Surgeon Sex and Health Care Costs for Patients Undergoing Common Surgical Procedures.

Importance: Prior research has shown differences in postoperative outcomes for patients treated by female and male surgeons. It is important to understand, from a health system and payer perspective, whether surgical health care costs differ according to the surgeon's sex. Objective: To examine the association between surgeon sex and health care costs among patients undergoing surgery. Design, Setting, and Participants: This population-based, retrospective cohort study included adult patients undergoing 1 of 25 common elective or emergent surgical procedures between January 1, 2007, and December 31, 2019, in Ontario, Canada. Analysis was performed from October 2022 to March 2023. Exposure: Surgeon sex. Main Outcome and Measure: The primary outcome was total health care costs assessed 1 year following surgery. Secondarily, total health care costs at 30 and 90 days, as well as specific cost categories, were assessed. Generalized estimating equations were used with procedure-level clustering to compare costs between patients undergoing equivalent surgeries performed by female and male surgeons, with further adjustment for patient-, surgeon-, anesthesiologist-, hospital-, and procedure-level covariates. Results: Among 1 165 711 included patients, 151 054 were treated by a female surgeon and 1 014 657 were treated by a male surgeon. Analyzed at the procedure-specific level and accounting for patient-, surgeon-, anesthesiologist-, and hospital-level covariates, 1-year total health care costs were higher for patients treated by male surgeons ($24 882; 95% CI, $20 780-$29 794) than female surgeons ($18 517; 95% CI, $16 080-$21 324) (adjusted absolute difference, $6365; 95% CI, $3491-9238; adjusted relative risk, 1.10; 95% CI, 1.05-1.14). Similar patterns were observed at 30 days (adjusted absolute difference, $3115; 95% CI, $1682-$4548) and 90 days (adjusted absolute difference, $4228; 95% CI, $2255-$6202). Conclusions and Relevance: This analysis found lower 30-day, 90-day, and 1-year health care costs for patients treated by female surgeons compared with those treated by male surgeons. These data further underscore the importance of creating inclusive policies and environments supportive of women surgeons to improve recruitment and retention of a more diverse and representative workforce.

Unsolicited Patient Complaints Following the 21st Century Cures Act Information-Blocking Rule.

Importance: The 21st Century Cures Act includes an information-blocking rule (IBR) that requires health systems to provide patients with immediate access to their health information in the electronic medical record upon request. Patients accessing their health information before they receive an explanation from their health care team may experience confusion and may be more likely to share unsolicited patient complaints (UPCs) with their health care organization. Objective: To evaluate the quantity of UPCs about physicians before and after IBR implementation and to identify themes in UPCs that may identify patient confusion, fear, or anger related to the release of information. Design, Setting, and Participants: This retrospective cohort study was conducted with an interrupted time-series analysis of UPCs spanning January 1, 2020, to June 30, 2022. The data were obtained from a single academic medical center, Vanderbilt University Medical Center, at which the IBR was implemented on January 20, 2021. Data analysis was performed from January 11 to July 15, 2023. Exposure: Implementation of the IBR on January 20, 2021. Main Outcomes and Measures: The primary outcome was the monthly rate of UPCs before and after IBR implementation. A qualitative analysis was performed for UPCs received after IBR implementation. The Wilcoxon rank-sum test was used to compare monthly complaints between the pre- and post-IBR groups. The Pearson χ2 test was used to compare proportions of complaints by UPC category between time periods. Results: The medical center received 8495 UPCs during the study period: 3022 over 12 months before and 5473 over 18 months after institutional IBR implementation. There was no difference in the monthly proportions of UPCs per 1000 patient encounters before (median, 0.81 [IQR, 0.75-0.88]) and after (median, 0.83 [IQR, 0.77-0.89]) IBR implementation (difference in medians, -0.02 [95% CI, -0.12 to 0.07]; P =.86). Segmented regression analysis revealed no difference in monthly UPCs (ß [SE], 0.03 [0.09]; P =.72). Conclusions and Relevance: In this cohort study, implementation of the Cures Act IBR was not associated with an increase in monthly rates of UPCs. These findings suggest that review of UPCs identified as IBR-specific complaints may allow clinicians and organizations to prepare patients that their test and procedure results may be available before clinicians are able to review them and respond.

Prevalence of Buprenorphine Providers Requiring Cash Payment From Insured Women Seeking Opioid Use Disorder Treatment.

CONTEXT: Medications for opioid use disorder (OUD) are known to be effective, especially in reducing the risk of overdose death. Yet, many individuals suffering from OUD are not receiving treatment. One potential barrier can be the patient's ability to access providers through their insurance plans. DATA AND METHODS: We used an audit (simulated patient) study methodology to examine appointment-granting behavior by buprenorphine prescribers in 10 different US states. Trained callers posed as women with OUD and were randomly assigned Medicaid or private insurance status. Callers request an OUD treatment appointment and then asked whether they would be able to use their insurance to cover the cost of care, or alternatively, whether they would be required to pay fully out-of-pocket. FINDINGS: We found that Medicaid and privately insured women were often asked to pay cash for OUD treatment--40% of the time over the full study sample. Such buprenorphine provider requests happened more than 60% of the time in some states. Areas with more providers or with more generous provider payments were not obviously more willing to accept the patient's insurance benefits for OUD treatment. Rural providers were less likely to require payment in cash in order for the woman to receive care. CONCLUSIONS: State-to-state variation was the most striking pattern in our field experiment data. The wide variation suggests that women of reproductive age with OUD in certain states face even greater challenges to treatment access than perhaps previously thought; however, it also reveals that some states have found ways to curtail this problem. Our findings encourage greater attention to this public health challenge and possibly opportunities for shared learning across states.

Physician patient sharing relationships within insurance plan networks.

OBJECTIVE: To quantify shared patient relationships between primary care physicians (PCPs) and cardiologists and oncologists and the degree to which those relationships were captured within insurance networks. DATA SOURCES: Secondary analysis of Vericred data on physician networks, CareSet data on physicians' shared Medicare patients, and insurance plan attributes from Health Insurance Compare. Data validation exercises used data from Physician Compare and IQVIA. STUDY DESIGN: Cross-sectional study of the PCP-to-specialist in-network shared patient percentage (primary outcome). We also categorized networks by insurance market segment (Medicare Advantage [MA], Medicaid managed care, small-group or individually purchased), insurance plan type, and network breadth. DATA EXTRACTION: We analyzed data on 219,982 PCPs, 29,400 cardiologists, and 22,745 oncologists who, in 2021, accepted MA (n = 941 networks), Medicaid managed care (n = 293), and individually-purchased (n = 332) and small-group (n = 501) plans. PRINCIPAL FINDINGS: Networks captured, on average, 64.6% of PCP-cardiology shared patient ties, and 61.8% of PCP-oncologist ties. Less than half of in-network ties (44.5% and 38.9%, respectively) were among physicians with a common organizational affiliation. After adjustment for network breadth, we found no evidence of differences in the shared patient percentage across insurance market segments or networks of different types (p-value >0.05 for all comparisons). An exception was among national versus local and regional networks, where we found that national plans captured fewer shared patient ties, particularly among the narrowest networks (58.4% for national networksvs. 64.7% for local and regional networks for PCP-cardiology). CONCLUSIONS: Given recent trends toward narrower networks, our findings underscore the importance of incorporating additional and nuanced measures of network composition to aid plan selection (for patients) and to guide regulatory oversight.

Traditional Medicare Episode-Related Spending on Postacute Care for Dual-Eligible and Medicare-Only Beneficiaries, 2009-2017.

Dual-eligible beneficiaries with Medicare and Medicaid coverage generally have greater utilization and spending levels than Medicare-only beneficiaries on postacute services, raising questions about how strategies to curb postacute spending will affect dual-eligible beneficiaries. We compared trends in postacute spending and use related to inpatient episodes at a population and episode level for dual-eligible and Medicare-only beneficiaries over the years 2009-2017. Although dual-eligible beneficiaries had consistently higher inpatient and postacute service use and spending than Medicare-only populations, both populations experienced similar declines in inpatient and postacute measures over time. Conditional on having an inpatient stay, most types of postacute service use increased regardless of dual-eligible status. These consistent patterns in episode-related postacute spending for Medicare-only and dual-eligible beneficiaries-decreased episode-related spending and use on a per beneficiary basis and increased use and spending on a per episode basis-suggest that changing patterns of care affect both populations.

Association of Race and Income with Incident Diagnosis of Alzheimer's Disease and Related Dementias among Black and White Older Adults.

To investigate how differences in income and education levels may contribute to disparities in incidence of Alzheimer's disease and related dementia (ADRD), we compared ADRD incidence in traditional Medicare claims for 11,132 Black and 7703 White participants aged 65 and over from a predominantly low-income cohort. We examined whether the relationship between ADRD incidence and race varied by income or education. Based on 2015 incident ADRD diagnoses, Black and White participants had unadjusted incidence rates of 26.5 and 23.2 cases per 1000 person-years, respectively (rate ratio 1.14, 95% CI 1.05-1.25). In multivariable Cox proportional hazard models, the relationship between race and incident ADRD diagnosis did not vary by education level (p-interaction = 0.748) but was modified by income level (p-interaction = 0.007), with higher ADRD incidence among Black participants observed only among higher income groups. These results highlight the importance of understanding how race and economic factors influence ADRD incidence and diagnosis rates.

Trends in and Factors Contributing to the Slowdown in Medicare Spending Growth, 2007-2018.

Importance: After decades of rapid increase, Medicare per-beneficiary spending growth was historically low in the period leading up to the passage of the Affordable Care Act. In the years immediately following the legislation, Medicare expenditure growth slowed even further. Objective: To evaluate factors contributing to the slowdown in Medicare per-beneficiary spending growth. Design, Setting, and Participants: In this cross-sectional study, expected spending growth for 2012 to 2015 and 2016 to 2018 was predicted holding payment rates and population characteristics constant. By contrasting predicted and actual spending growth during these periods, the contribution of population vs payment factors to the Medicare spending slowdown was determined. Analyses included all Medicare fee-for-service beneficiaries aged 65 years and older, ranging from 30 to 35 million beneficiaries annually between 2007 and 2018. Data analyses were conducted from January 2018 to August 2018 and updated with new data in June 2021. Main Outcomes and Measures: The main outcome included annual growth in total per-beneficiary spending. The roles of payment rate changes and differences in the Medicare population over time were considered, including demographic characteristics and numbers of chronic conditions. Results: Between 2008 to 2011 and 2012 to 2015, the adjusted annual Medicare Parts A and B per-beneficiary spending growth rate declined from 3.3% to -0.1%. From 2016 to 2018, the mean annual Medicare spending growth rate rose relative to the previous period but remained lower than in the baseline period at 1.7% per year. This slowdown extended across all sectors within Parts A and B, except for physician-administered drugs offered under Part B. Changes in payment rates (including sequestration measures) and beneficiary characteristics explained 44% of the difference in overall per-beneficiary spending growth between 2007 to 2011 and 2012 to 2015, and 63% between 2007 to 2011 and 2016 to 2018. Conclusions and Relevance: In this cross-sectional study of trends in spending growth per Medicare beneficiary aged 65 years or older, results suggested that Medicare payment policy, including sector-specific payment rate changes and sequestration, will be a critical determinant of whether the Medicare spending growth slowdown persists.

Access to In-Network Hospitals in Tennessee During the COVID-19 Pandemic.

This cross-sectional study assesses the daily percentage of floor and intensive care unit bed available at in-network hospitals for patients with COVID-19 in Tennessee.

An algorithm using administrative data to measure adverse childhood experiences (ADM-ACE).

OBJECTIVE: To develop an algorithm using administrative data to measure adverse childhood experiences (ADM-ACE) within routinely collected health insurance claims and enrollment data. DATA SOURCES: We used claims and enrollment data from Tennessee's Medicaid program (TennCare) in 2018. STUDY DESIGN: We studied five types of ACEs: maltreatment and peer violence, foster care and family disruption, maternal mental illness, maternal substance use disorder, and abuse of the mother. We used diagnosis and procedure codes, prescription drug fills, and enrollment files to develop the ADM-ACE, which we applied to measure the prevalence of ACEs and to examine prevalence by demographic characteristics among our sample of children in TennCare. We compared ADM-ACE prevalence to child welfare records and survey results from Tennessee. DATA COLLECTION/EXTRACTION METHODS: Our study sample included children aged 0-17 years who were linked to their mothers if also enrolled in TennCare in 2018 (N = 763,836 children). PRINCIPAL FINDINGS: Approximately 19.2% of children in TennCare had indicators for ADM-ACEs. The prevalence of ACEs was higher among children who were younger (p < 0.001), non-Hispanic white or black (compared to Hispanic) (p < 0.001), and children residing in rural versus urban counties (p < 0.001). The prevalence of maltreatment identified through the ADM-ACE (1.6%) falls between the percent of children in Tennessee who were reported to child welfare authorities and the percent for whom reports of maltreatment were substantiated. Comparison with survey reports from Tennessee parents suggests an advantage in measuring maternal mental illness with the ADM-ACE using health insurance claims data. CONCLUSIONS: The ADM-ACE can be applied to health encounter data to study and monitor the prevalence of certain ACEs, their association with health conditions, and the effects of policies on reducing exposure to ACEs or improving health outcomes for children with ACEs.

Medicaid prevalence and opioid use disorder treatment access disparities.

OBJECTIVE: To examine how variation in the size of the local Medicaid population moderates Medicaid-to-private treatment access differentials for women with opioid use disorder (OUD). DATA SOURCES: County-level information on total Medicaid enrollment combined with randomized field experiment data from 10 diverse states that used a simulated patient (audit) methodology to examine buprenorphine providers' appointment granting behavior. STUDY DESIGN: We used multiple regression modeling approaches to capture the moderating influence of Medicaid prevalence on differences in the likelihood of receiving an insurance-covered appointment between Medicaid and privately insured female patients. DATA EXTRACTION: Completed calls to buprenorphine treatment providers. PRINCIPAL FINDINGS: We find a 0.37 percentage point (p value <0.01) narrowing of the Medicaid-to-private access gap with each one percentage point increase in the local insured population on Medicaid. There is effectively no difference in the likelihood of being granted an insurance-covered appointment across the two payer groups in the top tercile of Medicaid penetration. CONCLUSIONS: When Medicaid is a common source of insurance within the local population, buprenorphine providers are much less likely to discriminate between Medicaid and privately insured prospective patients. Efforts to enhance equitable access across patient groups are perhaps best targeted where Medicaid prevalence is lower.

Disparities in receipt of medications for opioid use disorder among pregnant women.

Background: Medications for opioid use disorder (MOUD) improve outcomes for pregnant women and infants. Our primary aim was to examine disparities in maternal MOUD receipt by family sociodemographic characteristics. Methods: This retrospective cohort study included mother-infant dyads with Medicaid-covered deliveries in Tennessee from 2009 to 2016. First, we examined family sociodemographic characteristics - including race/ethnicity, rurality, mother's primary language and education level, and whether paternity was recorded in birth records - and newborn outcomes by type of maternal opioid use. Second, among pregnant women with OUD, we used logistic regression to measure disparities in receipt of MOUD by family sociodemographic characteristics including interactions between characteristics. Results: Our cohort from Medicaid-covered deliveries consisted of 314,965 mother-infant dyads, and 4.2 percent were exposed to opioids through maternal use. Among dyads with maternal OUD, MOUD receipt was associated with lower rates of preterm and very preterm birth. Logistic regression adjusted for family sociodemographic characteristics showed that pregnant women with OUD in rural versus urban areas (aOR: 0.66; 95% CI: 0.60-0.72) and who were aged ≥35 years versus ≤25 years (aOR: 0.75; 95% CI: 0.64-0.89) were less likely to have received MOUD. Families in which the mother's primary language was English (aOR: 2.47; 95% CI: 1.24-4.91) and paternity was recorded on the birth certificate (aOR: 1.30; 95% CI: 1.19-1.42) were more likely to have received MOUD. Regardless of high school degree attainment, non-Hispanic Black versus non-Hispanic White race was associated with lower likelihood of MOUD receipt. Hispanic race was associated with lower likelihood of MOUD receipt among women without a high school degree. Conclusions: Among a large cohort of pregnant women, we found disparities in receipt of MOUD among non-Hispanic Black, Hispanic, and rural pregnant women. As policymakers consider strategies to improve access to MOUD, they should consider targeted approaches to address these disparities.

Medicare Two-Midnight Rule Accelerated Shift To Observation Stays.

During the past two decades several policies have attempted to replace inappropriate hospital inpatient stays with observation hospital stays, where patients receive hospital care but are classified as outpatients. The Two-Midnight rule, adopted in October 2013 by the Centers for Medicare and Medicaid Services, states that more highly reimbursed inpatient payment is appropriate if care is expected to last at least two midnights; otherwise, observation stays should be used. For hospitals, the administrative burden associated with making these status determinations is substantial. We found that after the Two-Midnight rule was implemented, potentially inappropriate short inpatient stays decreased immediately by 2.0 stays per 1,000 beneficiaries and potentially more appropriate short outpatient stays increased immediately by 1.8 stays per 1,000 beneficiaries, hastening a preexisting trend in this direction. However, after this initial improvement, the rate of change slowed to a new steady state. Given the steady state and ongoing administrative resources needed, it is time to reconsider the value of status determination required by the Two-Midnight rule.

Traditional Medicare Spending on Inpatient Episodes as Hospitalizations Decline.

OBJECTIVE: To describe Medicare inpatient episode spending trends between 2009 and 2017 as inpatient use declined among traditional Medicare beneficiaries. METHODS: Inpatient episodes included claims for all traditional Medicare inpatient, outpatient, and Part D services provided during the 30 days prehospitalization, the inpatient stay, and the 90 subsequent days. We describe the mean number of episodes per 1000 beneficiaries, mean episode-related spending per beneficiary, and mean spending per episode for all beneficiaries and for specific populations and types of episodes. Spending measures are reported with and without adjustment for payment rate increases over the study period. RESULTS: The number of inpatient-initiated episodes per 1000 beneficiaries declined by 18.2% between 2009 and 2017 from 326 to 267. After adjusting for payment rate increases, Medicare spending per beneficiary on episode- related care declined by 8.9%, although spending per episode increased by 11.4% over this period. Between 2009 and 2017, all subgroups defined by age, sex, race, or Medicaid status experienced declines in inpatient use accompanied by decreased overall episode-related spending per beneficiary and increased spending per episode. Larger declines in the number of episodes per 1000 beneficiaries were seen among episodes that began with a planned admission (28.8%) or involved no use of post-acute care services (23.9%). When comparing admissions according to medical diagnosis, the largest decline occurred for episodes initiated by a hospitalization for a cardiac or circulatory condition (31.8%). CONCLUSION: Medicare inpatient episodes per beneficiary decreased, but spending decreases due to declining volume were offset by increased spending per episode.

Trends in medicare spending across strata of resource utilization among older individuals in the United States.

BACKGROUND: Health care spending is an increasing proportion of government expenditures in most Western countries. How this growth is distributed between individuals with minimal compared to high health care utilization is unknown. METHODS: We examined total and per-capita government expenditure in an observational cohort of fee-for-service U.S. Medicare enrollees aged ≥65 years from 2007 to 2018. We categorized patients into annual resource utilization strata. We examined annualized changes in adjusted spending across resource utilization strata and the distribution of spending within and across strata for a variety of health care settings. FINDINGS: Examining 314,593,489 beneficiary-years of coverage, the top 1% of beneficiaries accounted for 14.9% of all expenditures, the top 5% for 41.5%, the top 10% for 60.0%, the top 20% for 79.1%, and the top 50% for 95.7%. Annual expenditures remained relatively stable from 2007 to 2018, with annual mean change of 0.7% (standard deviation 1.1%; median 1.1%) and mean per capita change of 0.4% (standard deviation 1·6%; median 0·3%). Changes were similar across strata with mean increases <1% in all, save for the <50th percentile strata (mean annual growth=1·9%), a significant difference (p = 0.0002). The overall distribution of expenditures across health care settings remained consistent over time, with different distributions between expenditure strata. INTERPRETATION: In the U.S. from 2007 to 2018, Medicare spending has a Pareto distribution in which 80% of the costs are attributable to 20% of beneficiaries. Despite low overall Medicare spending growth from 2007 to 2018, growth has been greatest among those in the lowest spending group. FUNDING: The Commonwealth Fund (20,202,411).