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Enregistrement W2073862281 · doi:10.1093/eurpub/ckt133

Health in all policies--from what to how

2014· editorial· en· W2073862281 sur OpenAlexaboutno aff
Pekka Puska

Notice bibliographique

RevueEuropean Journal of Public Health · 2014
Typeeditorial
Langueen
DomaineSocial Sciences
ThématiqueHealth disparities and outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHealth promotionPublic healthSloganHealth educationCharterHealth policySocial determinants of healthEnvironmental healthDiseasePolitical scienceMedicineInternational healthPublic relationsNursing

Résumé

récupéré en direct d'OpenAlex

Already the Ottawa conference for health promotion in 1986 pointed out the importance of environment for our health.1 ‘Make the healthy choice the easy one’ was the famous slogan. But actually much earlier, in the 1800s, Rudolf Virchow emphasized the role of social conditions for public health. Hygienic improvements in environments and social conditions were seen as important measures for controlling the infectious disease epidemics of those times. With the emergence of chronic, non-communicable diseases as major public health problems, early response was clinical treatments. With the identification of their behavioural risk factors, public health work started to pay attention to prevention and to health education of people. But the Ottawa Charter argued that health education alone is insufficient. The role of the social and physical environments was again emphasized for disease prevention and health promotion. The North Karelia Project in Finland and several other projects pioneered the community-based preventive strategy, i.e. influencing the whole community for changing the lifestyles of the population.2 During Finland’s EU Presidency in 2006, Finland launched the concept ‘Health in All Policies’ to describe the need and concept of intersectoral decision making for improved public health. It was noted how the conditions in which people are born, grow, play, work, spend their leisure time and age influence powerfully their health. Thus the health sector alone has a limited possibility to influence public health. This concept was supported by the attention on social determinants of health, as described by the respective World Health Organization (WHO) Commission report.3 Influencing the root causes of ill health is crucial for promotion of public health and reduction of the unacceptable inequities in health. Thus the concepts of ‘Health in All Policies’, ‘Whole of Government’ or ‘intersectoral work’ became increasingly acknowledged as concepts for public health work. In this situation, WHO and the Government of Finland agreed to have ‘Health in All Policies’ as the topic of the Eighth Global Conference on Health Promotion that took place in Helsinki in June 2013. The idea was, through this large conference of experts and high-level decision makers, to examine this concept further. It is easy to agree that the health impacts of decisions in different policies should be taken into account. But what does that mean in practice? Emphasis should move from ‘what’ to ‘how’. What kind of theoretical perspectives and what kind of practical experiences are there in different parts of the world? The aim of the Eighth Global Conference on Health Promotion in Helsinki was to advise the Member States of WHO and WHO itself on how to employ this concept. The Helsinki statement and the subsequent ‘Framework for Country Action’ were the response and the main outcome. Further material is available in a book published by the Ministry of Social Affairs and Health and partners.4 The Helsinki Statement defines Health in All Policies as ‘an approach to public policies across sectors that systematically takes into account the health implications of decisions, seeks synergies, and avoids harmful health impacts in order to improve population health and health equity’. The statement recognizes that governments have a range of priorities in which health does not automatically gain precedence over other policy aims. But health considerations should be transparently taken into account in policy-making. This would open up opportunities for co-benefits across sectors and society at large. The Helsinki statement gives seven defined recommendations to national governments for guidance in implementation of Health in All Policies. They are as follows: – Commit to health and health equity as a political priority. – Ensure effective structures, processes and resources. – Strengthen the capacity of Ministries of Health to engage other sectors of government. – Build institutional capacity and skills. – Adopt transparent audit and accountability mechanisms. – Establish conflict of interest measures. – Include communities, social movements and civil society. The statement further calls on WHO to support Member States in this and strengthen its own capacity in this work. The statement also notes how this concept is crucial for WHO’s work with United Nations organizations and other international partners to achieve synergy and coherence in the work with Member states and also for the post 2015 Agenda. Although there is nothing radically new in the Helsinki Statement, it is hoped that countries would move forward and take practical actions to implement these clear recommendations. The success in prevention of current non-communicable diseases and major improvements in public health will be much dependent on such developments. Conflicts of interest: None declared.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,013
score de la tête « metaresearch » (Gemma)0,035
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,020
Score d'incertitude au seuil0,067

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0130,035
Méta-épidémiologie (sens strict)0,0030,001
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0040,013
Communication savante0,0160,016
Science ouverte0,0040,003
Intégrité de la recherche0,0200,046
Charge utile insuffisante (le modèle a refusé de juger)0,0080,004

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 Opus0,093
Tête enseignante GPT0,397
Écart entre enseignants0,304 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations14
Publié2014
Routes d'admission1
Résumé présentoui

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