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Record W4228997266 · doi:10.1037/prj0000519

Association between fidelity to the strengths model of case management and client outcomes: A quasi-experimental study.

2022· article· en· W4228997266 on OpenAlexaff
Éric Latimer, Tim Aubry, Beverley Barrett, Christiane Bergeron‐Leclerc, Catherine Briand, Janet Durbin, Rick Goscha, Terry Krupa, Maryann Roebuck, Catherine Vallée, Alissa Setliff, Mamadou Yauck

Bibliographic record

VenuePsychiatric Rehabilitation Journal · 2022
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsCanadian Mental Health AssociationDouglas College
Fundersnot available
KeywordsPsycINFOFidelityPsychologyGeneralized linear mixed modelMultilevel modelAssociation (psychology)Sample (material)DemographyClinical psychologyMedicineMEDLINEStatisticsComputer sciencePolitical scienceMathematics

Abstract

fetched live from OpenAlex

OBJECTIVE: Evidence concerning strengths model of case management (SMCM) remains mixed. This study aimed to test the hypotheses that higher fidelity to SMCM is associated with improved quality of life (QoL), hope, community participation, community functioning, more days of competitive employment and of independent living, and fewer days of hospitalization. METHODS: = 311) answered standardized questionnaires at 4.5-month intervals up to 18 months. Fidelity assessments were interpolated so they could be associated with questionnaire responses. Linear mixed-effects models and generalized linear models were estimated. RESULTS: Fidelity increased significantly, with all sites except one achieving or approaching good fidelity within 36 months. Fidelity was not significantly associated with any of the outcome measures, although all estimated directions of relationships were consistent with our hypotheses. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: In a pragmatic study of real-world implementation of the strengths model at seven sites, no statistically significant relationships between fidelity and outcomes were found. Low variation in fidelity across individuals, modest sample size, and limited ability to detect change over 18 months, may have contributed to these null findings. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.254
Threshold uncertainty score0.523

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.393
Teacher spread0.371 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2022
Admission routes1
Has abstractyes

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