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Record W4393235229 · doi:10.26685/urncst.559

Evaluating Wait Time Management Strategies for Canadian Physiotherapy Services: A Scoping Review

2024· review· en· W4393235229 on OpenAlexafffundabout
Amy R.J. Wenzel, S. Wenzel

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2024
Typereview
Languageen
FieldHealth Professions
TopicHealthcare Operations and Scheduling Optimization
Canadian institutionsUniversity of Alberta
FundersUniversity of TorontoUniversity of Alberta
KeywordsPhysical therapyPhysical medicine and rehabilitationMedicine

Abstract

fetched live from OpenAlex

Background: Wait times for publicly-funded physiotherapy (PT) services in Canada — such as those for outpatients recovering from surgery or children with disabilities — are high, which may force people to pay for care or face deteriorating quality of life. Specific waitlist management strategies are needed to address this problem, but there is no review on the subject in Cochrane and much of the current research focuses on reducing wait times in emergency rooms or surgery departments. PT is a different context with more flexibility in appointment structure (ie. length of time or number of patients) and thus more possible strategies to reduce wait times. This scoping review aims to identify which of those have already been studied in the Canadian context. Methods: This review was conducted using Arksey and O’Malley’s 2005 framework. EMBASE, Medline, CINAHL, SportDiscus, Canada Commons and Canada Research Index were searched for articles which evaluated wait time management strategies (WTMS) specific for PT services in Canada. A gray literature search of all the PT association and college websites across Canada was also conducted. Results: The eleven studies meeting inclusion criteria were conducted across Canada and evaluated diverse strategies through a range of outcomes. The most frequent were structural/organizational outcomes, but wait times and feedback from professionals were also common. Most often, strategies involved changing how PT services were delivered. Discussion: Further research needs to be done as very few studies were found meeting inclusion criteria. Included studies did not consistently report the context, population, or outcome measurement in enough detail for stakeholders in healthcare to examine the clinical applicability or for future researchers to compare the effectiveness of interventions. No results from the gray literature search were included, suggesting that WTMS for PT are not an area of focus for PT associations and colleges in Canada. Conclusions: There is a need for further evaluation of wait time management strategies in the unique context of PT, with improved reporting to make evidence-based practice feasible. We suggest that stakeholder groups in healthcare should consider wait time management for PT a higher priority and encourage further research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.922
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0220.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.327
GPT teacher head0.655
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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".

Quick stats

Citations2
Published2024
Admission routes3
Has abstractyes

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