[From stigma to exclusion of individuals with mental health conditions: Analyzing the perceptions and emotions of stakeholders engaged in the work return and reintegration processes].
Notice bibliographique
Résumé
Objectives The stigma surrounding individuals with mental conditions persists, making their return to work or access to employment complex. These negative stereotypes are often internalized by the affected individuals, leading to self-stigmatization. Literature shows that the medical and entrepreneurial sectors harbor many prejudices and apprehensions towards these individuals. In contrast, the fields of rehabilitation and employment support, which frequently interact with these individuals and use recovery approaches, show less resistance. Although the stigma of these populations is relatively well-documented, few studies have differentiated the perceptions of actors responsible for implementing their return and reintegration into work. This study aims to identify and compare these actors' tendencies to stigmatize individuals with mental conditions and their intentions of professional inclusion. Method As part of the international survey by the community of practice in mental health and work (CoP-SMT), data was collected through an online quantitative survey involving 586 actors in the return to work and reintegration processes. Four actor systems were identified: health, corporate, employment support, and individuals with mental disorders on sick leave or job seeking. The questionnaire included a two-factor stigma scale (perceived organizational burden and negative emotions) and a professional inclusion intention measure with three indicators (avoidance, paternalism, and collaboration). Factor analysis and internal consistency validated the psychometric qualities of these measures. Variance analyses with post-hoc comparisons allowed the comparison of responses from categories of 20 or more actors, reducing the sample to 473 participants. Results The results highlight a significant effect of the actor system on stigma and professional inclusion intention. They reveal that actors involved before employment (rehabilitation and employment support) are less prone to stigmatize and more open to including individuals returning or reintegrating into work than those within the company (hierarchy, colleagues, and occupational health professionals). They also show the persistence of self-stigmatization among individuals with mental health issues returning or reintegrating into work. Conclusion To better interpret the results, the experience of coexistence and inclusion in the ordinary work environment of individuals with mental health conditions is explored, considering the roles of various stakeholders. Knowledge, conceptual orientations around mental health, and collaborative multidisciplinary work are suggested as anti-stigma strategies. Based on these findings, research perspectives and recommendations are formulated.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,000 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».