ArticleSocial psychiatry and psychiatric epidemiology2018
Predicting psychiatric readmission: sex-specific models to predict 30-day readmission following acute psychiatric hospitalization.
Article in Social psychiatry and psychiatric epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Implementing Precision Psychiatry: A Systematic Review of Individualized Prediction Models for Clinical Practice.Schizophrenia bulletin · 2021Pooled it
- Predictors of psychiatric readmission within 12 months following discharge from inpatient units in Alberta, Canada.Global mental health (Cambridge, England) · 2026Article
- Gender differences and risk of readmission in hospitalizations with a diagnosis of psychotic spectrum disorders.Archives of women's mental health · 2024Article
- A predictive model for readmission within 1-year post-discharge in patients with schizophrenia.BMC psychiatry · 2024Article
- Early and Frequent Psychiatric Readmissions in a Brazilian Cohort of Hospitalized Patients Between 2001 and 2013.Administration and policy in mental health · 2024Article
- Association of homelessness and psychiatric hospital readmission-a retrospective cohort study 2016-2020.BMC psychiatry · 2023Article
- Predictors of nonfatal suicide attempts within 30 days of discharge from psychiatric hospitalization: Sex-specific models developed using population-based registries.Journal of affective disorders · 2022Article
- Psychiatric readmission rates in a multi-level mental health care system - a descriptive population cohort study.BMC health services research · 2021Article
- Factors Related to 30-day Readmission following Hospitalization for Any Medical Reason among Patients with Mental Disorders: Facteurs liés à la réhospitalisation à 30 jours suivant une hospitalisation pour une raison médicale chez des patients souffrant de troubles mentaux.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2021Article
- Predicting hospitalization following psychiatric crisis care using machine learning.BMC medical informatics and decision making · 2020Article
- Pattern of inpatient care for depression: an analysis of 232,289 admissions.BMC psychiatry · 2020Article
- Article
- The Impact of Pharmacy-specific Predictors on the Performance of 30-Day Readmission Risk Prediction Models.Medical care · 2019Observational
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposePsychiatric 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.
methodsWe 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.
resultsThe 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).
conclusionsCertain key predictors of psychiatric readmission differ by sex. This knowledge may help to reduce psychiatric hospital readmission rates by focusing interventions.
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