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Effects of primary healthcare reform on routine health information systems (RHISs): a mixed-methods study in Lesotho

BACKGROUND AND OBJECTIVE: The Ministry of Health of Lesotho and Partners In Health piloted the Lesotho National Primary Health Care Reform (LPHCR) from July 2014 to June 2017 to improve quality and quantity of service delivery and enhance health system management. This initiative included improvemen...

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Autores principales: Birru, Ermyas, Ndayizigiye, Melino, McBain, Ryan, Mokoena, Mathabang, Koto, Masebeo, Augusto, Orvalho, Casmir, Edinah, Puttkammer, Nancy, Mukherjee, Joia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201246/
https://www.ncbi.nlm.nih.gov/pubmed/37208141
http://dx.doi.org/10.1136/bmjopen-2022-071414
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author Birru, Ermyas
Ndayizigiye, Melino
McBain, Ryan
Mokoena, Mathabang
Koto, Masebeo
Augusto, Orvalho
Casmir, Edinah
Puttkammer, Nancy
Mukherjee, Joia
author_facet Birru, Ermyas
Ndayizigiye, Melino
McBain, Ryan
Mokoena, Mathabang
Koto, Masebeo
Augusto, Orvalho
Casmir, Edinah
Puttkammer, Nancy
Mukherjee, Joia
author_sort Birru, Ermyas
collection PubMed
description BACKGROUND AND OBJECTIVE: The Ministry of Health of Lesotho and Partners In Health piloted the Lesotho National Primary Health Care Reform (LPHCR) from July 2014 to June 2017 to improve quality and quantity of service delivery and enhance health system management. This initiative included improvement of routine health information systems (RHISs) to map disease burden and reinforce data utilisation for clinical quality improvement. METHODS AND ANALYSIS: The WHO Data Quality Assurance framework’s core indicators were used to compare the completeness of health data before versus after the LPHCR in 60 health centres and 6 hospitals across four districts. To examine change in data completeness, we conducted an interrupted time series analysis using multivariable logistic mixed-effects regression. Additionally, we conducted 25 key informant interviews with healthcare workers (HCWs) at the different levels of Lesotho’s health system, following a purposive sampling approach. Interviews were analysed using deductive coding based on the Performance of Routine Information System Management framework, which inspected organisational, technical and behavioural factors influencing RHIS processes and outputs associated with the LPHCR. RESULTS: In multivariable analyses, trends in monthly data completion rate were higher after versus before the LPHCR for: documenting first antenatal care visit (adjusted OR (AOR): 1.24, 95% CI: 1.14 to 1.36) and institutional delivery (AOR: 1.19, 95% CI: 1.07 to 1.32). When discussing processes, HCWs highlighted the value of establishing clear roles and responsibilities in reporting under a new organisational structure, improved community programmes among district health management teams, and enhanced data sharing and monitoring by districts. CONCLUSION: The Ministry of Health had a strong data completion rate pre-LPHCR, which was sustained throughout the LPHCR despite increased service utilisation. The data completion rate was optimised through improved behavioural, technical and organisational factors introduced as part of the LPHCR.
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spelling pubmed-102012462023-05-23 Effects of primary healthcare reform on routine health information systems (RHISs): a mixed-methods study in Lesotho Birru, Ermyas Ndayizigiye, Melino McBain, Ryan Mokoena, Mathabang Koto, Masebeo Augusto, Orvalho Casmir, Edinah Puttkammer, Nancy Mukherjee, Joia BMJ Open Health Services Research BACKGROUND AND OBJECTIVE: The Ministry of Health of Lesotho and Partners In Health piloted the Lesotho National Primary Health Care Reform (LPHCR) from July 2014 to June 2017 to improve quality and quantity of service delivery and enhance health system management. This initiative included improvement of routine health information systems (RHISs) to map disease burden and reinforce data utilisation for clinical quality improvement. METHODS AND ANALYSIS: The WHO Data Quality Assurance framework’s core indicators were used to compare the completeness of health data before versus after the LPHCR in 60 health centres and 6 hospitals across four districts. To examine change in data completeness, we conducted an interrupted time series analysis using multivariable logistic mixed-effects regression. Additionally, we conducted 25 key informant interviews with healthcare workers (HCWs) at the different levels of Lesotho’s health system, following a purposive sampling approach. Interviews were analysed using deductive coding based on the Performance of Routine Information System Management framework, which inspected organisational, technical and behavioural factors influencing RHIS processes and outputs associated with the LPHCR. RESULTS: In multivariable analyses, trends in monthly data completion rate were higher after versus before the LPHCR for: documenting first antenatal care visit (adjusted OR (AOR): 1.24, 95% CI: 1.14 to 1.36) and institutional delivery (AOR: 1.19, 95% CI: 1.07 to 1.32). When discussing processes, HCWs highlighted the value of establishing clear roles and responsibilities in reporting under a new organisational structure, improved community programmes among district health management teams, and enhanced data sharing and monitoring by districts. CONCLUSION: The Ministry of Health had a strong data completion rate pre-LPHCR, which was sustained throughout the LPHCR despite increased service utilisation. The data completion rate was optimised through improved behavioural, technical and organisational factors introduced as part of the LPHCR. BMJ Publishing Group 2023-05-19 /pmc/articles/PMC10201246/ /pubmed/37208141 http://dx.doi.org/10.1136/bmjopen-2022-071414 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Health Services Research
Birru, Ermyas
Ndayizigiye, Melino
McBain, Ryan
Mokoena, Mathabang
Koto, Masebeo
Augusto, Orvalho
Casmir, Edinah
Puttkammer, Nancy
Mukherjee, Joia
Effects of primary healthcare reform on routine health information systems (RHISs): a mixed-methods study in Lesotho
title Effects of primary healthcare reform on routine health information systems (RHISs): a mixed-methods study in Lesotho
title_full Effects of primary healthcare reform on routine health information systems (RHISs): a mixed-methods study in Lesotho
title_fullStr Effects of primary healthcare reform on routine health information systems (RHISs): a mixed-methods study in Lesotho
title_full_unstemmed Effects of primary healthcare reform on routine health information systems (RHISs): a mixed-methods study in Lesotho
title_short Effects of primary healthcare reform on routine health information systems (RHISs): a mixed-methods study in Lesotho
title_sort effects of primary healthcare reform on routine health information systems (rhiss): a mixed-methods study in lesotho
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201246/
https://www.ncbi.nlm.nih.gov/pubmed/37208141
http://dx.doi.org/10.1136/bmjopen-2022-071414
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