Activating Partnership Assets to Produce Synergy in Primary Health Care: A Mixed Methods Study
Bibliographic record
Abstract
Partnerships are an important mechanism to tackle complex problems that extend beyond traditional organizational divides. Partnerships are widely endorsed, but there is a need to strengthen the evidence base relating to claims of their effectiveness. This article presents findings from a mixed methods study conducted with the aim of understanding partnership processes and how various partnership factors contribute to partnership effectiveness. The study involved five multi-stakeholder partnerships in Canada and Australia working towards improving accessibility to primary health care for vulnerable populations. Qualitative data were collected through the observa-tion of 14 partnership meetings and individual semi-structured interviews (n = 16) and informed the adaptation of an existing Partnership Self-Assessment Tool. The instrument was administered to five partnerships (n = 54). The results highlight partnership complexity and the dynamic and contingent nature of partnership processes. Synergistic action among multiple stakeholders was achieved through enabling processes at the interpersonal, operational and system levels. Synergy was associated with partnership leadership, administration and management, decision-making, the ability of partnerships to optimize the involvement of partners and the sufficiency of non-financial resources. The Partnership Synergy framework was useful in assessing the intermediate outcomes of ongoing partnerships when it was too early to assess the achievement of long-term intended outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".