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A COMMUNITY VISITING PILOT PROJECT EXPLORING THE BENEFITS OF ONE-TO-ONE PEER SUPPORT FOR STROKE SURVIVORS POST HOSPITAL DISCHARGE

2017· other· en· W6964715949 on OpenAlexaboutno aff

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPeer supportFeelingPilot programEmotional supportSocial supportStroke (engine)Community hospitalPeer groupScale (ratio)Peer review

Abstract

fetched live from OpenAlex

With a united vision of creating in-home peer support for stroke survivors, VHA Home HealthCare, March of Dimes Canada and the Toronto Stoke Networks collaborated to pilot an in-home, community peer support program based on the Peers Fostering Hope Hospital Program. Traditionally, peer support programs are offered in hospital or as group support in the community. This pilot is believed to be the first known community support program for stroke survivors in Ontario, Canada where trained peer volunteers have one-to-one visits with recent stroke survivors in their home or community setting. Four peer volunteers assisted with program development and eleven were recruited to provide in-home support. Operational and administrative processes, unique to providing visits in the community, were developed. Of particular importance to peer volunteers was education on delivering in-home/community support. Upon hospital discharge, clients were offered the opportunity to participate in this pilot program. Nine matches occurred and visits ranged from 1 to more than 13 over several months. Matches were based on geographical proximity and mutually agreed upon criteria (e.g. age, gender). Weekly or bi-weekly visits were scheduled in the clientu2019s home or an agreed upon community setting. Interviews were conducted with clients and peers. Clients spoke positively of their experience, from the hope and emotional support they received and knowledge provided by peers. Peers self-reported immense satisfaction and feelings of self-worth. Clients and peers equally benefited from this pilot program. Next steps include exploring identified challenges and implementation on a broader scale given its success.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.119
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0240.013
Science and technology studies0.0030.002
Scholarly communication0.0080.023
Open science0.0240.027
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0030.002

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 head0.247
GPT teacher head0.379
Teacher spread0.132 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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