Benefits and costs of intensive lifestyle modification programs for symptomatic coronary disease in Medicare beneficiaries.

BACKGROUND: This study reports outcomes of a Medicare-sponsored demonstration of two intensive lifestyle modification programs (LMPs) in patients with symptomatic coronary heart disease: the Cardiac Wellness Program of the Benson-Henry Mind Body Institute (MBMI) and the Dr Dean Ornish Program for Reversing Heart Disease® (Ornish). METHODS: This multisite demonstration, conducted between 2000 and 2008, enrolled Medicare beneficiaries who had had an acute myocardial infarction or a cardiac procedure within the preceding 12 months or had stable angina pectoris. Health and economic outcomes are compared with matched controls who had received either traditional or no cardiac rehabilitation following similar cardiac events. Each program included a 1-year active intervention of exercise, diet, small-group support, and stress reduction. Medicare claims were used to examine 3-year outcomes. The analysis includes 461 elderly, fee-for-service, Medicare participants and 1,795 controls. RESULTS: Cardiac and non-cardiac hospitalization rates were lower in participants than controls in each program and were statistically significant in MBMI (P < .01). Program costs of $3,801 and $4,441 per participant for the MBMI and Ornish Programs, respectively, were offset by reduced health care costs yielding non-significant three-year net savings per participant of about $3,500 in MBMI and $1,000 in Ornish. A trend towards lower mortality compared with controls was observed in MBMI participants (P = .07). CONCLUSIONS: Intensive, year-long LMPs reduced hospitalization rates and suggest reduced Medicare costs in elderly beneficiaries with symptomatic coronary heart disease.

Prescribed stimulant medications: Trends in the last decade, pre and post COVID-19 response.

Background: Recent studies indicate that COVID-19 has had a significant impact on access and continuity to opioid and benzodiazepine medications; little is known about its effect on access to and utilization of stimulant medications. Objective: To investigate trends of dispensed stimulant medications in relation to the COVID-19 pandemic response. Methods: Stimulant prescriptions dispensed during 2011-2021 were analyzed using the Massachusetts Prescription Drug Monitoring Program (PDMP), the state's data repository for all controlled substance medications dispensed to residents from retail pharmacies and out of state mail-order pharmacies. Statewide trends were estimated by age group, sex, and stimulant-naïve patients (individuals with no stimulant prescription in the prior one-year period). Results: Overall, stimulant prescriptions increased 70% from 2011 to 2021. Wide differences by sex and age groups were found pre and post COVID response periods. Between 2019 and 2021, stimulant prescriptions for males 12-18 years old decreased 14.6% compared to 0.9% for females. Female stimulant-naïve patients ages 25-34 increased more than males between 2019 and 2021 (11.6% compared to <1%, respectively) and females ages 35-44 increased 4.1% while males decreased by 2.7%. Conclusions: Administrators, clinicians, and policy makers should closely monitor stimulant prescribing trends, a critical step in improving access to and quality of care.

"Doctor and pharmacy shopping": A fading signal for prescription opioid use monitoring?

BACKGROUND: The term "doctor and pharmacy shopping" colloquially describes patients with high multiple provider episodes (MPEs)-a threshold count of distinct prescribers and/or pharmacies involved in prescription fulfillment. Opioid-related MPEs are implicated in the global opioid crisis and heavily monitored by government databases such as U.S. state prescription drug monitoring programs (PDMPs). We applied a widely-used MPE definition to examine U.S. trends from a large, commercially-insured population from 2010 to 2017. Further, we examined the proportion of enrollees identified as "doctor shoppers" with evidence of a cancer diagnosis to examine the risk of false positives. METHODS: Using a large, commercially-insured population, we identified patients with opioid-related MPEs: opioid prescriptions (Schedule II-V, no buprenorphine) filled from ≥5 prescribers AND ≥ 5 pharmacies within the past 90 days ("5x5x90d"). Quarterly rates per 100,000 enrollees (two specifications) were calculated between 2010 and 2017. We examined the trend in a recently published all-payer, 7 state cohort from the U.S. Centers for Disease Control and Prevention for comparison. Cancer-related ICD-9/10-CM codes were used. RESULTS: Quarterly MPE rates declined by approximately 73 % from 18.2-4.9 per 100,000 enrollee population with controlled substance prescriptions. In 2017, nearly one fifth of these commercially-insured enrollees identified by the 5x5x90d algorithm were diagnosed with cancer. Approximately 8% of this sample included patients with ≥ 1 buprenorphine prescriptions. CONCLUSIONS: Opioid "shopping" flags are a long-standing but rapidly fading PDMP signal. To avoid unintended consequences, such as identifying legitimate medical encounters requiring high healthcare utilization or opioid treatment, while maintaining vigilance, more nuanced and sophisticated approaches are needed.

Opioid Prescribing Behaviors - Prescription Behavior Surveillance System, 11 States, 2010-2016.

PROBLEM/CONDITION: In 2017, a total of 70,237 persons in the United States died from a drug overdose, and 67.8% of these deaths involved an opioid. Historically, the opioid overdose epidemic in the United States has been closely associated with a parallel increase in opioid prescribing and with widespread misuse of these medications. National and state policy makers have introduced multiple measures to attempt to assess and control the opioid overdose epidemic since 2010, including improvements in surveillance systems. PERIOD COVERED: 2010-2016 DESCRIPTION OF SYSTEM: The Prescription Behavior Surveillance System (PBSS) was created in 2011. Its goal was to track rates of prescribing of controlled substances and possible misuse of such drugs using data from selected state prescription drug monitoring programs (PDMP). PBSS data measure prescribing behaviors for prescription opioids using multiple measures calculated from PDMP data including 1) opioid prescribing, 2) average daily opioid dosage, 3) proportion of patients with daily opioid dosages ≥90 morphine milligram equivalents, 4) overlapping opioid prescriptions, 5) overlapping opioid and benzodiazepine prescriptions, and 6) multiple-provider episodes. For this analysis, PBSS data were available for 2010-2016 from 11 states representing approximately 38.0% of the U.S. POPULATION: Average quarterly percent changes (AQPC) in the rates of opioid prescribing and possible opioid misuse measures were calculated for each state. RESULTS AND INTERPRETATION: Opioid prescribing rates declined in all 11 states during 2010-2016 (range: 14.9% to 33.0%). Daily dosage declined least (AQPC: -0.4%) in Idaho and Maine, and most (AQPC: -1.6%) in Florida. The percentage of patients with high daily dosage had AQPCs ranging from -0.4% in Idaho to -2.3% in Louisiana. Multiple-provider episode rates declined by at least 62% in the seven states with available data. Variations in trends across the 11 states might reflect differences in state policies and possible differential effects of similar policies. PUBLIC HEALTH ACTIONS: Use of PDMP data from individual states enables a more detailed examination of trends in opioid prescribing behaviors and indicators of possible misuse than is feasible with national commercially available prescription data. Comparison of opioid prescribing trends among states can be used to monitor the temporal association of national or state policy interventions and might help public health policymakers recognize changes in the use or possible misuse of controlled prescription drugs over time and allow for prompt intervention through amended or new opioid-related policies.

Effects of mandatory prescription drug monitoring program (PDMP) use laws on prescriber registration and use and on risky prescribing.

BACKGROUND: Comprehensive mandatory use laws for prescription drug monitoring programs (PDMPs) have been implemented in a number of states to help address the opioid overdose epidemic. These laws may reduce opioid-related overdose deaths by increasing prescribers' use of PDMPs and reducing high-risk prescribing behaviors. METHODS: We used state PDMP data to examine the effect of these mandates on prescriber registration, use of the PDMP, and on prescription-based measures of patient risk in three states-Kentucky, Ohio, and West Virginia-that implemented mandates between 2010 and 2015. We conducted comparative interrupted time series analyses to examine changes in outcome measures after the implementation of mandates in the mandate states compared to control states. RESULTS: Mandatory use laws increased prescriber registration and utilization of the PDMP in the mandate states compared to controls. The multiple provider episode rate, rate of opioid prescribing, rate of overlapping opioid prescriptions, and rate of overlapping opioid/benzodiazepine prescriptions decreased in Kentucky and Ohio. Nevertheless, the magnitude of changes in these measures varied among mandates states. CONCLUSIONS: These findings indicate that PDMP mandates have the potential to reduce risky opioid prescribing practices. Variation in the laws may explain why the effectiveness varied between states.

Pay-for-performance as a cost-effective implementation strategy: results from a cluster randomized trial.

BACKGROUND: Pay-for-performance (P4P) has been recommended as a promising strategy to improve implementation of high-quality care. This study examined the incremental cost-effectiveness of a P4P strategy found to be highly effective in improving the implementation and effectiveness of the Adolescent Community Reinforcement Approach (A-CRA), an evidence-based treatment (EBT) for adolescent substance use disorders (SUDs). METHODS: Building on a $30 million national initiative to implement A-CRA in SUD treatment settings, urn randomization was used to assign 29 organizations and their 105 therapists and 1173 patients to one of two conditions (implementation-as-usual (IAU) control condition or IAU+P4P experimental condition). It was not possible to blind organizations, therapists, or all research staff to condition assignment. All treatment organizations and their therapists received a multifaceted implementation strategy. In addition to those IAU strategies, therapists in the IAU+P4P condition received US $50 for each month that they demonstrated competence in treatment delivery (A-CRA competence) and US $200 for each patient who received a specified number of treatment procedures and sessions found to be associated with significantly improved patient outcomes (target A-CRA). Incremental cost-effectiveness ratios (ICERs), which represent the difference between the two conditions in average cost per treatment organization divided by the corresponding average difference in effectiveness per organization, and quality-adjusted life years (QALYs) were the primary outcomes. RESULTS: At trial completion, 15 organizations were randomized to the IAU condition and 14 organizations were randomized to the IAU+P4P condition. Data from all 29 organizations were analyzed. Cluster-level analyses suggested the P4P strategy led to significantly higher average total costs compared to the IAU control condition, yet this average increase of 5% resulted in a 116% increase in the average number of months therapists demonstrated competence in treatment delivery (ICER = $333), a 325% increase in the average number of patients who received the targeted dosage of treatment (ICER = $453), and a 325% increase in the number of days of abstinence per patient in treatment (ICER = $8.134). Further supporting P4P as a cost-effective implementation strategy, the cost per QALY was only $8681 (95% confidence interval $1191-$16,171). CONCLUSION: This study provides experimental evidence supporting P4P as a cost-effective implementation strategy. TRIAL REGISTRATION: NCT01016704 .

Disparities in utilization of coronary artery disease treatment by gender, race, and ethnicity: opportunities for prevention.

Racial, ethnic, (R/E) and gender disparities in access to health services in the United States and their relationship to adverse health outcomes are well established. Despite an increase in evidence-based cardiovascular treatment, gender, racial, and ethnic disparities in coronary artery disease (CAD) treatment persist. There is neither currently a comprehensive framework for understanding why disparities occur in cardiovascular disease care, nor viable solutions for intervention. This article synthesizes the literature on disparities in coronary artery disease with a conceptual model for understanding chronic disease disparities. This article follows the natural history of disease to observe where differences arise, beginning with health risk management, screening, diagnosis, treatment, and rehabilitation. Racial, ethnic, and gender differences were found at every step of this continuum, including a higher burden of risk factors and a less likelihood of receiving needed lifesaving cardiac procedures. Unfortunately, there is a dearth of intervention strategies to reduce racial, ethnic, and gender disparities in coronary artery disease. Comprehensive solutions will require addressing the barriers at the system, the provider, and the patient level. An early intervention approach that addresses multiple risk factors should be a high priority.

Validation of prescriber risk indicators obtained from prescription drug monitoring program data.

BACKGROUND: Prescription opioids are commonly overprescribed. However, validated measures of inappropriate controlled substance prescribing are lacking. This study examined associations between prescriber risk indicators developed as part of a public health surveillance project and medical board disciplinary actions against prescribers. METHODS: We compiled 12 prescriber risk indicators using data from the Maine prescription drug monitoring program (PDMP) for 2010. We used logistic regression models to assess the relative likelihood of the top 1%, 2%, 5%, and 10% of prescribers on each risk indicator having been subject to medical board disciplinary actions, those citing inappropriate prescribing, or those involving license suspension or revocation, during 2010-2014, controlling for prescriber medical specialty and gender. RESULTS: The top 1% of prescribers for number of patients, opioid prescriptions per day, and opioid dosage prescribed per day had a greater likelihood of medical board disciplinary actions citing inappropriate prescribing, relative to a matched sample of other (non-top 1%) prescribers. Of the 56 prescribers in the top 1% for opioid prescriptions per day, nine (16.1%) were sanctioned for inappropriate prescribing, compared with 11 of 224 (0.5%) in the comparison group. The top 2% of prescribers for opioid dosage per day, and average distance patients travel to prescriber, had a greater likelihood of actions involving license suspension, revocation, or denial for renewal. CONCLUSIONS: Measures derived from PDMP data may be useful in assessing levels of inappropriate prescribing of controlled substances in a population of prescribers, and in evaluating changes associated with efforts to influence prescriber behavior.

Controlled Substance Prescribing Patterns--Prescription Behavior Surveillance System, Eight States, 2013.

PROBLEM/CONDITION: Drug overdose is the leading cause of injury death in the United States. The death rate from drug overdose in the United States more than doubled during 1999-2013, from 6.0 per 100,000 population in 1999 to 13.8 in 2013. The increase in drug overdoses is attributable primarily to the misuse and abuse of prescription drugs, especially opioid analgesics, sedatives/tranquilizers, and stimulants. Such drugs are prescribed widely in the United States, with substantial variation by state. Certain patients obtain drugs for nonmedical use or resale by obtaining overlapping prescriptions from multiple prescribers. The risk for overdose is directly associated with the use of multiple prescribers and daily dosages of >100 morphine milligram equivalents (MMEs) per day. PERIOD COVERED: 2013. DESCRIPTION OF SYSTEM: The Prescription Behavior Surveillance System (PBSS) is a public health surveillance system that allows public health authorities to characterize and quantify the use and misuse of prescribed controlled substances. PBSS began collecting data in 2012 and is funded by CDC and the Food and Drug Administration. PBSS uses standard metrics to measure prescribing rates per 1,000 state residents by demographic variables, drug type, daily dose, and source of payment. Data from the system can be used to calculate rates of misuse by certain behavioral measures such as use of multiple prescribers and pharmacies within specified time periods. This report is based on 2013 de-identified data (most recent available) that represent approximately one fourth of the U.S. POPULATION: Data were submitted quarterly by prescription drug monitoring programs (PDMPs) in eight states (California, Delaware, Florida, Idaho, Louisiana, Maine, Ohio, and West Virginia) that routinely collect data on every prescription for a controlled substance to help law enforcement and health care providers identify misuse or abuse of such drugs. RESULTS: In all eight states, opioid analgesics were prescribed approximately twice as often as stimulants or benzodiazepines. Prescribing rates by drug class varied widely by state: twofold for opioids, fourfold for stimulants, almost twofold for benzodiazepines, and eightfold for carisoprodol, a muscle relaxant. Rates for opioids and benzodiazepines were substantially higher for females than for males in all states. In most states, opioid prescribing rates peaked in either the 45-54 years or the 55-64 years age group. Benzodiazepine prescribing rates increased with age. Louisiana ranked first in opioid prescribing, and Delaware and Maine had relatively high rates of use of long-acting (LA) or extended-release (ER) opioids. Delaware and Maine ranked highest in both mean daily opioid dosage and in the percentage of opioid prescriptions written for >100 MMEs per day. The top 1% of prescribers wrote one in four opioid prescriptions in Delaware, compared with one in eight in Maine. For the five states whose PDMPs collected the method of payment, the percentage of controlled substance prescriptions paid for in cash varied almost threefold, and the percentage paid by Medicaid varied sixfold. In West Virginia, for 1 of every 5 days of treatment with an opioid, the patient also was taking a benzodiazepine. Multiple-provider episode rates were highest in Ohio and lowest in Louisiana. INTERPRETATION: This report presents rates of population-based prescribing and behavioral measures of drug misuse in the general population that have not been available previously for comparison among demographic groups and states. The higher prescribing rates for opioids among women compared with men are consistent with a higher self-reported prevalence of certain common types of pain, such as lower back pain among women. The trend in opioid prescribing rates with age is consistent with an increase in the prevalence of chronic pain with age, but the increasing prescribing rates of benzodiazepines with age is not consistent with the fact that anxiety is most common among persons aged 30-44 years. The variation among states in the type of opioid or benzodiazepine of choice is unexplained. Most opioid prescribing occurs among a small minority of prescribers. Most of the prescriptions by top-decile prescribers probably are written by general, family medicine, internal medicine, and midlevel practitioners. The source of payment varied by state, for reasons that are unclear. Persons who are prescribed opioids also are commonly prescribed benzodiazepine sedatives despite the risk for additive depressant effects. PUBLIC HEALTH ACTIONS: States can use their prescription drug monitoring programs to generate population-based measures for the prescribing of controlled substances and for behaviors that suggest their misuse. Comparing data with other states and tracking changes in these measures over time can be useful in measuring the effect of policies designed to reduce prescription drug misuse.

Effects of lifestyle modification programs on cardiac risk factors.

Medicare conducted a payment demonstration to evaluate the effectiveness of two intensive lifestyle modification programs in patients with symptomatic coronary artery disease: the Dr. Dean Ornish Program for Reversing Heart Disease (Ornish) and Cardiac Wellness Program of the Benson-Henry Mind Body Institute. This report describes the changes in cardiac risk factors achieved by each program during the active intervention year and subsequent year of follow-up. The demonstration enrolled 580 participants who had had an acute myocardial infarction, had undergone coronary artery bypass graft surgery or percutaneous coronary intervention within 12 months, or had documented stable angina pectoris. Of these, 98% completed the intense 3-month intervention, 71% the 12-month intervention, and 56% an additional follow-up year. Most cardiac risk factors improved significantly during the intense intervention period in both programs. Favorable changes in cardiac risk factors and functional cardiac capacity were maintained or improved further at 12 and 24 months in participants with active follow-up. Multivariable regressions found that risk-factor improvements were positively associated with abnormal baseline values, Ornish program participation for body mass index and systolic blood pressure, and with coronary artery bypass graft surgery. Expressed levels of motivation to lose weight and maintain weight loss were significant independent predictors of sustained weight loss (p = 0.006). Both lifestyle modification programs achieved well-sustained reductions in cardiac risk factors.

The Relationship between Substance Abuse Performance Measures and Mutual Help Group Participation after Treatment.

We examined the relationship between treatment quality, using during-treatment process measures, and mutual help group (e.g., Alcoholics Anonymous) attendance after outpatient substance use disorder (SUD) treatment for 739 clients in the Alcohol and Drug Services Study. Logistic regression models estimated any and regular mutual help attendance after treatment. Clients referred to mutual help groups were significantly more likely to attend any mutual help after treatment. Results were mixed for facility offered mutual help groups; treatment engagement and retention were not significant. These findings offer treatment providers further evidence of the importance of referring clients to post-treatment mutual help groups, an effective, low-cost option.

The Brief Treatment Cost Analysis Tool (TCAT-Lite) for Substance Abuse Treatment: Reliability and Application.

Although several costing instruments have been previously developed, few have been validated or applied systematically to the delivery of evidence-based practices (EBPs). Using data collected from 26 organizations implementing the same EBP, this paper examined the reliability, validity, and applicability of the brief Treatment Cost Analysis Tool (TCAT-Lite). The TCAT-Lite demonstrated good reliability-correlations between replications averaged 0.61. Validity also was high, with correlation of treated episodes per $100,000 between the TCAT-Lite and independent data of 0.57. In terms of applicability, cost calculations found that if all organizations had operated at optimal scale (124 client episodes per year), existing funds could have supported 64% more clients.

Unmet need for substance abuse treatment of adults in Massachusetts.

This article presents a methodology to estimate the size and cost of eliminating unmet need for substance abuse treatment services among adults who have clinically significant substance use disorders, and applies the approach to Massachusetts' information. Unmet treatment needs were derived using a statewide household telephone survey of 7,251 Massachusetts residents aged 19 and older conducted in 1996-1997, and an index of treatment mix and cost information from state and Medicaid financial data. The study estimates that 39,450 adult state residents (0.81% of the total sample) had a clinically significant past-year substance use disorder, but had not received treatment in the past year. Providing substance abuse treatment and outreach services to them would have required an additional cost of approximately 109 million dollars (17 dollars per capita), of which the state's payer of last resort, the Massachusetts Department of Public Health Bureau of Substance Abuse Services (BSAS), would need to fund 31 million dollars (5 dollars per capita). The share paid by BSAS (28%) would represent an increase of 42% over its current spending. This paper quantifies an important but sometimes overlooked objective of managed care: to improve access for substance abusers who need but do not seek treatment.

A publicly managed Medicaid substance abuse carve-out: effects on spending and utilization.

In 1998, Michigan Medicaid "carved out" substance abuse treatment from its medical plans, transferring the management responsibility and substantial financial risk to 15 specialized local entities called coordinating agencies. All these agencies were either non-profit or publicly owned, unlike carve-out entities in many other states. By the second year of the risk-based carve-out (2000), Medicaid payments per eligible were 9.1% lower than in the last year before the carve-out (1998). Reductions were largely achieved by serving fewer clients, not by reducing payments per client. Agencies faced with revenue reductions or small increases were more likely to reduce treatment spending.