<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.125706.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Risk factors for the incomplete immunization of children of health workers at a tertiary referral hospital in Surabaya, Indonesia</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved with reservations, 1 not approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Puspitasari</surname>
                        <given-names>Yunita</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Husada</surname>
                        <given-names>Dominicus</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-9191-9546</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Utomo</surname>
                        <given-names>Budi</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Endaryanto</surname>
                        <given-names>Anang</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Prasetyo</surname>
                        <given-names>Risky Vitria</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-1708-5384</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Martini</surname>
                        <given-names>Santi</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-2424-1776</uri>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Child Health, Faculty of Medicine, Universitas Airlangga, Surabaya, East Java, 60132, Indonesia</aff>
                <aff id="a2">
                    <label>2</label>Department of Community Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya, East Java, 60132, Indonesia</aff>
                <aff id="a3">
                    <label>3</label>Department of Public Health, Universitas Airlangga, Surabaya, East Java, 60115, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:dominicushusada@aol.com">dominicushusada@aol.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>6</day>
                <month>10</month>
                <year>2022</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2022</year>
            </pub-date>
            <volume>11</volume>
            <elocation-id>1143</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>15</day>
                    <month>9</month>
                    <year>2022</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Puspitasari Y et al.</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/11-1143/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> Health workers as role models play a key role in increasing immunization coverage. The coverage of complete basic immunization in the city of Surabaya is 98.1%, a figure not similar to the incidences of infectious diseases that can be prevented by immunization. This study aims to determine the risk factors for incomplete immunization of the children of health workers.</p>
                <p>
                    <bold>Methods:</bold> A case-control questionnaire study comparing incompletely immunized children (case group) and completely immunized children (control group) was done. Participants were children of health workers at a tertiary referral hospital in Surabaya. We conducted interviews and distributed and collected questionnaires from December 2021 to April 2022. Bivariate and multivariate analyses were conducted using the Pearson chi-square test and binary logistic regression.</p>
                <p>
                    <bold>Results:</bold> Overall, 148 questionnaires were distributed, 33 of which were excluded due to incomplete data. Therefore, 115 health workers&#x2019; children were eligible participants. 62 participants (53.9%) made up the case group, while the control group consisted of 53 participants (46.1%). The average age of the children was 12.5 months, 51.3% were boys and 48.7% were girls. The parental age, parental knowledge, mother's education, and the presence of the coronavirus disease 2019 (COVID-19) pandemic has a significant association with the children&#x2019;s immunization status with 
                    <italic toggle="yes">p</italic>-values of 0.043, 0.005, 0.002, and 
                    <italic toggle="yes">p</italic> &lt; 0.001, respectively. The children of health workers with a low level of knowledge are 4.8 times more likely to be incompletely immunized (OR 4.887, 95% CI 1.346&#x2013;35.152). In addition, the possibility of the incomplete immunization of a child is eight times higher for a low-income family (OR 8.679; 95% CI 1.429&#x2013;52.701).</p>
                <p>
                    <bold>Conclusions:</bold> Low levels of parental knowledge and income are associated with the occurrence of incomplete immunization among the children of health workers at a tertiary referral hospital in Surabaya.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Incomplete immunization</kwd>
                <kwd>Risk factors</kwd>
                <kwd>Children</kwd>
                <kwd>Health workers</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>A health worker is a person who devotes themselves to the health sector and has the knowledge and skills from education in the health sector which, for certain roles, require(s) the authority to carry out health efforts. The health efforts of health workers can provide the example of the complete basic immunization status of their children to the wider population. The criteria for complete immunization in Indonesia followed the Ministry of Health Regulation No. 12 of 2017 concerning the administration of immunization: Every infant (aged 0&#x2013;11 months) is required to receive complete basic immunization consisting of one dose of Hepatitis B, one dose of Bacillus Calmette&#x2013;Gu&#x00e9;rin (BCG), three doses of diphtheria/pertussis/tetanus (DPT), hepatitis B (HB), Haemophilus influenza type B (HiB), four doses of polio drops, and one dose of measles-rubella (MR).
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> Research suggests that health workers play a key role in maintaining and increasing immunization coverage.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> However, a systematic review found that health workers who have good knowledge still have negative attitudes toward immunization, such as less belief in the benefits and safety of immunization,
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> so they are less likely to have their children receive immunizations and recommend them to the public.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup>
            </p>
            <p>In 2019, in the East Java province, complete basic immunization coverage was at 95.5%.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> Meanwhile, in the city of Surabaya, complete basic immunization coverage was 98.1%. The Universal Child Immunization (UCI) indicator shows villages or sub-districts that have received complete child immunizations. UCI data shows that in 2019, out of 8501 villages, 7686 (90.4%) had implemented village UCI, a figure that had risen from the previous year's 85.4%.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> However, these figures are not comparable with the incidences of infectious diseases that can be prevented by immunization. In Indonesia, diphtheria is a re-emerging disease, especially in East Java. In 2019 alone, there were 358 cases of diphtheria in East Java.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
            </p>
            <p>Indonesian society is still influenced by community leaders, professionals, and/or environmental leaders who can serve as role models in certain matters and situations. Therefore, health workers as role models play a key role in increasing immunization coverage. Research has found that the determinants of immunization status are immunization goals, the readiness of health facilities, and community access.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> Educational, economic, and health access factors play an important role in increasing immunization coverage, so much so that mothers who give birth in health facilities have a higher immunization awareness.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> The community's motivation for immunization reflects the health workers&#x2019; motivation for immunization, including the respective risk factors and beliefs about immunization.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> Dr. Soetomo Academic Hospital in Surabaya is a referral hospital for eastern Indonesia with 1714 beds and 3332 health workers. Many studies show that people's motivation for immunization is the same as those of health workers.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> Health workers as role models play an important role in increasing immunization coverage. This study aims to determine the risk factors for incomplete immunization among the children of health workers at Dr. Soetomo Hospital.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Study design and questionnaire</title>
                <p>A cross-sectional questionnaire-based study was conducted at the Dr. Soetomo Hospital in Surabaya, Indonesia, from December 2021 to April 2022. This study compared incompletely immunized children (case group) with completely immunized children (control group). In this study, interviews were conducted for 30 minutes. The notes taken during the interview used only for research interest. A questionnaire was used to collect demographic data from the participants including the age of the children, parental age, place of birth, sex, ethnicity, place of immunization, father's education, mother's education, parental income, religion, and history of child immunization. In addition, the questionnaire contained 10 questions on basic immunization knowledge to assess the parent&#x2019;s level of knowledge about their child's immunization status. The questions included immunization targets, types of immunization, immunization schedules, immunization goals, and immunization contraindications. Before the start of the study, we conducted a pilot study with 20 participants to check the validity and reliability of the questionnaire. The participants were recruited from the general public in the community health post (near the hospital) randomly. Participants who scored 0&#x2013;70% on the 10 questions were considered to be in the low level of knowledge category, while participants who scored above 70% were considered to be in the high level of knowledge category. Based on the result of this pilot study, the questionnaire can be used without further modification. The questionnaire can be found as 
                    <italic toggle="yes">Extended data</italic>.
                    <sup>
                        <xref ref-type="bibr" rid="ref28">28</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec4">
                <title>Sample</title>
                <p>The inclusion criteria for health workers were doctors, nurses, midwives, pharmacists, nutritionists, physiotherapists, and medical record administration staff. The criteria for complete immunization followed Ministry of Health Regulation No. 12 of 2017 concerning the administration of immunization: Every infant (aged 0&#x2013;11 months) is required to receive complete basic immunization consisting of one dose of Hepatitis B, one dose of Bacillus Calmette&#x2013;Gu&#x00e9;rin (BCG), three doses of diphtheria/pertussis/tetanus (DPT), hepatitis B (HB), Haemophilus influenza type B (HiB), four doses of polio drops, and one dose of measles-rubella (MR).
                    <sup>
                        <xref ref-type="bibr" rid="ref12">12</xref>
                    </sup>
                </p>
                <p>The inclusion criteria for the case group participants in this study were parents who worked as hospital health workers and had children aged less than 24 months with incomplete immunization records. Meanwhile, the inclusion criteria for the control group were parents who worked as hospital health workers and had children aged less than 24 months with complete immunization records. The exclusion criteria in this study included participants who did not have an immunization control book, could not speak the Indonesian language and had a history of incomplete immunization data. The sample was taken using the random sampling method and with the formula for two populations, a 95% confidence interval, a statistical power of 80%, p1 0.9, and p2 0.7. We assumed 10% drop out from this subject. The minimal sample size requirement was 148.</p>
            </sec>
            <sec id="sec5">
                <title>Ethical considerations</title>
                <p>This research was approved by and received ethical clearance from the Health Research Ethical Committee of Dr. Soetomo Hospital (number 0244/KEPK/VIII/2021). Confidentiality of the research participants was well maintained by not mentioning particular names; instead, initials were used. The results of this study are for research purposes only.</p>
            </sec>
            <sec id="sec6">
                <title>Data analysis</title>
                <p>The data were analyzed using Microsoft Excel version Windows 11 and IBM Statistic SPSS Version 25. The dependent variables in this study were the immunization statuses of the children. The completely immunized children were the control group, while the incompletely immunized children were the case group. The independent variables in this study were parental knowledge, parental education, religion, parental income, parental age, type of health workers, place of birth, child's birth order, ethnicity, and the coronavirus disease 2019 (COVID-19) pandemic (the pandemic made people afraid to bring their children for the immunization services). Univariate analysis was conducted to determine the characteristics of completely and incompletely immunized children, as well as to describe the independent and dependent variables. We also determined the significance value between the independent and dependent variables using the Pearson chi-square and/or Fisher&#x2019;s exact test to identify the odds ratio (OR) with a 95% confidence interval (CI). A 
                    <italic toggle="yes">p</italic>-value below 0.05 was considered significant. Multivariate analysis was conducted to determine the most influential risk factors for the incomplete immunization of the children of health workers.</p>
            </sec>
        </sec>
        <sec id="sec7" sec-type="results">
            <title>Results</title>
            <p>A total of 148 questionnaires were distributed to participants who met the inclusion and exclusion criteria: 31 refused to fill out the questionnaire and two provided incomplete data, so a total of 115 participants were obtained.
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup> Of the 115 participants, 62 participants (53.9%) were included in the case group, which comprised health workers with incompletely immunized children, and 53 participants (46.1%) were included in the control group, which comprised health workers with completely immunized children (
                <xref ref-type="fig" rid="f1">Figure 1</xref>). The average age of the health worker participants was 31.8 years. The health workers were divided into two types: medical personnel (13.9%) and non-medical personnel (86.1%). The characteristics of the participants are presented in 
                <xref ref-type="table" rid="T1">Table 1</xref>. 
                <xref ref-type="table" rid="T2">Table 2</xref> shows that the incomplete immunization of the children is 48.4% due to the COVID-19 pandemic, 29% due to illness, and 22.6% due to no time.</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>Flow of research participant recruitment.</title>
                </caption>
                <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/138043/c69ee6bc-0f76-42d6-8e46-a49d5c97665e_figure1.gif"/>
            </fig>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>Table 1. </label>
                <caption>
                    <title>Participant characteristics.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Variables</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Value N = 115</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Participants</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Mothers</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">101 (87.8)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Fathers</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">14 (12.2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Parental age (year), median [IQR]</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">32 [29&#x2013;34]</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;20&#x2013;35</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">98 (85.2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;&gt;35</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">17 (14.8)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Age of children (months), median [IQR]</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">11 [7&#x2013;19]</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;0&#x2013;9</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">48 (41.7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;10&#x2013;24</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">67 (58.3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Child sex</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Boy</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">59 (51.3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Girl</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">56 (48.7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Type of health worker</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Medical personnel</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">16 (13.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Non-medical personnel</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">99 (86.1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Religion</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Muslim</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">108 (93.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Catholic</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4 (3.5)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Christian</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3 (2.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Ethnicity</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Java</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">105 (91.3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Tionghoa</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3 (2.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Banjar</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2 (1.7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Sunda</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1 (0.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Sasak</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1 (0.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Maluku</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1 (0.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Bima</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1 (0.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Bugis</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1 (0.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Father&#x2019;s education</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Junior High School</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1 (0.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Senior High School</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">16 (13.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Diploma</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">45 (39.1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Bachelor</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">49 (42.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Postgraduate/Specialist</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4 (3.5)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Mother&#x2019;s education</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Senior High School</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5 (4.3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Diploma</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">56 (48.7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Bachelor</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">48 (41.7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Postgraduate/Specialist</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6 (5.2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Parental income (IDR)</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;1&#x2013;2 million</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2 (1.7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;&gt;2&#x2013;3 million</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">9 (7.8)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;&gt; 3 million</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">104 (90.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Birth order</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;1</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">47 (40.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;2</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">47 (40.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;3</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">18 (15.7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;4</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2 (1.7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;5</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1 (0.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Place of birth</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Hospital</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">108 (93.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Midwives</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6 (5.2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Primary Health Care</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1 (0.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>COVID-19 pandemic</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">26 (22.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">89 (77.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Place of immunization</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Hospital</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">46 (40)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Midwives</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">23 (20)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Primary Health Care</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">32 (27.8)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Clinic</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">14 (12.2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Parent&#x2019;s knowledge</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;High (&gt; 70%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">91 (79.1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Low (0&#x2013;70%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">24 (20.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Child immunization status</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Complete</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">53 (46.1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Incomplete</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">62 (53.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Additional immunizations</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">36 (31.3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">79 (68.7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>BCG injection marks</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">111 (96.5)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4 (3.5)</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>All variables are not normally distributed; data presented as 
                        <italic toggle="yes">median; interquartile range [IQR]</italic>; 
                        <italic toggle="yes">n</italic> (%); BCG: 
                        <italic toggle="yes">Bacillus Calmette-Gu&#x00e9;rin</italic>.</p>
                </table-wrap-foot>
            </table-wrap>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>Table 2. </label>
                <caption>
                    <title>Reasons for incomplete immunization status of children.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Reason (n = 62)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">n (%)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">COVID-19 pandemic</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">30 (48.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Child being ill</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">18 (29)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Bad time for taking children to receive immunization</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14 (22.6)</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Data shown as numbers and percentages. COVID-19: coronavirus disease 2019.</p>
                </table-wrap-foot>
            </table-wrap>
            <p>
                <xref ref-type="table" rid="T3">Table 3</xref> shows the analysis of the bivariate test between several factors and the immunization status of the health workers&#x2019; children. Factors that had significant differences included parental age, parental knowledge, mother's education, and the presence of a pandemic with 
                <italic toggle="yes">p</italic>-values of 0.043, 0.005, 0.002, and &lt;0.001, respectively. Parental age had a 3.250 times greater risk of influencing incomplete child immunization. The older the parents, the greater risk for incomplete child immunization. For the mother's education factor, an OR of 3.221 was obtained, which means that the mother's low level of education had a 3.221 times greater risk of influencing incomplete child immunization. There were no significant differences between religion, occupation, father's education, parental income, birth order, history of the place of birth, and ethnicity in the immunization status of the children of health workers working at a tertiary referral hospital.</p>
            <table-wrap id="T3" orientation="portrait" position="float">
                <label>Table 3. </label>
                <caption>
                    <title>Bivariate analysis of factors related to the immunization status of the children.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="top">Variables</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">Immunization status</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
                                <italic toggle="yes">p</italic>-value</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">OR</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">95% CI</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Complete n = 53</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Incomplete n = 62</th>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top">Lower</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Upper</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Parental age (years)</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.043
                                <xref ref-type="table-fn" rid="tfn2">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">3.250</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.990</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">10.668</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;20&#x2013;35</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">49 (92.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">49 (79)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;&gt;35</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5 (7.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">13 (21)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Religion</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.337</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">2.237</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.416</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">12.035</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Islam</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">51 (96.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">57 (91.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Non-Islam</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2 (3.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5 (8.1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Type of health workers</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.735</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.833</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.290</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">2.398</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Medical personnel</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">8 (15.1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">8 (12.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Non-medical personnel</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">45 (84.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">54 (87.1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Parental knowledge</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.005
                                <xref ref-type="table-fn" rid="tfn2">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.236</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.081</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.686</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;High (&gt;70%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">48 (90.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">43 (69.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Low (0&#x2013;70%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5 (9.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">19 (30.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Father&#x2019;s education</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.334</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">1.438</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.687</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">3.007</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Bachelor</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">27 (50.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">26 (41.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Non-bachelor</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">26 (49.1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">36 (58.1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Mother&#x2019;s education</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.002
                                <xref ref-type="table-fn" rid="tfn2">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">3.221</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">1.499</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">6.922</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Bachelor</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">33 (62.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">21 (33.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Non-bachelor</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">20 (37.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">41 (66.1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Parental income (IDR)</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.051</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.231</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.048</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">1.121</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;1-3 million</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2 (3.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">9 (14.5)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;&gt;3 million</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">51 (96.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">53 (85.5)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Birth order</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.416</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">1.492</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.566</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">3.934</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;1&#x2013;2</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">45 (84.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">49 (79)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;&#x2265;3</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">8 (15.1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">13 (21)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Place of birth</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.860</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">1.149</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.245</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">5.383</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Hospital</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">50 (94.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">58 (93.5)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Other health facilities</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3 (5.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4 (6.5)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Ethnicity</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.285</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">2.121</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">0.520</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">8.651</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Java</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">50 (94.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">55 (88.7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Non-java</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3 (5.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">7 (11.3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>COVID-19 pandemic</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="3" valign="middle">&lt;0.001
                                <xref ref-type="table-fn" rid="tfn2">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">-</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0 (0)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">26 (41.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2003;No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">53 (100)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">36 (58.1)</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Pearson chi-Square test, Fisher&#x2019;s exact test as appropriate.</p>
                    <fn-group content-type="footnotes">
                        <fn id="tfn2">
                            <label>*</label>
                            <p>A 
                                <italic toggle="yes">p</italic>-value below 0.05 means the variable is statistically significant. OR: odds ratio, CI: confidence interval, COVID-19: coronavirus disease 2019.</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
            <p>The results of the multivariate analysis on parental knowledge and income had a significant effect on the completeness of children's immunization, with a 
                <italic toggle="yes">p</italic>-value of 0.017, 0.019; OR 4.887, 8.679; 95% CI 1.333&#x2013;17.917, 1,429&#x2013;52,701, respectively (
                <xref ref-type="table" rid="T4">Table 4</xref>). 
                <xref ref-type="table" rid="T4">Table 4</xref> shows that low parental knowledge has a 4.8 times greater risk of influencing the incomplete immunization of children. In addition, parents with low incomes of around 1&#x2013;3 million Indonesian Rupiah (IDR) (USD 67-201) have an eight times greater risk of incompletely immunizing their children. This suggests that the knowledge and income of parents may have an effect on the immunization status of the children of health workers at the tertiary referral hospital.</p>
            <table-wrap id="T4" orientation="portrait" position="float">
                <label>Table 4. </label>
                <caption>
                    <title>Eligibility test of the logistic regression multivariate analysis model (Enter method).</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="top">Variables</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">B</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">S.E.</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Wald</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">
                                <italic toggle="yes">df</italic>
                            </th>
                            <th align="left" colspan="1" rowspan="2" valign="top">
                                <italic toggle="yes">p</italic>-value</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">OR</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">95% CI</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Lower</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Upper</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Parental age</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.854</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.162</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.539</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.941</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.941</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.189</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.679</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Parental knowledge</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3.049</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.050</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8.428</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.017
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.887</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.333</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">17.917</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Mother&#x2019;s education</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">20.914</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14506.219</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.000</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.086</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.411</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.149</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.135</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Parental income</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.512</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.745</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.073</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.019
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8.679</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.429</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">52.701</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">COVID-19 Pandemic</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-21.653</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6357.934</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.000</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.997</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.000</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.000</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">.</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Binary logistic regression.</p>
                    <fn-group content-type="footnotes">
                        <fn id="tfn1">
                            <label>*</label>
                            <p>A 
                                <italic toggle="yes">p</italic>-value below 0.05 means the variable is statistically significant. OR: odds ratio, CI: confidence interval, COVID-19: coronavirus disease 2019.</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
        </sec>
        <sec id="sec8" sec-type="discussion">
            <title>Discussion</title>
            <p>This study investigated the completeness of the immunization of children of health workers from the age of 0&#x2013;to 24 months. To determine the immunization status of the children, the participants were required to have data records in their immunization books and/or cards. The knowledge of the participants in this study had a significant difference, with a 
                <italic toggle="yes">p</italic>-value of 0.005 and an OR of 0.236, which means that the parents' knowledge has a 0.236 times greater risk of determining the incomplete immunization of children. In line with these results, research in Finland showed that the majority of Finnish health workers have high confidence in the benefits and safety of immunization and show confidence in other health professionals. However, low immunization confidence is found among a non-negligible proportion of health workers.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> This study found that there were still health workers with low levels of knowledge, which led to the incomplete immunization status of their children. A systematic review stated that health workers who have good knowledge still have negative attitudes toward immunization: they have less belief in the benefits and safety of vaccination, so they are less likely to have their children receive immunizations and recommend it to the community.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
            </p>
            <p>Our research found that 101 (87.8%) of the participants were mothers. A study in Eritrea, with a sample of 1323 mothers with children aged 0&#x2013;59 months, found that the children of educated mothers had complete basic immunization compared to the children of mothers who were not educated.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> Research in Georgia found that incomplete immunization is associated with a lack of maternal knowledge about immunization.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> The findings of our study agree with those of Verulava 
                <italic toggle="yes">et al</italic>.&#x2019;s: maternal education plays an important role and is related to the completeness of the child's immunization (
                <italic toggle="yes">p</italic> = 0.002). A study in China found that parental education is an important variable that influences parents' decisions on immunization. Parents with a bachelor's degree and above were more likely to immunize their children in the hope of effectiveness, but parents with a low level of education were less likely to have their children receive immunizations for this reason. Few highly educated parents refused immunization because of the risk of immunization, while less educated parents significantly declined immunization for that reason.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup>
            </p>
            <p>Parental age was also found to have a significant relationship with determining the immunization status of children. Previous research found that mothers and parents aged 20&#x2013;39 years have doubts about immunization, especially in terms of its safety and effectiveness.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> Meanwhile, according to Adokiya (2017), the increase in maternal age corresponds to an increase in the child's immunization status since mothers who are older have more knowledge of and exposure to previous immunizations than younger mothers.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> In Indonesia, women under the age of 16 are less likely to use health services than older women. Young mothers are often unable to make decisions on their own and tend to discuss decisions with family members.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> In addition to parental age, the family income also has a significant influence on the immunization status of children. In Indonesia, based on law number 12 of 2017 concerning the administration of immunization, Article 30 states that the administration of complete basic immunization is provided free of charge according to a predetermined schedule.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> Although the implementation of immunization in Indonesia is free, incompletely immunized children are not uncommon. By providing complete immunizations, family welfare is one of the preventive health measures for children.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup>
            </p>
            <p>This study found that many parents (41.9%) with incompletely immunized children stated that their reason for delaying immunization was due to the COVID-19 pandemic. The bivariate analysis of the difference between the COVID-19 pandemic incident factor and the immunization status of the children of health workers had a significant difference, with a 
                <italic toggle="yes">p</italic>-value of &lt;0.001. According to research by Olusanya 
                <italic toggle="yes">et al</italic>. (2021), the background of the COVID-19 pandemic is an obstacle to vaccine non-compliance or rejection.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> Immunization service providers facilitate standard health protocols that must be applied in immunization services. To combat the health issue during this pandemic, telemedicine video conferencing, outdoor/curbside/drive-through vaccine administration, minimization of the number of onsite patient visits at one time, and providing special, well-ventilated vaccine visits should be introduced to address the health crisis.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> The catch-up vaccine protocol issued by the Centers for Disease Control and Prevention to facilitate immunization coverage for children who missed their vaccine schedule during the pandemic should be implemented.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup>
            </p>
            <p>Health workers have knowledge in the field of health, an important aspect to consider when investigating the attitudes of health workers towards immunization compared to the general population. Health workers are expected to have obtained evidence-based information about immunization. Such knowledge can also be obtained through experience gained both formally and informally. This knowledge includes the definition of immunization, immunization schedule, type of immunization, immunization goals, how to administer immunizations, and the effects of immunization. This knowledge shapes the health worker&#x2019;s perception of whether or not their children should receive immunizations. Communities consider this knowledge to be the most crucial factor for locating immunization information. Low immunization confidence is found among a non-negligible proportion of health workers.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
            </p>
            <p>Although the participants in this study were health workers with the good, formal education necessary for a health worker, a low level of knowledge regarding immunization was still present, which indicates that the low level of knowledge factor would have a four times greater risk of influencing the incomplete immunization of the children of health workers at the tertiary referral hospital in Surabaya. In this study, family welfare was seen from parental income; low parental income signifies that the possibility of children being incompletely immunized is eight times higher than in the case of high parental income. This is supported by data on the characteristics of immunization facilities that are widely used by health workers, namely in hospitals, as many as 40%. The advantages of this research are that the data used were the immunization data records in the immunization books and/or cards of the participants&#x2019; children. A better source of data for tracking immunization status is medical records such as the Health Card or Maternal and Child Health books.
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup> This study was conducted retrospectively; therefore, recall bias may have occurred, which is the limitation of our study. Recall bias may have occurred in regard to the parents&#x2019; reasons for the incomplete immunization of their children since all the data pertaining to that were based on the parents&#x2019; memory. However, this was unavoidable as we cannot track events that are not recorded objectively.</p>
        </sec>
        <sec id="sec9" sec-type="conclusion">
            <title>Conclusion</title>
            <p>Low levels of parental knowledge and income are correlated with the immunization of the children of health workers at the tertiary referral hospital in Surabaya. More than half of the children of the health workers are incompletely immunized. This is a major concern, but many factors were not found to be related to the situation other than parental knowledge and income. However, another important factor that requires significant attention is the motivation of parents to get the best health-related quality of life for their children. People were reluctant to bring their children for immunization services due to the COVID-19 outbreak. Moreover, parental adherence to childhood immunization need to be investigated further to identify the parental motivations for providing the best quality of life for children. The role of the work environment also needs to be investigated further as it is related to the low level of knowledge of the participants with a complete immunization state.</p>
        </sec>
        <sec id="sec10">
            <title>Data availability</title>
            <sec id="sec11">
                <title>Underlying data</title>
                <p>Figshare: Raw data of Incomplete Immunization of Health Workers' Children at a Tertiary Referral Hospital in Surabaya, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.21097213.v1">https://doi.org/10.6084/m9.figshare.21097213.v1</ext-link>.
                    <sup>
                        <xref ref-type="bibr" rid="ref27">27</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec12">
                <title>Extended data</title>
                <p>Figshare: Online resource the questionnaire immunization form, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.21021715.v2">https://doi.org/10.6084/m9.figshare.21021715.v2</ext-link>.
                    <sup>
                        <xref ref-type="bibr" rid="ref28">28</xref>
                    </sup>
                </p>
            </sec>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgments</title>
            <p>The authors would like to thank the Head of the Department of Child Health at the hospital for permitting us to carry out this study. We appreciate the help of the Education Coordination Committee for their support and provision of access to reach health worker participants in hospitals.</p>
        </ack>
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                    <year>2022</year>.
                    <pub-id pub-id-type="doi">10.6084/m9.figshare.21097213.v1</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref28">
                <label>28</label>
                <mixed-citation publication-type="other">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Puspitasari</surname>
                            <given-names>Y</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Husada</surname>
                            <given-names>D</given-names>
                        </name>
</person-group>:
                    <article-title>The questionnaire immunization form.docx. figshare. Online resource. [Dataset].</article-title>
                    <year>2022</year>.
                    <pub-id pub-id-type="doi">10.6084/m9.figshare.21021715.v2</pub-id>
                </mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report163845">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.138043.r163845</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Vergadi</surname>
                        <given-names>Eleni</given-names>
                    </name>
                    <xref ref-type="aff" rid="r163845a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-4026-0328</uri>
                </contrib>
                <aff id="r163845a1">
                    <label>1</label>Department of Paediatrics, School of Medicine, University of Crete, Heraklion, Greece</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>3</day>
                <month>4</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Vergadi E</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport163845" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.125706.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The study from Yunita Puspitasar 
                <italic>et al.</italic>, addresses the reasons of incomplete immunization of children of healthcare workers in a tertiary hospital in Indonesia. Interesting study, although the main limitation is that is single center study of the low sample size.</p>
            <p> </p>
            <p> 
                <bold>Some comments:</bold>
            </p>
            <p> </p>
            <p> 
                <bold>Title</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Please change the phrase 'risk factors' in the whole manuscript. The word 'determinants' may be more appropriate.</p>
                    </list-item>
                </list> 
                <bold>Abstract</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>The introduction needs to be rewritten to be more concise and to the point.</p>
                    </list-item>
                    <list-item>
                        <p>Change the phrase 'case control' to 'cross sectional study'.</p>
                    </list-item>
                </list> 
                <bold>Introduction</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Please avoid the phrase 'risk factors'.</p>
                    </list-item>
                    <list-item>
                        <p>Avoid mentioning the name of the hospital in the whole manuscript.</p>
                    </list-item>
                    <list-item>
                        <p>As the vaccination coverage is reported high 98%, the rationale of the study is unclear. Please clarify.</p>
                    </list-item>
                    <list-item>
                        <p>Hepat B dosing is referred to twice.</p>
                    </list-item>
                </list> 
                <bold>Methods</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>What do you mean as 'incomplete status'? Please define better - how many vaccines were missing in these children?</p>
                    </list-item>
                    <list-item>
                        <p>How was random sampling done?</p>
                    </list-item>
                </list> 
                <bold>Results</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Sex should be 'male &#x2013; female' and not 'mother &#x2013; father'.</p>
                    </list-item>
                    <list-item>
                        <p>Where there siblings among participants (e.g., from same family)? Please clarify.</p>
                    </list-item>
                </list> 
                <bold>Discussion</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Please amend the limitations by discussing the low sample size and as well as the fact that the data are derived of a single center and may not represent other populations of health care workers.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Partly</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Infectious diseases, vaccines, immunology</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report152621">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.138043.r152621</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Ferdiana</surname>
                        <given-names>Astri</given-names>
                    </name>
                    <xref ref-type="aff" rid="r152621a1">1</xref>
                    <xref ref-type="aff" rid="r152621a2">2</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0666-4302</uri>
                </contrib>
                <aff id="r152621a1">
                    <label>1</label>Faculty of Medicine Universitas Mataram, Mataram, Indonesia</aff>
                <aff id="r152621a2">
                    <label>2</label>Center for Tropical Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>22</day>
                <month>11</month>
                <year>2022</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Ferdiana A</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport152621" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.125706.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>
                <bold>General comment:</bold> English proofreading is necessary to improve readability.</p>
            <p> </p>
            <p> 
                <bold>Abstract</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Recommend to rewritten to be more concise.</p>
                    </list-item>
                    <list-item>
                        <p>Add recommendation in the Conclusion.</p>
                    </list-item>
                </list> 
                <bold>Introduction</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Paragraph 2: Need some more contextual information about the East Java Province.</p>
                    </list-item>
                    <list-item>
                        <p>Paragraph 3: Not sure what's the correlation between the 1st and 2nd sentences. The argument of why community motivation reflects health worker's motivation is not very clear. Information on the study setting should be in the "Setting" under Methods section.</p>
                    </list-item>
                    <list-item>
                        <p>I don't think we can identify risk factors with this study design, better use "predictors".</p>
                    </list-item>
                </list> 
                <bold>Methods</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>In the Abstract it is mentioned "case control" as study design, but it is mentioned as "cross sectional" in the Study Design section.&#x00a0;I think this is a cross sectional study and not a case control study. All variables were measured at the same time.&#x00a0;</p>
                    </list-item>
                    <list-item>
                        <p>It should be made more clear how "incomplete" and "complete" immunization status was defined. How about late immunization?</p>
                    </list-item>
                    <list-item>
                        <p>There should be section on "Variables and Instruments".</p>
                    </list-item>
                    <list-item>
                        <p>Table 4: why you used the term eligibility test? And how did you choose the covariates to be entered in the model? Please explain in more detail in the Methods section.</p>
                    </list-item>
                    <list-item>
                        <p>It was not clear how the random sampling was done.</p>
                    </list-item>
                    <list-item>
                        <p>It was not explained whether written informed consent was obtained and how.</p>
                    </list-item>
                    <list-item>
                        <p>It wasn't very clear how the multivariate analysis done. Was logistic regression used?&#x00a0;I don't think multivariable regression analysis is appropriate given the sample size.&#x00a0;</p>
                    </list-item>
                </list> 
                <bold>Results</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Sex should be male-female instead of boy-girl.</p>
                    </list-item>
                    <list-item>
                        <p>I think it is better to separate the tables into "characteristics of respondents" and "knowledge" etc.</p>
                    </list-item>
                    <list-item>
                        <p>With such a study design, we cannot say that an A predictor has greater risk/lower risk of having the outcome. We can only say that the predictor is associated with the outcome.&#x00a0;</p>
                    </list-item>
                    <list-item>
                        <p>Avoid writing "tertiary referral hospital" too often. It should be mentioned only once.</p>
                    </list-item>
                </list> 
                <bold>Discussion</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Please do not repeat the figures from the Results section in the Discussion.</p>
                    </list-item>
                    <list-item>
                        <p>Start with main findings, and organize the findings based on the research question. Compare with the previous literature, and implications to policy, research and or practice.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Public health, epidemiology</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
    </sub-article>
</article>
