Evidence map›Paper›PMID 38532686›Full record

ArticlePsychiatric services (Washington, D.C.)2024

The Importance of Autonomy and Performance Goals in Perceived Workload Among Behavioral Health Providers.

Jennifer Burgess, Hyungjin Myra Kim, Brittany R Porath, Tony Van, Katerine Osatuke, Matthew Boden, Rebecca K Sripada, Edwin S Wong, Kara Zivin

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Psychiatric services (Washington, D.C.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 1 institution in 1 country.

Jennifer BurgessCenter for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Health Care System, Ann Arbor (Burgess, Kim, Porath, Van, Sripada, Zivin); Departments of Biostatistics (Kim) and Psychiatry (Sripada, Zivin), University of Michigan, Ann Arbor; Veterans Health Administration, National Center for Organization Development, Cincinnati (Osatuke); Program Evaluation and Resource Center and VA Office of Mental Health Operations, VA Palo Alto Health Care System, Palo Alto, California (Boden); Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, and Department of Health Systems and Population Health, Magnuson Health Sciences Center, University of Washington School of Public Health, Seattle (Wong).
Hyungjin Myra KimCenter for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Health Care System, Ann Arbor (Burgess, Kim, Porath, Van, Sripada, Zivin); Departments of Biostatistics (Kim) and Psychiatry (Sripada, Zivin), University of Michigan, Ann Arbor; Veterans Health Administration, National Center for Organization Development, Cincinnati (Osatuke); Program Evaluation and Resource Center and VA Office of Mental Health Operations, VA Palo Alto Health Care System, Palo Alto, California (Boden); Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, and Department of Health Systems and Population Health, Magnuson Health Sciences Center, University of Washington School of Public Health, Seattle (Wong).
Brittany R PorathCenter for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Health Care System, Ann Arbor (Burgess, Kim, Porath, Van, Sripada, Zivin); Departments of Biostatistics (Kim) and Psychiatry (Sripada, Zivin), University of Michigan, Ann Arbor; Veterans Health Administration, National Center for Organization Development, Cincinnati (Osatuke); Program Evaluation and Resource Center and VA Office of Mental Health Operations, VA Palo Alto Health Care System, Palo Alto, California (Boden); Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, and Department of Health Systems and Population Health, Magnuson Health Sciences Center, University of Washington School of Public Health, Seattle (Wong).
Tony VanCenter for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Health Care System, Ann Arbor (Burgess, Kim, Porath, Van, Sripada, Zivin); Departments of Biostatistics (Kim) and Psychiatry (Sripada, Zivin), University of Michigan, Ann Arbor; Veterans Health Administration, National Center for Organization Development, Cincinnati (Osatuke); Program Evaluation and Resource Center and VA Office of Mental Health Operations, VA Palo Alto Health Care System, Palo Alto, California (Boden); Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, and Department of Health Systems and Population Health, Magnuson Health Sciences Center, University of Washington School of Public Health, Seattle (Wong).
Katerine OsatukeCenter for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Health Care System, Ann Arbor (Burgess, Kim, Porath, Van, Sripada, Zivin); Departments of Biostatistics (Kim) and Psychiatry (Sripada, Zivin), University of Michigan, Ann Arbor; Veterans Health Administration, National Center for Organization Development, Cincinnati (Osatuke); Program Evaluation and Resource Center and VA Office of Mental Health Operations, VA Palo Alto Health Care System, Palo Alto, California (Boden); Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, and Department of Health Systems and Population Health, Magnuson Health Sciences Center, University of Washington School of Public Health, Seattle (Wong).
Matthew BodenCenter for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Health Care System, Ann Arbor (Burgess, Kim, Porath, Van, Sripada, Zivin); Departments of Biostatistics (Kim) and Psychiatry (Sripada, Zivin), University of Michigan, Ann Arbor; Veterans Health Administration, National Center for Organization Development, Cincinnati (Osatuke); Program Evaluation and Resource Center and VA Office of Mental Health Operations, VA Palo Alto Health Care System, Palo Alto, California (Boden); Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, and Department of Health Systems and Population Health, Magnuson Health Sciences Center, University of Washington School of Public Health, Seattle (Wong).
Rebecca K SripadaCenter for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Health Care System, Ann Arbor (Burgess, Kim, Porath, Van, Sripada, Zivin); Departments of Biostatistics (Kim) and Psychiatry (Sripada, Zivin), University of Michigan, Ann Arbor; Veterans Health Administration, National Center for Organization Development, Cincinnati (Osatuke); Program Evaluation and Resource Center and VA Office of Mental Health Operations, VA Palo Alto Health Care System, Palo Alto, California (Boden); Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, and Department of Health Systems and Population Health, Magnuson Health Sciences Center, University of Washington School of Public Health, Seattle (Wong).
Edwin S WongCenter for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Health Care System, Ann Arbor (Burgess, Kim, Porath, Van, Sripada, Zivin); Departments of Biostatistics (Kim) and Psychiatry (Sripada, Zivin), University of Michigan, Ann Arbor; Veterans Health Administration, National Center for Organization Development, Cincinnati (Osatuke); Program Evaluation and Resource Center and VA Office of Mental Health Operations, VA Palo Alto Health Care System, Palo Alto, California (Boden); Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, and Department of Health Systems and Population Health, Magnuson Health Sciences Center, University of Washington School of Public Health, Seattle (Wong).
Kara ZivinCenter for Clinical Management Research, U.S. Department of Veterans Affairs (VA) Ann Arbor Health Care System, Ann Arbor (Burgess, Kim, Porath, Van, Sripada, Zivin); Departments of Biostatistics (Kim) and Psychiatry (Sripada, Zivin), University of Michigan, Ann Arbor; Veterans Health Administration, National Center for Organization Development, Cincinnati (Osatuke); Program Evaluation and Resource Center and VA Office of Mental Health Operations, VA Palo Alto Health Care System, Palo Alto, California (Boden); Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, and Department of Health Systems and Population Health, Magnuson Health Sciences Center, University of Washington School of Public Health, Seattle (Wong).
VA Palo Alto Health Care System · US

Funding

HSR&D Research Career Scientist AwardIK6HX003397 · VA · VETERANS HEALTH ADMINISTRATION · PI Kara Zivin · 2021 to 2026
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HSRD VA I01 HX002553HSRD VA IK6 HX003397
6 · The paper itself

Abstract

objectiveThe authors sought to assess workplace characteristics associated with perceived reasonable workload among behavioral health care providers in the Veterans Health Administration.

methodsThe authors evaluated perceived reasonable workload and workplace characteristics from the 2019 All Employee Survey (AES; N=14,824) and 2019 Mental Health Provider Survey (MHPS; N=10,490) and facility-level staffing ratios from Mental Health Onboard Clinical Dashboard data. Nine AES and 15 MHPS workplace predictors of perceived reasonable workload, 11 AES and six MHPS demographic predictors, and facility-level staffing ratios were included in mixed-effects logistic regression models.

resultsIn total, 8,874 (59.9%) AES respondents and 5,915 (56.4%) MHPS respondents reported having a reasonable workload. The characteristics most strongly associated with perceived reasonable workload were having attainable performance goals (average marginal effect [AME]=0.10) in the AES and ability to schedule patients as frequently as indicated (AME=0.09) in the MHPS. Other AES characteristics significantly associated with reasonable workload included having appropriate resources, support for personal life, skill building, performance recognition, concerns being addressed, and no supervisor favoritism. MHPS characteristics included not having collateral duties that reduce care time, staffing levels not affecting care, support staff taking over some responsibilities, having spirit of teamwork, primary care-mental health integration, participation in performance discussions, well-coordinated mental health care, effective veteran programs, working at the top of licensure, and feeling involved in improving access. Facility-level staffing ratios were not significantly associated with perceived reasonable workload.

conclusionsLeadership may consider focusing resources on initiatives that support behavioral health providers' autonomy to schedule patients as clinically indicated and develop attainable performance goals.

Indexed as

Health PersonnelMental Health ServicesUnited States Department of Veterans AffairsWorkloadAdultFemaleGoalsHumansMaleMiddle AgedProfessional AutonomySurveys and QuestionnairesUnited StatesBurnoutMental health providersMental health systemsPerformanceU.S. Department of Veterans Affairs (VA)Workload

Identifiers

PMID38532686
PMCPMC11406112
OpenAlexW4393231612

What OpenQuestion holds

Textmetadata
LicenceTDM
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.