Literature DB >> 34897493

Primary care physicians' electronic health record proficiency and efficiency behaviors and time interacting with electronic health records: a quantile regression analysis.

Oliver T Nguyen1,2, Kea Turner3,4, Nate C Apathy5, Tanja Magoc6, Karim Hanna7, Lisa J Merlo8, Christopher A Harle6,9, Lindsay A Thompson9,10, Eta S Berner1, Sue S Feldman1.   

Abstract

OBJECTIVE: This study aimed to understand the association between primary care physician (PCP) proficiency with the electronic health record (EHR) system and time spent interacting with the EHR.
MATERIALS AND METHODS: We examined the use of EHR proficiency tools among PCPs at one large academic health system using EHR-derived measures of clinician EHR proficiency and efficiency. Our main predictors were the use of EHR proficiency tools and our outcomes focused on 4 measures assessing time spent in the EHR: (1) total time spent interacting with the EHR, (2) time spent outside scheduled clinical hours, (3) time spent documenting, and (4) time spent on inbox management. We conducted multivariable quantile regression models with fixed effects for physician-level factors and time in order to identify factors that were independently associated with time spent in the EHR.
RESULTS: Across 441 primary care physicians, we found mixed associations between certain EHR proficiency behaviors and time spent in the EHR. Across EHR activities studied, QuickActions, SmartPhrases, and documentation length were positively associated with increased time spent in the EHR. Models also showed a greater amount of help from team members in note writing was associated with less time spent in the EHR and documenting. DISCUSSION: Examining the prevalence of EHR proficiency behaviors may suggest targeted areas for initial and ongoing EHR training. Although documentation behaviors are key areas for training, team-based models for documentation and inbox management require further study.
CONCLUSIONS: A nuanced association exists between physician EHR proficiency and time spent in the EHR.
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  EHR optimization; EHR use; documentation burden; primary care physicians

Mesh:

Year:  2022        PMID: 34897493      PMCID: PMC8800512          DOI: 10.1093/jamia/ocab272

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  70 in total

1.  Physician Order Entry Clerical Support Improves Physician Satisfaction and Productivity.

Authors:  Erin Contratto; Katherine Romp; Carlos A Estrada; April Agne; Lisa L Willett
Journal:  South Med J       Date:  2017-05       Impact factor: 0.954

2.  Relationship between documentation method and quality of chronic disease visit notes.

Authors:  P M Neri; L A Volk; S Samaha; S E Pollard; D H Williams; J M Fiskio; E Burdick; S T Edwards; H Ramelson; G D Schiff; D W Bates
Journal:  Appl Clin Inform       Date:  2014-05-14       Impact factor: 2.342

3.  Electronic health records and burnout: Time spent on the electronic health record after hours and message volume associated with exhaustion but not with cynicism among primary care clinicians.

Authors:  Julia Adler-Milstein; Wendi Zhao; Rachel Willard-Grace; Margae Knox; Kevin Grumbach
Journal:  J Am Med Inform Assoc       Date:  2020-04-01       Impact factor: 4.497

4.  Physician Time Spent Using the Electronic Health Record During Outpatient Encounters: A Descriptive Study.

Authors:  J Marc Overhage; David McCallie
Journal:  Ann Intern Med       Date:  2020-01-14       Impact factor: 25.391

5.  The role of health information technology in care coordination in the United States.

Authors:  Chun-Ju Hsiao; Jennifer King; Esther Hing; Alan E Simon
Journal:  Med Care       Date:  2015-02       Impact factor: 2.983

6.  Exploring the relationship between electronic health records and provider burnout: A systematic review.

Authors:  Qi Yan; Zheng Jiang; Zachary Harbin; Preston H Tolbert; Mark G Davies
Journal:  J Am Med Inform Assoc       Date:  2021-04-23       Impact factor: 4.497

7.  Enhancing the Role of the Nurse in Primary Care: The RN "Co-Visit" Model.

Authors:  Karen A Funk; Malia Davis
Journal:  J Gen Intern Med       Date:  2015-12       Impact factor: 5.128

8.  A qualitative study of provider burnout: do medical scribes hinder or help?

Authors:  Sky Corby; Joan S Ash; Vishnu Mohan; James Becton; Nicholas Solberg; Robby Bergstrom; Benjamin Orwoll; Christopher Hoekstra; Jeffrey A Gold
Journal:  JAMIA Open       Date:  2021-08-12

9.  Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties.

Authors:  Christine Sinsky; Lacey Colligan; Ling Li; Mirela Prgomet; Sam Reynolds; Lindsey Goeders; Johanna Westbrook; Michael Tutty; George Blike
Journal:  Ann Intern Med       Date:  2016-09-06       Impact factor: 25.391

10.  Differences in Clinician Electronic Health Record Use Across Adult and Pediatric Primary Care Specialties.

Authors:  Lisa S Rotenstein; A Jay Holmgren; N Lance Downing; Christopher A Longhurst; David W Bates
Journal:  JAMA Netw Open       Date:  2021-07-01
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