Sepsis Among Medicare Beneficiaries: 3. The Methods, Models, and Forecasts of Sepsis, 2012-2018

被引:44
作者
Buchman, Timothy G. [1 ,2 ]
Simpson, Steven Q. [1 ,3 ]
Sciarretta, Kimberly L. [1 ]
Finne, Kristen P. [4 ]
Sowers, Nicole [5 ]
Collier, Michael [5 ]
Chavan, Saurabh [5 ]
Oke, Ibijoke [5 ]
Pennini, Meghan E. [1 ]
Santhosh, Aathira [5 ]
Wax, Marie [1 ]
Woodbury, Robyn [1 ]
Chu, Steve [6 ]
Merkeley, Tyler G. [1 ]
Disbrow, Gary L. [1 ]
Bright, Rick A. [1 ]
MaCurdy, Thomas E. [5 ,7 ,8 ,9 ]
Kelman, Jeffrey A. [6 ]
机构
[1] US Dept HHS, Biomed Adv Res & Dev Author, Off Assistant Secretary Preparedness & Response, Washington, DC 20201 USA
[2] Emory Univ, Emory Crit Care Ctr, Atlanta, GA 30322 USA
[3] Univ Kansas, Dept Internal Med, Div Pulm Crit Care & Sleep Med, Kansas City, KS USA
[4] US Dept HHS, Off Assistant Secretary Preparedness & Respon, Washington, DC 20201 USA
[5] Acumen LLC, Burlingame, CA USA
[6] US Dept HHS, Ctr Medicare & Medicaid Serv, Baltimore, MD USA
[7] Stanford Univ, Dept Econ, Stanford, CA 94305 USA
[8] Stanford Univ, Hoover Inst, Stanford, CA 94305 USA
[9] Stanford Univ, Stanford Inst Econ Policy Res, Stanford, CA 94305 USA
关键词
forecast; methods; models; sepsis; UNITED-STATES; INFLUENZA;
D O I
10.1097/CCM.0000000000004225
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Objective: To evaluate the impact of sepsis, age, and comorbidities on death following an acute inpatient admission and to model and forecast inpatient and skilled nursing facility costs for Medicare beneficiaries during and subsequent to an acute inpatient sepsis admission. Design: Analysis of paid Medicare claims via the Centers for Medicare & Medicaid Services DataLink Project (CMS) and leveraging the CMS-Hierarchical Condition Category risk adjustment model. Setting: All U.S. acute care hospitals, excepting federal hospitals (Veterans Administration and Defense Health Agency). Patients: All Part A/B (fee-for-service) Medicare beneficiaries with an acute inpatient admission in 2017 and who had no inpatient sepsis admission in the prior year. Interventions: None. Measurements and Main Results: Logistic regression models to determine covariate risk contribution to death following an acute inpatient admission; conventional regression to predict Medicare beneficiary sepsis costs. Using the Hierarchical Condition Category risk adjustment model to illuminate influence of illness on outcome of inpatient admissions, representative odds ratios (with 95% CIs) for death within 6 months of an admission (referenced to beneficiaries admitted but without the characteristic) are as follows: septic shock, 7.27 (7.19-7.35); metastatic cancer and acute leukemia (Hierarchical Condition Category 8), 6.76 (6.71-6.82); all sepsis, 2.63 (2.62-2.65); respiratory arrest (Hierarchical Condition Category 83), 2.55 (2.35-2.77); end-stage liver disease (Hierarchical Condition Category 27), 2.53 (2.49-2.56); and severe sepsis without shock, 2.48 (2.45-2.51). Models of the cost of sepsis care for Medicare beneficiaries forecast arise approximately 13% over 2 years owing the rising enrollments in Medicare offset by the cost of care per admission. Conclusions: A sepsis inpatient admission is associated with marked increase in risk of death that is comparable to the risks associated with inpatient admissions for other common and serious chronic illnesses. The aggregate costs of sepsis care for Medicare beneficiaries will continue to increase.
引用
收藏
页码:302 / 318
页数:17
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