» Articles » PMID: 20647910

Primary Payer Status Affects Mortality for Major Surgical Operations

Overview
Journal Ann Surg
Specialty General Surgery
Date 2010 Jul 22
PMID 20647910
Citations 113
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: Medicaid and Uninsured populations are a significant focus of current healthcare reform. We hypothesized that outcomes following major surgical operations in the United States is dependent on primary payer status.

Methods: From 2003 to 2007, 893,658 major surgical operations were evaluated using the Nationwide Inpatient Sample (NIS) database: lung resection, esophagectomy, colectomy, pancreatectomy, gastrectomy, abdominal aortic aneurysm repair, hip replacement, and coronary artery bypass. Patients were stratified by primary payer status: Medicare (n = 491,829), Medicaid (n = 40,259), Private Insurance (n = 337,535), and Uninsured (n = 24,035). Multivariate regression models were applied to assess outcomes.

Results: Unadjusted mortality for Medicare (4.4%; odds ratio [OR], 3.51), Medicaid (3.7%; OR, 2.86), and Uninsured (3.2%; OR, 2.51) patient groups were higher compared to Private Insurance groups (1.3%, P < 0.001). Mortality was lowest for Private Insurance patients independent of operation. After controlling for age, gender, income, geographic region, operation, and 30 comorbid conditions, Medicaid payer status was associated with the longest length of stay and highest total costs (P < 0.001). Medicaid (P < 0.001) and Uninsured (P < 0.001) payer status independently conferred the highest adjusted risks of mortality.

Conclusions: Medicaid and Uninsured payer status confers increased risk-adjusted mortality. Medicaid was further associated with the greatest adjusted length of stay and total costs despite risk factors or operation. These differences serve as an important proxy for larger socioeconomic and health system-related issues that could be targeted to improve surgical outcomes for US Patients.

Citing Articles

Medicaid Expansion Increases Treatment for Patients with Colon Cancer.

Lyons J, Danos D, Maniscalco L, Yi Y, Moaven O, Wu X Cancers (Basel). 2025; 17(2).

PMID: 39857989 PMC: 11763530. DOI: 10.3390/cancers17020207.


Neighborhood Disadvantage and Prostate Tumor Aggressiveness among African American and European American Men.

Boyle J, Yau J, Slade J, Butts D, Wimbush J, Park J Cancer Epidemiol Biomarkers Prev. 2024; 33(10):1318-1326.

PMID: 39264110 PMC: 11614192. DOI: 10.1158/1055-9965.EPI-24-0450.


The association of payer type and opioid use on functional improvement at short-term follow-up after lumbosacral transforaminal epidural steroid injection: Results of a large registry study.

Reisinger R, Caragea M, Teramoto M, Shipman H, Berry-Rieser D, Oli M Interv Pain Med. 2024; 1(2):100073.

PMID: 39239370 PMC: 11372967. DOI: 10.1016/j.inpm.2022.100073.


Demographic, Socioeconomic, and Clinical Factors Associated with Severe Vision Loss in Patients with Neovascular Glaucoma.

Cotton C, Goerl B, Kaplan E, Krause M Clin Ophthalmol. 2024; 18:2137-2145.

PMID: 39051021 PMC: 11268748. DOI: 10.2147/OPTH.S452884.


Evaluating frailty using the modified frailty index for colonic diverticular disease surgery: analysis of the national inpatient sample 2015-2019.

McKechnie T, Jessani G, Bakir N, Lee Y, Sne N, Doumouras A Surg Endosc. 2024; 38(7):4031-4041.

PMID: 38874611 DOI: 10.1007/s00464-024-10965-x.


References
1.
Salim A, Ottochian M, DuBose J, Inaba K, Teixeira P, Chan L . Does insurance status matter at a public, level I trauma center?. J Trauma. 2010; 68(1):211-6. DOI: 10.1097/TA.0b013e3181a0e659. View

2.
Rosen H, Saleh F, Lipsitz S, Meara J, Rogers Jr S . Lack of insurance negatively affects trauma mortality in US children. J Pediatr Surg. 2009; 44(10):1952-7. DOI: 10.1016/j.jpedsurg.2008.12.026. View

3.
Lin D, Psaty B, Kronmal R . Assessing the sensitivity of regression results to unmeasured confounders in observational studies. Biometrics. 1998; 54(3):948-63. View

4.
Wallace A, Young-Xu Y, Hartley D, Weeks W . Racial, socioeconomic, and rural-urban disparities in obesity-related bariatric surgery. Obes Surg. 2010; 20(10):1354-60. DOI: 10.1007/s11695-009-0054-x. View

5.
Wallace L, Cassada D, Rogers E, Freeman M, Grandas O, Stevens S . Can screening items identify surgery patients at risk of limited health literacy?. J Surg Res. 2007; 140(2):208-13. DOI: 10.1016/j.jss.2007.01.029. View