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Generating statistics from health facility data: the state of routine health information systems in Eastern and Southern Africa

Health facility data are a critical source of local and continuous health statistics. Countries have introduced web-based information systems that facilitate data management, analysis, use and visualisation of health facility data. Working with teams of Ministry of Health and country public health i...

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Autores principales: Maïga, Abdoulaye, Jiwani, Safia S, Mutua, Martin Kavao, Porth, Tyler Andrew, Taylor, Chelsea Maria, Asiki, Gershim, Melesse, Dessalegn Y, Day, Candy, Strong, Kathleen L, Faye, Cheikh Mbacké, Viswanathan, Kavitha, O’Neill, Kathryn Patricia, Amouzou, Agbessi, Pond, Bob S, Boerma, Ties
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6768347/
https://www.ncbi.nlm.nih.gov/pubmed/31637032
http://dx.doi.org/10.1136/bmjgh-2019-001849
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author Maïga, Abdoulaye
Jiwani, Safia S
Mutua, Martin Kavao
Porth, Tyler Andrew
Taylor, Chelsea Maria
Asiki, Gershim
Melesse, Dessalegn Y
Day, Candy
Strong, Kathleen L
Faye, Cheikh Mbacké
Viswanathan, Kavitha
O’Neill, Kathryn Patricia
Amouzou, Agbessi
Pond, Bob S
Boerma, Ties
author_facet Maïga, Abdoulaye
Jiwani, Safia S
Mutua, Martin Kavao
Porth, Tyler Andrew
Taylor, Chelsea Maria
Asiki, Gershim
Melesse, Dessalegn Y
Day, Candy
Strong, Kathleen L
Faye, Cheikh Mbacké
Viswanathan, Kavitha
O’Neill, Kathryn Patricia
Amouzou, Agbessi
Pond, Bob S
Boerma, Ties
author_sort Maïga, Abdoulaye
collection PubMed
description Health facility data are a critical source of local and continuous health statistics. Countries have introduced web-based information systems that facilitate data management, analysis, use and visualisation of health facility data. Working with teams of Ministry of Health and country public health institutions analysts from 14 countries in Eastern and Southern Africa, we explored data quality using national-level and subnational-level (mostly district) data for the period 2013–2017. The focus was on endline analysis where reported health facility and other data are compiled, assessed and adjusted for data quality, primarily to inform planning and assessments of progress and performance. The analyses showed that although completeness of reporting was generally high, there were persistent data quality issues that were common across the 14 countries, especially at the subnational level. These included the presence of extreme outliers, lack of consistency of the reported data over time and between indicators (such as vaccination and antenatal care), and challenges related to projected target populations, which are used as denominators in the computation of coverage statistics. Continuous efforts to improve recording and reporting of events by health facilities, systematic examination and reporting of data quality issues, feedback and communication mechanisms between programme managers, care providers and data officers, and transparent corrections and adjustments will be critical to improve the quality of health statistics generated from health facility data.
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spelling pubmed-67683472019-10-21 Generating statistics from health facility data: the state of routine health information systems in Eastern and Southern Africa Maïga, Abdoulaye Jiwani, Safia S Mutua, Martin Kavao Porth, Tyler Andrew Taylor, Chelsea Maria Asiki, Gershim Melesse, Dessalegn Y Day, Candy Strong, Kathleen L Faye, Cheikh Mbacké Viswanathan, Kavitha O’Neill, Kathryn Patricia Amouzou, Agbessi Pond, Bob S Boerma, Ties BMJ Glob Health Analysis Health facility data are a critical source of local and continuous health statistics. Countries have introduced web-based information systems that facilitate data management, analysis, use and visualisation of health facility data. Working with teams of Ministry of Health and country public health institutions analysts from 14 countries in Eastern and Southern Africa, we explored data quality using national-level and subnational-level (mostly district) data for the period 2013–2017. The focus was on endline analysis where reported health facility and other data are compiled, assessed and adjusted for data quality, primarily to inform planning and assessments of progress and performance. The analyses showed that although completeness of reporting was generally high, there were persistent data quality issues that were common across the 14 countries, especially at the subnational level. These included the presence of extreme outliers, lack of consistency of the reported data over time and between indicators (such as vaccination and antenatal care), and challenges related to projected target populations, which are used as denominators in the computation of coverage statistics. Continuous efforts to improve recording and reporting of events by health facilities, systematic examination and reporting of data quality issues, feedback and communication mechanisms between programme managers, care providers and data officers, and transparent corrections and adjustments will be critical to improve the quality of health statistics generated from health facility data. BMJ Publishing Group 2019-09-29 /pmc/articles/PMC6768347/ /pubmed/31637032 http://dx.doi.org/10.1136/bmjgh-2019-001849 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ. 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 Analysis
Maïga, Abdoulaye
Jiwani, Safia S
Mutua, Martin Kavao
Porth, Tyler Andrew
Taylor, Chelsea Maria
Asiki, Gershim
Melesse, Dessalegn Y
Day, Candy
Strong, Kathleen L
Faye, Cheikh Mbacké
Viswanathan, Kavitha
O’Neill, Kathryn Patricia
Amouzou, Agbessi
Pond, Bob S
Boerma, Ties
Generating statistics from health facility data: the state of routine health information systems in Eastern and Southern Africa
title Generating statistics from health facility data: the state of routine health information systems in Eastern and Southern Africa
title_full Generating statistics from health facility data: the state of routine health information systems in Eastern and Southern Africa
title_fullStr Generating statistics from health facility data: the state of routine health information systems in Eastern and Southern Africa
title_full_unstemmed Generating statistics from health facility data: the state of routine health information systems in Eastern and Southern Africa
title_short Generating statistics from health facility data: the state of routine health information systems in Eastern and Southern Africa
title_sort generating statistics from health facility data: the state of routine health information systems in eastern and southern africa
topic Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6768347/
https://www.ncbi.nlm.nih.gov/pubmed/31637032
http://dx.doi.org/10.1136/bmjgh-2019-001849
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