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Assessing the ability of health information systems in hospitals to support evidence-informed decisions in Kenya

BACKGROUND: Hospital management information systems (HMIS) is a key component of national health information systems (HIS), and actions required of hospital management to support information generation in Kenya are articulated in specific policy documents. We conducted an evaluation of core function...

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Autores principales: Kihuba, Elesban, Gathara, David, Mwinga, Stephen, Mulaku, Mercy, Kosgei, Rose, Mogoa, Wycliffe, Nyamai, Rachel, English, Mike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Co-Action Publishing 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4119289/
https://www.ncbi.nlm.nih.gov/pubmed/25084834
http://dx.doi.org/10.3402/gha.v7.24859
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author Kihuba, Elesban
Gathara, David
Mwinga, Stephen
Mulaku, Mercy
Kosgei, Rose
Mogoa, Wycliffe
Nyamai, Rachel
English, Mike
author_facet Kihuba, Elesban
Gathara, David
Mwinga, Stephen
Mulaku, Mercy
Kosgei, Rose
Mogoa, Wycliffe
Nyamai, Rachel
English, Mike
author_sort Kihuba, Elesban
collection PubMed
description BACKGROUND: Hospital management information systems (HMIS) is a key component of national health information systems (HIS), and actions required of hospital management to support information generation in Kenya are articulated in specific policy documents. We conducted an evaluation of core functions of data generation and reporting within hospitals in Kenya to facilitate interpretation of national reports and to provide guidance on key areas requiring improvement to support data use in decision making. DESIGN: The survey was a cross-sectional, cluster sample study conducted in 22 hospitals in Kenya. The statistical analysis was descriptive with adjustment for clustering. RESULTS: Most of the HMIS departments complied with formal guidance to develop departmental plans. However, only a few (3/22) had carried out a data quality audit in the 12 months prior to the survey. On average 3% (range 1–8%) of the total hospital income was allocated to the HMIS departments. About half of the records officer positions were filled and about half (13/22) of hospitals had implemented some form of electronic health record largely focused on improving patient billing and not linked to the district HIS. Completeness of manual patient registers varied, being 90% (95% CI 80.1–99.3%), 75.8% (95% CI 68.7–82.8%), and 58% (95% CI 50.4–65.1%) in maternal child health clinic, maternity, and pediatric wards, respectively. Vital events notification rates were low with 25.7, 42.6, and 71.3% of neonatal deaths, infant deaths, and live births recorded, respectively. Routine hospital reports suggested slight over-reporting of live births and under-reporting of fresh stillbirths and neonatal deaths. CONCLUSIONS: Study findings indicate that the HMIS does not deliver quality data. Significant constraints exist in data quality assurance, supervisory support, data infrastructure in respect to information and communications technology application, human resources, financial resources, and integration.
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spelling pubmed-41192892014-08-20 Assessing the ability of health information systems in hospitals to support evidence-informed decisions in Kenya Kihuba, Elesban Gathara, David Mwinga, Stephen Mulaku, Mercy Kosgei, Rose Mogoa, Wycliffe Nyamai, Rachel English, Mike Glob Health Action Original Article BACKGROUND: Hospital management information systems (HMIS) is a key component of national health information systems (HIS), and actions required of hospital management to support information generation in Kenya are articulated in specific policy documents. We conducted an evaluation of core functions of data generation and reporting within hospitals in Kenya to facilitate interpretation of national reports and to provide guidance on key areas requiring improvement to support data use in decision making. DESIGN: The survey was a cross-sectional, cluster sample study conducted in 22 hospitals in Kenya. The statistical analysis was descriptive with adjustment for clustering. RESULTS: Most of the HMIS departments complied with formal guidance to develop departmental plans. However, only a few (3/22) had carried out a data quality audit in the 12 months prior to the survey. On average 3% (range 1–8%) of the total hospital income was allocated to the HMIS departments. About half of the records officer positions were filled and about half (13/22) of hospitals had implemented some form of electronic health record largely focused on improving patient billing and not linked to the district HIS. Completeness of manual patient registers varied, being 90% (95% CI 80.1–99.3%), 75.8% (95% CI 68.7–82.8%), and 58% (95% CI 50.4–65.1%) in maternal child health clinic, maternity, and pediatric wards, respectively. Vital events notification rates were low with 25.7, 42.6, and 71.3% of neonatal deaths, infant deaths, and live births recorded, respectively. Routine hospital reports suggested slight over-reporting of live births and under-reporting of fresh stillbirths and neonatal deaths. CONCLUSIONS: Study findings indicate that the HMIS does not deliver quality data. Significant constraints exist in data quality assurance, supervisory support, data infrastructure in respect to information and communications technology application, human resources, financial resources, and integration. Co-Action Publishing 2014-07-31 /pmc/articles/PMC4119289/ /pubmed/25084834 http://dx.doi.org/10.3402/gha.v7.24859 Text en © 2014 Elesban Kihuba et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Kihuba, Elesban
Gathara, David
Mwinga, Stephen
Mulaku, Mercy
Kosgei, Rose
Mogoa, Wycliffe
Nyamai, Rachel
English, Mike
Assessing the ability of health information systems in hospitals to support evidence-informed decisions in Kenya
title Assessing the ability of health information systems in hospitals to support evidence-informed decisions in Kenya
title_full Assessing the ability of health information systems in hospitals to support evidence-informed decisions in Kenya
title_fullStr Assessing the ability of health information systems in hospitals to support evidence-informed decisions in Kenya
title_full_unstemmed Assessing the ability of health information systems in hospitals to support evidence-informed decisions in Kenya
title_short Assessing the ability of health information systems in hospitals to support evidence-informed decisions in Kenya
title_sort assessing the ability of health information systems in hospitals to support evidence-informed decisions in kenya
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4119289/
https://www.ncbi.nlm.nih.gov/pubmed/25084834
http://dx.doi.org/10.3402/gha.v7.24859
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