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Accuracy of Self-Reported Health Care Use in a Population-Based Sample of Homeless Adults
Author(s): Stephen W. Hwang, Catharine Chambers, Marko Katic
Publication Date: 2015
Objective To assess the accuracy of self-reported ambulatory care visits, emergency department (ED) encounters, and overnight hospitalizations in a population-based sample of homeless adults. Data Source Self-report survey data and administrative health care utilization databases. Study Design Self-reported health care use in the past 12 months was compared to administrative encounter records among 1,163 homeless adults recruited in 20...
A Comprehensive Assessment of Health Care Utilization Among Homeless Adults Under a System of Universal Health Insurance
Author(s): Stephen W. Hwang, Catharine Chambers, Shirley Chiu, Marko Katic, Alex Kiss, Donald A. Redelmeier, Wendy Levinson
Publication Date: 2013
Objectives. We comprehensively assessed health care utilization in a population-based sample of homeless adults and matched controls under a universal health insurance system. Methods. We assessed health care utilization by 1165 homeless single men and women and adults in families and their age- and gender-matched low-income controls in Toronto, Ontario, from 2005 to 2009, using repeated-measures general linear models to calculate risk ratios and...
Predictors of Medical or Surgical and Psychiatric Hospitalizations Among a Population-Based Cohort of Homeless Adults
Author(s): Catharine Chambers, Marko Katic, Shirley Chiu, Donald A. Redelmeier, Wendy Levinson, Alex Kiss, Stephen W. Hwang
Publication Date: 2013
Objectives. We identified factors associated with inpatient hospitalizations among a population-based cohort of homeless adults in Toronto, Ontario. Methods. We recruited participants from shelters and meal programs. We then linked them to administrative databases to capture hospital admissions during the study (2005–2009). We used logistic regression to identify predictors of medical or surgical and psychiatric hospitalizations. Results. Among...