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Health workers with good self-perceived competency have lower actual competency levels on HIS in Eastern Ethiopia: A cross-sectional study
Admas, Abera; Biruk, Shalmeno; Birhanu Weldesenbet, Adisu; Tilahun, Shiferaw; Abebe, Tolera; Alemayehu, Girma; Mohammed, Rania; Mohammed, Ahmed; Yadeta, Dessie.
  • Admas, Abera; School of Public Health, College of Health and Medical Sciences, Haramaya University. Haramaya. ET
  • Biruk, Shalmeno; School of Public Health, College of Health and Medical Sciences, Haramaya University. Haramaya. ET
  • Birhanu Weldesenbet, Adisu; School of Public Health, College of Health and Medical Sciences, Haramaya University. Haramaya. ET
  • Tilahun, Shiferaw; Department of Information Sciences, College of Computing and Informatics, Haramaya University. Haramaya. ET
  • Abebe, Tolera; School of Public Health, College of Health and Medical Sciences, Haramaya University. Haramaya. ET
  • Alemayehu, Girma; Plan, Monitoring and Evaluation Directorate, Dire Dawa Administration Health Bureau, Dire Dawa. Dire Dawa. ET
  • Mohammed, Rania; Plan, Monitoring and Evaluation Directorate, Harari Regional Health Bureau, Hara. Harar. ET
  • Mohammed, Ahmed; Plan, Monitoring and Evaluation Directorate, Ministry of Health, Addis Ababa. Addis Ababa. ET
  • Yadeta, Dessie; School of Public Health, College of Health and Medical Sciences, Haramaya University. Haramaya. ET
Ethiop. j. health dev. (Online) ; 36(1): 1-11, 2022. tales, figures
Article in English | AIM | ID: biblio-1398513
Responsible library: CG1.1
ABSTRACT

Introduction:

Utilization of health information is critical to meeting service performance goals and for making informed decisions. However, in resource limited countries, health data is rarely used in decisions around program improvements. This study aimed to assess the determinants of competency levels for health workers who utilized data from health information systems in Eastern Ethiopia.

Methods:

A cross-sectional study was carried out from April -May 2021 at selected public health facilities in the Dire Dawacityand Harar regions. A total of 129 health professionals were included in the study and simple random sampling techniques were used to select health facilities. Data was collected using face-to-face interviews and competency levels were measured using a tool adapted from the Performance of Routine Information Systems Management (PRISM) framework. STATA version 16 was used for data analysis. A linear regression model was applied to determine the linear relationship between self-perceived competency and the actual competency levels of the healthcare workers.Adjusted beta (ß) along with a 95% confidence interval (CI) was used to measure the strength of the association with a p-value < 0.05.

Results:

The overall mean for the actual competency levels of health workers who utilized data was 20.45 [95% CI 16.71, 24.19]. Being head of a hospital/health center (ß 19.24, 95% CI 4.42, 34.06), perusing HIS training (ß 14.38, 95% CI 6.10, 22.67) and good perceived competency to perform RHIS tasks (ß -12.96, 95% CI -25.49, -0.43) were significantly associated with actual competency levels.

Conclusion:

The Health workers with high perceivedcompetency levels were found to have actual competency levels that were low. Health information systemfocused trainings were found to be positively associated with actual competency levels and being a hospital or health center head was found to be associated negatively to the actual competency levels of health workers. This research has found that providing health information system training for health workers could prove to be beneficial. There is also a need for initiatives aimed at enhancing competency in order to improve the health information systems related competency levels and data use.[Ethiop. J. Health Dev. 2022;36(SI-1)]
Subject(s)

Full text: Available Index: AIM (Africa) Main subject: Clinical Trials Data Monitoring Committees / Health Information Systems Type of study: Observational study / Prevalence study / Prognostic study / Qualitative research / Risk factors Limits: Humans Language: English Journal: Ethiop. j. health dev. (Online) Year: 2022 Type: Article Institution/Affiliation country: Department of Information Sciences, College of Computing and Informatics, Haramaya University/ET / Plan, Monitoring and Evaluation Directorate, Dire Dawa Administration Health Bureau, Dire Dawa/ET / Plan, Monitoring and Evaluation Directorate, Harari Regional Health Bureau, Hara/ET / Plan, Monitoring and Evaluation Directorate, Ministry of Health, Addis Ababa/ET / School of Public Health, College of Health and Medical Sciences, Haramaya University/ET

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Full text: Available Index: AIM (Africa) Main subject: Clinical Trials Data Monitoring Committees / Health Information Systems Type of study: Observational study / Prevalence study / Prognostic study / Qualitative research / Risk factors Limits: Humans Language: English Journal: Ethiop. j. health dev. (Online) Year: 2022 Type: Article Institution/Affiliation country: Department of Information Sciences, College of Computing and Informatics, Haramaya University/ET / Plan, Monitoring and Evaluation Directorate, Dire Dawa Administration Health Bureau, Dire Dawa/ET / Plan, Monitoring and Evaluation Directorate, Harari Regional Health Bureau, Hara/ET / Plan, Monitoring and Evaluation Directorate, Ministry of Health, Addis Ababa/ET / School of Public Health, College of Health and Medical Sciences, Haramaya University/ET