2013
DOI: 10.1136/bmjqs-2012-001715
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Inequalities in avoidable hospitalisation by area income and the role of individual characteristics: a population-based register study in Stockholm County, Sweden

Abstract: Higher rates of avoidable hospitalisation in low-income areas indicate greater healthcare needs of people living there. This should be addressed by investing in outpatient care for lower socioeconomic groups. The composition of individuals must be considered when studying area characteristics and avoidable hospitalisation.

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Cited by 38 publications
(39 citation statements)
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References 26 publications
(23 reference statements)
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“…SES is one of the most studied risk factors for ACSC hospitalizations. First described by Billings et al in New York City [8], multiple studies have independently observed an association between SES and ACSC hospitalizations [12][13][14][15][16]. However, to our knowledge, these studies have not been systematically described.…”
Section: (Continued From Previous Page)mentioning
confidence: 89%
“…SES is one of the most studied risk factors for ACSC hospitalizations. First described by Billings et al in New York City [8], multiple studies have independently observed an association between SES and ACSC hospitalizations [12][13][14][15][16]. However, to our knowledge, these studies have not been systematically described.…”
Section: (Continued From Previous Page)mentioning
confidence: 89%
“…In many cases what is selected is not what is ideal, but rather what is available. For example, Lofqvist et al 3 use the municipality or city district median income as a measure of area-level socioeconomic status but, as they describe, these areas vary in size from 10 000 to 900 000 residents. This broad range of variation would bias estimates towards observing no contextual effect.…”
Section: Challenges In Conducting Multilevel Health Services Researchmentioning
confidence: 99%
“…In their analyses, Lofqvist et al 3 performed logistic regression models that included both individual- and area-level factors as covariates. Their approach improved over studies that only used individual or contextual measures, but their analytical method limited the extent to which inferences may be drawn about what constitutes a ‘contextual’ effect.…”
Section: Challenges In Conducting Multilevel Health Services Researchmentioning
confidence: 99%
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