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Record W1973090514 · doi:10.1080/14623730.2013.770320

Building mental health promotion capacity in health care: results from Phase I of a workforce development project

2013· article· en· W1973090514 on OpenAlexafffund
Alana B. Rauscher, Paola Ardiles, Shannon Griffin

Bibliographic record

VenueInternational Journal of Mental Health Promotion · 2013
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsProvincial Health Services Authority
FundersBritish Columbia Centre for Disease ControlProvincial Health Services AuthorityMental Health Commission
KeywordsMental healthWorkforceNursingHealth promotionWorkforce developmentHealth careService providerHRHISHealth policyBusinessMedicineService (business)Public relationsPublic healthPolitical scienceMarketingPsychiatry

Abstract

fetched live from OpenAlex

The development of mental-health-promoting health care systems is dependent on having a skilled and informed workforce to effectively integrate mental health promotion (MHP) into programme and service delivery. This paper describes Phase I (September 2009-July 2010) of Health Compass, an innovative, multi-phased project that aims to transform health care practice and shift organizational culture by enhancing the capacity of health care providers to further promote patient, client and family mental well-being. Phase I of Health Compass examined the current state of MHP within British Columbia's Provincial Health Service Authority health care services. The findings, based on group discussions and key informant interviews, examined health care providers' current understanding and knowledge of MHP; identified existing strategies, facilitators and barriers that help or hinder the incorporation of MHP into health care practice and services; and identified preferred learning modalities for development and piloting of future MHP resources in Phases II and III.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.152
GPT teacher head0.484
Teacher spread0.333 · 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.

Study designOther design
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
Published2013
Admission routes2
Has abstractyes

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