Inpatient hospitalization for substance use disorders one year after residential rehabilitation: predictors among US veterans

An Analysis of Irregular Discharges From Residential Treatment Programs in the Department of Veterans Affairs Health Care System

INTRODUCTION

Veteran populations are frequently diagnosed with mental health conditions such as substance use disorder and PTSD. These conditions are associated with adverse outcomes including a higher risk of suicide. The Veterans Health Administration (VHA) has designed a robust mental health system to address these concerns. Veterans can access mental health treatment in acute inpatient, residential, and outpatient settings. Residential programs play an important role in meeting the needs of veterans who need more structure and support. Residential specialty types in the VHA include general mental health, substance use disorder, PTSD, and homeless/work programs. These programs are affiliated with a DVA facility (i.e., medical center). Although residential care can improve outcomes, there is evidence that some patients are discharged from these settings before achieving the program endpoint. These unplanned discharges are referred to using language such as against medical advice, self-discharge, or irregular discharge. Concerningly, unplanned discharges are associated with patient harm including death by suicide. Although there is some initial evidence to locate factors that predict irregular discharge in VHA residential programs, no work has been done to examine features associated with irregular discharge in each residential specialty.

METHODS

We conducted a retrospective cohort study of patients who were discharged from VHA residential treatment programs between January 2018 and September 2022. We included the following covariates: Principal diagnosis, gender, age, race/ethnicity, number of physical health conditions, number of mental health diagnostic categories, marital status, risk of homelessness, urbanicity, and service connection. We considered two discharge types: Regular and irregular. We used logistic regression to determine the odds of irregular discharge using models stratified by bed specialty as well as combined odds ratios and 95% CIs across program specialties. The primary purposes are to identify factors that predict irregular discharge and to determine if the factors are consistent across bed specialties. In a secondary analysis, we calculated facility-level adjusted rates of irregular discharge, limiting to facilities with at least 50 discharges. We identified the amount of residual variation that exists between facilities after adjusting for patient factors.

RESULTS

A total of 279 residential programs (78,588 patients representing 124,632 discharges) were included in the analysis. Substance use disorder and homeless/work programs were the most common specialty types. Both in the overall and stratified analyses, the number of mental health diagnostic categories and younger age were predictors of irregular discharge. In the facility analysis, there was substantial variation in irregular discharge rates across residential specialties even after adjusting for all patient factors. For example, PTSD programs had a mean adjusted irregular discharge rate of 15.3% (SD: 7.4; range: 2.1-31.2; coefficient of variation: 48.4%).

CONCLUSIONS

Irregular discharge is a key concern in VHA residential care. Patient characteristics do not account for all of the observed variation in rates across residential specialty types. There is a need to develop specialty-specific measures of irregular discharge to learn about system-level factors that contribute to irregular discharge. These data can inform strategies to avoid harms associated with irregular discharge.

Perspectives of homeless veterans living with substance use disorders (SUD) and mental illness

Upon returning home from the military, America's veterans face complex challenges such as homelessness and substance use disorders (SUD). Veterans who have experienced SUDs and homelessness are more likely to struggle with depression and suicidal behaviors. This study aims to understand homeless veterans' lived experiences of their everyday life and social interactions. We used semi-structured interviews to conduct a phenomenological study of 14 homeless veterans with known SUDs living in the Baltimore-Washington D.C. Metropolitan area. A Social-Ecological Model (SEM) was used to create themes, a priori, then used open coding analytic methods to identify emerging themes. Two-thirds of veterans used illicit drugs or abused alcohol, and nearly all reported a history of depression or anxiety. Suicidal behaviors were present in a third of all veterans. We found that veteran homelessness and substance use are strongly associated with emotional and physical trauma suffered while on active duty. Consequently, once homeless, a veteran's community may encourage and exacerbate SUDs, thus impeding a path toward sobriety. Homeless veterans who have struggled with SUDs and later experience a death in their family often relapse to substance use. Deeply exploring a veteran's relationships with family, friends, and their immediate community may reveal opportunities to address these issues using healthcare and community interventions.

Does substance use disorder treatment completion reduce the risk of treatment readmission in Chile?

BACKGROUND

Recovery from substance use disorders (SUD) often entails multiple treatment episodes, which clashes with a context of a treatment system with limited resources and long waiting. Treatment retention and completion have been pointed out as key elements for sustainable achievement; however, most of the evidence generated focuses on opioids and injected substances, which is hardly transferable to the Latin American context.

OBJECTIVES

This study aims to estimate the effect of SUD treatment completion on the risk of being readmitted to a SUD treatment in Chile.

METHODS

We conducted a retrospective analysis on a database of 107,559 treatment episodes from 85,048 adult patients admitted to SUD treatment during 2010-2019 in Chile. We adjusted two separate Prentice Williams and Petersen Gap Time models, to explore the association between treatment completion (vs. non-completion) and up to the third treatment readmission among residential and ambulatory modalities while controlling for time-varying covariates. To examine whether the effect of treatment completion differs between events, we included an interaction term with the stratification variable.

RESULTS

We found that completing the treatment cuts readmission risk for the first event by 17% (Average Hazard Ratio [95% CI] = 0.83 [0.78, 0.88]) and by 14% for the second entry (Average Hazard Ratio [95% CI] = 0.86 [0.78, 0.94]) in ambulatory treatments. We did not find evidence that completing a treatment reduces the readmission risk for residential treatments or third attempts in ambulatory ones.

CONCLUSION

Treatment completion was associated with benefits in cutting readmission risk for the first and second episodes in ambulatory treatments among Chilean adults. It is important to explore different mechanisms than treatment retention for residential treatments.

Threats to external validity in the neuroprediction of substance use treatment outcomes

Background: Tools predicting individual relapse risk would invaluably inform clinical decision-making (e.g. level-of-care) in substance use treatment. Studies of neuroprediction - use of neuromarkers to predict individual outcomes - have the dual potential to create such tools and inform etiological models leading to new treatments. However, financial limitations, statistical power demands, and related factors encourage restrictive selection criteria, yielding samples that do not fully represent the target population. This problem may be further compounded by a lack of statistical optimism correction in neuroprediction research, resulting in predictive models that are overfit to already-restricted samples.Objectives: This systematic review aims to identify potential threats to external validity related to restrictive selection criteria and underutilization of optimism correction in the existing neuroprediction literature targeting substance use treatment outcomes.Methods: Sixty-seven studies of neuroprediction in substance use treatment were identified and details of sample selection criteria and statistical optimism correction were extracted.Results: Most publications were found to report restrictive selection criteria (e.g. excluding psychiatric (94% of publications) and substance use comorbidities (69% of publications)) that would rule-out a considerable portion of the treatment population. Furthermore, only 21% of publications reported optimism correction.Conclusion: Restrictive selection criteria and underutilization of optimism correction are common in the existing literature and may limit the generalizability of identified neural predictors to the target population whose treatment they would ultimately inform. Greater attention to the inclusivity and generalizability of addiction neuroprediction research, as well as new opportunities provided through open science initiatives, have the potential to address this issue.

Substance Use Relapse Among Veterans at Termination of Treatment for Substance Use Disorders

INTRODUCTION

Military veterans continue to struggle with addiction even after receiving treatment for substance use disorders (SUDs). Identifying factors that may influence SUD relapse upon receiving treatment in veteran populations is crucial for intervention and prevention efforts. The purpose of this study was to examine risk factors that contribute to SUD relapse upon treatment completion in a sample of U.S. veterans using logistic regression and classification tree analysis.

MATERIALS AND METHODS

Data from the 2017 Treatment Episode Data Set-Discharge (TEDS-D) included 40,909 veteran episode observations. Descriptive statistics and multivariable logistic regression analysis were conducted to determine factors associated with SUD relapse after treatment discharge. Classification trees were constructed to identify high-risk subgroups for substance use after discharge from treatment for SUDs.

RESULTS

Approximately 94% of the veterans relapsed upon discharge from outpatient or residential SUD treatment. Veterans aged 18-34 years old were significantly less likely to relapse than the 35-64 age group (odds ratio [OR] 0.73, 95% confidence interval [CI]: 0.66, 0.82), while males were more likely than females to relapse (OR 1.55, 95% CI: 1.34, 1.79). Unemployed veterans (OR 1.92, 95% CI: 1.67, 2.22) or veterans not in the labor force (OR 1.29, 95% CI: 1.13, 1.47) were more likely to relapse than employed veterans. Homeless vs. independently housed veterans had 3.26 (95% CI: 2.55, 4.17) higher odds of relapse after treatment. Veterans with one arrest vs. none were more likely to relapse (OR 1.52, 95% CI: 1.19, 1.95). Treatment completion was critical to maintain sobriety, as every other type of discharge led to more than double the odds of relapse. Veterans who received care at 24-hour detox facilities were 1.49 (95% CI: 1.23, 1.80) times more likely to relapse than those at rehabilitative/residential treatment facilities. Classification tree analysis indicated that homelessness upon discharge was the most important predictor in SUD relapse among veterans.

CONCLUSION

Aside from numerous challenges that veterans face after leaving military service, SUD relapse is intensified by risk factors such as homelessness, unemployment, and insufficient SUD treatment. As treatment and preventive care for SUD relapse is an active field of study, further research on SUD relapse among homeless veterans is necessary to better understand the epidemiology of substance addiction among this vulnerable population. The findings of this study can inform healthcare policy and practices targeting veteran-tailored treatment programs to improve SUD treatment completion and lower substance use after treatment.

The Individualized Addictions Consultation Team Residential Program: A Creative Solution for Integrating Care for Veterans With Substance Use Disorders Too Complex for Other Residential Treatment Programs

The Veterans Affairs (VA) healthcare system is one of the main providers of substance use treatment within the United States, and many veterans with a substance use disorder (SUD) present with co-occurring diagnoses or other concerns. Though there has been increasing recognition of the need for integration of treatments for SUD and comorbid mental illness, there have been limited studies of such programs, particularly within the VA healthcare system. To address that gap in the literature, this paper examines treatment outcomes in an integrated model of dual diagnosis residential treatment for veterans: the Individualized Addictions Consultation Team (I-ACT) program. Methods: The current paper draws from clinical outcome evaluation data within a residential treatment program at a large Midwestern VA Medical Center (VAMC). The I-ACT program provides residential substance abuse treatment to individuals with a primary SUD and other factors that interfere with the successful completion of a traditional residential rehabilitation program. Between 2017 and 2018, 130 individuals (97.7% men, average age = 60.62 years) entered the I-ACT program. As part of standard measurement-based care, veterans were administered the Brief Addiction Monitor and the Patient Health Questionnaire-9 at admission and discharge. Results: Most individuals (74.6%) who entered I-ACT completed the residential program (average length of stay 34.2 days). Scores on both measures significantly decreased from intake to discharge (p < .001), with the change in depression scores indicating clinically significant improvement. Those with an additional mental health diagnosis achieved similar decreases in substance use symptoms and had lower depression scores at discharge than those with a SUD alone. Conclusions: Our results indicate that even for veterans who may not benefit from traditional SUD treatment programs, a more integrated and personalized residential program can be effective.

A Retrospective 4-year Outcome Study of Veterans Admitted to an Acute Inpatient Detoxification Unit for Opioid Use Disorder

BACKGROUND AND OBJECTIVES

With 47 600 opioid-related deaths in 2017, the yearly deaths have surpassed the HIV/AIDS peak yearly death rates. Residential rehabilitation (RR) and medication-assisted treatments (MAT) are commonly utilized treatments for opioid use disorder (OUD).

METHODS

All patients (n = 182) who were admitted to the Boston Veterans Health Administration for inpatient admission for medically supervised opioid withdrawal in 2015 were included. Deceased patients were matched 1:1, based on age and sex to living patients from the 182-patient cohort. Nationwide electronic medical records were analyzed from 2015 through 2018. Via multilinear regression, risk factor correlation to all-cause mortality (the dependent variable) was our main outcome. Primary risk factors included recurrent admissions for medically supervised withdrawals and exposure to RR or MAT. Secondary risk factors were opioid use traits, nonopioid drug use, partner support, education level, homelessness, and employment.

RESULTS

18.4% (n = 34) were deceased by the time of follow-up-equivalent to 4760 deaths per 100 000 person-years. A total of 61.8% (n = 21) of these deaths were directly related to opioid use. Completion of RR correlated with lower predicted mortality (β = -8.21, P = 0.03). In contrast, attending RR but not completing correlated with higher predicted mortality rate (β = 6.51, P = 0.046). Concurrent benzodiazepine use (β = 8.99, P = 0.047), generalized anxiety disorder (β = 7.13, P = 0.03) and major depressive disorder (β = 5.44, P = 0.04) increased risk of death.

CONCLUSION AND SCIENTIFIC SIGNIFICANCE

OUD carries a shockingly high lethality in Veterans requiring inpatient admission for opioid withdrawal, particularly when there are untreated comorbid psychiatric conditions. RR and MAT are correlated to lower all-cause mortality in this population and should be highly utilized. Given the extremely high mortality, intensive system-wide interventions are needed for the care of Veterans with OUD. On the basis of the reduced predicted mortality with RR and MAT, further research into novel MATs as well as refining RR programs should be a major focus. (Am J Addict 2019;28:318-323).

Association of Methadone Treatment With Substance-Related Hospital Admissions Among a Population in Canada With a History of Criminal Convictions

IMPORTANCE

People with criminal histories experience high rates of opioid dependence and are frequent users of acute health care services. It is unclear whether methadone adherence prevents hospitalizations.

OBJECTIVE

To compare hospital admissions during medicated and nonmedicated methadone periods.

DESIGN, SETTING, AND PARTICIPANTS

A retrospective cohort study involving linked population-level administrative data among individuals in British Columbia, Canada, with provincial justice contacts (n= 250 884) and who filled a methadone prescription between April 1, 2001, and March 31, 2015. Participants were followed from the date of first dispensed methadone prescription until censoring (date of death, or March 31, 2015). Data analysis was conducted from May 1 to August 31, 2018.

EXPOSURES

Methadone treatment was divided into medicated (methadone was dispensed) and nonmedicated (methadone was not dispensed) periods and analyzed as a time-varying exposure.

MAIN OUTCOME AND MEASURES

Adjusted hazard ratios (aHRs) of acute hospitalizations for any cause and cause-specific (substance use disorder [SUD], non-substance-related mental disorders [NSMDs], and medical diagnoses [MEDs]) were estimated using multivariable Cox proportional hazards regression.

RESULTS

A total of 11 401 people (mean [SD] age, 34.9 [9.4] years; 8230 [72.2%] men) met inclusion criteria and were followed up for a total of 69 279.3 person-years. During a median follow-up time of 5.5 years (interquartile range, 2.8-9.1 years), there were 19 160 acute hospital admissions. Dispensed methadone was associated with a 50% lower rate of hospitalization for any cause (aHR, 0.50; 95% CI, 0.46-0.53) during the first 2 years (≤2.0 years) following methadone initiation, demonstrating significantly lower rates of admission for SUD (aHR, 0.32; 95% CI, 0.27-0.38), NSMD (aHR, 0.41; 95% CI, 0.34-0.50), and MED (aHR, 0.57; 95% CI, 0.52-0.62). As duration of time increased (2.1 to ≤5.0 years; 5.1 to ≤10.0 years), methadone was associated with a significant but smaller magnitude of effect: SUD (aHR, 0.43; 95% CI, 0.36-0.52; aHR, 0.47; 95% CI, 0.37-0.61), NSMD (aHR, 0.51; 95% CI, 0.41-0.64; aHR, 0.60; 95% CI, 0.47-0.78), and MED (aHR, 0.71; 95% CI, 0.65-0.77; aHR, 0.85; 95% CI, 0.76-0.95).

CONCLUSIONS AND RELEVANCE

In this study, methadone was associated with a lower rate of hospitalization among a large cohort of Canadian individuals with histories of convictions and prevalent concurrent health and social needs. Practices to improve methadone adherence are warranted.