Readmissions of medical patients: an external validation of two existing prediction scores

被引:35
作者
Cooksley, T. [1 ]
Nanayakkara, P. W. B. [2 ]
Nickel, C. H. [3 ]
Subbe, C. P. [4 ]
Kellett, J. [5 ]
Kidney, R. [6 ]
Merten, H. [2 ]
Van Galen, L. [2 ]
Henriksen, D. P. [7 ]
Lassen, A. T. [7 ]
Brabrand, M. [7 ]
机构
[1] Univ S Manchester Hosp, Dept Acute Med, Manchester M20 8LR, Lancs, England
[2] Vrije Univ Amsterdam Med Ctr, Amsterdam, Netherlands
[3] Univ Basel Hosp, Basel, Switzerland
[4] Ysbyty Gwynedd Hosp, Bangor, Gwynedd, Wales
[5] Nenagh Hosp, Nenagh, Ireland
[6] St James Hosp, Dublin 8, Ireland
[7] Univ Southern Denmark, Odense, Denmark
关键词
HOSPITAL READMISSIONS; HIGH-RISK; CARE; OLDER; ILLNESS; EVIL;
D O I
10.1093/qjmed/hcv130
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Hospital readmissions are increasingly used as a quality indicator with a belief that they are a marker of poor care and have led to financial penalties in UK and USA. Risk scoring systems, such as LACE and HOSPITAL, have been proposed as tools for identifying patients at high risk of readmission but have not been validated in international populations. Aim: To perform an external independent validation of the HOSPITAL and LACE scores. Design: An unplanned secondary cohort study. Methods: Patients admitted to the medical admission unit at the Hospital of South West Jutland (10/2008-2/2009; 2/2010-5/2010) and the Odense University Hospital (6/2009-8/2011) were analysed. Validation of the scores using 30 day readmissions as the endpoint was performed. Results: A total of 19277 patients fulfilled the inclusion criteria. Median age was 67 (range 18-107) years and 8977 (46.6%) were female. The LACE score had a discriminatory power of 0.648 with poor calibration and the HOSPITAL score had a discriminatory power of 0.661 with poor calibration. The HOSPITAL score was significantly better than the LACE score for identifying patients at risk of 30 day readmission (P<0.001). The discriminatory power of both scores decreased with increasing age. Conclusion: Readmissions are a complex phenomenon with not only medical conditions contributing but also system, cultural and environmental factors exerting a significant influence. It is possible that the heterogeneity of the population and health care systems may prohibit the creation of a simple prediction tool that can be used internationally.
引用
收藏
页码:245 / 248
页数:4
相关论文
共 25 条
[1]   Redefining Readmission Risk Factors for General Medicine Patients [J].
Allaudeen, Nazima ;
Vidyarthi, Arpana ;
Maselli, Judith ;
Auerbach, Andrew .
JOURNAL OF HOSPITAL MEDICINE, 2011, 6 (02) :54-60
[2]   Case finding for patients at risk of readmission to hospital: development of algorithm to identify high risk patients [J].
Billings, John ;
Dixon, Jennifer ;
Mijanovich, Tod ;
Wennberg, David .
BRITISH MEDICAL JOURNAL, 2006, 333 (7563) :327-330
[3]   Identifying patients at high risk of emergency hospital admissions: a logistic regression analysis [J].
Bottle, Alex ;
Aylin, Paul ;
Majeed, Azeem .
JOURNAL OF THE ROYAL SOCIETY OF MEDICINE, 2006, 99 (08) :406-414
[4]   Hospital Readmissions Necessary Evil or Preventable Target for Quality Improvement [J].
Brown, Erin G. ;
Burgess, Debra ;
Li, Chin-Shang ;
Canter, Robert J. ;
Bold, Richard J. .
ANNALS OF SURGERY, 2014, 260 (04) :583-591
[5]   Posthospital care transitions: Patterns, complications, and risk identification [J].
Coleman, EA ;
Min, SJ ;
Chomiak, A ;
Kramer, AM .
HEALTH SERVICES RESEARCH, 2004, 39 (05) :1449-1465
[6]   Understanding readmissions: An in-depth review of 50 patients readmitted back to an acute hospital within 30 days [J].
Conroy, S. P. ;
Dowsing, T. ;
Reid, J. ;
Hsu, R. .
EUROPEAN GERIATRIC MEDICINE, 2013, 4 (01) :25-27
[7]  
Cooksley Tim, 2015, Acute Med, V14, P53
[8]   Predicting readmissions: poor performance of the LACE index in an older UK population [J].
Cotter, Paul E. ;
Bhalla, Vikas K. ;
Wallis, Stephen J. ;
Biram, Richard W. S. .
AGE AND AGEING, 2012, 41 (06) :784-789
[9]   Potentially Avoidable 30-Day Hospital Readmissions in Medical Patients Derivation and Validation of a Prediction Model [J].
Donze, Jacques ;
Aujesky, Drahomir ;
Williams, Deborah ;
Schnipper, Jeffrey L. .
JAMA INTERNAL MEDICINE, 2013, 173 (08) :632-638
[10]   Are All Readmissions Bad Readmissions?. [J].
Gorodeski, Eiran Z. ;
Starling, Randall C. ;
Blackstone, Eugene H. .
NEW ENGLAND JOURNAL OF MEDICINE, 2010, 363 (03) :297-298