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Assessment of quality of routine health information system data and associated factors among departments in public health facilities of Harari region, Ethiopia

BACKGROUND: Despite the improvements in the knowledge and understanding of the role of health information in the global health system, the quality of data generated by a routine health information system is still very poor in low and middle-income countries. There is a paucity of studies as to what...

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Autores principales: Shama, Adisu Tafari, Roba, Hirbo Shore, Abaerei, Admas Abera, Gebremeskel, Teferi Gebru, Baraki, Negga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8524221/
https://www.ncbi.nlm.nih.gov/pubmed/34666753
http://dx.doi.org/10.1186/s12911-021-01651-2
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author Shama, Adisu Tafari
Roba, Hirbo Shore
Abaerei, Admas Abera
Gebremeskel, Teferi Gebru
Baraki, Negga
author_facet Shama, Adisu Tafari
Roba, Hirbo Shore
Abaerei, Admas Abera
Gebremeskel, Teferi Gebru
Baraki, Negga
author_sort Shama, Adisu Tafari
collection PubMed
description BACKGROUND: Despite the improvements in the knowledge and understanding of the role of health information in the global health system, the quality of data generated by a routine health information system is still very poor in low and middle-income countries. There is a paucity of studies as to what determines data quality in health facilities in the study area. Therefore, this study was aimed to assess the quality of routine health information system data and associated factors in public health facilities of Harari region, Ethiopia. METHODS: A cross-sectional study was conducted in all public health facilities in the Harari region of Ethiopia. The department-level data were collected from respective department heads through document reviews, interviews, and observation checklists. Descriptive statistics were used to data quality and multivariate logistic regression was run to identify factors influencing data quality. The level of significance was declared at P value < 0.05. RESULT: The study found good quality data in 51.35% (95% CI 44.6–58.1) of the departments in public health facilities in the Harari Region. Departments found in the health centers were 2.5 times more likely to have good quality data as compared to those found in the health posts. The presence of trained staffs able to fill reporting formats (AOR = 2.474; 95% CI 1.124–5.445) and provisions of feedbacks (AOR = 3.083; 95% CI 1.549–6.135) were also significantly associated with data quality. CONCLUSION: The level of good data quality in the public health facilities was less than the expected national level. Lack of trained personnel able to fill the reporting format and feedback were the factors that are found to be affecting data quality. Therefore, training should be provided to increase the knowledge and skills of the health workers. Regular supportive supervision and feedback should also be maintained. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-021-01651-2.
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spelling pubmed-85242212021-10-20 Assessment of quality of routine health information system data and associated factors among departments in public health facilities of Harari region, Ethiopia Shama, Adisu Tafari Roba, Hirbo Shore Abaerei, Admas Abera Gebremeskel, Teferi Gebru Baraki, Negga BMC Med Inform Decis Mak Research BACKGROUND: Despite the improvements in the knowledge and understanding of the role of health information in the global health system, the quality of data generated by a routine health information system is still very poor in low and middle-income countries. There is a paucity of studies as to what determines data quality in health facilities in the study area. Therefore, this study was aimed to assess the quality of routine health information system data and associated factors in public health facilities of Harari region, Ethiopia. METHODS: A cross-sectional study was conducted in all public health facilities in the Harari region of Ethiopia. The department-level data were collected from respective department heads through document reviews, interviews, and observation checklists. Descriptive statistics were used to data quality and multivariate logistic regression was run to identify factors influencing data quality. The level of significance was declared at P value < 0.05. RESULT: The study found good quality data in 51.35% (95% CI 44.6–58.1) of the departments in public health facilities in the Harari Region. Departments found in the health centers were 2.5 times more likely to have good quality data as compared to those found in the health posts. The presence of trained staffs able to fill reporting formats (AOR = 2.474; 95% CI 1.124–5.445) and provisions of feedbacks (AOR = 3.083; 95% CI 1.549–6.135) were also significantly associated with data quality. CONCLUSION: The level of good data quality in the public health facilities was less than the expected national level. Lack of trained personnel able to fill the reporting format and feedback were the factors that are found to be affecting data quality. Therefore, training should be provided to increase the knowledge and skills of the health workers. Regular supportive supervision and feedback should also be maintained. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-021-01651-2. BioMed Central 2021-10-19 /pmc/articles/PMC8524221/ /pubmed/34666753 http://dx.doi.org/10.1186/s12911-021-01651-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Shama, Adisu Tafari
Roba, Hirbo Shore
Abaerei, Admas Abera
Gebremeskel, Teferi Gebru
Baraki, Negga
Assessment of quality of routine health information system data and associated factors among departments in public health facilities of Harari region, Ethiopia
title Assessment of quality of routine health information system data and associated factors among departments in public health facilities of Harari region, Ethiopia
title_full Assessment of quality of routine health information system data and associated factors among departments in public health facilities of Harari region, Ethiopia
title_fullStr Assessment of quality of routine health information system data and associated factors among departments in public health facilities of Harari region, Ethiopia
title_full_unstemmed Assessment of quality of routine health information system data and associated factors among departments in public health facilities of Harari region, Ethiopia
title_short Assessment of quality of routine health information system data and associated factors among departments in public health facilities of Harari region, Ethiopia
title_sort assessment of quality of routine health information system data and associated factors among departments in public health facilities of harari region, ethiopia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8524221/
https://www.ncbi.nlm.nih.gov/pubmed/34666753
http://dx.doi.org/10.1186/s12911-021-01651-2
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