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Record W3041099015 · doi:10.11124/jbisrir-d-19-00387

Participation-focused interventions for stroke rehabilitation: a scoping review protocol

2020· review· en· W3041099015 on OpenAlexaff
Mary Egan, Dorothy Kessler, Patrick Duong, Nalia Gurgel-Juarez, Elizabeth Linkewich, Lindsey Sikora, Phyllis Montgomery, Anchal Chopra

Bibliographic record

VenueJBI Evidence Synthesis · 2020
Typereview
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsLaurentian UniversityQueen's UniversityBruyèreUniversity of Ottawa
Fundersnot available
KeywordsRehabilitationPsychological interventionStroke (engine)Physical medicine and rehabilitationProtocol (science)Physical therapyMedicineNursingAlternative medicineEngineeringPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: The objectives of this scoping review are to i) identify adaptive stroke rehabilitation interventions using metacognitive or self-management approaches targeting participation as an outcome; ii) determine the explicit and implicit theories underlying these interventions; and iii) ascertain the elements in each intervention. This review will develop a catalogue of these interventions, improving the understanding of how these interventions work, thereby facilitating efficient development and testing of participation-focused interventions. INTRODUCTION: Stroke rehabilitation interventions can be categorized as those aiming to correct impairment and those seeking participation improvement despite impairment. Impairment-focused interventions include a relatively small number of well-defined elements, generally based on motor learning or other types of learning theory. Participation-focused interventions span a large group of diverse interventions. The underlying theory is typically varied and often implicit, but many of these interventions are based on metacognitive or self-management approaches. An examination of the underlying theory and elements of participation-focused interventions would allow researchers to more effectively advance the science of these approaches. INCLUSION CRITERIA: The review will include published papers describing rehabilitation interventions using metacognitive or self-management approaches to improve participation among adults who have experienced a stroke. METHODS: The search will include JBI Evidence-Based Practice Database, MEDLINE, Embase, CINAHL, PsycINFO, OTSeeker, and PEDro databases. Studies will be selected according to a three-step process, including i) managing search results and removing duplicates, ii) title and abstract screening, and iii) full text screening. The extracted data will be presented in table form and narrative summary, aligning with the objectives and scope of this review.

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)0.085
metaresearch head score (Gemma)0.063
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.086
Threshold uncertainty score0.450

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0850.063
Meta-epidemiology (narrow)0.0050.006
Meta-epidemiology (broad)0.0150.012
Bibliometrics0.0200.019
Science and technology studies0.0070.005
Scholarly communication0.0110.011
Open science0.0070.009
Research integrity0.0090.008
Insufficient payload (model declined to judge)0.0860.019

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 head0.103
GPT teacher head0.479
Teacher spread0.376 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreProtocol

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
Published2020
Admission routes1
Has abstractyes

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