MétaCan
Menu
← Back to cohort
Record W4394276000 · doi:10.6084/m9.figshare.20044707

Peer support for traumatic injury survivors: a scoping review

2022· review· en· W4394276000 on OpenAlexaff
Marina B. Wasilewski, Jorge Rios, Robert Simpson, Sander L. Hitzig, Lesley Gotlib Conn, Crystal MacKay, Amanda L. Mayo, Lawrence R. Robinson

Bibliographic record

VenueFigshare · 2022
Typereview
Languageen
FieldMedicine
TopicTrauma and Emergency Care Studies
Canadian institutionsWest Park Healthcare CentreSunnybrook Health Science CentreToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsPeer supportTraumatic brain injuryPsychologyMedicineMedical emergencyPsychiatry

Abstract

fetched live from OpenAlex

Peers are uniquely able to draw on their lived experiences to support trauma survivors’ recovery. By understanding the functions and outcomes of peer support and the factors that impact implementation, evidence can be mobilized to enhance its application and uptake into standard practice. As such, we aimed to review the literature on peer support for trauma survivors to: examine the role of peer support in recovery; describe the nature and extent of peer support; Examine the influence of peer support on health and well-being; and identify the barriers and facilitators to developing and implementing peer support. Scoping review methodology as outlined by Arksey and O’Malley. Ninety-three articles were reviewed. Peer support was highlighted as an important component of care for trauma survivors and provided hope and guidance for the future post-injury. Most peer support programs were offered in the community and provided one-on-one support from peer mentors using various modalities. Interventions were successful when they involved knowledgeable peer mentors and maintained participant engagement. Prior negative experiences and stigma/privacy concerns deterred trauma survivors from participating. Peer support fulfills several functions throughout trauma survivors’ recovery that may not otherwise be met within existing health care systems. Implications for rehabilitationBy understanding the functions and outcomes and the factors that impact implementation of peer support, evidence can be mobilized to enhance its application and uptake into standard practice.Peers provide trauma survivors with socioemotional support as well as assistance in daily management and life navigation post-injury.Peer support provided hope and guidance for the future after injury and improved self-efficacy amongst trauma survivors.Peer support programs are most likely to be successful when they involve knowledgeable peer mentors, are flexibly delivered, align with organizations’ values and priorities, and have adequate resources and funding to support their implementation. By understanding the functions and outcomes and the factors that impact implementation of peer support, evidence can be mobilized to enhance its application and uptake into standard practice. Peers provide trauma survivors with socioemotional support as well as assistance in daily management and life navigation post-injury. Peer support provided hope and guidance for the future after injury and improved self-efficacy amongst trauma survivors. Peer support programs are most likely to be successful when they involve knowledgeable peer mentors, are flexibly delivered, align with organizations’ values and priorities, and have adequate resources and funding to support their implementation.

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)0.015
metaresearch head score (Gemma)0.061
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 score0.021
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.061
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0210.019
Science and technology studies0.0020.001
Scholarly communication0.0050.005
Open science0.0020.003
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.319
GPT teacher head0.467
Teacher spread0.149 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueFigshare→Same topicTrauma and Emergency Care Studies→French-language works237,207→