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Barriers and Associated Factors to the Use of Routine Health Information for Decision-Making Among Managers Working at Public Hospitals in North Shewa Zone of Oromia Regional State, Ethiopia: A Mixed-Method Study

BACKGROUND: Routine health information (RHI) systems are vital for the acquisition of data for health sector planning, monitoring, and evaluation, patient management, health education, resource allocation, disease prioritization, and decision-making. Use RHI for decision-making is low in Ethiopia. T...

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Detalles Bibliográficos
Autores principales: Tulu, Gemechu, Demie, Takele Gezahegn, Tessema, Tesfalem T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285226/
https://www.ncbi.nlm.nih.gov/pubmed/34285623
http://dx.doi.org/10.2147/JHL.S314833
Descripción
Sumario:BACKGROUND: Routine health information (RHI) systems are vital for the acquisition of data for health sector planning, monitoring, and evaluation, patient management, health education, resource allocation, disease prioritization, and decision-making. Use RHI for decision-making is low in Ethiopia. Thus, the study aimed to assess barriers and associated factors to the use of RHI among managers working at public hospitals in North Shewa, Ethiopia. METHODS: A facility-based mixed-method study was conducted from May to June 2020. A total of 102 randomly selected managers were included in the survey and six key informant interviews were done. Data were collected using a structured self-administered questionnaire and interview guide by trained data collectors. Data were entered into Epi-info version 7.1 and transferred into SPSS version 23 for further statistical analysis. Both bivariate and multivariable logistic regression analyses were performed. In the multiple logistic regression analysis, a less than 0.05 P-value was considered statistically significant. The odds ratio along with a 95% confidence interval was estimated to measure the strength of the association. Thematic analysis was done for key informant interview data. RESULTS: In this study, the level of RHI use for decision-making was 71.6% (95% CI: 61.8%, 79.4%). According to the multivariable logistic regression analysis, training on health information system (AOR = 0.28, 95% CI: 0.08–0.98) and supportive supervision (AOR = 0.27, 95% CI: 0.09–0.78) were found significantly associated with the use of RHI for decision-making. Moreover, the lack of staff motivation and computer and data analysis skills were the major reasons for not using RHI. CONCLUSION: Three-fourth of the managers working at public hospitals used RHI for decision-making. Training on health information systems and supportive supervision were factors associated with the use of RHI. Therefore, training of managers and the provision of supportive supervision were highly recommended.