Health management information system (HMIS) data quality and associated factors in Massaguet district, Chad

Abstract Background Quality data from Health Management Information Systems (HMIS) are important for tracking the effectiveness of malaria control interventions. However, HMIS data in many resource-limited settings do not currently meet standards set by the World Health Organization (WHO). We aimed...

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Autores principales:	Azoukalné Moukénet, Monica Anna de Cola, Charlotte Ward, Honoré Beakgoubé, Kevin Baker, Laura Donovan, Jean Laoukolé, Sol Richardson
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Data quality Health management information system Malaria Chad Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/6f2d073d7e6e40c69bcce707a6076637
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spelling	oai:doaj.org-article:6f2d073d7e6e40c69bcce707a60766372021-11-28T12:26:18ZHealth management information system (HMIS) data quality and associated factors in Massaguet district, Chad10.1186/s12911-021-01684-71472-6947https://doaj.org/article/6f2d073d7e6e40c69bcce707a60766372021-11-01T00:00:00Zhttps://doi.org/10.1186/s12911-021-01684-7https://doaj.org/toc/1472-6947Abstract Background Quality data from Health Management Information Systems (HMIS) are important for tracking the effectiveness of malaria control interventions. However, HMIS data in many resource-limited settings do not currently meet standards set by the World Health Organization (WHO). We aimed to assess HMIS data quality and associated factors in Chad. Methods A cross-sectional study was conducted in 14 health facilities in Massaguet district. Data on children under 15 years were obtained from the HMIS and from the external patient register covering the period January–December 2018. An additional questionnaire was administered to 16 health centre managers to collect data on contextual variables. Patient registry data were aggregated and compared with the HMIS database at district and health centre level. Completeness and accuracy indicators were calculated as per WHO guidelines. Multivariate logistic regressions were performed on the Verification Factor for attendance, suspected and confirmed malaria cases for three age groups (1 to < 12 months, 1 to < 5 years and 5 to < 15 years) to identify associations between health centre characteristics and data accuracy. Results Health centres achieved a high level of data completeness in HMIS. Malaria data were over-reported in HMIS for children aged under 15 years. There was an association between workload and higher odds of inaccuracy in reporting of attendance among children aged 1 to < 5 years (Odds ratio [OR]: 10.57, 95% CI 2.32–48.19) and 5– < 15 years (OR: 6.64, 95% CI 1.38–32.04). Similar association was found between workload and stock-outs in register books, and inaccuracy in reporting of malaria confirmed cases. Meanwhile, we found that presence of a health technician, and of dedicated staff for data management, were associated with lower inaccuracy in reporting of clinic attendance in children aged under five years. Conclusion Data completeness was high while the accuracy was low. Factors associated with data inaccuracy included high workload and the unavailability of required data collection tools. The results suggest that improvement in working conditions for clinic personnel may improve HMIS data quality. Upgrading from paper-based forms to a web-based HMIS may provide a solution for improving data accuracy and its utility for future evaluations of health interventions. Results from this study can inform the Ministry of Health and it partners on the precautions to be taken in the use of HMIS data and inform initiatives for improving its quality.Azoukalné MoukénetMonica Anna de ColaCharlotte WardHonoré BeakgoubéKevin BakerLaura DonovanJean LaoukoléSol RichardsonBMCarticleData qualityHealth management information systemMalariaChadComputer applications to medicine. Medical informaticsR858-859.7ENBMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Data quality Health management information system Malaria Chad Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Data quality Health management information system Malaria Chad Computer applications to medicine. Medical informatics R858-859.7 Azoukalné Moukénet Monica Anna de Cola Charlotte Ward Honoré Beakgoubé Kevin Baker Laura Donovan Jean Laoukolé Sol Richardson Health management information system (HMIS) data quality and associated factors in Massaguet district, Chad
description	Abstract Background Quality data from Health Management Information Systems (HMIS) are important for tracking the effectiveness of malaria control interventions. However, HMIS data in many resource-limited settings do not currently meet standards set by the World Health Organization (WHO). We aimed to assess HMIS data quality and associated factors in Chad. Methods A cross-sectional study was conducted in 14 health facilities in Massaguet district. Data on children under 15 years were obtained from the HMIS and from the external patient register covering the period January–December 2018. An additional questionnaire was administered to 16 health centre managers to collect data on contextual variables. Patient registry data were aggregated and compared with the HMIS database at district and health centre level. Completeness and accuracy indicators were calculated as per WHO guidelines. Multivariate logistic regressions were performed on the Verification Factor for attendance, suspected and confirmed malaria cases for three age groups (1 to < 12 months, 1 to < 5 years and 5 to < 15 years) to identify associations between health centre characteristics and data accuracy. Results Health centres achieved a high level of data completeness in HMIS. Malaria data were over-reported in HMIS for children aged under 15 years. There was an association between workload and higher odds of inaccuracy in reporting of attendance among children aged 1 to < 5 years (Odds ratio [OR]: 10.57, 95% CI 2.32–48.19) and 5– < 15 years (OR: 6.64, 95% CI 1.38–32.04). Similar association was found between workload and stock-outs in register books, and inaccuracy in reporting of malaria confirmed cases. Meanwhile, we found that presence of a health technician, and of dedicated staff for data management, were associated with lower inaccuracy in reporting of clinic attendance in children aged under five years. Conclusion Data completeness was high while the accuracy was low. Factors associated with data inaccuracy included high workload and the unavailability of required data collection tools. The results suggest that improvement in working conditions for clinic personnel may improve HMIS data quality. Upgrading from paper-based forms to a web-based HMIS may provide a solution for improving data accuracy and its utility for future evaluations of health interventions. Results from this study can inform the Ministry of Health and it partners on the precautions to be taken in the use of HMIS data and inform initiatives for improving its quality.
format	article
author	Azoukalné Moukénet Monica Anna de Cola Charlotte Ward Honoré Beakgoubé Kevin Baker Laura Donovan Jean Laoukolé Sol Richardson
author_facet	Azoukalné Moukénet Monica Anna de Cola Charlotte Ward Honoré Beakgoubé Kevin Baker Laura Donovan Jean Laoukolé Sol Richardson
author_sort	Azoukalné Moukénet
title	Health management information system (HMIS) data quality and associated factors in Massaguet district, Chad
title_short	Health management information system (HMIS) data quality and associated factors in Massaguet district, Chad
title_full	Health management information system (HMIS) data quality and associated factors in Massaguet district, Chad
title_fullStr	Health management information system (HMIS) data quality and associated factors in Massaguet district, Chad
title_full_unstemmed	Health management information system (HMIS) data quality and associated factors in Massaguet district, Chad
title_sort	health management information system (hmis) data quality and associated factors in massaguet district, chad
publisher	BMC
publishDate	2021
url	https://doaj.org/article/6f2d073d7e6e40c69bcce707a6076637
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Health management information system (HMIS) data quality and associated factors in Massaguet district, Chad

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