Stroke Administrative Severity Index: using administrative data for 30-day poststroke outcomes prediction
نویسندگان
چکیده
منابع مشابه
Validity of a stroke severity index for administrative claims data research: a retrospective cohort study
BACKGROUND Ascertaining stroke severity in claims data-based studies is difficult because clinical information is unavailable. We assessed the predictive validity of a claims-based stroke severity index (SSI) and determined whether it improves case-mix adjustment. METHODS We analyzed patients with acute ischemic stroke (AIS) from hospital-based stroke registries linked with a nationwide claim...
متن کاملPredicting 30-day Hospital Readmission with Publicly Available Administrative Database
K. Zhu1; Z. Lou2; J. Zhou3; N. Ballester4; N. Kong5; P. Parikh4 1Purdue University, Statistics, West Lafayette, Indiana, USA; 2Purdue University, Industrial Engineering, West Lafayette, Indiana, USA; 3Tsinghua University, Automation, Beijing, China; 4Wright State University, Biomedical, Industrial and Human Factors Engineering, Dayton, Ohio, USA; 5Purdue University, Biomedical Engineering, West...
متن کاملAdministrative data versus corrected administrative data.
The purpose of this research was to provide insight into the use of existing administrative data and to identify changes that could be made to improve broad-based use of administrative data. Data were collected on patients hospitalized with pneumonia at a 715 bed hospital in North Carolina in 1996-1997. Patients were selected from administrative databases via diagnosis and charge codes. Outcome...
متن کاملValidating administrative data in stroke research.
BACKGROUND AND PURPOSE Research based on administrative data has advantages, including large numbers, consistent data, and low cost. This study was designed to compare different methods of stroke classification using administrative data. METHODS Administrative hospital discharge data and medical record review of 206 patients were used to evaluate 3 algorithms for classifying stroke patients. ...
متن کاملMethods for identifying 30 chronic conditions: application to administrative data
BACKGROUND Multimorbidity is common and associated with poor clinical outcomes and high health care costs. Administrative data are a promising tool for studying the epidemiology of multimorbidity. Our goal was to derive and apply a new scheme for using administrative data to identify the presence of chronic conditions and multimorbidity. METHODS We identified validated algorithms that use ICD...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Comparative Effectiveness Research
سال: 2018
ISSN: 2042-6305,2042-6313
DOI: 10.2217/cer-2017-0058