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- Title
Predicting psychiatric readmission: sex-specific models to predict 30-day readmission following acute psychiatric hospitalization.
- Authors
Barker, Lucy Church; Gruneir, Andrea; Fung, Kinwah; Herrmann, Nathan; Kurdyak, Paul; Lin, Elizabeth; Rochon, Paula A.; Seitz, Dallas; Taylor, Valerie H.; Vigod, Simone N.
- Abstract
<bold>Purpose: </bold>Psychiatric readmission is a common negative outcome. Predictors of readmission may differ by sex. This study aimed to derive and internally validate sex-specific models to predict 30-day psychiatric readmission.<bold>Methods: </bold>We used population-level health administrative data to identify predictors of 30-day psychiatric readmission among women (n = 33,353) and men (n = 32,436) discharged from all psychiatric units in Ontario, Canada (2008-2011). Predictor variables included sociodemographics, health service utilization, and clinical characteristics. Using derivation data sets, multivariable logistic regression models were fit to determine optimal predictive models for each sex separately. Results were presented as adjusted odds ratios (aORs) and 95% confidence intervals (CI). The multivariable models were then applied in the internal validation data sets.<bold>Results: </bold>The 30-day readmission rates were 9.3% (women) and 9.1% (men). Many predictors were consistent between women and men. For women only, personality disorder (aOR 1.21, 95% CI 1.03-1.42) and positive symptom score (aOR 1.41, 95% CI 1.09-1.82 for score of 1 vs. 0; aOR 1.44, 95% CI 1.26-1.64 for ≥ 2 vs. 0) increased odds of readmission. For men only, self-care problems at admission (aOR 1.20, 95% CI 1.06-1.36) and discharge (aOR 1.44, 95% CI 1.26-1.64 for score of 1 vs. 0; aOR 1.79, 95% CI 1.17-2.74 for 2 vs. 0), and mild anxiety rating (score of 1 vs. 0: aOR 1.30, 95% CI 1.02-1.64, derivation model only) increased odds of readmission. Models had moderate discriminative ability in derivation and internal validation samples for both sexes (c-statistics 0.64-0.65).<bold>Conclusions: </bold>Certain key predictors of psychiatric readmission differ by sex. This knowledge may help to reduce psychiatric hospital readmission rates by focusing interventions.
- Subjects
ONTARIO; PATIENT readmissions; PSYCHIATRIC hospital admission &; discharge; GENDER differences (Psychology); CARE of people; PEOPLE with mental illness; TREATMENT effectiveness; PSYCHOTHERAPY; MENTAL illness treatment; PERSONALITY disorder treatment; PSYCHIATRIC hospital statistics; COMPARATIVE studies; RESEARCH methodology; MEDICAL cooperation; MULTIVARIATE analysis; RESEARCH; SEX distribution; TIME; LOGISTIC regression analysis; EVALUATION research; DISCHARGE planning; ACUTE diseases; ODDS ratio
- Publication
Social Psychiatry & Psychiatric Epidemiology, 2018, Vol 53, Issue 2, p139
- ISSN
0933-7954
- Publication type
journal article
- DOI
10.1007/s00127-017-1450-5