The Relationship Between Hospital Spending and Mortality in Patients With Sepsis

被引:47
作者
Lagu, Tara [1 ,2 ,4 ]
Rothberg, Michael B. [1 ,2 ,4 ]
Nathanson, Brian H. [5 ]
Pekow, Penelope S. [1 ,6 ]
Steingrub, Jay S. [1 ,3 ,4 ]
Lindenauer, Peter K. [1 ,4 ]
机构
[1] Baystate Med Ctr, Ctr Qual Care Res, Springfield, MA 01199 USA
[2] Baystate Med Ctr, Div Gen Internal Med & Geriatr, Springfield, MA 01199 USA
[3] Baystate Med Ctr, Div Crit Care Med, Springfield, MA 01199 USA
[4] Tufts Univ, Sch Med, Dept Med, Boston, MA 02111 USA
[5] OptiStatim LLC, Longmeadow, MA USA
[6] Univ Massachusetts, Sch Publ Hlth & Hlth Sci, Amherst, MA 01003 USA
关键词
ACUTE MYOCARDIAL-INFARCTION; INTENSIVE-CARE UNITS; REGIONAL-VARIATIONS; QUALITY; PERFORMANCE; THERAPY; MODELS; BUNDLE; STATES; COSTS;
D O I
10.1001/archinternmed.2011.12
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Sepsis is common, highly morbid, and costly, yet little is known about differences in the care or outcomes of patients with sepsis across hospitals. We sought to characterize variations in hospital spending and mortality rates and to determine whether higher levels of spending are associated with better hospital survival. Methods: We conducted a cross-sectional study of hospitals that treated at least 100 adult patients with sepsis between 2004 and 2006. We developed multivariable models for expected patient mortality and costs and calculated standardized mortality and cost ratios for each hospital. We defined clinically significant variation as observed outcomes that differed from expected outcomes by at least 10%. We examined the association between hospital-level spending and mortality rate using a model that adjusted for hospital characteristics. Results: Among 166 931 patients with sepsis at 309 hospitals, we observed wide variations in hospital-level mortality and cost. Of 61 hospitals (19%) at the median expected mortality, observed mortality ranged from 9% to 32%. More than a third (34%) of hospitals exceeded expected costs by at least 10%, with a median average excess cost of $5207. We found lower-than-expected costs and mortality rates at 22 hospitals (7%). An adjusted model did not show a significant association between hospital spending and mortality. Conclusions: Hospital spending and adjusted mortality rates for patients with sepsis vary substantially, but higher hospital expenditures are not associated with better survival. Efforts to enhance the value of sepsis care could be modeled on hospitals that achieve lower-than-expected mortality and costs.
引用
收藏
页码:292 / 299
页数:8
相关论文
共 38 条
[1]   Epidemiology of severe sepsis in the United States: Analysis of incidence, outcome, and associated costs of care [J].
Angus, DC ;
Linde-Zwirble, WT ;
Lidicker, J ;
Clermont, G ;
Carcillo, J ;
Pinsky, MR .
CRITICAL CARE MEDICINE, 2001, 29 (07) :1303-1310
[2]  
[Anonymous], 2008, Multilevel and Longitudinal Modeling Using Stata, DOI DOI 10.1093/GERONI/IGZ038.1816
[3]   GEOGRAPHICAL VARIATIONS IN USE OF SURGERY FOR GLUE EAR [J].
BLACK, N .
JOURNAL OF THE ROYAL SOCIETY OF MEDICINE, 1985, 78 (08) :641-648
[4]   Hospital quality for acute myocardial infarction - Correlation among process measures and relationship with short-term mortality [J].
Bradley, Elizabeth H. ;
Herrin, Jeph ;
Elbel, Brian ;
McNamara, Robert L. ;
Magid, David J. ;
Nallamothu, Brahmajee K. ;
Wang, Yongfei ;
Normand, Sharon-Lise T. ;
Spertus, John A. ;
Krumholz, Harlan M. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2006, 296 (01) :72-78
[5]   Research in action: using positive deviance to improve quality of health care [J].
Bradley, Elizabeth H. ;
Curry, Leslie A. ;
Ramanadhan, Shoba ;
Rowe, Laura ;
Nembhard, Ingrid M. ;
Krumholz, Harlan M. .
IMPLEMENTATION SCIENCE, 2009, 4
[6]   Risk Adjustment in the American College of Surgeons National Surgical Quality Improvement Program: A Comparison of Logistic Versus Hierarchical Modeling [J].
Cohen, Mark E. ;
Dimick, Justin B. ;
Bilimoria, Karl Y. ;
Ko, Clifford Y. ;
Richards, Karen ;
Hall, Bruce Lee .
JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS, 2009, 209 (06) :687-693
[7]  
*CTR MED MED SERV, 2005, STEPS DET PPS PAYM
[9]   Comorbidity measures for use with administrative data [J].
Elixhauser, A ;
Steiner, C ;
Harris, DR ;
Coffey, RN .
MEDICAL CARE, 1998, 36 (01) :8-27
[10]   The implications of regional variations in medicare spending. Part 2: Health outcomes and satisfaction with care [J].
Fisher, ES ;
Wennberg, DE ;
Stukel, TA ;
Gottlieb, DJ ;
Lucas, FL ;
Pinder, EL .
ANNALS OF INTERNAL MEDICINE, 2003, 138 (04) :288-298