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Human resource capacity for information management in selected public healthcare facilities in Meru County, Kenya

INTRODUCTION: Reliable health information is essential for decision making in the healthcare system. Information management in Kenya was considered the weakest area under the Health Information System pillar mainly due to inadequate health workers capacity. The study therefore aimed at assessing hea...

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Autores principales: Kiilu, Elizabeth Mueke, Okero, Dominic Charles, Muiruri, Lillian, Owuondo, Pacific Akinyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The African Field Epidemiology Network 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4491484/
https://www.ncbi.nlm.nih.gov/pubmed/26175824
http://dx.doi.org/10.11604/pamj.2015.20.334.6052
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author Kiilu, Elizabeth Mueke
Okero, Dominic Charles
Muiruri, Lillian
Owuondo, Pacific Akinyi
author_facet Kiilu, Elizabeth Mueke
Okero, Dominic Charles
Muiruri, Lillian
Owuondo, Pacific Akinyi
author_sort Kiilu, Elizabeth Mueke
collection PubMed
description INTRODUCTION: Reliable health information is essential for decision making in the healthcare system. Information management in Kenya was considered the weakest area under the Health Information System pillar mainly due to inadequate health workers capacity. The study therefore aimed at assessing health workers skills and current training needs for information management in the selected healthcare facilities. METHODS: Cross-section research design was adopted and both purposive sampling technique and censuses were used to establish the study participants. Analysis was done using SPSS version 20 and results were presented in tables, charts and graphs. RESULTS: It was established that capacity building was usually undertaken through on-job trainings i.e. 85.1% (103) health workers had on-job training on filling of data collection tools and only 10% (13) had received formal classroom training on the same. Further, only 9.1% (11) health workers had received information management training while 90.9% (110) had not received such training. Health workers demonstrated below average skills on information management i.e. only 17.4% (21) could check for data accuracy, only 16.5% (20) could compute trends from bar charts and only 16.5% (20) could transform the data they collected into meaningful information for use. CONCLUSION: The researcher recommended that healthcare facilities management teams develop a competency based framework for defining the desired skill mix for information management and have a yearly Training Needs Assessment for assessing training needs for information management among the health workers.
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spelling pubmed-44914842015-07-14 Human resource capacity for information management in selected public healthcare facilities in Meru County, Kenya Kiilu, Elizabeth Mueke Okero, Dominic Charles Muiruri, Lillian Owuondo, Pacific Akinyi Pan Afr Med J Research INTRODUCTION: Reliable health information is essential for decision making in the healthcare system. Information management in Kenya was considered the weakest area under the Health Information System pillar mainly due to inadequate health workers capacity. The study therefore aimed at assessing health workers skills and current training needs for information management in the selected healthcare facilities. METHODS: Cross-section research design was adopted and both purposive sampling technique and censuses were used to establish the study participants. Analysis was done using SPSS version 20 and results were presented in tables, charts and graphs. RESULTS: It was established that capacity building was usually undertaken through on-job trainings i.e. 85.1% (103) health workers had on-job training on filling of data collection tools and only 10% (13) had received formal classroom training on the same. Further, only 9.1% (11) health workers had received information management training while 90.9% (110) had not received such training. Health workers demonstrated below average skills on information management i.e. only 17.4% (21) could check for data accuracy, only 16.5% (20) could compute trends from bar charts and only 16.5% (20) could transform the data they collected into meaningful information for use. CONCLUSION: The researcher recommended that healthcare facilities management teams develop a competency based framework for defining the desired skill mix for information management and have a yearly Training Needs Assessment for assessing training needs for information management among the health workers. The African Field Epidemiology Network 2015-04-07 /pmc/articles/PMC4491484/ /pubmed/26175824 http://dx.doi.org/10.11604/pamj.2015.20.334.6052 Text en © Elizabeth Mueke Kiilu et al. http://creativecommons.org/licenses/by/2.0/ The Pan African Medical Journal - ISSN 1937-8688. 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 Research
Kiilu, Elizabeth Mueke
Okero, Dominic Charles
Muiruri, Lillian
Owuondo, Pacific Akinyi
Human resource capacity for information management in selected public healthcare facilities in Meru County, Kenya
title Human resource capacity for information management in selected public healthcare facilities in Meru County, Kenya
title_full Human resource capacity for information management in selected public healthcare facilities in Meru County, Kenya
title_fullStr Human resource capacity for information management in selected public healthcare facilities in Meru County, Kenya
title_full_unstemmed Human resource capacity for information management in selected public healthcare facilities in Meru County, Kenya
title_short Human resource capacity for information management in selected public healthcare facilities in Meru County, Kenya
title_sort human resource capacity for information management in selected public healthcare facilities in meru county, kenya
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4491484/
https://www.ncbi.nlm.nih.gov/pubmed/26175824
http://dx.doi.org/10.11604/pamj.2015.20.334.6052
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