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Does an innovative paper-based health information system (PHISICC) improve data quality and use in primary healthcare? Protocol of a multicountry, cluster randomised controlled trial in sub-Saharan African rural settings

INTRODUCTION: Front-line health workers in remote health facilities are the first contact of the formal health sector and are confronted with life-saving decisions. Health information systems (HIS) support the collection and use of health related data. However, HIS focus on reporting and are unfit t...

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Autores principales: Bosch-Capblanch, Xavier, Oyo-Ita, Angela, Muloliwa, Artur Manuel, Yapi, Richard B, Auer, Christian, Samba, Mamadou, Gajewski, Suzanne, Ross, Amanda, Krause, L Kendall, Ekpenyong, Nnette, Nwankwo, Ogonna, Njepuome, Anthonia Ngozi, Lee, Sofia Mandjate, Sacarlal, Jahit, Madede, Tavares, Berté, Salimata, Matsinhe, Graça, Garba, Abdullahi Bulama, Brown, David W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323359/
https://www.ncbi.nlm.nih.gov/pubmed/34326056
http://dx.doi.org/10.1136/bmjopen-2021-051823
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author Bosch-Capblanch, Xavier
Oyo-Ita, Angela
Muloliwa, Artur Manuel
Yapi, Richard B
Auer, Christian
Samba, Mamadou
Gajewski, Suzanne
Ross, Amanda
Krause, L Kendall
Ekpenyong, Nnette
Nwankwo, Ogonna
Njepuome, Anthonia Ngozi
Lee, Sofia Mandjate
Sacarlal, Jahit
Madede, Tavares
Berté, Salimata
Matsinhe, Graça
Garba, Abdullahi Bulama
Brown, David W
author_facet Bosch-Capblanch, Xavier
Oyo-Ita, Angela
Muloliwa, Artur Manuel
Yapi, Richard B
Auer, Christian
Samba, Mamadou
Gajewski, Suzanne
Ross, Amanda
Krause, L Kendall
Ekpenyong, Nnette
Nwankwo, Ogonna
Njepuome, Anthonia Ngozi
Lee, Sofia Mandjate
Sacarlal, Jahit
Madede, Tavares
Berté, Salimata
Matsinhe, Graça
Garba, Abdullahi Bulama
Brown, David W
author_sort Bosch-Capblanch, Xavier
collection PubMed
description INTRODUCTION: Front-line health workers in remote health facilities are the first contact of the formal health sector and are confronted with life-saving decisions. Health information systems (HIS) support the collection and use of health related data. However, HIS focus on reporting and are unfit to support decisions. Since data tools are paper-based in most primary healthcare settings, we have produced an innovative Paper-based Health Information System in Comprehensive Care (PHISICC) using a human-centred design approach. We are carrying out a cluster randomised controlled trial in three African countries to assess the effects of PHISICC compared with the current systems. METHODS AND ANALYSIS: Study areas are in rural zones of Côte d’Ivoire, Mozambique and Nigeria. Seventy health facilities in each country have been randomly allocated to using PHISICC tools or to continuing to use the regular HIS tools. We have randomly selected households in the catchment areas of each health facility to collect outcomes’ data (household surveys have been carried out in two of the three countries and the end-line data collection is planned for mid-2021). Primary outcomes include data quality and use, coverage of health services and health workers satisfaction; secondary outcomes are additional data quality and use parameters, childhood mortality and additional health workers and clients experience with the system. Just prior to the implementation of the trial, we had to relocate the study site in Mozambique due to unforeseen logistical issues. The effects of the intervention will be estimated using regression models and accounting for clustering using random effects. ETHICS AND DISSEMINATION: Ethics committees in Côte d’Ivoire, Mozambique and Nigeria approved the trials. We plan to disseminate our findings, data and research materials among researchers and policy-makers. We aim at having our findings included in systematic reviews on health systems interventions and future guidance development on HIS. TRIAL REGISTRATION NUMBER: PACTR201904664660639; Pre-results.
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spelling pubmed-83233592021-08-19 Does an innovative paper-based health information system (PHISICC) improve data quality and use in primary healthcare? Protocol of a multicountry, cluster randomised controlled trial in sub-Saharan African rural settings Bosch-Capblanch, Xavier Oyo-Ita, Angela Muloliwa, Artur Manuel Yapi, Richard B Auer, Christian Samba, Mamadou Gajewski, Suzanne Ross, Amanda Krause, L Kendall Ekpenyong, Nnette Nwankwo, Ogonna Njepuome, Anthonia Ngozi Lee, Sofia Mandjate Sacarlal, Jahit Madede, Tavares Berté, Salimata Matsinhe, Graça Garba, Abdullahi Bulama Brown, David W BMJ Open Health Services Research INTRODUCTION: Front-line health workers in remote health facilities are the first contact of the formal health sector and are confronted with life-saving decisions. Health information systems (HIS) support the collection and use of health related data. However, HIS focus on reporting and are unfit to support decisions. Since data tools are paper-based in most primary healthcare settings, we have produced an innovative Paper-based Health Information System in Comprehensive Care (PHISICC) using a human-centred design approach. We are carrying out a cluster randomised controlled trial in three African countries to assess the effects of PHISICC compared with the current systems. METHODS AND ANALYSIS: Study areas are in rural zones of Côte d’Ivoire, Mozambique and Nigeria. Seventy health facilities in each country have been randomly allocated to using PHISICC tools or to continuing to use the regular HIS tools. We have randomly selected households in the catchment areas of each health facility to collect outcomes’ data (household surveys have been carried out in two of the three countries and the end-line data collection is planned for mid-2021). Primary outcomes include data quality and use, coverage of health services and health workers satisfaction; secondary outcomes are additional data quality and use parameters, childhood mortality and additional health workers and clients experience with the system. Just prior to the implementation of the trial, we had to relocate the study site in Mozambique due to unforeseen logistical issues. The effects of the intervention will be estimated using regression models and accounting for clustering using random effects. ETHICS AND DISSEMINATION: Ethics committees in Côte d’Ivoire, Mozambique and Nigeria approved the trials. We plan to disseminate our findings, data and research materials among researchers and policy-makers. We aim at having our findings included in systematic reviews on health systems interventions and future guidance development on HIS. TRIAL REGISTRATION NUMBER: PACTR201904664660639; Pre-results. BMJ Publishing Group 2021-07-29 /pmc/articles/PMC8323359/ /pubmed/34326056 http://dx.doi.org/10.1136/bmjopen-2021-051823 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Health Services Research
Bosch-Capblanch, Xavier
Oyo-Ita, Angela
Muloliwa, Artur Manuel
Yapi, Richard B
Auer, Christian
Samba, Mamadou
Gajewski, Suzanne
Ross, Amanda
Krause, L Kendall
Ekpenyong, Nnette
Nwankwo, Ogonna
Njepuome, Anthonia Ngozi
Lee, Sofia Mandjate
Sacarlal, Jahit
Madede, Tavares
Berté, Salimata
Matsinhe, Graça
Garba, Abdullahi Bulama
Brown, David W
Does an innovative paper-based health information system (PHISICC) improve data quality and use in primary healthcare? Protocol of a multicountry, cluster randomised controlled trial in sub-Saharan African rural settings
title Does an innovative paper-based health information system (PHISICC) improve data quality and use in primary healthcare? Protocol of a multicountry, cluster randomised controlled trial in sub-Saharan African rural settings
title_full Does an innovative paper-based health information system (PHISICC) improve data quality and use in primary healthcare? Protocol of a multicountry, cluster randomised controlled trial in sub-Saharan African rural settings
title_fullStr Does an innovative paper-based health information system (PHISICC) improve data quality and use in primary healthcare? Protocol of a multicountry, cluster randomised controlled trial in sub-Saharan African rural settings
title_full_unstemmed Does an innovative paper-based health information system (PHISICC) improve data quality and use in primary healthcare? Protocol of a multicountry, cluster randomised controlled trial in sub-Saharan African rural settings
title_short Does an innovative paper-based health information system (PHISICC) improve data quality and use in primary healthcare? Protocol of a multicountry, cluster randomised controlled trial in sub-Saharan African rural settings
title_sort does an innovative paper-based health information system (phisicc) improve data quality and use in primary healthcare? protocol of a multicountry, cluster randomised controlled trial in sub-saharan african rural settings
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8323359/
https://www.ncbi.nlm.nih.gov/pubmed/34326056
http://dx.doi.org/10.1136/bmjopen-2021-051823
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