Public Engagement in Health Policy‐Making for Older Adults: A Systematic Search and Scoping Review
Notice bibliographique
Résumé
INTRODUCTION: As the world's population ages, there has been increasing attention to developing health policies to support older adults. Engaging older adults in policy-making is one way to ensure that policy decisions align with their needs and priorities. However, ageist stereotypes often underestimate older adults' ability to participate in such initiatives. This scoping review aims to describe the characteristics and impacts of public engagement initiatives designed to help inform health policy-making for older adults. METHODS: A systematic search of peer-reviewed and grey literature (English only) describing public engagement initiatives in health policy-making for older adults was conducted using six electronic databases, Google and the Participedia website. No geographical, methodological or time restrictions were applied to the search. Eligibility criteria were purposefully broad to capture a wide array of relevant engagement initiatives. The outcomes of interest included participants, engagement methods and reported impacts. RESULTS: This review included 38 papers. The majority of public engagement initiatives were funded or initiated by governments or government agencies as a formal activity to address policy issues, compared to initiatives without a clear link to a specific policy-making process (e.g., research projects). While most initiatives engaged older adults as target participants, there was limited reporting on efforts to achieve participant diversity. Consultation-type engagement activities were most prevalent, compared to deliberative and collaborative approaches. Impacts of public engagement were frequently reported without formal evaluations. Notably, a few articles reported negative impacts of such initiatives. CONCLUSION: This review describes how public engagement practices have been conducted to help inform health policy-making for older adults and the documented impacts. The findings can assist policymakers, government staff, researchers and seniors' advocates in supporting the design and execution of public engagement initiatives in this policy sector. PATIENT OR PUBLIC CONTRIBUTION: Older adult partners from the McMaster University Collaborative for Health and Aging provided strategic advice throughout the key phases of this review, including developing a review protocol, data charting and synthesis and interpreting and presenting the review findings. This collaborative partnership was an essential aspect of this review, enhancing its relevance and meaningfulness for older adults.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».