Perceived barriers to healthcare for persons living in poverty in Quebec, Canada: the EQUIhealThY project
Bibliographic record
Abstract
INTRODUCTION: Ensuring access to timely and appropriate primary healthcare for deprived patients is an issue facing all countries, even those with universal healthcare systems. There is a paucity of information on how patients living in a context of material and social deprivation perceive barriers in the healthcare system. This study combines the perspectives of persons living in poverty and of healthcare providers to explore barriers to responsive care for underserved persons with a view to developing equity-focused primary care. METHODS: In this participatory action research we used photovoice, together with a method known as 'merging of knowledge and practice' developed by ATD Fourth World, an international community organization working to eradicate poverty. The study was conducted in two teaching primary care practices in the Canadian province of Quebec. Participants consisted of 15 health professionals and six members of ATD Fourth World; approximately 60 group meetings were held. Data were analyzed through thematic analysis, in part with the involvement of persons living in poverty. RESULTS: Three main barriers to responsive care in a context of poverty were highlighted by all participants: the difficult living conditions of people living in poverty, the poor quality of interactions between providers and underserved patients, and the complexity of healthcare system organization and functioning. CONCLUSION: Our research revealed that unhealthy living conditions prevent persons living in poverty from accessing quality healthcare and maintaining good health. Also, the complexity of the healthcare system's organization and functioning has a negative impact on the interactions with healthcare providers. Changes in policy and practice are needed to address those barriers and to achieve greater equity and provide more responsive care for persons living in poverty.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".