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Utilization of Routine Health Information from Health Management Information System and Associated Factors Among Health Workers at Health Centers in Oromia Special Zone, Ethiopia: A Multilevel Analysis
INTRODUCTION: Health management information system is a building block for the health system. Even if using health facility data at all levels is critical, it is poorly practiced in developing countries. There is limited evidence about the utilization of routine health information from the health ma...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987307/ https://www.ncbi.nlm.nih.gov/pubmed/33776496 http://dx.doi.org/10.2147/RMHP.S285604 |
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author | Seid, Mohammed Ahmed Bayou, Negalign Berhanu Ayele, Fanos Yeshanew Zerga, Aregash Abebayehu |
author_facet | Seid, Mohammed Ahmed Bayou, Negalign Berhanu Ayele, Fanos Yeshanew Zerga, Aregash Abebayehu |
author_sort | Seid, Mohammed Ahmed |
collection | PubMed |
description | INTRODUCTION: Health management information system is a building block for the health system. Even if using health facility data at all levels is critical, it is poorly practiced in developing countries. There is limited evidence about the utilization of routine health information from the health management information system in the study area. This study aimed to assess the utilization of routine health information from health management information system and associated factors among health professionals at health centers in Oromia special zone, Amhara region, Ethiopia. METHODS: A facility-based cross-sectional study was conducted from February to March 2019. A total of 369 health professionals who were the focal person for each service delivery point were taken from the selected health centers. The data analysis was done using STATA version 14. A multilevel mixed-effect logistic regression model was carried out to identify factors associated with utilization of routine health information from the health management information system. Adjusted odds ratio with 95% CI was reported to show the strength of association. A P-value of <0.05 was used to declare statistical significance. RESULTS: The magnitude of good routine health information utilization among health care professionals was 52.8%. Training (AOR=2.40, 95% CI=1.35, 4.26), availability of standard indicator definition (AOR=2.01, 95% CI=1.13, 3.57), data analysis skills (AOR=2.59, 95% CI=1.45, 4.62), regular feedback (AOR=2.29, 95% CI=1.29, 4.05), performance evaluation (AOR=2.60, 95% CI=1.19, 5.68) and timely reporting (AOR=2.89, 95% CI=1.54, 5.42) were significantly associated with routine health information utilization. CONCLUSION: The overall utilization of routine health information from the health management information system was low. Therefore, the Zone health department and woreda health offices need to give training on HMIS data use, and avail standard indicator definition for all health care workers at all service delivery points. |
format | Online Article Text |
id | pubmed-7987307 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-79873072021-03-25 Utilization of Routine Health Information from Health Management Information System and Associated Factors Among Health Workers at Health Centers in Oromia Special Zone, Ethiopia: A Multilevel Analysis Seid, Mohammed Ahmed Bayou, Negalign Berhanu Ayele, Fanos Yeshanew Zerga, Aregash Abebayehu Risk Manag Healthc Policy Original Research INTRODUCTION: Health management information system is a building block for the health system. Even if using health facility data at all levels is critical, it is poorly practiced in developing countries. There is limited evidence about the utilization of routine health information from the health management information system in the study area. This study aimed to assess the utilization of routine health information from health management information system and associated factors among health professionals at health centers in Oromia special zone, Amhara region, Ethiopia. METHODS: A facility-based cross-sectional study was conducted from February to March 2019. A total of 369 health professionals who were the focal person for each service delivery point were taken from the selected health centers. The data analysis was done using STATA version 14. A multilevel mixed-effect logistic regression model was carried out to identify factors associated with utilization of routine health information from the health management information system. Adjusted odds ratio with 95% CI was reported to show the strength of association. A P-value of <0.05 was used to declare statistical significance. RESULTS: The magnitude of good routine health information utilization among health care professionals was 52.8%. Training (AOR=2.40, 95% CI=1.35, 4.26), availability of standard indicator definition (AOR=2.01, 95% CI=1.13, 3.57), data analysis skills (AOR=2.59, 95% CI=1.45, 4.62), regular feedback (AOR=2.29, 95% CI=1.29, 4.05), performance evaluation (AOR=2.60, 95% CI=1.19, 5.68) and timely reporting (AOR=2.89, 95% CI=1.54, 5.42) were significantly associated with routine health information utilization. CONCLUSION: The overall utilization of routine health information from the health management information system was low. Therefore, the Zone health department and woreda health offices need to give training on HMIS data use, and avail standard indicator definition for all health care workers at all service delivery points. Dove 2021-03-18 /pmc/articles/PMC7987307/ /pubmed/33776496 http://dx.doi.org/10.2147/RMHP.S285604 Text en © 2021 Seid et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Seid, Mohammed Ahmed Bayou, Negalign Berhanu Ayele, Fanos Yeshanew Zerga, Aregash Abebayehu Utilization of Routine Health Information from Health Management Information System and Associated Factors Among Health Workers at Health Centers in Oromia Special Zone, Ethiopia: A Multilevel Analysis |
title | Utilization of Routine Health Information from Health Management Information System and Associated Factors Among Health Workers at Health Centers in Oromia Special Zone, Ethiopia: A Multilevel Analysis |
title_full | Utilization of Routine Health Information from Health Management Information System and Associated Factors Among Health Workers at Health Centers in Oromia Special Zone, Ethiopia: A Multilevel Analysis |
title_fullStr | Utilization of Routine Health Information from Health Management Information System and Associated Factors Among Health Workers at Health Centers in Oromia Special Zone, Ethiopia: A Multilevel Analysis |
title_full_unstemmed | Utilization of Routine Health Information from Health Management Information System and Associated Factors Among Health Workers at Health Centers in Oromia Special Zone, Ethiopia: A Multilevel Analysis |
title_short | Utilization of Routine Health Information from Health Management Information System and Associated Factors Among Health Workers at Health Centers in Oromia Special Zone, Ethiopia: A Multilevel Analysis |
title_sort | utilization of routine health information from health management information system and associated factors among health workers at health centers in oromia special zone, ethiopia: a multilevel analysis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7987307/ https://www.ncbi.nlm.nih.gov/pubmed/33776496 http://dx.doi.org/10.2147/RMHP.S285604 |
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