Improving Administrative Outcomes in Physiotherapy by Adopting Open-Access Booking
Bibliographic record
Abstract
Purpose: Long wait times for physiotherapy are associated with poorer health trajectories for clients. Clients’ experiences with physiotherapy services in Saint John were suboptimal; thus, this study explored making administrative changes to improve those experiences. All physiotherapy services adopted an administrative model called open-access booking (OAB), which blended elements of advanced access, triage, and centralized wait lists. Method: OAB was instituted in the first week of February 2017 and has been active since. The researcher accessed more than 20,000 anonymized case records spanning 5 years (February 2014–January 2019) and compared the 3-year pre-OAB phase with the 2-year OAB phase using interrupted time series analysis models. Results: OAB appeared to not be associated with changes in client volume, but it was associated with fewer “on-paper” clients, shorter wait times to first appointment, more consistent record keeping, a greater likelihood of being discharged after one appointment, and fewer appointments before discharge. There was less variability in these outcomes after the adoption of OAB, suggesting a more stable client experience with the physiotherapy system. Conclusions: OAB appears to be associated with improved administrative outcomes, but strict causality cannot be assessed. The results are promising but not conclusive.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".