Design and impact of bundled payment for detox and follow-up care

Payment and Financing for Substance Use Screening and Brief Intervention for Adolescents and Adults in Health, School, and Community Settings

Screening and brief intervention (SBI) is an evidence-based, cost-effective practice to address unhealthy substance use. With SBI services expanding beyond healthcare settings (e.g., schools, community organizations) and reaching younger populations, sustainability efforts must consider payment and financing. This narrative review incorporated rapid scoping review methods and a search of the gray literature to determine payment and financing approaches for SBI with adolescents and to describe related barriers and facilitators for its sustainability. We sought information relevant to adolescents and settings in which they receive SBI, but also reviewed sources with an adult focus. Few peer-reviewed articles met inclusion criteria, and those mostly highlighted healthcare settings. School-based settings were better described in the gray literature; little was found about community settings. SBI is mostly paid through grant funding and public and commercial insurance; school-based settings use a range of approaches including grants, public insurance, and other public funding. We call upon researchers and providers to describe the payment and financing of SBI, to inform how the uptake of SBI may be practicable and sustainable. The increasing activation and use of insurance billing codes, and the expansion of SBI beyond healthcare, is encouraging to address unhealthy substance use by adolescents.

It's not just the money: The role of treatment ideology in publicly funded substance use disorder treatment

Medications for opioid use disorder (MOUD) are a first-line treatment for opioid use disorder, yet national surveys indicate that most substance use treatment facilities do not offer MOUD. This article presents the results of a qualitative analysis of interviews with leaders from 25 treatment organizations in Philadelphia, Pennsylvania, that investigated attitudes and barriers toward MOUD. Most treatment organizations that we interviewed are adopting at least one MOUD, suggesting that Philadelphia exceeds the national average of organizations with MOUD capacity. Leaders indicated that both practical resources and ideological barriers thwart adoption and implementation of MOUD in publicly funded substance use disorder treatment agencies. Organizations that had recently adopted MOUDs revealed facilitators to MOUD adoption, such as strong leadership that champions the implementation to staff and redefining recovery from substance use disorders throughout the organization. This study's findings highlight that clients, clinicians, and leadership need to address both practical and ideological barriers to expanding MOUD use.

Evaluating the feasibility and impact of case rate payment for recovery support navigator services: a mixed methods study

Background

Acute 24-h detoxification services (detox) are necessary but insufficient for many individuals working towards long-term recovery from opiate, alcohol or other drug addiction. Longer engagement in substance use disorder (SUD) treatment can lead to better health outcomes and reductions in overall healthcare costs. Connecting individuals with post-detox SUD treatment and supportive services is a vital next step. Toward this end, the Massachusetts Medicaid program reimburses Community Support Program staff (CSPs) to facilitate these connections. CSP support services are typically paid on a units-of-service basis. As part of a larger study testing health care innovations, one large Medicaid insurer developed a new cadre of workers, called Recovery Support Navigators (RSNs). RSNs performed similar tasks to CSPs but received more extensive training and coaching and were paid an experimental case rate (a flat negotiated reimbursement). This sub-study evaluates the feasibility and impact of case rate payments for RSN services as compared to CSP services paid fee-for-service.

Methods

We analyzed claims data and RSN service data for a segment of the Massachusetts Medicaid population who had more than one detox admission in the last year and also engaged in post-discharge CSP or RSN services. Qualitative data from key informant interviews and Learning Collaboratives with CSPs and RSNs supplemented the findings.

Results

Clients receiving RSN services under the case rate utilized the service significantly longer than clients receiving CSP services under unit-based billing. This resulted in a lower average cost per member per month for RSN clients. However, when calculating total SUD treatment costs per member, RSN client costs were 50% higher than CSP client costs. Provider organizations employing RSNs successfully implemented case rate billing. Benefits included allowing time for outreach efforts and training and coaching, activities not paid under the unit-based system. Yet, RSNs identified staffing and larger systems level challenges to consider when using a case rate payment model.

Conclusions

Addiction is a chronic disease that requires long-term investments. Case rate billing offers a promising option for payers and providers as it promotes continued engagement with service providers. To fully realize the benefits of case rate billing, however, larger systems level changes are needed.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-020-05861-8.

Opioid overdose and inpatient care for substance use disorder care in Massachusetts

BACKGROUND

Inpatient treatment for substance use disorders is a collection of strategies ranging from short term detoxification to longer term residential treatment. How those with opioid use disorder (OUD) navigate this inpatient treatment system after an encounter for detoxification and subsequent risk of opioid-related overdose is not well understood.

METHODS

We used a comprehensive Massachusetts database to characterize the movement of people with OUD through inpatient care from 2013 to 2015, identifying admissions to inpatient detoxification, subsequent inpatient care, and opioid overdose while navigating treatment. We measured the person-years accumulated during each transition period to calculate rates of opioid-related overdose, and investigated how overdose differed in select populations.

RESULTS

Sixty-one percent of inpatient detoxification admissions resulted in a subsequent inpatient detoxification admission without progressing to further inpatient care. Overall, there were 287 fatal and 7337 non-fatal overdoses. Persons exiting treatment after detoxification had the greatest risk of overdose (17.3 per 100 person-years) compared to those who exited after subsequent inpatient care (ranging from 5.9 to 6.6 overdoses per 100 person-years). Non-Hispanic whites were most at risk for opioid related overdose with 16 overdoses per 100 person-years and non-Hispanic blacks had the lowest risk with 5 overdoses per 100 person-years.

CONCLUSIONS

The majority of inpatient detoxification admissions do not progress to further inpatient care. Recurrent inpatient detoxification admission is common, likely signifying relapse. Rather than functioning as the first step to inpatient care, inpatient detoxification might be more effective as a venue for implementing strategies to expand addiction services or treatment such as medications for opioid use disorder.

Methadone, Buprenorphine, or Detoxification for Management of Perinatal Opioid Use Disorder: A Cost-Effectiveness Analysis

OBJECTIVE

To estimate whether methadone, buprenorphine, or detoxification treatment is the most cost-effective approach to the management of opioid use disorder (OUD) during pregnancy.

METHODS

We created a decision analytic model that compared the cost effectiveness (eg, the marginal cost of the strategy in U.S. dollars divided by the marginal effectiveness of the strategy, measured in quality-adjusted life-years [QALYs]) of initiation of methadone, buprenorphine, or detoxification in treatment of OUD during pregnancy. Probabilities, costs, and utilities were estimated from the existing literature. Incremental cost-effective ratios for each strategy were calculated, and a ratio of $100,000 per QALY was used to define cost effectiveness. One-way sensitivity analyses and a Monte Carlo probabilistic sensitivity analysis were performed.

RESULTS

Under base assumptions, initiation of buprenorphine was more effective at a lower cost than either methadone or detoxification and thus was the dominant strategy. Buprenorphine was no longer cost effective if the cost of methadone was 8% less than the base-case estimate ($1,646/month) or if the overall costs of detoxification were 121% less than the base-case estimate for the detoxification cost multiplier, which was used to increase the values of both inpatient and outpatient management of detoxification by a factor of 2. Monte Carlo analyses revealed that buprenorphine was the cost-effective strategy in 70.5% of the simulations. Direct comparison of buprenorphine with methadone demonstrated that buprenorphine was below the incremental cost-effective ratio in 95.1% of simulations; direct comparison between buprenorphine and detoxification demonstrated that buprenorphine was below the incremental cost-effective ratio in 45% of simulations.

CONCLUSION

Under most circumstances, we estimate that buprenorphine is the cost-effective strategy when compared with either methadone or detoxification as treatment for OUD during pregnancy. Nonetheless, the fact that buprenorphine was not the cost-effective strategy in almost one out of three of simulations suggests that the robustness of our model may be limited and that further evaluation of the cost-effective approach to the management of OUD during pregnancy is needed.

Association of Mental Health Disorders With Health Care Utilization and Costs Among Adults With Chronic Disease

IMPORTANCE

A population-based study using validated algorithms to estimate the costs of treating people with chronic disease with and without mental health disorders is needed.

OBJECTIVE

To determine the association of mental health disorders with health care costs among people with chronic diseases.

DESIGN, SETTING, AND PARTICIPANTS

This population-based cohort study in the Canadian province of Alberta collected data from April 1, 2012, to March 31, 2015, among 991 445 adults 18 years and older with a chronic disease (ie, asthma, congestive heart failure, myocardial infarction, diabetes, epilepsy, hypertension, chronic pulmonary disease, or chronic kidney disease). Data analysis was conducted from October 2017 to August 2018.

EXPOSURES

Mental health disorder (ie, depression, schizophrenia, alcohol use disorder, or drug use disorder).

MAIN OUTCOMES AND MEASURES

Resource use, mean total unadjusted and adjusted 3-year health care costs, and mean total unadjusted 3-year costs for hospitalization and emergency department visits for ambulatory care-sensitive conditions.

RESULTS

Among 991 445 participants, 156 296 (15.8%) had a mental health disorder. Those with no mental health disorder were older (mean [SD] age, 58.1 [17.6] years vs 55.4 [17.0] years; P < .001) and less likely to be women (50.4% [95% CI, 50.3%-50.5%] vs 57.7% [95% CI, 57.4%-58.0%]; P < .001) than those with mental health disorders. For those with a mental health disorder, mean total 3-year adjusted costs were $38 250 (95% CI, $36 476-$39 935), and for those without a mental health disorder, mean total 3-year adjusted costs were $22 280 (95% CI, $21 780-$22 760). Having a mental health disorder was associated with significantly higher resource use, including hospitalization and emergency department visit rates, length of stay, and hospitalization for ambulatory care-sensitive conditions. Higher resource use by patients with mental health disorders was not associated with health care presentations owing to chronic diseases compared with patients without a mental health disorder (chronic disease hospitalization rate per 1000 patient days, 0.11 [95% CI, 0.11-0.12] vs 0.06 [95% CI, 0.06-0.06]; P < .001; overall hospitalization rate per 1000 patient days, 0.88 [95% CI, 0.87-0.88] vs 0.43 [95% CI, 0.43-0.43]; P < .001).

CONCLUSIONS AND RELEVANCE

This study suggests that mental health disorders are associated with substantially higher resource utilization and health care costs among patients with chronic diseases. These findings have clinical and health policy implications.

Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System

IMPORTANCE

Clinical experience suggests that there are substantial differences in patient complexity across medical specialties, but empirical data are lacking.

OBJECTIVE

To compare the complexity of patients seen by different types of physician in a universal health care system.

DESIGN, SETTING, AND PARTICIPANTS

Population-based retrospective cohort study of 2 597 127 residents of the Canadian province of Alberta aged 18 years and older with at least 1 physician visit between April 1, 2014 and March 31, 2015. Data were analyzed in September 2018.

EXPOSURES

Type of physician seeing each patient (family physician, general internist, or 11 types of medical subspecialist) assessed as non-mutually exclusive categories.

MAIN OUTCOMES AND MEASURES

Nine markers of patient complexity (number of comorbidities, presence of mental illness, number of types of physicians involved in each patient's care, number of physicians involved in each patient's care, number of prescribed medications, number of emergency department visits, rate of death, rate of hospitalization, rate of placement in a long-term care facility).

RESULTS

Among the 2 597 127 participants, the median (interquartile range) age was 46 (32-59) years and 54.1% were female. Over 1 year of follow-up, 21 792 patients (0.8%) died, the median (range) number of days spent in the hospital was 0 (0-365), 8.1% of patients had at least 1 hospitalization, and the median (interquartile range) number of prescribed medications was 3 (1-7). When the complexity markers were considered individually, patients seen by nephrologists had the highest mean number of comorbidities (4.2; 95% CI, 4.2-4.3 vs [lowest] 1.1; 95% CI, 1.0-1.1), highest mean number of prescribed medications (14.2; 95% CI, 14.2-14.3 vs [lowest] 4.9; 95% CI, 4.9-4.9), highest rate of death (6.6%; 95% CI, 6.3%-6.9% vs [lowest] 0.1%; 95% CI, <0.1%-0.2%), and highest rate of placement in a long-term care facility (2.0%; 95% CI, 1.8%-2.2% vs [lowest] <0.1%; 95% CI, <0.1%-0.1%). Patients seen by infectious disease specialists had the highest complexity as assessed by the other 5 markers: rate of a mental health condition (29%; 95% CI, 28%-29% vs [lowest] 14%; 95% CI, 14%-14%), mean number of physician types (5.5; 95% CI, 5.5-5.6 vs [lowest] 2.1; 95% CI, 2.1-2.1), mean number of physicians (13.0; 95% CI, 12.9-13.1 vs [lowest] 3.8; 95% CI, 3.8-3.8), mean days in hospital (15.0; 95% CI, 14.9-15.0 vs [lowest] 0.4; 95% CI, 0.4-0.4), and mean emergency department visits (2.6; 95% CI, 2.6-2.6 vs [lowest] 0.5; 95% CI, 0.5-0.5). When types of physician were ranked according to patient complexity across all 9 markers, the order from most to least complex was nephrologist, infectious disease specialist, neurologist, respirologist, hematologist, rheumatologist, gastroenterologist, cardiologist, general internist, endocrinologist, allergist/immunologist, dermatologist, and family physician.

CONCLUSION AND RELEVANCE

Substantial differences were found in 9 different markers of patient complexity across different types of physician, including medical subspecialists, general internists, and family physicians. These findings have implications for medical education and health policy.

National trends and characteristics of inpatient detoxification for drug use disorders in the United States

BACKGROUND

Prior studies indicate that the opportunity from detoxification to engage in subsequent drug use disorder (DUD) treatment may be missed. This study examined national trends and characteristics of inpatient detoxification for DUDs and explored factors associated with receiving DUD treatment (i.e., inpatient drug detoxification plus rehabilitation) and discharges against medical advice (DAMA).

METHODS

We analyzed inpatient hospitalization data involving the drug detoxification procedure for patients aged≥12 years (n = 271,403) in the 2003-2011 Nationwide Inpatient Samples. We compared the estimated rate and characteristics of inpatient drug-detoxification hospitalizations between 2003 and 2011 and determined demographic and clinical correlates of inpatient drug detoxification plus rehabilitation (versus detoxification-only) and DAMA (versus transfer to further treatment).

RESULTS

There was no significant yearly change in the population rate of inpatient drug-detoxification hospitalizations during 2003-2011. The majority of inpatient drug detoxification were patients aged 35-64 years, males, and those on Medicaid. Among inpatient drug-detoxification hospitalizations, only 13% received detoxification plus rehabilitation during inpatient care, and up to 14% were DAMA; the most commonly identified diagnoses were opioid use disorder (OUD; 75%) and non-addiction mental health disorders (48%). Being on Medicaid (vs. having private insurance) and having OUD (vs. no OUD) were associated with decreased odds of receiving detoxification plus rehabilitation, as well as increased odds of DAMA.

CONCLUSIONS

These findings suggest the presence of a potentially large detoxification-treatment gap for inpatient detoxification patients. They highlight the need for implementing DUD services to improve engagement in receiving further DUD treatment in order to improve recovery and health outcomes.