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The effect of a clinical decision-making mHealth support system on maternal and neonatal mortality and morbidity in Ghana: study protocol for a cluster randomized controlled trial

BACKGROUND: Mobile health (mHealth) presents one of the potential solutions to maximize health worker impact and efficiency in an effort to reach the Sustainable Development Goals 3.1 and 3.2, particularly in sub-Saharan African countries. Poor-quality clinical decision-making is known to be associa...

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Autores principales: Amoakoh, Hannah Brown, Klipstein-Grobusch, Kerstin, Amoakoh-Coleman, Mary, Agyepong, Irene Akua, Kayode, Gbenga A., Sarpong, Charity, Grobbee, Diederick E., Ansah, Evelyn K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379695/
https://www.ncbi.nlm.nih.gov/pubmed/28372580
http://dx.doi.org/10.1186/s13063-017-1897-4
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author Amoakoh, Hannah Brown
Klipstein-Grobusch, Kerstin
Amoakoh-Coleman, Mary
Agyepong, Irene Akua
Kayode, Gbenga A.
Sarpong, Charity
Grobbee, Diederick E.
Ansah, Evelyn K.
author_facet Amoakoh, Hannah Brown
Klipstein-Grobusch, Kerstin
Amoakoh-Coleman, Mary
Agyepong, Irene Akua
Kayode, Gbenga A.
Sarpong, Charity
Grobbee, Diederick E.
Ansah, Evelyn K.
author_sort Amoakoh, Hannah Brown
collection PubMed
description BACKGROUND: Mobile health (mHealth) presents one of the potential solutions to maximize health worker impact and efficiency in an effort to reach the Sustainable Development Goals 3.1 and 3.2, particularly in sub-Saharan African countries. Poor-quality clinical decision-making is known to be associated with poor pregnancy and birth outcomes. This study aims to assess the effect of a clinical decision-making support system (CDMSS) directed at frontline health care providers on neonatal and maternal health outcomes. METHODS/DESIGN: A cluster randomized controlled trial will be conducted in 16 eligible districts (clusters) in the Eastern Region of Ghana to assess the effect of an mHealth CDMSS for maternal and neonatal health care services on maternal and neonatal outcomes. The CDMSS intervention consists of an Unstructured Supplementary Service Data (USSD)-based text messaging of standard emergency obstetric and neonatal protocols to providers on their request. The primary outcome of the intervention is the incidence of institutional neonatal mortality. Outcomes will be assessed through an analysis of data on maternal and neonatal morbidity and mortality extracted from the District Health Information Management System-2 (DHIMS-2) and health facility-based records. The quality of maternal and neonatal health care will be assessed in two purposively selected clusters from each study arm. DISCUSSION: In this trial the effect of a mobile CDMSS on institutional maternal and neonatal health outcomes will be evaluated to generate evidence-based recommendations for the use of mobile CDMSS in Ghana and other West African countries. TRIAL REGISTRATION: ClinicalTrials.gov, identifier: NCT02468310. Registered on 7 September 2015; Pan African Clinical Trials Registry, identifier: PACTR20151200109073. Registered on 9 December 2015 retrospectively from trial start date. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13063-017-1897-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-53796952017-04-07 The effect of a clinical decision-making mHealth support system on maternal and neonatal mortality and morbidity in Ghana: study protocol for a cluster randomized controlled trial Amoakoh, Hannah Brown Klipstein-Grobusch, Kerstin Amoakoh-Coleman, Mary Agyepong, Irene Akua Kayode, Gbenga A. Sarpong, Charity Grobbee, Diederick E. Ansah, Evelyn K. Trials Study Protocol BACKGROUND: Mobile health (mHealth) presents one of the potential solutions to maximize health worker impact and efficiency in an effort to reach the Sustainable Development Goals 3.1 and 3.2, particularly in sub-Saharan African countries. Poor-quality clinical decision-making is known to be associated with poor pregnancy and birth outcomes. This study aims to assess the effect of a clinical decision-making support system (CDMSS) directed at frontline health care providers on neonatal and maternal health outcomes. METHODS/DESIGN: A cluster randomized controlled trial will be conducted in 16 eligible districts (clusters) in the Eastern Region of Ghana to assess the effect of an mHealth CDMSS for maternal and neonatal health care services on maternal and neonatal outcomes. The CDMSS intervention consists of an Unstructured Supplementary Service Data (USSD)-based text messaging of standard emergency obstetric and neonatal protocols to providers on their request. The primary outcome of the intervention is the incidence of institutional neonatal mortality. Outcomes will be assessed through an analysis of data on maternal and neonatal morbidity and mortality extracted from the District Health Information Management System-2 (DHIMS-2) and health facility-based records. The quality of maternal and neonatal health care will be assessed in two purposively selected clusters from each study arm. DISCUSSION: In this trial the effect of a mobile CDMSS on institutional maternal and neonatal health outcomes will be evaluated to generate evidence-based recommendations for the use of mobile CDMSS in Ghana and other West African countries. TRIAL REGISTRATION: ClinicalTrials.gov, identifier: NCT02468310. Registered on 7 September 2015; Pan African Clinical Trials Registry, identifier: PACTR20151200109073. Registered on 9 December 2015 retrospectively from trial start date. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13063-017-1897-4) contains supplementary material, which is available to authorized users. BioMed Central 2017-04-04 /pmc/articles/PMC5379695/ /pubmed/28372580 http://dx.doi.org/10.1186/s13063-017-1897-4 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Study Protocol
Amoakoh, Hannah Brown
Klipstein-Grobusch, Kerstin
Amoakoh-Coleman, Mary
Agyepong, Irene Akua
Kayode, Gbenga A.
Sarpong, Charity
Grobbee, Diederick E.
Ansah, Evelyn K.
The effect of a clinical decision-making mHealth support system on maternal and neonatal mortality and morbidity in Ghana: study protocol for a cluster randomized controlled trial
title The effect of a clinical decision-making mHealth support system on maternal and neonatal mortality and morbidity in Ghana: study protocol for a cluster randomized controlled trial
title_full The effect of a clinical decision-making mHealth support system on maternal and neonatal mortality and morbidity in Ghana: study protocol for a cluster randomized controlled trial
title_fullStr The effect of a clinical decision-making mHealth support system on maternal and neonatal mortality and morbidity in Ghana: study protocol for a cluster randomized controlled trial
title_full_unstemmed The effect of a clinical decision-making mHealth support system on maternal and neonatal mortality and morbidity in Ghana: study protocol for a cluster randomized controlled trial
title_short The effect of a clinical decision-making mHealth support system on maternal and neonatal mortality and morbidity in Ghana: study protocol for a cluster randomized controlled trial
title_sort effect of a clinical decision-making mhealth support system on maternal and neonatal mortality and morbidity in ghana: study protocol for a cluster randomized controlled trial
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379695/
https://www.ncbi.nlm.nih.gov/pubmed/28372580
http://dx.doi.org/10.1186/s13063-017-1897-4
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