Journal of Education and Health Promotion

The effects of simulation training on learning of health information systems: A scoping review

Authors

. Ehsan Nabovati 1
. Fatemeh Rangraz Jeddi 1
. Faeze Ghaffari 2
. Fakhrosadat Mirhoseini 3

1 Health Information Management Research Center, School of Allied Health Professions, Kashan University of Medical Sciences, Kashan, Iran Department of Health Information Management and Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Kashan, Iran

2 Department of Health Information Management and Technology, School of Allied Health Professions, Kashan University of Medical Sciences, Kashan, Iran Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran

3 Trauma Research Center and Educational Development Center, School of Allied Medical Sciences Anaesthesia Department, Kashan University of Medical Sciences, Kashan, Iran

Abstract
One of the most commonly used methods for training is simulation. It is important to examine the
effects of simulation training of health information systems on the knowledge, attitude, and skill in
trainees. This review provided a summary of relevant literature on how simulation training affects
the learning of health information systems and determine the features and functional capabilities
of existing simulators. Studies and websites using simulation training to teach health information
systems were included. Studies were searched through Medline (via PubMed), Scopus, and ISI Web
of Science and websites through Google search by the end of 2019. The characteristics of studies,
features, and functional capabilities of simulators and effects on learning outcomes were extracted.
The included studies and websites were categorized according to different characteristics including
simulation types, learning outcome categories, and the effects of simulation training on learning
outcomes. The learning outcomes were categorized into four groups: knowledge, attitude, skill, and
satisfaction. The effects of interventions on outcomes were categorized into statistically significant
positive, positive without statistical argument, no effect (not statistically significant), negative without
statistical argument, or statistically significant negative. Ten studies and eight websites that used
simulation training to teach health information systems (mainly electronic health record [EHR])
were included. EHR simulation was performed in 80% of the included studies and trainees in 70%
of studies were physicians and nurses. All studies were conducted in three developed countries. In
the included studies, four learning outcomes (i.e. skill, attitude, knowledge, and satisfaction) were
assessed. Ninety percent of the included studies assessed skill‑related outcomes, with more than half
mentioning significant improvement. Thirty percent of the included studies assessed outcomes‑related
knowledge and attitude, all of which reported the positive effects of simulation training. The simulators
offered a variety of functional capabilities, while all of which simulated the clinical data entry process.
In teaching health information systems, especially EHRs, simulation training enhances skill, attitude,
knowledge, and satisfaction of health‑care providers and students.

Keywords

Computer user training
electronic health record
health information systems
simulation training
  1. Buntin MB, Burke MF, Hoaglin MC, Blumenthal D. The benefits
    of health information technology: A review of the recent literature
    shows predominantly positive results. Health Aff (Millwood)
    2011;30:464‑71.
    2. Chaudhry B, Wang J, Wu S, Maglione M, Mojica W, Roth E, et al.
    Systematic review: Impact of health information technology on
    quality, efficiency, and costs of medical care. Ann Intern Med
    2006;144:742‑52.
    3. Ash JS, Bates DW. Factors and forces affecting EHR system
    adoption: Report of a 2004 ACMI discussion. J Am Med Inform
    Assoc 2005;12:8‑12.
    4. Lorenzi NM, Kouroubali A, Detmer DE, Bloomrosen M. How to
    successfully select and implement electronic health records (EHR)
    in small ambulatory practice settings. BMC Med Inform Decis
    Mak 2009;9:15.
    5. McGinn CA, Grenier S, Duplantie J, Shaw N, Sicotte C, Mathieu L,
    et al. Comparison of user groups’ perspectives of barriers
    and facilitators to implementing electronic health records:
    A systematic review. BMC Med 2011;9:46.
    6. Kirshner M, Salomon H, Chin H. An evaluation of one-on‑one
    advanced proficiency training in clinicians’ use of computer
    information systems. Int J Med Inform 2004;73:341‑8.
    7. Okuda Y, Bryson EO, DeMaria S Jr., Jacobson L, Quinones J,
    Shen B, et al. The utility of simulation in medical education: What
    is the evidence? Mt Sinai J Med 2009;76:330‑43.
    8. Shachak A, Elamrousy S, Borycki EM, Domb S, Kushniruk AW.
    Towards educational electronic health records (EHRs): A design
    process for integrating EHRs, simulation, and video tutorials.
    Stud Health Technol Inform 2016;228:624‑8.
    9. Gassert CA, Sward KA. Phase I implementation of an academic
    medical record for integrating information management
    competencies into a nursing curriculum. Stud Health Technol
    Inform 2007;129:1392‑5.
    10. Medley CF, Horne C. Using simulation technology for
    undergraduate nursing education. J Nurs Educ 2005;44:31‑4.
    11. Kordi M, Erfanian F, Fakari FR, Dastfan F, Nejad KS. The
    comparison the effect of training by means of simulation and oral
    method on midwives’ skill in management of shoulder dystocia.
    J Educ Health Promot 2017;6:50.
    12. Tabatabaeian M, Kordi M, Dadgar S, Esmaeily H, Khadivzadeh T.
    Comparing the effects of simulation‑based training, blended,
    and lecture on the simulated performance of midwives in
    preeclampsia and eclampsia. J Educ Health Promot 2018;7:110.
    13. Smith JN, Scholtz JM. Impact of a simulated electronic health
    record on pharmacy students’ perceptions of preparedness for
    clinical practice. Curr Pharm Teach Learn 2018;10:1624‑30.
    14. Haugen H. Advantages of simulation training. How to improve
    EMR adoption. Health Manag Technol 2012;33:10‑1.
    15. George NM, Drahnak DM, Schroeder DL, Katrancha ED.
    Enhancing prelicensure nursing students’ use of an electronic
    health record. Clin Simul Nurs 2016;12:152‑8.
  2. 16. Wilbanks BA, Watts PI, Epps CA. Electronic health records in
    simulation education: Literature review and synthesis. Simul
    Healthc 2018;13:261‑7.
    17. Sommerville I. Software Engineering. 9th ed. USA: Addison‑Wesley
    Publishing Company; 2010.
    18. Nabovati E, Vakili‑Arki H, Taherzadeh Z, Saberi MR, Medlock S,
    Abu‑Hanna A, et al. Information technology‑based interventions
    to improve drug‑drug interaction outcomes: A systematic review
    on features and effects. J Med Syst 2017;41:12.
    19. Coons JC, Kobulinsky L, Farkas D, Lutz J, Seybert AL. Virtual
    electronic health record technology with simulation‑based learning
    in an acute care pharmacotherapy course. Pharmacy (Basel)
    2018;6:123.
    20. Elliott K, Marks‑Maran D, Bach R. Teaching student nurses how
    to use electronic patient records through simulation: A case study.
    Nurse Educ Pract 2018;30:7‑12.
    21. Zoghbi V, Caskey RC, Dumon KR, Soegaard Ballester JM,
    Brooks AD, Morris JB, et al. “How To” videos improve residents
    performance of essential perioperative electronic medical records
    and clinical tasks. J Surg Educ 2018;75:489‑96.
    22. Shachak A, Domb S, Borycki E, Fong N, Skyrme A, Kushniruk A,
    et al. A pilot study of computer‑based simulation training for
    enhancing family medicine residents’ competence in computerized
    settings. Stud Health Technol Inform 2015;216:506‑10.
    23. Vuk J, Anders ME, Mercado CC, Kennedy RL, Casella J,
    Steelman SC. Impact of simulation training on self‑efficacy of
    outpatient health care providers to use electronic health records.
    Int J Med Inform 2015;84:423‑9.
    24. Rubbelke CS, Keenan SC, Haycraft LL. An interactive simulated
    electronic health record using Google Drive. Comput Inform Nurs
    2014;32:1‑6.
    25. Milano CE, Hardman JA, Plesiu A, Rdesinski RE, Biagioli FE.
    Simulated electronic health record (Sim‑EHR) curriculum:
    Teaching EHR skills and use of the EHR for disease management
    and prevention. Acad Med 2014;89:399‑403.
    26. Borycki EM, Griffith J, Reid P, Kuo MH, Kushniruk AW. Do
    electronic health records help undergraduate students develop
    health informatics competencies? Stud Health Technol Inform
    2014;205:838‑42.
    27. WanekaR, SpetzJ. Hospital information technology systems’ impact
    on nurses and nursing care. J Nurs Adm 2010;40:509‑14.
    28. Cronenwett L, Sherwood G, Barnsteiner J, Disch J, Johnson J,
    Mitchell P, et al. Quality and safety education for nurses. Nurs
    Outlook 2007;55:122‑31.
    29. Furst CM, Finto D, Malouf‑Todaro N, Moore C, Orr D, Santos J,
    et al. Changing times: Enhancing clinical practice through
    evolving technology. Medsurg Nurs 2013;22:131‑4.
    30. Blumenthal D, Tavenner M. The “meaningful use” regulation for
    electronic health records. N Engl J Med 2010;363:501‑4.
    31. Ward R, Stevens C, Brentnall P, Briddon J. The attitudes of health
    care staff to information technology: A comprehensive review of
    the research literature. Health Info Libr J 2008;25:81‑97.
    32. Raddaha AA, Obeidat AA, Awaisi HA, Hayudini J. Opinions,
    perceptions and attitudes toward an electronic health record
    system among practicing nurses. J Nurs Educ Pract 2017;8:12.
    33. Cato J, Abbott P. Collaborating for a cause – Creating partnerships
    between IT and academia. Stud Health Technol Inform
    2006;122:1014‑5.
    34. Murphy J. The journey to meaningful use of electronic health
    records. Nurs Econ 2010;28:283‑6.
    35. Kushniruk AW, Triola MM, Borycki EM, Stein B, Kannry JL.
    Technology induced error and usability: The relationship between
    usability problems and prescription errors when using a handheld
    application. Int J Med Inform 2005;74:519‑26.
    36. Cherry BJ, Ford EW, Peterson LT. Experiences with electronic
    health records: Early adopters in long‑term care facilities. Health
    Care Manage Rev 2011;36:265‑74.
    37. Adler‑Milstein J, Holmgren AJ, Kralovec P, Worzala C, Searcy T,
    Patel V. Electronic health record adoption in US hospitals: The
    emergence of a digital “advanced use” divide. J Am Med Inform
    Assoc 2017;24:1142‑8.
    38. Jha AK, Bates DW, Jenter C, Orav EJ, Zheng J, Cleary P, et al.
    Electronic health records: Use, barriers and satisfaction among
    physicians who care for black and Hispanic patients. J Eval Clin
    Pract 2009;15:158‑63.
    39. Simon SR, Kaushal R, Cleary PD, Jenter CA, Volk LA, Orav EJ,
    et al. Physicians and electronic health records: A statewide survey.
    Arch Intern Med 2007;167:507‑12.
    40. Kemper AR, Uren RL, Clark SJ. Adoption of electronic
    health records in primary care pediatric practices. Pediatrics
    2006;118:e20‑4.
    41. Menachemi N, Langley A, Brooks RG. The use of information
    technologies among rural and urban physicians in Florida. J Med
    Syst 2007;31:483‑8.
    42. Ludwick DA, Doucette J. Primary care physicians’ experience
    with electronic medical records: Barriers to implementation in a
    fee‑for‑service environment. Int J Telemed Appl 2009;2009:853524.
    43. Ash JS, Gorman PN, LavelleM, Payne TH, Massaro TA, Frantz GL,
    et al. A cross‑site qualitative study of physician order entry. J Am
    Med Inform Assoc 2003;10:188‑200.
    44. Lorenzi NM. Beyond the gadgets. BMJ 2004;328:1146‑7.
    45. Murff HJ, Gandhi TK, Karson AK, Mort EA, Poon EG, Wang SJ,
    et al. Primary care physician attitudes concerning follow‑up of
    abnormal test results and ambulatory decision support systems.
    Int J Med Inform 2003;71:137‑49.
    46. Boonstra A, Broekhuis M. Barriers to the acceptance of electronic
    medical records by physicians from systematic review to
    taxonomy and interventions. BMC Health Serv Res 2010;10:231.
    47. Friedberg MW, Chen PG, Van Busum KR, Aunon F, Pham C,
    Caloyeras J, et al. Factors affecting physician professional
    satisfaction and their implications for patient care, health systems,
    and health policy. Rand Health Q 2014;3:1.
    48. Meade B, Buckley D, Boland M. What factors affect the use
    of electronic patient records by Irish GPs? Int J Med Inform
    2009;78:551‑8.
    49. Likourezos A, Chalfin DB, Murphy DG, Sommer B, Darcy K,
    Davidson SJ. Physician and nurse satisfaction with an Electronic
    Medical Record system. J Emerg Med 2004;27:419‑24.
    50. Reis S, Sagi D, Eisenberg O, Kuchnir Y, Azuri J, Shalev V, et al. The
    impact of residents’ training in Electronic Medical Record (EMR)
    use on their competence: Report of a pragmatic trial. Patient Educ
    Couns 2013;93:515‑21.
    51. Stephenson LS, Gorsuch A, Hersh WR, Mohan V, Gold JA.
    Participation in EHR based simulation improves recognition of
    patient safety issues. BMC Med Educ 2014;14:224.
    52. Frenzel JE. Using electronic medical records to teach
    patient‑centered care. Am J Pharm Educ 2010;74:71.
Journal of Education and Health Promotion
Volume 12, Issue 1
January 2022
Pages 1-14

Home

Guide for Authors

Submit Manuscript

Reviewers

Contact Us