title: Social inequality in health: dichotomy or gradient? A comparative study of problematizations in national public health programmes.
abstract: Recent public health programmes from four countries: Denmark, England, Norway, and Sweden, are studied to analyse how social inequality in health is described, explained and suggested to be tackled, i.e., the problematization or the discursive process whereby the issue is framed and made accessible to political action. Social inequality in health is defined in these programmes both as a disadvantaged minority with major health problems, in contrast to the rest of the population, i.e., as a dichotomy; and as a gradient in which health problems are seen as increasing with lower social class or educational level. The causes of health inequality are identified as behaviour, social relations and underlying social structures. Policies aimed at reducing health inequality can be characterized as either in accordance with a residual welfare state model, targeting the disadvantaged, or a universal model, addressing the whole population. All countries have policies that are mixtures of these problematizations, but with some systematic differences between the countries. In this field England resembles the Scandinavian countries, as much as they resemble each other dispelling the idea of a Nordic or Scandinavian welfare state model.
authors: Department of Health Services Research, Institute of Public Health, University of Copenhagen, Øster Farimagsgade 5, P.O. Box 2099, 1014 Copenhagen K, Denmark. s.vallgarda@pubhealth.ku.dk
authors: Signild
authors: S
authors: Vallgårda
mesh_terms: D003718:Denmark; D004739:England; D006291:Health Policy; D054624:Health Status Disparities; D006801:Humans; D009313:National Health Programs / Q000941:ethics*; D009664:Norway; D012537:Scandinavian and Nordic Countries; D012923:Social Class; D012935:Social Justice; D013222:State Medicine / Q000941:ethics*; D013548:Sweden; D035862:Vulnerable Populations / Q000145:classification* / Q000706:statistics & numerical data