Karina Pereira-Lima1, Rahael R Gupta, Constance Guille, Srijan Sen. 1. K. Pereira-Lima is a research scholar, Department of Psychiatry, University of Michigan Medical School, Ann Arbor, Michigan, and PhD candidate, Department of Neuroscience and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil. R.R. Gupta is an MD candidate, University of Michigan Medical School, Ann Arbor, Michigan. C. Guille is assistant professor, Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, South Carolina. S. Sen is research associate professor, Molecular and Behavioral Neuroscience Institute, and associate professor, Department of Psychiatry, University of Michigan Medical School, Ann Arbor, Michigan.
Abstract
PURPOSE: To investigate the associations between program-level variables such as organizational structure, workload, and learning environment and residents' development of depressive symptoms during internship. METHOD: Between 2012 and 2015, 1,276 internal medicine interns from 54 U.S. residency programs completed the Patient Health Questionnaire-9 (PHQ-9) before internship, and then quarterly throughout the internship. The training environment was assessed via a resident questionnaire and average weekly work hours. The authors gathered program structural variables from the American Medical Association Fellowship and Residency Electronic Interactive Database (FREIDA online) and program research rankings from Doximity. Associations between program-level variables and change in depressive symptoms were determined using stepwise linear regression modeling. RESULTS: Mean program PHQ-9 scores increased from 2.3 at baseline to 5.9 during internship (mean difference 3.6; SD 1.4; P < .001), with the mean increase ranging from -0.3 to 8.8 (interquartile range 1.1) among included programs. In multivariable models, faculty feedback (β = -0.37; 95% CI: -0.62, -0.12; P = .005), learning experience in inpatient rotations (β = -0.28; 95% CI: -0.54, -0.02; P = .030), work hours (β = 0.34; 95% CI: 0.13, 0.56; P = .002), and research ranking position (β = -0.25; 95% CI: -0.47, -0.03; P = .036) were associated with change in depressive symptoms. CONCLUSIONS: Poor faculty feedback and inpatient learning experience, long work hours, and high institutional research rankings were associated with increased depressive symptoms among internal medicine interns. These factors may be potential targets for interventions to improve wellness and mental health among these professionals.
PURPOSE: To investigate the associations between program-level variables such as organizational structure, workload, and learning environment and residents' development of depressive symptoms during internship. METHOD: Between 2012 and 2015, 1,276 internal medicine interns from 54 U.S. residency programs completed the Patient Health Questionnaire-9 (PHQ-9) before internship, and then quarterly throughout the internship. The training environment was assessed via a resident questionnaire and average weekly work hours. The authors gathered program structural variables from the American Medical Association Fellowship and Residency Electronic Interactive Database (FREIDA online) and program research rankings from Doximity. Associations between program-level variables and change in depressive symptoms were determined using stepwise linear regression modeling. RESULTS: Mean program PHQ-9 scores increased from 2.3 at baseline to 5.9 during internship (mean difference 3.6; SD 1.4; P < .001), with the mean increase ranging from -0.3 to 8.8 (interquartile range 1.1) among included programs. In multivariable models, faculty feedback (β = -0.37; 95% CI: -0.62, -0.12; P = .005), learning experience in inpatient rotations (β = -0.28; 95% CI: -0.54, -0.02; P = .030), work hours (β = 0.34; 95% CI: 0.13, 0.56; P = .002), and research ranking position (β = -0.25; 95% CI: -0.47, -0.03; P = .036) were associated with change in depressive symptoms. CONCLUSIONS: Poor faculty feedback and inpatient learning experience, long work hours, and high institutional research rankings were associated with increased depressive symptoms among internal medicine interns. These factors may be potential targets for interventions to improve wellness and mental health among these professionals.
Authors: Matthias Weigl; Severin Hornung; Raluca Petru; Jürgen Glaser; Peter Angerer Journal: Int Arch Occup Environ Health Date: 2011-09-29 Impact factor: 3.015
Authors: Lena M Napolitano; Thomas W Biester; Gregory J Jurkovich; Jo Buyske; Mark A Malangoni; Frank R Lewis Journal: Am J Surg Date: 2016-08-13 Impact factor: 2.565
Authors: Jonathan Ripp; Mark Babyatsky; Robert Fallar; Hasan Bazari; Lisa Bellini; Cyrus Kapadia; Joel T Katz; Mark Pecker; Deborah Korenstein Journal: Acad Med Date: 2011-10 Impact factor: 6.893
Authors: Jian Li; Matthias Weigl; Jürgen Glaser; Raluca Petru; Johannes Siegrist; Peter Angerer Journal: Am J Ind Med Date: 2013-09-03 Impact factor: 2.214
Authors: Amy M Fahrenkopf; Theodore C Sectish; Laura K Barger; Paul J Sharek; Daniel Lewin; Vincent W Chiang; Sarah Edwards; Bernhard L Wiedermann; Christopher P Landrigan Journal: BMJ Date: 2008-02-07
Authors: Jocelyn Lockyer; Heather Armson; Karen D Könings; Rachelle C W Lee-Krueger; Amanda Roze des Ordons; Subha Ramani; Jessica Trier; Mary Grace Zetkulic; Joan Sargeant Journal: J Grad Med Educ Date: 2020-02
Authors: Liselotte N Dyrbye; Andrea N Leep Hunderfund; Susan Moeschler; Brianna Vaa; Eric Dozois; Richard C Winters; Daniel Satele; Colin P West Journal: J Gen Intern Med Date: 2021-01-22 Impact factor: 6.473