Evidence map›Paper›PMID 39659403›Full record

ArticleDigital health

Barriers and facilitators of the electronic medical record adoption among healthcare providers in Addis Ababa, Ethiopia.

Tadesse Alemu Bekele, Lemma Derseh Gezie, Herman Willems, Jonathan Metzger, Biruhtesfa Abere, Blen Seyoum, Loko Abraham, Naod Wendrad, Selamawit Meressa, Bethel Desta and 1 more

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

11 authors.

Tadesse Alemu BekeleJSI Research and Training Institute Inc., Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0002-4649-7054
Lemma Derseh GezieUniversity of Gondar, Gondar, Amhara, Ethiopia.
Herman WillemsJSI Research and Training Institute Inc., Boston, MA, USA.
Jonathan MetzgerJSI Research and Training Institute Inc., Washington, DC, USA.
Biruhtesfa AbereJSI Research and Training Institute Inc., Addis Ababa, Ethiopia.
Blen SeyoumJSI Research and Training Institute Inc., Addis Ababa, Ethiopia.
Loko AbrahamJSI Research and Training Institute Inc., Addis Ababa, Ethiopia.
Naod WendradJSI Research and Training Institute Inc., Addis Ababa, Ethiopia.
Selamawit MeressaJSI Research and Training Institute Inc., Addis Ababa, Ethiopia.
Bethel DestaFikreselam General Hospital, Addis Ababa, Ethiopia.
Tariku Nigatu BogaleJSI Research and Training Institute Inc., Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: An electronic medical record (EMR) can enhance the quality of care and patient outcomes. Ethiopia started the implementation of EMR in 2013. However, its adoption among healthcare providers has been low. Thus, this study explored the barriers and facilitators of EMR adoption among healthcare providers in Addis Ababa, Ethiopia. Methods: A descriptive-phenomenological approach was used. Data were collected from one hospital and three health centers from 5-13 June, 2023, that implemented the EMR. A total of 25 EMR users (physicians, health officers, pharmacists, nurses, laboratory technologists, radiology technicians) were included in the key informant interviews. The interviews were audio-recorded, transcribed verbatim, translated to English, and exported to OpenCode 4.03 software for analysis. Thematic analysis was applied to analyze, summarize, and present the data. Results: Healthcare providers reported barriers operating at three levels: individual, technological, and organizational. Individual barriers included lack of digital literacy, technical knowledge, skill; motivation; and favorable attitude. Technological barriers included lack of infrastructure including computers, networks, and reliable power supply; and software-related challenges such as system downtime, lack of interoperability, comprehensiveness, and decision support systems; and system security and privacy concerns. Organizational barriers included poor quality of training, lack of follow-up, supervision and technical support; poor leadership commitment; lack of incentives and motivation; and staff turnover and workload. Perceived benefits of the system, such as ease of access to quality data, improved quality of care and work efficiency; availability of onsite technical support; presence of information technology supplies; and feedback from supervisors, were identified as facilitators of EMR adoption. Conclusion: The study identified different barriers and facilitators to the adoption of the EMR. The health system should prioritize strategies to address technological, individual, and organizational factors influencing the successful adoption of the EMR to support the delivery of quality care and improve patient outcomes.

Indexed as

adoptionBarrierselectronic medical recordsfacilitatorshealthcare provider

Identifiers

PMID39659403
PMCPMC11629419

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.