Integrating Health Literacy Policy into Health Reform in Austria (within the context of a European perspective)
Notice bibliographique
Résumé
Within the European context Austrian health policy rather early got interested in measuring and improving population health literacy (HL) and systematically invested in integrating HL in its health reforms in the last decade. Therefore within a HEN report on policies of HL (Rowlands et al 2018) Austrian HL policy is well represented and Austria is the only European county included in a recent article on national policies and strategies for HL (Trezona, Rowlands and Nutbeam, 2018). Based on the early experiences in measuring population HL in the US, Canada and Australia, but also in Switzerland, Austria became interested in measuring HL and was active in initiating the first European comparative study on population HL (HLS-EU). It did not only take part in this study but was responsible for the work package on analyzing and reporting results of this study and undertook follow up studies on HL in Austrian regions, HL of adolescent, HL of selected migrant groups and on organizational HL of hospitals. Comparative results of the HLS-EU study were published at the time when Austrian health targets were in discussion and these results showed that HL in Austria was rather limited compared to the other participating European countries. Therefore HL got high attention in the process of defining and deciding of all in all 10 health targets with target no. 3 on ＂Improving the Health Literacy of the Population＂. Health targets and further measures were developed in a participatory transparent process involving many relevant stakeholders and citizens. Further on the HL health target was prioritized and a catalogue of measures was developed. Aspects relating to the healthcare field are being implemented through the ongoing healthcare reform process, while aspects relating to the 'health in all policies' dimensions of HL are being implemented through the newly established intersectoral Austrian Health Literacy Platform. This platform among other activities organizes national annual HL conferences (with about 300 participants on average), offers a web site and a regular newsletter. From early on, among the chosen topics the relational character of the HL concept has been considered and measures for improving organizational HL respectively health literate organizations have been supported. Due to the wish of the Austrian government to have regular comparative surveys in Europe for monitoring and benchmarking population and organizational HL, Austria together with Germany, Switzerland, Luxemburg and Liechtenstein engaged in initiating an Action Network Measuring Population and Organizational Health Literacy (M-POHL) within the European Health Information Initiative (EHII) of WHO-Europe. Austria is chairing M-POHL in its initial phase. At M-POHLs kick-off meeting in Vienna The Vienna Statement on the measurement of population and organizational health literacy in Europe＂ was launched. About 20 counties from the WHO-Europe region are already involved in the action network; a first HL population survey is prepared for 2019. First Conclusions: To get public and political attention population health literacy has to be measured comparatively and results have to be reported and discussed publicly. Measures for improving health literacy have to be integrated into ongoing general health reforms and policy, but specific institutions supporting continuous development of HL have to be created, installed and supported. To be successful many different stakeholders have to be recruited and coordinated. International monitoring of HL can support national policies.
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 | 0,017 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,006 |
| Communication savante | 0,010 | 0,006 |
| Science ouverte | 0,001 | 0,008 |
| Intégrité de la recherche | 0,007 | 0,004 |
| 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 ».