Healthcare costs for legally adjudicated elder mistreatment victims in comparison to non-mistreated older adults.

BACKGROUND: Elder mistreatment (EM) is associated with adverse health outcomes and healthcare utilization patterns that differ from other older adults. However, the association of EM with healthcare costs has not been examined. Our goal was to compare healthcare costs between legally adjudicated EM victims and controls. METHODS: We used Medicare insurance claims to examine healthcare costs of EM victims in the 2 years surrounding initial mistreatment identification in comparison to matched controls. We adjusted costs using the Centers for Medicare and Medicaid Services Hierarchical Condition Categories (CMS-HCC) risk score. RESULTS: We examined healthcare costs in 114 individuals who experienced EM and 410 matched controls. Total Medicare Parts A and B healthcare costs were similar between cases and controls in the 12 months prior to initial EM detection ($11,673 vs. $11,402, p = 0.92), but cases had significantly higher total healthcare costs during the 12 months after initial mistreatment identification ($15,927 vs. $10,805, p = 0.04). Adjusting for CMS-HCC scores, cases had, in the 12 months after initial EM identification, $5084 of additional total healthcare costs (95% confidence interval [$92, $10,077], p = 0.046) and $5817 of additional acute/subacute/post-acute costs (95% confidence interval [$1271, $10,362], p = 0.012) compared with controls. The significantly higher total costs and acute/sub-acute/post-acute costs among EM victims in the post-year were concentrated in the 120 days after EM detection. CONCLUSIONS: Older adults experiencing EM had substantially higher total costs during the 12 months after mistreatment identification, driven by an increase in acute/sub-acute/post-acute costs and focused on the period immediately after initial EM detection.

Medicare coverage of buprenorphine-naloxone film surrounding generic entry.

OBJECTIVES: To investigate trends in Medicare coverage of buprenorphine-naloxone film before and after the FDA approval of its first generic versions. STUDY DESIGN: This study used data from the Part D Prescription Drug Plan Formulary, Pharmacy Network, and Pricing Information Files from 2015 to 2022, which provide information on all stand-alone Medicare/Medicare Advantage Prescription Drug Plans. METHODS: We examined the percentage of plans that provided coverage of brand-name and generic buprenorphine-naloxone films with strength 8 mg/2 mg during 2015-2022. Median out-of-pocket (OOP) cost for a 30-day supply was estimated among all plans that provided coverage. RESULTS: Generic buprenorphine-naloxone film was covered by 82% of Medicare Part D plans in 2020, 2 years after market entry. Coverage of brand-name Suboxone film decreased from 76% in 2019 to 42% in 2020. The median OOP cost of buprenorphine-naloxone films faced by Medicare enrollees decreased from $99 in 2019 to $42 in 2020, driven by the lower price of generic films. In contrast, the OOP cost for brand-name buprenorphine-naloxone film increased gradually from $85 in 2015 to $100 in 2022. CONCLUSIONS: Medicare Part D plan formularies replaced brand-name buprenorphine-naloxone films with the newly approved generic versions. This was accompanied by a substantial decrease in estimated OOP cost faced by Part D enrollees. These changes could potentially increase access to buprenorphine among Medicare enrollees with opioid use disorder.

Hepatitis C Treatment Initiation Among US Medicaid Enrollees.

Importance: Direct-acting antiviral (DAA) treatment for hepatitis C virus (HCV) infection is highly effective but remains underused. Understanding disparities in the delivery of DAAs is important for HCV elimination planning and designing interventions to promote equitable treatment. Objective: To examine variations in the receipt of DAA in the 6 months following a new HCV diagnosis. Design, Setting, and Participants: This retrospective cohort study used national Medicaid claims from 2017 to 2019 from 50 states, Washington DC, and Puerto Rico. Individuals aged 18 to 64 years with a new diagnosis of HCV in 2018 were included. A new diagnosis was defined as a claim for an HCV RNA test followed by an International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) diagnosis code, after a 1-year lookback period. Main Outcomes and Measures: Outcome was receipt of a DAA prescription within 6 months of diagnosis. Logistic regression was used to examine demographic factors and ICD-10-identified comorbidities associated with treatment initiation. Results: Among 87 652 individuals, 43 078 (49%) were females, 12 355 (14%) were age 18 to 29 years, 35 181 (40%) age 30 to 49, 51 282 (46%) were non-Hispanic White, and 48 840 (49%) had an injection drug use diagnosis. Of these individuals, 17 927 (20%) received DAAs within 6 months of their first HCV diagnosis. In the regression analyses, male sex was associated with increased treatment initiation (OR, 1.24; 95% CI, 1.16-1.33). Being age 18 to 29 years (OR, 0.65; 95% CI, 0.50-0.85) and injection drug use (OR, 0.84; 95% CI, 0.75-0.94) were associated with decreased treatment initiation. After adjustment for state fixed effects, Asian race (OR, 0.50; 95% CI, 0.40-0.64), American Indian or Alaska Native race (OR, 0.68; 95% CI, 0.55-0.84), and Hispanic ethnicity (OR, 0.81; 95% CI, 0.71-0.93) were associated with decreased treatment initiation. Adjustment for state Medicaid policy did not attenuate the racial or ethnic disparities. Conclusions: In this retrospective cohort study, HCV treatment initiation was low among Medicaid beneficiaries and varied by demographic characteristics and comorbidities. Interventions are needed to increase HCV treatment uptake among Medicaid beneficiaries and to address disparities in treatment among key populations, including younger individuals, females, individuals from minoritized racial and ethnic groups, and people who inject drugs.

Emergency Department and Hospital Utilization Among Older Adults Before and After Identification of Elder Mistreatment.

Importance: Elder mistreatment is common and has serious health consequences. Little is known, however, about patterns of health care utilization among older adults experiencing elder mistreatment. Objective: To examine emergency department (ED) and hospital utilization of older adults experiencing elder mistreatment in the period surrounding initial mistreatment identification compared with other older adults. Design, Setting, and Participants: This retrospective case-control study used Medicare insurance claims to examine older adults experiencing elder mistreatment initially identified between January 1, 2003, and December 31, 2012, and control participants matched on age, sex, race and ethnicity, and zip code. Statistical analysis was performed in April 2022. Main Outcomes and Measures: We used multiple measures of ED and hospital utilization patterns (eg, new and return visits, frequency, urgency, and hospitalizations) in the 12 months before and after mistreatment identification. Data were adjusted using US Centers for Medicare and Medicaid Services Hierarchical Condition Categories risk scores. Chi-squared tests and conditional logistic regression models were used for data analyses. Results: This study included 114 case patients and 410 control participants. Their median age was 72 years (IQR, 68-78 years), and 340 (64.9%) were women. Race and ethnicity were reported as racial or ethnic minority (114 [21.8%]), White (408 [77.9%]), or unknown (2 [0.4%]). During the 24 months surrounding identification of elder mistreatment, older adults experiencing mistreatment were more likely to have had an ED visit (77 [67.5%] vs 179 [43.7%]; adjusted odds ratio [AOR], 2.95 [95% CI, 1.78-4.91]; P < .001) and a hospitalization (44 [38.6%] vs 108 [26.3%]; AOR, 1.90 [95% CI, 1.13-3.21]; P = .02) compared with other older adults. In addition, multiple ED visits, at least 1 ED visit for injury, visits to multiple EDs, high-frequency ED use, return ED visits within 7 days, ED visits for low-urgency issues, multiple hospitalizations, at least 1 hospitalization for injury, hospitalization at multiple hospitals, and hospitalization for ambulatory care sensitive conditions were substantially more likely for individuals experiencing elder mistreatment. The rate of ED and hospital utilization for older adults experiencing elder mistreatment was much higher in the 12 months after identification than before, leading to more pronounced differences between case patients and control participants in postidentification utilization. During the 12 months after identification of elder mistreatment, older adults experiencing mistreatment were particularly more likely to have had high-frequency ED use (12 [10.5%] vs 8 [2.0%]; AOR, 8.23 [95% CI, 2.56-26.49]; P < .001) and to have visited the ED for low-urgency issues (12 [10.5%] vs 8 [2.0%]; AOR, 7.33 [95% CI, 2.54-21.18]; P < .001). Conclusions and Relevance: In this case-control study of health care utilization, older adults experiencing mistreatment used EDs and hospitals more frequently and with different patterns during the period surrounding mistreatment identification than other older adults. Additional research is needed to better characterize these patterns, which may be helpful in informing early identification, intervention, and prevention of elder mistreatment.

Medicare Part D Coverage Restrictions and Patient Cost-Sharing for Opioids Commonly Used for Cancer Pain, 2015-2021.

PURPOSE: Nation-wide rapid declines in prescription opioid dispensing gave rise to concerns regarding restricted access to effective pain management for patients with cancer-related pain. One important mechanism for such restrictions could be through more restrictive insurance coverage for opioids. This study aims to assess recent changes in Medicare Part D formulary designs for opioids commonly used for cancer-related pain. METHODS: We used data from the 2015-2021 Medicare Prescription Drug Plan (PDP) Formulary Files to assess formulary changes for six opioid-dose combinations commonly used for cancer-related pain. We estimated % of PDPs adopting prior authorization, quantity limits (and limits adopted), and a higher cost-sharing tier for each opioid-dose combination. We further estimated median and mean out-of-pocket (OOP) costs across all PDPs for a 30-day supply of the drug. Trends in proportions were tested using the Cochrane-Armitage test; trends in continuous measures were tested using the Jonckheere-Terpstra test. RESULTS: Proportion of PDPs adopting prior authorization increased from close to 0% to about 50% for two long-acting opioids (P < .001). Distribution of quantity limits across PDPs shifted over time to being more restrictive for all opioids considered (P < .001). For four of the six opioids, the proportion of PDPs adopting tier 3 or above increased from below or about 50% to well over 70% (P < .001). For the same four opioids, median OOP costs doubled to quadrupled (P < .001). CONCLUSION: Medicare PDP coverage has become increasingly restrictive for opioids commonly used for cancer-related pain, with multifold increases in patient OOP costs over the past 7 years. These changes pose concerns for patients with cancer needing opioid therapies for pain control and call for strategies to effectively exempt cancer-related pain from insurance and pharmacy rules intended to apply to opioids for noncancer chronic pain.

Medicaid Hepatitis C Virus Treatment Policies: Impact on Testing and Treatment in the Commercially Insured.

INTRODUCTION: A total of 23 state Medicaid programs continue to restrict hepatitis C virus (HCV) medication access by liver disease or substance-use criteria, creating obstacles to HCV elimination and significant care disparities. Because public insurers often set precedents for private insurer coverage and clinician practice patterns, this study sought to analyze whether spillover occurs from state Medicaid HCV treatment restrictions to HCV screening and treatment rates in commercially insured individuals. METHODS: Investigators analyzed 2014‒2017 commercial claims data across 48 U.S. states (721,961,965 person-months) and used an interrupted times series design to compare hepatitis C virus screening and treatment rates before and after state Medicaid HCV treatment policy changes, adjusting for state-level random effects, Medicaid expansion status, and state drug overdose incidence rates, in states that relaxed Medicaid policy over the study period. Analysis occurred during 2019‒2021. RESULTS: Hepatitis C virus screening rates among commercially insured individuals increased after the corresponding state Medicaid program relaxed HCV treatment policy. Among states that changed Medicaid policy, those that reduced fibrosis or both fibrosis and abstinence restrictions experienced increased HCV screening rates by the study end compared with states that changed only abstinence restrictions (rate ratio=1.29; 95% CI=1.15, 1.44; and rate ratio=1.32; 95% CI=1.17, 1.50, respectively). Similar patterns did not occur in HCV treatment rates, which declined after 2015 across groups. CONCLUSIONS: These data show that HCV screening rates increased among commercially insured individuals after the removal of Medicaid HCV treatment restrictions in the same state. This suggests that Medicaid treatment policies can spill over to affect health outcomes among commercially insured populations.

Chronic Medication Nonadherence and Potentially Preventable Healthcare Utilization and Spending Among Medicare Patients.

BACKGROUND: The association between nonadherence to chronic medications and potentially preventable healthcare utilization and spending is largely unknown. OBJECTIVES: To examine the associations of chronic medication nonadherence with potentially preventable utilization and spending among patients who were prescribed diabetic medications, renin-angiotensin system antagonists (RASA) for hypertension, or statins for high cholesterol, and compare the associations by patient race/ethnicity and socioeconomic status. DESIGN: Retrospective cohort study. Medicare fee-for-service claims data from 2013 to 2016 for 177,881 patients. MEASURES: Medication nonadherence was defined as having a below 80% proportion of days covered in each 6-month interval after the index prescription. Potentially preventable utilization was measured by preventable emergency department visits and preventable hospitalizations. Potentially preventable spending was calculated as the geographically adjusted spending associated with preventable encounters. RESULTS: After adjustment for other patient characteristics, medication nonadherence was associated with a 1.7-percentage-point increase (95% confidence interval [CI]: 1.4 to 2.0 percentage points, p < 0.001) in the probability of preventable utilization among the diabetic medication cohort, a 1.7-percentage-point increase (95% CI: 1.5 to 1.9 percentage points, p < 0.001) among the RASA cohort, and a 1.0-percentage-point increase (95% CI: 0.8 to 1.1 percentage points, p < 0.001) among the statin cohort. Among patients with at least one preventable encounter, medication nonadherence was associated with $679-$898 increased preventable spending. The incremental probability of preventable utilization and incremental spending associated with nonadherence were higher among racial/ethnic minority and low socioeconomic groups. CONCLUSIONS: Improving medication adherence is a potential avenue to reducing preventable utilization and spending. Interventions are needed to address racial/ethnic and socioeconomic disparities.

Diagnostic Coding of Elder Mistreatment: Results From a National Database of Medicare Advantage and Private Insurance Patients, 2011-2017.

Health care providers may play an important role in detection of elder mistreatment, which is common but underrecognized. We used the Health Care Cost Institute insurance claims database to describe elder mistreatment diagnosis among Medicare Advantage (MA) and private insurance patients in the United States from 2011 to 2017. We used International Classification of Diseases (ICD) coding to identify cases, examining the impact of transition from ICD-9 (Ninth Revision) to ICD-10 (Tenth Revision), which occurred in October 2015 and added 14 new codes for "suspected" mistreatment. 8,127 patients (0.051% of all aged ≥ 65), including 6,304 with MA (0.058%) and 1,823 with private insurance (0.026%) received elder mistreatment diagnosis. Transition from ICD-9 to ICD-10 was associated with a small increase in diagnosis rate, with "suspected" codes used in 45.3% of ICD-10 versus 9.7% of ICD-9 cases. Overall rates remained low. Rates, settings, and types of diagnosis differed between MA and private insurance patients.

Robust Prescription Monitoring Programs and Abrupt Discontinuation of Long-term Opioid Use.

INTRODUCTION: This study assesses the associations between the recent implementation of robust features of state Prescription Drug Monitoring Programs and the abrupt discontinuation of long-term opioid therapies. METHODS: Data were from a national commercial insurance database and included privately insured adults aged 18-64 years and Medicare Advantage enrollees aged ≥65 years who initiated a long-term opioid therapy episode between Quarter 2 of 2011 and Quarter 2 of 2017. State Prescription Drug Monitoring Programs were characterized as nonrobust, robust, and strongly robust. Abrupt discontinuation was measured on the basis of high daily morphine milligram equivalents over the last 30 days of a long-term opioid therapy episode or no sign of tapering before discontinuation. Difference-in-differences models were estimated in 2019‒2020 to assess the association between robust Prescription Drug Monitoring Programs and abrupt discontinuation. RESULTS: Among nonelderly privately insured adults, robust Prescription Drug Monitoring Programs were associated with an increase from 14.8% to 15.4% (4% relative increase, p=0.02) in the rate of ending long-term opioid therapy with ≥60 daily morphine milligram equivalents. For older Medicare Advantage enrollees, strongly robust Prescription Drug Monitoring Programs were associated with a reduction from 4.8% to 4.3% (10.4%, p=0.01) and from 3.0% to 2.4% (17.3%, p=0.001) in the rate of ending long-term opioid therapy with ≥90 and 120 daily morphine milligram equivalents, respectively. Prescription Drug Monitoring Programs robustness was not associated with clinically meaningful changes in the rate of discontinuing long-term opioid therapy without tapering. CONCLUSIONS: Discontinuation without tapering was the norm for long-term opioid therapies in the samples throughout the study years. Findings do not support the notion that policies aimed at enhancing Prescription Drug Monitoring Program use were associated with substantial increases in abrupt long-term opioid therapy discontinuation.

Prescription Opioids Dispensed to Patients with Cancer with Bone Metastasis: 2011-2017.

Opioid therapy is a first-line approach for moderate-to-severe pain associated with cancer with bone metastasis (CBM). The decade-long decline in opioid prescribing in the U.S. would not be expected to affect patients with CBM. We investigated trends in opioids dispensed to patients with CBM using data from a large commercial claims database. From 2011 quarter 2 to 2017 quarter 4, the percentage of patients with CBM prescribed at least 1 day of opioids in a quarter declined from 28.1% to 24.5% (p < .001) for privately insured patients aged 18-64 years and from 39.1% to 30.5% (p < .001) for Medicare Advantage (MA) patients aged 65 years or older. Among patients with at least 1 day of opioids in a quarter, the average morphine milligram equivalents dispensed declined by 37% and 11% (p < .001 for both) for privately insured and MA patients, respectively. Our findings raise concerns about potential unintended consequences related to population-level reduction in opioid prescribing.

Financing Early Psychosis Intervention Programs: Provider Organization Perspectives.

OBJECTIVE: The authors aimed to identify prominent financing approaches for coordinated specialty care (CSC) of patients with first-episode psychosis, alignment or misalignment of such approaches with sustained CSC implementation, and CSC provider perspectives on ideal payment models. METHODS: Semistructured interviews were conducted with informants from CSC provider organizations. Purposeful sampling of CSC program directors, team leaders, and other administrators from a national e-mail Listserv was supplemented by snowball sampling via participant recommendations. Interview data from 19 CSC programs in 14 states were analyzed by using an integrated (inductive and deductive) approach to derive themes. RESULTS: The results indicated that financing approaches to CSC were patchwork and highly varied. Three major sources of funding were cited: insurance billing (largely fee for service [FFS] to Medicaid and private insurance), set-aside funding from the federal Mental Health Block Grant (MHBG) program, and state funding. The findings revealed limited coverage and restrictive rules associated with FFS insurance billing that were misaligned with CSC implementation. The grant nature of MHBG and other public funding was seen as a threat to long-term CSC sustainability and deployment. CSC stakeholders endorsed a bundled-payment approach by public and private payers and supported tying payment to client outcomes to reflect CSC's recovery orientation. CONCLUSIONS: Reliance on FFS insurance billing and public funding is likely to be unsustainable. Additionally, FFS billing is misaligned with CSC goals. Because of the diversity in CSC programs, populations, and existing funding mechanisms and rules, payer-provider collaboration will be essential in designing a bundled-payment model that meets local needs.

Identifying patterns of health care utilisation among physical elder abuse victims using Medicare data and legally adjudicated cases: protocol for case-control study using data linkage and machine learning.

INTRODUCTION: Physical elder abuse is common and has serious health consequences but is under-recognised and under-reported. As assessment by healthcare providers may represent the only contact outside family for many older adults, clinicians have a unique opportunity to identify suspected abuse and initiate intervention. Preliminary research suggests elder abuse victims may have different patterns of healthcare utilisation than other older adults, with increased rates of emergency department use, hospitalisation and nursing home placement. Little is known, however, about the patterns of this increased utilisation and associated costs. To help fill this gap, we describe here the protocol for a study exploring patterns of healthcare utilisation and associated costs for known physical elder abuse victims compared with non-victims. METHODS AND ANALYSIS: We hypothesise that various aspects of healthcare utilisation are differentially affected by physical elder abuse victimisation, increasing ED/hospital utilisation and reducing outpatient/primary care utilisation. We will obtain Medicare claims data for a series of well-characterised, legally adjudicated cases of physical elder abuse to examine victims' healthcare utilisation before and after the date of abuse detection. We will also compare these physical elder abuse victims to a matched comparison group of non-victimised older adults using Medicare claims. We will use machine learning approaches to extend our ability to identify patterns suggestive of potential physical elder abuse exposure. Describing unique patterns and associated costs of healthcare utilisation among elder abuse victims may improve the ability of healthcare providers to identify and, ultimately, intervene and prevent victimisation. ETHICS AND DISSEMINATION: This project has been reviewed and approved by the Weill Cornell Medicine Institutional Review Board, protocol #1807019417, with initial approval on 1 August 2018. We aim to disseminate our results in peer-reviewed journals at national and international conferences and among interested patient groups and the public.

State Opioid Limits and Volume of Opioid Prescriptions Received by Medicaid Patients.

BACKGROUND: Since early 2016, an increasing number of states passed legislations that limit the duration and/or dosage of initial opioid prescriptions or opioids for acute pain. OBJECTIVE: The objective of this study was to assess changes in the number of opioid prescriptions covered by Medicaid and received by Medicaid patients associated with state implementation of legislative limits on initial opioid prescriptions. RESEARCH DESIGN: We explored the natural experiment resulting from the staggered implementation of state legislative limits. The analysis adopted a Difference-in-Differences framework and controlled for other major state policies bearing implications for prescription opioid use. The main analysis included 26 states that implemented limits from early 2016 to late 2018. A secondary analysis included all 50 states and the District of Columbia. MEASURES: Population-adjusted state-quarter level counts of Schedule II and III opioid prescriptions received by Medicaid patients, based on data from the Medicaid State Drug Utilization Data and state Medicaid enrollment reports for 2013-2018. RESULTS: Implementation of legislative limits on initial opioid prescriptions was associated with a 7% reduction in the number of opioid prescriptions per 100 Medicaid enrollees. Such reduction was largely attributable to a reduction in Schedule II opioid prescriptions. Secondary analysis by including all jurisdictions and sensitivity checks supported the robustness of results. CONCLUSION: The recent implementation of state legislative limits on initial opioid prescriptions was associated with meaningful reductions in the volume of Schedule II opioid prescriptions received by Medicaid patients.

State Policies for Prescription Drug Monitoring Programs and Adverse Opioid-related Hospital Events.

BACKGROUND: State policies to optimize prescriber use of Prescription Drug Monitoring Programs (PDMPs) have proliferated in recent years. Prominent policies include comprehensive mandates for prescriber use of PDMP, laws allowing delegation of PDMP access to office staff, and interstate PDMP data sharing. Evidence is limited regarding the effects of these policies on adverse opioid-related hospital events. OBJECTIVE: The objective of this study was to assess the effects of 3 PDMP policies on adverse opioid-related hospital events among patients with prescription opioid use. RESEARCH DESIGN: We examined 2011-2015 data from a large national commercial insurance database of privately insured and Medicare Advantage patients from 28 states with fully operating PDMPs by the end of 2010. We used a difference-in-differences framework to assess the probabilities of opioid-related hospital events and association with the implementation of PDMP policies. The analysis was conducted for adult patients with any prescription opioid use, a subsample of patients with long-term prescription opioid use, and stratified by older (65+) versus younger patients. RESULTS: Comprehensive use mandates were associated with a relative reduction in the probability of opioid-related hospital events by 28% among patients with any opioid and 21% among patients with long-term opioid use. Such reduction was greater (in relative terms) among older patients despite the lower rate of these events among older than younger patients. Delegate laws and interstate data sharing were associated with limited change in the outcome. CONCLUSION: Comprehensive PDMP use mandates were associated with meaningful reductions in opioid-related hospital events among privately insured and Medicare Advantage adults with prescription opioid use.

Prescription Drug Monitoring Program Mandates: Impact On Opioid Prescribing And Related Hospital Use.

Comprehensive mandates for prescription drug monitoring programs (PDMPs) require state-licensed prescribers and dispensers both to register with and to use the programs in most clinical circumstances. Such mandates have the potential to improve providers' participation and reduce opioid-related adverse events. Using Medicaid prescription data and hospital utilization data across the US in the period 2011-16, we found that state implementation of comprehensive PDMP mandates was associated with a reduction in the opioid prescription rate from 161.47 to 147.07 per 1,000 enrollees per quarter, a reduction in the opioid-related inpatient stay rate from 97.50 to 93.34 per 100,000 enrollees per quarter, and a reduction in the opioid-related emergency department (ED) visit rate from 74.60 to 61.36 per 100,000 enrollees per quarter. Our estimated annual reductions of approximately 12,000 inpatient stays and 39,000 ED visits could save over $155 million in Medicaid spending, a fact that deserves policy attention when states attempt to strengthen and refine PDMPs to better tackle the opioid crisis.