Recovery Barrier Characterizations by Hospitalized Patients with Substance Use Disorders: Results from a Randomized Clinical Study on Inpatient Peer Recovery Coaching.

Patients hospitalized with medical complications from substance use disorder (SUD) encounter unique health problems that may complicate their recovery. Recovery barriers are not well understood in this population. The study objective is to characterize recovery barriers in this patient population. Participants (n = 96) in this six-month longitudinal study were randomized to a peer recovery coaching intervention or standard of care. The primary outcome measures were qualitative, open-ended questions addressing factors interfering with participants' recovery. Data were analyzed using content analysis. Themes were identified a priori using past research on recovery capital domains; these seven barriers were (1) psychological health difficulties, (2) physical health challenges, (3) lack of social support, (4) insufficient treatment or recovery support to maintain sobriety, (5) environmental and housing concerns, (6) deficits in coping skills, and (7) lack of meaningful activities. At baseline, the most common recovery barriers were in the environment and housing (28.1%), psychological health (27.1%), and social support (22.9%) domains. At six-month follow-up, participants were asked to describe barriers they felt they had made improvement in over the last six months. The primary themes that participants reported improvements in were treatment and recovery support to maintain sobriety (52.1%), coping skills (35.4%), and social support (27.1%). Hospitalization and participation in a randomized controlled trial may be a turning point in which to address recovery barriers for patients hospitalized with complications from SUD.

Examining Internalizing Mental Health Correlates of Addiction Severity in Patients Hospitalized With Medical Complications From Substance Use Disorder.

Background: Comorbidities between Substance Use Disorder (SUD) and mental health disorders are highly prevalent, yet there remains a lack of information regarding how mental health conditions may affect addiction severity. Consequently, this study sought to investigate the relationship between internalizing disorders (anxiety and mood disorders) and addiction severity in patients hospitalized for SUD-related medical complications. Individual difference predictors and history of prior treatment for SUD were also examined. Methods: Participants (N = 200) were hospitalized patients who consented to receive peer-based recovery support services for their SUD. To be eligible for the study, participants needed to have a SUD diagnosis due to alcohol, opioids, methamphetamine, cocaine, or a combination of these substances (polysubstance use). Participants completed self-report questionnaires regarding demographics, mental health history, prior SUD treatment, and addiction severity (Drug and Alcohol Screening Test; DAST-10) during their hospitalization. Results: Results showed that patients with Generalized Anxiety Disorder (GAD) (M = 6.68, SD = 2.97) had greater addiction severity compared to those without GAD (M = 5.41, SD = 3.34), P = .016. Addiction severity results stratified by SUD type showed that the relationship was significant among patients with Alcohol Use Disorder (P = .014), but not among those with other SUD types (Ps > .27). Major Depressive Disorder (MDD) and Post-Traumatic Stress Disorder (PTSD) were not linked to addiction severity. Among those with GAD, 81.4% had previously been to treatment compared to only 53.1% of those without GAD, P = .010. The only participant characteristic linked with addiction severity was insurance status. Conclusions: GAD may represent a risk factor for advanced alcohol addiction trajectories, including greater addiction severity and severe health complications requiring inpatient hospitalization.

Changes in alcohol use during hepatitis C treatment in persons who inject drugs.

People who inject drugs (PWID) are a vulnerable population at high risk for acquiring hepatitis C virus (HCV) and frequently suffer from comorbid alcohol use. This study examines the characteristics and correlates of alcohol use among study participants, the association between alcohol consumption and sustained virologic response (SVR) in patients receiving HCV treatment, changes in drinking behaviours during HCV treatment and associations of drinking over time with specific models of HCV treatment. Participants were 150 PWID with HCV who were receiving opioid agonist therapy (OAT) and enrolled in a randomized clinical trial exploring the effectiveness of three models of care for HCV treatment. The addiction severity index was the primary measure of alcohol consumption. Days of alcohol intake were evaluated longitudinally and across three treatment groups. At baseline, 31% (47/150) reported having at least one drink in the last 30 days including 24% (36/150) who reported drinking to intoxication in the last 30 days. There was no difference in SVR rates between groups. There was a significant decrease in overall days of drinking from baseline (7.78 ± 7.86) to follow-up at Week 24 (5.78 ± 8.83) (p = 0.041), but there were no significant changes among those who drank to intoxication; modified directly observed therapy (mDOT) was the only group with a significant decline in days of alcohol consumption (p = 0.041). In this cohort of PWID on OAT, baseline alcohol consumption did not affect SVR rates. HCV treatment was overall associated with decreased alcohol consumption. In particular, mDOT was associated with decreased alcohol consumption. Given the additive effect of alcohol and HCV on the development of cirrhosis, studies should be done to investigate the complimentary effects of the mDOT model of care on alcohol cessation.

Acute Care Utilization After Recovery Coaching Linkage During Substance-Related Inpatient Admission: Results of Two Randomized Controlled Trials.

BACKGROUND: For patients with substance use disorder (SUD), a peer recovery coach (PRC) intervention increases engagement in recovery services; effective support services interventions have occasionally demonstrated cost savings through decreased acute care utilization. OBJECTIVE: Examine effect of PRCs on acute care utilization. DESIGN: Combined results of 2 parallel 1:1 randomized controlled trials. PARTICIPANTS: Inpatient adults with substance use disorder INTERVENTIONS: Inpatient PRC linkage and follow-up contact for 6 months vs usual care (providing contact information for SUD resources and PRCs) MAIN MEASURES: Acute care encounters (emergency and inpatient) 6 months before and after enrollment; encounter type by primary diagnosis code category (mental/behavioral vs medical); 30-day readmissions with Lace+ readmission risk scores. KEY RESULTS: A total of 193 patients were randomized: 95 PRC; 98 control. In the PRC intervention, 66 patients had a pre-enrollment acute care encounter and 56 had an encounter post-enrollment, compared to the control group with 59 pre- and 62 post-enrollment (odds ratio [OR] = -0.79, P = 0.11); there was no significant effect for sub-groups by encounter location (emergency vs inpatient). There was a significant decrease in mental/behavioral ED visits (PRC: pre-enrollment 17 vs post-enrollment 10; control: pre-enrollment 13 vs post-enrollment 16 (OR = -2.62, P = 0.02)) but not mental/behavioral inpatient encounters or medical emergency or inpatient encounters. There was no significant difference in 30-day readmissions corrected for Lace+ scores (15.8% PRC vs 17.3% control, OR = 0.19, P = 0.65). CONCLUSIONS: PRCs did not decrease overall acute care utilization but may decrease emergency encounters related to substance use. TRIAL REGISTRATION: ClinicalTrials.gov (NCT04098601, NCT04098614).

Inpatient link to peer recovery coaching: Results from a pilot randomized control trial.

BACKGROUND: Few individuals hospitalized with Substance Use Disorder (SUD) complications participate in recovery support services after discharge. Peer recovery coaching represents one potential new method for promoting recovery. METHODS: A six-month prospective randomized controlled trial compared outcomes between the standard of care and a physician-initiated recovery coaching intervention. The primary outcome measure was engagement in recovery support services, and the secondary outcome measures were substance use frequency and self-reported physical and mental health using the SF-12 survey. Participants (N = 98) were eligible if they were identified by a healthcare provider as having a SUD and were hospitalized due to SUD complications. RESULTS: Engagement rate over the six-month post-discharge time period was higher for participants in the recovery coaching intervention (84 %, 95 % CI: 78%-91%) compared to the standard of care control condition (34 %, 95 % CI: 25 %-44 %), log OR = 28.59, p < .001. No overall group differences in substance use frequency (p = .80), self-reported physical (p = .69) or mental (p = .89) health were observed. CONCLUSION: An inpatient linkage to recovery coaching services improves engagement rates and can feasibly be implemented in a single-center inpatient service. This intervention is promising for promoting both short-term and long-term engagement in recovery support services.

Factors associated with mortality in febrile patients in a government referral hospital in the Kenema district of Sierra Leone.

There is a paucity of data on the etiologies and outcomes of febrile illness in rural Sierra Leone, especially in the Lassa-endemic district of Kenema. We conducted a retrospective study of patients with subjective or documented fever (T ≥ 38.0°C) who were admitted to a rural tertiary care hospital in Kenema between November 1, 2011 and October 31, 2012. Of 854 patients admitted during the study period, 429 (50.2%) patients had fever on admission. The most common diagnoses were malaria (27.3%), pneumonia (5.1%), and Lassa fever (4.9%). However, 53.4% of febrile patients had no diagnosis at discharge. The in-hospital mortality rate was 18.9% and associated with documented temperature ≥ 38.0°C (adjusted odds ratio [AOR] = 2.89, P = 0.001) and lack of diagnosis at discharge (AOR = 2.04, P = 0.03). Failure to diagnose the majority of febrile adults and its association with increased mortality highlight the need for improved diagnostic capacity to improve patient outcomes.