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Record W2130109030

Better practices in collaborative mental health care: an analysis of the evidence base.

2006· review· en· W2130109030 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePubMed · 2006
Typereview
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPsycINFOCollaborative CarePsychological interventionMEDLINEMental healthSystematic reviewMedicineCochrane LibraryIntervention (counseling)Inclusion (mineral)ModalitiesHealth careEvidence-based practicePsychologyNursingMeta-analysisPsychiatryAlternative medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVES: To conduct a systematic review of the experimental literature in order to identify better practices in collaborative mental health care in the primary care setting. METHODS: A review of Canadian and international literature using Medline, PsycInfo, Embase, the Cochrane Library, and other databases yielded over 900 related reports, of which, 38 studies met the inclusion criteria. A systematic review and descriptive analysis is presented, with key conclusions and best practices. RESULTS: Successful collaboration requires preparation, time, and supportive structures, building on preexisting clinical relationships. Collaborative practice is likely to be most developed when clinicians are colocated and most effective when the location is familiar and nonstigmatizing for patients. Degree of collaboration does not appear to predict clinical outcome. Enhanced collaboration paired with treatment guidelines or protocols offers important benefits over either intervention alone in major depression. Systematic follow-up was a powerful predictor of positive outcome in collaborative care for depression. A clear relation between collaborative efforts to increase medication adherence and clinical outcomes was not evident. Collaboration alone has not been shown to produce skill transfer in PCP knowledge or behaviours in the treatment of depression. Service restructuring designed to support changes in practice patterns of primary health care providers is also required. Enhanced patient education was part of many studies with good outcomes. Education was generally provided by someone other than the PCP. Collaborative interventions that are part of a research protocol may be difficult to sustain long-term without ongoing funding. Consumer choice about treatment modality may be important in treatment engagement in collaborative care (for example, having the option to choose psychotherapy vs medication). CONCLUSIONS: A body of experimental literature evaluating the impact of enhanced collaboration on patient outcomes-primarily in depressive disorders-now exists. Better practices in collaborative mental health care are beginning to emerge.

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.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score0.798

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.173
GPT teacher head0.493
Teacher spread0.320 · 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