Stigma Toward Bariatric Surgery in the Netherlands, France, and the United Kingdom: Protocol for a Cross-cultural Mixed Methods Study
Notice bibliographique
Résumé
BACKGROUND: Bariatric surgery is an effective procedure for the treatment of obesity. Despite this, only 0.1% to 2% of eligible individuals undergo surgery worldwide. The stigma surrounding surgery might be a reason for this. Thus far, no research has systematically studied the nature and implications of bariatric surgery stigma. The limited studies on bariatric surgery stigma are often conducted from the perspective of the public or health care professions and either use small and nonrepresentative samples or fail to capture the full essence and implications of the stigma altogether, including attitudes toward patients and perpetrators of the stigma. In addition, studies from patients' perspectives are limited and tend to address bariatric surgery stigma superficially or implicitly. Finally, the extent to which cultural factors shape and facilitate this stigma and the experiences of patients have not yet been researched. OBJECTIVE: This study aimed to explore the perceptions, experiences, and consequences of bariatric surgery stigma from the perspective of the public, health care professionals, and patients before and after bariatric surgery. Furthermore, although the concept of stigma is universal, every society has specific cultural norms and values that define acceptable attributes and behaviors for its members. Therefore, this study also aimed to explore the extent to which cultural factors influence bariatric surgery stigma by comparing the Netherlands, France, and the United Kingdom. METHODS: This paper describes the protocol for a multiphase mixed methods research design. In the first part, we will conduct a scoping review to determine the current knowledge on bariatric surgery stigma and identify knowledge gaps. In the second part, semistructured interviews among patients before and after bariatric surgery will be conducted to explore their experiences and consequences of bariatric surgery stigma. In the third part, surveys will be conducted among both the public and health care professionals to determine the prevalence, nature, and impact of bariatric surgery stigma. Surveys and interviews will be conducted in the Netherlands, France, and the United Kingdom. Finally, data integration will be conducted at the interpretation and reporting levels. RESULTS: The study began in September 2020 and will continue through September 2025. With the results of the review, we will create an overview of the current knowledge regarding bariatric surgery stigma from patients' perspectives. Qualitative data will provide insights into patients' experiences with bariatric surgery stigma. Quantitative data will provide information related to the prevalence and nature of bariatric surgery stigma from the perspective of the public and health care professionals. Both qualitative and quantitative data will be compared for each country. CONCLUSIONS: The findings from this study will lead to new insights that can be used to develop strategies to reduce bariatric surgery stigma and improve access, use, and outcomes of bariatric surgery. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/36753.
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 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 | 0,086 | 0,071 |
| Méta-épidémiologie (sens strict) | 0,004 | 0,004 |
| Méta-épidémiologie (sens large) | 0,008 | 0,007 |
| Bibliométrie | 0,006 | 0,005 |
| Études des sciences et des technologies | 0,004 | 0,003 |
| Communication savante | 0,005 | 0,005 |
| Science ouverte | 0,004 | 0,004 |
| Intégrité de la recherche | 0,008 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,046 | 0,007 |
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 ».