Evidence map›Paper›PMID 36460895›Full record

ArticleThe journal of behavioral health services & research2023

A Qualitative Evaluation of an Adapted Assertive Community Treatment Program: Perspectives During COVID-19.

Jennifer T Tran, Kristin A Kosyluk, Charles Dion, Katie Torres, Victoria Jeffries

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The journal of behavioral health services & research, 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
–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

1 citing paper in PubMed.

  1. 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.

Jennifer T TranDepartment of Mental Health Law & Policy, University of South Florida, 13301 Bruce B Downs Blvd, Tampa, FL, 33612, USA. jtgtran@usf.edu.ORCID 0000-0002-3007-2553
Kristin A KosylukDepartment of Mental Health Law & Policy, University of South Florida, 13301 Bruce B Downs Blvd, Tampa, FL, 33612, USA.
Charles DionDepartment of Mental Health Law & Policy, University of South Florida, 13301 Bruce B Downs Blvd, Tampa, FL, 33612, USA.
Katie TorresUniversity of South Florida, 13301 Bruce B Downs Blvd, Tampa, FL, 33612, USA.
Victoria JeffriesInstitute of Best Practices, UNC Center for Excellence in Community Mental Health, 101 Manning Drive First Floor, Chapel Hill, NC, 27514, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Pinellas County Empowerment Team (PCET) was an adapted assertive community treatment (ACT) program created to meet the needs of Pinellas County residents with serious behavioral health concerns and high frequency of hospitalization (medical and psychiatric) and incarceration. Recent research demonstrates that individuals participating in ACT programs can transition to lower-intensity services. To understand the needs and barriers in transitioning PCET clients to lower-intensity services and the unique experiences during the coronavirus (COVID-19) pandemic, the researchers conducted a qualitative evaluation which includes a case record review and in-depth interviews with clients of PCET and staff members. Our findings indicated several barriers to transitioning PCET clients, including a lack of sufficient behavioral health support outside the ACT program and some clients' concerns regarding their abilities once out of the program.

Indexed as

Community Mental Health ServicesCOVID-19Mental DisordersProblem BehaviorHospitalizationHumansProgram EvaluationAssertive community treatmentCOVID-19DischargeLower -intensity servicesSerious mental illness

Identifiers

PMID36460895
PMCPMC9718462

What OpenQuestion holds

Textmetadata
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.