<?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="other" 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.142710.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Case Study</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Maternal and perinatal death surveillance and response in Bangladesh: A case study on measuring impact through health information systems</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Sayem</surname>
                        <given-names>Abu Sadat Mohammad</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</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/">Resources</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-7896-2248</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Kaasb&#x00f8;ll</surname>
                        <given-names>Jens Johan</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/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Halim</surname>
                        <given-names>Abul</given-names>
                    </name>
                    <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>Abdullah</surname>
                        <given-names>Dr. Abu Sayeed Md.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>University of Oslo, Oslo, Norway</aff>
                <aff id="a2">
                    <label>2</label>Centre for Injury Prevention and Research, Bangladesh (CIPRB), Dhaka, Bangladesh</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:drsayem007@yahoo.com">drsayem007@yahoo.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>10</day>
                <month>4</month>
                <year>2024</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2024</year>
            </pub-date>
            <volume>13</volume>
            <elocation-id>258</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>18</day>
                    <month>3</month>
                    <year>2024</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Sayem ASM et al.</copyright-statement>
                <copyright-year>2024</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/13-258/pdf"/>
            <abstract>
                <p>The health sector in Bangladesh is thriving, and the Maternal and Perinatal Death Surveillance and Response (MPDSR) program has been in place to investigate the causes of maternal and perinatal death. This study aimed to investigate the availability of information systems for measuring the status of an MPDSR program and the planning process and actions developed based on real-time information. This study delved into innovative information systems that can be used to monitor and measure the impact of health programs. The study included both the primary and secondary data. A total of six key informant interviews were conducted to explore the enablers and strengths of information systems. Secondary data were collected from government websites and MPDSR action plans. This study highlights the potential and challenges of governmental health information systems in notifying maternal and neonatal deaths. While the current notification rates are not up to national standards, it is encouraging to see health managers develop action plans and address this issue. The MPDSR information system is a valuable tool to help health managers measure changes in maternal and perinatal mortality rates and design locally targeted interventions. However, several obstacles must be addressed, such as insufficient data, lack of monitoring, and irregularities in MPDSR review meetings. By finding ways to overcome these challenges, we can unlock the full potential of MPDSR and improve maternal and neonatal health outcomes. The success of an MPDSR program relies on how the information is utilized to take action and measure the outcome. Advanced information systems, such as health dashboards, scorecards, and administrative data, can play a vital role in measuring the progress and impact of a program. The primary challenge lies in capturing all deaths, including their causes, and having the capacity to analyze the data effectively to develop action plans for health managers.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Health information systems</kwd>
                <kwd>dashboard</kwd>
                <kwd>Maternal and perinatal deaths</kwd>
                <kwd>impact measurement</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>CIPRB</funding-source>
                </award-group>
                <funding-statement>CIPRB will provide funding to publish this manuscript.</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>The health information system in Bangladesh has been transformed from a paper-based and disorganized system to a web-based system called District Health Information Software (DHIS2).
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> With over 16,000 health organizations adopting DHIS2 in 2013, Bangladesh has emerged as one of the largest DHIS2 deployers in the world.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> As a result, the health system&#x2019;s quality of care has been enhanced by adopting tools such as Maternal and Perinatal Death Surveillance and Response (MPDSR), which the WHO and UNICEF recommend. The program notifies the death of the mother and newborn, followed by a death review to identify causes and develop a response to prevent future deaths.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
            </p>
            <p>The program was piloted in one district in 2007 and was gradually scaled to all 64 districts. It is within the existing health system to identify and examine the causes of maternal and neonatal deaths and stillbirths, both within the community and at the facility.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> The data for the MPDSR were initially collected in papers&#x2014;a group of professionals reviewed the document to identify the cause of death and associated factors. The recommendations were then sent back to the health managers. This process usually takes more than six months to determine the cause of death and to act accordingly.</p>
            <p>Globally, there was a 44% reduction in maternal deaths, from 532,000 in 1990 to 303,000 in 2015.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> In Bangladesh, the Maternal Mortality Ratio (MMR) declined between 2001 and 2010, but has now plateaued compared to 2016. Although progress has been impressive in the past, it is necessary to achieve Sustainable Development Goals in ending preventable maternal deaths through a renewed focus on accountability and actions.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
            </p>
            <p>One of the essential pillars of the WHO&#x2019;s six building blocks is the health management information system, which is crucial for the evaluation and performance measurements of any health program. Health management information systems form the foundation of data-driven decision-making at both the national and subnational levels.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> While designing a health information platform, it is crucial to understand that the need for the quantity and comprehensiveness of data at the district [or equivalent] and lower levels is generally more significant than that at the national level.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> One of the challenges of health management in developing countries is the existence of weak accountability and feedback practices.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> At the national level, data is necessary for a broader scope of policymaking. At the district and sub-district levels, local data are of immense value in allocating resources, capacity-building health workers to improve existing service delivery and quality and introducing new services.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> With data available as evidence, local health managers can formulate and justify short- and long-term planning, with the involvement of community people and stakeholders.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup>
            </p>
            <p>The DHIS2 system has presented Kenya with unprecedented potential to move from the era of an unreliable and fragmented HIS system to an ideal situation of availability and use of quality health information for rational decision-making.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> Sri Lanka has a DHIS2 platform linked to CRVS data. This ensures that no deaths go unreported, which has compelled healthcare managers to take actions that have effectively reduced maternal deaths.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> The Commission on Information and Accountability (CoIA) in 2011 and the recent Global Strategy for Women&#x2019;s, Children&#x2019;s, and Adolescents&#x2019; Health (2016&#x2013;2030) recommend accountability as a core principle driving progress in health outcomes.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
            </p>
            <p>The National Core Management Information Systems (MIS) committee, chaired by the directorates, meets monthly to obtain feedback on technical issues and monitor data from all the districts.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> The platform has helped reduce the administrative burden on the health system, reducing silos, and streamlining processes within a national data warehouse. Within the MPDSR program, a community healthcare provider enters data related to the death of a mother or newborn at the grassroots level into the DHIS2. By contrast, healthcare managers at national and subnational levels can learn about an event in real time from the same platform.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> The final causes of death are determined at the divisional level by Gynecologists, Obstetricians, and Neonatologists based on death review forms, and that information is also entered into the DHIS2.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup>
            </p>
            <p>This study thoroughly analyzed the current information systems utilized in the MPDSR program. The qualitative interviews revealed significant gaps and barriers impeding evidence-based planning and action.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <p>The ethical clearance for the study was obtained from the Ethical Review Committee of Centre for Injury Prevention and Research, Bangladesh (ERC review number: CIPRB/ERC/2020/08, Date of approval: 27 February 2020). A consent form was developed and used for each interview. Written informed consent was obtained from the respondents before starting the interviews. The consent form clearly stated that their participation is voluntary and can be stopped at any time for any reason and that they can answer some questions and skip others if they wish. The research was guided by ethical considerations, including child safeguarding, sensitivity, openness, confidentiality, data protection, reliability, and independence.</p>
            <p>The study used mixed methodology to understand the given research problem. The mixed method has emerged as a major methodological approach across social science, and many view this as a third approach alongside qualitative and quantitative research.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> Both primary and secondary data were collected and analyzed in this study. We selected 27 districts in which MPDSR 
                <italic toggle="yes">implementation matured in</italic> 2019. We collected data on reproductive maternal, neonatal, child, and adolescent health (RMNCAH) from 27 districts in 2019 and 2021 
                <italic toggle="yes">(January&#x2013;December</italic>). The selected districts were mainly low-performing and high-priority, based on key performance indicators. Data were collected from the 
                <ext-link ext-link-type="uri" xlink:href="https://dashboard.dghs.gov.bd/pages/dashboard_rmnch.php">Government of Bangladesh website</ext-link> (
                <ext-link ext-link-type="uri" xlink:href="https://dashboard.dghs.gov.bd/pages/dashboard_rmnch.php">DGHS dashboard</ext-link>). Health managers&#x2019; approved MPDSR action plans were collected from seven districts (2019-20 plans). The quantitative data collected were based on maternal and perinatal deaths notified and reviewed 
                <italic toggle="yes">using th</italic>e DHIS2. We conducted six key informant interviews at the national level with the National MPDSR core committee members. The participants were chosen based on their relevance to the program for an extended time.</p>
            <sec id="sec3">
                <title>Primary data collection</title>
                <p>Key Informant Interviews (KII) were conducted in 2021 using a standardized guideline as part of the primary data collection to complement the findings of the document review.
                    <sup>
                        <xref ref-type="bibr" rid="ref25">25</xref>
                    </sup> The KII guidelines were provided by the author. It was pilot-tested before the interview. Two trained anthropologists collected the primary data through face-to-face interviews with key respondents. The interviewers were MBBS with MPH backgrounds. They were experts in taking KIIs of health and family planning managers at the national and district levels. First, a communication letter was circulated from the Line Director, MNC&amp;AH, DGHS, to conduct these KIIs with respondents. Then, the interviewers communicated with the respondents over the phone and booked their time for the interviews. A guideline for KII and a consent form in Bangla was developed by the research team for this data collection. The respondents who were highly engaged with the MPDSR program in Bangladesh were selected purposively. A permission letter was collected from the government for data collection. The data collectors communicated with the selected key informants over the cell phone and booked their time for an interview. Then, they visited the respondents&#x2019; work and conducted the interview. Before starting the interview, consent was received for the interview and audio recording. The duration of each interview (KII) was 30-45 minutes. Audio records were included in each interview. The transcription was developed from audio recordings, and the translation was conducted from Bangla to English. A thematic analysis was then conducted using qualitative methods. KIIs were performed to understand critical stakeholders&#x2019; beliefs about MPDSR data use and how the implementation of MPDSR could be improved by identifying barriers. The respondents (
                    <xref ref-type="table" rid="T1">Table 1</xref>) were specifically asked about the gaps in the MPDSR implementation and process and their recommendations for improving the process for a higher impact.</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>Table 1. </label>
                    <caption>
                        <title>List of key organizations involved in the MPDSR committee for primary data collection.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">SL.</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Department and organization</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Maternal, New-born, Child, and Adolescent Health Program
                                    <break/>Directorate General of Health (DGHS), Ministry of Health and Family Welfare (MOH&amp;FW), Bangladesh</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Maternal and Child Health- Services &amp; Maternal &amp; Child, Reproductive and Adolescent Health Program, Directorate General of Family Planning (DGFP) Ministry of Health and Family Welfare, Bangladesh</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Quality Improvement Secretariat (QIS), Health Economic Unit (HEU), MOHFW, Bangladesh</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Maternal Health Program, Directorate General of Health (DGHS), Ministry of Health and Family Welfare (MOH&amp;FW), Bangladesh</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Emergency Obstetric Care, Directorate General of Health (DGHS), Ministry of Health and Family Welfare (MOH&amp;FW), Bangladesh</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">United Nations Population Fund (UNFPA), Bangladesh</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>This study also collected district MPDSR action plans developed by health managers through workshops and funded for implementation. The plans were implemented in the Sylhet, Maulvibazar, Bandarban, Cox&#x2019;sbazar, Jamalpur, Netrokona, and Gazipur districts.</p>
            </sec>
            <sec id="sec4">
                <title>Secondary data collection</title>
                <p>Secondary data were collected from public governmental health websites. There was a specific dashboard on the MPDSR program within the health dashboard. The MPDSR dashboard produced tables, pie charts, and trends. To provide a quick overview of the performance at the district level, a color-coded tool/table can be generated, with green indicating on-track, yellow indicating progress, and red indicating not on-track. Consent and permission were obtained from the Ethical Review Committee and the Government to access all data used in this study; thus, ethical clearance was ensured. Reviewing the Reproductive, Maternal, Neonatal and Child Health (
                    <ext-link ext-link-type="uri" xlink:href="https://dashboard.dghs.gov.bd/pages/dashboard_rmnch.php">RMNCH) scorecard</ext-link> was another method applied in this study to observe progress in the health indicators in the MPDSR data. The baseline was 2019 and compared with 2021. The RMNCH scorecard data was collected from 27 districts from the government website (
                    <xref ref-type="fig" rid="f1">Figure 1</xref>). The data from the website was extracted in 2022.</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>27 districts for secondary data (dark shaded).</title>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/156288/8dbdc8c3-30ee-45df-8e91-1d67868eb09a_figure1.gif"/>
                </fig>
                <p>The causes of death data were also entered into DHIS2 after an expert&#x2019;s review at the district level. The districts organize a one-day-long workshop with all their sub-district health managers to develop a plan based on the available data in DHIS2. Frequency analysis was used for MPDSR key actions in the seven districts and presented in a tabulated form. Quantitative data on death notifications were also analyzed in a 
                    <ext-link ext-link-type="uri" xlink:href="https://www.microsoft.com/en-us/microsoft-365/excel">Microsoft Excel</ext-link> (Version 2308) spreadsheet, shown in the 
                    <xref ref-type="fig" rid="f2">Figures 2</xref>,
                    <xref ref-type="fig" rid="f3">3</xref> and 
                    <xref ref-type="fig" rid="f4">4</xref>.</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>Figure 2. </label>
                    <caption>
                        <title>Gaps in capturing maternal death and review.</title>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/156288/8dbdc8c3-30ee-45df-8e91-1d67868eb09a_figure2.gif"/>
                </fig>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>Figure 3. </label>
                    <caption>
                        <title>Gaps in capturing neonatal death and review.</title>
                    </caption>
                    <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/156288/8dbdc8c3-30ee-45df-8e91-1d67868eb09a_figure3.gif"/>
                </fig>
                <fig fig-type="figure" id="f4" orientation="portrait" position="float">
                    <label>Figure 4. </label>
                    <caption>
                        <title>Percentage of maternal and neonatal death notifications by country and intervention districts 2019 (Source: MPDSR dashboard).</title>
                    </caption>
                    <graphic id="gr4" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/156288/8dbdc8c3-30ee-45df-8e91-1d67868eb09a_figure4.gif"/>
                </fig>
            </sec>
        </sec>
        <sec id="sec5" sec-type="results">
            <title>Results</title>
            <sec id="sec6">
                <title>Performance review through routine health information system</title>
                <p>It is worth noting that Bangladesh is one of the few countries that uses real-time MPDSR data through a dashboard, which the MOH creates for monthly monitoring. The study team examined data to measure performance in 27 districts and identify gaps in information systems. This dashboard is used for various meetings, including MPDSR committee meetings, monthly health coordination meetings, MPDSR action plan workshops, video conferences, and national MPDSR core committee meetings. It is also important to mention that the WHO provides projection-based population data to estimate the number of children born to each administrative unit.</p>
                <p>In 2019, only 63% of the estimated 2056 maternal deaths were reported, and health workers reviewed only 32% of notified cases. According to the national MPDSR guidelines, the target for maternal death review was 100% of notified cases. This indicates the need for health workers to visit the deceased mother&#x2019;s home to increase notifications and review the cause of death. Facility maternal deaths are notified and reviewed, with much better performance compared to community MPDSR. 76% of the cases were reviewed at the facility (
                    <xref ref-type="fig" rid="f2">Figure 2</xref>).</p>
                <p>According to the national MPDSR guidelines, it is recommended that 10% of neonatal deaths be reviewed to determine the causes of death and to identify social barriers. However, the performance of neonatal death surveillance in capturing community data is lacking, with only 29% of cases being recorded. Additionally, health workers reviewed 46% of the cases, even though this was not required (
                    <xref ref-type="fig" rid="f3">Figure 3</xref>). However, the performance in reviewing facility deaths was satisfactory. Identifying the right target can help health workers reduce their workload by targeting appropriate number of cases.</p>
                <p>We attempted to examine how the performance of MPDSR could be evaluated using data from the dashboard. We observed that the death notification system is unique in all 64 districts and captures data from around 5000 unions (lowest administrative units) through health assistant reports. The data show that the system captures 45% of maternal and 26% of neonatal deaths nationally (
                    <xref ref-type="fig" rid="f4">Figure 4</xref>). This is to mention that private hospitals and urban health facilities are not fully reporting through DHIS2. In this case, the selected districts performed better than the national level in terms of death notification, which was common for all districts.</p>
            </sec>
            <sec id="sec7">
                <title>Qualitative information through routine data</title>
                <p>This study found that the current information system can capture important qualitative data to aid health managers in evidence-based planning. According to the three-delay model, maternal mortality is linked to delays in three areas: (1) deciding to seek care, (2) reaching the healthcare facility, and (3) receiving care. By analyzing the MPDSR dashboard, health managers could identify the major causes of maternal and neonatal deaths at different levels, which helps in planning. The maternal death review contains information about the cause of death and the three delays: decision-making, transport, and delays in receiving services. The MPDSR dashboard displays the percentage of different causes of maternal and neonatal deaths, which helps health managers prioritize their efforts. 
                    <xref ref-type="fig" rid="f5">Figure 5</xref> below shows that hemorrhage is the leading cause of maternal death, whereas birth asphyxia is the primary cause of neonatal death.</p>
                <fig fig-type="figure" id="f5" orientation="portrait" position="float">
                    <label>Figure 5. </label>
                    <caption>
                        <title>Major maternal and neonatal cause of death (Source MPDSR dashboard 2021).</title>
                    </caption>
                    <graphic id="gr5" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/156288/8dbdc8c3-30ee-45df-8e91-1d67868eb09a_figure5.gif"/>
                </fig>
            </sec>
            <sec id="sec8">
                <title>MPDSR action plans</title>
                <p>We collected detailed action plans from seven districts to determine whether the actions were linked to the information systems. Health managers developed MPDSR action plans annually through a 1-2 day-long workshop. All team members analyze the data and develop a 6-to 12-month plan for the district. The senior gynecologist and neonatologist led the technical expertise for interventions, and health managers develop key actions to reduce mortality. We observed that the key actions were being developed in different thematic groups by the cause of death for maternal and neonatal deaths. Some cross-sectoral health-system barriers have been identified. After reviewing the documents, we summarized the key actions to reduce maternal and neonatal deaths in the seven districts (
                    <xref ref-type="table" rid="T2">Table 2</xref>). During the workshops, health managers identified the major causes of maternal and neonatal deaths along with barriers. The experts recommend solutions to these problems and develop action plans that were costed for implementation. The actions in 
                    <xref ref-type="table" rid="T2">Table 2</xref> were linked to the causes of death from the dashboard. The persons responsible for implementing these action plans at the community level were health education officers, community healthcare providers, health inspectors, and local elite persons in the community. At the facility level and in the MPDRS committee, the Residential Medical Officer, Medical Officer, Civil Surgeon, Upazila Health and Family Planning Officer, and Upazila Family Planning Officer were responsible for implementing actions to reduce death. The quality of MPDSR action plans varied from district to district. Significant gaps in data completeness have been addressed in the action plan by authorities to improve data entry.</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>Table 2. </label>
                    <caption>
                        <title>List of interventions to prevent maternal and neonatal deaths identified in plans.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Key actions for reducing maternal deaths</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Key actions for reducing neonatal deaths</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ensure 24/7 availability of skilled service providers to handle complicated cases with proper logistic support at the facility level.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Provide proper counseling and health education about nutrition during ANC and PNC. Planning of birth Preparedness through ANC.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Provide emergency transport support to pregnant mothers to reach the facilities easily.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Labor room up gradation with life support equipment.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ensuring availability and quality of ANC and PNC services.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Strengthen the referral system and financial support to poor mothers.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Creating awareness among the community people by showing dangerous signs of pregnancy.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Strengthen the data entry and monitoring of death notification and review.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">The motivation of community people for institutional delivery and stay in hospital for more extended periods (at least 24 hours).</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ensure regular MPDSR meetings at district and sub-district levels.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ensuring regular MPDSR meetings at district and sub-district levels.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Increase awareness among the community through courtyard sessions.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Strengthen the monitoring of death notification and review.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Make 7.1% chlorhexidine and IFA supplements to mothers available in the field.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ensuring emergency and safe blood transfusion services to the mothers during delivery if needed.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Arrangement of emergency C-Section in the presence of an anesthetist.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Preparation of a complete list of pregnant women along with their contact numbers to track risk pregnancy.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ensure essential care for newborns.</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Providing proper training to the service providers on PPH management.</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Identification and registration of mothers who are at risk of malnutrition.</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec9">
                <title>Impact measurement and comparing performance trends</title>
                <p>This study analyzed maternal and neonatal indicators to evaluate the impact of information systems from 2019 to 2021 (
                    <xref ref-type="table" rid="T3">Table 3</xref>). Based on the scorecard system developed by MOH&amp;FW for key indicators, it was revealed that all seven districts in 2019 had inadequate coverage of specific services, including the registration of pregnant mothers, antenatal care (ANC) and postnatal care (PNC) services, and delivery by skilled birth attendants. This highlights the need to improve these areas to ensure better health care services. The RMNCAH dashboard generates a color-coded table that provides a quick overview of performance at the district level. Green indicates on track, yellow indicates progress, and red indicates not on track (
                    <xref ref-type="table" rid="T3">Table 3</xref>). The information system can track the progress of health indicators in a district for comparison and trend analysis among health workers. This information system can track the progress of health indicators in a district for comparison and trend analysis. Despite the COVID pandemic, the seven districts that developed MPDSR action plans could measure progress using many indicators. This is to remind you that the COVID pandemic has heavily impacted routine essential health services such as ANC, facility delivery, routine immunization services, and PNC. In 2021, many efforts have been made to restore the services to the baseline year (2019). The impact was impressive in most cases, except in a few districts, which require further investigation.</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>Table 3. </label>
                    <caption>
                        <title>Comparison between key indicators from 2019 and 2021 (Source: RMNCAH Scorecard- DGHS).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">District</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2019</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2021</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2019</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2021</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2019</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2021</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2019</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2021</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2019</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2021</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2019</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2021</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2019</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2021</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">% of registered pregnant women</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">% of registered pregnant women</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Antenatal care 1 Coverage</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Antenatal care 1 Coverage</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Antenatal care 4 Coverage</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Antenatal care 4 Coverage</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Delivery by Skilled birth attendant (SBA) (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Delivery by SBA (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Postnatal care 1 Coverage</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Postnatal care 1 Coverage</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Neonatal Mortality Rate</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Neonatal Mortality Rate</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Maternal Mortality Ratio (MMR)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Maternal Mortality Ratio (MMR)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Bandarban District</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">17.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">16.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">36.4</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">16.9</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">21.6</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">7.5</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">36.5</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">17.6</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">17.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">6.1</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">5.7</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FEE08B" valign="top">12.6</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">260.4</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">544.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Coxs Bazar District</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">12.8</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">15.5</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FEE08B" valign="top">69.9</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FEE08B" valign="top">71</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">34.1</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">41.3</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">63.6</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">80.6</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FEE08B" valign="top">40.6</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FEE08B" valign="top">48</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">3.5</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">1.1</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">89.5</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">86.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Jamalpur District</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">17.4</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">23.1</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FEE08B" valign="top">69.6</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FEE08B" valign="top">68.3</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">47.1</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">45.7</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">56.6</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">59.4</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FEE08B" valign="top">53.6</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FEE08B" valign="top">55.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">6.8</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">3.3</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">442.4</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">111</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Maulavi Bazar District</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">7.4</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">20.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">91.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">87.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">42.8</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FEE08B" valign="top">55.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">70.5</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">70.6</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FEE08B" valign="top">61.6</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">65.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">8.4</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">6.5</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FEE08B" valign="top">165.6</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FEE08B" valign="top">133.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Netrokona District</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">15</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">13.4</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">51.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">54.5</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">32.7</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">34.7</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">55.8</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">59.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">23.4</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FEE08B" valign="top">33.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">4.3</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">6.7</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">94</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">89</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sylhet District</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">8.8</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">9</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FEE08B" valign="top">74</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">80</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">37.8</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">44.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">75.4</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">76.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">65.7</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">70.1</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">1.4</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">82.7</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">54.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Gazipur District</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">36.1</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">44.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">54.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">47.5</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">30</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">40.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">99</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">69.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#D73027" valign="top">24.6</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FEE08B" valign="top">35.4</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">2.2</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">3.5</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">30.6</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#008000" valign="top">45</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Color codes: Green-On track, Yellow-Progress but more effect required, Red-Not on track.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>This study reviewed the scorecard of the MPDSR program and found that its key performance indicators were linked with maternal and neonatal mortality rates. The program&#x2019;s performance dashboard can visualize its impact based on surveys and routine data. Most indicators showed positive changes, except in the Bandarban and Gazipur districts, where mortality and service coverage decreased. Pregnancy registration, delivery antenatal 4th visits coverage, and postnatal care increased in Jamalpur and Maulvibazar, where the impact of reducing MMR was the highest. The data were subject to verification but could be discussed during the MPDSR meetings.</p>
            </sec>
            <sec id="sec10">
                <title>Key recommendations for MPDSR</title>
                <p>The interviews informed recommendations for improving MPDSR in developing countries.</p>
                <p>
                    <italic toggle="yes">Strengthening the health workforce through capacity building and incentives</italic>
                </p>
                <p>MPDSR involves capacity-building opportunities, such as training and logistics, as well as motivating healthcare workers. Training helps workers understand the importance of death reviews and enables them to use this information during planning. Engaging professional associations and providing incentives can motivate workers to ensure their success. One of the interviewees mentioned that 
                    <italic toggle="yes">&#x201c;There was remuneration for death review before, and now there is no incentive for death review and social autopsy in the field. The staff needs to be accountable for this work.&#x201d;</italic>
                </p>
                <p>
                    <italic toggle="yes">Linking MPDSR information systems with quality improvement programs</italic>
                </p>
                <p>MPDSR plays a crucial role in enhancing the quality of healthcare services. The results derived from the facility death review process should be connected with the quality improvement cycle at the national, subnational, and facility levels through QI/MPDSR committees. Every intervention at the facility level must be linked to the Plan Do Check and Act (PDCA) cycle, ensuring continuous improvement and monitoring through information systems.</p>
                <p>
                    <italic toggle="yes">Providing a sustainable and trouble-free information system</italic>
                </p>
                <p>It is essential to provide technical assistance to ensure accurate data entry at all levels, especially at the district and upazila levels. With proper guidance and support from an IT cell/department, technical issues related to data entry, data accuracy, and server issues may be minimized or resolved.</p>
                <p>
                    <italic toggle="yes">Better coordination between policymakers and field-level staff</italic>
                </p>
                <p>Coordination at all levels needs to be strengthened to ensure better implementation and participation of field-level health workers and their supervisors. During the national MPDSR core committee meetings, policymakers need more involvement to change the national strategy and address the findings from lower tiers, such as incentivizing success and appreciating champions at the national level. The managers mentioned that the MPDSR initiative aims to improve maternal and perinatal health outcomes by fostering a collaborative and comprehensive approach. To achieve this, the organogram must include UNICEF, WHO, CIPRB, and the ministry for death notification, data analysis, DHIS2 updates, coordination, and collaboration. By bringing together various stakeholders, the initiative can significantly impact reducing mortality rates and improving healthcare systems, aligning with global efforts to improve maternal and perinatal health outcomes. One of the managers said that:</p>
                <disp-quote>
                    <p>
                        <italic toggle="yes">&#x201c;The coordination needs to be improved within DGHS and DGFP. The staff members need to be rewarded for the work.&#x201d;</italic>
                    </p>
                </disp-quote>
                <p>
                    <italic toggle="yes">Revision of National MPDSR guideline</italic>
                </p>
                <p>Most key stakeholders believe that there is a need to revise the current MPDSR guidelines developed in 2014. The new guidelines should clarify certain functions and add improvements to the existing framework/process, as per the new WHO guidelines, including stillbirth.</p>
                <disp-quote>
                    <p>
                        <italic toggle="yes">&#x201c;There is an urgent need to revise the MPDSR guideline based on the lessons learned from the experiences of implementation. We are currently revising the MPDSR guidelines, including integration of stillbirth.&#x201d;</italic>
                    </p>
                </disp-quote>
                <p>
                    <italic toggle="yes">Promote standardized response processes.</italic>
                </p>
                <p>The actions taken during the MPDSR workshops were mostly similar and broad. Some solutions, such as HR and funds, are not manageable by local health managers. This includes the systematic follow-up and implementation of recommendations across system levels using a tracking system. The MPDSR committee can review the actions and define a set of common actions for all districts as a recommendation.</p>
                <p>
                    <italic toggle="yes">Legal enforcement of death reporting</italic>
                </p>
                <p>In many countries, death reporting is required by law, which makes it essential for healthcare providers to report all types of deaths, including maternal and neonatal deaths and stillbirths. This will further strengthen the information system for the MPDSR. One respondent stated that:</p>
                <disp-quote>
                    <p>
                        <italic toggle="yes">&#x201c;In Bangladesh, recently, with the support of UNFPA, progress has been made by the parliament to make death reporting a legal requirement. Soon, maternal and neonatal deaths and stillbirths will be more accurately reported, which will aid in the success of MPDSR scale-up and implementation.&#x201d;</italic>
                    </p>
                </disp-quote>
                <p>
                    <italic toggle="yes">Monthly district-level cause-analysis</italic>
                </p>
                <p>The stakeholders recommend the provision of monthly cause analysis workshops at the district level instead of conducting the workshop at a higher level. At the district level, gynae-and-pediatric consultants are present, so conducting cause analysis workshops monthly using the local information system is possible. This will improve the accuracy and speed of local action plan development.</p>
                <p>
                    <italic toggle="yes">MPDSR-monitoring cell</italic>
                </p>
                <p>Policymakers suggest the formation of a separate MPDSR-focused cell to concentrate on the successful implementation of the program, including partners supporting it in different districts. The capacity of MPDSR data analysis needs to be further strengthened by local health managers.</p>
            </sec>
        </sec>
        <sec id="sec11" sec-type="discussion">
            <title>Discussion</title>
            <p>Public health surveillance is the ongoing systematic collection, analysis, and interpretation of health data. This includes disseminating the resulting information to health managers who need it to develop actions. MDSR continuously links the health information system and quality improvement processes, both locally and nationally. It includes routine identification, notification, quantification, and determination of causes and modifiable causes of all maternal deaths as well as using this information to respond to actions that will prevent future deaths.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup>
            </p>
            <p>RMNCH scorecards and MPDSR dashboards were innovative tools for visualizing and converting data into information for use. The scorecard alerts program managers and decision-makers to be aware of areas that continuously record low performance and lack progress, as well as those needing more attention and action.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> The innovation here was the integration of scorecard and dashboard functionalities that help track progress and drive actions.</p>
            <p>The study found that information systems could identify gaps in measuring MPDSR performance, such as coverage of maternal death notifications, pregnancy registration systems, and effective interventions to improve awareness among pregnant mothers. Moreover, based on this information, health managers have developed interventions for their districts based on context. An information system can measure the effectiveness of an intervention and determine whether it has been successful. For example, in Bandarban, a hilly terrain, the interventions listed in the plan did not work out, and as per the scorecard, the MMR went up. The managers mentioned conducting video conferences to monitor progress regularly and to improve health managers&#x2019; accountability.</p>
            <p>The Southeast Asia region WHO report revealed that out of 10 countries, only three hold national-level meetings twice yearly on MPDSR committees.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> In Bangladesh, health managers recommend that the government and partners collaborate to implement the MPDSR and establish accountability and laws for death notification.</p>
            <p>In Ethiopia, the identification and detection of maternal and perinatal deaths are poor relative to the national target. However, the percentage of maternal death reviews is higher in Ethiopia than in Kenya and Guinea.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> In Guinea, it was found that healthcare providers underreport maternal death for fear of being accused and punished,
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> which was not the case in Bangladesh. It was also revealed that out of 23 study districts in the country, three did not have any maternal death review committee, and among the reported maternal deaths, only half were reviewed.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> Poor reporting and record-keeping results in poor documentation in Nigeria.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> Bangladesh&#x2019;s robust information systems have facilitated more significant progress than those of Kenya, Ethiopia, and Guinea.</p>
            <p>This study identified common actions to prevent maternal and perinatal deaths. Similar measures are also taken in other countries, which include proper training of health care providers for the management of complications,
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> motivating people for institutional delivery,
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> ensuring sufficiency of medicine at the facility, ensuring the availability of transport facilities,
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> making better coordination between referring and referral intuition, confirming the birth plan for every woman,
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> proper monitoring and evaluation, strengthening MPDSR implementation by regular meetings at the district level,
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> and ensuring adequate funding.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> Our study also resonates with similar findings from interviews at the national level and from health managers during the development of action. Information systems at the lower level enable health managers to discuss similar barriers and develop key actions.</p>
            <p>Action plans should be taken according to the cause of death, and it should be feasible to apply them according to the country&#x2019;s context.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> Our study revealed that the action plans taken in our study districts are heavily data driven. Although the number of deaths, HR, and facility readiness were not similar, most actions were similar between the districts. Moreover, there was no tracking of the actions, and no information on how the action was implemented to achieve the goal. This is one of the areas in which the country needs further attention to design more effective interventions to reduce deaths. This study found that an MPDSR dashboard could be a helpful solution for health managers to easily find data for the program&#x2019;s planning, monitoring, and evaluation. This must be integrated with motivational awards or incentives through events, such as the National Health Minister&#x2019;s Award of Emergency Obstetric Care Awards. There is a need for capacity building for health managers to strengthen monitoring through the MPDSR dashboard, which could help field health workers work more cohesively.</p>
            <p>The main challenges of MPDSR implementation are poor documentation, underreporting, and a lack of regular monitoring and feedback at the district level.
                <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="ref24">24</xref>
                </sup> The government portal in Bangladesh explicitly compares death reviews and notifications at both the facility and community levels thanks to the population information system in place. Although most studies have been conducted at the facility level, it is crucial to conduct more studies at the community level to identify obstacles to implementing this approach. Examining death reviews and notification processes in different contexts and levels is essential to achieve better outcomes. The government portal in Bangladesh explicitly compares death reviews and notifications at both facility and community levels. Although most studies have been conducted at the facility level, it is crucial to conduct more studies at the community level to identify obstacles to implementing this approach. Examining death reviews and notification processes in different contexts and levels is essential to achieve better outcomes.</p>
        </sec>
        <sec id="sec12" sec-type="conclusion">
            <title>Conclusion</title>
            <p>Bangladesh implemented innovative methods for visualizing MPDSR information systems. This allowed health managers to monitor, design action plans, and evaluate their impact in real time. Data quality plays a significant role in decision making at both the local and policy levels. Although routine data showed decreased maternal and neonatal mortality in most of the implemented districts, further evaluation is recommended through data triangulation and independent assessment. The existing information system enables the program to track the progress of every step of the MPDSR. However, monitoring and accountability by managers require strengthening. The availability of MPDSR information systems created a culture of evidence-based planning and monitoring through visualization platforms, such as the RMNCAH scorecard and MPDSR dashboard. Thus, health managers can now make evidence-based decisions. A strengthened routine information system has reduced dependency on survey data. However, there is a lack of tracking interventions after the development of action plans, making it difficult to measure the effectiveness of each intervention. Nevertheless, information systems can produce program impact results. Improving the data quality of MPDSR through proper monitoring is essential for success. Real-time data from MPDSR can identify low-performing districts. Strengthening accountability in the program could help Bangladesh achieve its SDG goals.</p>
        </sec>
    </body>
    <back>
        <sec id="sec15" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec16">
                <title>Underlying data</title>
                <p>The data on the website can be accessed from the government website using the following url:
                    <list list-type="bullet">
                        <list-item>
                            <label>-</label>
                            <p>MPDSR dashboard 
                                <ext-link ext-link-type="uri" xlink:href="https://dashboard.dghs.gov.bd/pages/dashboard_mpdsr_performance.php">https://dashboard.dghs.gov.bd/pages/dashboard_mpdsr_performance.php</ext-link>
                            </p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>RMNCAH scorecard 
                                <ext-link ext-link-type="uri" xlink:href="https://dashboard.dghs.gov.bd/pages/dashboard_rmnch.php">https://dashboard.dghs.gov.bd/pages/dashboard_rmnch.php</ext-link>
                            </p>
                        </list-item>
                    </list>
                </p>
                <p>All routine data pertaining to the government can be found on the website and is accessible from anywhere. There are various dashboards available for specific programs, but for the purposes of this research, two dashboards have been utilized: the MPDSR dashboard and the RMNCAH scorecard. The MPDSR dashboard is used by program managers to monitor the progress of implementation, while the RMNCAH scorecard is employed to track coverage indicators and measure progress over time.</p>
                <p>Figshare: MPDSR-Bangladesh data. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.24710166">https://doi.org/10.6084/m9.figshare.24710166</ext-link>.
                    <sup>

                        <xref ref-type="bibr" rid="ref25">25</xref>
</sup>
                </p>
                <p>The project contains the following underlying data:
                    <list list-type="bullet">
                        <list-item>
                            <label>-</label>
                            <p>Paper 2 MPDSR Raw data file final.xlsx</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>Interview transcript MPDSR redacted.pdf</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec17">
                <title>Extended data</title>
                <p>Figshare: MPDSR-Bangladesh data. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.24710166">https://doi.org/10.6084/m9.figshare.24710166</ext-link>.
                    <sup>

                        <xref ref-type="bibr" rid="ref25">25</xref>
</sup>
                </p>
                <p>The project contains the following extended data:
                    <list list-type="bullet">
                        <list-item>
                            <label>-</label>
                            <p>Guideline KII_National level_MPDSR IR.pdf (Interview guides)</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>MPDSR Figure 1.tiff</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>MPDSR Figure 2.tiff</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>MPDSR Figure 3.tiff</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>MPDSR Figure 4.tiff</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>MPDSR Figure 5.tiff</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>MPDSR Table 1.tiff</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>MPDSR Table 2.tiff</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>MPDSR Table 3.tiff</p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://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>
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    </back>
    <sub-article article-type="reviewer-report" id="report280803">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.156288.r280803</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Begum</surname>
                        <given-names>Tahmina</given-names>
                    </name>
                    <xref ref-type="aff" rid="r280803a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r280803a1">
                    <label>1</label>Poche Centre for Indigenous Health, The University of Queensland, Saint Lucia, Queensland, Australia</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>25</day>
                <month>6</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Begum T</copyright-statement>
                <copyright-year>2024</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="relatedArticleReport280803" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.142710.1"/>
            <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 is a very informative article and has all the merits of indexing. However, to make the study reproducible by other researchers, it requires more detail.</p>
            <p> I have added some points for consideration for the next round of revision.</p>
            <p> Data flow in the introduction should support the rationale of conducting this study in the context of MPDSR.; what has been done so far, what new things are we proposing, and is there any successful evidence from other LMICs using our proposed approach/ has the new approach been successful in other MNH health service delivery?</p>
            <p> 
                <bold>Methods:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Ethics would come next after describing the study design and setting.</p>
                    </list-item>
                    <list-item>
                        <p>This is not justified to explain mixed method as 3
                            <sup>rd</sup>, it is better to drop this line, at best author can say qual findings were used to explain the data gap&#x2026;&#x2026;&#x2026;.. observed in quantitative findings.</p>
                    </list-item>
                    <list-item>
                        <p>Be specific about what you mean by primary and secondary data. Publicly available data from the DGHS dashboard is your secondary data source here. Did the patients provide consent to use their data for research?&#x00a0; The research is focused on MPDSR, but the justification of analysis RMNCAH data is not clear from the methods section.</p>
                    </list-item>
                    <list-item>
                        <p>Though the author specifies the primary data source in 3
                            <sup>rd</sup> paragraph, different terminology &#x201c;Document review was used to explain the quantitative data source. What documents did the author review as part of the Quan data source has not been specified before.</p>
                    </list-item>
                    <list-item>
                        <p>Nothing was mentioned about the analysis plan for the qualitative data. How did they divide data under the theme, what themes were used, how did you code, a-priori/reflexive /inductive &#x2026;&#x2026; manual /software?</p>
                    </list-item>
                    <list-item>
                        <p>What is the RMCH scorecard, and what are the components? How did u analyze them?</p>
                    </list-item>
                    <list-item>
                        <p>Figure 1.27 The study site seems clustered on the south side of the map, which means the rest of the sites are well-performing. Did the author use convenient sampling, if so, how it is going to affect the generalizability of your findings?</p>
                    </list-item>
                </list> 
                <bold>Result: </bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>The result section is only to present findings, we can not add any argument or justification, For example, the below 2 lines do not fit in the result section. &#x201c;It is also important to mention that the WHO provides projection-based population data to estimate the number of children born to each administrative unit&#x201d;.</p>
                    </list-item>
                    <list-item>
                        <p>For all the figures Axis titles are not unique and check for spelling mistakes. Does not make sense to specify that Bangladesh and the intervention district are in the same graph with different bars.</p>
                    </list-item>
                    <list-item>
                        <p>Please explain how the estimated maternal and neonatal death numbers were calculated/projected in your method section.</p>
                    </list-item>
                </list> 
                <bold>Discussion: </bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>Please add an opening paragraph with key findings from your paper.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the case presented with sufficient detail to be useful for teaching or other practitioners?</p>
            <p>Partly</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Not applicable</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Is the background of the case&#x2019;s history and progression described in sufficient detail?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>To make this article reproducible by other researchers, a detailed description of the study methodology, data source, analysis plan needs to be well described</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="comment12728-280803">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Sayem</surname>
                            <given-names>Abu Sadat Mohammad</given-names>
                        </name>
                        <aff>Department of Informatics, University of Oslo, Oslo, Oslo, Norway</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>28</day>
                    <month>10</month>
                    <year>2024</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Dear Reviewer,</p>
                <p> Thanks for your comprehensive feedback on the article, and much appreciated. I have corrected those in my new version and added more facts to boost further understanding of the manuscript.</p>
                <p> </p>
                <p> I have added more information in the introduction based on your comments.</p>
                <p> </p>
                <p> Methods:</p>
                <p> The ethics section has been relocated to a more appropriate position within the document to enhance clarity and coherence. In addition, the methods section has been thoroughly revised to improve its overall readability, and we have incorporated additional details to address your inquiries regarding both primary and secondary data collection methods.</p>
                <p> </p>
                <p> I included qualitative analysis techniques, although I faced some constraints due to word limitations that prevented me from elaborating further on this aspect.</p>
                <p> </p>
                <p> In the results section, I provided a comprehensive explanation of the RMNCAH (Reproductive, Maternal, Newborn, Child, and Adolescent Health) dashboard. This dashboard serves as an integrated data system that consolidates all relevant maternal and neonatal health information, enabling a better understanding of the outcome and impact-level indicators for Bangladesh.</p>
                <p> </p>
                <p> Furthermore, the selection of districts for this study was based on specific criteria, which have been elaborated upon in the methods section to provide greater transparency regarding our approach.</p>
                <p> </p>
                <p> Results:</p>
                <p> The language and writing style of the results section have undergone a thorough revision to enhance clarity and precision. However, it was not possible to modify the Axis title, as it was sourced directly from the MPDSR dashboard, which has been cited in our reference materials.</p>
                <p> </p>
                <p> Additionally, the explanation regarding the estimated population figures draws upon an Excel file that was provided by the World Health Organization (WHO) to the government. This Excel file contains comprehensive district-wise data, including detailed calculations that utilize the growth rate projections for each year. This meticulous methodology ensures accuracy and reliability in the population estimates presented.</p>
                <p> </p>
                <p> 
                    <bold>Discussion:</bold>
                </p>
                <p> 
                    <bold>It has been improved further. </bold>
                </p>
            </body>
        </sub-article>
    </sub-article>
</article>
