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Introduction: Hospitalizations are common among people with opioid use disorder (OUD). While hospitalizations represent opportunities to engage patients and offer treatment, they are also destabilizing events associated with an increased risk of death in the post-hospitalization period.
Methods: We conducted a retrospective cohort study within the Veterans Health Administration including all Veterans with OUD who experienced at least one medical hospitalization between January 2011 and December 2021 (part of CTN-0087). We examined which patient-level clinical and demographic factors were associated with all-cause and opioid-related mortality within 0-30 and 0-365 days following an index medical hospitalization.
Results: The cohort included 90,920 Veterans with OUD who experienced one or more medical hospitalizations during the study period. Median age was 58 years, and 93% were male. Older age (adjusted Odds Ratio [aOR] range 30d: 1.50-2.66; 1y: 1.58-3.28), higher medical complexity (aOR range 30d: 2.11-6.23; 1y: 1.96-7.34), multiple substance use disorders (SUD; aOR 30d: 1.81 (95% CI 1.44, 2.27) 1y: 1.48 [95% CI 1.36, 1.62]), and length of hospitalization (aOR 30d: 6.78 [95% CI 4.85, 9.47] 1y: 3.45 [95% CI 2.96, 4.01]) were associated with increased all-cause mortality following hospitalization. Homelessness (aOR 30d: 0.75 [95% CI 0.63, 0.90]; 1y: 0.85 [95 % CI 0.80, 0.91]), depression (aOR 1y: 0.89 [95 % CI 0.84, 0.95]), bipolar disorder (aOR 1y: 0.88 [95% CI 0.82, 0.94]), buprenorphine receipt (aOR 1y: 0.79 [95% CI 0.69, 0.91]), and service connection (aOR 30d: 0.76 [95% CI 0.60, 0.97] 1y: 0.64 [95 % CI 0.59, 0.70]) were associated with reduced all-cause mortality. Younger age (aOR range 30d: 3.21-5.24; 1y: 2.71-2.38), homelessness (aOR 1y: 1.40 [95% CI 1.20, 1.63]), and multiple SUD (aOR 1y: 1.78 [95% CI 1.33, 2.38]) were among factors associated with increased opioid-related mortality after hospitalization. Black race (aOR 1y: 0.61 [95% CI 0.50, 0.74]) and higher service connection (aOR 30d: 0.41 [95 % CI 0.21, 0.81]; 1y: 0.53 [95% CI 0.43-0.66]) were associated with reduced opioid-related mortality after hospitalization.
Conclusions: Several patient-level factors were associated with increased all-cause mortality (e.g., length of hospital stay), reduced all-cause mortality (e.g., homelessness), increased opioid-related mortality (e.g., multiple SUD), and reduced opioid-related mortality (e.g., service connection) after hospitalization. This information provides a roadmap for future development and study of tailored supports and risk stratification tools to enhance post-hospitalization transitional care for patients with OUD.
Related protocols: CTN-0087
Aim: This study: (1) estimated the effect of early discontinuation of medication for opioid use disorder (MOUD) on overdose probability and (2) measured the relationship between patient characteristics and early discontinuation probability for each MOUD type.
Design, setting and participants: This was a retrospective cohort using electronic health record data from the US Veterans Healthcare Administration. Participants were veterans initiating MOUD with buprenorphine (BUP), methadone (MET) or extended-release naltrexone (XR-NTX) from fiscal years 2012-19. A total of 39 284 veterans met eligibility with 22 721 (57.8%) initiating BUP, 12 652 (32.2%) initiating MET and 3911 (10.0%) initiating XR-NTX.
Measurements: Measurements (1) determined whether the veteran experienced an overdose in the 365 days after MOUD initiation (primary) and (2) early discontinuation of MOUD, defined as discontinuation before 180 days (secondary). We assumed that unobserved patient characteristics would jointly influence the probability of discontinuation and overdose. and estimated the joint distribution with a bivariate probit model.
Findings: We found that 9.0% of BUP initiators who experienced an overdose above the predicted 3.9% had no veteran-discontinued BUP early; findings for XR-NTX were similar, with 12.2% of initiators overdosing above the predicted 4.5%, but this was statistically inconclusive. We found no relationship between early discontinuation and overdose for MET initiators, probably due to the high risk of both events. The patient characteristics included in our post-estimation exploratory analysis of early discontinuation varied by MOUD type, with between 14 (XR-NTX) and 25 (BUP) tested. The only characteristics with at least one level showing a statistically significant change in probability of early discontinuation for all three MOUD types were geography and prior-year exposure to psychotherapy, although direction and magnitude varied.
Conclusions: Early discontinuation of buprenorphine, and probably extended-release naltrexone, appears to be associated with a greater probability of experiencing a fatal or non-fatal overdose among US veterans receiving medication for opioid use disorder (MOUD); methadone does not show the same association. There is no consistent set of characteristics among early discontinuers by MOUD type.
Related protocols: CTN-0142
The Brief Addiction Monitor-Revised (BAM-R) is a widely used, 17-item assessment of substance use, risk, and protective factors associated with recovery from substance use disorders. Despite wide adoption in the U.S. Department of Veterans Affairs (VA) and recommendations for use in measurement-based care (MBC), administration may not be feasible in many MBC settings due to time constraints. The purpose of this study, part of CTN-0106 (Derivation and Validation of New Measurement-Based Care Tools Derived from the Brief Addiction Monitor), was to derive a shortened version of the BAM-R for use in fast-paced healthcare settings.
BAM-R data from 32,002 Veterans were obtained through the VA’s Corporate Data Warehouse. We used logistic regression models to identify items for removal based on prediction of two clinical outcomes (90-day substance use disorder (SUD) treatment retention and 12-month mortality) and item-level sensitivity to change during substance use treatment.
Although no intake BAM-R items predicted SUD treatment retention or mortality, effect sizes for item-level sensitivity to change during substance use treatment varied from small to large. Seven items were judged as relevant for MBC of SUD. Among all BAM-R items, Heavy Alcohol Use, Self-Help, Drug Use, Craving, and Mood items demonstrated the greatest magnitude of sensitivity to change.
Conclusions: Although additional research is recommended before a shortened BAM-R can be implemented in non-specialty MBC settings, we identified 5 BAM-R items with perceived clinical utility and scores that demonstrated evidence of sensitivity to change. Shortening the BAM-R increases feasibility of use, though more work is needed to optimize measurement for SUD MBC.
Related protocols: CTN-0106
Symptom counts as the basis for Post-Traumatic Stress Disorder (PTSD) diagnoses in the DSM presume each symptom is equally reflective of underlying disorder severity. However, the “equal weight” assumption fails to fit PTSD symptom data when tested. The present study, funded in part by CTN-0015, developed an enhanced PTSD diagnosis based on (a) a conventional PTSD diagnosis from a clinical interview and (b) an empirical classification of full PTSD that reflected the relative clinical weights of each symptom.
Baseline structured interview data from Project Harmony (N = 2658) was used. An enhanced diagnosis for full PTSD was estimated using an empirical threshold from moderated nonlinear factor analysis (MNLFA) latent PTSD scale scores, in combination with a full conventional PTSD diagnosis based on interview data.
One in 4 patients in the sample had a PTSD diagnosis that was inconsistent with their empirical PTSD grouping, such that the enhanced diagnostic standard reduced the diagnostic discrepancy rate by 20%. Veterans, and in particular female Veterans, were at greatest odds for discrepancy between their underlying PTSD severity and DSM diagnosis.
Conclusions: Psychometric methodologies that differentially weight symptoms can complement DSM criteria and may serve as a platform for symptom prioritization for diagnoses in future editions of DSM.
Related protocols: CTN-0015