Outreach physiatry clinics in remote Manitoba communities: an economic cost analysis
Bibliographic record
Abstract
BACKGROUND: One in 5 people in Canada have a disability affecting daily activities, and, for rural patients, accessing lifelong physiatry care to improve function and manage symptoms requires complex and expensive travel. We compared the costs of new outreach physiatry clinics with those of conventional urban clinics in Manitoba. METHODS: Six outreach clinics were held from January 2018 to September 2019 in the remote communities of St. Theresa Point and Churchill, Manitoba. A general physiatry population was seen in these clinics, including patients with musculoskeletal and neurologic conditions seen in consultation and follow-up. We performed a societal cost-minimization analysis comparing outreach clinic costs to estimated costs of standard care at conventional outpatient clinics in Winnipeg. Outcomes of interest included direct costs to government health services and patients, and indirect opportunity cost of travel time. We calculated total costs, average cost per clinic visit and incremental costs for outreach clinics compared to conventional urban clinics. Costs were inflated to 2020 Canadian dollars. RESULTS: Thirty-one patients (48 visits) were seen at the outreach clinics. The total cost of providing outreach clinics, $33 136, was 21% of the estimated cost of standard care, $158 344. When only direct costs were included, outreach clinics cost an estimated 24% of conventional care costs. The average unit cost per outreach visit was $690, compared to $3299 per conventional visit, for an incremental cost of -$2609 per outreach visit. INTERPRETATION: An outreach physiatry visit in Manitoba cost an estimated 21% of a conventional urban outpatient visit, or 24% when only direct costs were included, with costs savings largely related to travel. Outreach physiatry care in this model provides substantial cost savings for the public health care system as the primary payer, and can reduce the travel cost burden for patients who do not have public travel funding.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".