Antibiotic-resistant infections are a global health care concern. The Centers for Disease Control and Prevention estimates that 23,000 Americans with these infections die each year. Rising infection rates add to the costs of health care and compromise the quality of medical and surgical procedures provided. Little is known about the national health care costs attributable to treating the infections. Using data from the Medical Expenditure Panel Survey, we estimated the incremental health care costs of treating a resistant infection as well as the total national costs of treating such infections. To our knowledge, this is the first national estimate of the costs for treating the infections. We found that antibiotic resistance added $1,383 to the cost of treating a patient with a bacterial infection. Using our estimate of the number of such infections in 2014, this amounts to a national cost of $2.2 billion annually. The need for innovative new infection prevention programs, antibiotics, and vaccines to prevent and treat antibiotic-resistant infections is an international priority.

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IMPORTANCE Medicare is moving toward value-based payment. The Merit-Based Incentive Payment System (MIPS) program judges outpatient clinicians' performance on a measure of annual Medicare spending. However, this measure may disadvantage outpatient clinicians who care for vulnerable populations because the algorithm omits meaningful determinants of cost. OBJECTIVES To determine whether factors not included in Medicare risk adjustment, including patient neuropsychological and functional status, as well as local area health resources and economic conditions, are associated with Medicare total annual cost of care (TACC), and evaluate whether accounting for these factors is associated with improved TACC performance by outpatient safety-net clinicians. DESIGN, SETTING, AND PARTICIPANTS In this retrospective observational study, we used the Medicare Current Beneficiary Survey (MCBS) to examine patient-reported neuropsychological and functional status and the Area Health Resources File to obtain information on local area characteristics. Included were Medicare beneficiaries with annual physician or clinic visits to outpatient safety-net (federally qualified health centers and rural health clinics) and non-safety-net clinics, contributing 76 927 person-years of data to the MCBS from 2006 through 2013. We used patient-level multivariable regression models to estimate the association between each factor and annual Medicare spending, and compared outpatient safety-net performance under current risk adjustment and after adding additional adjustment for these factors. MAIN OUTCOMES AND MEASURES Medicare TACC, measured as the total annual reimbursed amount per patient for Medicare Part A and Part B services, in all categories. RESULTS Our study included 111 414 unique identifiable physicians, and the final weighted sample included 213 904 324 patient-years (unweighted, 76 927 patient-years) from 30 058 unique patients, of whom 17 478 (58.1%) were women. The mean (SD) patient age was 71.84

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practices into health systems composed of hospitals and multispecialty practices is increasing in the era of value-based payment. It is unknown how clinicians who affiliate with such health systems perform under the new mandatory Centers for Medicare & Medicaid Services Merit-based Incentive Payment System (MIPS) relative to their peers. OBJECTIVE To assess the relationship between the health system affiliations of clinicians and their performance scores and value-based reimbursement under the 2019 MIPS. DESIGN, SETTING, AND PARTICIPANTS Publicly reported data on 636 552 clinicians working at outpatient clinics across the US were used to assess the association of the affiliation status of clinicians within the 609 health systems with their 2019 final MIPS performance score and value-based reimbursement (both based on clinician performance in 2017), adjusting for clinician, patient, and practice area characteristics. EXPOSURES Health system affiliation vs no affiliation. MAIN OUTCOMES AND MEASURESThe primary outcome was final MIPS performance score (range, 0-100; higher scores intended to represent better performance). The secondary outcome was MIPS payment adjustment, including negative (penalty) payment adjustment, positive payment adjustment, and bonus payment adjustment. RESULTSThe final sample included 636 552 clinicians (41% female, 83% physicians, 50% in primary care, 17% in rural areas), including 48.6% who were affiliated with a health system. Compared with unaffiliated clinicians, system-affiliated clinicians were significantly more likely to be female (46% vs 37%), primary care physicians (36% vs 30%), and classified as safety net clinicians (12% vs 10%) and significantly less likely to be specialists (44% vs 55%) (P < .001 for each). The mean final MIPS performance score for system-affiliated clinicians was 79.0 vs 60.3 for unaffiliated clinicians (absolute mean difference, 18.7 [95% CI, 18.5 to 18.8]). The percentage receiving a negative (penalty) payment adjustment was 2.8% for system-affiliated clinicians vs 13.7% for unaffiliated clinicians (absolute difference, −10.9% [95% CI, −11.0% to −10.7%]), 97.1% vs 82.6%, respectively, for those receiving a positive payment adjustment (absolute difference, 14.5% [95% CI, 14.3% to 14.6%]), and 73.9% vs 55.1% for those receiving a bonus payment adjustment (absolute difference, 18.9% [95% CI, 18.6% to 19.1%]). CONCLUSIONS AND RELEVANCEClinician affiliation with a health system was associated with significantly better 2019 MIPS performance scores. Whether this represents differences in quality of care or other factors requires additional research.