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Erschienen in:
19.05.2016 | Original Research
Hospital Readmissions in a Community-based Sample of Homeless Adults: a Matched-cohort Study
Erschienen in: Journal of General Internal Medicine | Ausgabe 9/2016
Einloggen, um Zugang zu erhaltenABSTRACT
BACKGROUND
Hospital readmission rates are a widely used quality indicator that may be elevated in disadvantaged populations.
OBJECTIVE
The objective of this study was to compare the hospital readmission rate among individuals experiencing homelessness with that of a low-income matched control group, and to identify risk factors associated with readmission within the group experiencing homelessness.
DESIGN
We conducted a 1:1 matched cohort study comparing 30-day hospital readmission rates between homeless patients and low-income controls matched on age, sex and primary reason for admission. Multivariate analyses using generalized estimating equations were used to assess risk factors associated with 30-day readmission in the homeless cohort.
PARTICIPANTS
This study examined a cohort of 1,165 homeless adults recruited at homeless shelters and meal programs in Toronto, Ontario, between 6 December 2004 and 20 December 2005.
MAIN MEASURES
The primary outcome was the occurrence of an unplanned medical or surgical readmission within 30 days of discharge from hospital.
KEY RESULTS
Between 6 December 2004 and 31 March 2009, homeless participants (N = 203) had 478 hospitalizations and a 30-day readmission rate of 22.2 %, compared to 300 hospitalizations and a readmission rate of 7.0 % among matched controls (OR = 3.79, 95 % CI 1.93-7.39). In the homeless cohort, having a primary care physician (OR = 2.65, 95 % CI 1.05-6.73) and leaving against medical advice (OR = 1.96, 95 % CI 0.99-3.86) were associated with an increased risk of 30-day readmission.
CONCLUSIONS
Homeless patients had nearly four times the odds of being readmitted within 30-days as compared to low-income controls matched on age, sex and primary reason for admission to hospital. Further research is needed to evaluate interventions to reduce readmissions among this patient population.