Canada’s Evolving Medicare: Patient-Centred Care
Bibliographic record
Abstract
Canada's universal healthcare program, medicare, continues to evolve. An area of care that has gained increasing attention over the past several years is the general concept and specific components of patient centricity in healthcare delivery. This paper compares key measures of patient-centred care practices recorded in the 2013 and 2016 Health Care in Canada (HCIC) surveys, with the most recent preferences of the public and health professionals obtained in the 2018 HCIC survey, including priorities for improved future care. Timely access and caring care were the public's top-supported components of patient-centred care in the 2013 and 2016 HCIC surveys. In the 2018 HCIC survey, the Canadian public's overwhelming choice as the top-priority component of patient-centred care continued to be care readily and timely accessed, provided in a caring and respectful environment and based on need versus the ability to pay. In contrast, the public's lesser-supported option in all surveys was measurement and stakeholder feedback of actual care and outcomes. Among professionals in 2018, timely access and caring care were also rated as the top characteristics of patient-centred care, followed by care supported by research and expert opinion. Also similar to the public, Canadian healthcare professionals in 2018 rated measurement and feedback of delivered care and outcomes at the bottom of their support list. When the public and professionals were asked in the 2018 survey to prioritize their implementation choices for enhanced patient-centred care going forward, both stakeholder groups chose timely access as their first priority. Measurements and feedback of care and outcomes were rated at the lower end of choices in both groups in 2018. In summary, among key stakeholders, healthcare that is not readily and timely accessed remains the perceived greatest impediment to achievement of patient-centred care in contemporary Canadian medicare. The continued reality of undue delay in accessing healthcare in Canada is disturbing. A companion risk going forward is that all other components of patient-centred care will retreat to a level of irrelevance. Measurement and feedback of care, particularly its timeliness of access and outcomes, are necessary to monitor progress, stimulate innovation and ensure the success of Canadian medicare. Things can be better.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".