Evidence map›Paper›PMID 41843793›Full record

ArticleJMIR formative research2026

Electronic Medical Record Attitudes and Predictors of Adoption Among Ethiopian Health Professionals: Cross-Sectional Study.

Molawork Ayele Abebe, Besufekad Mulugeta Urgie, Girma Deshimo Lema, Mohammed Awol Yimam, Akine Eshete Abosetugn, Tadesse Mamo Dejene, Asmamaw Abera Kebede, Zenebe Abebe Gebreegziabher, Alemu Kibret Feleke, Deneke Ayele Abebe and 3 more

Abstract read
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Article in JMIR formative research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Molawork Ayele AbebeDepartment of Internal Medicine, School of Medicine, Debre Berhan University, Debre Berhan, Ethiopia.ORCID 0009-0002-1986-9016
Besufekad Mulugeta UrgieDepartment of Internal Medicine, School of Medicine, Debre Berhan University, Debre Berhan, Ethiopia.ORCID 0009-0000-5859-6909
Girma Deshimo LemaDepartment of Internal Medicine, School of Medicine, Debre Berhan University, Debre Berhan, Ethiopia.ORCID 0009-0001-5397-9326
Mohammed Awol YimamDepartment of Internal Medicine, School of Medicine, Debre Berhan University, Debre Berhan, Ethiopia.ORCID 0009-0005-1115-8465
Akine Eshete AbosetugnDepartment of Epidemiology and Biostatistics, School of Public Health, Debre Berhan University, Debre Berhan, Ethiopia.ORCID 0000-0001-5012-5336
Tadesse Mamo DejeneDepartment of Epidemiology and Biostatistics, School of Public Health, Debre Berhan University, Debre Berhan, Ethiopia.ORCID 0000-0001-7247-5193
Asmamaw Abera KebedeDepartment of Epidemiology and Biostatistics, School of Public Health, Debre Berhan University, Debre Berhan, Ethiopia.ORCID 0000-0002-6326-8974
Zenebe Abebe GebreegziabherDepartment of Epidemiology and Biostatistics, School of Public Health, Debre Berhan University, Debre Berhan, Ethiopia.ORCID 0000-0002-6756-0104
Alemu Kibret FelekeDepartment of Admin and Finance, Yekatit-12 Hospital Medical College, Addis Ababa, Ethiopia.ORCID 0009-0006-0904-6138
Deneke Ayele AbebeQuality and Innovation Directorate, Ministry of Health, Addis Ababa, Ethiopia.ORCID 0009-0000-0632-8363
Hajira Mohammed AminPulse Techs Software Design, Development, and Implementation Company, Addis Ababa, Ethiopia.ORCID 0009-0007-4456-7331
Alemu Basazin MingudeDepartment of Nursing, School of Nursing and Midwifery, Debre Berhan University, Debre Berhan, Ethiopia.ORCID 0000-0003-0369-8734
Zaki A SherifDepartment of Biochemistry & Molecular Biology, Howard University College of Medicine, 520 W Street NW, 3430 Adams Building, Washington DC, WA, 20059, United States, 1 202-806-3832.ORCID 0000-0002-1772-7041

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Electronic medical records (EMRs) are increasingly adopted globally to improve health care delivery, yet challenges remain in their acceptance, defined here as favorable attitudes toward their use among health professionals. Understanding factors influencing acceptance is critical for successful implementation. Objective: This study aimed to identify predictors (or factors) associated with favorable attitudes toward EMRs among health professionals in 3 Ethiopian hospitals. Methods: A cross-sectional study was conducted from January to March 2025 in 3 Ethiopian hospitals implementing EMRs. A systematic random sampling method was used to initially select 397 health professionals, and data were collected using a structured questionnaire. Multivariate logistic regression was employed to identify predictors of favorable attitudes toward EMRs. Results: Of the final 382 professionals, 198 (51.8%, 95% CI 0.43-0.53) showed favorable attitudes. Predictors of positive attitude included computer literacy (adjusted odds ratio [AOR] 2.66, 95% CI 1.16-6.09; P=.02), EMR training (AOR 2.87, 95% CI 1.80-4.56; P<.001), and age of 29 years or younger (AOR 3.05, 95% CI 1.58-5.9; P=.001). Conclusions: Improving computer literacy, providing refresher training, and strengthening management support are key strategies for enhancing health professionals' attitudes toward EMRs. Future research should explore qualitative insights into barriers and facilitators of EMR adoption.

Indexed as

Attitude of Health PersonnelAttitude to ComputersElectronic Health RecordsHealth PersonnelAdultCross-Sectional StudiesDigital HealthEthiopiaFemaleHumansLogistic ModelsMaleMiddle AgedSurveys and Questionnairesattitudecommunicationdeveloping countriesEHRelectronic health recordelectronic medical recordEMREMR implementationEthiopiahealth professionalspatient carepatient health informationpredictors

Identifiers

PMID41843793
PMCPMC12994757

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.