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Enregistrement W2153514307

Developing best available evidence to inform healthy public policy.

2009· dissertation· en· W2153514307 sur OpenAlexaboutno aff
Hilary Thomson

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueHealth disparities and outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPsychological interventionPublic economicsPublic healthHealth policySocial determinants of healthPublic policyEmpirical evidenceEmpirical researchCharterPolitical scienceBusinessEnvironmental healthMedicineEconomicsEconomic growthNursing
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Healthy public policy refers to the use of policies beyond the health services which have the potential to improve health, typically by improving determinants of health, for example socio-economic conditions such as employment, income, housing etc.. While improvements to living conditions have long been viewed as an important mechanism to promote public health, the concept of healthy public policy was formally described more recently in the World Health Organisation’s (WHO) Ottawa Charter in 1986. The rationale for healthy public policy rests heavily on a wealth of cross-sectional data reporting links between socio-economic factors and health. Many of these relationships are well established, providing strong empirical support for hypotheses that intervening to improve socio-economic conditions will lead to improved health. However, hypotheses around health benefits need to be validated: There are many examples of well-intended interventions which did not produce the expected benefits, and in some cases had adverse effects. Compared to many clinical interventions, social interventions are characteristically difficult to control, and likely to be more susceptible to the effect of confounding and mediating factors. These issues increase the level of uncertainty inherent in hypotheses about the impacts of social interventions, in particular health impacts which are influenced by many factors, and further underlines the need for empirical validation. Evidence from empirical research evaluating the health impacts of social interventions needs to be used to inform and refine future policy if the potential for public policy to contribute to health improvement is to be realised. Both reviews of previous research evidence as well as the pursuit of new evidence can be used to develop the evidence base. Previous evidence needs to be reviewed rigorously and comprehensively to minimise the potential for selective interpretations which may be subject to bias; this is best done using transparent systematic review methods. New evaluations are required to provide up-to-date evidence as well as to improve the quality of evidence and plug gaps in the evidence which systematic reviews are well placed to identify. Having synthesised previous evidence and generated newly relevant evidence, it is crucial that the available evidence is made available to those in policy and practice who are most likely to use the evidence. It is necessary that the evidence is disseminated beyond academic audiences and translate the evidence or knowledge to provide syntheses of evidence which are accessible to and tailored to the needs of potential evidence-users. The use of systematic reviews, evaluations of health impacts, and knowledge transfer work has existed for many years within both the health and social policy field. However, the application of these approaches to the field of healthy public policy and the health impacts of social interventions is relatively novel. Application of conventional methods to this new area has required adapting and developing existing methods appropriately. The proposed submission The portfolio of publications selected for this submission represents a selection of the applicant’s publications since 2001. Hilary Thomson is the lead author on each of these publications which were prepared from work carried out with the Evaluation programme (original title Evaluation of the health impacts of non-health sector interventions) of research based at the Medical Research Council’s Social & Public Health Sciences Unit, Glasgow. This programme was funded by the Chief Scientist’s Office of the Scottish Government in 1999 to provide evidence on the health impacts of social interventions, and thus to inform the development of healthy public policy. This thesis presents 10 peer reviewed international publications in this field; nine of these are from high impact public health journals, and one is an example of knowledge transfer that was commissioned by the WHO. The work is presented in three key themes each of key relevance to the development of best available evidence for healthy public policy. Theme I: Systematic review Three publications are presented in this theme, each of these reports the key findings of a systematic review. Paper I reports the findings of a systematic review of the health impacts of housing improvement; Paper III reports the findings of a similar review which has been substantially updated, both methodologically and in content. Paper II presents the findings of a systematic review of the health and socio-economic impacts of urban regeneration investment in the UK since 1980. Theme II: Evaluation & generation of new evidence Four publications are presented in this theme. Paper IV and Paper V report the empirical findings of studies investigating the health impacts of local community leisure facilities, and a local programme of housing-led neighbourhood regeneration respectively. Paper VI and Paper VII present a commentary and reflection based on the author’s experience in the field on how to develop best available evidence to inform healthy public policy. These papers focus on assessing the health impacts of income supplementation interventions, such as welfare benefits, and housing and regeneration investment, however, the emerging lessons and issues have a relevance to the wider field of healthy public policy. Theme III: Knowledge transfer Three publications are presented in this theme. Each of these illustrates how my work has gone beyond reviewing and generating evidence for an academic audience, by providing accessible evidence syntheses which are accessible to and tailored to the needs of policy makers and practitioners who wish to use evidence in their work. Paper VIII and Paper IX were commissioned by the Scottish Health Impact Assessment Network and report how I developed evidence syntheses on housing improvement and transport policy. Paper X presents an evidence synthesis on housing and health commissioned by the WHO for use by European policymakers.

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)0,105
score de la tête « metaresearch » (Gemma)0,368
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,105
Score d'incertitude au seuil0,554

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,1050,368
Méta-épidémiologie (sens strict)0,0030,002
Méta-épidémiologie (sens large)0,0070,006
Bibliométrie0,0260,015
Études des sciences et des technologies0,0020,003
Communication savante0,0140,016
Science ouverte0,0090,009
Intégrité de la recherche0,0160,011
Charge utile insuffisante (le modèle a refusé de juger)0,0340,012

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 Opus0,161
Tête enseignante GPT0,455
Écart entre enseignants0,294 · 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'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

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

En bref

Citations0
Publié2009
Routes d'admission1
Résumé présentoui

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