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.

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.

A Survey of Charge Sensitivity and Charge Awareness Among Intensive Care Unit Providers in a Large Academic Medical Center.

Little is known about charge sensitivity or charge awareness among intensive care unit (ICU) providers in the United States. In a survey of 295 ICU providers at a large, academic medical center, 92.5% of respondents agreed that controlling health care expenses is partly their responsibility. However, 87.4% of respondents reported that they did not know the charges for most of the tests and medications they prescribe. Among surveyed participants, the correct charge for a medical procedure or test was selected only 35% of the time. While ICU providers overwhelmingly agree that controlling expenses is their responsibility, charge awareness is low and likely limits their ability to make value-based decisions.

Barriers to accessing treatment for pregnant women with opioid use disorder in Appalachian states.

Background and aims: Opioid agonist therapies (OATs) are highly effective treatments for opioid use disorders (OUDs), especially for pregnant women; thus, improving access to OAT is an urgent public policy goal. Our objective was to determine if insurance and pregnancy status were barriers to obtaining access to OAT in 4 Appalachian states disproportionately impacted by the opioid epidemic. Methods: Between April and May 2017, we conducted phone surveys of OAT providers, opioid treatment programs (OTPs), and outpatient buprenorphine providers, in Kentucky, North Carolina, Tennessee, and West Virginia. Survey response rates were 59%. Logistic models for dichotomous outcomes (e.g., patient acceptance) and negative binomial models were created for count variables (e.g., wait time), overall and for pregnant women. Results: The majority of OAT providers were accepting new patients; however, providers were less likely to treat pregnant women (91% vs. 75%; p < .01). OTPs were more likely to accept new patients than waivered buprenorphine providers (97% vs. 83%; p = .01); rates of accepting pregnant patients were lower in both (91% and 53%; p < .01). OTPs and buprenorphine providers accepted cash payments for services at high rates (OTP: 100%; buprenorphine: 89.4%; p < .01); Medicaid and private insurance were accepted at lower rates. In adjusted models, providers were less likely to accept pregnant women if they took any insurance (adjusted odds ratio [aOR] = 0.15, 95% confidence interval [CI]: 0.03-0.68) or were a buprenorphine provider (aOR = 0.09, 95% CI: 0.02-0.37). Conclusions: We found that OAT providers frequently did not accept any insurance and frequently did not treat pregnant women in an area of the country disproportionately affected by the opioid epidemic. Policymakers could prioritize improvements in provider training (e.g., training of obstetricians to become buprenorphine prescribers) as a means to enhance access to pregnant women or enhancing reimbursement rates as a means of improving insurance acceptance for OAT.

The association between Medicare accountable care organization enrollment and breast, colorectal, and prostate cancer screening.

BACKGROUND: Despite the rapid diffusion of accountable care organizations (ACOs), the effect of ACO enrollment on cancer diagnosis, treatment, and survivorship remains unknown. The objective of this study was to determine whether Medicare Shared Savings Program (MSSP) ACO enrollment was associated with changes in screening for breast, colorectal, and prostate cancers. METHODS: The authors built a cohort of Medicare beneficiaries from 2006 through 2014 comprising 39,218,652 person-years of observation before and 17,252,345 person-years of observation after MSSP enrollment. The Centers for Medicare & Medicaid Services attribution methodology was recapitulated; and screening services were identified for breast, colorectal, and prostate cancer, implementing both sensitive and specific definitions of cancer screening. Adjusted difference-in-differences analyses were performed using linear regression to characterize changes in annual screening rates after ACO enrollment relative to contemporaneous changes in a non-ACO control group of Medicare beneficiaries. RESULTS: Medicare beneficiaries attributed to ACO-enrolled providers had higher rates of breast, colorectal, and prostate cancer screening before enrollment. A 1.8% relative reduction in breast cancer screening was observed among women attributed to ACO providers (P < .0001), a 2.4% relative increase was observed in colorectal cancer screening (P = .0259), and a 3.4% relative reduction was observed in prostate cancer screening among men attributed to ACO providers (P = .0025) compared with contemporaneous changes in non-ACO controls. CONCLUSIONS: Small-magnitude reductions were observed in breast and prostate cancer screening rates, and a small increase was observed in colorectal cancer screening associated with ACO enrollment. Although ACO enrollment does not appear to drive wholesale changes in cancer screening, small differences may map to meaningful changes in the epidemiology of screen-detected cancers among Medicare beneficiaries.

Surgeon Participation in Early Accountable Care Organizations.

OBJECTIVE: We aimed to characterize the landscape of surgeon participation in early accountable care organizations (ACOs) and to identify specialty-, organization-, and market-specific factors associated with ACO participation. BACKGROUND: Despite rapid deployment of alternative payment models (APMs), little is known about the prevalence of surgeon participation, and key drivers behind surgeon participation in APMs. METHODS: Using data from SK&A, a research firm, we evaluated the near universe of US practices to characterize ACO participation among 125,425 US surgeons in 2015. We fit multivariable logistic regression models to characterize key drivers of ACO participation, and more specifically, the interaction between ACO affiliation and organizational structure. RESULTS: Of 125,425 US surgeons, 27,956 (22.3%) participated in at least 1 ACO program in 2015. We observed heterogeneity in participation by subspecialty, with trauma and transplant reporting the highest rate of ACO enrollment (36% for both) and plastic surgeons reporting the lowest (12.9%) followed by ophthalmology (16.0%) and hand (18.6%). Surgeons in group practices and integrated systems were more likely to participate relative to those practicing independently (aOR 1.57, 95% CI 1.50, 1.64; aOR 4.87, 95% CI 4.68, 5.07, respectively). We observed a statistically significant interaction (P <0.001) between surgical specialty and practice organization. Model-derived predicted probabilities revealed that, within each specialty, surgeons in integrated health systems had the highest predicted probabilities of ACO and those practicing independently generally had the lowest. CONCLUSIONS: We observed considerable variation in ACO enrollment among US surgeons, mediated at least in part by differences in practice organization. These data underscore the need for development of frameworks to characterize the strategic advantages and disadvantages associated with APM participation.

A Systematic Approach to Translating Evidence into Practice to Reduce Infant Mortality.

Purpose To provide recommendations for improving rates of infant mortality in a U.S. southeastern city using a collective impact approach. Description A convening organization and its academic partner devised a systematic process involving national experts and local stakeholders. Assessment A panel of infant mortality experts reached consensus on eight recommendations and three key overarching principles. Local stakeholder groups advanced four recommendations, of which three aligned closely with expert panel recommendations: (1) increasing access to, and use of 17-alpha hydroxyprogesterone caproate (17P); (2) reshaping housing policy using a health lens, and (3) supporting pre-conception health, intra-conception health and family planning. Conclusion The dynamic process of recommendation development occurred within a larger collective impact framework and can be used to shape a community-based approach to infant mortality. Other communities interested in improving rates of infant mortality or tackling other challenging public health issues could engage in a similar process.

Trends in Postacute Care Spending Growth During the Medicare Spending Slowdown.

Issue: Over the past decade, traditional Medicare's per-beneficiary spending grew at historically low levels. To understand this phenomenon, it is important to examine trends in postacute care, which experienced exceptionally high spending growth in prior decades. Goal: Describe per-beneficiary spending trends between 2007 and 2015 for postacute care services among traditional Medicare beneficiaries age 65 and older. Methods: Trend analysis of individual-level Medicare administrative data to generate per-beneficiary spending and utilization estimates for postacute care, including skilled nursing facilities, home health, and inpatient rehabilitation facilities. Key Findings and Conclusions: Per-beneficiary postacute care spending increased from $1,248 to $1,424 from 2007 to 2015. This modest increase reflects dramatic changes in annual spending and utilization growth rates, including a reversal from positive to negative spending growth rates for the skilled nursing facility and home health sectors. For example, the average annual spending growth rate for skilled nursing facility services declined from 7.4 percent over the 2008­11 period to ­2.8 percent over the 2012­15 period. Among beneficiaries with inpatient use, growth rates for postacute care spending and utilization slowed, but more moderately than observed among all beneficiaries. Reductions in hospital use, as well as reduced payment rates, contributed to declines in postacute spending.

Anticipating the Unintended Consequences of Closing the Door on Physician Self-Referral.

PURPOSE: While physician self-referral has been associated with increased health care use, the downstream effects of the practice remain poorly characterized. Accordingly we identified the relationship between urologist self-referral and downstream health care use in patients with urinary stone disease. MATERIALS AND METHODS: With urologist self-referral status as the exposure of interest, we performed a retrospective cohort study of Medicare beneficiaries from 2008 to 2010 to evaluate the relationship between self-referral and imaging intensity, risk of surgical treatment and time to surgical treatment for urinary stone disease. RESULTS: We identified dose dependent increases in computerized tomography use with increasing stratum of urologist self-referral. Compared to nonself-referring urologists, computerized tomography use was 1.19 times higher (95% CI 1.07-1.34) in episodes ascribed to intermediate frequency (5 to 9) and 1.32 times higher (95% CI 1.16-1.50) in episodes ascribed to high frequency (10+) self-referring urologists. Self-referral was inversely associated with risk of surgical treatment for stone disease. Specifically, patients treated by intermediate and high frequency self-referring urologists were less likely to undergo surgical treatment than those treated by nonself-referring urologists, with HR 0.84 (95% CI 0.71-0.99) and HR 0.81 (95% CI 0.66-0.99), respectively. We identified no statistically significant between-group differences in time to surgical treatment. CONCLUSIONS: Self-referral is associated with increased use of computerized tomography and with decreased use of surgery for stone disease. While policy efforts to further restrict physician self-referral may reduce the use of computerized tomography, they may also result in unintended consequences with respect to patterns of surgical care.

Implementing Computerized Provider Order Entry in Acute Care Hospitals in the United States Could Generate Substantial Savings to Society.

BACKGROUND: Computerized provider order entry (CPOE) with clinical decision support is a basic criterion for hospitals' meaningful use of electronic health record systems. A study was conducted to evaluate from the societal perspective the cost-utility of implementing CPOE in acute care hospitals in the United States. METHODS: A decision-analytical model compared CPOE with paper ordering among patients admitted to acute care hospitals with >25 beds. Parameters included start-up and maintenance costs, as well as costs for provider time use, medication and laboratory test ordering, and preventable adverse drug events. Probabilistic analyses produced incremental costs, effectiveness, and cost-effectiveness ratios for hospitals in four bed-size categories (25-72, 72-141, 141-267, 267-2,249). RESULTS: Relative to paper ordering and using typical estimates of implementation costs, CPOE had, on average, >99% probability of yielding savings to society and improving health. Per hospital in each size category, mean life-time savings -in millions-were $11.6 (standard deviation, $9.30), $34.4 ($21.2), $71.8 ($43.8), and $170 ($119) (2012 dollars), respectively, and quality-adjusted life-years (QALYs) gained were 19.9 (16.9), 53.7 (38.7), 109 (79.6), and 249 (205). Incremental effectiveness and costs were less favorable in certain circumstances, such as high implementation costs. Nationwide, anticipated increases in CPOE implementation from 2009 through 2015 could save $133 billion and 201,000 QALYs. CONCLUSIONS: In addition to improving health, implementing CPOE with clinical decision support could yield substantial long-term savings to society in the United States, although results for individual hospitals are likely to vary.

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.

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.

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.

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.