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Routine health information system utilization and factors associated thereof among health workers at government health institutions in East Gojjam Zone, Northwest Ethiopia.
Shiferaw, Atsede Mazengia; Zegeye, Dessalegn Tegabu; Assefa, Solomon; Yenit, Melaku Kindie.
Afiliação
  • Shiferaw AM; Department of Health Informatics, University of Gondar, P.o.box: 196, Gondar, Ethiopia. atsede.mazengia@yahoo.com.
  • Zegeye DT; Department of Health Informatics, University of Gondar, P.o.box: 196, Gondar, Ethiopia.
  • Assefa S; Department of Health Informatics, University of Gondar, P.o.box: 196, Gondar, Ethiopia.
  • Yenit MK; Department of Epidemiology and Biostatistics, University of Gondar, Gondar, Ethiopia.
BMC Med Inform Decis Mak ; 17(1): 116, 2017 Aug 07.
Article em En | MEDLINE | ID: mdl-28784115
ABSTRACT

BACKGROUND:

Using reliable information from routine health information systems over time is an important aid to improving health outcomes, tackling disparities, enhancing efficiency, and encouraging innovation. In Ethiopia, routine health information utilization for enhancing performance is poor among health workers, especially at the peripheral levels of health facilities. Therefore, this study aimed to assess routine health information system utilization and associated factors among health workers at government health institutions in East Gojjam Zone, Northwest Ethiopia.

METHODS:

An institution based cross-sectional study was conducted at government health institutions of East Gojjam Zone, Northwest Ethiopia from April to May, 2013. A total of 668 health workers were selected from government health institutions, using the cluster sampling technique. Data collected using a standard structured and self-administered questionnaire and an observational checklist were cleaned, coded, and entered into Epi-info version 3.5.3, and transferred into SPSS version 20 for further statistical analysis. Variables with a p-value of less than 0.05 at multiple logistic regression analysis were considered statistically significant factors for the utilization of routine health information systems.

RESULTS:

The study revealed that 45.8% of the health workers had a good level of routine health information utilization. HMIS training [AOR = 2.72, 95% CI 1.60, 4.62], good data analysis skills [AOR = 6.40, 95%CI 3.93, 10.37], supervision [AOR = 2.60, 95% CI 1.42, 4.75], regular feedback [AOR = 2.20, 95% CI 1.38, 3.51], and favorable attitude towards health information utilization [AOR = 2.85, 95% CI 1.78, 4.54] were found significantly associated with a good level of routine health information utilization.

CONCLUSION:

More than half of the health workers working at government health institutions of East Gojjam were poor health information users compared with the findings of others studies. HMIS training, data analysis skills, supervision, regular feedback, and favorable attitude were factors related to routine health information system utilization. Therefore, a comprehensive training, supportive supervision, and regular feedback are highly recommended for improving routine health information utilization among health workers at government health facilities.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pessoal de Saúde / Sistemas de Informação em Saúde / Instalações de Saúde Tipo de estudo: Observational_studies / Prevalence_studies / Qualitative_research / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País/Região como assunto: Africa Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Etiópia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pessoal de Saúde / Sistemas de Informação em Saúde / Instalações de Saúde Tipo de estudo: Observational_studies / Prevalence_studies / Qualitative_research / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País/Região como assunto: Africa Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Etiópia