Evidence map›Paper›PMID 36057000›Full record

Observational studyCommunity mental health journal2023

Comparative Effectiveness of Integrated Peer Support and Clinical Staffing Models for Community-Based Residential Mental Health Rehabilitation: A Prospective Observational Study.

Stephen Parker, U Arnautovska, N Korman, M Harris, F Dark

Abstract readObservational Study
In one paragraph

Observational study in Community mental health journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
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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.

Stephen ParkerSchool of Medicine, The University of Queensland, Brisbane, Australia. Stephen.parker@uq.edu.au.ORCID 0000-0002-6022-3981
U ArnautovskaSchool of Medicine, The University of Queensland, Brisbane, Australia.
N KormanSchool of Medicine, The University of Queensland, Brisbane, Australia.
M HarrisSchool of Public Health, The University of Queensland, Brisbane, Australia.
F DarkSchool of Medicine, The University of Queensland, Brisbane, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This observational study compared the outcomes of consumers receiving community-based residential mental health rehabilitation support in Australia under a clinical staffing model and an integrated staffing model where Peer Support Workers are the majority component of the staffing profile. Reliable and clinically significant (RCS) change between admission and discharge in functional and clinical assessment measures were compared for consumers receiving care under the clinical (n = 52) and integrated (n = 93) staffing models. Covariate analyses examined the impact of known confounders on the outcomes of the staffing model groups. No statistically significant differences in RCS improvement were identified between the staffing models. However, logistic regression modelling showed that consumers admitted under the integrated staffing model were more likely to experience reliable improvement in general psychiatric symptoms and social functioning. The findings support the clinical and integrated staffing models achieving at least equivalent outcomes for community-based residential rehabilitation services consumers.

Indexed as

Mental DisordersPsychiatric RehabilitationAustraliaHospitalizationHumansPatient DischargePeer supportRehabilitationResidential servicesSchizophreniaStaffing model

Identifiers

PMID36057000
PMCPMC9981709

What OpenQuestion holds

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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.