The association of federal Medicaid abortion funding restrictions with adverse obstetric outcomes among United States Medicaid recipients.

OBJECTIVE: We examine the association of the Hyde Amendment with obstetrical outcomes in a national Medicaid population. STUDY DESIGN: We conducted a national study of Medicaid-funded abortions to determine the association of restrictions on adolescent, preterm, low-birth weight, and short interpregnancy interval births using administrative data. RESULTS: States that restricted coverage for abortion had a higher median rate of adolescent (10.2%; vs 7.4%; p-value < 0.001), preterm (11.4%; vs 10.1%; p < 0.001), short interpregnancy interval, (13.0% vs 9.6%; p < 0.001), and low birth weight births (10.2% vs 8.7%; p = 0.003) than states where Medicaid provided comprehensive coverage. CONCLUSIONS: Restricting federal funds for abortion is associated with adverse outcomes. IMPLICATIONS: When Medicaid does not provide comprehensive coverage for abortion care, few abortions are provided and higher rates of adverse obstetrical outcomes are noted.

Geographic Variation In Effective Contraceptive Use Among Medicaid Recipients In 2018.

Medicaid is the largest payer for publicly funded contraception, serving millions of women across the United States. However, relatively little is known about the extent to which effective contraceptive services vary geographically for Medicaid recipients. This study used national Medicaid claims to assess county-level variation in rates of provision of the most or moderately effective methods of contraception and provision of long-acting reversible contraception (LARC) across forty states and Washington, D.C., in 2018. County-level rates of most or moderately effective contraceptive use varied almost fourfold across states, from a low of 10.8 percent to a high of 44.4 percent. Rates of LARC provision varied almost tenfold, from a low of 1.0 percent to a high of 9.6 percent. Despite the fact that contraception is a core benefit within Medicaid, access and use vary substantially across and within states. Medicaid agencies have a variety of options to ensure that people have access to a choice of the full range of contraceptive methods, including removing or loosening utilization controls, incorporating quality metrics or value-based payments into contraceptive services, and adjusting reimbursement to remove barriers to the clinical provision of LARC.

Hospital Characteristics Associated With Heterogeneity in Institutional Postacute Care Spending Reductions Under the Comprehensive Care for Joint Replacement Model.

Importance: Prior research concluded that institutional postacute care spending decreased under the Comprehensive Care for Joint Replacement (CJR) model. Less is known about how changes in institutional postacute care spending varied across different types of hospitals. Objective: To measure hospital-level heterogeneity in the association of the CJR model with changes in institutional postacute care spending and to identify hospital characteristics associated with this variation. Design Setting and Participants: Using 100% Medicare claims data, this cross-sectional study assessed institutional postacute care spending from 2016 to 2017 among US hospitals randomly selected to participate in the CJR model and control group hospitals that were eligible but not selected for the participation in the CJR model. A causal forest was used to estimate the treatment effect of the CJR model conditional on hospital characteristics. Analysis was conducted between October 2019 and October 2021. Main Outcomes and Measures: The unit of analysis was each hospital; the outcome was the average per-episode Medicare spending for institutional postacute care within 90 days after hospital discharge for hip or knee joint replacement. Results: This study included 531 CJR participating hospitals and 658 control group hospitals from 2016 to 2017. The CJR model was associated with a $761 reduction in institutional postacute care spending (95% CI, -$1172 to -$351). The reduction in spending under the CJR model did not vary across conditional on hospital characteristics. Limited evidence was found for greater savings among hospitals with higher pre-CJR spending. However, this finding did not hold for hospitals in the highest quintile of pre-CJR spending. Conclusions and Relevance: In this cross-sectional study of 1189 hospitals, findings did not show strong evidence for significant heterogeneity in how the CJR model was associated with reductions in institutional postacute care spending across a range of hospital characteristics. Savings were not concentrated in hospitals with specific characteristics, such as hospitals with high-volume joint replacement or hospitals serving less medically or socially complex patients. Findings suggest that the CJR model created opportunities for savings across a spectrum of different hospitals.

Association of Medicare bundled payment model with joint replacement care for people with dementia.

BACKGROUND: We examined whether the Comprehensive Care for Joint Replacement (CJR) model was associated with changes in the receipt of joint replacement among people with Alzheimer's disease and related dementias (ADRD) as well as spending, health service use, and postsurgical outcomes among people with ADRD who underwent a joint replacement surgery. METHODS: Retrospective cohort study using 2013-2017 Medicare claims and Minimum Data Set. We used a difference-in-differences analysis to compare people with ADRD residing in CJR-participating treatment areas versus nonparticipating control areas on the receipt of joint replacement, episode spending during the index hospitalization and subsequent 90-day post-discharge period, discharges to an institutional post-acute care setting, and readmissions within 90 days of hospital discharge. RESULTS: Our sample included 3,361,950 Medicare enrollees with ADRD (2,156,995 women [64%]; mean [SD] age, 83 [8.0] years; 2,646,405 white [78%], 344,478 black [10%], 224,010 Hispanic [7%]). The receipt of replacement among people with ADRD changed similarly between CJR-participating treatment and control areas after CJR model was implemented, suggesting no association of CJR model with the receipt of replacement. Among people with ADRD who received joint replacement, the CJR model was associated with a $1029 decrease in spending per episode (95% confidence interval [CI] -$1577, -$481, p < 0.001), a 1.62 percentage point decrease in discharges to an institutional post-acute care setting (95% CI -3.17, -0.07, p = 0.04), but no changes in 90-day readmission (95% CI -2.68, 0.00, p = 0.051). CONCLUSIONS: Despite concerns that the CJR model could hinder people with ADRD from receiving joint replacement, the receipt of joint replacement did not change among people with ADRD under CJR. The CJR model was associated with decreased spending for people with ADRD who received joint replacements, driven by reduced discharges to an institutional post-acute care setting, without any changes in 90-day readmission.

The Spillover Effect of the Medicare Mandatory Bundled Payment Program on Joint Replacement Outcomes: Analysis of Patients with Commercial Insurance and Medicare Advantage.

BACKGROUND: To improve the value and efficiency of care among traditional Medicare enrollees, the Centers for Medicare & Medicaid Services has implemented alternative payment models designed to control health-care spending and improve quality. These models may affect care beyond traditional Medicare enrollees, "spilling over" into other populations. Established in April 2016, the Medicare mandatory bundled payment program, called the Comprehensive Care for Joint Replacement (CJR) model, holds hospitals accountable for spending and quality of care for traditional Medicare joint-replacement patients during care episodes that span from the index hospitalization to 90 days post-discharge. We assessed the extent to which the CJR model was associated with outcomes for patients enrolled in commercial insurance and Medicare Advantage plans. METHODS: With use of Health Care Cost Institute claims data from 2012 through 2017, we assessed the association of the CJR model with total expenditures, discharges to institutional post-acute care, and readmissions among commercial insurance and Medicare Advantage joint-replacement patients. The exposure variable was the implementation of the CJR model in 67 randomly selected metropolitan statistical areas compared with 103 similar areas without CJR implementation. We utilized difference-in-differences models to estimate the spillover effects of the CJR model by comparing outcomes between these areas before and after CJR implementation. RESULTS: The study included 174,893 joint-replacement episodes of care in commercial insurance enrollees and 202,070 episodes in Medicare Advantage enrollees. Among both commercial insurance and Medicare Advantage enrollees, CJR implementation was associated with no meaningful changes in total episode expenditures, discharges to institutional post-acute care, or readmissions. CONCLUSIONS: We found no evidence for spillover effects of the CJR model on commercial insurance and Medicare Advantage patients, suggesting that alternative payment models targeting traditional Medicare patients may have limited effects on the cost and quality of care for patients outside of the traditional Medicare system.

Association of Medicare Mandatory Bundled Payment Program With the Receipt of Elective Hip and Knee Replacement in White, Black, and Hispanic Beneficiaries.

Importance: The Comprehensive Care for Joint Replacement (CJR) model was designed to reduce the cost and improve the quality of hip or knee replacement among Medicare beneficiaries. Yet whether this model may exacerbate existing racial/ethnic disparities in access to the surgery is unclear. Objective: To examine the association of the CJR model with the receipt of elective hip or knee replacement across White, Black, and Hispanic Medicare beneficiaries. Design, Setting, and Participants: Retrospective cohort study of Medicare claims from 2013 through 2017 among White, Black, and Hispanic Medicare beneficiaries undergoing elective joint replacement in 65 treatment (selected for CJR participation) and 101 control metropolitan statistical areas (MSAs). Exposures: Starting in April 2016, hospitals in the treatment MSAs were required to participate in the CJR model and were accountable for expenditures occurring during patients' hospitalization for hip or knee replacement and 90 days after the hospital discharge. Main Outcomes and Measures: Beneficiary-level elective hip or knee replacement receipt in a given year. Results: Among 17 243 304 patients, 9 839 996 (57%) were women; 2 107 425 (12%) were age 85 years or older. Of the final sample, 14 632 434 (85%) were White beneficiaries, 1 518 629 (9%) were Black beneficiaries, and 1 092 241 (6%) were Hispanic beneficiaries. The CJR model was associated with an increase of 1.6 elective hip or knee replacements per 1000 beneficiary-years for Hispanic beneficiaries (95% CI, 0.06-2.05) and a decrease of 0.64 replacements for Black beneficiaries (95% CI, -1.25 to -0.02). No evidence was found for any changes for White beneficiaries per 1000 beneficiary-years (0.04 replacements, 95% CI, -0.35 to 0.42 replacements). The Black-White difference in the rate of elective hip or knee replacement per 1000 beneficiary-years further widened by 0.68 replacements (-0.68, 95% CI, -1.20 to -0.15). Conclusions and Relevance: In this cohort study, the CJR model was associated with increased receipt of elective hip or knee replacement among Hispanic beneficiaries, decreased receipt among Black beneficiaries, and no change in receipt among White beneficiaries. The decreased receipt of elective hip or knee replacement among Black beneficiaries may suggest that value-based payment models, including the CJR model, could be monitored for unintended consequences. However, the lack of similar findings among Hispanic beneficiaries suggests that payment models may have differential impacts across racial/ethnic groups.

Association of Medicare Mandatory Bundled Payment System for Hip and Knee Joint Replacement With Racial/Ethnic Difference in Joint Replacement Care.

Importance: There are marked racial/ethnic differences in hip and knee joint replacement care as well as concerns that value-based payments may exacerbate existing racial/ethnic disparities in care. Objective: To examine changes in joint replacement care associated with Medicare's Comprehensive Care for Joint Replacement (CJR) model among White, Black, and Hispanic patients. Design, Setting, and Participants: Retrospective cohort study of Medicare claims from 2013 through 2017 among White, Black, and Hispanic patients undergoing joint replacement in 67 treatment (selected for CJR participation) and 103 control metropolitan statistical areas. Exposures: The CJR model holds hospitals accountable for spending and quality of joint replacement care during care episodes (index hospitalization through 90 days after discharge). Main Outcomes and Measures: The primary outcomes were spending, discharge to institutional postacute care, and readmission during care episodes. Results: Among 688 346 patients, 442 163 (64.2%) were women, and 87 286 (12.7%) were 85 years or older. Under CJR, spending decreased by $439 for White patients (95% CI, -$718 to -$161; from pre-CJR spending in treatment metropolitan statistical areas of $25 264) but did not change for Black patients and Hispanic patients. Discharges to institutional postacute care decreased for all groups (-2.5 percentage points; 95% CI, -4.7 to -0.4, from pre-CJR risk of 46.2% for White patients; -6.0 percentage points; 95% CI, -9.8 to -2.2, from pre-CJR risk of 59.5% for Black patients; and -4.3 percentage points; 95% CI, -7.6 to -1.0, from pre-CJR risk of 54.3% for Hispanic patients). Readmission risk decreased for Black patients by 3.1 percentage points (95% CI, -5.9 to -0.4, from pre-CJR risk of 21.8%) and did not change for White patients and Hispanic patients. Under CJR, Black-White differences in discharges to institutional postacute care decreased by 3.4 percentage points (95% CI, -6.4 to -0.5, from the pre-CJR Black-White difference of 13.3 percentage points). No evidence was found demonstrating that Black-White differences changed for other outcomes or that Hispanic-White differences changed for any outcomes under CJR. Conclusions and Relevance: In this cohort study of patients receiving joint replacements, CJR was associated with decreased readmissions for Black patients. Furthermore, Black patients experienced a greater decrease in discharges to institutional postacute care relative to White patients, representing relative improvements despite concerns that value-based payment models may exacerbate existing disparities. Nonetheless, differences between White and Black patients in joint replacement care still persisted even after these changes.

Accuracy of Hospital Discharge Codes in Medicare Claims for Knee and Hip Replacement Patients.

BACKGROUND: Despite the importance of the hospital discharge destination field ("discharge code" hereafter) for research and payment reform, its accuracy is not well established. OBJECTIVES: The aim of this study was to examine the accuracy of discharge codes in Medicare claims. DATA SOURCES: 2012-2015 Medicare claims of knee and hip replacement patients. RESEARCH DESIGN: We identified patients' discharge location in claims and compared it with the discharge code. We also used a mixed-effects logistic regression to examine the association of patient and hospital characteristics with discharge code accuracy. RESULTS: Approximately 9% of discharge codes were inaccurate. Long-term care hospital discharge codes had the lowest accuracy rate (41%), followed by acute care transfers (72%), inpatient rehabilitation facility (80%), and home discharges (83%). Most misclassifications occurred within 2 broad groups of postacute care settings: home-based and institutional care. The odds of inaccurate discharge codes were higher for Medicaid-enrolled patients and safety-net and low-volume hospitals. CONCLUSIONS: Inaccurate hospital discharge coding may have introduced bias in studies relying on these codes (eg, evaluations of Medicare bundled payment models). Inaccuracy was more common among Medicaid-enrolled patients and safety-net and low-volume hospitals, suggesting more potential bias in existing study findings pertaining to these patients and hospitals.

Access to Primary, Mental Health, and Specialty Care: a Comparison of Medicaid and Commercially Insured Populations in Oregon.

OBJECTIVE: To describe how access to primary and specialty care differs for Medicaid patients relative to commercially insured patients, and how these differences vary across rural and urban counties, using comprehensive claims data from Oregon. DESIGN: Cross-sectional study of risk-adjusted access rates for two types of primary care providers (physicians; nurse practitioners (NPs) and physician assistants (PAs)); four types of mental health providers (psychiatrists, psychologists, advanced practice NPs or PAs specializing in mental health care, behavioral specialists); and four physician specialties (obstetrics and gynecology, general surgery, gastroenterology, dermatology). PARTICIPANTS: 420,947 Medicaid and 638,980 commercially insured adults in Oregon, October 2014-September 2015. OUTCOME: Presence of any visit with each provider type, risk-adjusted for sex, age, and health conditions. RESULTS: Relative to commercially insured individuals, Medicaid enrollees had lower rates of access to primary care physicians (- 11.82%; CI - 12.01 to - 11.63%) and to some specialists (e.g., obstetrics and gynecology, dermatology), but had equivalent or higher rates of access to NPs and PAs providing primary care (4.33%; CI 4.15 to 4.52%) and a variety of mental health providers (including psychiatrists, NPs and PAs, and other behavioral specialists). Across all providers, the largest gaps in Medicaid-commercial access rates were observed in rural counties. The Medicaid-commercial patient mix was evenly distributed across primary care physicians, suggesting that access for Medicaid patients was not limited to a small subset of primary care providers. CONCLUSIONS: This cross-sectional study found lower rates of access to primary care physicians for Medicaid enrollees, but Medicaid-commercial differences in access rates were not present across all provider types and displayed substantial variability across counties. Policies that address rural-urban differences as well as Medicaid-commercial differences-such as expansions of telemedicine or changes in the workforce mix-may have the largest impact on improving access to care across a wide range of populations.

Association of the Mandatory Medicare Bundled Payment With Joint Replacement Outcomes in Hospitals With Disadvantaged Patients.

Importance: Medicare's Comprehensive Care for Joint Replacement (CJR) model rewards or penalizes hospitals on the basis of meeting spending benchmarks that do not account for patients' preexisting social and medical complexity or high expenses associated with serving disadvantaged populations such as dual-eligible patients (ie, those enrolled in both Medicare and Medicaid). The CJR model may have different implications for hospitals serving a high percentage of dual-eligible patients (termed high-dual) and hospitals serving a low percentage of dual-eligible patients (termed low-dual). Objective: To examine changes associated with the CJR model among high-dual or low-dual hospitals in 2016 to 2017. Design, Setting, and Participants: This cohort study comprised 3 analyses of high-dual or low-dual hospitals (n = 1165) serving patients with hip or knee joint replacements (n = 768 224) in 67 treatment metropolitan statistical areas (MSAs) selected for CJR participation and 103 control MSAs. The study used Medicare claims data and public reports from 2012 to 2017. Data analysis was conducted from February 1, 2019, to August 31, 2019. Exposures: The CJR model holds participating hospitals accountable for the spending and quality of care during care episodes for patients with hip or knee joint replacement, including hospitalization and 90 days after discharge. Main Outcomes and Measures: The primary outcomes were total episode spending, discharge to institutional postacute care facility, and readmission within the 90-day postdischarge period; bonus and penalty payments for each hospital; and reductions in per-episode spending required to receive a bonus for each hospital. Results: In total, 1165 hospitals (291 high-dual and 874 low-dual) and 768 224 patients with joint replacement (494 013 women [64.3%]; mean [SD] age, 76 [7] years) were included. An episode-level triple-difference analysis indicated that total spending under the CJR model decreased at high-dual hospitals (by $851; 95% CI, -$1556 to -$146; P = .02) and low-dual hospitals (by $567; 95% CI, -$933 to -$202; P = .003). The size of decreases did not differ between the 2 groups (difference, -$284; 95% CI, -$981 to $413; P = .42). Discharge to institutional postacute care settings and readmission did not change among both hospital groups. High-dual hospitals were less likely to receive a bonus compared with low-dual hospitals (40.3% vs 59.1% in 2016; 56.9% vs 76.0% in 2017). To receive a bonus, high-dual hospitals would be required to reduce spending by $887 to $2231 per episode, compared with only $89 to $215 for low-dual hospitals. Conclusions and Relevance: The study found that high- and low-dual hospitals made changes in care after CJR implementation, and the magnitude of these changes did not differ between the 2 groups. However, high-dual hospitals were less likely to receive a bonus for spending cuts. Spending benchmarks for CJR would require high-dual hospitals to reduce spending more substantially to receive a financial incentive.

Provider reasons for discontinuing long-term opioid therapy following aberrant urine drug tests differ based on the type of substance identified.

OBJECTIVE: Urine drug testing (UDT) is increasingly performed as a means of identifying aberrant behavior that may be grounds for discontinuation of long-term opioid therapy (LTOT). Little is known, however, about the ways in which positive UDT results may differentially inform decisions to discontinue LTOT based on the type of substance for which the UDT screened positive. The aim of this study was to examine the likelihood of clinician-initiated discontinuation of LTOT attributed to positive UDT results across three discrete categories of substances: (1) cannabis, (2) alcohol or illicit substances (excluding cannabis), and (3) controlled prescription medications that were not prescribed. DESIGN: This retrospective study utilized the US Department of Veterans Affairs (VA) Health Care System. Corporate Data Warehouse to assemble a sample of 600 patients with substance use disorders and matched controls who were discontinued from LTOT in 2012. Comprehensive manual medical record review identified UDT results in the year prior to discontinuation and reason(s) for discontinuation. PATIENTS, PARTICIPANTS: Patients with one or more UDTs positive for a single substance (N = 185) comprised the study sample. MAIN OUTCOME MEASURE(S): Likelihood of clinician-initiated discontinuation attributed to a positive UDT across the three categories. RESULTS: Patients with one or more UDTs positive for cannabis were more likely to be discontinued from opioid therapy as a result of the positive UDT compared to those with one or more UDTs positive for nonprescribed prescription medication (adjusted odds ratio [OR] = 18.05, 95% CI = 7.29-44.66). Similarly, patients with UDTs positive for alcohol or illicit substances were more likely to be discontinued for the positive UDTs relative to patients who tested positive for nonprescribed prescription medications (adjusted OR = 13.10, 95% CI = 4.81-35.68). No difference in UDT-related discontinuation decisions was evident between patients with UDTs positive for alcohol/illicit substances versus cannabis (adjusted OR = 1.47, 95% CI = 0.57-3.77). CONCLUSIONS: High odds of UDT-related discontinuation were found in patients who tested positive for cannabis, alcohol, or illicit substances, relative to nonprescribed prescription medications.

Changes in pain intensity after discontinuation of long-term opioid therapy for chronic noncancer pain.

Little is known about changes in pain intensity that may occur after discontinuation of long-term opioid therapy (LTOT). The objective of this study was to characterize pain intensity after opioid discontinuation over 12 months. This retrospective U.S. Department of Veterans Affairs (VA) administrative data study identified N = 551 patients nationally who discontinued LTOT. Data over 24 months (12 months before and after discontinuation) were abstracted from VA administrative records. Random-effects regression analyses examined changes in 0 to 10 pain numeric rating scale scores over time, whereas growth mixture models delineated pain trajectory subgroups. Mean estimated pain at the time of opioid discontinuation was 4.9. Changes in pain after discontinuation were characterized by slight but statistically nonsignificant declines in pain intensity over 12 months after discontinuation (B = -0.20, P = 0.14). Follow-up growth mixture models identified 4 pain trajectory classes characterized by the following postdiscontinuation pain levels: no pain (average pain at discontinuation = 0.37), mild clinically significant pain (average pain = 3.90), moderate clinically significant pain (average pain = 6.33), and severe clinically significant pain (average pain = 8.23). Similar to the overall sample, pain trajectories in each of the 4 classes were characterized by slight reductions in pain over time, with patients in the mild and moderate pain trajectory categories experiencing the greatest pain reductions after discontinuation (B = -0.11, P = 0.05 and B = -0.11, P = 0.04, respectively). Pain intensity after discontinuation of LTOT does not, on average, worsen for patients and may slightly improve, particularly for patients with mild-to-moderate pain at the time of discontinuation. Clinicians should consider these findings when discussing risks of opioid therapy and potential benefits of opioid taper with patients.

Clinician Referrals for Non-opioid Pain Care Following Discontinuation of Long-term Opioid Therapy Differ Based on Reasons for Discontinuation.

BACKGROUND: Little is known about pain care offered to patients discontinued from long-term opioid therapy (LTOT) by their prescriber due to aberrant behaviors versus other reasons. OBJECTIVE: This study aimed to compare rates of non-opioid analgesic pharmacotherapy initiation and clinician referrals for non-pharmacologic pain treatment, complementary and integrative pain therapies, and specialty mental health and substance use disorder treatment between patients discontinued from opioid therapy due to aberrant behaviors versus other reasons. DESIGN: The design included retrospective manual electronic health record review and administrative data abstraction. PARTICIPANTS: Patients were sampled from a national cohort of US Department of Veterans Affairs patients prescribed continuous opioid therapy in 2011 who subsequently discontinued opioid therapy in 2012. The study sample comprised 509 patients discontinued from LTOT by opioid-prescribing clinicians. MAIN MEASURES: The primary independent variable was reason for discontinuation of LTOT (aberrant behaviors versus other reasons). Pain care dichotomous outcomes included clinician use of an opioid taper; initiating new non-opioid analgesic pharmacotherapy; and referrals for non-pharmacologic pain treatment, complementary and integrative pain therapies, and specialty mental health and substance use disorder treatment. KEY RESULTS: We observed low rates of opioid taper (15% of patients), initiations of new or modifications of existing non-opioid analgesic pharmacotherapy (45% of patients), and clinician referrals for non-pharmacologic pain treatment (58% of patients) and complementary and integrative therapies (25% of patients). Patients discontinued due to aberrant behaviors, relative to patients discontinued for other reasons, were more likely to receive opioid tapers (adjusted OR = 5.60, 95% CI = 2.10-14.93), receive new non-opioid analgesic medications or dose changes to an existing non-opioid analgesic medications (adjusted OR = 2.61, 95% CI = 1.59-4.29), or be referred for specialty substance use disorder treatment (adjusted OR = 7.39, 95% CI = 3.76-14.53). CONCLUSIONS: These findings highlight the variability in referral rates for different types of non-opioid pain treatments and challenges accessing specific types of pain care.

Oregon's Emphasis On Equity Shows Signs Of Early Success For Black And American Indian Medicaid Enrollees.

In 2012 Oregon transformed its Medicaid program, providing coverage through sixteen coordinated care organizations (CCOs). The state identified the elimination of health disparities as a priority for the CCOs, implementing a multipronged approach that included strategic planning, community health workers, and Regional Health Equity Coalitions. We used claims-based measures of utilization, access, and quality to assess baseline disparities and test for changes over time. Prior to the CCO intervention there were significant white-black and white-American Indian/Alaska Native disparities in utilization measures and white-black disparities in quality measures. The CCOs' transformation and implementation of health equity policies was associated with reductions in disparities in primary care visits and white-black differences in access to care, but no change in emergency department use, with higher visit rates persisting among black and American Indian/Alaska Native enrollees, compared to whites. States that encourage payers and systems to prioritize health equity could reduce racial and ethnic disparities for some measures in their Medicaid populations.

Suicidal ideation and suicidal self-directed violence following clinician-initiated prescription opioid discontinuation among long-term opioid users.

OBJECTIVE: Little is known about patient outcomes following discontinuation of opioid therapy, which may include suicidal ideation (SI) and suicidal self-directed violence (SSV). The purpose of this study was to examine correlates of SI and non-fatal SSV in a sample of patients discontinued from long-term opioid therapy (LTOT). METHOD: Five hundred-nine Veterans Health Administration (VHA) patients whose clinicians discontinued them from LTOT were selected from a national cohort of VHA patients who discontinued opioids in 2012. The sample comprised patients with a substance use disorder and matched controls. Patient electronic health records were manually reviewed to identify discontinuation reasons and the presence of SI or SSV in the 12months following discontinuation. RESULTS: Forty-seven patients (9.2%) had SI only, while 12 patients (2.4%) had SSV. In covariate-adjusted logistic regression models, mental health diagnoses associated with having SI/SSV included post-traumatic stress disorder (aOR=2.56, 95% CI=1.23-5.32) and psychotic disorders (aOR=3.19, 95% CI=1.14-8.89). Other medical comorbidities, substance use disorder and pain diagnoses, opioid dose, and benzodiazepine prescriptions were unrelated to SI/SSV. CONCLUSIONS: Among patients with a substance use disorder and matched controls, there are high rates of SI/SSV following opioid discontinuation, suggesting that these "high risk" patients may require close monitoring and risk prevention.

Substance Use Disorder Treatment Following Clinician-Initiated Discontinuation of Long-Term Opioid Therapy Resulting from an Aberrant Urine Drug Test.

BACKGROUND: It is unclear whether substance use disorder (SUD) treatment is offered to, or utilized by, patients who are discontinued from long-term opioid therapy (LTOT) following aberrant urine drug tests (UDTs). OBJECTIVE: To describe the proportion of patients who were referred to, and engaged in, SUD treatment following LTOT discontinuation and to examine differences in SUD treatment referral and engagement based on the substances that led to discontinuation. DESIGN: From a sample of 600 patients selected from a national cohort of Veterans Health Administration patients who were discontinued from LTOT, we used manual chart review to identify 169 patients who were discontinued because of a UDT that was positive for alcohol, cannabis, or other illicit or non-prescribed controlled substances. MAIN MEASURES: We extracted sociodemographic, clinical, and health care utilization data from patients' electronic medical records. KEY RESULTS: Forty-three percent of patients (n = 73) received an SUD treatment referral following LTOT discontinuation and 20% (n = 34) engaged in a new episode of SUD treatment in the year following discontinuation. Logistic regression models controlling for sociodemographic and clinical variables demonstrated that patients who tested positive for cannabis were less likely than patients who tested positive for non-cannabis substances to receive referrals for SUD treatment (aOR = 0.44, 95% CI = 0.23-0.84, p = 0.01) or engage in SUD treatment (aOR = 0.42, 95% CI = 0.19-0.94, p = 0.04). Conversely, those who tested positive for cocaine were more likely to receive an SUD treatment referral (aOR = 3.32, 95% CI = 1.57-7.06, p = 0.002) and engage in SUD treatment (aOR = 2.44, 95% CI = 1.00-5.96, p = 0.05) compared to those who did not have a cocaine-positive UDT. CONCLUSIONS: There may be substance-specific differences in clinician referrals to, and patient engagement in, SUD treatment. This suggests a need for more standardized implementation of clinical guidelines that recommend SUD care, when appropriate, following LTOT discontinuation.