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Enregistrement W6962419423 · doi:10.17605/osf.io/zvcqy

Defining Personal Recovery of Women with Mental Health Disorders in Custody Settings: A Rapid Review

2025· other· en· W6962419423 sur OpenAlexaboutno aff

Notice bibliographique

RevueOpen Science Framework · 2025
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMental healthContext (archaeology)OptimismMeaning (existential)Subject (documents)EmpowermentMentally ill

Résumé

récupéré en direct d'OpenAlex

Recovery is defined by principles such as the primacy of the individual, support in the journey toward a fulfilling life, hope, and the sense of being valued and respected (Governement du Quebec, 2022). The concept of recovery for individuals with mental health disorders has been the subject of numerous studies over the past decades (Llewellyn-Beardsley et al., 2019; van Weeghel et al., 2019). Several theoretical models have emerged from this literature; however, the CHIME model appears to be the one that has gained consensus within academic and clinical circles (van Weeghel et al., 2019). According to the authors of the CHIME model, personal recovery is a process comprising five domains, each of which includes several elements related to the same theme. These domains are connectedness, hope and optimism about the future, identity, meaning in life, and empowerment (Leamy et al., 2011). However, some researchers argue that the CHIME model needs to be adapted for specific subgroups. While CHIME has been found to be relevant in various subpopulations, additional components may need to be incorporated to better reflect the recovery process for individuals in specific contexts (e.g., those hospitalized in forensic settings) or those with personal characteristics (e.g., individuals with severe mental health disorders) that could present additional barriers to recovery (Senneseth et al., 2022; Stuart et al., 2015). One such subgroup facing additional recovery constraints is women with mental health disorders in closed settings, whether in detention or forensic environments. Indeed, gender-related factors and the context of detention may further hinder their recovery. In addition to dealing with a coercive environment where dignity is sometimes violated, these women face services originally designed for men that fail to meet their specific needs (Bright et al., 2022; de Vogel & Nicholls, 2016; Heilbrun et al., 2008; Nicholls et al., 2014). To the best of our knowledge, no literature review has yet been conducted to better understand how women with mental health disorders in closed settings define their recovery. Therefore, it is imperative to gather this literature in order to develop a definition that is specific to their experiences. Objective The aim of this rapid review is to gather existing literature on the definitions and conceptualizations of personal recovery for women with mental health disorders in custody settings, such as detention or forensic environments. Inclusion Criteria Population: o Adult women o Mental health disorders o Incarcerated or in forensic settings Interest: o At least one element of the definition or conceptualization of personal recovery Context: o Incarceration or forensic settings Outcomes: o Recovery Time: o Time: From 1990 to the present Geography: Global Language: Publications in English or French Type of studies:  Qualitative, quantitative, or mixed methods  Peer-reviewed publications  Primary data Exclusion Criteria • Secondary data publications, conference posters, and presentation abstracts • Publications where the data was collected from a mixed sample and it is impossible to identify the perspectives of women Search Method Databases: o PubMed o PsycINFO o CINAHL o Google Scolar Other methods to identify relevant publications: o Search through the references of articles found Review Method Screening and Inter-rater Agreement: The screening of articles will be conducted in two stages using the Covidence software. First, articles will be screened based on their title and abstract, then the selected articles will undergo a full-text review. At each stage, the screenings will be conducted by two reviewers working independently. Agreement and disagreements will be discussed by the two reviewers until consensus is reached. The double screening process will be completed when a Cohen’s Kappa of at least 0.9 is achieved. Following this, the first author will complete the screening alone. Quality Assessment: o Qualitative studies: Relevance, Appropriateness, Transparency, and Soundness (RATS) o Quantitative studies: Newcastle-Ottawa Scale Data Extraction: Data will be extracted using a pre-designed Excel sheet to capture the relevant information for this review. The information will be coded by the first author. Data Analysis: A thematic synthesis will be used to analyze the data.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,008
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,533
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0080,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,006
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0040,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,000

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 Opus0,011
Tête enseignante GPT0,320
Écart entre enseignants0,309 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

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

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