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Record W4226276633 · doi:10.2196/35425

Online Peer Support for People With Parkinson Disease: Narrative Synthesis Systematic Review

2022· review· en· W4226276633 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJMIR Aging · 2022
Typereview
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsnot available
FundersHorizon 2020 Framework ProgrammeMarie CurieNational Institute for Health and Care Research
KeywordsLonelinessSocial supportPsychosocialPsychologyChecklistPeer reviewSocial isolationSystematic reviewAnonymityCoping (psychology)Peer supportMedical educationApplied psychologyClinical psychologyMedicineMEDLINESocial psychologyComputer sciencePsychiatryPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Parkinson disease (PD) significantly impacts the lives of people with the diagnosis and their families. In addition to the physical symptoms, living with PD also has an emotional impact. This can result in withdrawal from social roles, increasing the risk for social isolation and loneliness. Peer support is a way to stay socially connected, share experiences, and learn new coping skills. Peer support can be provided both in person and on the internet. Some of the advantages of online peer support are that it overcomes geographical barriers and provides a form of anonymity; moreover, support can be readily available when needed. However, the psychosocial impact of PD is still underresearched, and there is no systematic synthesis of online peer support for people with PD. OBJECTIVE: This review aims to explore the benefits and challenges of online peer support and identify successful elements of online peer support for people with PD. METHODS: The method selected for this systematic review is narrative synthesis. A total of 6 databases were systematically searched in April 2020 for articles published between 1989 and 2020. The quality of the included studies was assessed using the Critical Appraisal Skills Programme qualitative research checklist and the Downs and Black quality checklist. RESULTS: A total of 10,987 unique articles were identified through a systematic database search. Of these 10,987 articles, 8 (0.07%) were included in this review. Of the 8 studies, 5 (63%) were of good or high quality, 2 (25%) were of medium or fair quality, and 1 (13%) study was of poor quality. Web-based platforms included discussion forums, a web-based virtual world, and Facebook groups. Most papers reported on text-based communication. The included studies reported on sharing social support and personal experiences. Successful elements included increasing similarity between members and offering the opportunity to directly ask questions to a physician. Challenges included members leaving without a warning and PD symptoms hindering the use of technology. CONCLUSIONS: Peer support can improve social support and help people with PD in living meaningful and satisfying lives. Peer support is unique and cannot be replaced by family members, friends, or health care professionals. Online peer support can be a solution for those who do not have access to an in-person support group or whose PD symptoms restrict them from travelling. However, research on the personal experiences of those who engage in online peer support and potential barriers in accessing it remains limited. Future research could use qualitative methods to explore these fields further.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.506
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.241
GPT teacher head0.488
Teacher spread0.246 · 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