Closing the health equity gap: evidence-based strategies for primary health care organizations
Bibliographic record
Abstract
INTRODUCTION: International evidence shows that enhancement of primary health care (PHC) services for disadvantaged populations is essential to reducing health and health care inequities. However, little is known about how to enhance equity at the organizational level within the PHC sector. Drawing on research conducted at two PHC Centres in Canada whose explicit mandates are to provide services to marginalized populations, the purpose of this paper is to discuss (a) the key dimensions of equity-oriented services to guide PHC organizations, and (b) strategies for operationalizing equity-oriented PHC services, particularly for marginalized populations. METHODS: The PHC Centres are located in two cities within urban neighborhoods recognized as among the poorest in Canada. Using a mixed methods ethnographic design, data were collected through intensive immersion in the Centres, and included: (a) in-depth interviews with a total of 114 participants (73 patients; 41 staff), (b) over 900 hours of participant observation, and (c) an analysis of key organizational documents, which shed light on the policy and funding environments. RESULTS: Through our analysis, we identified four key dimensions of equity-oriented PHC services: inequity-responsive care; trauma- and violence-informed care; contextually-tailored care; and culturally-competent care. The operationalization of these key dimensions are identified as 10 strategies that intersect to optimize the effectiveness of PHC services, particularly through improvements in the quality of care, an improved 'fit' between people's needs and services, enhanced trust and engagement by patients, and a shift from crisis-oriented care to continuity of care. Using illustrative examples from the data, these strategies are discussed to illuminate their relevance at three inter-related levels: organizational, clinical programming, and patient-provider interactions. CONCLUSIONS: These evidence- and theoretically-informed key dimensions and strategies provide direction for PHC organizations aiming to redress the increasing levels of health and health care inequities across population groups. The findings provide a framework for conceptualizing and operationalizing the essential elements of equity-oriented PHC services when working with marginalized populations, and will have broad application to a wide range of settings, contexts and jurisdictions. Future research is needed to link these strategies to quantifiable process and outcome measures, and to test their impact in diverse PHC settings.
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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 | 0.320 | 0.402 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.016 | 0.011 |
| Science and technology studies | 0.008 | 0.016 |
| Scholarly communication | 0.029 | 0.033 |
| Open science | 0.010 | 0.036 |
| Research integrity | 0.021 | 0.016 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".