ArticleJournal of comparative effectiveness research2018
Stroke Administrative Severity Index: using administrative data for 30-day poststroke outcomes prediction.
Article in Journal of comparative effectiveness research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Factors associated with discharge to skilled nursing despite a clinical recommendation for inpatient rehabilitation.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2026Article
- An Exploratory Classification Framework for Poststroke Dysphagia Severity Using Administrative Data: Administrative Data Dysphagia Severity Scale.American journal of speech-language pathology · 2026Article
- Can administrative data be used for a national register of hospitalised stroke patients? A New Zealand validation study.The Lancet regional health. Western Pacific · 2026Article
- Association between educational attainment and discharge disposition following incident stroke hospitalization: the Atherosclerosis Risk in Communities study.Frontiers in stroke · 2026Article
- Racial, Ethnic, and Regional Disparities of Post-Acute Service Utilization After Stroke in the United States.Neurology. Clinical practice · 2024Article
- The Relationship Between Poststroke Dysphagia and Poststroke Depression and Its Risk Factors.American journal of speech-language pathology · 2024Article
- Differences in rehabilitation evaluation access for rural and socially disadvantaged stroke survivors.Topics in stroke rehabilitation · 2024Article
- Protocol for exploring pathways to equitable outcomes in post-stroke aphasia and dysphagia.PloS one · 2024Article
- Diagnosis of spatial neglect and rehabilitation access for stroke survivors.Cogent gerontology · 2024Article
- External Validation and Recalibration of a Mortality Prediction Model for Patients with Ischaemic Stroke.Journal of clinical medicine · 2023Article
- Can markers of disease severity improve the predictive power of claims-based multimorbidity indices?Journal of the American Geriatrics Society · 2023Article
- Incidence of Poststroke Depression in Patients With Poststroke Dysphagia.American journal of speech-language pathology · 2022Article
- Contemporary utilization patterns and outcomes of thrombolytic administration for ischemic stroke among patients with cancer.International journal of stroke : official journal of the International Stroke Society · 2021Article
- Relationship between early follow-up and readmission within 30 and 90 days after ischemic stroke.Neurology · 2020Article
- Article
- The Effect of Frailty on Discharge Location for Medicare Beneficiaries After Acute Stroke.Archives of physical medicine and rehabilitation · 2019Article
- A double-hit: End-stage renal disease patients suffer worse outcomes in intracerebral hemorrhage.Brain circulationArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
aimCurrent stroke severity scales cannot be used for archival data. We develop and validate a measure of stroke severity at hospital discharge (Stroke Administrative Severity Index [SASI]) for use in billing data.
methodsWe used the NIH Stroke Scale (NIHSS) as the theoretical framework and identified 285 relevant International Classification of Diseases, 9th Revision diagnosis and procedure codes, grouping them into 23 indicator variables using cluster analysis. A 60% sample of stroke patients in Medicare data were used for modeling risk of 30-day postdischarge mortality or discharge to hospice, with validation performed on the remaining 40% and on data with NIHSS scores.
resultsModel fit was good (p > 0.05) and concordance was strong (C-statistic = 0.76-0.83). The SASI predicted NIHSS at discharge (C = 0.83).
conclusionThe SASI model and score provide important tools to control for stroke severity at time of hospital discharge. It can be used as a risk-adjustment variable in administrative data analyses to measure postdischarge outcomes.
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