Surgical site infection risk following cesarean deliveries covered by Medicaid or private insurance.

OBJECTIVE: To compare risk of surgical site infection (SSI) following cesarean delivery between women covered by Medicaid and private health insurance. STUDY DESIGN: Retrospective cohort. STUDY POPULATION: Cesarean deliveries covered by Medicaid or private insurance and reported to the National Healthcare Safety Network (NHSN) and state inpatient discharge databases by hospitals in California (2011-2013). METHODS: Deliveries reported to NHSN and state inpatient discharge databases were linked to identify SSIs in the 30 days following cesarean delivery, primary payer, and patient and procedure characteristics. Additional hospital-level characteristics were obtained from public databases. Relative risk of SSI by primary payer primary payer was assessed using multivariable logistic regression adjusting for patient, procedure, and hospital characteristics, accounting for facility-level clustering. RESULTS: Of 291,757 cesarean deliveries included, 48% were covered by Medicaid. SSIs were detected following 1,055 deliveries covered by Medicaid (0.75%) and 955 deliveries covered by private insurance (0.63%) (unadjusted odds ratio, 1.2; 95% confidence interval [CI], 1.1-1.3; P < .0001). The adjusted odds of SSI following cesarean deliveries covered by Medicaid was 1.4 (95% CI, 1.2-1.6; P < .0001) times the odds of those covered by private insurance. CONCLUSIONS: In this, the largest and only multicenter study to investigate SSI risk following cesarean delivery by primary payer, Medicaid-insured women had a higher risk of infection than privately insured women. These findings suggest the need to evaluate and better characterize the quality of maternal healthcare for and needs of women covered by Medicaid to inform targeted infection prevention and policy.

The projected burden of complex surgical site infections following hip and knee arthroplasties in adults in the United States, 2020 through 2030.

BACKGROUND: As the US population ages, the number of hip and knee arthroplasties is expected to increase. Because surgical site infections (SSIs) following these procedures contribute substantial morbidity, mortality, and costs, we projected SSIs expected to occur from 2020 through 2030. METHODS: We used a stochastic Poisson process to project the number of primary and revision arthroplasties and SSIs. Primary arthroplasty rates were calculated using annual estimates of hip and knee arthroplasty stratified by age and gender from the 2012-2014 Nationwide Inpatient Sample and standardized by census population data. Revision rates, dependent on time from primary procedure, were obtained from published literature and were uniformly applied for all ages and genders. Stratified complex SSI rates for arthroplasties were obtained from 2012-2015 National Healthcare Safety Network data. To evaluate the possible impact of prevention measures, we recalculated the projections with an SSI rate reduced by 30%, the national target established by the US Department of Health and Human Services (HHS). RESULTS: Without a reduction in SSI rates, we projected an increase in complex SSIs following hip and knee arthroplasty of 14% between 2020 and 2030. We projected a total burden of 77,653 SSIs; however, meeting the 30% rate reduction could prevent 23,297 of these SSIs. CONCLUSIONS: Given current SSI rates, we project that complex SSI burden for primary and revision arthroplasty may increase due to an aging population. Reducing the SSI rate to the national HHS target could prevent 23,000 SSIs and reduce subsequent morbidity, mortality, and Medicare costs.

Medicare Reimbursement Attributable to Periprosthetic Joint Infection Following Primary Hip and Knee Arthroplasty.

This study estimated Medicare reimbursement attributable to periprosthetic joint infection (PJI) across the continuum of covered services four years following hip or knee arthroplasty. Using 2001-2008 Medicare claims data, total and annual attributable reimbursements were assessed using generalized linear regression, adjusting for potential confounders. Within one year following arthroplasty, 109 (1.04%) of 10,418 beneficiaries were diagnosed with PJI. Cumulative Medicare reimbursement in the PJI arm was 2.2-fold (1.9-2.6, P<.0001) or $53,470 ($39,575-$68,221) higher than that of the non-PJI arm. The largest difference in reimbursement occurred the first year (3.2-fold); differences persisted the second (2.3-fold) and third (1.9-fold) follow up years. PJI following hip or knee arthroplasty appears costly to Medicare, with cost traversing several years and health care service areas.

Medicare reimbursement attributable to catheter-associated urinary tract infection in the inpatient setting: a retrospective cohort analysis.

BACKGROUND: Most catheter-associated urinary tract infections (CAUTIs) are considered preventable and thus a potential target for health care quality improvement and cost savings. OBJECTIVES: We sought to estimate excess Medicare reimbursement, length of stay, and inpatient death associated with CAUTI among hospitalized beneficiaries. RESEARCH DESIGN: Using a retrospective cohort design with linked Medicare inpatient claims and National Healthcare Safety Network data from 2009, we compared Medicare reimbursement between Medicare beneficiaries with and without CAUTIs. SUBJECTS: Fee-for-service Medicare beneficiaries aged 65 years or older with continuous coverage of parts A (hospital insurance) and B (supplementary medical insurance). RESULTS: We found that beneficiaries with CAUTI had higher median Medicare reimbursement [intensive care unit (ICU): $8548, non-ICU: $1479) and length of stay (ICU: 8.1 d, non-ICU: 3.6 d) compared with those without CAUTI controlling for potential confounding factors. Odds of inpatient death were higher among beneficiaries with versus without CAUTI only among those with an ICU stay (ICU: odds ratio 1.37). CONCLUSIONS: Beneficiaries with CAUTI had increased Medicare reimbursement and length of stay compared with those without CAUTI after adjusting for potential confounders.