Evaluating the impact of e-registration and mHealth on institutional delivery in hazard-prone areas of Bangladesh: A protocol for a non-randomized controlled cluster trial
Despite substantial progress, Bangladesh still has a high rate of maternal deaths owing to difficulties during pregnancy, delivery, and the postpartum period. Increasing facility delivery is mandatory to reach the goal of bringing down the MMR to
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| Veröffentlicht in: | PloS one 2023-09, Vol.18 (9), p.e0271364-e0271364 |
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| creator | Chowdhury, Anika Tasneem Jabeen, Sabrina Sultana, Zeeba Zahra Rahman, Ahmed Ehsanur Arifeen, Shams El Hossain, Ahmed |
| description | Despite substantial progress, Bangladesh still has a high rate of maternal deaths owing to difficulties during pregnancy, delivery, and the postpartum period. Increasing facility delivery is mandatory to reach the goal of bringing down the MMR to |
| doi_str_mv | 10.1371/journal.pone.0271364 |
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C., Ashish</contributor><creatorcontrib>Chowdhury, Anika Tasneem ; Jabeen, Sabrina ; Sultana, Zeeba Zahra ; Rahman, Ahmed Ehsanur ; Arifeen, Shams El ; Hossain, Ahmed ; K. C., Ashish</creatorcontrib><description>Despite substantial progress, Bangladesh still has a high rate of maternal deaths owing to difficulties during pregnancy, delivery, and the postpartum period. Increasing facility delivery is mandatory to reach the goal of bringing down the MMR to <70 deaths/100,000 live births by 2030. In the era of digitalization, the introduction of e-registration and mHealth may aid the government in reaching this target. The southern part of Bangladesh is a hazard-prone area, where service uptake from institutions is low. This study aims to determine the effect of an e-registration tracking system and mHealth counseling on institutional deliveries to pregnant mothers in hazard-prone areas of southern Bangladesh. We will conduct an open-label, two-arm, non-randomized controlled cluster trial for six months and use three hazard-prone areas for intervention and another three hazard-prone areas for control. We will collect data at baseline and end-line of the study period using a structured questionnaire. We will enroll at least 268 pregnant mothers from the intervention and 268 pregnant mothers from the control areas after screening based on the inclusion and exclusion criteria. Pregnancy information will be obtained from the Family Welfare Assistant register. The respondents of the intervention arm will be registered in the e-Registration system, and receive voice call and text messages from the midwives to have their deliveries done in healthcare facilities. We will follow the participants until their delivery and exclude those respondents from the study who will have post-dated delivery, migrate out, lost to follow-up, or die during the study period. Random-intercept mixed-effect logistic regression will be performed to explain the relationship of e-registration and mHealth package with institutional delivery. Institutional delivery is still uncommon in Southern Bangladesh despite several interventions. Innovative approaches like e-registration and mHealth counseling may be helpful to bring women to health facilities. The findings from the study might enable the policy makers of Bangladesh to integrate the intervention package into the existing healthcare system. This experiment is registered in the open science framework.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0271364</identifier><identifier>PMID: 37756321</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Births ; Childrens health ; Clusters ; Digital technology ; Digitization ; Disasters ; Family planning ; Fatalities ; Hazards ; Health aspects ; Health care ; Health care facilities ; Health facilities ; Human error ; Intervention ; Management information systems ; Maternal & child health ; Maternal mortality ; Medicine and Health Sciences ; Midwifery ; Midwives ; Mothers ; Patient outcomes ; People and Places ; Pregnancy ; Pregnant women ; Registration ; Research and Analysis Methods ; Study Protocol ; Sustainable development ; Telemedicine ; Tracking systems ; Women</subject><ispartof>PloS one, 2023-09, Vol.18 (9), p.e0271364-e0271364</ispartof><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Chowdhury et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Chowdhury et al 2023 Chowdhury et al</rights><rights>2023 Chowdhury et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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C., Ashish</contributor><creatorcontrib>Chowdhury, Anika Tasneem</creatorcontrib><creatorcontrib>Jabeen, Sabrina</creatorcontrib><creatorcontrib>Sultana, Zeeba Zahra</creatorcontrib><creatorcontrib>Rahman, Ahmed Ehsanur</creatorcontrib><creatorcontrib>Arifeen, Shams El</creatorcontrib><creatorcontrib>Hossain, Ahmed</creatorcontrib><title>Evaluating the impact of e-registration and mHealth on institutional delivery in hazard-prone areas of Bangladesh: A protocol for a non-randomized controlled cluster trial</title><title>PloS one</title><description>Despite substantial progress, Bangladesh still has a high rate of maternal deaths owing to difficulties during pregnancy, delivery, and the postpartum period. Increasing facility delivery is mandatory to reach the goal of bringing down the MMR to <70 deaths/100,000 live births by 2030. In the era of digitalization, the introduction of e-registration and mHealth may aid the government in reaching this target. The southern part of Bangladesh is a hazard-prone area, where service uptake from institutions is low. This study aims to determine the effect of an e-registration tracking system and mHealth counseling on institutional deliveries to pregnant mothers in hazard-prone areas of southern Bangladesh. We will conduct an open-label, two-arm, non-randomized controlled cluster trial for six months and use three hazard-prone areas for intervention and another three hazard-prone areas for control. We will collect data at baseline and end-line of the study period using a structured questionnaire. We will enroll at least 268 pregnant mothers from the intervention and 268 pregnant mothers from the control areas after screening based on the inclusion and exclusion criteria. Pregnancy information will be obtained from the Family Welfare Assistant register. The respondents of the intervention arm will be registered in the e-Registration system, and receive voice call and text messages from the midwives to have their deliveries done in healthcare facilities. We will follow the participants until their delivery and exclude those respondents from the study who will have post-dated delivery, migrate out, lost to follow-up, or die during the study period. Random-intercept mixed-effect logistic regression will be performed to explain the relationship of e-registration and mHealth package with institutional delivery. Institutional delivery is still uncommon in Southern Bangladesh despite several interventions. Innovative approaches like e-registration and mHealth counseling may be helpful to bring women to health facilities. The findings from the study might enable the policy makers of Bangladesh to integrate the intervention package into the existing healthcare system. 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The southern part of Bangladesh is a hazard-prone area, where service uptake from institutions is low. This study aims to determine the effect of an e-registration tracking system and mHealth counseling on institutional deliveries to pregnant mothers in hazard-prone areas of southern Bangladesh. We will conduct an open-label, two-arm, non-randomized controlled cluster trial for six months and use three hazard-prone areas for intervention and another three hazard-prone areas for control. We will collect data at baseline and end-line of the study period using a structured questionnaire. We will enroll at least 268 pregnant mothers from the intervention and 268 pregnant mothers from the control areas after screening based on the inclusion and exclusion criteria. Pregnancy information will be obtained from the Family Welfare Assistant register. The respondents of the intervention arm will be registered in the e-Registration system, and receive voice call and text messages from the midwives to have their deliveries done in healthcare facilities. We will follow the participants until their delivery and exclude those respondents from the study who will have post-dated delivery, migrate out, lost to follow-up, or die during the study period. Random-intercept mixed-effect logistic regression will be performed to explain the relationship of e-registration and mHealth package with institutional delivery. Institutional delivery is still uncommon in Southern Bangladesh despite several interventions. Innovative approaches like e-registration and mHealth counseling may be helpful to bring women to health facilities. The findings from the study might enable the policy makers of Bangladesh to integrate the intervention package into the existing healthcare system. 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| source | DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Births Childrens health Clusters Digital technology Digitization Disasters Family planning Fatalities Hazards Health aspects Health care Health care facilities Health facilities Human error Intervention Management information systems Maternal & child health Maternal mortality Medicine and Health Sciences Midwifery Midwives Mothers Patient outcomes People and Places Pregnancy Pregnant women Registration Research and Analysis Methods Study Protocol Sustainable development Telemedicine Tracking systems Women |
| title | Evaluating the impact of e-registration and mHealth on institutional delivery in hazard-prone areas of Bangladesh: A protocol for a non-randomized controlled cluster trial |
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