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Record W3203212491 · doi:10.1002/hsr2.397

Improving primary health care through partnerships: Key insights from a cross‐case analysis of multi‐stakeholder partnerships in two Canadian provinces

2021· article· en· W3203212491 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealth Science Reports · 2021
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsUniversity of CalgaryMcGill UniversitySt. Mary's UniversityUniversity of TorontoSt Mary's Hospital Centre
FundersCanadian Institutes of Health ResearchUniversity of New South WalesMonash UniversityLa Trobe UniversityUniversity of AdelaideMcGill UniversityAustralian GovernmentUniversité de SherbrookeAustralian Primary Health Care Research Institute, Australian National UniversityPrimary Health Care Research, Evaluation and Development
KeywordsGeneral partnershipStakeholderContext (archaeology)Public relationsBusinessKnowledge managementInterpersonal communicationHealth careProcess managementPolitical sciencePsychology

Abstract

fetched live from OpenAlex

BACKGROUND AND AIMS: Multi-stakeholder partnerships offer strategic advantages in addressing multi-faceted issues in complex, fast-paced, and rapidly-evolving community health contexts. Synergistic partnerships mobilize partners' complementary financial and nonfinancial resources, resulting in improved outcomes beyond that achievable through individual efforts. Our objectives were to explore the manifestations of synergy in partnerships involving stakeholders from different organizations with an interest in implementing organizational solutions that enhance access to primary health care (PHC) for vulnerable populations, and to describe structures and processes that facilitated the work of these partnerships. METHODS: This was a longitudinal case study in two Canadian provinces of two collaborative partnerships involving decision makers, academic representatives, clinicians, health system administrators, patient partners, and representatives of health and social service organizations providing services to vulnerable populations. Document review, nonparticipant observation of partnerships' meetings (n = 14) and semi-structured in-depth interviews (n = 16) were conducted between 2016 and 2018. Data analysis involved a cross-case synthesis to compare the cases and framework analysis to identify prominent themes. RESULTS: Four major themes emerged from the data. Partnership synergy manifested itself in the following: (a) the integration of resources, (b) partnership atmosphere, (c) perceived stakeholder benefits, and (d) capacity for adaptation to context. Synergy developed before the intended PHC access outcomes could be assessed and acted both as a dynamic indicator of the health of the partnership and a source of energy fuelling partnership improvement and vitality. Synergistic action among multiple stakeholders was achieved through enabling processes at interpersonal, operational, and system levels. CONCLUSIONS: The partnership synergy framework is useful in assessing the intermediate outcomes of ongoing partnerships when it is too early to evaluate the achievement of long-term intended outcomes. Enabling processes require attention as part of routine partnership assessment.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.006
Science and technology studies0.0040.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.266
GPT teacher head0.474
Teacher spread0.208 · 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