Long-term cardiovascular disease outcomes in non-hospitalized medicare beneficiaries diagnosed with COVID-19: Population-based matched cohort study.

BACKGROUND: SARS-CoV2, the virus that causes coronavirus disease 2019 (COVID-19), can affect multiple human organs structurally and functionally, including the cardiovascular system and brain. Many studies focused on the acute effects of COVID-19 on risk of cardiovascular disease (CVD) and stroke especially among hospitalized patients with limited follow-up time. This study examined long-term mortality, hospitalization, CVD and stroke outcomes after non-hospitalized COVID-19 among Medicare fee-for-service (FFS) beneficiaries in the United States. METHODS: This retrospective matched cohort study included 944,371 FFS beneficiaries aged ≥66 years diagnosed with non-hospitalized COVID-19 from April 1, 2020, to April 30, 2021, and followed-up to May 31, 2022, and 944,371 propensity score matched FFS beneficiaries without COVID-19. Primary outcomes were all-cause mortality, hospitalization, and incidence of 15 CVD and stroke. Because most outcomes violated the proportional hazards assumption, we used restricted cubic splines to model non-proportional hazards in Cox models and presented time-varying hazard ratios (HRs) and Bonferroni corrected 95% confidence intervals (CI). RESULTS: The mean age was 75.3 years; 58.0% women and 82.6% non-Hispanic White. The median follow-up was 18.5 months (interquartile range 16.5 to 20.5). COVID-19 showed initial stronger effects on all-cause mortality, hospitalization and 12 incident CVD outcomes with adjusted HRs in 0-3 months ranging from 1.05 (95% CI 1.01-1.09) for mortality to 2.55 (2.26-2.87) for pulmonary embolism. The effects of COVID-19 on outcomes reduced significantly after 3-month follow-up. Risk of mortality, acute myocardial infarction, cardiomyopathy, deep vein thrombosis, and pulmonary embolism returned to baseline after 6-month follow-up. Patterns of initial stronger effects of COVID-19 were largely consistent across age groups, sex, and race/ethnicity. CONCLUSIONS: Our results showed a consistent time-varying effects of COVID-19 on mortality, hospitalization, and incident CVD among non-hospitalized COVID-19 survivors.

Is Electronic Information Exchange Associated With Lower 30-Day Readmission Charges Among Medicare Beneficiaries?

OBJECTIVE: Fragmented readmissions, when admission and readmission occur at different hospitals, are associated with increased charges compared with nonfragmented readmissions. We assessed if hospital participation in health information exchange (HIE) was associated with differences in total charges in fragmented readmissions. DATA SOURCE: Medicare Fee-for-Service Data, 2018. STUDY DESIGN: We used generalized linear models with hospital referral region and readmission month fixed effects to assess relationships between information sharing (same HIE, different HIEs, and no HIE available) and total charges of 30-day readmissions among fragmented readmissions; analyses were adjusted for patient-level clinical/demographic characteristics and hospital-level characteristics. DATA EXTRACTION METHODS: We included beneficiaries with a hospitalization for acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, syncope, urinary tract infection, dehydration, or behavioral issues with a 30-day readmission for any reason. PRINCIPAL FINDINGS: In all, 279,729 admission-readmission pairs were included, 27% of which were fragmented (n=75,438); average charges of fragmented readmissions were $64,897-$71,606. Compared with fragmented readmissions where no HIE was available, the average marginal effects of same-HIE and different-HIE admission-readmission pairs were -$2329.55 (95% CI: -7333.73, 2674.62) and -$3905.20 (95% CI: -7592.85, -307.54), respectively. While the average marginal effects of different-HIE pairs were lower than those for no-HIE fragmented readmissions, the average marginal effects of same-HIE and different-HIE pairs were not significantly different from each other. CONCLUSIONS: There were no statistical differences in charges between fragmented readmissions to hospitals that share an HIE or that do not share an HIE compared with hospitals with no HIE available.

Telehealth Expansion and Medicare Beneficiaries' Care Quality and Access.

Importance: Understanding the association of telehealth use with health care outcomes is fundamental to determining whether telehealth waivers implemented during the COVID-19 public health emergency should be made permanent. The current literature has yielded inconclusive findings owing to its focus on select states, practices, or health care systems. Objective: To estimate the association of telehealth use with outcomes for all Medicare fee-for-service (FFS) beneficiaries by comparing hospital service areas (HSAs) with different levels of telehealth use. Design, Setting, and Participants: This US population-based, retrospective cohort study was conducted from July 2022 to April 2023. Participants included Medicare claims of beneficiaries attributed to HSAs with FFS enrollment in Parts A and B. Exposures: Low, medium, or high tercile of telehealth use created by ranking HSAs according to the number of telehealth visits per 1000 beneficiaries. Main Outcomes and Measures: The primary outcomes were quality (ambulatory care-sensitive [ACS] hospitalizations and emergency department [ED] visits per 1000 FFS beneficiaries), access to care (clinician encounters per FFS beneficiary), and cost (total cost of care for Part A and/or B services per FFS Medicare beneficiary) determined with a difference-in-difference analysis. Results: In this cohort study of claims from approximately 30 million Medicare beneficiaries (mean [SD] age in 2019, 71.04 [1.67] years; mean [SD] percentage female in 2019, 53.83% [2.14%]) within 3436 HSAs, between the second half of 2019 and the second half of 2021, mean ACS hospitalizations and ED visits declined sharply, mean clinician encounters per beneficiary declined slightly, and mean total cost of care per beneficiary per semester increased slightly. Compared with the low group, the high group had more ACS hospitalizations (1.63 additional hospitalizations per 1000 beneficiaries; 95% CI, 1.03-2.22 hospitalizations), more clinician encounters (0.30 additional encounters per beneficiary per semester; 95% CI, 0.23-0.38 encounters), and higher total cost of care ($164.99 higher cost per beneficiary per semester; 95% CI, $101.03-$228.96). There was no statistically significant difference in ACS ED visits between the low and high groups. Conclusions and Relevance: In this cohort study of Medicare beneficiaries across all 3436 HSAs, high levels of telehealth use were associated with more clinician encounters, more ACS hospitalizations, and higher total health care costs. COVID-19 cases were still high during the period of study, which suggests that these findings partially reflect a higher capacity for providing health services in HSAs with higher telehealth intensity than other HSAs.

Time is money: general practitioners' reflections on the fee-for-service system.

BACKGROUND: Fee-for-service is a common payment model for remunerating general practitioners (GPs) in OECD countries. In Norway, GPs earn two-thirds of their income through fee-for-service, which is determined by the number of consultations and procedures they register as fees. In general, fee-for-service incentivises many and short consultations and is associated with high service provision. GPs act as gatekeepers for various treatments and interventions, such as addictive drugs, antibiotics, referrals, and sickness certification. This study aims to explore GPs' reflections on and perceptions of the fee-for-service system, with a specific focus on its potential impact on gatekeeping decisions. METHODS: We conducted six focus group interviews with 33 GPs in 2022 in Norway. We analysed the data using thematic analysis. RESULTS: We identified three main themes related to GPs' reflections and perceptions of the fee-for-service system. First, the participants were aware of the profitability of different fees and described potential strategies to increase their income, such as having shorter consultations or performing routine procedures on all patients. Second, the participants acknowledged that the fees might influence GP behaviour. Two perspectives on the fees were present in the discussions: fees as incentives and fees as compensation. The participants reported that financial incentives were not directly decisive in gatekeeping decisions, but that rejecting requests required substantially more time compared to granting them. Consequently, time constraints may contribute to GPs' decisions to grant patient requests even when the requests are deemed unreasonable. Last, the participants reported challenges with remembering and interpreting fees, especially complex fees. CONCLUSIONS: GPs are aware of the profitability within the fee-for-service system, believe that fee-for-service may influence their decision-making, and face challenges with remembering and interpreting certain fees. Furthermore, the fee-for-service system can potentially affect GPs' gatekeeping decisions by incentivising shorter consultations, which may result in increased consultations with inadequate time to reject unnecessary treatments.

Medicare in the 21 st Century: Understanding the Program to Promote Improvements.

Medicare is the largest single purchaser of health care in the United States and currently helps to pay medical expenses for approximately one-fifth of the US population. The impetus for Medicare to move away from fee-for-service and toward value-based care payments reflects the need to incentivize and improve healthcare quality while containing increasing costs. This primer provides a detailed overview of several interrelated topics for an improved understanding of the Medicare program for orthopaedic surgeons, other clinicians, healthcare administrators, policymakers, and business leaders. An improved understanding may stimulate additional ideas for successful program advancements.

US Medicare Hospice and Palliative Medicine Physician Workforce and Service Delivery in 2008-2020.

CONTEXT: Despite clinical benefits of early palliative care, little is known about Medicare physician workforce specialized in Hospice and Palliative Medicine (HPM) and their service delivery settings. OBJECTIVES: To examine changes in Medicare HPM physician workforce and their service delivery settings in 2008-2020. METHODS: Using the Medicare Data on Provider Practice and Specialty from 2008 to 2020, we identified 2375 unique Medicare Fee-For-Service (FFS) physicians (15,565 physician-year observations) with self-reported specialty in "Palliative Care and Hospice". We examined changes in the annual number of HPM physicians, average number of Medicare services overall and by care setting, total number of Medicare FFS beneficiaries, and total Medicare allowed charges billed by the physician. RESULTS: The number of Medicare HPM physicians increased 2.32 times from 771 in 2008 to 1790 in 2020. The percent of HPM physicians practicing in metropolitan areas increased from 90% to 96% in 2008-2020. Faster growth was also observed in female physicians (52.4% to 60.1%). Between 2008 and 2020, we observed decreased average annual Medicare FFS beneficiaries (170 to 123), number of FFS services (467 to 335), and Medicare allowed charges billed by the physician ($47,230 to $37,323). The share of palliative care delivered in inpatient settings increased from 47% to 68% in 2008-2020; whereas the share of services delivered in outpatient settings decreased from 37% to 19%. CONCLUSION: Despite growth in Medicare HPM physician workforce, access is disproportionately concentrated in metropolitan and inpatient settings. This may limit receipt of early outpatient specialized palliative care, especially in nonmetropolitan areas.

The Rise and Risks of Medicare Advantage "Affinity Plans".

This Viewpoint discusses the proliferation of Medicare Advantage plans targeting specific groups of individuals and whether these plans will improve quality of care for beneficiaries.

Ambulatory Care Fragmentation and Total Health Care Costs.

BACKGROUND: The magnitude of the relationship between ambulatory care fragmentation and subsequent total health care costs is unclear. OBJECTIVE: To determine the association between ambulatory care fragmentation and total health care costs. RESEARCH DESIGN: Longitudinal analysis of 15 years of data (2004-2018) from the national Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, linked to Medicare fee-for-service claims. SUBJECTS: A total of 13,680 Medicare beneficiaries who are 65 years and older. MEASURES: We measured ambulatory care fragmentation in each calendar year, defining high fragmentation as a reversed Bice-Boxerman Index ≥0.85 and low as <0.85. We used generalized linear models to determine the association between ambulatory care fragmentation in 1 year and total Medicare expenditures (costs) in the following year, adjusting for baseline demographic and clinical characteristics, a time-varying comorbidity index, and accounting for geographic variation in reimbursement and inflation. RESULTS: The average participant was 70.9 years old; approximately half (53%) were women. One-fourth (26%) of participants had high fragmentation in the first year of observation. Those participants had a median of 9 visits to 6 providers, with the most frequently seen provider accounting for 29% of visits. By contrast, participants with low fragmentation had a median of 8 visits to 3 providers, with the most frequently seen provider accounting for 50% of visits. High fragmentation was associated with $1085 more in total adjusted costs per person per year (95% CI $713 to $1457) than low fragmentation. CONCLUSIONS: Highly fragmented ambulatory care in 1 year is independently associated with higher total costs the following year.

Increased Medicare payments for homeless patients provide new opportunities for care.

A final rule has been issued that increases Medicare fee-for-service payment rates for individuals experiencing homelessness. This rule provides new, incentivized opportunities to better screen for and document homelessness among patients in acute inpatient settings. With greater identification of homeless patients, there may be increased needs to develop comprehensive discharge plans that involve coordination with housing providers and social service agencies to prevent the high repeated use of acute care found among many homeless patients.

Modifier 22 Use in Fee-for-Service Medicare.

Importance: Modifier 22 is a mechanism designed for surgeons to identify cases that are more complex than their Current Procedural Terminology code accounts for. However, empirical studies of the use and efficacy of modifier 22 are lacking. Objective: To assess the use of modifier 22 in common surgical procedures and the association of use with compensation. Design, Setting, and Participants: This was a cross-sectional analysis of the 2021 Physician/Supplier Procedure Summary Limited Data Set including all Part B carrier and durable medical equipment fee-for-service claims. Claims for 10 common surgical procedures were evaluated, including mastectomy, total hip arthroplasty, total knee arthroplasty, coronary artery bypass grafting, laparoscopic right colectomy, laparoscopic appendectomy, laparoscopic cholecystectomy, kidney transplant, laparoscopic total abdominal hysterectomy and bilateral salpingo-oophorectomy, and lumbar laminectomy. Data were analyzed from August to November 2023. Main Outcomes and Measures: Rate of modifier 22 use, rate of claim denial, mean charges, mean payment for accepted claims, and mean payment for all claims. Results: The sample included 625 316 surgical procedures performed in calendar year 2021. The proportion of modifier 22 coding for a procedure ranged from 5725 of 251 521 (2.3%) in total knee arthroplasty to 1566 of 18 459 (8.5%) in laparoscopic total abdominal hysterectomy and bilateral salpingo-oophorectomy. Submitted charges were 11.1% (95% CI, 9.1-13.2) to 22.8% (95% CI, 21.3-24.3) higher for claims with modifier 22, depending on the procedure. Among accepted claims, those with modifier 22 had increased payments ranging from 0.8% (95% CI, 0.7-1.0) to 4.8% (95% CI, 4.5-5.1). However, claims with modifier 22 were more likely to be denied (7.4% vs 4.0%; P < .001). As a result, overall mean payments were mixed, with 4 procedures having lower payments when modifier 22 was appended, 4 procedures having higher payments with modifier 22, and 2 procedures with no difference. The largest increase in mean payment for modifier 22 claims was for kidney transplant with an increased payment of $71.46 (95% CI, 55.32-87.60), which translates to a relative increase of 3.4% (95% CI, 2.9-4.6). Conclusions and Relevance: The findings in this study suggest that modifier 22 had little to no financial benefit when appended to claims for a diverse panel of surgical procedures. In the current system, surgeons have little reason to request modifier 22, and no mechanisms currently exist for surgeons to recoup payment for difficult operations.

A sampling strategy for longitudinal and cross-sectional analyses using a large national claims database.

Importance: The United States (US) Medicare claims files are valuable sources of national healthcare utilization data with over 45 million beneficiaries each year. Due to their massive sizes and costs involved in obtaining the data, a method of randomly drawing a representative sample for retrospective cohort studies with multi-year follow-up is not well-documented. Objective: To present a method to construct longitudinal patient samples from Medicare claims files that are representative of Medicare populations each year. Design: Retrospective cohort and cross-sectional designs. Participants: US Medicare beneficiaries with diabetes over a 10-year period. Methods: Medicare Master Beneficiary Summary Files were used to identify eligible patients for each year in over a 10-year period. We targeted a sample of ~900,000 patients per year. The first year's sample is stratified by county and race/ethnicity (white vs. minority), and targeted at least 250 patients in each stratum with the remaining sample allocated proportional to county population size with oversampling of minorities. Patients who were alive, did not move between counties, and stayed enrolled in Medicare fee-for-service (FFS) were retained in the sample for subsequent years. Non-retained patients (those who died or were dropped from Medicare) were replaced with a sample of patients in their first year of Medicare FFS eligibility or patients who moved into a sampled county during the previous year. Results: The resulting sample contains an average of 899,266 ± 408 patients each year over the 10-year study period and closely matches population demographics and chronic conditions. For all years in the sample, the weighted average sample age and the population average age differ by <0.01 years; the proportion white is within 0.01%; and the proportion female is within 0.08%. Rates of 21 comorbidities estimated from the samples for all 10 years were within 0.12% of the population rates. Longitudinal cohorts based on samples also closely resembled the cohorts based on populations remaining after 5- and 10-year follow-up. Conclusions and relevance: This sampling strategy can be easily adapted to other projects that require random samples of Medicare beneficiaries or other national claims files for longitudinal follow-up with possible oversampling of sub-populations.

Are disparities in mental health care for Medicaid beneficiaries lower in managed care?

BACKGROUND: There are large and persistent racial and ethnic disparities in the use of mental health care in the United States. Medicaid managed care plans have the potential to reduce racial and ethnic disparities in use of mental health care through monitoring of need and active management of use of services across the populations they cover. This study compares racial and ethnic disparities among Medicaid beneficiaries in managed care with those not in managed care. METHODS: We compared Medicaid beneficiaries enrolled health maintenance organizations (HMOs) with those in fee-for-service (FFS) using data from the 2007-2015 Medical Expenditure Panel Survey (N = 26,113). We specified two-part propensity score adjusted models to estimate differences in mental health related emergency department visits, hospital stays, prescription fills, and outpatient visits overall and by race/ethnicity. RESULTS: HMO enrollment was associated with lower odds of having a mental health prescription (OR = 0.86, 95 % CI 0.78-0.96) or outpatient visit (OR = 0.82 95 % CI 0.73-0.92). These differences were similar across racial and ethnic groups or larger among Non-Hispanic Black and Hispanic beneficiaries than among Non-Hispanic White beneficiaries. CONCLUSIONS: Medicaid managed care has not improved the inequitable allocation of mental health care across racial and ethnic groups. Explicit attention to monitoring of racial and ethnic differences in use of mental health care in Medicaid managed care is warranted. IMPLICATIONS: Improvement in racial and ethnic disparities in mental health care in Medicaid manage care is unlikely to occur without targeted accountability mechanisms, such as required reporting or other contracting requirements.

Impact of the COVID-19 Pandemic on Medical Expenditures Among Medicare Fee-for-Service Beneficiaries Aged ≥67 Years With Diabetes.

OBJECTIVE: To compare total and out-of-pocket (OOP) medical expenditures between pre-COVID-19 (March 2019 to February 2020) and COVID-19 (March 2020 to February 2022) periods among Medicare beneficiaries with diabetes. RESEARCH DESIGN AND METHODS: Data were from 100% Medicare fee-for-service claims. Diabetes was identified using ICD-10 codes. We calculated quarterly total and OOP medical expenditures at the population and per capita level in total and by service type. Per capita expenditures were calculated by dividing the population expenditure by the number of beneficiaries with diabetes in the same quarter. Changes in expenditures were calculated as the differences in the same quarters between the prepandemic and pandemic years. RESULTS: Population total expenditure fell to $33.6 billion in the 1st quarter of the pandemic from $41.7 billion in the same prepandemic quarter; it then bounced back to $36.8 billion by the 4th quarter of the 2nd pandemic year. The per capita total expenditure fell to $5,356 in the 1st quarter of the pandemic from $6,500 in the same prepandemic quarter. It then increased to $6,096 by the 4th quarter of the 2nd pandemic year, surpassing the same quarter in the prepandemic year ($5,982). Both population and per capita OOP expenditures during the pandemic period were lower than the prepandemic period. Changes in per capita expenditure between the pre-COVID-19 and COVID-19 periods by service type varied. CONCLUSIONS: COVID-19 had a significant impact on both total and per capita medical expenditures among Medicare beneficiaries with diabetes. The COVID-19 pandemic was associated with lower OOP expenditures.

Value-Based Health Care in Perioperative Medicine: Process Maps and Costing to Determine Best Practices.

Perioperative care in the United States is largely based on current fee-for-service models. Fee-for-service models are not based on the true cost of services provided, charges do not equal costs, and reimbursement varies based on insurer. Value-based health care is defined as patient-centered outcomes over cost of providing these services. Process mapping and time-driven activity-based costing can be used to define actual cost of services provided. Outcomes after discharge can be measured, so that the overall value of care provided can be assessed and improved based on the outcomes and costs identified.

The consequences of firm scope and scale on patient access to healthcare.

OBJECTIVE: The aim was to quantify changes in the market structure of primary care physicians and examine its relationship with access to care. DATA SOURCES AND STUDY SETTING: We created measures of market structure from a 5% sample of Medicare fee-for-service claims and examined access to care using nationally representative data from the Medical Expenditure Panel Survey (MEPS). Our study spanned from 2008 to 2019. STUDY DESIGN: We used a linear probability model to estimate the relationship between access to care and two measures of market structure: concentration, measured by the Herfindahl-Hirschman Index (HHI), and vertical integration, measured by the market share of multispecialty firms. Our model controlled for year and ZIP code fixed effects, respondents' demographics and health status, and other measures of market structure. DATA COLLECTION/EXTRACTION METHODS: All adult respondents in the MEPS were included. PRINCIPAL FINDINGS: The percentage of people living in concentrated ZIP codes (HHI above 1500) increased from 37% in 2008 to 53% in 2019. During the same period, the median market share of multispecialty firms rose from 30% to 48%. Respondents in highly concentrated ZIP codes (HHI over 2500) were 5.9 percentage points (95% CI: -1.4 to -10.4) less likely to report having access to immediate care than respondents in unconcentrated ZIP codes. The association was largest among Medicaid beneficiaries, a 17.3 percentage point reduction (95% CI: -5.1 to -29.4). When we applied a model that was robust to biases from treatments with staggered timing, the estimated association remained negative but was not statistically significant. We found no association between HHI and indicators for having a usual source of care and annual checkups. The multispecialty market share was negatively associated with checkups, but not other measures of access. CONCLUSIONS: Increases in concentration may reduce some types of access to healthcare. These effects appear most pronounced among Medicaid beneficiaries.

The Impact of Biosimilar Use on Total Cost of Care and Provider Financial Performance in the Medicare Oncology Care Model: A Population-Based Simulation Study.

INTRODUCTION: Payment for oncology care is increasingly moving from fee-for-service to value-based payment (VBP). VBPs are agreements in which providers are held accountable for total cost of care (TCOC) through risk-sharing arrangements with payers that tie reimbursement levels to TCOC benchmarks. Oncology biosimilars may play an important role in managing financial risk in the VBPs like Medicare's Oncology Care Model (OCM), but there has been limited research in this area. The objective of this study is to estimate the impact of biosimilar adoption on TCOC and oncology provider financial performance under the terms of the Medicare OCM. METHODS: We conducted a population-based simulation study using the Medicare Limited Data Set (LDS) and the methodology of Medicare's OCM. The primary outcome was the simulated average change in TCOC per 6-month episode of care attributable to use of biosimilars as an alternative to reference products. The study population consisted of episodes of care in 2020 and using the reference product or corresponding biosimilar for bevacizumab, rituximab, trastuzumab, epoetin alfa, filgrastim, or pegfilgrastim. TCOC was calculated for each episode of care with use of reference products only and compared with TCOC with corresponding biosimilars. The simulation calculated TCOC outcomes in cohorts of 100 episodes sampled from the Medicare LDS study population using a Monte Carlo simulation with 10,000 iterations. RESULTS: Among the total of 8281 6-month oncology care episodes identified in the study period (initiating January 2020 to July 2020) in Medicare claims, 1586 (19.2%) episodes met OCM and study criteria and were included. Applying the simulation methods to these observed episodes, biosimilar substitution reduced mean TCOC per episode by $1193 (95% CI $583-1840). The cost reduction from biosimilars represented 2.4% of the average TCOC benchmark and led to a 15% reduction in the risk of providers needing to pay recoupments to Medicare for exceeding TCOC benchmarks. CONCLUSIONS: On the basis of our simulation study using observed Medicare claims and OCM criteria, we found that biosimilar substitution for reference products can significantly lower episode TCOC and improve provider financial performance under the terms of the largest value-based payment model implemented to date.

Spatiotemporal Patterns of Hospitalizations Among Older Adults With Co-Presence of Cancer and Dementia in US Counties: 2013-2018.

We assessed the spatiotemporal patterns of hospitalization with comorbid cancer and dementia. Using the 2013-2018 inpatient claims data for Medicare fee-for-service (FFS) beneficiaries, we calculated hospitalization rates by dividing the total admissions from individuals with the co-presence of a major cancer (breast, prostate, lung, and colorectal) and dementia diagnoses with the total counts of FFS beneficiaries aged 65 or older. We identified 22 hotspots with high hospitalization rates that showed heterogeneous spatial and temporal utilization patterns. The odds of a county being a hotspot increased significantly with the county-level percentage of dual Medicare-Medicaid beneficiaries (aOR 1.05; 95% CI: 1.04-1.07) and the prevalence of cancer (aOR 1.73; 95% CI: 1.59-1.89), while decreased significantly with increasing degree of rurality (aOR .82; 95% CI: .79-.85) and decreased yearly over time (aOR .72; 95% CI: .68-.75). The identified hotspots and factors at the county-level may help understand healthcare utilization patterns and assess resource allocation for this unique patient group.

How to Exercise Integrity in Medical Billing: Don't Distort Prices, Don't Free-Ride on Other Physicians.

This paper proposes that billing gamesmanship occurs when physicians free-ride on the billing practices of other physicians. Gamesmanship is non-universalizable and does not exercise a competitive advantage; consequently, it distorts prices and allocates resources inefficiently. This explains why gamesmanship is wrong. This explanation differs from the recent proposal of Heath (2020. Ethical issues in physician billing under fee-for-service plans. J. Med. Philos. 45(1):86-104) that gamesmanship is wrong because of specific features of health care and of health insurance. These features are aggravating factors but do not explain gamesmanship's primary wrong-making feature, which is to cause diffuse harm not traceable to any particular patient or insurer. This conclusion has important consequences for how medical schools and professional organizations encourage integrity in billing. To avoid free-riding, physicians should ask themselves, "could all physicians bill this way?" and if not, "does the patient benefit from the distinctive service I am providing under this code?" If both answers are "no," physicians should refrain from the billing practice in question.

Primary care services and emergency department visits in blended fee-for-service and blended capitation models: evidence from Ontario, Canada.

INTRODUCTION: It is well-known that the way physicians are remunerated can affect delivery of health care services to the population. Fee-for-service (FFS) generally leads to oversupply of services, while capitation leads to undersupply of services. However, little evidence exists on the link between remuneration and emergency department (ED) visits. We fill this gap using two popular blended models introduced in Ontario, Canada: the Family Health Group (FHG), an enhanced/blended FFS model, and Family Health Organization (FHO), a blended capitation model. We compare primary care services and rates of emergency department ED visits between these two models. We also evaluate whether these outcomes vary by regular- and after-hours, and patient morbidity status. METHODS: Physicians practicing in an FHG or FHO between April 2012 and March 2017 and their enrolled adult patients were included for analyses. The covariate-balancing propensity score weighting method was used to remove the influence of observable confounding and negative-binomial and linear regression models were used to evaluate the rates of primary care services, ED visits, and the dollar value of primary care services delivered between FHGs and FHOs. Visits were stratified as regular- and after-hours. Patients were stratified into three morbidity groups: non-morbid, single-morbid, and multimorbid (two or more chronic conditions). RESULTS: 6184 physicians and their patients were available for analysis. Compared to FHG physicians, FHO physicians delivered 14% (95% CI 13%, 15%) fewer primary care services per patient per year, with 27% fewer services during after-hours (95% CI 25%, 29%). Patients enrolled to FHO physicians made 27% more less-urgent (95% CI 23%, 31%) and 10% more urgent (95% CI 7%, 13%) ED visits per patient per year, with no difference in very-urgent ED visits. Differences in the pattern of ED visits were similar during regular- and after-hours. Although FHO physicians provided fewer services, multimorbid patients in FHOs made fewer very-urgent and urgent ED visits, with no difference in less-urgent ED visits. CONCLUSION: Primary care physicians practicing in Ontario's blended capitation model provide fewer primary care services compared to those practicing in a blended FFS model. Although the overall rate of ED visits was higher among patients enrolled to FHO physicians, multimorbid patients of FHO physicians make fewer urgent and very-urgent ED visits.

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.