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Enregistrement W2292254795 · doi:10.22605/rrh3601

Peer support for people with chronic conditions in rural areas: a scoping review

2016· review· en· W2292254795 sur OpenAlexafffundabout
Heidi Lauckner, Susan Hutchinson

Notice bibliographique

RevueRural and Remote Health · 2016
Typereview
Langueen
DomaineHealth Professions
ThématiqueMental Health and Patient Involvement
Établissements canadiensDalhousie University
Organismes subventionnairesDalhousie University
Mots-clésCINAHLPsycINFOContext (archaeology)Peer supportRural areaPsychological interventionInclusion (mineral)MedicineChronic conditionGrey literatureRural healthGerontologyNursingPsychologyMEDLINEPolitical scienceSocial psychologyGeography

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION: Chronic conditions are a growing healthcare concern. People living in rural regions are particularly affected because many barriers exist to accessing services and supports. Peer support for chronic condition self-management, where people living with chronic conditions learn about how to care for themselves and maintain their health from people also living with chronic conditions, is one approach gaining recognition. What remains unknown are the unique challenges and strategies associated with peer support for chronic condition self-management in rural contexts. In order to inform the development of peer supports in the authors' local context in rural eastern Canada, a scoping review was undertaken to discover community-based peer support initiatives for adults in rural settings living with chronic conditions. METHODS: The authors followed established scoping review methods to answer the research question What is known from the existing literature about the key features and potential formats of community-based peer support initiatives for adults living with chronic conditions in rural settings? Six databases (CINAHL, PubMed, Sociological Abstracts, Embase, Cochrane Libraries and PsycInfo) were searched using the following concepts: chronic conditions, peer support, community-based and rural context. Two researchers reviewed the titles and/or abstracts of the 1978 articles retrieved from the initial search to include articles that were in English, published in 2000 to 2014, and that explicitly discussed rural programs/interventions with peers that were community-based. The initial screen excluded 1907 articles, leaving 71 articles, which were read by two research members in light of the inclusion/exclusion criteria. Thirteen articles representing 10 separate programs were included and analyzed using qualitative content analysis. RESULTS: Included programs were from the USA, Australia and Canada. A range of formats (telecommunications only, in-person meetings only, or a combination of both) were used. Peer leaders had varied experiences with chronic conditions and received training in content and facilitation skills. Peer leaders were provided with ongoing support. Program participants received training on chronic conditions, and programs provided opportunities for social support and the development of new skills. Programs focused on creating social connections, reducing stigma, ensuring relevance and promoting empowerment. Of the nine programs that reported outcomes, eight reported positive outcomes and one reported mixed results. DISCUSSION: Consistent with the extant literature, the programs identified unique issues faced by people with chronic conditions in rural areas that these programs addressed. The key findings of this scoping review are as follows: 1. A combination of telecommunications with some face-to-face meetings can support the accessibility of peer support programs in rural areas. 2. Core elements of these programs are the provision of social support and skill development. 3. Peer leaders benefit from skills training and ongoing support. 4. Sustainability of such programs is complex and requires multiple strategies. CONCLUSIONS: Cultural relevance, ongoing support and the use of telecommunications were key features of rural peer support programs. Guiding questions to facilitate a community consultation around these findings are provided. Peer support chronic condition self-management programs require further research.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,011
score de la tête « metaresearch » (Gemma)0,059
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,017
Score d'incertitude au seuil0,058

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0110,059
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,003
Bibliométrie0,0170,018
Études des sciences et des technologies0,0020,001
Communication savante0,0050,004
Science ouverte0,0020,003
Intégrité de la recherche0,0030,002
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,163
Tête enseignante GPT0,488
Écart entre enseignants0,325 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeRevue systématique
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations60
Publié2016
Routes d'admission3
Résumé présentoui

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