MétaCan
Menu
← Back to cohort
Record W4394473776 · doi:10.6084/m9.figshare.13172606

Quality of reporting of economic evaluations in rehabilitation research: a systematic review

2020· review· en· W4394473776 on OpenAlexaff
Julie Flemming, Dagmara Chojecki, Lisa Tjosvold, Mike Paulden, Susan Armijo‐Olivo

Bibliographic record

VenueFigshare · 2020
Typereview
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRehabilitationQuality (philosophy)BusinessMedicinePhysical therapy

Abstract

fetched live from OpenAlex

The quality of reporting of health economic evaluations for rehabilitation services has been questioned, limiting the ability to provide accurate recommendations for health decisions. To document current overall reporting quality of the published literature for economic evaluations of rehabilitation services using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS), and to identify factors that could influence the quality of reporting. Electronic literature searches were performed using MEDLINE and the NHS Economic Evaluations Database via the Cochrane Library. Prospective rehabilitation economic evaluation articles from 2013 to 2020 were selected. Data were extracted by one reviewer and independently verified by a second reviewer. Title and abstracts of 3,454 papers were reviewed. 204 papers were selected for a full text screening. From those, 129 potential papers were identified to be included in this study. Only two databases were used in data collection, and papers were selected from 2013 to 2020 only. Inconsistent reporting in health economic evaluations of rehabilitation services has continued, despite the availability of the CHEERS checklist. The methods of the analyzed studies were frequently under-reported, thereby creating challenges in determining whether the results reported were valid.IMPLICATIONS FOR REHABILITATIONVariable quality of reporting has been identified in rehabilitation research assessing cost-effectiveness.To grow as an area of expertise, the field of rehabilitation must produce research demonstrating its cost-effectiveness.Both rehabilitation clinicians and funders would benefit from full and transparent information to identify optimal solutions for effective and efficient care. Variable quality of reporting has been identified in rehabilitation research assessing cost-effectiveness. To grow as an area of expertise, the field of rehabilitation must produce research demonstrating its cost-effectiveness. Both rehabilitation clinicians and funders would benefit from full and transparent information to identify optimal solutions for effective and efficient care.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.488
metaresearch head score (Gemma)0.808
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.512
Threshold uncertainty score0.632

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.4880.808
Meta-epidemiology (narrow)0.0030.004
Meta-epidemiology (broad)0.0170.017
Bibliometrics0.0240.031
Science and technology studies0.0030.007
Scholarly communication0.0150.016
Open science0.0060.006
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.902
GPT teacher head0.656
Teacher spread0.246 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designSystematic review
DomainReporting
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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueFigshare→Same topicHealth Systems, Economic Evaluations, Quality of Life→French-language works237,207→