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Record W4307508544 · doi:10.1186/s13023-022-02552-x

Effects of a support group leader education program jointly developed by health professionals and patients on peer leader self-efficacy among leaders of scleroderma support groups: a two-arm parallel partially nested randomised controlled trial

2022· article· en· W4307508544 on OpenAlexafffund
Brett D. Thombs, Brooke Levis, Marie‐Eve Carrier, Laura Dyas, Julia Nordlund, Lydia Tao, Kylene Aguila, Angelica Bourgeault, Violet Konrad, Maureen Sauvé, Kerri Connolly, Richard S. Henry, Nora Østbø, A.H. Levis, Linda Kwakkenbos, Vanessa L. Malcarne, Ghassan El‐Baalbaki, Marie Hudson, Amanda Wurz, S. Nicole Culos‐Reed, Robert W. Platt, Andrea Benedetti, Stephen Elrod, Catherine Fortuné, Amy Gietzen, Karen Gottesman, Karen Nielsen, Michelle Richard, Ken Rozee, Nancy Stephens

Bibliographic record

VenueOrphanet Journal of Rare Diseases · 2022
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsUniversity of the Fraser ValleyAlberta Health ServicesUniversité du Québec à MontréalMultiple Sclerosis Society of CanadaUniversity of CalgaryMcGill UniversityJewish General HospitalMcGill University Health Centre
FundersMitacsCanadian Institutes of Health ResearchScleroderma Society of OntarioNational Scleroderma Foundation
KeywordsPeer supportIntervention (counseling)Randomized controlled trialMedicinePhysical therapySupport groupSelf-efficacySelf-managementDistressFamily medicineClinical psychologyPsychologyNursingPsychiatrySocial psychologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: More people with rare diseases likely receive disease education and emotional and practical support from peer-led support groups than any other way. Most rare-disease support groups are delivered outside of the health care system by untrained leaders. Potential benefits may not be achieved and harms, such as dissemination of inaccurate information, may occur. Our primary objective was to evaluate the effects of a rare-disease support group leader education program, which was developed collaboratively by researchers, peer support group leaders, and patient organization leaders, compared to waitlist control, on peer leader self-efficacy among scleroderma support group leaders. METHODS: The trial was a pragmatic, two-arm partially nested randomised controlled trial with 1:1 allocation into intervention or waitlist control. Eligible participants were existing or candidate peer support group leaders affiliated with a scleroderma patient organization. Leader training was delivered in groups of 5-6 participants weekly for 13 weeks in 60-90 min sessions via the GoToMeeting® videoconferencing platform. The program included 12 general leader training modules and one module specific to scleroderma. Primary outcome was leader self-efficacy, measured by the Support Group Leader Self-efficacy Scale (SGLSS) immediately post-intervention. Secondary outcomes were leader self-efficacy 3 months post-intervention; emotional distress, leader burnout, and volunteer satisfaction post-intervention and 3 months post-intervention; and program satisfaction among intervention participants post-intervention. RESULTS: One hundred forty-eight participants were randomised to intervention (N = 74) or waitlist (N = 74). Primary outcome data were provided by 146 (99%) participants. Mean number of sessions attended was 11.4 (standard deviation = 2.6). Mean program satisfaction score (CSQ-8) was 30.3 (standard deviation = 3.0; possible range 8-32). Compared to waitlist control, leader self-efficacy was higher post-intervention [SGLSS; 16.7 points, 95% CI 11.0-22.3; standardized mean difference (SMD) 0.84] and 3 months later (15.6 points, 95% CI 10.2-21.0; SMD 0.73); leader volunteer satisfaction was significantly higher at both assessments, emotional distress was lower post-intervention but not 3 months later, and leader burnout was not significantly different at either assessment. CONCLUSIONS: Peer support group leader education improved leader self-efficacy substantially. The program could be easily adapted for support group leaders in other rare diseases. TRIAL REGISTRATION: NCT03965780 ; registered on May 29, 2019.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.019
GPT teacher head0.305
Teacher spread0.286 · 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 designRandomized trial
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

Citations10
Published2022
Admission routes2
Has abstractyes

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