Risk factors for unplanned hospital admission in a specialist homeless general practice population: case–control study to investigate the relationship with tri-morbidity

Abstract

<jats:sec><jats:title>Background</jats:title><jats:p>‘Tri-morbidity’ describes the complex comorbidity of chronic physical illness, mental illness, and alcohol and/or drug misuse within the homeless population. Poor health outcomes of homeless people are reflected by the higher rate of unplanned hospital admissions compared with the non-homeless population.</jats:p></jats:sec><jats:sec><jats:title>Aim</jats:title><jats:p>To identify whether tri-morbidity is a risk factor for unplanned hospital admissions in the homeless population.</jats:p></jats:sec><jats:sec><jats:title>Design and setting</jats:title><jats:p>A case–control study of patients who were registered with a specialist homeless GP surgery in Brighton (72 cases and 72 controls).</jats:p></jats:sec><jats:sec><jats:title>Method</jats:title><jats:p>Cases were defined as those who had =1 overnight hospital admission within a 12-month period. Controls were matched for demographics but with no hospital admission. The primary care record was analysed, and tri-morbidity entered into binomial logistic regression with admission as the dichotomous dependent variable.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>The logistic regression analysis demonstrated that other enduring mental health disorders and/or personality disorder (odds ratio [OR] 3.84, 95% confidence interval [CI] = 1.56 to 9.44), alcohol use (OR 2.92, 95% CI = 1.42 to 5.98), and gastrointestinal disorder (OR 2.90, 95% CI = 1.06 to 7.98) were independent risk factors for admission. Tri-morbidity increased odds of admission by more than four-fold (OR 4.19, 95% CI = 1.90 to 9.27).</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>This study shows that tri-morbidity is an important risk factor for unplanned hospital admissions among the homeless population, and provides an interesting starting point for the development of a risk stratification tool to identify those at risk of unplanned admission in this population.</jats:p></jats:sec>