Evidence map›Paper›PMID 35230714›Full record

ArticleHealth services research2022

Relationships between work-environment characteristics and behavioral health provider burnout in the Veterans Health Administration.

Kara Zivin, Ming-Un Myron Chang, Tony Van, Katerine Osatuke, Matt Boden, Rebecca K Sripada, Kristen M Abraham, Paul N Pfeiffer, Hyungjin Myra Kim

Abstract read
In one paragraph

Article in Health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  7. Lessons in leadership: Developing a longitudinal evidence-based teaching curriculum on professionalism in healthcare.Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management · 2025
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  19. Translating research into policy and action.Health services research · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kara ZivinCenter for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.ORCID 0000-0001-8246-6864
Ming-Un Myron ChangCenter for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.
Tony VanCenter for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.
Katerine OsatukeVHA National Center for Organization Development, Cincinnati, Ohio, USA.
Matt BodenProgram Evaluation and Resource Center and VA Office of Mental Health Operations, VA Palo Alto Health Care System, Palo Alto, California, USA.
Rebecca K SripadaCenter for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.
Kristen M AbrahamCenter for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.
Paul N PfeifferCenter for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.
Hyungjin Myra KimCenter for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.

Funding

Caring for the caregiver: predictors and consequences of VA mental health provider burnoutI01HX002553 · VA · VETERANS HEALTH ADMINISTRATION · PI ZIVIN, KARA · 2020 to 2024
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HSRD VA I01 HX002553HSRD VA IK6 HX003397
6 · The paper itself

Abstract

objectiveTo 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

designFor 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

methodsWe included work-environment predictors that appeared in all 4 years (11 in AES; 17 in MHPS). PRINCIPAL

findingsIn 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.

conclusionsThis 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.

Indexed as

Burnout, ProfessionalPsychiatryHumansJob SatisfactionSurveys and QuestionnairesVeterans HealthWorkloadWorkplaceburnoutmental health providerssupervisor supportworkload

Identifiers

PMID35230714
PMCPMC9108225

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.