Assessment of Routine Health information utilization and associated factors among public Health centers in Addis Ababa, Ethiopia, 2020.

dc.contributor.advisorDr.Addise, Mesfin (MD, MPH)
dc.contributor.advisorYilma, Mengistu (MPH)
dc.contributor.authorSebsbie, Alem
dc.date.accessioned2021-08-15T09:55:16Z
dc.date.accessioned2023-11-05T14:40:19Z
dc.date.available2021-08-15T09:55:16Z
dc.date.available2023-11-05T14:40:19Z
dc.date.issued2021-04
dc.description.abstractBackground: - The health management information system produces data about health service provision and population health status to inform decision making and program planning at all levels of the health system. Like other developing countries, the practice of utilizing health information is low in Ethiopia especially at the local level. Lack of adequate and up-to-date information regarding routine health information utilization in Addis Ababa led to this study. Objectives:-To assess routine health information utilization and associated factors in public health centers in Addis Ababa. Methods: - An institution based cross-sectional study using quantitative method was conducted in randomly selected 49 public health centers found in Addis Ababa from August-September, 2020. To collect data, 441 health managers were selected using simple random sampling technique. Self-administered structured questioner was used to collect data. EPI-info version 7 and SPSS version 20 software were used for data entry and analysis respectively. Binary logistic regression model was used to identify factors that have significant association with routine health information utilization. Variables with p-value less than 0.2 in bi-variable analysis were selected and exported in to multi-variable analysis. Finally p-value less than 0.05 at 95% confidence interval was used to determine the level of significance. Results: - A total of 416 study participants involved in the study and a response rate of 94% was achieved. The study revealed that routine health information utilization among health managers was 66.6%. Use of computer software for data analysis (AOR = 3.76, 95% CI; 1.84 - 7.65, p<0.001), having training on data analysis and interpretation (AOR = 3.03, 95% CI; 1.31 – 6.99, p=0.009), receiving feedback of supervisory visits from higher levels (AOR = 3.07, 95% CI; 1.34 - 7.02, p = 0.008) and good culture of information utilization (AOR = 2.16, 95% CI, 1.114.21, p = 0.024) were significantly associated with routine health information utilization. Conclusion and recommendations: - Routine health information utilization was found to be low compared to the national expectation level. Promoting use of computer software for data analysis, training of health professionals on data analysis and interpretation, providing regular supportive supervision along with written feedback and improving promotion of culture of information are highly recommended to improve routine health information utilization.en_US
dc.identifier.urihttp://etd.aau.edu.et/handle/123456789/27676
dc.language.isoen_USen_US
dc.publisherAddis Abeba Universityen_US
dc.subjectHealth information,utilization,public Healthen_US
dc.titleAssessment of Routine Health information utilization and associated factors among public Health centers in Addis Ababa, Ethiopia, 2020.en_US
dc.typeThesisen_US

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