ArticlePloS one2015
Functional Status Predicts Acute Care Readmissions from Inpatient Rehabilitation in the Stroke Population.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 45 citations in OpenAlex.
- Factors associated with post-stroke readmission: a systematic review and meta analysis.Scientific reports · 2025Pooled it
- Rate and key predictors of unplanned readmission following ischemic stroke: a systematic review and meta-analysis.Frontiers in neurologyPooled it
- Prediction Models for Post-Stroke Hospital Readmission: A Systematic Review.Public health nursing (Boston, Mass.)Pooled it
- Reducing hospital length of stay with criteria-led transfer from the acute stroke unit to inpatient rehabilitation.BMJ neurology open · 2025Article
- Disparities in transitions of acute stroke care: The transitions of care stroke disparities study methodological report.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2023Observational
- Frequency and reasons for unplanned transfer to the primary acute care service of inpatient rehabilitation glioblastoma multiforme patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023Article
- Development of a 30-Day Readmission Risk Calculator for the Inpatient Rehabilitation Setting.Journal of the American Medical Directors Association · 2022Article
- Acute Inpatient Rehabilitation Improves Function Independent of Comorbidities in Medically Complex Patients.Archives of rehabilitation research and clinical translation · 2022Article
- Variation in 30-Day Readmission Rates from Inpatient Rehabilitation Facilities to Acute Care Hospitals.Journal of the American Medical Directors Association · 2021Article
- Clinical impact of functional independent measure (FIM) on 180-day readmission and mortality in elderly patients hospitalized with acute decompensated heart failure.Heart and vessels · 2021Article
- Hospital readmission in stroke survivors one year versus three years after discharge from inpatient rehabilitation: Prevalence and associations in an Asian cohort.Journal of rehabilitation medicine · 2021Article
- Risk of Hospital Readmission among Older Patients Discharged from the Rehabilitation Unit in a Rural Community Hospital: A Retrospective Cohort Study.Journal of clinical medicine · 2021Article
- Prediction of 30-Day Readmission After Stroke Using Machine Learning and Natural Language Processing.Frontiers in neurology · 2021Article
- Association of Pain on Hospital Discharge with the Risk of 30-Day Readmission in Patients with Total Hip and Knee Replacement.The Journal of arthroplasty · 2020Article
- Weekend Admission to Inpatient Rehabilitation Facilities Is Associated With Transfer to Acute Care in a Nationwide Sample of Patients With Stroke.American journal of physical medicine & rehabilitation · 2020Article
- Sepsis Survivors Transitioned to Home Health Care: Characteristics and Early Readmission Risk Factors.Journal of the American Medical Directors Association · 2020Article
- Review
- Functional status predicts acute care readmission in the traumatic spinal cord injury population.The journal of spinal cord medicine · 2019Article
- Effects of Age and Sex on Hospital Readmission in Traumatic Brain Injury.Archives of physical medicine and rehabilitation · 2018Article
- Predictors of readmission to acute care during inpatient rehabilitation for non-traumatic spinal cord injury.The journal of spinal cord medicine · 2018Article
Corrections and comments
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Authors and funding
13 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveAcute care readmission risk is an increasingly recognized problem that has garnered significant attention, yet the reasons for acute care readmission in the inpatient rehabilitation population are complex and likely multifactorial. Information on both medical comorbidities and functional status is routinely collected for stroke patients participating in inpatient rehabilitation. We sought to determine whether functional status is a more robust predictor of acute care readmissions in the inpatient rehabilitation stroke population compared with medical comorbidities using a large, administrative data set.
methodsA retrospective analysis of data from the Uniform Data System for Medical Rehabilitation from the years 2002 to 2011 was performed examining stroke patients admitted to inpatient rehabilitation facilities. A Basic Model for predicting acute care readmission risk based on age and functional status was compared with models incorporating functional status and medical comorbidities (Basic-Plus) or models including age and medical comorbidities alone (Age-Comorbidity). C-statistics were compared to evaluate model performance.
findingsThere were a total of 803,124 patients: 88,187 (11%) patients were transferred back to an acute hospital: 22,247 (2.8%) within 3 days, 43,481 (5.4%) within 7 days, and 85,431 (10.6%) within 30 days. The C-statistics for the Basic Model were 0.701, 0.672, and 0.682 at days 3, 7, and 30 respectively. As compared to the Basic Model, the best-performing Basic-Plus model was the Basic+Elixhauser model with C-statistics differences of +0.011, +0.011, and + 0.012, and the best-performing Age-Comorbidity model was the Age+Elixhauser model with C-statistic differences of -0.124, -0.098, and -0.098 at days 3, 7, and 30 respectively.
conclusionsReadmission models for the inpatient rehabilitation stroke population based on functional status and age showed better predictive ability than models based on medical comorbidities.
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