<?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.131267.2</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>Knowledge of obstetric danger signs and associated factors among pregnant women attending antenatal care services at Thai community hospital</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 2; peer review: 2 approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Koovimon</surname>
                        <given-names>Pruk</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/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Kaikaew</surname>
                        <given-names>Kasiphak</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Supervision</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>Mahoree</surname>
                        <given-names>Khanittha</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Bumphenkiatikul</surname>
                        <given-names>Thanapob</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-3311-8040</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Wang Saphung Hospital, Wang Saphung, Loei, 42130, Thailand</aff>
                <aff id="a2">
                    <label>2</label>Department of Physiology, Faculty of Medicine, Chulalongkorn University, Pathumwan, Bangkok, 10330, Thailand</aff>
                <aff id="a3">
                    <label>3</label>Center of Excellence in Transgender Health (CETH), Faculty of Medicine, Chulalongkorn University, Pathumwan, Bangkok, 10330, Thailand</aff>
                <aff id="a4">
                    <label>4</label>Division of Academic Affairs, Faculty of Medicine, Chulalongkorn University, Pathumwan, Bangkok, 10330, Thailand</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:thanapob@chula.md">thanapob@chula.md</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>27</day>
                <month>10</month>
                <year>2023</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2023</year>
            </pub-date>
            <volume>12</volume>
            <elocation-id>851</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>19</day>
                    <month>10</month>
                    <year>2023</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Koovimon P et al.</copyright-statement>
                <copyright-year>2023</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/12-851/pdf"/>
            <abstract>
                <p>Background: To decrease preventable maternal mortality, providing health education to all parties is mandatory. Good knowledge, including awareness of pregnant women regarding obstetric danger signs (ODS), leads to appropriate practices and services. The knowledge of ODS varies among countries and regions. Since the data in rural regions of Thailand remains unavailable, this study aimed to identify the prevalence of good ODS knowledge and associated factors among pregnant women attending antenatal services at a Thai community hospital.</p>
                <p>Methods: We performed a cross-sectional, analytical study in 415 singleton pregnant women who visited the antenatal clinic at Wang Saphung Hospital, Loei, Thailand. A well-trained research assistant interviewed all participants using the data record form containing twenty items on the demographic and obstetric data and sixteen items on ODS knowledge. An ODS score of at least 75% (12 points) was considered a good level of knowledge.</p>
                <p>Results: A total of 275 participants (66.27%) had good knowledge of ODS. The most recognized ODS was vaginal bleeding whereas the least recognized ODS during pregnancy was convulsion; the least recognized ODS during labor and delivery was retained placenta. Multivariate regression analysis showed that the predictive factors of good OBS knowledge included a higher education level, maternal age of at least 20 years, and having medical personnel as a source of knowledge.</p>
                <p>Conclusions: In a rural setting of Thailand, two-thirds of pregnant women had good ODS knowledge. Identifying those at risk for fair and poor ODS knowledge and prompt management for the vulnerable subgroups might help decrease maternal mortality.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Awareness</kwd>
                <kwd>Women's health</kwd>
                <kwd>Complications</kwd>
                <kwd>Maternal mortality</kwd>
                <kwd>Delivery</kwd>
                <kwd>Healthcare</kwd>
                <kwd>Health education</kwd>
                <kwd>Postpartum</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>
        <notes>
            <sec sec-type="version-changes">
                <label>Revised</label>
                <title>Amendments from Version 1</title>
                <p>In this updated version of the article, several significant improvements have been made in response to feedback from reviewers. Notably, the referenced low Maternal Mortality Ratio (MMR) statistic was modified, shifting from the US data to data from the lowest MMR countries, namely Australia and New Zealand, aligning the study with more appropriate benchmarks. Additionally, references have been integrated to various claims within the fourth paragraph of the introduction, enhancing the article's overall credibility and reliability. This inclusion was in direct response to suggestions from reviewer 1. Furthermore, this revised version incorporates a rationale for the establishment of the "good," "fair," and "poor" knowledge categories. This addition, suggested by reviewer 2, enhances the reader's understanding of the study's methodology and its alignment with prior research. Lastly, proofreading and editing were carried out to identify and rectify any grammatical errors, ensuring the text is presented with precision and clarity.</p>
            </sec>
        </notes>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>The maternal mortality ratio (MMR) is one of the indicators of the public health status of a specific region. Several global authorities devised a long-term plan to reduce global MMR. In 2000, the United Nations (UN) declared the Millennium Development Goals, which included &#x201c;improving maternal health,&#x201d; as Millennium Development Goal 5 (MDG-5). The MDG-5 aimed for a 75% reduction in the global MMR.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> In 2015, the United Nations Department of Economic and Social Affairs (UNDESA) and all member countries agreed to aim to accomplish the Sustainable Development Goals (SDG) by 2030. The target of SDG Goal 3 is to &#x201c;ensure healthy lives and promote well-being for all at all ages.&#x201d; This goal includes &#x201c;reducing the global MMR to less than 70 per 100,000 births, with no country having a maternal mortality rate of more than twice the global average.&#x201d;
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> Having these goals consistently included in international plans implicitly reflects the global significance of this unresolved situation.</p>
            <p>Globally, the MMR is decreasing.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> The index differs among countries, ranging from 4 deaths per 100,000 live births in the Australia and New Zealand to 442 deaths per 100,000 births in Africa.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> Thailand&#x2019;s maternal mortality rate (MMR) was 48.0 deaths per 100,000 live births in 2008.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> It fell to 37.0 deaths per 100,000 live births in 2017.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> Though the low baseline ratio met SDG Goal 3, achieving &#x201c;equity in MMR for vulnerable populations at the sub-national level&#x201d; is still the country&#x2019;s target.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
            </p>
            <p>To decrease preventable maternal mortality, providing health education to all parties involved in healthcare, including patients, families, communities, and medical personnel, is mandatory. Good knowledge will lead to appropriate attitudes and practices, i.e., prompt referral to proper medical services, thus decreasing preventable maternal mortality. Unawareness of obstetric danger signs (ODS) will delay the decision to seek proper care and eventually lead to morbidity and mortality.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
            </p>
            <p>The knowledge of ODS varies among countries and regions. The prevalence of mothers with good knowledge of ODS seems to be lower in some countries or in some rural areas with a higher MMR.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> Several studies on ODS knowledge have been conducted in developing countries,
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref30">30</xref>
                </sup> focusing on urban and rural areas. Most studies found that less than half of the study population had good knowledge of ODS.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref29">29</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref32">32</xref>
                </sup> In addition, the prevalence of good knowledge or awareness of ODS in rural areas was lower than in urban areas. One study was conducted to examine the prevalence of mothers with good knowledge of ODS and associated factors in a tertiary care university hospital in the capital city of Thailand and found that the prevalence of mothers with good knowledge was around 60%.
                <sup>
                    <xref ref-type="bibr" rid="ref33">33</xref>
                </sup> Currently, no data is available regarding the prevalence of mothers with good knowledge of ODS and associated factors in rural areas of Thailand, which are the subnational regions at risk for higher MMR. Thus, our study aimed to identify the prevalence of mothers with good knowledge of ODS and associated factors among pregnant women attending an antenatal care clinic at a community hospital in a Northeastern province of Thailand. In addition, we also aimed to identify the variables that could predict the ODS knowledge of pregnant women.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Ethics</title>
                <p>The study protocol was approved by the Human Research Ethics Committee, Loei Provincial Public Health Office (approval number: 0032.009/5503). Data collection was allowed by the director of Wang Saphung Hospital. Before the data collection, we obtained written informed consent from the participants or parents of participants under the legal age of consent.</p>
            </sec>
            <sec id="sec4">
                <title>Study design and participants</title>
                <p>This cross-sectional, analytical study was reported according to the 
                    <ext-link ext-link-type="uri" xlink:href="https://www.strobe-statement.org/">STROBE</ext-link> statement for cohort studies. Participants were women with an ultrasound-confirmed singleton pregnancy who could understand Thai and had their antenatal clinic visit(s) at Wang Saphung Hospital, Loei Province, from 1
                    <sup>st</sup> July 2021 to 30
                    <sup>th</sup> September 2022. Those who were medical personnel or had any prior antenatal clinic visits in any other healthcare setting were excluded from the study to avoid contamination of ODS education during current gestation before participation. The study gave no incentives to participants. Participants&#x2019; partners were not included in this study.</p>
            </sec>
            <sec id="sec5">
                <title>Data collection</title>
                <p>All participants were informed about the study&#x2019;s purposes, procedures, risks, and benefits. They were ensured that the decision was entirely voluntary. They could refuse or withdraw from the study at any time. Refusal, withdrawal, or having poor ODS knowledge would not affect the benefits or quality of care provided. A well-trained research assistant interviewed all participants.</p>
                <p>The process took place in a private room during the clinic&#x2019;s waiting period so as not to interfere with the care provided. The interview took approximately 30 minutes to complete. The research assistant completed two data record form sections. Section 1 consisted of twenty demographic and obstetric data items, including parity, number of antenatal visits, and gestational age at the interview. Section 2 consisted of sixteen pre-coded closed-ended items on knowledge of ODS: twelve were knowledge during pregnancy and four were knowledge during labor and delivery. Participants were asked to spontaneously list all signs they perceived as dangerous or would urge them to seek proper care. The research assistant checked all ODS mentioned by each participant, then started asking for the participant&#x2019;s knowledge of each of the rest of the ODS in section 2 of the data record form. Each response that acknowledged each ODS as dangerous was given one point. Zero point was given for unawareness of each ODS. We considered a score of at least 75% (12 points) to be a good level of knowledge, 50&#x2013;74% (6&#x2013;11 points) to be a fair level of knowledge, and 0&#x2013;49% (0&#x2013;5 points) to be a poor level of knowledge. The basis for determining the thresholds of &#x201c;good,&#x201d; &#x201c;fair,&#x201d; and &#x201c;poor&#x201d; levels of knowledge is rooted in a prior study carried out in Thailand.
                    <sup>
                        <xref ref-type="bibr" rid="ref33">33</xref>
                    </sup> Employing these consistent criteria facilitates a meaningful comparison between the two studies, allowing for a more comprehensive assessment of the country&#x2019;s health status. The data collection process was derived from studies conducted in Thailand and Malaysia.
                    <sup>
                        <xref ref-type="bibr" rid="ref31">31</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref33">33</xref>
                    </sup> The Cronbach&#x2019;s alpha for ODS items was equaled to 0.89, previously mentioned in one study with comparable participants, which indicated a good reliability of the record form.
                    <sup>
                        <xref ref-type="bibr" rid="ref31">31</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec6">
                <title>Sample size justification</title>
                <p>We calculated the sample size based on a previous study with a similar research design conducted by Kaewkiattikun 
                    <italic toggle="yes">et al</italic>.,
                    <sup>
                        <xref ref-type="bibr" rid="ref33">33</xref>
                    </sup> in a medical school in an urban area of Thailand. We applied the power of 80% and a confidence level of 95% to determine the difference between groups. After adding 10% to account for missing data, 415 participants were recruited for this study. The study used a simple random sampling method. We limited the number of participants per day to 10 to ensure the quality of care and the data collected.</p>
            </sec>
            <sec id="sec7">
                <title>Data analysis</title>
                <p>To analyze the data, a statistician used SPSS version 29 (IBM, Armonk, NY, USA). The Chi-square test was employed to analyze categorical data between groups. Multivariate logistic regression analysis was used to identify independent variables with good knowledge of ODS. The results were presented in odds ratios and 95% confidence intervals (CI). P-values less than 0.05 were regarded as statistically significant.</p>
            </sec>
        </sec>
        <sec id="sec8" sec-type="results">
            <title>Results</title>
            <p>There were 415 eligible pregnant women at the end of the enrolment. Of all these participants, 275 (66.27%) had good knowledge of ODS, 101 (24.34%) had fair knowledge, and 39 (9.40%) had poor knowledge. The most recognized ODS was vaginal bleeding, which accounted for 92.29% of the reported ODS during pregnancy and 80.96% of the reported ODS during labor and delivery. The least recognized ODS during pregnancy was convulsion (68.19%), while the least recognized ODS during labor and delivery was retained placenta (63.61%). The detailed results of the knowledge of ODS among antenatal women are shown in 
                <xref ref-type="table" rid="T1">Table 1</xref>.</p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>Table 1. </label>
                <caption>
                    <title>The knowledge of ODS among antenatal women.</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">Number (N=415)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Percentage</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Knowledge of ODS</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Good (&#x2265;75%, &#x2265;12 points)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">275</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">66.27</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Fair (50&#x2013;74%, 6&#x2013;11 points)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">101</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">24.34</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Poor (0&#x2013;49%, 0&#x2013;5 points)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">39</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">9.40</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">ODS</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">During pregnancy</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">1. Vaginal bleeding</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">383</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">92.29</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">2. Decreased fetal movement</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">377</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">90.84</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">3. Uterine contraction</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">354</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">85.30</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">4. Severe nausea and vomiting</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">344</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">82.89</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">5. Epigastric pain</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">284</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">68.43</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">6. Severe abdominal pain</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">345</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">83.13</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">7. Severe headache</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">299</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">72.05</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">8. Shortness of breath</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">335</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">80.72</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">9. Fluid flowing from the vagina</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">344</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">82.89</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">10. Swelling body</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">305</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">73.49</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">11. Blurred vision</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">285</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">68.67</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">12. Convulsion</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">283</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">68.19</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">During labor and delivery</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">1. Vaginal bleeding</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">336</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">80.96</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">2. Prolonged labor</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">302</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">72.77</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">3. Convulsion</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">279</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">67.23</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">4. Retained placenta</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">264</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">63.61</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn-group content-type="footnotes">
                        <fn id="tfn1">
                            <p>ODS refers to obstetric danger signs.</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
            <p>We classified those who knew at least 12 items out of 16 items (75%) as having a good level of ODS knowledge, 6&#x2013;11 items (50&#x2013;74%), and 0&#x2013;5 items (0&#x2013;49%) as having a fair level and a poor level of ODS knowledge, respectively. Using the Chi-square test, the identified factors that were significantly between the good and the fair/poor knowledge groups included participants&#x2019; age, education, occupation, marital status, gravida, and source of the ODS knowledge. After using the multivariate regression analysis to identify which of these characteristics were statistically significant predictors of good ODS knowledge, we found that participants&#x2019; age, education, and source of the ODS knowledge were predictors of good ODS knowledge, whereas participants&#x2019; occupation, marital status, and gravida were not statistically significant predictors of good ODS knowledge. The detailed results of the demographic characteristics of participants and their association with the level of ODS knowledge are shown in 
                <xref ref-type="table" rid="T2">Table 2</xref>.</p>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>Table 2. </label>
                <caption>
                    <title>Demographic characteristics of participants and association with the level of ODS knowledge.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="top">Characteristic</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Number (N=415)</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">Level of knowledge</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">
                                <italic toggle="yes">Chi p</italic>-value</th>
                            <th align="left" colspan="3" rowspan="1" valign="top">Multivariate regression</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Good</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Fair/Poor</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">AOR</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">95% CI</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
                                <italic toggle="yes">p</italic>-value</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Age (year)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Below 20</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">36 (8.67)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">13 (3.13)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">23 (5.54)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.000</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Ref</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Ref</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">20-35</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">319 (76.87)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">218 (52.53)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">101 (24.34)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">3.064</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.431-6.562</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.004</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Above 35</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">60 (14.46)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">44 (10.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">161 (38.8)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.729</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.040-7.159</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.041</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Participant's education</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.044</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">High school or lower</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">339 (81.69)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">217 (52.29)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">122 (29.40)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.000</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Ref</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Ref</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Bachelor's degree or higher</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">76 (18.31)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">58 (13.98)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">18 (4.34)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.586</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.353-4.942</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.004</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Participant's occupation</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.009</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Employed</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">146 (35.18)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">101 (24.34)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">45 (10.84)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.000</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Ref</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Ref</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Farming and agriculture</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">70 (16.87)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">42 (10.12)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">28 (6.75)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.854</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.450-1.621</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.630</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Trade and commerce</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">125 (30.12)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">93 (22.41)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">32 (7.71)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.379</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.787-2.414</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.261</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Unemployed/Student</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">74 (17.83)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">39 (9.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">35 (8.43)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.660</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.353-1.235</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.194</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Monthly income (THB)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.590</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Below 10,000</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">159 (38.31)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">104 (25.06)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">55 (13.25)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">10,001-20,000</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">170 (40.96)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">109 (26.27)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">61 (14.7)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">20,001-30,000</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">65 (15.66)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">46 (11.08)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">19 (4.58)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Above 30,000</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">21 (5.06)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">16 (3.86)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5 (1.2)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Marital status</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.023</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Separated/divorced</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">55 (13.25)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">29 (6.99)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">26 (6.27)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.000</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Ref</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Ref</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Married</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">360 (86.75)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">246 (59.28)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">114 (27.47)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.798</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.964-3.352</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.065</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Gravida</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.006</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Primigravida</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">166 (40)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">97 (23.37)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">69 (16.63)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.000</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Ref</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Ref</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Multigravida</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">249 (60)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">178 (42.89)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">71 (17.11)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.525</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.959-2.425</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.075</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Current gestational age</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.606</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Below 20 weeks</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">326 (78.55)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">213 (51.33)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">113 (27.23)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">21 weeks or above</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">88 (21.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">61 (14.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">27 (6.51)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Gestational age at first ANC visit</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.205</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Below 12 weeks</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">234 (56.39)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">149 (35.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">85 (20.48)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">12 weeks or above</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">181 (43.61)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">126 (30.36)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">553 (133.25)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Number of ANC visits</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.290</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;4</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">237 (57.11)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">152 (36.63)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">85 (20.48)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2265;4</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">178 (42.89)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">123 (29.64)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">55 (13.25)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Source of ODS knowledge</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.007</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Medical personnel</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">289 (69.64)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">205 (49.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">84 (20.24)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.549</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.455-4.466</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.001</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Family members</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">40 (9.64)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">24 (5.78)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">16 (3.86)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.778</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.773-4.090</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.176</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Friends/Media/Other</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">86 (20.72)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">46 (11.08)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">40 (9.64)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.000</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Ref</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Ref</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Source of help when encountering ODS</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.297</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Medical personnel</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">340 (81.93)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">231 (55.66)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">109 (26.27)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Family members</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">57 (13.73)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">33 (7.95)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">24 (5.78)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Friends/Other</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">18 (4.34)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">11 (2.65)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">7 (1.69)</td>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">NA</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn-group content-type="footnotes">
                        <fn id="tfn2">
                            <p>ODS, obstetric danger signs; AOR, adjusted odd ratio; CI, confident interval; THB, Thai Baht; ANC, Antenatal care; Ref, Reference; NA, not analyzed with logistic regression since the 
                                <italic toggle="yes">Chi-square p</italic>-value of the variables was greater than 0.05.</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
        </sec>
        <sec id="sec9" sec-type="discussion">
            <title>Discussion</title>
            <p>In a community hospital-based antenatal care service in a Northeastern province of Thailand, we found that about two-thirds of the pregnant women had good knowledge regarding ODS. We also found that the factors associated with good ODS knowledge included age, education level, and source of the ODS knowledge that the pregnant women acquired.</p>
            <p>The prevalence of good ODS knowledge in our study is higher than in previous studies. One study in a Thai university hospital in an urban area reported a prevalence of 59.8%
                <sup>
                    <xref ref-type="bibr" rid="ref33">33</xref>
                </sup> and another study in a teaching and referral hospital in Malaysia reported a prevalence of 48.3%.
                <sup>
                    <xref ref-type="bibr" rid="ref31">31</xref>
                </sup> The finding that the prevalence of good ODS knowledge in Thai pregnant women was slightly higher than that of the Malaysian study might be due to the different score cut-off levels of good knowledge of ODS, that is, 80% (16 out of 20 items) in the Malaysian study whereas 75% (12 out of 16 items) in our study and the other Thai study. Several studies reported the knowledge of ODS among pregnant women in many countries, including India,
                <sup>
                    <xref ref-type="bibr" rid="ref34">34</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref35">35</xref>
                </sup> Nepal,
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup> Malaysia,
                <sup>
                    <xref ref-type="bibr" rid="ref31">31</xref>
                </sup> Ethiopia,
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> Nigeria,
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> Tanzania,
                <sup>
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup> Egypt,
                <sup>
                    <xref ref-type="bibr" rid="ref29">29</xref>
                </sup> Jordan,
                <sup>
                    <xref ref-type="bibr" rid="ref30">30</xref>
                </sup> Congo,
                <sup>
                    <xref ref-type="bibr" rid="ref36">36</xref>
                </sup> and Uganda.
                <sup>
                    <xref ref-type="bibr" rid="ref37">37</xref>
                </sup> The prevalence of mothers with good knowledge of ODS differed among studies could be because of the difference in participants&#x2019; demographic characteristics and the definition of good knowledge of ODS in each study. Overall, the prevalence of mothers with good knowledge of ODS was the lowest in Africa,
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> especially in the remote area where most participants received lower education.</p>
            <p>For the knowledge of each ODS among the study population, we found that vaginal bleeding is the most mentioned ODS during pregnancy and during labor/delivery among participants. Less than 70% of the participants reported epigastric pain, blurred vision, and convulsion during pregnancy as an ODS. A similar proportion mentioned convulsion and retained placenta during labor/delivery as ODS. These findings were congruent with the previous study in Thailand.
                <sup>
                    <xref ref-type="bibr" rid="ref33">33</xref>
                </sup> Since vaginal bleeding is a visible, genital organ&#x2013;related sign, it is easily recognized as an ODS among pregnant women. In contrast, since epigastric pain, blurred vision, and convulsion are symptoms of other organ systems, it was more complicated to educate pregnant women that these symptoms must also be perceived as ODS.</p>
            <p>For the study&#x2019;s secondary objective, the predictive factors of good knowledge of ODS, we found that higher maternal education of at least a Bachelor&#x2019;s degree, compared to high school or lower education, is one of the significant predictors. This finding is similar to the study from the Thai university hospital.
                <sup>
                    <xref ref-type="bibr" rid="ref33">33</xref>
                </sup> Studies in other Asian countries, including Malaysia
                <sup>
                    <xref ref-type="bibr" rid="ref31">31</xref>
                </sup> and Jordan,
                <sup>
                    <xref ref-type="bibr" rid="ref30">30</xref>
                </sup> also found that higher maternal education was a significant predictive factor of good knowledge of ODS. Several studies from the African region,
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref32">32</xref>
                </sup> especially Ethiopia,
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref38">38</xref>
                </sup> where women received lower education, emphasized the predictive value of women&#x2019;s education on the level of ODS knowledge. The level of education could be the source of the quality of ODS knowledge. Women with a lower education level could have more difficulty in understanding healthcare information about the importance of ODS given by others. The lower level of education might reflect lower opportunities for women since they might share poor attitudes and misinformation with peers at the same level of education. A study in Africa reported that ODS was perceived as a natural process of pregnancy or related to witchcraft.
                <sup>
                    <xref ref-type="bibr" rid="ref39">39</xref>
                </sup> This attitude was a significant barrier, preventing the women facing ODS from seeking proper help.</p>
            <p>Maternal age was another predictive factor of the better knowledge of ODS in our study. Age was a good predictive factor in studies from Malaysia,
                <sup>
                    <xref ref-type="bibr" rid="ref31">31</xref>
                </sup> Ethiopia,
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref38">38</xref>
                </sup> Tanzania,
                <sup>
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup> Nigeria,
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> South Africa,
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> and Zambia.
                <sup>
                    <xref ref-type="bibr" rid="ref32">32</xref>
                </sup> Women with more advanced ages had better knowledge of ODS. This may be attributed to several hypotheses. Having better ODS knowledge is an essential indicator of pregnancy preparedness. Teenage pregnancy is more unprepared than pregnancy in adulthood.
                <sup>
                    <xref ref-type="bibr" rid="ref40">40</xref>
                </sup> Being an adult also means having more mature neurological development, awareness, and experience than being a teenager. Having more experience in older pregnant women leads to gaining both personal experience and information from the experience of other people during their pregnancies. This hypothesis could explain our finding that women with multigravida tended to have better ODS knowledge than those with primigravida. Also, higher gravidity was reported a significant predictor in some previous studies.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref36">36</xref>
                </sup>
            </p>
            <p>Our study also found that pregnant women who had medical personnel as a source of ODS knowledge tended to have better ODS knowledge than those who obtained information from women&#x2019;s friends or other media. Medical personnel are a good source of information for expecting mothers. A lower gestational age could partially reflect this at the first antenatal care (ANC) visit and the higher number of ANC visits since these women had more time spent in the clinic, and thus had more opportunities to obtain important information from medical personnel. Although our study cannot demonstrate that these two variables were predictors of better ODS knowledge, many other studies showed the association, e.g., studies in Thailand,
                <sup>
                    <xref ref-type="bibr" rid="ref33">33</xref>
                </sup> Congo,
                <sup>
                    <xref ref-type="bibr" rid="ref36">36</xref>
                </sup> Saudi Arabia,
                <sup>
                    <xref ref-type="bibr" rid="ref41">41</xref>
                </sup> and Ethiopia.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref38">38</xref>
                </sup>
            </p>
            <p>The strengths of our study include a large sample size and only one well-trained research assistant collecting the data to minimize the inter-observer variation. Furthermore, data collection setting and process were similar for all participants. They were considerably optimal since it took place in a private room during the waiting time in the antenatal care clinic. In addition, our study design was similar to other studies in the same region, allowing data comparison between countries with similar contexts.</p>
            <p>Nevertheless, our study has some limitations. The study was cross-sectional, so we cannot establish a causal relationship between variables. We did not evaluate some variables, i.e., the number of family members and the region of residence, reported as significant predictors in previous studies.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref29">29</xref>
                </sup> Some variables might also affect the knowledge, such as the interval between pregnancy, birth preparedness, accessibility to healthcare services, and medical expense subsidies. Further study focusing on the relationship between a pregnant woman&#x2019;s knowledge and her intimate partner&#x2019;s knowledge should be conducted.</p>
        </sec>
        <sec id="sec10" sec-type="conclusion">
            <title>Conclusion</title>
            <p>Our study demonstrates the fair prevalence of mothers with good knowledge of ODS in Thailand&#x2019;s rural areas. We found that participants&#x2019; age of at least 20 years, higher education, and reporting medical personnel as the source of ODS knowledge were predictors of good ODS knowledge. Identifying those at risk for fair and poor ODS knowledge and prompt management for the vulnerable subgroups might help decrease maternal mortality in this region. Further research and educational programs are needed to raise the knowledge of ODS, aiming to reduce maternal mortality.</p>
        </sec>
    </body>
    <back>
        <sec id="sec13" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec14">
                <title>Underlying data</title>
                <p>Harvard Dataverse: Knowledge of obstetric danger signs and associated factors among pregnant women attending antenatal care services at Thai community hospital datasetEN version, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.7910/DVN/OEFYS6">https://doi.org/10.7910/DVN/OEFYS6</ext-link>.
                    <sup>

                        <xref ref-type="bibr" rid="ref42">42</xref>
</sup>
                </p>
                <p>This project contains the following underlying data:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Knowledge of obstetric danger signs and associated factors among pregnant women attending antenatal care services at Thai community hospital datasetEN version.tab
</p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">Creative Commons Zero &#x201c;No rights reserved&#x201d; data waiver</ext-link> (CC0 1.0 Public domain dedication).</p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgments</title>
            <p>We gratefully acknowledge all participants and the support from their relatives participating in this study. We also want to thank all involved medical and administrative staff at Wang Saphung Hospital for their generous assistance.</p>
        </ack>
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    </back>
    <sub-article article-type="reviewer-report" id="report218766">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.157811.r218766</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Mattawanon</surname>
                        <given-names>Natnita</given-names>
                    </name>
                    <xref ref-type="aff" rid="r218766a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-8942-0399</uri>
                </contrib>
                <aff id="r218766a1">
                    <label>1</label>Department of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Chiang Mai, Thailand</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>13</day>
                <month>11</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Mattawanon N</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="relatedArticleReport218766" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.131267.2"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>I do not have any further questions.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</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>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>Clinical OB&amp;GYN</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.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report218765">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.157811.r218765</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Kabakyenga</surname>
                        <given-names>Jerome</given-names>
                    </name>
                    <xref ref-type="aff" rid="r218765a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-1912-1032</uri>
                </contrib>
                <aff id="r218765a1">
                    <label>1</label>Maternal Newborn and Child Health Institute, Mbarara University of Science and Technology, Mbarara, Western Region, Uganda</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>1</day>
                <month>11</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Kabakyenga J</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="relatedArticleReport218765" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.131267.2"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The authors have attended to the issues I raised earlier.</p>
            <p> I confirm my approval.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</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>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>Reproductive Maternal Newborn Child Adolescent Health</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.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report188939">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.144090.r188939</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Mattawanon</surname>
                        <given-names>Natnita</given-names>
                    </name>
                    <xref ref-type="aff" rid="r188939a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-8942-0399</uri>
                </contrib>
                <aff id="r188939a1">
                    <label>1</label>Department of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Chiang Mai, Thailand</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>17</day>
                <month>10</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Mattawanon N</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="relatedArticleReport188939" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.131267.1"/>
            <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>This study presented data concerning the extent of awareness among pregnant individuals in a rural area of Thailand regarding indicators of potential pregnancy-associated risks, and whether they possess acquaintance with this particular information.&#x00a0;</p>
            <p> The investigators employed both questionnaire surveys and interview methodologies to acquire the dataset.&#x00a0;</p>
            <p> </p>
            <p> The result revealed that approximately 10% of the participants exhibited a deficient knowledge of Obstetric Danger Signs (ODS), while an additional 25% attained a moderate level of understanding. Subpopulations characterized by an age below 20 years, limited educational attainment, and reliance on familial or peer networks as their primary information sources demonstrated significantly diminished levels of knowledge. Furthermore, this investigation highlighted the frequent oversight of critical indicators of preeclampsia, such as visual disturbances, epigastric discomfort, and convulsions, by the participants. This underscores the scope for healthcare professionals and governmental bodies to implement precise interventions to improve this situation.&#x00a0;</p>
            <p> </p>
            <p> From my perspective, this paper offers enhanced insights into the landscape of pregnancy care within rural regions of developing countries. Moreover, it highlights a targeted area for potential development.&#x00a0;</p>
            <p> </p>
            <p> There is, however, one aspect requiring further explanation within the Methodology section.&#x00a0;</p>
            <p> </p>
            <p> 1. what is the rationale behind establishing the threshold for "good knowledge" at 75%?&#x00a0;</p>
            <p> </p>
            <p> The derivation of this specific percentage warrants further clarification.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</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>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>Clinical OB&amp;GYN</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 article-type="response" id="comment10420-188939">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Bumphenkiatikul</surname>
                            <given-names>Thanapob</given-names>
                        </name>
                        <aff>Chulalongkorn University, Thailand</aff>
                    </contrib>
                </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>19</day>
                    <month>10</month>
                    <year>2023</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Dear Reviewer,</p>
                <p> </p>
                <p> We sincerely appreciate your insightful review of our study and the positive feedback provided. Your thorough assessment has contributed to enhancing the quality of our work.</p>
                <p> </p>
                <p> In response to your query regarding the rationale behind establishing the threshold for "good knowledge" at 75%, we would like to clarify that this particular percentage was derived from a prior study conducted in Thailand. By using this common threshold, we aimed to facilitate a meaningful comparison between our study and the referenced study, enabling a more comprehensive assessment of the health status in the country. This decision was made to ensure that our findings are consistent with existing research and can be applied in a broader context.</p>
                <p> </p>
                <p> We hope that this explanation provides the needed clarification on this aspect of our methodology. Thank you once again for your thoughtful review and constructive comments.</p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report194222">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.144090.r194222</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Kabakyenga</surname>
                        <given-names>Jerome</given-names>
                    </name>
                    <xref ref-type="aff" rid="r194222a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-1912-1032</uri>
                </contrib>
                <aff id="r194222a1">
                    <label>1</label>Maternal Newborn and Child Health Institute, Mbarara University of Science and Technology, Mbarara, Western Region, Uganda</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>17</day>
                <month>10</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Kabakyenga J</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="relatedArticleReport194222" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.131267.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Title: Knowledge of obstetric danger signs and associated factors among pregnant women attending antenatal care services at Thai community hospital. The aim of the study was to identify (determine) the prevalence of good ODS knowledge and associated factors among pregnant women attending antenatal services at a Thai community hospital.</p>
            <p> </p>
            <p> Abstract:</p>
            <p> </p>
            <p> Well structured and is a summary of the body of the manuscript.</p>
            <p> </p>
            <p> Key words are missing - obstetric danger signs</p>
            <p> </p>
            <p> Introduction:</p>
            <p> </p>
            <p> paragraph -2 the statement.."differs among countries, ranging from 23.8 deaths per&#x00a0; 100,000 live births in the US to 442 deaths per 100,000 births in Africa". The authors chose to give a MMR lowest starting with USA - why not start with the country (ies) with the lowest MMR (&lt;5/100,000) e.g. from a publication "Trends in maternal mortality 2000 to 2020: estimates by WHO, UNICEF, UNFPA, World Bank Group and UNDESA/Population Division".</p>
            <p> </p>
            <p> Paragraph 4 - there are several statements in this paragraph that need to be supported with references (sentences 2,3,4,5).</p>
            <p> </p>
            <p> Results:</p>
            <p> </p>
            <p> It would be more informative if Table 1 is about the sociodemographic, obstetric data of participants.</p>
            <p> </p>
            <p> Discussion:</p>
            <p> </p>
            <p> Is based on results of the study.</p>
            <p> </p>
            <p> Conclusion:</p>
            <p> </p>
            <p> Is derived from the results and discussion of the study.</p>
            <p> </p>
            <p> General:</p>
            <p> </p>
            <p> There is need to improve on the grammatical layout of the manuscript.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</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>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>Reproductive Maternal Newborn Child Adolescent Health</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.</p>
        </body>
        <sub-article article-type="response" id="comment10421-194222">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Bumphenkiatikul</surname>
                            <given-names>Thanapob</given-names>
                        </name>
                        <aff>Chulalongkorn University, Thailand</aff>
                    </contrib>
                </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>19</day>
                    <month>10</month>
                    <year>2023</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Dear Reviewer,</p>
                <p> </p>
                <p> We want to express our gratitude for your constructive feedback on our article. Your insights have greatly contributed to the refinement of our work.</p>
                <p> </p>
                <p> Regarding the suggestion to change the reference for Maternal Mortality Ratio (MMR) statistics, we have taken your recommendation into account and have made the necessary modifications. The MMR lowest starting point has been updated to reflect the figures from the lowest MMR countries, Australia and New Zealand, as suggested by you. This alteration provides a more accurate and relevant reference point for our study.</p>
                <p> </p>
                <p> Furthermore, in response to your comment regarding the need for references to support certain statements in paragraph 4 of the introduction, we have incorporated these references to strengthen the credibility of our work.&#x00a0;</p>
                <p> </p>
                <p> Lastly, we have carefully reviewed the manuscript for grammatical errors, ensuring that the text is presented with precision and clarity.</p>
                <p> </p>
                <p> We genuinely appreciate your efforts in assisting us in making these necessary enhancements.&#x00a0;</p>
                <p> </p>
                <p> Sincerely,</p>
            </body>
        </sub-article>
    </sub-article>
</article>
