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Acceptability and use of the electronic community health information system and its determinants among health extension workers in Ethiopia: a retrospective cross-sectional observational study

Authors :
Tariku Nigatu Bogale
Herman Willems
Loko Abraham Bongassie
Yemariam Eyob
Chaluma Kumela Mengesha
Bantalem Yeshanew Yihun
Mesud Mohammed
Naod Wendrad
Gemechis Melkamu
Dawit Wolde Daka
Selamawit Meressa
Tadesse Alemu Bekele
Source :
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-10 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Background The electronic community health information system has been increasingly developed and deployed to quantify and support quality health service delivery by community health workers in Ethiopia. However, the success and failure of the electronic community health information system depend on the acceptability and use by its users. This study assessed the acceptability and use of the electronic community health information system and its determinants among health extension workers in Ethiopia. Methods A retrospective cross-sectional observational study was conducted among 587 randomly selected health extension workers from six regions of Ethiopia. The Revised Technology Acceptance Model was used as a theoretical framework for the study. Descriptive statistics, structural equation modeling, and principal component analysis techniques were used to analyze the data. For all significance tests, multiple comparison adjustments were made using the Bonferroni Correction Method. Results There was near universal acceptance of the electronic community health information system, ranging from 94.4 to 97.4% among health extension workers. However, actual use of the system was considerably lower, at 50%. Perceived usefulness of the electronic community health information system had a direct and positive effect on acceptability (β3 = 0.415, p

Details

Language :
English
ISSN :
14726947
Volume :
23
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Medical Informatics and Decision Making
Publication Type :
Academic Journal
Accession number :
edsdoj.32a4ffafdbcf4a9c8744a540ae814f30
Document Type :
article
Full Text :
https://doi.org/10.1186/s12911-023-02385-z