Mortality and morbidity ramifications of proposed retractions in healthcare coverage for the United States.

In the absence of universal healthcare in the United States, federal programs of Medicaid and Medicare are vital to providing healthcare coverage for low-income households and elderly individuals, respectively. However, both programs are under threat, with either enacted or proposed retractions. Specifically, raising Medicare age eligibility and the addition of work requirements for Medicaid qualification have been proposed, while termination of continuous enrollment for Medicaid was recently effectuated. Here, we assess the potential impact on mortality and morbidity resulting from these policy changes. Our findings indicate that the policy change to Medicare would lead to over 17,000 additional deaths among individuals aged 65 to 67 and those to Medicaid would lead to more than 8,000 deaths among those under the age of 65. To illustrate the implications for morbidity, we further consider a case study among those people with diabetes who would be likely to lose their health insurance under the policy changes. We project that these insurance retractions would lead to the loss of coverage for over 700,000 individuals with diabetes, including more than 200,000 who rely on insulin.

Relative Effectiveness and Waning of a Third Dose of mRNA COVID-19 Vaccine in Medicare Beneficiaries Aged 65 Years and Older during the BA.1/BA.2 Omicron Period.

BACKGROUND: We assessed the added benefit and waning effectiveness of a third COVID-19 vaccine dose (original formula) for preventing COVID-19-related outcomes. METHODS: We used Medicare claims data to conduct a retrospective cohort study in U.S. community-dwelling Medicare Fee-for-Service beneficiaries aged ≥65 years during the BA.1/BA.2 Omicron period (December 19, 2021 - March 26, 2022). We estimated relative vaccine effectiveness (RVE) of 3 versus 2 doses of mRNA COVID-19 vaccines using marginal structural Cox regression models. RESULTS: Among 8,135,020 eligible beneficiaries, 73.3% were 3-dose vaccinated by March 26, 2022. At 14-60 days since vaccination, a third dose provided significant added benefit against COVID-19-related hospitalization for Moderna (RVE: 77.2%; 95% confidence interval (CI): 76.0%, 78.4%) and Pfizer-BioNTech (RVE: 72.5%; 95% CI: 70.8%, 74.0%). Added benefit was lower >120 days. For those with prior medically attended COVID-19 diagnoses, Pfizer-BioNTech provided an added benefit for 120 days, while Moderna provided some added benefit >120 days. Added benefit for either vaccine was higher against death compared to less severe outcomes, which still decreased >120 days. CONCLUSIONS: A third dose COVID-19 vaccine provided significant added benefit against COVID-19-related hospitalization and death, even for beneficiaries with prior medically attended COVID-19 diagnoses. This added benefit decreased after 4 months.

Changes in Cardiovascular Spending, Care Utilization, and Clinical Outcomes Associated With Participation in Bundled Payments for Care Improvement - Advanced.

BACKGROUND: Bundled Payments for Care Improvement - Advanced (BPCI-A) is a Medicare initiative that aims to incentivize reductions in spending for episodes of care that start with a hospitalization and end 90 days after discharge. Cardiovascular disease, an important driver of Medicare spending, is one of the areas of focus BPCI-A. It is unknown whether BPCI-A is associated with spending reductions or quality improvements for the 3 cardiovascular medical events or 5 cardiovascular procedures in the model. METHODS: In this retrospective cohort study, we conducted difference-in-differences analyses using Medicare claims for patients discharged between January 1, 2017, and September 30, 2019, to assess differences between BPCI-A hospitals and matched nonparticipating control hospitals. Our primary outcomes were the differential changes in spending, before versus after implementation of BPCI-A, for cardiac medical and procedural conditions at BPCI-A hospitals compared with controls. Secondary outcomes included changes in patient complexity, care utilization, healthy days at home, readmissions, and mortality. RESULTS: Baseline spending for cardiac medical episodes at BPCI-A hospitals was $25 606. The differential change in spending for cardiac medical episodes at BPCI-A versus control hospitals was $16 (95% CI, -$228 to $261; P=0.90). Baseline spending for cardiac procedural episodes at BPCI-A hospitals was $37 961. The differential change in spending for cardiac procedural episodes was $171 (95% CI, -$429 to $772; P=0.58). There were minimal differential changes in physicians' care patterns such as the complexity of treated patients or in their care utilization. At BPCI-A versus control hospitals, there were no significant differential changes in rates of 90-day readmissions (differential change, 0.27% [95% CI, -0.25% to 0.80%] for medical episodes; differential change, 0.31% [95% CI, -0.98% to 1.60%] for procedural episodes) or mortality (differential change, -0.14% [95% CI, -0.50% to 0.23%] for medical episodes; differential change, -0.36% [95% CI, -1.25% to 0.54%] for procedural episodes). CONCLUSIONS: Participation in BPCI-A was not associated with spending reductions, changes in care utilization, or quality improvements for the cardiovascular medical events or procedures offered in the model.

Epidemiology of Lyme Disease Diagnoses among Older Adults, United States, 2016-20191.

We used Medicare data to identify >88,000 adults >65 years of age diagnosed and treated for Lyme disease during 2016-2019 in the United States. Most diagnoses occurred among residents of high-incidence states, in summer, and among men. Incidence of diagnoses was substantially higher than that reported through public health surveillance.

Automated Identification of Fall-related Injuries in Unstructured Clinical Notes.

Fall-related injuries (FRIs) are a major cause of hospitalizations among older patients, but identifying them in unstructured clinical notes poses challenges for large-scale research. In this study, we developed and evaluated Natural Language Processing (NLP) models to address this issue. We utilized all available clinical notes from the Mass General Brigham for 2,100 older adults, identifying 154,949 paragraphs of interest through automatic scanning for FRI-related keywords. Two clinical experts directly labeled 5,000 paragraphs to generate benchmark-standard labels, while 3,689 validated patterns were annotated, indirectly labeling 93,157 paragraphs as validated-standard labels. Five NLP models, including vanilla BERT, RoBERTa, Clinical-BERT, Distil-BERT, and SVM, were trained using 2,000 benchmark paragraphs and all validated paragraphs. BERT-based models were trained in three stages: Masked Language Modeling, General Boolean Question Answering (QA), and QA for FRI. For validation, 500 benchmark paragraphs were used, and the remaining 2,500 for testing. Performance metrics (precision, recall, F1 scores, Area Under ROC [AUROC] or Precision-Recall [AUPR] curves) were employed by comparison, with RoBERTa showing the best performance. Precision was 0.90 [0.88-0.91], recall [0.90-0.93], F1 score 0.90 [0.89-0.92], AUROC and AUPR curves of 0.96 [0.95-0.97]. These NLP models accurately identify FRIs from unstructured clinical notes, potentially enhancing clinical notes-based research efficiency.

Comparing traditional and causal inference methodologies for evaluating impacts of long-term air pollution exposure on hospitalization with Alzheimer's disease and related dementias.

Alzheimer's disease and related dementias (ADRD) present a growing public health burden in the United States. One actionable risk factor for ADRD is air pollution: multiple studies have found associations between air pollution and exacerbation of ADRD. Our study builds on previous studies by applying modern statistical causal inference methodologies-generalized propensity score (GPS) weighting and matching-on a large, longitudinal dataset. We follow 50 million Medicare enrollees to investigate impacts of three air pollutants-fine particular matter (PM${}_{2.5}$), nitrogen dioxide (NO${}_2$), and summer ozone (O${}_3$)-on elderly patients' rate of first hospitalization with ADRD diagnosis. Similar to previous studies using traditional statistical models, our results found increased hospitalization risks due to increased PM${}_{2.5}$ and NO${}_2$ exposure, with less conclusive results for O${}_3$. In particular, our GPS weighting analysis finds IQR increases in PM${}_{2.5}$, NO${}_2$, or O${}_3$ exposure results in hazard ratios of 1.108 (95% CI: 1.097-1.119), 1.058 (1.049-1.067), or 1.045 (1.036-1.054), respectively. GPS matching results are similar for PM${}_{2.5}$ and NO${}_2$ with attenuated effects for O${}_3$. Our results strengthen arguments that long-term PM${}_{2.5}$ and NO${}_2$ exposure increases risk of hospitalization with ADRD diagnosis. Additionally, we highlight strengths and limitations of causal inference methodologies in observational studies with continuous treatments. Keywords: Alzheimer's disease and related dementias, air pollution, Medicare, causal inference, generalized propensity score.

Statin use and risks of breast cancer recurrence and mortality.

BACKGROUND: Preclinical evidence suggests improved breast cancer survival associated with statin use, but findings from observational studies are conflicting and remain inconclusive. The objective of this study was to assess the association between statin use after cancer diagnosis and cancer outcomes among breast cancer patients. METHODS: In this retrospective cohort study, 38,858 women aged ≥66 years who were diagnosed with localized and regional stage breast cancer from 2008 through 2017 were identified from the linked Surveillance, Epidemiology, and End Results Medicare database. Statin use was ascertained from Medicare Part D pharmacy claims data. Multivariable Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between post-diagnosis statin use and risks of breast cancer recurrence and breast cancer-specific mortality. RESULTS: Over a median follow-up of 2.9 years for recurrence and 3.7 years for mortality, 1446 women experienced a recurrence, and 2215 died from breast cancer. The mean duration of post-diagnosis statin use was 2.2 years. Statin use post-diagnosis was not associated with recurrence risk (HR, 1.05; 95% CI, 0.91-1.21), but was associated with a reduced risk of cancer-specific mortality (HR, 0.85; 95% CI, 0.75-0.96). The reduction was more pronounced in women with hormone receptor-positive/human epidermal growth factor receptor 2-negative breast cancer (HR, 0.71; 95% CI, 0.57-0.88). CONCLUSIONS: These findings suggest that post-diagnosis statin use is associated with improved cancer-specific survival in women with breast cancer and should be confirmed in randomized trials of statin therapy in breast cancer patients.

Long-term multimorbidity trajectories in older adults: The role of cancer, demographics, and health behaviors.

BACKGROUND: Multimorbidity is associated with premature mortality and excess health care costs. The burden of multimorbidity is highest among patients with cancer, yet trends and determinants of multimorbidity over time are poorly understood. METHODS: Via Medicare claims linked to Cancer Prevention Study II data, group-based trajectory modeling was used to compare National Cancer Institute comorbidity index score trends for cancer survivors and older adults without a cancer history. Among cancer survivors, multinomial logistic regression analyses evaluated associations between demographics, health behaviors, and comorbidity trajectories. RESULTS: In 82,754 participants (mean age, 71.6 years [SD, 5.1 years]; 56.9% female), cancer survivors (n = 11,265) were more likely than older adults without a cancer history to experience the riskiest comorbidity trajectories: (1) steady, high comorbidity scores (remain high; odds ratio [OR], 1.36; 95% CI, 1.29-1.45), and (2) high scores that increased over time (start high and increase; OR, 1.51; 95% CI, 1.38-1.65). Cancer survivors who were physically active postdiagnosis were less likely to fall into these two trajectories (OR, 0.73; 95% CI, 0.64-0.84, remain high; OR, 0.42; 95% CI, 0.33-0.53, start high and increase) compared to inactive survivors. Cancer survivors with obesity were more likely to have a trajectory that started high and increased (OR, 2.83; 95% CI, 2.32-3.45 vs. normal weight), although being physically active offset some obesity-related risk. Cancer survivors who smoked postdiagnosis were also six times more likely to have trajectories that started high and increased (OR, 6.86; 95% CI, 4.41-10.66 vs. never smokers). CONCLUSIONS: Older cancer survivors are more likely to have multiple comorbidities accumulated at a faster pace than older adults without a history of cancer. Weight management, physical activity, and smoking avoidance postdiagnosis may attenuate that trend.

Oncology drug pricing: potential Medicare savings on cancer-directed and supportive care medications through the Mark Cuban cost plus drug model.

Prescription drug costs within oncology remain a challenge for many patients with cancer. The Mark Cuban Cost Plus Drug Company (MCCPDC) launched in 2022, aiming to provide transparently priced medications at reduced costs. In this study, we sought to describe the potential impact of MCCPDC on Medicare Part-D oncology spending related to cancer-directed (n = 7) and supportive care (n = 26) drugs. We extracted data for drug-specific Part-D claims and spending for 2021. Using 90-count purchases from MCCPDC, we found potential Part-D savings of $857.8 million (91% savings) across the 7 cancer-directed drugs and $28.7 million (67% savings) across 21/26 (5/26 did not demonstrate savings) supportive care drugs. Collectively, our findings support that alternative purchasing models like MCCPDC may promote substantial health care savings.

Longitudinal trajectories of a claims-based frailty measure during adjuvant chemotherapy in women with stage I-III breast cancer.

BACKGROUND: Frailty is a dynamic syndrome characterized by reduced physiological reserve to maintain homeostasis. Prospective studies have reported frailty worsening in women with breast cancer during chemotherapy, with improvements following treatment. We evaluated whether the Faurot frailty index, a validated claims-based frailty measure, could identify changes in frailty during chemotherapy treatment and identified predictors of trajectory patterns. METHODS: We included women (65+ years) with stage I-III breast cancer undergoing adjuvant chemotherapy in the SEER-Medicare database (2003-2019). We estimated the Faurot frailty index (range: 0-1; higher scores indicate greater frailty) at chemotherapy initiation, 4 months postinitiation, and 10 months postinitiation. Changes in frailty were compared to a matched noncancer comparator cohort. We identified patterns of frailty trajectories during the year following chemotherapy initiation using K-means clustering. RESULTS: Twenty-one thousand five hundred and ninety-nine women initiated adjuvant chemotherapy. Mean claims-based frailty increased from 0.037 at initiation to 0.055 4 months postchemotherapy initiation and fell to 0.049 10 months postinitiation. Noncancer comparators experienced a small increase in claims-based frailty over time (0.055-0.062). We identified 6 trajectory patterns: a robust group (78%), 2 resilient groups (16%), and 3 nonresilient groups (6%). Black women and women with claims for home hospital beds, wheelchairs, and Parkinson's disease were more likely to experience nonresilient trajectories. CONCLUSIONS: We observed changes in a claims-based frailty index during chemotherapy that are consistent with prior studies using clinical measures of frailty and identified predictors of nonresilient frailty trajectories. Our study demonstrates the feasibility of using claims-based frailty indices to assess changes in frailty during cancer treatment.

Incidence, Prevalence, and Racial and Ethnic Distribution of Inflammatory Bowel Disease in the United States.

BACKGROUND & AIMS: We sought to estimate the incidence, prevalence, and racial-ethnic distribution of physician-diagnosed inflammatory bowel disease (IBD) in the United States. METHODS: The study used 4 administrative claims data sets: a 20% random sample of national fee-for-service Medicare data (2007 to 2017); Medicaid data from Florida, New York, Pennsylvania, Ohio, and California (1999 to 2012); and commercial health insurance data from Anthem beneficiaries (2006 to 2018) and Optum's deidentified Clinformatics Data Mart (2000 to 2017). We used validated combinations of medical diagnoses, diagnostic procedures, and prescription medications to identify incident and prevalent diagnoses. We computed pooled age-, sex-, and race/ethnicity-specific insurance-weighted estimates and pooled estimates standardized to 2018 United States Census estimates with 95% confidence intervals (CIs). RESULTS: The age- and sex-standardized incidence of IBD per 100,000 person-years was 10.9 (95% CI, 10.6-11.2). The incidence of IBD peaked in the third decade of life, decreased to a relatively stable level across the fourth to eighth decades, and declined further. The age-, sex- and insurance-standardized prevalence of IBD was 721 per 100,000 population (95% CI, 717-726). Extrapolated to the 2020 United States Census, an estimated 2.39 million Americans are diagnosed with IBD. The prevalence of IBD per 100,000 population was 812 (95% CI, 802-823) in White, 504 (95% CI, 482-526) in Black, 403 (95% CI, 373-433) in Asian, and 458 (95% CI, 440-476) in Hispanic Americans. CONCLUSIONS: IBD is diagnosed in >0.7% of Americans. The incidence peaks in early adulthood and then plateaus at a lower rate. The disease is less commonly diagnosed in Black, Asian, and Hispanic Americans.

Disparities with influenza vaccine use in long-term survivors of metastatic breast cancer.

PURPOSE: Elderly women diagnosed with metastatic breast cancer (MBC) are living longer, however their primary care management may be sub-optimal. Influenza results in preventable hospitalizations and deaths. Guidelines recommend the influenza vaccine for those > 65 years and those with cancer but use is unknown. METHODS: A retrospective analysis was conducted using the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked data. Patients were included if they were diagnosed with MBC from 1/1/2008-12/31/2017 and were ≥ 65 years of age. The primary outcome was influenza vaccine use among patients surviving ≥ 3-years. We conducted multivariable analyses using demographic and clinical factors to identify associations with vaccine use. We compared utilization to cancer-free controls. RESULTS: We identified 1,970 patients with MBC that survived for ≥ 3 years. The median age at diagnosis was 73 years. Furthermore, 1,742 (88%) patients were White, and 153 (8%) patients were Black. Only 1,264 (64%) received an influenza vaccine at least one time and 51% received the vaccine at least two times. A multivariable model found lower odds of vaccine receipt for Black patients (OR = 0.48; 95% CI 0.34-0.68, p < 0.001) and higher odds for patients that saw primary care in the year prior to diagnosis (OR = 1.91, 95% CI 1.57-2.33, p < 0.001). Patients with MBC had lower odds of vaccine use compared to cancer free controls (OR = 0.85, 95% CI 0.74-0.97, p < 0.001). CONCLUSION: Over 1/3 of long-term MBC survivors in our cohort did not receive the influenza vaccine. Black patients are about half as likely to be vaccinated. Given the known benefit of the vaccine, improving uptake could be an important strategy to improve outcomes.

Association between trajectories of prescription opioid use and risk of opioid use disorder and overdose among US nonmetastatic breast cancer survivors.

PURPOSE: To examine the association between prescription opioid use trajectories and risk of opioid use disorder (OUD) or overdose among nonmetastatic breast cancer survivors by treatment type. METHODS: This retrospective cohort study included female nonmetastatic breast cancer survivors with at least 1 opioid prescription fill in 2010-2019 Surveillance, Epidemiology and End Results linked Medicare data. Opioid mean daily morphine milligram equivalents (MME) calculated within 1.5 years after initiating active breast cancer therapy. Group-based trajectory models identified distinct opioid use trajectory patterns. Risk of time to first OUD/overdose event within 1 year after the trajectory period was calculated for distinct trajectory groups using Cox proportional hazards models. Analyses were stratified by treatment type. RESULTS: Four opioid use trajectories were identified for each treatment group. For 38,030 survivors with systemic endocrine therapy, 3 trajectories were associated with increased OUD/overdose risk compared with early discontinuation: minimal dose (< 5 MME; adjusted hazard ratio [aHR] = 1.73 [95% CI 1.43-2.09]), very low dose (5-25 MME; 2.67 [2.05-3.48]), and moderate dose (51-90 MME; 6.20 [4.69-8.19]). For 9477 survivors with adjuvant chemotherapy, low-dose opioid use was associated with higher OUD/overdose risk (aHR = 7.33 [95% CI 2.52-21.31]) compared with early discontinuation. For 3513 survivors with neoadjuvant chemotherapy, the differences in OUD/OD risks across the 4 trajectories were not significant. CONCLUSIONS: Among Medicare nonmetastatic breast cancer survivors receiving systemic endocrine therapy or adjuvant chemotherapy, compared with early discontinuation, low-dose or moderate-dose opioid use were associated with six- to sevenfold higher OUD/overdose risk. Breast cancer survivors at high-risk of OUD/overdose may benefit from targeted interventions (e.g., pain clinic referral).

Addressing Social Needs in Clinical Settings: Implementation and Impact on Health Care Utilization, Costs, and Integration of Care.

In recent years, health care policy makers have focused increasingly on addressing social drivers of health as a strategy for improving health and health equity. Impacts of social, economic, and environmental conditions on health are well established. However, less is known about the implementation and impact of approaches used by health care providers and payers to address social drivers of health in clinical settings. This article reviews current efforts by US health care organizations and public payers such as Medicaid and Medicare to address social drivers of health at the individual and community levels. We summarize the limited available evidence regarding intervention impacts on health care utilization, costs, and integration of care and identify key lessons learned from current implementation efforts.

Effects of treatment methods on cutaneous melanoma related mortality and all-cause mortality in Texas: TCR-Medicare 2007-2017 database.

PURPOSE: The incidence of cutaneous melanoma is rising, and Melanoma related deaths are highest among people aged 65-74. Herein, we aim to understand the impact of novel and established melanoma treatment methods on CM related mortality and all-cause mortality. We further compared these effects among Hispanic and non-Hispanic Whites (NHW). METHODS: The data was extracted from the Texas Cancer Registry from 2007 to 2017. A Cox Proportional Hazard regression analysis was performed to assess treatment effect on melanoma mortality and all-cause mortality, with race-ethnicity as an effect modifier. RESULTS: A higher percentage of Hispanic patients presented with CM-related mortality (22.11%) compared to NHW patients (14.39%). In both the Hispanic and NHW, post-diagnosis radiation (HR = 1.610, 95% CI 0.984-2.634, HR = 2.348, 95% CI 2.082-2.648, respectively), post-diagnosis chemotherapy (HR = 1.899, 95% CI 1.085-3.322, HR = 2.035, 95% CI 1.664-2.489, respectively), and post-diagnosis immunotherapy (HR = 2.100, 95% CI 1.338-3.296, HR = 2.402, 95% CI 2.100-2.748) are each associated with an increased risk in CM-related mortality. Similar results were seen with post-diagnosis radiation (Hispanic HR = 1.640, 95% CI 1.121-2.400, NHW HR = 1.800, 95% CI 1.644-1.971), post-diagnostic chemotherapy (Hispanic HR = 1.457, 95% CI 0.898-2.364, NHW HR = 1.592, 95% CI 1.356-1.869), and post-diagnosis immunotherapy (Hispanic HR = 2.140, 95% CI 1.494-3.065, NHW HR = 2.190, 95% CI 1.969-2.435) with respect to all-cause mortality. Post-diagnosis surgery (HR = 0.581, 95% CI 0.395-0.856, HR = 0.622, 95% CI 0.571-0.678) had the opposite effect in CM-related mortality for Hispanics and NHWs respectively. CONCLUSION: Our results propose differences in all-cause and CM-only related mortality with separate treatment modalities, particularly with chemotherapy, radiation therapy and immunotherapy. In addition, this retrospective cohort study showed that health disparities exist in the Hispanic Medicare population of Texas with CM.

The Association Between Oncology Outreach and Timely Treatment for Rural Patients with Breast Cancer: A Claims-Based Approach.

BACKGROUND: Oncology outreach is a common strategy for increasing rural access to cancer care, where traveling oncologists commute across healthcare settings to extend specialized care. Examining the extent to which physician outreach is associated with timely treatment for rural patients is critical for informing outreach strategies. METHODS: We identified a 100% fee-for-service sample of incident breast cancer patients from 2015 to 2020 Medicare claims and apportioned them into surgery and adjuvant therapy cohorts based on treatment history. We defined an outreach visit as the provision of care by a traveling oncologist at a clinic outside of their primary hospital service area. We used hierarchical logistic regression to examine the associations between patient receipt of preoperative care at an outreach visit (preoperative outreach) and > 60-day surgical delay, and patient receipt of postoperative care at an outreach visit (postoperative outreach) and > 60-day adjuvant delay. RESULTS: We identified 30,337 rural-residing patients who received breast cancer surgery, of whom 4071 (13.4%) experienced surgical delay. Among surgical patients, 14,501 received adjuvant therapy, of whom 2943 (20.3%) experienced adjuvant delay. In adjusted analysis, we found that patient receipt of preoperative outreach was associated with reduced odds of surgical delay (odds ratio [OR] 0.75, 95% confidence interval [CI] 0.61-0.91); however, we found no association between patient receipt of postoperative outreach and adjuvant delay (OR 1.04, 95% CI 0.85-1.25). CONCLUSIONS: Our findings indicate that preoperative outreach is protective against surgical delay. The traveling oncologists who enable such outreach may play an integral role in catalyzing the coordination and timeliness of patient-centered care.

Evolving Economics: The Erosion of Medicare Reimbursement in Breast Surgery (2003-2023).

INTRODUCTION: Medicare significantly influences reimbursement rates, setting a standard that impacts private insurance policies. Despite declining rates in various specialties, the magnitude of these trends has not been examined in breast surgery. This study examines Medicare reimbursement trends for breast surgery operations. METHODS: Data for 10 breast operations from 2003 to 2023 were collected from the Medicare Physician Fee Look-Up Tool and yearly reimbursement was computed using the conversion factor. The year-to-year percentage change in reimbursement was calculated, and the overall median change was compared with the consumer price index (CPI) for inflation evaluation. All data were adjusted to 2023 United States dollars. The compound annual growth rate (CAGR) was calculated using inflation-adjusted data. RESULTS: Over the study period, reimbursement for the 10 breast operations had a mean unadjusted percentage increase of + 25.17%, while the CPI increased by 69.15% (p < 0.001). However, after adjustment, overall reimbursement decreased by - 20.70%. Only two operations (lumpectomy and simple mastectomy) saw increased inflation-adjusted Medicare reimbursement (+ 0.37% and + 3.58%, respectively). The CAGR was - 1.54% overall but remained positive for the same two operations (+ 0.02% and + 0.18%, respectively). Based on these findings, breast surgeons were estimated to be reimbursed $107,605,444 less in 2023 than if rates had kept pace with inflation over the past decade. CONCLUSION: Inflation-adjusted Medicare reimbursement rates for breast surgeries have declined from 2003 to 2023. This downward trend may strain resources, potentially leading to compromises in care quality. Surgeons, administrators, and policymakers must take proactive measures to address these issues and ensure the ongoing accessibility and quality of breast surgery.

Contemporary Analysis of Reexcision and Conversion to Mastectomy Rates and Associated Healthcare Costs for Women Undergoing Breast-Conserving Surgery.

PURPOSE: This study was designed to provide a comprehensive and up-to-date understanding of population-level reoperation rates and incremental healthcare costs associated with reoperation for patients who underwent breast-conserving surgery (BCS). METHODS: This is a retrospective cohort study using Merative™ MarketScan® commercial insurance data and Medicare 5% fee-for-service claims data. The study included females aged 18-64 years in the commercial cohort and females aged 18 years and older in the Medicare cohort, who underwent initial BCS for breast cancer in 2017-2019. Reoperation rates within a year of the initial BCS and overall 1-year healthcare costs stratified by reoperation status were measured. RESULTS: The commercial cohort included 17,129 women with a median age of 55 (interquartile range [IQR] 49-59) years, and the Medicare cohort included 6977 women with a median age of 73 (IQR 69-78) years. Overall reoperation rates were 21.1% (95% confidence interval [CI] 20.5-21.8%) for the commercial cohort and 14.9% (95% CI 14.1-15.7%) for the Medicare cohort. In both cohorts, reoperation rates decreased as age increased, and conversion to mastectomy was more prevalent among younger women in the commercial cohort. The mean healthcare costs during 1 year of follow-up from the initial BCS were $95,165 for the commercial cohort and $36,313 for the Medicare cohort. Reoperations were associated with 24% higher costs in both the commercial and Medicare cohorts, which translated into $21,607 and $8559 incremental costs, respectively. CONCLUSIONS: The rates of reoperation after BCS have remained high and have contributed to increased healthcare costs. Continuing efforts to reduce reoperation need more attention.

Increases in Medicare Spending and Use after Private Equity Acquisition of Retina Practices.

PURPOSE: Private equity (PE) firms increasingly are acquiring physician practices in the United States, particularly within procedural-based specialties such as ophthalmology including retina. To date, the potential impact of ophthalmology practice acquisitions remains unknown. We evaluated the association between PE acquisition and Medicare spending and use for common retina services. DESIGN: Retrospective difference-in-differences analysis using the 20% Medicare fee-for-service claims dataset from January 1, 2015, through December 31, 2019. PARTICIPANTS: Eighty-two practices acquired by PE during the study period and matched control practices. METHODS: We used novel data on PE acquisitions of retina practices linked to the 20% sample Medicare claims data. Retina practices acquired by PE between 2016 and 2019 were matched to up to 3 non-PE (control) practices based on characteristics before acquisition. Private equity-acquired practices were compared with matched control practices through 6 quarters after acquisition using a difference-in-differences event study design. Data analyses were performed between August 2022 and April 2023. MAIN OUTCOME MEASURES: Medicare spending and use of common retina services. RESULTS: Relative to control practices, PE-acquired retina practices increased the use of higher-priced anti-vascular endothelial growth factor (VEGF) agents including aflibercept, which differentially increased by 6.5 injections (95% confidence interval, 0.4-12.5; P = 0.03) per practice-quarter, or 22% from baseline. As a result, Medicare spending on aflibercept differentially increased by $13 028 per practice-quarter, or 21%. No statistically significant differences were found in use or spending for evaluation and management visits or diagnostic imaging. CONCLUSIONS: Private equity acquisition of retina practices are associated with modest increases in the use of higher-priced anti-VEGF drugs like aflibercept, leading to higher Medicare spending. This finding highlights the need to monitor the influence of PE firms' financial incentives over clinician decision-making and the appropriateness of care, which could be swayed by strong economic incentives. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Medicare-mandated shared decision making for left atrial appendage closure in clinical practice.

INTRODUCTION: The Centers for Medicare & Medicaid Services (CMS) required a shared decision-making (SDM) interaction, with an "independent" physician, before left atrial appendage closure (LAAC). The purpose of this study is to better understand how this requirement is implemented in clinical practice. METHODS: We surveyed LAAC-performing centers. The characteristics of respondent and nonrespondent hospitals were compared using the CMS Provider of Services File for 2017. RESULTS: We received 86 responses out of 269 surveys mailed (32%). Respondent and nonrespondent hospital affiliations were similar: mean hospital size 525 beds, 15% for-profit, and 34% teaching hospitals. Thirty-four respondents (39.5%) stated that the implanting physician conducts some or all of the SDM interactions. The percentage of patients who decide not to undergo LAAC after the SDM interaction was estimated at 8.1%. Out of 72 responses to an open-ended question about the benefit of the SDM interaction, 44 (61%) described the requirement in negative terms, of which most felt the requirement was burdensome for patients and providers. Only 28 respondents (39%) described the requirement in positive or mixed terms. CONCLUSION: In violation of the letter of the CMS policy for LAAC, implanting physicians perform the SDM interaction at nearly 40% of responding hospitals. Most respondents felt the SDM requirement was burdensome for patients. More detailed guidance from CMS on how to comply with the policy may result in better alignment between the intent of the policy and how it is implemented.