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Record W2996849388 · doi:10.1136/bmjopen-2019-033247

The Choice and Partnership Approach to community mental health and addictions services: a realist-informed scoping review protocol

2019· article· en· W2996849388 on OpenAlexafffundabout
Leslie Anne Campbell, Sharon Clark, Caitlyn Ayn, Jill Chorney, Debbie Emberly, Julie MacDonald, Adrian MacKenzie, Daniel L. Marsh, Kylie Peacock, Lori Wozney

Bibliographic record

VenueBMJ Open · 2019
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsNova Scotia Department of Health and WellnessNova Scotia Health AuthorityIzaak Walton Killam Health CentreDalhousie University
FundersResearch Nova ScotiaNova Scotia Health Research Foundation
KeywordsMedicineGeneral partnershipMental healthProtocol (science)AddictionPublic healthHealth services researchCommunity-based participatory researchAlternative medicinePsychiatryMedical educationNursingParticipatory action researchEconomic growth

Abstract

fetched live from OpenAlex

INTRODUCTION: Early identification and appropriate treatment of child and adolescent mental health disorders can often be hampered by patchwork services with poorly planned or unclear pathways. The Choice and Partnership Approach (CAPA) is an evidence-based transformational model of community (community-based or outpatient) mental health and addictions services for children and adolescents that aims to better match services to needs and to improve timely access to care. CAPA has been variably implemented across jurisdictions but has not been comprehensively evaluated for its impact on system and client outcomes. Our research question is, 'To what degree does CAPA work, for whom and under what circumstances?'. The purpose of this review is twofold: (1) to gain an understanding of the extent and outcomes of the implementation of CAPA in community mental health and addictions services; and (2) to identify the role of context as it influences the implementation of CAPA and resulting client and system outcomes. METHODS AND ANALYSIS: We will conduct a realist-informed scoping review of the literature related to CAPA in either child and adolescent or adult community mental health and addictions services. Relevant studies, reports and documentation will be identified by searching the following online databases: MEDLINE, Embase, CINAHL, PsycINFO, Academic Search Premier, ERIC, Web of Science, Cochrane, Dissertations Abstracts, NCBI Bookshelf, PubMed Central and the Canadian Health Research Collection. The search strategy was developed by a health sciences library scientist and informed by a multidisciplinary team comprising methodological and content knowledge experts. The search will gather evidence from multiple online databases of peer-reviewed literature and grey literature repositories. All articles will be independently assessed for inclusion by pairs of reviewers. The key themes derived from a thematic analysis of extracted data will be presented in a narrative overview. ETHICS AND DISSEMINATION: Research ethics review is not required for this scoping review. The results will be disseminated through meetings with stakeholders (including clients and families, clinicians and decision-makers), conference presentations and peer-reviewed publication. The results of this review will inform an overarching programme of research, policy and quality indicator development to ultimately improve mental health and addictions care and subsequent mental health outcomes for children and adolescents.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.146
metaresearch head score (Gemma)0.109
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.146
Threshold uncertainty score0.773

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1460.109
Meta-epidemiology (narrow)0.0050.006
Meta-epidemiology (broad)0.0120.011
Bibliometrics0.0210.018
Science and technology studies0.0050.007
Scholarly communication0.0110.013
Open science0.0080.009
Research integrity0.0100.008
Insufficient payload (model declined to judge)0.0720.017

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 head0.529
GPT teacher head0.598
Teacher spread0.069 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

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

Citations7
Published2019
Admission routes3
Has abstractyes

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