Turning the Social Determinants of Health to Our Advantage: Policy Fundamentals for a Better Approach to Children's Health
Notice bibliographique
Résumé
Turning the Social Determinants of Health to Our Advantage Role of Policy in Reframing Our Approach to Child HealthThe first two articles in this volume provide a compelling case for improving child health and for the critical role to be played by social determinants.The goal of this article is more prosaic: to lay out the policy approaches that can support the case for improving child health by improving the social determinants of health.But first, it's important to define what we mean by policy.Policy is often used as a synonym for anything that government does, and it can cover election platform commitments, capital investments, new legislation and the written and unwritten practices of bureaucrats as they administer government programs.However, this is too broad a definition of policy to address in a single article or even an entire edition of Healthcare Quarterly.Instead, we will work with a more traditional definition of policy -a standing or consistent position on repeated decisions.This means that policy takes the form of frameworks, that is, the conceptual models that decision-makers use when approaching any relevant problem.In this sense, a policy functions as a sort of checklist covering the set of factors that need to be addressed in any decision on how to improve child health.There are several reasons for this more narrow focus, including the current economic situation, the focus across the country on broader policy questions around access to safe care and difficulties in deciding how to balance programs that favour one population group (e.g., children) against another (e.g., the elderly).The most important reason for the more narrow focus is the fact -already well described by Halfon et al. in this issue -that improving the social determinants of children's health requires joined-up action across government.This in turn requires decision-makers across the health and social services ministries, agencies and providers to approach their policy decisions in a consistent way that supports improvements in the determinants of health for children.This is not the usual approach in parliamentary democracies, or in the health system itself.After more than a century focused on sanitation, nutrition and acute, intermittent infectious disease, contemporary Canadian child health systems are now heavily invested in caring for complex medically fragile children with multiple health needs.Technological innovations enabling the survival of newborns at earlier gestational ages mean that the largest share of child health expenditures in Ontario -and likely Canada -focuses on children under one month old.Bringing a more comprehensive, joined-up approach to child health policy deserves the focus of an entire article. Reframing a Policy Approach to Child HealthAn innovative concept called population health inheritance (PHI) enables reframing of complex child health questions.PHI focuses on policies improving the societal asset of health passed from adults to children in two forms: direct PHI, each generation's collective resiliency, lifespan and quality of life; and indirect PHI, the health system as a sustainable asset, in and of itself, and its capacity to meet enduring population health needs.This inter-generational frame enables us to consider the importance of child health outcomes within the context of a health system that overwhelmingly treats people much later in life and considers health improvement in the context of individuals rather than collectively, as passed between generations.Critical to the notion of direct PHI is the life course approach.Strategies based on this approach reflect an understanding that a person's developmental trajectory can be substantially altered and improved based on factors present during pregnancy and early parenthood (Ben-Shlomo and Kuh 2002).As such, research using this framework tends to emphasize parenting education, an enriched preschool environment and various interventions for mothers and infants.Similarly, critical to indirect PHI are transitions out of the child or youth health system and into the adult health system.Thanks to the progress and success of medicine, children who would have died in infancy or adolescence from a range of health problems now survive into adulthood but enter into an adult healthcare system that is poorly prepared to deal with challenges that, in many cases, are entirely new to this system.Almost by definition, a focus on PHI, the life course approach and transitions requires policy approaches that both recognize Photo credit: istockphoto
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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 | 0,020 | 0,027 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,005 | 0,024 |
| Communication savante | 0,012 | 0,011 |
| Science ouverte | 0,002 | 0,007 |
| Intégrité de la recherche | 0,017 | 0,022 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,001 |
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 ».