Physicians' Attitude towards Electronic Medical Record Systems: An Input for Future Implementers.

Mulugeta Hayelom Kalayou, Berhanu Fikadie Endehabtu, Habtamu Alganeh Guadie, Zeleke Abebaw, Kassahun Dessie, Shekur Mohammed Awol, Nebyu Demeke Mengestie, Abraham Yeneneh, Binyam Tilahun
Author Information
  1. Mulugeta Hayelom Kalayou: Department of Health Informatics, Institute of Public Health, University of Gondar, Ethiopia. ORCID
  2. Berhanu Fikadie Endehabtu: Department of Health Informatics, Institute of Public Health, University of Gondar, Ethiopia. ORCID
  3. Habtamu Alganeh Guadie: Department of Health Informatics, Institute of Public Health, University of Gondar, Ethiopia. ORCID
  4. Zeleke Abebaw: Department of Health Informatics, Institute of Public Health, University of Gondar, Ethiopia. ORCID
  5. Kassahun Dessie: Department of Health Informatics, Institute of Public Health, University of Gondar, Ethiopia. ORCID
  6. Shekur Mohammed Awol: Department of Health Informatics, Institute of Public Health, University of Gondar, Ethiopia. ORCID
  7. Nebyu Demeke Mengestie: Department of Health Informatics, Institute of Public Health, University of Gondar, Ethiopia. ORCID
  8. Abraham Yeneneh: Department of Health Informatics, Institute of Public Health, University of Gondar, Ethiopia. ORCID
  9. Binyam Tilahun: Department of Health Informatics, Institute of Public Health, University of Gondar, Ethiopia. ORCID

Abstract

BACKGROUND: Electronic medical record (EMR) systems offer the potential to improve health care quality by allowing physicians real-time access to patient healthcare information. The endorsement and usage of EMRs by physicians have a significant influence on other user groups in the healthcare system. As a result, the purpose of this study was to examine physicians' attitudes regarding EMRs and identify the elements that may influence their attitudes.
METHOD: An institutional-based cross-sectional study design supplemented with a qualitative study was conducted from March 1 to April 30, 2018, among a total of 403 physicians. A self-administered questionnaire was used to collect quantitative data. The validity of the prediction bounds for the dependent variable and the validity of the confidence intervals and values for the parameters were measured with a value of less than 0.05 and 95 percent of confidence interval. For the supplementary qualitative study, data were collected using semistructured in-depth interviews from 11 key informants, and the data were analyzed using thematic analysis.
RESULT: Physicians' computer literacy (CI: 0.264, 0.713; : 0001) and computer access at work (CI: 0.141, 0.533, : 0.001) were shown to be favorable predictors of their attitude towards EMR system adoption. Another conclusion from this study was the inverse relationship between physicians' prior EMR experience and their attitude about the system (CI: -0.517, -0.121; : 0.002).
CONCLUSION: According to the findings of this study, physicians' attitudes regarding EMR were found moderate in the studied region. There was a favorable relationship between computer ownership, computer literacy, lack of EMR experience, participation in EMR training, and attitude towards EMR. Improving the aforementioned elements is critical to improving physicians' attitudes regarding EMR.

References

  1. JMIR Hum Factors. 2015 Mar 26;2(1):e4 [PMID: 27025996]
  2. Health Inf Manag. 2019 May;48(2):62-75 [PMID: 29898604]
  3. BMC Med Inform Decis Mak. 2014 Apr 29;14:35 [PMID: 24774008]
  4. Avicenna J Med. 2015 Jan-Mar;5(1):1-5 [PMID: 25625082]
  5. Proc AMIA Symp. 2001;:528-32 [PMID: 11825244]
  6. Scand J Prim Health Care. 2019 Mar;37(1):41-52 [PMID: 30732519]
  7. J Biomed Inform. 2015 Feb;53:174-9 [PMID: 25445481]
  8. BMC Med Inform Decis Mak. 2015 Apr 14;15:27 [PMID: 25888991]
  9. J Perianesth Nurs. 2019 Jun;34(3):614-621 [PMID: 30600135]
  10. Mayo Clin Proc. 2020 Mar;95(3):476-487 [PMID: 31735343]
  11. Int J Med Inform. 2015 Jan;84(1):36-47 [PMID: 25288192]
  12. Appl Clin Inform. 2014 Aug 13;5(3):721-30 [PMID: 25298812]
  13. J Health Organ Manag. 2016 Sep 19;30(6):985-1008 [PMID: 27681029]
  14. BMC Med Inform Decis Mak. 2014 Dec 12;14:115 [PMID: 25495757]
  15. Int J Med Inform. 2018 Feb;110:98-107 [PMID: 29331259]
  16. Int J Med Inform. 2017 Jun;102:50-61 [PMID: 28495348]
  17. Stud Health Technol Inform. 2014;205:246-50 [PMID: 25160183]
  18. Arch Physiother. 2019 Oct 22;9:10 [PMID: 31660205]
  19. J Am Med Inform Assoc. 2015 Mar;22(2):479-88 [PMID: 25769683]
  20. J Med Internet Res. 2011 Aug 12;13(3):e57 [PMID: 21840835]
  21. Int J Med Inform. 2014 Nov;83(11):779-96 [PMID: 25085286]
  22. Int J Med Inform. 2014 Aug;83(8):548-58 [PMID: 24969270]
  23. Ethiop J Health Sci. 2018 Sep;28(5):589-598 [PMID: 30607074]
  24. J Med Syst. 2017 May;41(5):75 [PMID: 28324321]
  25. Nurse Educ Today. 2016 Jan;36:370-4 [PMID: 26455411]
  26. Comput Methods Programs Biomed. 2019 Feb;169:51-57 [PMID: 30638591]
  27. Health Informatics J. 2017 Apr 1;:1460458217704244 [PMID: 28434279]
  28. Online J Public Health Inform. 2018 Sep 21;10(2):e211 [PMID: 30349629]
  29. Inform Health Soc Care. 2014 Jan;39(1):15-32 [PMID: 24131449]
  30. Glob Health Action. 2014 Oct 27;7:24534 [PMID: 25361721]
  31. Risk Manag Healthc Policy. 2016 Dec 07;9:285-295 [PMID: 27994491]
  32. JMIR Med Inform. 2015 May 25;3(2):e22 [PMID: 26007237]
  33. BMC Med Inform Decis Mak. 2016 Jan 16;16:3 [PMID: 26772169]
  34. Int J Med Inform. 2018 Apr;112:131-136 [PMID: 29500010]

MeSH Term

Adult
Attitude of Health Personnel
Computer Systems
Cross-Sectional Studies
Electronic Health Records
Ethiopia
Female
Humans
Male
Physicians
Surveys and Questionnaires

Word Cloud

Created with Highcharts 10.0.0EMR0studyphysicians'attitudescomputerphysicianssystemregardingdataCI::attitudetowardsElectronicaccesshealthcareEMRsinfluenceelementsqualitativevalidityconfidenceusingPhysicians'literacyfavorablerelationshipexperience-0BACKGROUND:medicalrecordsystemsofferpotentialimprovehealthcarequalityallowingreal-timepatientinformationendorsementusagesignificantusergroupsresultpurposeexamineidentifymayMETHOD:institutional-basedcross-sectionaldesignsupplementedconductedMarch1April302018amongtotal403self-administeredquestionnaireusedcollectquantitativepredictionboundsdependentvariableintervalsvaluesparametersmeasuredvalueless0595percentintervalsupplementarycollectedsemistructuredin-depthinterviews11keyinformantsanalyzedthematicanalysisRESULT:2647130001work141533001shownpredictorsadoptionAnotherconclusioninverseprior517121002CONCLUSION:AccordingfindingsfoundmoderatestudiedregionownershiplackparticipationtrainingImprovingaforementionedcriticalimprovingAttitudeMedicalRecordSystems:InputFutureImplementers

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