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Enregistrement W2122846155 · doi:10.1111/j.1467-9566.2011.01423.x

Health inequalities: a response to Scambler

2011· letter· en· W2122846155 sur OpenAlexaffabout
David Coburn

Notice bibliographique

RevueSociology of Health & Illness · 2011
Typeletter
Langueen
DomaineBusiness, Management and Accounting
ThématiqueGlobal Public Health Policies and Epidemiology
Établissements canadiensUniversity of VictoriaPublic Health OntarioUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésInequalitySociologyMathematics

Résumé

récupéré en direct d'OpenAlex

Scambler presents an interesting selective review of the health inequalities literature. I leave to others a critique of his explanatory model. I focus, rather, on his main point: that the basic social structural and political determinants of health inequalities have been neglected. Health inequalities in the developed nations require contextualisation. Today we are faced with a famine in East Africa, not the first, and, unfortunately I believe, not the last. We also live in a world of immense contrasts in wealth and in health between and within nations. While there are high relative inequalities in both wealthy and poor nations, the largest absolute health inequalities occur in the poorer countries. Moreover, in OECD nations SES differences explain only a part of the variance in total health inequalities. Consideration of health inequalities cannot be sharply divided from health trends, since it might be argued that there are health and health inequality trade-offs. Any sociological or epidemiological approach to health trends and health inequalities has to confront the policy-relevant arguments produced by those who argue that economic growth will automatically improve human wellbeing. Or, that many forms of inequality are an unfortunate (or perhaps even necessary) by-product of the more general improvements which can only be brought about by free markets, nationally and internationally. I believe these arguments to be flawed but they are influential and have to be answered. Moreover, regarding health trends, global health levels have been increasing for many decades. In addition, internationally, there has been some convergence among countries in health (dependent on the measure of health used), although that convergence slowed in the 1990s. Interestingly, there is more convergence among nations in health (and in education) than there is in national income. Much of the improvement in health in poor nations is due to the international diffusion of health relevant knowledge and technologies. Health trends and inequalities are produced and reproduced within a more extensive and intensive global capitalist mode of production than ever before. Any consideration of health phenomena thus must surely take into account the influence of the trends, tendencies and contradictions characterising the advanced capitalist mode of production. Analyses which ignore this context miss out crucial policy relevant factors which influence everything within capitalism including the relationships among different factors within capitalism, and risk being captured by single ‘variable’ forms of causal analysis. This follows a general trend in social analysis to try to isolate the ‘independent’ effect of one factor among many interrelated factors, rather than analysing the complex conjunctions of many different facets of social life which form social types or wholes. Within any mode of production those with more power will appropriate more of the social surplus. Power will generally be associated with greater access to assets of whatever kind are valued at the time, and, in the present day, greater access to many kinds of health-related resources and information. Examining the capitalist mode of production over a period of centuries we can discern different historical phases of capitalism and, in the contemporary world, different types of capitalist or market oriented societies, from the remaining welfare state types, through the Anglo-American liberal varieties to such emerging types as China. Analysing different types of society in the modern world, rather than simply the intercorrelations of factors within them, may be a fruitful way of understanding why some nations and societies: (1) have better health than others; (2) display higher or lower levels of income, health (and other) inequalities; (3) show quite different forms of social ‘efficiency’ in translating economic growth into improvements in human wellbeing generally and health in particular. To do this will require more attention to historical and comparative case studies. In any event it would be a mistake to try to ‘over-universalise’ findings across quite different sets of nations. Those low in income in poor countries often spend most of their income on food yet still have a caloric intake not conducive to physical activity. Differences in health within such nations do not have the same causal pathways as in rich nations. The richer nations themselves differ in significant ways, even those apparently quite similar, such as the United States and Canada. But health is just one of many forms of inequality. The lack of ‘real’ as opposed to formal democratic systems in the industrialised world, the existence of a business press rather than a free press, the highly wealth-related differences in the legal system, the immense influence of capital on the political process and on politicians generally, has a great deal to do with the maintenance and reproduction of inequalities, from income, through health, to political participation. Power within capitalism is skewed towards the interests of a dominant class with SES differences partly a consequence of structural class power. Many current problems may be seen as a consequence of the current ‘excessive’ domination of big capital over national and international events. Capital has so much control as to be able to appropriate vast amounts of the social surplus. But there is a contradiction between what is in the interests of an individual enterprise, in driving down wages, for example, and the interests of capital as a whole in actually being able to sell the goods and services produced. Hence, the situation in the United States, and elsewhere, in which corporations (non-financial as well as financial) are awash in cash, trillions of dollars, while the economy languishes because of the lack of consumer demand. Yet, the increasing pressure on the living standards of the lower strata within markets is now being exacerbated because we are told we need more austerity and fewer government services to rescue capital from its own mistakes. More of the same is likely to produce ever more frequent economic crises and a reversal of trends towards greater equality of many kinds within and between nations. Unelected and unrepresentative financial institutions and markets now control the fates of nations regardless of the wishes of their citizens, although facing increasing international and national struggles from those suffering under neo-liberal policies. So, yes, I agree with Scambler that there are too few studies of the structural determinants of health and health inequalities, just as there has been a tendency to avoid confronting the political causes of the social determinants of health. On the other hand, structural analysis too often stays at high levels of abstraction, resulting in comments, such as mine today, with which some might agree but which also require much more specific analytical and practical tools to be policy relevant. In this respect, while I disagree with Richard Wilkinson and his colleagues regarding the central social causality of income inequality regarding health, I certainly do welcome their focusing attention on inequality, on its correlates and consequences (although I would like to see more attention to its causes), and, most of all, actually trying to do something about present degrees of income inequality.

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)0,016
score de la tête « metaresearch » (Gemma)0,054
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: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,031
Score d'incertitude au seuil0,084

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0160,054
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0070,008
Études des sciences et des technologies0,0040,017
Communication savante0,0140,027
Science ouverte0,0040,008
Intégrité de la recherche0,0310,036
Charge utile insuffisante (le modèle a refusé de juger)0,0080,002

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 Opus0,078
Tête enseignante GPT0,352
Écart entre enseignants0,274 · 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
GenreCommentaire

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

En bref

Citations4
Publié2011
Routes d'admission2
Résumé présentoui

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