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Record W7044607463

Working Together across Primary Care, Mental Health & Addictions: Exploring the Association between the Formalization of Organizational Partnerships & Collaboration among Staff Members

2012· dissertation· en· W7044607463 on OpenAlexfundaboutno aff

Bibliographic record

VenueTSpace (University of Toronto) · 2012
Typedissertation
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchHealthForceOntarioInstitute of Population and Public HealthUniversity of TorontoOntario Ministry of Health and Long-Term CareHealth CanadaGovernment of OntarioInstitute of Health Services and Policy ResearchCanadian Health Services Research Foundation
KeywordsMental healthMental health serviceService (business)Phase (matter)Work (physics)Service providerQualitative researchAssociation (psychology)Addiction
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to explore the relationship between the formalization of inter-organizational partnerships and collaboration among staff members working together across primary care, mental health and addition organizations to provide services to adults with complex mental health and addiction needs. Phase I of the study provided an environmental scan of existing partnerships among Family Health Teams (FHTs) and Community Health Centres (CHCs), and the Mental Health and/or Addiction (MHA) organizations they partner with, in the province of Ontario (Canada). Phase II explored the relationship between formalization and a) administrative collaboration and b) and service delivery collaboration. The hypotheses proposed that staff members who are part of formalized partnerships would report higher levels of collaboration. Phase III explored how formal and informal partnerships and collaboration are experienced by the administrative and service provider staff members who work across FHTs, CHCs and MHAs organizations. Using a mixed methods approach, data were collected using electronic surveys and telephone interviews. The results of Phase I indicated that FHTs and CHCs in Ontario have between 1-3 partnerships with MHA organizations. Most are informal partnerships, have existed for less than 5 years, and most staff members (partners) interact on a monthly basis. The quantitative results of Phase II showed no significant relationship between formalization and either form of collaboration. The qualitative findings from Phase III provide two key contributions. First, the results of the interviews may help explain why collaboration was not higher in formalized partnerships, as demonstrated by the range of advantages and disadvantages experienced by administrators and service providers in both formal and informal partnerships. Second, the findings illuminate factors related to the process of creating and/or formalizing partnerships, suggesting that there may be other factors that mediate or have a direct impact on the relationship between formalization and collaboration. By bringing together the study findings, the study addresses a gap in the literature by proposing a pathway through which formalization may be associated with collaboration. The results of the study provide opportunities for future research to help improve the quality and accessibility of services to adults with complex mental health and addiction needs.

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)0.015
metaresearch head score (Gemma)0.042
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.042
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.006
Scholarly communication0.0050.004
Open science0.0010.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.268
GPT teacher head0.485
Teacher spread0.217 · 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

Citations0
Published2012
Admission routes2
Has abstractyes

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