Addressing quadruple aims through primary care and public health collaboration: ten Canadian case studies
Bibliographic record
Abstract
BACKGROUND: Health systems in Canada and elsewhere are at a crossroads of reform in response to rising economic and societal pressures. The Quadruple Aim advocates for: improving patient experience, reducing cost, advancing population health and improving the provider experience. It is at the forefront of Canadian reform debates aimed to improve a complex and often-fragmented health care system. Concurrently, collaboration between primary care and public health has been the focus of current research, looking for integrated community-based primary health care models that best suit the health needs of communities and address health equity. This study aimed to explore the nature of Canadian primary care - public health collaborations, their aims, motivations, activities, collaboration barriers and enablers, and perceived outcomes. METHODS: Ten case studies were conducted in three provinces (Nova Scotia, Ontario, and British Columbia) to elucidate experiences of primary care and public health collaboration in different settings, contexts, populations and forms. Data sources included a survey using the Partnership Self-Assessment Tool, focus groups, and document analysis. This provided an opportunity to explore how primary care and public health collaboration could serve in transforming community-based primary health care with the potential to address the Quadruple Aims. RESULTS: Aims of collaborations included: provider capacity building, regional vaccine/immunization management, community-based health promotion programming, and, outreach to increase access to care. Common precipitators were having a shared vision and/or community concern. Barriers and enablers differed among cases. Perceived barriers included ineffective communication processes, inadequate time for collaboration, geographic challenges, lack of resources, and varying organizational goals and mandates. Enablers included clear goals, trusting and inclusive relationships, role clarity, strong leadership, strong coordination and communication, and optimal use of resources. Cases achieved outcomes addressing the Q-Aims such as improving access to services, addressing population health through outreach to at-risk populations, reducing costs through efficiencies, and improving provider experience through capacity building. CONCLUSIONS: Primary care and public health collaborations can strengthen community-based primary health care while addressing the Quadruple Aims with an emphasis on reducing health inequities but requires attention to collaboration barriers and enablers.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.010 |
| Science and technology studies | 0.031 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".