Barriers and Facilitators to Implementation of Healthy Food and Drink Policies in Public Sector Workplaces: A Systematic Literature Review
Notice bibliographique
Résumé
Many countries and institutions have adopted policies to promote healthier food and drink availability in various settings, including public sector workplaces. However, studies reporting barriers and facilitators experienced by food vendors and caterers in providing healthy and nutritious foods and drinks have not been collated and synthesised, representing a significant gap in workplace health promotion knowledge. Our objective was to systematically synthesise evidence on barriers and facilitators relative to the implementation of and compliance with healthy food and drink policies aimed at the general adult population in public sector workplaces internationally. Nine scientific databases, nine grey literature sources, and government websites in key English-speaking countries were searched between April and June 2021. All identified records (n = 8559) were assessed for eligibility. Studies reporting barriers and facilitators were included irrespective of the study design and methods used, but they were excluded if they were published before the year 2000 or in a non-English language. Methodological strengths and limitations of the included studies were assessed with the CASP Qualitative Studies Checklist. Drawing on a thematic synthesis approach, primary findings were generated through research question-led coding and theme development. Forty-one studies were eligible for inclusion, and they were mainly from Australia, the United States, and Canada. The most common workplace settings were healthcare facilities, sports and recreation centres, and government agencies. Generally, poorly reported data collection and analysis methods were observed. Preliminary findings suggest that although vendors encounter challenges, there are also factors that support healthy food and drink policy implementation in public sector workplaces. Generated codes indicate that barriers and facilitators fall into five broad categories of financial ramifications, availability of healthier products, existence of supporting tools and resources, institutional leadership support, and communication between stakeholders. Understanding barriers and facilitators to successful policy implementation will significantly benefit stakeholders interested in or engaging in healthy food and drink policy development and implementation.
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 | 0,035 | 0,116 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,002 |
| Méta-épidémiologie (sens large) | 0,006 | 0,006 |
| Bibliométrie | 0,021 | 0,021 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,005 | 0,006 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».