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An assessment of routine primary care health information system data quality in Sofala Province, Mozambique

BACKGROUND: Primary health care is recognized as a main driver of equitable health service delivery. For it to function optimally, routine health information systems (HIS) are necessary to ensure adequate provision of health care and the development of appropriate health policies. Concerns about the...

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Autores principales: Gimbel, Sarah, Micek, Mark, Lambdin, Barrot, Lara, Joseph, Karagianis, Marina, Cuembelo, Fatima, Gloyd, Stephen S, Pfeiffer, James, Sherr, Kenneth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3112390/
https://www.ncbi.nlm.nih.gov/pubmed/21569533
http://dx.doi.org/10.1186/1478-7954-9-12
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author Gimbel, Sarah
Micek, Mark
Lambdin, Barrot
Lara, Joseph
Karagianis, Marina
Cuembelo, Fatima
Gloyd, Stephen S
Pfeiffer, James
Sherr, Kenneth
author_facet Gimbel, Sarah
Micek, Mark
Lambdin, Barrot
Lara, Joseph
Karagianis, Marina
Cuembelo, Fatima
Gloyd, Stephen S
Pfeiffer, James
Sherr, Kenneth
author_sort Gimbel, Sarah
collection PubMed
description BACKGROUND: Primary health care is recognized as a main driver of equitable health service delivery. For it to function optimally, routine health information systems (HIS) are necessary to ensure adequate provision of health care and the development of appropriate health policies. Concerns about the quality of routine administrative data have undermined their use in resource-limited settings. This evaluation was designed to describe the availability, reliability, and validity of a sample of primary health care HIS data from nine health facilities across three districts in Sofala Province, Mozambique. HIS data were also compared with results from large community-based surveys. METHODOLOGY: We used a methodology similar to the Global Fund to Fight AIDS, Tuberculosis and Malaria data verification bottom-up audit to assess primary health care HIS data availability and reliability. The quality of HIS data was validated by comparing three key indicators (antenatal care, institutional birth, and third diptheria, pertussis, and tetanus [DPT] immunization) with population-level surveys over time. RESULTS AND DISCUSSION: The data concordance from facility clinical registries to monthly facility reports on five key indicators--the number of first antenatal care visits, institutional births, third DPT immunization, HIV testing, and outpatient consults--was good (80%). When two sites were excluded from the analysis, the concordance was markedly better (92%). Of monthly facility reports for immunization and maternity services, 98% were available in paper form at district health departments and 98% of immunization and maternity services monthly facility reports matched the Ministry of Health electronic database. Population-level health survey and HIS data were strongly correlated (R = 0.73), for institutional birth, first antenatal care visit, and third DPT immunization. CONCLUSIONS: Our results suggest that in this setting, HIS data are both reliable and consistent, supporting their use in primary health care program monitoring and evaluation. Simple, rapid tools can be used to evaluate routine data and facilitate the rapid identification of problem areas.
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spelling pubmed-31123902011-06-12 An assessment of routine primary care health information system data quality in Sofala Province, Mozambique Gimbel, Sarah Micek, Mark Lambdin, Barrot Lara, Joseph Karagianis, Marina Cuembelo, Fatima Gloyd, Stephen S Pfeiffer, James Sherr, Kenneth Popul Health Metr Research BACKGROUND: Primary health care is recognized as a main driver of equitable health service delivery. For it to function optimally, routine health information systems (HIS) are necessary to ensure adequate provision of health care and the development of appropriate health policies. Concerns about the quality of routine administrative data have undermined their use in resource-limited settings. This evaluation was designed to describe the availability, reliability, and validity of a sample of primary health care HIS data from nine health facilities across three districts in Sofala Province, Mozambique. HIS data were also compared with results from large community-based surveys. METHODOLOGY: We used a methodology similar to the Global Fund to Fight AIDS, Tuberculosis and Malaria data verification bottom-up audit to assess primary health care HIS data availability and reliability. The quality of HIS data was validated by comparing three key indicators (antenatal care, institutional birth, and third diptheria, pertussis, and tetanus [DPT] immunization) with population-level surveys over time. RESULTS AND DISCUSSION: The data concordance from facility clinical registries to monthly facility reports on five key indicators--the number of first antenatal care visits, institutional births, third DPT immunization, HIV testing, and outpatient consults--was good (80%). When two sites were excluded from the analysis, the concordance was markedly better (92%). Of monthly facility reports for immunization and maternity services, 98% were available in paper form at district health departments and 98% of immunization and maternity services monthly facility reports matched the Ministry of Health electronic database. Population-level health survey and HIS data were strongly correlated (R = 0.73), for institutional birth, first antenatal care visit, and third DPT immunization. CONCLUSIONS: Our results suggest that in this setting, HIS data are both reliable and consistent, supporting their use in primary health care program monitoring and evaluation. Simple, rapid tools can be used to evaluate routine data and facilitate the rapid identification of problem areas. BioMed Central 2011-05-13 /pmc/articles/PMC3112390/ /pubmed/21569533 http://dx.doi.org/10.1186/1478-7954-9-12 Text en Copyright ©2011 Gimbel et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Gimbel, Sarah
Micek, Mark
Lambdin, Barrot
Lara, Joseph
Karagianis, Marina
Cuembelo, Fatima
Gloyd, Stephen S
Pfeiffer, James
Sherr, Kenneth
An assessment of routine primary care health information system data quality in Sofala Province, Mozambique
title An assessment of routine primary care health information system data quality in Sofala Province, Mozambique
title_full An assessment of routine primary care health information system data quality in Sofala Province, Mozambique
title_fullStr An assessment of routine primary care health information system data quality in Sofala Province, Mozambique
title_full_unstemmed An assessment of routine primary care health information system data quality in Sofala Province, Mozambique
title_short An assessment of routine primary care health information system data quality in Sofala Province, Mozambique
title_sort assessment of routine primary care health information system data quality in sofala province, mozambique
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3112390/
https://www.ncbi.nlm.nih.gov/pubmed/21569533
http://dx.doi.org/10.1186/1478-7954-9-12
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