ArticleSouthern medical journal2017
Hospital Discharge Disposition of Stroke Patients in Tennessee.
Article in Southern medical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of prediction models for postacute care destination decision-making.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Association between educational attainment and discharge disposition following incident stroke hospitalization: the Atherosclerosis Risk in Communities study.Frontiers in stroke · 2026Article
- Racial and Rural Disparities in Stroke Discharge Disposition Stratified by 90-Day Survival Status.Journal of the American Medical Directors Association · 2025Article
- Machine learning for early dynamic prediction of functional outcome after stroke.Communications medicine · 2024Article
- Racial, Ethnic, and Regional Disparities of Post-Acute Service Utilization After Stroke in the United States.Neurology. Clinical practice · 2024Article
- Association of Vulnerability Screening on Hospital Admission with Discharge to Rehabilitation-Oriented Care after Acute Hospital Stay.Annals of geriatric medicine and research · 2023Article
- From Admission to Discharge: Predicting National Institutes of Health Stroke Scale Progression in Stroke Patients Using Biomarkers and Explainable Machine Learning.Journal of personalized medicine · 2023Article
- A Comparison of Acute Ischemic Stroke Patients Discharged to Inpatient Rehabilitation vs a Skilled Nursing Facility: The Paul Coverdell National Acute Stroke Program.Archives of physical medicine and rehabilitation · 2023Article
- Evaluation of Blood Biomarkers and Parameters for the Prediction of Stroke Survivors' Functional Outcome upon Discharge Utilizing Explainable Machine Learning.Diagnostics (Basel, Switzerland) · 2023Article
- Prevalence of Walking Limitation After Acute Stroke and Its Impact on Discharge to Home.Physical therapy · 2022Observational
- Developing a Predictive Tool for Hospital Discharge Disposition of Patients Poststroke with 30-Day Readmission Validation.Stroke research and treatment · 2021Review
- Subarachnoid Hemorrhage "Fast Track": A Health Economics and Health Care Redesign Approach for Early Selected Hospital Discharge.Mayo Clinic proceedings. Innovations, quality & outcomes · 2020Article
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6 authors.
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Abstract
objectivesEarly determination of hospital discharge disposition status at an acute admission is extremely important for stroke management and the eventual outcomes of patients with stroke. We investigated the hospital discharge disposition of patients with stroke residing in Tennessee and developed a predictive tool for clinical adoption. Our investigational aims were to evaluate the association of selected patient characteristics with hospital discharge disposition status and predict such status at the time of an acute stroke admission.
methodsWe analyzed 127,581 records of patients with stroke hospitalized between 2010 and 2014. Logistic regression was used to generate odds ratios with 95% confidence intervals to examine the factor outcome association. An easy-to-use clinical predictive tool was built by using integer-based risk scores derived from coefficients of multivariable logistic regression.
resultsAmong the 127,581 records of patients with stroke, 86,114 (67.5%) indicated home discharge and 41,467 (32.5%) corresponded to facility discharge. All considered patient characteristics had significant correlations with hospital discharge disposition status. Patients were at greater odds of being discharged to another facility if they were women; older; black; patients with a subarachnoid or intracerebral hemorrhage; those with the comorbidities of diabetes mellitus, heart disease, hypertension, chronic kidney disease, arrhythmia, or depression; those transferred from another hospital; or patients with Medicare as the primary payer. A predictive tool had a discriminatory capability with area under the curve estimates of 0.737 and 0.724 for derivation and validation cohorts, respectively.
conclusionsOur investigation revealed that the hospital discharge disposition pattern of patients with stroke in Tennessee was associated with the key patient characteristics of selected demographics, clinical indicators, and insurance status. These analyses resulted in the development of an easy-to-use predictive tool for early determination of hospital discharge disposition status.
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