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Record W4411887264 · doi:10.1016/j.eclinm.2025.103317

Development of a World Health Organization indicator and corresponding questions to measure effective coverage of rehabilitation

2025· article· en· W4411887264 on OpenAlexaff
Wouter DeGroote, Pierre Côté, Jessica J. Wong, Sheilah Hogg‐Johnson, Linamara Rizzo Battistella, George Kwok Chu Wong, Jan Hartvigsen, Jill A. Hayden, Rajani Mullerpatan, Farooq Azam Rathore, Hana Alsobayel, Margareta Nordin, Dan Kajungu, Jae‐Young Lim, Rafael Lozano, Antony Duttine, Melanie Cowan, Leanne M Riley, Somnath Chatterji, Alarcos Cieza

Bibliographic record

VenueEClinicalMedicine · 2025
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsDalhousie UniversityCanadian Chiropractic AssociationCanadian Memorial Chiropractic CollegeOntario Tech University
FundersWorld Health Organization
KeywordsMedicineMeasure (data warehouse)RehabilitationPhysical therapyData mining

Abstract

fetched live from OpenAlex

Background: Rehabilitation services are essential health services that should be made available to a population. Measuring effective coverage requires the assessment of whether a population's health services needs are met and whether they are met through quality interventions that produce the desired health gain. We propose a global indicator and corresponding questions to measure effective coverage of rehabilitation through population-based surveys. Methods: An indicator to measure effective coverage of rehabilitation requires a clear definition of rehabilitation service need, utilization, and quality. These terms are defined for a tracer health condition with impact on functioning and for which rehabilitation services are beneficial. We selected chronic primary low back pain as the tracer health condition. Following technical input from experts early 2023, we drafted and cognitively tested a set of questions from August till November 2023 to provide key data points for calculating the number of people living with chronic primary low back pain who received rehabilitation services. To determine whether quality rehabilitation services have been delivered, the health gain or benefit can be measured using a valid functioning measure with a known Minimal Important Change value, i.e. a minimal improvement that is meaningful to the client. We selected the shorter version of World Health Organization Disability Assessment Schedule 2.0 to meet this criterion. Findings: The proposed global indicator is defined as the proportion of adults with chronic primary LBP experiencing limitations in functioning that benefited from rehabilitation. There are eight corresponding questions to calculate the number of adults with chronic primary LBP experiencing limitations in functioning and utilizing rehabilitation services. The assessment of a benefit of received rehabilitation services is based on a change in functioning that is greater than the Minimal Important Change measured with World Health Organization Disability Assessment Schedule 2.0 12-item (simple scoring). The Minimal Important Change was set at 6 points following a secondary analysis of studies reporting on rehabilitation outcomes for people with chronic low back pain. Interpretation: We propose a global tracer indicator for measuring effective coverage of rehabilitation at the population level that is captured through population-based surveys. This global indicator uses chronic primary low back pain as the tracer health condition and World Health Organization Disability Assessment Schedule 2.0 12-item to assess whether quality interventions have been provided that produce the desired health gain. Funding: This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

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)0.002
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.305
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.349
Teacher spread0.338 · 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 designObservational
Domainnot available
GenreEmpirical

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
Published2025
Admission routes1
Has abstractyes

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