Length of Stay Predictions
作者： Vincent Liu , Patricia Kipnis , Michael K. Gould , Gabriel J. Escobar
DOI: 10.1097/MLR.0B013E3181E359F3
关键词: Outcome assessment 、 Comorbidity 、 Emergency medicine 、 Inpatient care 、 Operations management 、 Severity of illness 、 Linear model 、 Resource utilization 、 MEDLINE 、 Retrospective cohort study 、 Medicine 、 Public Health, Environmental and Occupational Health
摘要: Background:Length of stay (LOS) is a common measure hospital resource utilization. Most methods for risk-adjusting LOS are limited by the use only administrative data. Recent studies suggest that adding automated clinical data to these models improves performance.Objectives:To evaluate uti
sci-hub.se 参考文章(31)
Francesc Cots, David Elvira, Xavier Castells, Marc Sáez, Relevance of outlier cases in case mix systems and evaluation of trimming methods. Health Care Management Science. ,vol. 6, pp. 27- 35 ,(2003) , 10.1023/A:1021908220013
Lisa I. Iezzoni, Yevgenia D. Mackiernan, Arlene S. Ash, Michael Shwartz, Do severity measures explain differences in length of hospital stay? The case of hip fracture. Health Services Research. ,vol. 31, pp. 365- 385 ,(1996)
Naihua Duan, Smearing Estimate: A Nonparametric Retransformation Method Journal of the American Statistical Association. ,vol. 78, pp. 605- 610 ,(1983) , 10.1080/01621459.1983.10478017
Laurent G. Glance, Andrew W. Dick, Turner M. Osler, Dana B. Mukamel, Accuracy of Hospital Report Cards Based on Administrative Data Health Services Research. ,vol. 41, pp. 1413- 1437 ,(2006) , 10.1111/J.1475-6773.2006.00554.X
Susan Dadakis Horn, Phoebe D. Sharkey, June M. Buckle, Joanne E. Backofen, Richard F. Averill, Roger A. Horn, The relationship between severity of illness and hospital length of stay and mortality. Medical Care. ,vol. 29, pp. 305- 317 ,(1991) , 10.1097/00005650-199104000-00001
A. H. Lee, J. Xiao, J. P. Codde, A. S. K. Ng, Public versus private hospital maternity length of stay: a gamma mixture modelling approach. Health Services Management Research. ,vol. 15, pp. 46- 54 ,(2002) , 10.1258/0951484021912824
Andrew A. Kramer, Jack E. Zimmerman, Assessing the calibration of mortality benchmarks in critical care: The Hosmer-Lemeshow test revisited. Critical Care Medicine. ,vol. 35, pp. 2052- 2056 ,(2007) , 10.1097/01.CCM.0000275267.64078.B0
Ying P. Tabak, Richard S. Johannes, Jeffrey H. Silber, Using automated clinical data for risk adjustment: development and validation of six disease-specific mortality predictive models for pay-for-performance. Medical Care. ,vol. 45, pp. 789- 805 ,(2007) , 10.1097/MLR.0B013E31803D3B41
Ruth Ann Marrie, Neal V. Dawson, Allan Garland, Quantile regression and restricted cubic splines are useful for exploring relationships between continuous variables. Journal of Clinical Epidemiology. ,vol. 62, pp. 511- 517 ,(2009) , 10.1016/J.JCLINEPI.2008.05.015
Paul D Cleary, Sheldon Greenfield, Albert G Mulley, Stephen G Pauker, Steven A Schroeder, Lewis Wexler, Barbara J McNeil, Variations in Length of Stay and Outcomes for Six Medical and Surgical Conditions in Massachusetts and California JAMA: The Journal of the American Medical Association. ,vol. 266, pp. 73- 79 ,(1991) , 10.1001/JAMA.1991.03470010077034