Evidence map›Paper›PMID 32110135›Full record

ArticleAdvances in medical education and practice2020

Health Professionals' Readiness and Its Associated Factors to Implement Electronic Medical Record System in Four Selected Primary Hospitals in Ethiopia.

Shekur Mohammed Awol, Abreham Yeneneh Birhanu, Zeleke Abebaw Mekonnen, Kassahun Dessie Gashu, Atsede Mazengia Shiferaw, Berhanu Fikadie Endehabtu, Mulugeta Haylom Kalayou, Habtamu Alganeh Guadie, Binyam Tilahun

Abstract read
In one paragraph

Article in Advances in medical education and practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  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. Article
  18. Article
  19. Article
  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

9 authors.

Shekur Mohammed AwolDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Abreham Yeneneh BirhanuDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Zeleke Abebaw MekonnenDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Kassahun Dessie GashuDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID 0000-0002-7812-3743
Atsede Mazengia ShiferawDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Berhanu Fikadie EndehabtuDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID 0000-0001-7117-6407
Mulugeta Haylom KalayouDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Habtamu Alganeh GuadieDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Binyam TilahunDepartment of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncorporating electronic medical record systems (EMRs) into the healthcare system is not only about modernizing the health system, but is about saving lives by facilitating communication and practicing evidence-based decision. Globally, more than 50% of EMR projects fail before they reach their target. Even though EMRs are an essential tool for health care, their adoption and utilization remains low in developing countries including Ethiopia.

objectiveThe aim of this study was to determine health professionals' readiness and associated factors toward the implementation of EMRs in four selected primary hospitals in Ethiopia.

methodsAn institutionbased cross-sectional study supplemented with a qualitative approach was conducted on 414 health professionals from March 2 to May 5, 2018 in four selected primary hospitals in Ethiopia. A self-administered questionnaire was used to collect the quantitative data and in-depth interviews were employed for the qualitative data. The data were analyzed using SPSS version 20 software. Descriptive statistics, bivariable, and multivariable logistic regression analyses were done. An adjusted odds ratio (AOR) with 95% CI was used to determine the association between the determinants and the outcome variable.

resultsMore than half (258; 62.3%) of health professionals were ready to use the electronic medical recording system. EMR knowledge (AOR = 2.64; 95% CI: [1.62, 4.29]), attitude (AOR = 1.63; 95% CI: [1.01, 2.63]), computer literacy (AOR = 3.30; 95% CI: [2.05, 5.31]), and EMR training (AOR = 3.63, ;5% CI: [1.69, 5.80]) were significantly associated with EMR readiness. CONCLUSION AND RECOMMENDATION: In general, the overall readiness of health professionals for EMR implementation was found to be low. Comprehensive packages of capacity-building are crucial to raise the level of knowledge, attitude, and computer skill among health workers.

Indexed as

electronic medical record systemEMR implementationEthiopiahealth professionalsreadiness

Identifiers

PMID32110135
PMCPMC7041609

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.