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Record W4388704669 · doi:10.1186/s13033-023-00611-9

Provider perceptions of the anticipated benefits, barriers, and facilitators associated with implementing a stepped care model for the delivery of addiction and mental health services in New Brunswick: a mixed-methods observational implementation study

2023· article· en· W4388704669 on OpenAlexafffundabout
Alesha C. King, Laura M. Harris-Lane, Stéphane Bérubé, Katie Burke, AnnMarie Churchill, Peter Cornish, Bernard Goguen, Alexia Jaouich, Joshua A. Rash

Bibliographic record

VenueInternational Journal of Mental Health Systems · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsGovernment of New BrunswickMemorial University of Newfoundland
FundersCanadian Institutes of Health Research
KeywordsObservational studyHealth administrationMental healthAddictionNursingHealth carePerceptionPsychologyMedicinePublic healthPsychiatryPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Providers who work within addiction and mental health (A&MH) services in New Brunswick (NB), Canada completed training in Stepped Care 2.0 and One-at-a-Time (OAAT) therapy as part of a provincial practice change initiative to implement a provincial stepped care model. The present study aimed to identify: (1) the perceived acceptability and feasibility of the SC2.0 model; (2) the perceived benefits, barriers, and facilitators to implement SC2.0 in practice; and (3) perceived impacts on clinical practice. METHODS: This is a mixed-methods observational implementation study. Quantitative surveys were completed after training courses. Open-ended responses were collected after completion of SC2.0 training. A subset of providers who completed surveys were asked to participate in semi-structured interviews. Descriptive statistics were used to describe results from surveys. Open-ended responses and semi-structured interviews were compiled and thematically synthesized in an iterative process using a grounded theory framework. Quantitative and qualitative data were triangulated to build an in-depth understanding of provider perceptions. RESULTS: 316 providers completed surveys and responded to open-ended prompts. Interviews were completed with 28 of those providers. SC2.0 was deemed to be acceptable, a suitable fit, and feasible to implement. Perceived benefits included: (1) timely access to services; (2) increased practice efficiency; and (3) increased availability of services. Perceived barriers included: (1) insufficient availability of resources to populate a SC2.0 continuum of care; (2) provider complacency with their current practice; and (3) difficulty for clients to accept and adjust to change. CONCLUSIONS: Identifying the perceived benefits, facilitators, and barriers to adopting stepped care in practice can lead to targeted implementation strategies and the collection of data that can inform continuous improvement cycles.

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)0.012
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.566
Threshold uncertainty score0.863

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.018
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.244
GPT teacher head0.587
Teacher spread0.343 · 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 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
Published2023
Admission routes3
Has abstractyes

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