Evidence map›Paper›PMID 41069557›Full record

ArticleHealth SA = SA Gesondheid2025

Barriers to the implementation of electronic medical records in Northwest Ethiopia.

Asmamaw K Tsehay, Kholofelo L Matlhaba

Abstract read
In one paragraph

Article in Health SA = SA Gesondheid, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Asmamaw K TsehayDepartment of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.ORCID https://orcid.org/0000-0002-0056-0353
Kholofelo L MatlhabaDepartment of Health Studies, College of Human Sciences, University of South Africa, Pretoria, South Africa.ORCID https://orcid.org/0000-0002-3564-7344

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although electronic medical records (EMRs) have a significant impact on the health system, their development is in its infancy in Ethiopia because of factors that hinder the implementation of the system. Aim: This study aims to explore the barriers to the implementation of EMRs. Setting: The study setting was in Northwest Ethiopia. Methods: This study employed a phenomenological qualitative research design to explore the lived experiences of health workers. Purposive sampling was used to recruit eight participants from five different health facilities, each holding diverse professional roles. Data were collected through in-depth interviews, which were audio-recorded and subsequently transcribed verbatim. The qualitative data were managed and analysed using ATLAS.ti software, following a thematic approach. The analysis adhered to the seven-step framework outlined in Colaizzi's method. Results: A total of 24 codes, 10 subthemes and 4 major themes emerged from the analysis. Three of the major themes reflected challenges associated with EMRs, while one highlighted perceived benefits. The four major themes identified were software-related factors, system-related factors, institutional operational factors and benefits of EMRs. Conclusion: From the users' perspective, the study finally comprehended that lack of EMRs training, lack of comprehensiveness of the system, a lack of interoperability, power interruption, system slowdowns and absence of incentives and rewards were barriers to the implementation of the EMRs system. Contribution: This study helps to understand the key barriers to the implementation of EMRs, offering insights for addressing these challenges in future EMR adoption efforts.

Indexed as

barriersDigital Healthelectronic medical recordsEthiopiaimplementation

Identifiers

PMID41069557
PMCPMC12505396

What OpenQuestion holds

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Registered trials

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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.