title: How are household economic circumstances affected after a stroke? The Psychosocial Outcomes In StrokE (POISE) Study.
abstract: OBJECTIVE
  Stroke is associated with severe economic consequences. This is the first study to investigate in younger survivors the household economic burden of stroke.
  
  
  METHODS
  A multicenter, 3-year prospective cohort study was conducted of younger (18-65 years) survivors in Australia. Pre- and poststroke patterns of income and hardship were evaluated and multivariable logistic regression identified the predictors of economic hardship after stroke.
  
  
  RESULTS
  Four hundred fourteen participants were followed up over 12 months after stroke. The variables that independently predicted economic hardship after stroke were: female (OR, 2.94; 95% CI, 1.52-5.70), hazardous alcohol consumption (OR, 2.28; 95% CI, 1.00-5.20), manual occupation (OR, 1.88; 95% CI, 1.07-3.30), lack of health insurance (OR, 2.01; 95% CI, 1.12-3.60), and prior hardship (OR, 3.93; 95% CI, 2.12-7.29), whereas concessional status (OR, 0.50; 95% CI, 0.26-0.95) and more social contacts per week (OR, 0.99; 95% CI, 0.98-1.00) reduced hardship likelihood.
  
  
  CONCLUSIONS
  Higher prestroke income did not buffer hardship after stroke nor did clinical, health service, or disability factors. Policies to reduce inequalities after stroke would be best aimed at socioeconomic targets.
authors.affiliation: The George Institute for Global Health, Sydney Medical School, University of Sydney, PO Box M201, Missenden Road, Sydney, NSW 2050, Australia. beverley.essue@sydney.edu.au
authors.forename: Beverley M
authors.initials: BM
authors.lastname: Essue
authors.forename: Maree L
authors.initials: ML
authors.lastname: Hackett
authors.forename: Qiang
authors.initials: Q
authors.lastname: Li
authors.forename: Nick
authors.initials: N
authors.lastname: Glozier
authors.forename: Richard
authors.initials: R
authors.lastname: Lindley
authors.forename: Stephen
authors.initials: S
authors.lastname: Jan
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D015331:Cohort Studies; D017281:Cost of Illness; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D017063:Outcome Assessment, Health Care / Q000191:economics*; D011203:Poverty / Q000191:economics / Q000523:psychology; D011584:Psychology; D012959:Socioeconomic Factors; D020521:Stroke / Q000191:economics* / Q000523:psychology; D017741:Survivors / Q000523:psychology / Q000706:statistics & numerical data*; D055815:Young Adult