The Association of Lacking Insurance With Outcomes of Severe Sepsis: Retrospective Analysis of an Administrative Database

被引:45
|
作者
Kumar, Gagan [1 ]
Taneja, Amit [1 ]
Majumdar, Tilottama [1 ]
Jacobs, Elizabeth R. [1 ]
Whittle, Jeff [2 ,3 ]
Nanchal, Rahul [1 ]
机构
[1] Med Coll Wisconsin, Dept Med, Div Pulm & Crit Care Med, Milwaukee, WI 53226 USA
[2] Med Coll Wisconsin, Dept Med, Div Gen Internal Med, Milwaukee, WI 53226 USA
[3] Clement J Zablocki VA Med Ctr, Primary Care Div, Milwaukee, WI USA
关键词
administrative data; insurance status; mortality; outcomes; severe sepsis; uninsured; INTENSIVE-CARE-UNIT; HEALTH-INSURANCE; RISK-FACTORS; US ADULTS; MORTALITY; TRAUMA; ACCESS; STATES; RACE/ETHNICITY; DISPARITIES;
D O I
10.1097/01.ccm.0000435667.15070.9c
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Objective: Patients with severe sepsis have high mortality that is improved by timely, often expensive, treatments. Patients without insurance are more likely to delay seeking care; they may also receive less intense care. Design: We performed a retrospective analysis of administrative databaseHealthcare Costs and Utilization Project's Nationwide Inpatient Sampleto test whether mortality is more likely among uninsured patients hospitalized for severe sepsis. Patients: None. Interventions: We used International Classification of Diseases9th Revision, Clinical Modification, codes indicating sepsis and organ system failure to identify hospitalizations for severe sepsis among patients aged 18-64 between 2000 and 2008. We excluded patients with end-stage renal disease or solid organ transplants because very few are uninsured. We performed multivariate logistic regression modeling to examine the association of insurance status and in-hospital mortality, adjusted for patient and hospital characteristics. We performed subgroup analysis to examine whether the impact of insurance status varied by geographical region; by patient age, sex, or race; or by hospital characteristics such as teaching status, size, or ownership. We used similar methods to examine the impact of insurance status on the use of certain procedures, length of stay, and discharge destination. Measurements and Main Results: There were 1,600,269 discharges with severe sepsis from 2000 through 2008 in the age group 18-64 years. Uninsured people, who accounted for 7.5% of admissions with severe sepsis, had higher adjusted odds of mortality (odds ratio, 1.43; 95% CI, 1.37-1.47) than privately insured people. The higher mortality in uninsured was present in all subgroups and was similar in each year from 2000 to 2008. After adjustment, uninsured individuals had a slightly shorter length of stay than insured people and were less likely to receive five of the six interventions we examined. They were also less likely to be discharged to skilled nursing facilities or with home healthcare after discharge. Conclusions: Uninsured are more likely to die following admission for severe sepsis than patients with insurance, even after adjusting for potential confounders. This was not due to a hospital effect or demographic or clinical factors available in our administrative database. Further research should examine the mechanisms that lead to this association.
引用
收藏
页码:583 / 591
页数:9
相关论文
共 50 条
  • [21] Association of gender, age, and race on renal outcomes and mortality in patients with severe sepsis and septic shock
    Cerceo, Elizabeth
    Rachoin, Jean-Sebastien
    Gaughan, John
    Weisberg, Lawrence
    JOURNAL OF CRITICAL CARE, 2021, 61 : 52 - 56
  • [22] Volume-outcome relationship on survival and cost benefits in severe burn injury: a retrospective analysis of a Japanese nationwide administrative database
    Endo, Akira
    Shiraishi, Atsushi
    Otomo, Yasuhiro
    Fushimi, Kiyohide
    Murata, Kiyoshi
    JOURNAL OF INTENSIVE CARE, 2019, 7 (1)
  • [23] Mind the gap: an administrative data analysis of dental treatment outcomes and severe mental illness
    Ferry, Finola
    Rosato, Michael
    Leavey, Gerard
    JOURNAL OF MENTAL HEALTH, 2024, 33 (04) : 474 - 480
  • [24] Epidemiology of major lower extremity amputations in individuals with diabetes in Austria, 2014-2017: A retrospective analysis of health insurance database
    Aziz, Faisal
    Reichardt, Berthold
    Sourij, Caren
    Dimai, Hans-Peter
    Reichart, Daniela
    Kohler, Gerd
    Brodmann, Marianne
    Sourij, Harald
    DIABETES RESEARCH AND CLINICAL PRACTICE, 2020, 170
  • [25] Volume-outcome relationship on survival and cost benefits in severe burn injury: a retrospective analysis of a Japanese nationwide administrative database
    Akira Endo
    Atsushi Shiraishi
    Yasuhiro Otomo
    Kiyohide Fushimi
    Kiyoshi Murata
    Journal of Intensive Care, 7
  • [26] Nomogram Predicting Severe Adverse Events After Musculoskeletal Tumor Surgery: Analysis of a National Administrative Database
    Ogura, Koichi
    Yasunaga, Hideo
    Horiguchi, Hiromasa
    Fushimi, Kiyohide
    Tanaka, Sakae
    Kawano, Hirotaka
    ANNALS OF SURGICAL ONCOLOGY, 2014, 21 (11) : 3564 - 3571
  • [27] Association of Thiamine Use with Outcomes in Patients with Sepsis and Alcohol Use Disorder: An Analysis of the MIMIC-III Database
    Chang Hu
    Tong Wu
    Siqing Ma
    Weipeng Huang
    Qiancheng Xu
    Kianoush B. Kashani
    Bo Hu
    Jianguo Li
    Infectious Diseases and Therapy, 2022, 11 : 771 - 786
  • [28] Association of Thiamine Use with Outcomes in Patients with Sepsis and Alcohol Use Disorder: An Analysis of the MIMIC-III Database
    Hu, Chang
    Wu, Tong
    Ma, Siqing
    Huang, Weipeng
    Xu, Qiancheng
    Kashani, Kianoush B.
    Hu, Bo
    Li, Jianguo
    INFECTIOUS DISEASES AND THERAPY, 2022, 11 (02) : 771 - 786
  • [29] Weekday and outcomes of elective cardiac surgery in the UK: a large retrospective database analysis
    Fudulu, Daniel Paul
    Dimagli, Arnaldo
    Sinha, Shubhra
    Narayan, Pradeep
    Chan, Jeremy
    Dong, Tim
    Benedetto, Umberto
    Angelini, Gianni Davide
    EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY, 2022, 61 (06) : 1381 - 1388
  • [30] Effects of active smoking on postoperative outcomes in hospitalised patients undergoing elective surgery: a retrospective analysis of an administrative claims database in Japan
    Yoshikawa, Reiko
    Katada, Jun
    BMJ OPEN, 2019, 9 (10):