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eRegCom—Quality Improvement Dashboard for healthcare providers and Targeted Client Communication to pregnant women using data from an electronic health registry to improve attendance and quality of antenatal care: study protocol for a multi-arm cluster randomized trial

BACKGROUND: This trial evaluates interventions that utilize data entered at point-of-care in the Palestinian maternal and child eRegistry to generate Quality Improvement Dashboards (QID) for healthcare providers and Targeted Client Communication (TCC) via short message service (SMS) to clients. The...

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Autores principales: Mørkrid, Kjersti, Bogale, Binyam, Abbas, Eatimad, Abu Khader, Khadija, Abu Ward, Itimad, Attalh, Amjad, Awwad, Tamara, Baniode, Mohammad, Frost, Kimberly Suzanne, Frost, Michael James, Ghanem, Buthaina, Hijaz, Taghreed, Isbeih, Mervett, Issawi, Sally, Nazzal, Zaher A. S., O’Donnell, Brian, Qaddomi, Sharif E., Rabah, Yousef, Venkateswaran, Mahima, Frøen, J. Frederik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7802344/
https://www.ncbi.nlm.nih.gov/pubmed/33430935
http://dx.doi.org/10.1186/s13063-020-04980-1
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author Mørkrid, Kjersti
Bogale, Binyam
Abbas, Eatimad
Abu Khader, Khadija
Abu Ward, Itimad
Attalh, Amjad
Awwad, Tamara
Baniode, Mohammad
Frost, Kimberly Suzanne
Frost, Michael James
Ghanem, Buthaina
Hijaz, Taghreed
Isbeih, Mervett
Issawi, Sally
Nazzal, Zaher A. S.
O’Donnell, Brian
Qaddomi, Sharif E.
Rabah, Yousef
Venkateswaran, Mahima
Frøen, J. Frederik
author_facet Mørkrid, Kjersti
Bogale, Binyam
Abbas, Eatimad
Abu Khader, Khadija
Abu Ward, Itimad
Attalh, Amjad
Awwad, Tamara
Baniode, Mohammad
Frost, Kimberly Suzanne
Frost, Michael James
Ghanem, Buthaina
Hijaz, Taghreed
Isbeih, Mervett
Issawi, Sally
Nazzal, Zaher A. S.
O’Donnell, Brian
Qaddomi, Sharif E.
Rabah, Yousef
Venkateswaran, Mahima
Frøen, J. Frederik
author_sort Mørkrid, Kjersti
collection PubMed
description BACKGROUND: This trial evaluates interventions that utilize data entered at point-of-care in the Palestinian maternal and child eRegistry to generate Quality Improvement Dashboards (QID) for healthcare providers and Targeted Client Communication (TCC) via short message service (SMS) to clients. The aim is to assess the effectiveness of the automated communication strategies from the eRegistry on improving attendance and quality of care for pregnant women. METHODS: This four-arm cluster randomized controlled trial will be conducted in the West Bank and the Gaza Strip, Palestine, and includes 138 clusters (primary healthcare clinics) enrolling from 45 to 3000 pregnancies per year. The intervention tools are the QID and the TCC via SMS, automated from the eRegistry built on the District Health Information Software 2 (DHIS2) Tracker. The primary outcomes are appropriate screening and management of anemia, hypertension, and diabetes during pregnancy and timely attendance to antenatal care. Primary analysis, at the individual level taking the design effect of the clustering into account, will be done as intention-to-treat. DISCUSSION: This trial, embedded in the implementation of the eRegistry in Palestine, will inform the use of digital health interventions as a health systems strengthening approach. TRIAL REGISTRATION: ISRCTN Registry, ISRCTN10520687. Registered on 18 October 2018
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spelling pubmed-78023442021-01-13 eRegCom—Quality Improvement Dashboard for healthcare providers and Targeted Client Communication to pregnant women using data from an electronic health registry to improve attendance and quality of antenatal care: study protocol for a multi-arm cluster randomized trial Mørkrid, Kjersti Bogale, Binyam Abbas, Eatimad Abu Khader, Khadija Abu Ward, Itimad Attalh, Amjad Awwad, Tamara Baniode, Mohammad Frost, Kimberly Suzanne Frost, Michael James Ghanem, Buthaina Hijaz, Taghreed Isbeih, Mervett Issawi, Sally Nazzal, Zaher A. S. O’Donnell, Brian Qaddomi, Sharif E. Rabah, Yousef Venkateswaran, Mahima Frøen, J. Frederik Trials Study Protocol BACKGROUND: This trial evaluates interventions that utilize data entered at point-of-care in the Palestinian maternal and child eRegistry to generate Quality Improvement Dashboards (QID) for healthcare providers and Targeted Client Communication (TCC) via short message service (SMS) to clients. The aim is to assess the effectiveness of the automated communication strategies from the eRegistry on improving attendance and quality of care for pregnant women. METHODS: This four-arm cluster randomized controlled trial will be conducted in the West Bank and the Gaza Strip, Palestine, and includes 138 clusters (primary healthcare clinics) enrolling from 45 to 3000 pregnancies per year. The intervention tools are the QID and the TCC via SMS, automated from the eRegistry built on the District Health Information Software 2 (DHIS2) Tracker. The primary outcomes are appropriate screening and management of anemia, hypertension, and diabetes during pregnancy and timely attendance to antenatal care. Primary analysis, at the individual level taking the design effect of the clustering into account, will be done as intention-to-treat. DISCUSSION: This trial, embedded in the implementation of the eRegistry in Palestine, will inform the use of digital health interventions as a health systems strengthening approach. TRIAL REGISTRATION: ISRCTN Registry, ISRCTN10520687. Registered on 18 October 2018 BioMed Central 2021-01-11 /pmc/articles/PMC7802344/ /pubmed/33430935 http://dx.doi.org/10.1186/s13063-020-04980-1 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Study Protocol
Mørkrid, Kjersti
Bogale, Binyam
Abbas, Eatimad
Abu Khader, Khadija
Abu Ward, Itimad
Attalh, Amjad
Awwad, Tamara
Baniode, Mohammad
Frost, Kimberly Suzanne
Frost, Michael James
Ghanem, Buthaina
Hijaz, Taghreed
Isbeih, Mervett
Issawi, Sally
Nazzal, Zaher A. S.
O’Donnell, Brian
Qaddomi, Sharif E.
Rabah, Yousef
Venkateswaran, Mahima
Frøen, J. Frederik
eRegCom—Quality Improvement Dashboard for healthcare providers and Targeted Client Communication to pregnant women using data from an electronic health registry to improve attendance and quality of antenatal care: study protocol for a multi-arm cluster randomized trial
title eRegCom—Quality Improvement Dashboard for healthcare providers and Targeted Client Communication to pregnant women using data from an electronic health registry to improve attendance and quality of antenatal care: study protocol for a multi-arm cluster randomized trial
title_full eRegCom—Quality Improvement Dashboard for healthcare providers and Targeted Client Communication to pregnant women using data from an electronic health registry to improve attendance and quality of antenatal care: study protocol for a multi-arm cluster randomized trial
title_fullStr eRegCom—Quality Improvement Dashboard for healthcare providers and Targeted Client Communication to pregnant women using data from an electronic health registry to improve attendance and quality of antenatal care: study protocol for a multi-arm cluster randomized trial
title_full_unstemmed eRegCom—Quality Improvement Dashboard for healthcare providers and Targeted Client Communication to pregnant women using data from an electronic health registry to improve attendance and quality of antenatal care: study protocol for a multi-arm cluster randomized trial
title_short eRegCom—Quality Improvement Dashboard for healthcare providers and Targeted Client Communication to pregnant women using data from an electronic health registry to improve attendance and quality of antenatal care: study protocol for a multi-arm cluster randomized trial
title_sort eregcom—quality improvement dashboard for healthcare providers and targeted client communication to pregnant women using data from an electronic health registry to improve attendance and quality of antenatal care: study protocol for a multi-arm cluster randomized trial
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7802344/
https://www.ncbi.nlm.nih.gov/pubmed/33430935
http://dx.doi.org/10.1186/s13063-020-04980-1
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