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Record W2129470342 · doi:10.12927/hcq.2010.21985

Turning the Social Determinants of Health to Our Advantage: Policy Fundamentals for a Better Approach to Children's Health

2010· article· en· W2129470342 on OpenAlexaff
Adalsteinn Brown, Wendy Katherine, Katy Allen, Uyen Quach, Elizabeth Chiu, Lauren Bialystok

Bibliographic record

VenueHealthcare Quarterly · 2010
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsMinistry of Health and Long Term Care
Fundersnot available
KeywordsBest practiceHealth policySocial determinants of healthHealth administrationPsychologyMedicinePublic economicsPublic relationsPolitical scienceNursingEconomicsPublic healthManagement

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.020
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.064
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0050.024
Scholarly communication0.0120.011
Open science0.0020.007
Research integrity0.0170.022
Insufficient payload (model declined to judge)0.0120.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.053
GPT teacher head0.458
Teacher spread0.406 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2010
Admission routes1
Has abstractno

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