Why Do Physicians Depart Their Practice? A Qualitative Study of Attrition in a Multispecialty Ambulatory Practice Network

被引:3
作者
O'Connell, Ryan [1 ]
Hosain, Fatima [2 ]
Colucci, Leah [2 ]
Nath, Bidisha [2 ]
Melnick, Edward R. [2 ,3 ,4 ]
机构
[1] Yale Univ, New Haven, CT USA
[2] Yale Univ, Sch Med, Dept Emergency Med, New Haven, CT USA
[3] Yale Sch Publ Hlth, Dept Biostat Hlth Informat, New Haven, CT USA
[4] Yale Sch Med, Dept Emergency Med, 464 Congress Ave,Suite 260, New Haven, CT 06519 USA
基金
美国医疗保健研究与质量局;
关键词
Electronic Health Records; Leadership; Personnel Retention; Physicians; Psychological Burnout; Qualitative Research; Workforce; CARE PROVIDER TURNOVER; BURNOUT; SATISFACTION; PLANS;
D O I
10.3122/jabfm.2023.230052R2
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Physician departure causes considerable disruption for patients, colleagues, and staff. The cost of finding a new physician to replace the loss coupled with lost productivity as they build their practice can cost as much as $1 million per departure. Therefore, we sought to characterize drivers of departure from practice with the goal of informing retention efforts (with a special emphasis on the connection between electronic health record (EHR)-related stress and physician Methods: This qualitative study of semistructured interviews was conducted between October 2021 and April 2022 among 13 attending physicians who had voluntarily departed their position from 2018 to 2021 in a large multispecialty, productivity-based, ambulatory practice network in the Northeast with a 5% annual turnover rate to understand their reasons for departing practice. Results: Among the 13 participants, 8 were women (61.5%), 3 retired (23.1%), and 6 (46.2%) left for new positions. Major domains surrounding the decision to depart included current features of the health care delivery landscape, leadership/local practice culture, and personal considerations. Major factors within these domains included the EHR, compensation model, emphasis on metrics, leadership support, teamwork/staffing, burnout, and work-life integration. Conclusions: Opportunities for medical practices to prevent ambulatory physicians' turnover include: (1) addressing workflow by distributing responsibility across team members to better address patient expectations and documentation requirements, (2) ensuring adequate staffing across disciplines and roles, and (3) considering alternative care or payment models. (J Am Board Fam Med 2023;36:1050-1057.)
引用
收藏
页码:1050 / 1057
页数:8
相关论文
共 33 条
[1]   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 [J].
Adler-Milstein, Julia ;
Zhao, Wendi ;
Willard-Grace, Rachel ;
Knox, Margae ;
Grumbach, Kevin .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2020, 27 (04) :531-538
[2]  
[Anonymous], The Stanford Model of Professional FulfillmentTMTM | WellMD & WellPhD
[3]  
Bohman B, 2017, N Engl J Med Catalyst, V3
[4]   Qualitative data analysis for health services research: Developing taxonomy, themes, and theory [J].
Bradley, Elizabeth H. ;
Curry, Leslie A. ;
Devers, Kelly J. .
HEALTH SERVICES RESEARCH, 2007, 42 (04) :1758-1772
[5]   Qualitative and Mixed Methods Provide Unique Contributions to Outcomes Research [J].
Curry, Leslie A. ;
Nembhard, Ingrid M. ;
Bradley, Elizabeth H. .
CIRCULATION, 2009, 119 (10) :1442-1452
[6]  
Dyrbye LN, 2019, ANN INTERN MED, V171, P600, DOI 10.7326/L19-0522
[7]  
Fibuch Eugene, 2015, Physician Leadersh J, V2, P22
[8]   Physician stress and burnout: the impact of health information technology [J].
Gardner, Rebekah L. ;
Cooper, Emily ;
Haskell, Jacqueline ;
Harris, Daniel A. ;
Poplau, Sara ;
Kroth, Philip J. ;
Linzer, Mark .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2019, 26 (02) :106-114
[9]   Estimating institutional physician turnover attributable to self-reported burnout and associated financial burden: a case study [J].
Hamidi, Maryam S. ;
Bohman, Bryan ;
Sandborg, Christy ;
Smith-Coggins, Rebecca ;
de Vries, Patty ;
Albert, Marisa S. ;
Murphy, Mary Lou ;
Welle, Dana ;
Trockel, Mickey T. .
BMC HEALTH SERVICES RESEARCH, 2018, 18
[10]   Predicting physician departure with machine learning on EHR use patterns: A longitudinal cohort from a large multi-specialty ambulatory practice [J].
Lopez, Kevin ;
Li, Huan ;
Paek, Hyung R. ;
Williams, Brian J. ;
Nath, Bidisha ;
Melnick, Edward ;
Loza, Andrew .
PLOS ONE, 2023, 18 (02)