MétaCan
Menu
Back to cohort
Record W2547740290 · doi:10.22159/jcr.2016v3i4.14130

A scoping review of need and unmet need for community based physiotherapy in Canada

2016· review· en· W2547740290 on OpenAlexaffabout
Sarah Wojkowski, Jenna Smith, Julie Richardson, Stephen Birch, Michael Boyle

Bibliographic record

VenueResearch Explorer (The University of Manchester) · 2016
Typereview
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineNormativeThematic analysisCategorizationPopulationHealth careGerontologyNeeds assessmentService (business)NursingFamily medicineQualitative researchEnvironmental healthBusinessComputer sciencePolitical science

Abstract

fetched live from OpenAlex

To investigate need and unmet need for community-based physiotherapy services (CBPTS) for Canadian adults. The scoping review was completed between May-September 2015. The methodology proposed by Arksey and O’Malley and the recommendations to advance scoping studies by Levac et al. were followed. The definitions of normative, felt, comparative, and expressed need were used to categorize need and the dimensions of availability, affordability, and acceptability was used to categorize unmet need. Two reviewers (SW, JS) independently reviewed 2265 abstracts and selected 191 articles for full-text review. Data extraction and thematic analyses were completed on 24 articles. Comparative need and service availabilities were the most frequent type and reason identified for need and unmet need respectively. Individuals from rural communities and persons living with chronic conditions more frequently identified barriers to accessing CBPTS. Unmet need for CBPTS exists in Canada. Physiotherapists must consider innovative service delivery models in order to maximize population health outcomes and minimize stress on health care systems like the Canadian population ages.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.359
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.284
GPT teacher head0.513
Teacher spread0.229 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
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

Citations4
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueResearch Explorer (The University of Manchester)Same topicGlobal Health Workforce IssuesFrench-language works237,207