PMID- 35230714 OWN - NLM STAT- MEDLINE DCOM- 20220517 LR - 20230801 IS - 1475-6773 (Electronic) IS - 0017-9124 (Print) IS - 0017-9124 (Linking) VI - 57 Suppl 1 IP - Suppl 1 DP - 2022 Jun TI - Relationships between work-environment characteristics and behavioral health provider burnout in the Veterans Health Administration. PG - 83-94 LID - 10.1111/1475-6773.13964 [doi] AB - OBJECTIVE: To identify work-environment characteristics associated with Veterans Health Administration (VHA) behavioral health provider (BHP) burnout among psychiatrists, psychologists, and social workers. DATA SOURCES: The 2015-2018 data from Annual All Employee Survey (AES); Mental Health Provider Survey (MHPS); N = 57,397 respondents; facility-level Mental Health Onboard Clinical (MHOC) staffing and productivity data, N = 140 facilities. STUDY DESIGN: For AES and MHPS separately, we used mixed-effects logistic regression to predict BHP burnout using surveys from year pairs (2015-2016, 2016-2017, 2017-2018; six models). Within each year-pair, we used the earlier year of data to train models and tested the model in the later year, with burnout (emotional exhaustion and/or depersonalization) as the outcome for each survey. We used potentially modifiable work-environment characteristics as predictors, controlling for employee demographic characteristics as covariates, and employment facility as random intercepts. DATA COLLECTION/EXTRACTION METHODS: We included work-environment predictors that appeared in all 4 years (11 in AES; 17 in MHPS). PRINCIPAL FINDINGS: In 2015-2018, 31.0%-38.0% of BHPs reported burnout in AES or MHPS. Work characteristics consistently associated with significantly lower burnout were included for AES: reasonable workload; having appropriate resources to perform a job well; supervisors address concerns; given an opportunity to improve skills. For MHPS, characteristics included: reasonable workload; work improves veterans' lives; mental health care provided is well-coordinated; and three reverse-coded items: staffing vacancies; daily work that clerical/support staff could complete; and collateral duties reduce availability for patient care. Facility-level staffing ratios and productivity did not significantly predict individual-level burnout. Workload represented the strongest predictor of burnout in both surveys. CONCLUSIONS: This study demonstrated substantial, ongoing impacts that having appropriate resources including staff, workload, and supervisor support had on VHA BHP burnout. VHA may consider investing in approaches to mitigate the impact of BHP burnout on employees and their patients through providing staff supports, managing workload, and goal setting. CI - (c) 2022 The Authors. Health Services Research published by Wiley Periodicals LLC on behalf of Health Research and Educational Trust. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA. FAU - Zivin, Kara AU - Zivin K AUID- ORCID: 0000-0001-8246-6864 AD - Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA. AD - Department of Psychiatry, Michigan Medicine, Ann Arbor, Michigan, USA. FAU - Chang, Ming-Un Myron AU - Chang MM AD - Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA. FAU - Van, Tony AU - Van T AD - Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA. FAU - Osatuke, Katerine AU - Osatuke K AD - VHA National Center for Organization Development, Cincinnati, Ohio, USA. FAU - Boden, Matt AU - Boden M AD - Program Evaluation and Resource Center and VA Office of Mental Health Operations, VA Palo Alto Health Care System, Palo Alto, California, USA. AD - Center for Innovation to Implementation, VA Palo Alto Healthcare System, Palo Alto, California, USA. FAU - Sripada, Rebecca K AU - Sripada RK AD - Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA. AD - Department of Psychiatry, Michigan Medicine, Ann Arbor, Michigan, USA. FAU - Abraham, Kristen M AU - Abraham KM AD - Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA. AD - Department of Psychology, University of Detroit Mercy, Detroit, Michigan, USA. FAU - Pfeiffer, Paul N AU - Pfeiffer PN AD - Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA. AD - Department of Psychiatry, Michigan Medicine, Ann Arbor, Michigan, USA. FAU - Kim, Hyungjin Myra AU - Kim HM AD - Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA. AD - Consulting for Statistics, Computing and Analytics Research, University of Michigan, Ann Arbor, Michigan, USA. LA - eng GR - I01 HX002553/HX/HSRD VA/United States GR - IK6 HX003397/HX/HSRD VA/United States PT - Journal Article PT - Research Support, U.S. Gov't, Non-P.H.S. DEP - 20220315 PL - United States TA - Health Serv Res JT - Health services research JID - 0053006 SB - IM MH - *Burnout, Professional/epidemiology/psychology MH - Humans MH - Job Satisfaction MH - *Psychiatry MH - Surveys and Questionnaires MH - Veterans Health MH - Workload MH - Workplace PMC - PMC9108225 OTO - NOTNLM OT - burnout OT - mental health providers OT - supervisor support OT - workload EDAT- 2022/03/02 06:00 MHDA- 2022/05/18 06:00 PMCR- 2022/03/15 CRDT- 2022/03/01 12:19 PHST- 2022/02/03 00:00 [revised] PHST- 2021/07/19 00:00 [received] PHST- 2022/02/04 00:00 [accepted] PHST- 2022/03/02 06:00 [pubmed] PHST- 2022/05/18 06:00 [medline] PHST- 2022/03/01 12:19 [entrez] PHST- 2022/03/15 00:00 [pmc-release] AID - HESR13964 [pii] AID - 10.1111/1475-6773.13964 [doi] PST - ppublish SO - Health Serv Res. 2022 Jun;57 Suppl 1(Suppl 1):83-94. doi: 10.1111/1475-6773.13964. Epub 2022 Mar 15.