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Record W2943574291 · doi:10.1310/sci2502-164

Heterogeneity and Its Impact on Rehabilitation Outcomes and Interventions for Community Reintegration in People With Spinal Cord Injuries: An Integrative Review

2019· review· en· W2943574291 on OpenAlexaff
Shikha Gupta, Atul Jaiswal, Kathleen E. Norman, Vincent DePaul

Bibliographic record

VenueTopics in Spinal Cord Injury Rehabilitation · 2019
Typereview
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsCINAHLRehabilitationPsycINFOMedicinePsychological interventionSpinal cord injuryPopulationCommunity integrationMEDLINEPhysical medicine and rehabilitationPhysical therapyGerontologyNursingPsychiatryEnvironmental health

Abstract

fetched live from OpenAlex

Background: Various injury characteristics such as cause, level, severity, and time since injury divide individuals with spinal cord injury (SCI) into many subgroups. The heterogeneity among individuals' injuries and personal characteristics has significant implications for SCI rehabilitation practice, specifically directed toward community reintegration, which is a key goal of rehabilitation interventions for people with disabilities. Purpose: This study aims to summarize the evidence on attributes that make the SCI population heterogeneous, the impact of these attributes on community reintegration, and the implications of heterogeneity for rehabilitation interventions directed toward optimizing community reintegration. Methods: We used an integrative review approach to conduct this study. MEDLINE, PubMed, CINAHL, EMBASE, Google Scholar, and PsycINFO were searched from inception until May 2017. Out of 670 articles retrieved, 49 provided evidence on the impact of various attributes that make SCI heterogeneous on rehabilitation outcomes related to community reintegration. Results: An array of injury-related, personal, social, and environmental factors are associated with various rehabilitation outcomes that affect community reintegration of people with SCI. There is level 1 evidence that social support, self-efficacy, and self-esteem facilitate community reintegration among people with SCI while there is level 5 evidence that presence of psychological or medical complications decreases it. There is lack of clarity on the impact of injury-related factors on community reintegration. Conclusion: This integrative review found that social support and individuals' self-efficacy can improve community reintegration of people with SCI. However, evidence regarding the impact of injury characteristics on community reintegration is still underdeveloped. Approaches directed at community reintegration should involve components of psychosocial, physical, and vocational rehabilitation while considering personal and societal aspects of an individual's life.

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)0.008
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.012
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.037
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.006
Bibliometrics0.0120.010
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.140
GPT teacher head0.532
Teacher spread0.392 · 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 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

Citations32
Published2019
Admission routes1
Has abstractyes

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