MétaCan
Menu
Retour à la cohorte
Enregistrement W7108331530 · doi:10.17605/osf.io/ma48j

A scoping review of peer support groups to support recovery in critically ill patients

2025· other· W7108331530 sur OpenAlexaff

Notice bibliographique

RevueOpen Science Framework · 2025
Typeother
Langue
Domaine
Thématique
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésPeer supportEmpowermentSocial supportCritically illSystematic reviewHealth careSupport group

Résumé

récupéré en direct d'OpenAlex

Review Title: A scoping review of literature on peer support groups to support recovery in critically ill patients Review objectives: To systematically review the literature on the types, characteristics, implementation, and impact of peer support groups used to support the recovery of survivors of critical illness. Abstract: Healthcare is shifting toward patient-centered care, empowering patients by emphasizing shared decision-making and personalized treatment. Within this framework, peer support groups (PSGs) are one way to help patients take charge of their own health and recovery. PSGs offer emotional, social, and practical support to individuals who have had similar experiences, fostering empowerment and mutual learning. The first strength of PSGs is their capacity to promote self-management and to enhance treatment adherence. By building a network of patients, these groups help decrease disparities and improve system responsiveness. In critical care settings, PSGs play a crucial role in delivering care. PSGs are essential because patients and their families experience prolonged uncertainty, emotional distress, and difficulty in protracted recovery associated with chronic critical illness. PSGs can help by providing people with shared experiences, practical ways to deal with problems, and emotional support, which are often difficult to obtain during regular clinical visits. While the existing literature suggests that PSGs may promote more sympathetic, family-centered methodologies among care teams, the degree and uniformity of such influence remain unclear. Rather than making definitive claims about institutional change, it is more appropriate to state that PSGs have the potential to support patient-centered practices. Given these gaps, a scoping review is needed to systematically map how PSGs are designed, delivered, and evaluated in critical care. Such a review will help clarify their mechanisms of benefit, identify where evidence is strong or lacking, and inform future implementation efforts in this population. This review aims to fill that gap by synthesizing the evidence on peer support groups used in the care critically ill patients, with a focus on their implementation and impact on patient-reported outcomes, psychological well-being, healthcare utilization, and care quality Language of the Review: English Review Question: 1. What types of peer support groups are used for the care of critically ill patients? 2. What are the barriers and facilitators to the use of peer support groups in the care of critically ill patients? 3. What impact do peer support groups have on patient-reported outcome measures in survivors of critical illness? Searches: Standard search will be done using databases like Medline, EMBASE, PsycInfo, CINAHL, Grey Literature, and studies will be evaluated for relevance if pertinent information is discovered Search terms: Search terms will include all possible combinations of "Peer Group", "Social Support", "Self-Help Groups", "Peer support", “Patient-to-patient”, “peer mentoring”, “reciprocal support”and "Intensive care unit," "Critical care", etc, tailored for each database to be used Time period: January 2010 to October 2025 Language restrictions: English only Condition or Domain Being Studied: Peer Support Groups in Critical Care Participants/Population: Inclusion: The recipients and providers of peer support are adults aged 18 years or older who have experienced critical illness or been admitted to an intensive care or high-acuity setting (e.g., ICU, HDU, ICU step-down units) Exclusion: The recipients and providers of peer support are aged below 18 years or patients who have not experienced a critical illness or not been admitted to an intensive care or high-acuity setting (e.g., ICU, HDU, ICU step-down units). Intervention(s), Exposure(s): Peer support groups Comparator(s)/Control: Not applicable Types of Study to be Included: Qualitative, quantitative, mixed methods, RCTs, cohort studies, and implementation reports with primary data, case series, case reports, protocols, editorials, conference abstracts, and secondary data analysis are to be included. Context: Any form of peer support, including peer mentorship, peer support groups, online peer support forums, structured peer counseling programs, delivered during ICU stay or after discharge (in wards, clinics, rehab programs, or community). Outcomes: Primary Outcome(s): Patient-reported outcomes, psychological well-being, quality of life, hospital readmission rates, and feasibility of peer support models as intervention. Secondary Outcome(s): NA Data Extraction: Two independent reviewers will use a standardized extraction form to extract data. Data items to be extracted and documented are study characteristics, participant demographics, intervention details, outcomes, and key findings. Any difference between reviewers will be resolved through a discussion or through consultation with a third reviewer. Data management will be done using Mendeley for references and Covidence for screening and extraction. Data to be extracted: study design Author and year details, type of study, country/region of study conducted, Data to be extracted: intervention of interest Characteristics of peer support interventions, feasibility of peer support interventions Data to be extracted: primary outcome(s) psychological well-being, quality of life, barriers and facilitators to the implementation of peer support interventions Risk of Bias (Quality) Assessment: Tools to be used: The JBI (Joanna Briggs Institute) critical appraisal tool will be used for different types of studies. Each study will be assessed independently by two reviewers, with discrepancies resolved through discussion. Strategy for Data Synthesis: Planned approach A comprehensive narrative synthesis will be conducted to summarize findings across all recruited studies Analysis of subgroups or subsets: Subgroup analyses - None planned Sensitivity - NA Publication bias - NA Type and Method of Review: Scoping review Language: English Country: India Dissemination Plans: Peer-reviewed publication in community engagement journals; Guide the design of a new peer support intervention at our institution Keywords: Peer support groups; Intensive care units ICUs; post-ICU recovery clinics Any Additional Information: This review will follow PRISMA guidelines for systematic reviews. The protocol has been developed following PRISMA-P guidelines for systematic review protocols.

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)0,018
score de la tête « metaresearch » (Gemma)0,111
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 enseignants0,018
Score d'incertitude au seuil0,098

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0180,111
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0060,007
Bibliométrie0,0160,015
Études des sciences et des technologies0,0020,002
Communication savante0,0050,005
Science ouverte0,0030,003
Intégrité de la recherche0,0040,003
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

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 Opus0,031
Tête enseignante GPT0,389
Écart entre enseignants0,358 · 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

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueOpen Science FrameworkTravaux en français237 207