Association of Insurance Type With Inpatient Surgical 30-Day Readmissions, Emergency Department Visits/Observation Stays, and Costs

Author:

Jacobs Michael A.1,Kim Jeongsoo1,Tetley Jasmine C.1,Schmidt Susanne2,Brimhall Bradley B.34,Mika Virginia4,Wang Chen-Pin2,Manuel Laura S.5,Damien Paul6,Shireman Paula K.147

Affiliation:

1. Department of Surgery, University of Texas Health San Antonio, San Antonio, TX

2. Department of Population Health Sciences, University of Texas Health San Antonio, San Antonio, TX

3. Department of Pathology and Laboratory Medicine, University of Texas Health San Antonio, San Antonio, TX

4. University Health, San Antonio, TX

5. Business Intelligence and Data Analytics, University of Texas Health Physicians, University of Texas Health San Antonio, San Antonio, TX

6. Department of Information, Risk, and Operations Management, Red McCombs School of Business, University of Texas, Austin, TX

7. Departments of Primary Care & Rural Medicine and Medical Physiology, School of Medicine, Texas A&M Health, Bryan, TX.

Abstract

Objective: To assess the association of Private, Medicare (MC), and Medicaid/Uninsured (MU) insurance type with 30-day emergency department visits/observation stays (EDOS), readmissions, and costs in a safety-net hospital (SNH) serving diverse socioeconomic status patients. Background: MC’s hospital readmission reduction program (HRRP) disproportionately penalizes SNHs. Methods: This retrospective cohort study used inpatient National Surgical Quality Improvement Program (2013–2019) data merged with cost data. Frailty, expanded operative stress score, case status, and insurance type were used to predict odds of EDOS and readmissions, as well as index hospitalization costs. Results: The cohort had 1477 Private; 1164 MC; and 3488 MU cases with a patient mean age 52.1 years [SD = 14.7] and 46.8% of the cases were performed on male patients. MU [adjusted odds ratio (aOR) = 2.69, 95% confidence interval (CI) = 2.38–3.05, P < 0.001] and MC (aOR = 1.32, 95% CI = 1.11–1.56, P = 0.001) had increased odds of urgent/emergent surgeries and complications versus Private patients. Despite having similar frailty distributions, MU compared to Private patients had higher odds of EDOS (aOR = 1.71, 95% CI = 1.39–2.11, P < 0.001), and readmissions (aOR = 1.35, 95% CI = 1.11–1.65, P = 0.004), after adjusting for frailty, OSS, and case status, whereas MC patients had similar odds of EDOS and readmissions versus Private. Hospitalization variable cost %change was increased for MC (12.5%) and MU (5.9%), but MU was similar to Private after adjusting for urgent/emergent cases. Conclusions: Increased rates and odds of urgent/emergent cases in MU patients drive increased odds of complications and index hospitalization costs versus Private. SNHs care for higher cost populations while receiving lower reimbursements and are further penalized by the unintended consequences of HRRP. Increasing access to care, especially for MU patients, could reduce urgent/emergent surgeries resulting in fewer complications, EDOS/readmissions, and costs.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Pharmacology (medical),Complementary and alternative medicine,Pharmaceutical Science

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