Evidence map›Paper›PMID 37772507›Full record

ReviewThe journal of mental health policy and economics2023

PERSPECTIVE: Economic and Policy Research Interests Highlighted in the 25th NIMH-Sponsored Mental Health Services Research Conference.

Jennifer L Humensky, Michael C Freed, Susan T Azrin, Mary Acri, Denise Pintello

Open access · greenAbstract readReview
In one paragraph

Review in The journal of mental health policy and economics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.9field-weighted citation impact, top 11% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. PERSPECTIVE: A Path to Value-Based Insurance Design for Mental Health Services.The journal of mental health policy and economics · 2024
    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

5 authors at 1 institution in 1 country.

Jennifer L HumenskyFinancing and Managed Care Research Program, Services Research and Clinical Epidemiology Branch, Division of Services and Intervention Research, National Institute of Mental Health / NIH, Jennifer.Humensky@nih.gov.
Michael C Freed
Susan T Azrin
Mary Acri
Denise Pintello
National Institute of Mental Health · CZ

Funding

Intramural NIH HHS Z99 MH999999
6 · The paper itself

Abstract

backgroundThe National Institute of Mental Health (NIMH) remains committed to addressing real-world challenges with delivering high quality mental health care to people in need by advancing a services research agenda to improve access, continuity, quality, equity, and value of mental healthcare nationwide, and to improve outcomes for people with serious mental illnesses (SMI). The NIMH-Sponsored Mental Health Services Research Conference (MHSR) is a highly productive venue for discussing topics of interest to NIMH audiences and disseminating NIMH's latest research findings directly to mental health clinicians, policy makers, administrators, advocates, consumers, and scientists who attend.

aimsThis Perspective summarizes and provides highlights from the 25th MHSR. It also reviews three papers presented at the 25th MSHR and subsequently published in the June 2023 special issue of The Journal of Mental Health Policy and Economics (JMHPE).

methodsThe authors review three papers published in the June 2023 special issue of JMHPE, identifying common themes across the papers and illustrating how the papers' findings promote key areas of NIMH research interests.

resultsThree important areas are highlighted in this review: (i) service user engagement in the research enterprise, (ii) financing the implementation of the 988 Suicide and Crisis Lifeline, and (iii) methods to predict mental health workforce turnover. DISCUSSION: These three papers illustrate key areas in which policy research can help to promote quality mental health care. One notable common theme across the papers is that of the role that end users play in the research enterprise. The papers focus on (i) service users and the value they bring to informing the practice of research, (ii) policy makers and the information they need to make evidence-informed decisions, and (iii) provider organization leadership, by using an innovative machine learning process to help organizations predict and address staff turnover. IMPLICATIONS FOR HEALTH CARE: NIMH encourages and often requires strong research practice partnerships to help ensure findings will be of value to end users and make their way into the practice setting. The three papers reviewed in this perspective are exemplars of how necessary stakeholder partnerships are to improve care for those with mental illness. IMPLICATIONS FOR HEALTH POLICIES: The highlighted papers (i) provide recommendations for structural changes to research institutions to increase service user engagement in all aspects of the research enterprise, (ii) identify policy solutions to improve fiscal readiness to address increased demand of 988, and (iii) pilot a novel data-driven approach to predict mental health workforce turnover, a significant problem in community mental health clinics, offering health system leaders and policy makers an opportunity to proactively intervene to help maintain continuity of staffing. IMPLICATIONS FOR FURTHER RESEARCH: Consistent with NIMH's Strategic Plan for Research and current funding announcements, there remains an urgent need to (i) develop strategies to better implement, scale, and sustain existing evidence-supported treatments and services, particularly in historically underserved communities, and (ii) develop, test, and evaluate new solutions to improve access, continuity, quality, equity, and value of care.ing and clinical outcomes remains uncertain.

Indexed as

Mental DisordersMental Health ServicesHealth Services ResearchHumansNational Institute of Mental Health (U.S.)PolicyUnited States

Identifiers

PMID37772507
PMCPMC11040969
OpenAlexW4387157121

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.