Health workers' perceptions of access to care for children and pregnant women with precarious immigration status: Health as a right or a privilege?
Bibliographic record
Abstract
The Canadian government's recent cuts to healthcare coverage for refugee claimants has rekindled the debate in Canada about what medical services should be provided to individuals with precarious immigration status, and who should pay for these services. This article further explores this debate, focussing on the perceptions of healthcare workers in Montreal, a large multiethnic Canadian city. In April-June 2010, an online survey was conducted to assess how clinicians, administrators, and support staff in Montreal contend with the ethical and professional dilemmas raised by the issue of access to healthcare services for pregnant women and children who are partially or completely uninsured. Drawing on qualitative analysis of answers (n = 237) to three open-ended survey questions, we identify the discursive frameworks that our respondents mobilized when arguing for, or against, universal access to healthcare for uninsured patients. In doing so, we highlight how their positions relate to their self-evaluations of Canada's socioeconomic situation, as well as their ideological representations of, and sense of social connection to, precarious status immigrants. Interestingly, while abstract values lead some healthcare workers to perceive uninsured immigrants as "deserving" of universal access to healthcare, negative perceptions of these migrants, coupled with pragmatic considerations, pushed most workers to view the uninsured as "underserving" of free care. For a majority of our respondents, the right to healthcare of precarious status immigrants has become a "privilege", that as taxpayers, they are increasingly less willing to contribute to. We conclude by arguing for a reconsideration of access to healthcare as a right, and offer recommendations to move in this direction.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 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".