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Analysis of Electronic Health Record Use and Clinical Productivity and Their Association With Physician Turnover
IMPORTANCE: Physician turnover takes a heavy toll on patients, physicians, and health care organizations. Survey research has established associations of electronic health record (EHR) use with professional burnout and reduction in professional effort, but these findings are subject to response fati...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8511970/ https://www.ncbi.nlm.nih.gov/pubmed/34636911 http://dx.doi.org/10.1001/jamanetworkopen.2021.28790 |
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author | Melnick, Edward R. Fong, Allan Nath, Bidisha Williams, Brian Ratwani, Raj M. Goldstein, Richard O’Connell, Ryan T. Sinsky, Christine A. Marchalik, Daniel Mete, Mihriye |
author_facet | Melnick, Edward R. Fong, Allan Nath, Bidisha Williams, Brian Ratwani, Raj M. Goldstein, Richard O’Connell, Ryan T. Sinsky, Christine A. Marchalik, Daniel Mete, Mihriye |
author_sort | Melnick, Edward R. |
collection | PubMed |
description | IMPORTANCE: Physician turnover takes a heavy toll on patients, physicians, and health care organizations. Survey research has established associations of electronic health record (EHR) use with professional burnout and reduction in professional effort, but these findings are subject to response fatigue and bias. OBJECTIVE: To evaluate the association of physician productivity and EHR use patterns, as determined by vendor-derived EHR use data platforms, with physician turnover. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study was conducted among nonteaching ambulatory physicians at a large ambulatory practice network based in New England. Data were collected from March 2018 to February 2020. MAIN OUTCOMES AND MEASURES: Physician departure from the practice network; 4 time-based core measures of EHR use, normalized to 8 hours of scheduled clinical time; teamwork, percentage of a physician’s orders that are placed by other members of the care team; and productivity measures of patient volume, intensity, and demand. RESULTS: Among 335 physicians assessed for eligibility, 314 unique physicians (89.2%) were included in the analysis (123 [39%] women; 100 [32%] aged 45-54 years), with 5663 physician-months of data. The turnover rate was 5.1%/year (32 of 314 physicians). Physicians completed a mean 2.6 appointments/hour (95% CI, 2.5-2.6 appointments/hour) and 206 appointments/month (95% CI, 197-215 appointments/month) with 5.5 hours (95% CI, 5.3-5.8 hours) of EHR time for every 8 hours of scheduled patient time. After controlling for gender, medical specialty, and time, the following variables were associated with turnover: inbox time (odds ratio [OR], 0.70; 95% CI, 0.61-0.82; P < .001), teamwork (OR, 0.68; 95% CI, 0.52-0.87; P = .003), demand (ie, proportion of available appointments filled: OR, 0.49; 95% CI, 0.35-0.70; P < .001), and age 45 to 54 years vs 25 to 34 years (OR, 0.19; 95% CI, 0.04-0.93; P = .04). CONCLUSIONS AND RELEVANCE: In this study, physician productivity and EHR use metrics were associated with physician departure. Prospectively tracking these metrics could identify physicians at high risk of departure who would benefit from early, team-based, targeted interventions. The counterintuitive finding that less time spent on the EHR (in particular inbox management) was associated with physician departure warrants further investigation. |
format | Online Article Text |
id | pubmed-8511970 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-85119702021-10-27 Analysis of Electronic Health Record Use and Clinical Productivity and Their Association With Physician Turnover Melnick, Edward R. Fong, Allan Nath, Bidisha Williams, Brian Ratwani, Raj M. Goldstein, Richard O’Connell, Ryan T. Sinsky, Christine A. Marchalik, Daniel Mete, Mihriye JAMA Netw Open Original Investigation IMPORTANCE: Physician turnover takes a heavy toll on patients, physicians, and health care organizations. Survey research has established associations of electronic health record (EHR) use with professional burnout and reduction in professional effort, but these findings are subject to response fatigue and bias. OBJECTIVE: To evaluate the association of physician productivity and EHR use patterns, as determined by vendor-derived EHR use data platforms, with physician turnover. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study was conducted among nonteaching ambulatory physicians at a large ambulatory practice network based in New England. Data were collected from March 2018 to February 2020. MAIN OUTCOMES AND MEASURES: Physician departure from the practice network; 4 time-based core measures of EHR use, normalized to 8 hours of scheduled clinical time; teamwork, percentage of a physician’s orders that are placed by other members of the care team; and productivity measures of patient volume, intensity, and demand. RESULTS: Among 335 physicians assessed for eligibility, 314 unique physicians (89.2%) were included in the analysis (123 [39%] women; 100 [32%] aged 45-54 years), with 5663 physician-months of data. The turnover rate was 5.1%/year (32 of 314 physicians). Physicians completed a mean 2.6 appointments/hour (95% CI, 2.5-2.6 appointments/hour) and 206 appointments/month (95% CI, 197-215 appointments/month) with 5.5 hours (95% CI, 5.3-5.8 hours) of EHR time for every 8 hours of scheduled patient time. After controlling for gender, medical specialty, and time, the following variables were associated with turnover: inbox time (odds ratio [OR], 0.70; 95% CI, 0.61-0.82; P < .001), teamwork (OR, 0.68; 95% CI, 0.52-0.87; P = .003), demand (ie, proportion of available appointments filled: OR, 0.49; 95% CI, 0.35-0.70; P < .001), and age 45 to 54 years vs 25 to 34 years (OR, 0.19; 95% CI, 0.04-0.93; P = .04). CONCLUSIONS AND RELEVANCE: In this study, physician productivity and EHR use metrics were associated with physician departure. Prospectively tracking these metrics could identify physicians at high risk of departure who would benefit from early, team-based, targeted interventions. The counterintuitive finding that less time spent on the EHR (in particular inbox management) was associated with physician departure warrants further investigation. American Medical Association 2021-10-12 /pmc/articles/PMC8511970/ /pubmed/34636911 http://dx.doi.org/10.1001/jamanetworkopen.2021.28790 Text en Copyright 2021 Melnick ER et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Original Investigation Melnick, Edward R. Fong, Allan Nath, Bidisha Williams, Brian Ratwani, Raj M. Goldstein, Richard O’Connell, Ryan T. Sinsky, Christine A. Marchalik, Daniel Mete, Mihriye Analysis of Electronic Health Record Use and Clinical Productivity and Their Association With Physician Turnover |
title | Analysis of Electronic Health Record Use and Clinical Productivity and Their Association With Physician Turnover |
title_full | Analysis of Electronic Health Record Use and Clinical Productivity and Their Association With Physician Turnover |
title_fullStr | Analysis of Electronic Health Record Use and Clinical Productivity and Their Association With Physician Turnover |
title_full_unstemmed | Analysis of Electronic Health Record Use and Clinical Productivity and Their Association With Physician Turnover |
title_short | Analysis of Electronic Health Record Use and Clinical Productivity and Their Association With Physician Turnover |
title_sort | analysis of electronic health record use and clinical productivity and their association with physician turnover |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8511970/ https://www.ncbi.nlm.nih.gov/pubmed/34636911 http://dx.doi.org/10.1001/jamanetworkopen.2021.28790 |
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