Literature DB >> 32576553

The Electronic Medical Record and Nephrology Fellowship Education in the United States: An Opinion Survey.

Christina M Yuan1, Dustin J Little2, Eric S Marks2, Maura A Watson2, Rajeev Raghavan3, Robert Nee2.   

Abstract

BACKGROUND AND OBJECTIVES: An unintended consequence of electronic medical record use in the United States is the potential effect on graduate physician training. We assessed educational burdens and benefits of electronic medical record use on United States nephrology fellows by means of a survey. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We used an anonymous online opinion survey of all United States nephrology program directors (n=148), their faculty, and fellows. Program directors forwarded survey links to fellows and clinical faculty, indicating to how many they forwarded the link. The three surveys had parallel questions to permit comparisons.
RESULTS: Twenty-two percent of program directors (n=33) forwarded surveys to faculty (n=387) and fellows (n=216; 26% of United States nephrology fellows). Faculty and fellow response rates were 25% and 33%, respectively; 51% of fellows agreed/strongly agreed that the electronic medical record contributed positively to their education. Perceived positive effects included access flexibility and ease of obtaining laboratory/radiology results. Negative effects included copy-forward errors and excessive, irrelevant documentation. Electronic medical record function was reported to be slow, disrupted, or completely lost monthly or more by >40%, and these were significantly less likely to agree that the electronic medical record contributed positively to their education. Electronic medical record completion time demands contributed to fellow reluctance to do procedures (52%), participate in conferences (57%), prolong patient interactions (74%), and do patient-directed reading (55%). Sixty-five percent of fellows reported often/sometimes exceeding work-hours limits due to documentation time demands; 85% of faculty reported often/sometimes observing copy-forward errors. Limitations include potential nonresponse and social desirability bias.
CONCLUSIONS: Respondents reported that the electronic medical record enhances fellow education with efficient and geographically flexible patient data access, but the time demands of data and order entry reduce engagement in educational activities, contribute to work-hours violations, and diminish direct patient interactions.
Copyright © 2020 by the American Society of Nephrology.

Entities:  

Keywords:  Burnout; Clinical Education; Documentation; Electronic Health Records; Faculty; Fellowships and Scholarships; Medical Record; Nephrology Fellowship; Physicians; Radiology; Reading; Records; Social Desirability; Surveys and Questionnaires; Work Compression; Work Hours

Year:  2020        PMID: 32576553      PMCID: PMC7341781          DOI: 10.2215/CJN.14191119

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


  33 in total

1.  Evaluating survey quality in health services research: a decision framework for assessing nonresponse bias.

Authors:  Jonathon R B Halbesleben; Marilyn V Whitman
Journal:  Health Serv Res       Date:  2012-10-10       Impact factor: 3.402

2.  Medical education in the electronic medical record (EMR) era: benefits, challenges, and future directions.

Authors:  Michael J Tierney; Natalie M Pageler; Madelyn Kahana; Julie L Pantaleoni; Christopher A Longhurst
Journal:  Acad Med       Date:  2013-06       Impact factor: 6.893

3.  Nonresponse rates are a problematic indicator of nonresponse bias in survey research.

Authors:  Michael Davern
Journal:  Health Serv Res       Date:  2013-06       Impact factor: 3.402

4.  Compliance and falsification of duty hours: reports from residents and program directors.

Authors:  Brian C Drolet; Matthew Schwede; Kenneth D Bishop; Staci A Fischer
Journal:  J Grad Med Educ       Date:  2013-09

5.  Survey of Kidney Biopsy Clinical Practice and Training in the United States.

Authors:  Christina M Yuan; Robert Nee; Dustin J Little; Rajeev Narayan; John M Childs; Lisa K Prince; Rajeev Raghavan; James D Oliver
Journal:  Clin J Am Soc Nephrol       Date:  2018-04-18       Impact factor: 8.237

6.  Beyond Burnout - Redesigning Care to Restore Meaning and Sanity for Physicians.

Authors:  Alexi A Wright; Ingrid T Katz
Journal:  N Engl J Med       Date:  2018-01-25       Impact factor: 91.245

7.  The Impact of Physician EHR Usage on Patient Satisfaction.

Authors:  Rebecca A Marmor; Brian Clay; Marlene Millen; Thomas J Savides; Christopher A Longhurst
Journal:  Appl Clin Inform       Date:  2018-01-03       Impact factor: 2.342

8.  Relationship Between Clerical Burden and Characteristics of the Electronic Environment With Physician Burnout and Professional Satisfaction.

Authors:  Tait D Shanafelt; Lotte N Dyrbye; Christine Sinsky; Omar Hasan; Daniel Satele; Jeff Sloan; Colin P West
Journal:  Mayo Clin Proc       Date:  2016-06-27       Impact factor: 7.616

9.  Exploring physician specialist response rates to web-based surveys.

Authors:  Ceara Tess Cunningham; Hude Quan; Brenda Hemmelgarn; Tom Noseworthy; Cynthia A Beck; Elijah Dixon; Susan Samuel; William A Ghali; Lindsay L Sykes; Nathalie Jetté
Journal:  BMC Med Res Methodol       Date:  2015-04-09       Impact factor: 4.615

10.  Physician Use of Electronic Health Records: Survey Study Assessing Factors Associated With Provider Reported Satisfaction and Perceived Patient Impact.

Authors:  Daniel Clay Williams; Robert W Warren; Myla Ebeling; Annie L Andrews; Ronald J Teufel Ii
Journal:  JMIR Med Inform       Date:  2019-04-04
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  1 in total

1.  From Nihilism to Opportunity: The Educational Potential of the Electronic Health Record.

Authors:  Andrew P J Olson; Mark E Rosenberg
Journal:  Clin J Am Soc Nephrol       Date:  2020-06-23       Impact factor: 8.237

  1 in total

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