Evidence map›Paper›PMID 34556994›Full record

ReviewJournal of multidisciplinary healthcare2021

Barriers to the Adoption of Electronic Medical Record System in Ethiopia: A Systematic Review.

Delelegn Emwodew Yehualashet, Binyam Tariku Seboka, Getanew Aschalew Tesfa, Abel Desalegn Demeke, Endris Seid Amede

Open access · goldAbstract readReview
In one paragraph

Review in Journal of multidisciplinary healthcare, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
9.9field-weighted citation impact, top 2% of its field
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Review
  20. 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

5 authors at 1 institution in 1 country.

Delelegn Emwodew YehualashetDepartment of Health Informatics, Dilla University, Dilla, Gedeo, Ethiopia.ORCID 0000-0001-9899-555X
Binyam Tariku SebokaDepartment of Health Informatics, Dilla University, Dilla, Gedeo, Ethiopia.ORCID 0000-0002-8309-5986
Getanew Aschalew TesfaDepartment of Health Informatics, Dilla University, Dilla, Gedeo, Ethiopia.ORCID 0000-0003-2115-1337
Abel Desalegn DemekeDepartment of Nursing, Dilla University, Dilla, Gedeo, Ethiopia.
Endris Seid AmedeDepartment of Psychiatry, Dilla University, Dilla, Gedeo, Ethiopia.
Dilla University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic medical records (EMRs) can improve the quality of health care and patient safety. Various countries have gone through the local application of EMRs to various health care organizations in national implementation and integration of EMRs. Ethiopia lags far in the back in this regard, as solely some hospitals have implemented EMR.

objectiveThis study aimed to identify barriers to the adoption of EMRs in Ethiopia through a systematic review of the literature.

methodsPubMed, Semantic Scholar, and Google Scholar have been searched for applicable articles. The search method focuses on peer-reviewed, empirical research conducted in Ethiopia. The ultimate set that met the inclusion standards was 9 studies. The authors extracted, analyzed, and summarized empirical results associated with EMR barriers in these studies.

resultsThis systematic review identified the following 17 barriers to EMR adoption: absence of EMR training, limited access to computers, insufficient computer literacy, deficiency of EMR knowledge, inadequate technical help, absence of EMR manual, negative attitude to EMR, limited internet access, lack of management support, electric power interruption, absence of perceived system quality, absence of perceived information quality, lack of willingness, the complexity of the system, performance expectancy, effort expectancy, and lack of IT qualification.

conclusionThe most common barriers for EMR adoption are absence of EMR training, limited access to a computer, poor computer literacy, poor EMR knowledge, lack of technical support, and absence of an EMR manual. As this study summarizes the available evidence regarding barriers to adopting EMR in Ethiopia, future research will rest on this evidence and specialize in building a proper framework for EMR implementation in Ethiopia.

Indexed as

adoptionbarrierselectronic health recordelectronic medical recordEthiopiasystematic review

Identifiers

PMID34556994
PMCPMC8455291
OpenAlexW3199168767

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.