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Alcohol-impaired driving is a common and costly public health problem associated with alcohol misuse. This investigation aims to understand the role of social support and drinking motives in motivating alcohol-impaired drivers to reduce alcohol use. One hundred nineteen participants with a history of driving-while-intoxicated arrest were recruited from either a correctional treatment facility (n = 59) or the community (n = 60) and asked about their motivation to change alcohol use. Motivation to change was tested in relationships with two types of social support (i.e. Abstinence-Specific Social Support and General Social Support) and drinking motives (Coping, Enhancement, and Social Motives). The results showed: (1) only Abstinence-Specific Social Support was positively associated with motivation to change; (2) Coping and Social Motives had a negative association with motivation to change; (3) the impact of Abstinence-Specific Social Support on motivation to change was greater among those with a stronger Enhancement Motives. In other words, those who drink primarily for pleasure showed a greater increase in motivation to change when more Abstinence-Specific Social Support is available, compared to those with lower Enhancement Motives. The findings of this investigation contribute to our knowledge of the roles of communication in the rehabilitation of alcohol-impaired drivers. [ABSTRACT FROM AUTHOR]

Objective The purpose of this study was to examine the effect of pain severity on activity levels and physical disability in the context of high pain acceptance. We hypothesized that pain acceptance moderates the effect of pain severity on general activity and physical disability, such that at higher levels of acceptance, the deleterious effect of pain is mitigated. Methods Two hundred seven patients with chronic pain were recruited from three clinics in a large southwestern military treatment facility. Participants completed an anonymous self-report battery of standardized measures, including the Chronic Pain Acceptance Questionnaire, modified Oswestry Disability Index, and Pain Severity and General Activity subscales of the West Haven-Yale Multidimensional Pain Inventory. Results Chronic pain acceptance was found to significantly moderate relations between pain severity and general activity (b  =   0.0061, t (198) = 2.75, P = 0.007, 95% confidence interval [CI] = 0.002 to 0.011) and pain severity and disability (b  =   0.036, t (193) = –2.564, P = 0.011, 95% CI = –0.063 to –0.008). In the context of higher acceptance, the negative effect of pain on activity and disability appeared reduced. Conversely, in the context of low acceptance, the effect of pain on disability appeared accentuated at all levels of pain severity. Conclusions Higher acceptance mitigated both activity level and disability in a military-affiliated clinical sample of patients with chronic pain. Results further establish the role of acceptance in relation to functioning in a unique sample of people with chronic pain. These findings have implications for understanding and enhancing functioning in chronic pain populations. [ABSTRACT FROM AUTHOR]

Background: Social support has been linked to many therapeutic benefits (e.g., treatment retention, reduced posttreatment relapse) for individuals with alcohol use disorder. However, the positive impacts of social support have not been well understood in the context of alcohol‐impaired driving. This article examines the role of social support in motivating those with histories of driving while intoxicated (DWI) arrest to reduce alcohol use by testing 3 major models of social support: the Main‐Effects model, the Buffering model, and the Optimal Matching model. Methods: One hundred and nineteen participants with histories of DWI arrest were recruited from a correctional treatment facility (n = 59) and the local community (n = 60). Participants completed interviews to assess alcohol consumption, psychiatric/physical conditions, and psychosocial factors associated with drinking behavior (e.g., social support, alcohol‐related problems, and motivation to change). Hierarchical regression analyses were conducted to test the 3 models. Additionally, the relative magnitude of the effects of general and recovery‐specific social support was compared based on the approach of statistical inference of confidence intervals. Results: Overall social support was positively associated with some motivation to change (i.e., importance of change, confidence in change) among alcohol‐impaired drivers, supporting the Main‐Effects model. However, the impact of overall social support on motivation to change was not moderated by alcohol‐related problems of individuals arrested for DWI, which did not confirm the Buffering model. Last, recovery‐specific social support, rather than general social support, contributed to increasing motivation to reduce alcohol use, which supported the Optimal Matching model. Conclusions: These findings highlight the benefits of social support (i.e., increased motivation to change alcohol use) for alcohol‐impaired drivers. Regardless of the severity of alcohol‐related problems of alcohol‐impaired drivers, social support had direct positive impacts on motivation to change. In particular, the results underscore that social support can be more effective when it is matched to the recovery effort of individuals, which is consistent with the Optimal Matching model. [ABSTRACT FROM AUTHOR]

Background: Several studies have objectively quantified drinking through the use of Alcohol Monitoring System's (AMS) transdermal alcohol concentration (TAC) device known as SCRAM CAM. Criteria that AMS uses to detect drinking are known to be conservative and only reliably detect heavy drinking equivalent to 5 or more standard drinks. Our group has developed Research Rules used to process TAC data in a manner that will detect low-level and moderate drinking even though it is below the AMS criteria for detection.Methods: Sixteen male and 14 female paid research volunteers wore TAC monitors for 28 days in their natural environments and responded daily to text message prompts to self-report the previous day's drinking. Current analyses describe the Research Rules that we developed and how use of those rules impacts the detection of self-reported drinking treated as the standard in sensitivity/specificity analysis.Results: We observed 606 occurrences of positive TAC events over a total of 867 days and processed the TAC data to retain 345 as possible drinking events, even though AMS criteria confirmed drinking for only 163 of these events. The kinds of TAC events removed or retained by our rules are illustrated as cases of low and moderate drinking days that were detected by our rules but not by the conservative AMS criteria. AMS-confirmed TAC events have a high specificity (99.8%) to detect primarily heavy drinking, but have a poor sensitivity to detect lower-level drinking and a poor specificity as an indicator of alcohol abstinence. In contrast, our Research Rules detected 100% of TAC events detected by AMS but also detected 31% of the lower-level drinking events not detected by AMS, with 91% specificity.Conclusions: Reliance upon the AMS criteria for alcohol detection affords a high specificity for detection of heavy drinking but is a poor indicator of abstinence rates. In contrast, use of our Research Rules provides more sensitive means to quantify either any drinking or low-moderate levels of drinking while still maintaining good specificity. [ABSTRACT FROM AUTHOR]

Introduction: In 2017, we launched the "B-Team" (buprenorphine team), the first hospitalist-led opioid use disorder (OUD) treatment program in Texas. Based on initial success, we obtained funding from Texas Health & Human Services to expand the model to other hospitals in Texas through the Support Hospital Opioid Use Disorder Treatment (SHOUT) Texas program., Methods: This is a mixed methods study of the implementation of the SHOUT program, which is an OUD treatment intervention, in different hospitals in Texas. Our implementation approach combined training, tailoring, and technical assistance following the Replicating Effective Programs (REP) strategy with statewide telementoring delivered via Project ECHO. To evaluate the reach, adoption, and impact of SHOUT Texas, we assessed: 1) participating hospitals (adoption); 2) patients screened for OUD (impact); 3) patients started on medications for OUD (impact); 4) patients discharged with coordinated outpatient care (impact); 5) providers and staff trained via ECHO (reach); and 6) satisfaction with ECHO training (impact). Additionally, semi-structured interviews were conducted with key stakeholders at expansion sites to identify strengths and weaknesses of the implementation strategy and supports and barriers to successful implementation. Rapid qualitative analysis was completed by a team of analysts who transcribed and summarized interviews to identify key domains of interest and emergent themes., Results: Between 2020 and 2023, the SHOUT Texas program expanded to three additional Texas hospital sites, resulting in 3065 hospitalized adult patients starting treatment for OUD. More than 2500 interprofessional clinicians (physicians, nurses, physician assistants, social workers) received SHOUT training regarding inpatient initiation of OUD treatment, with 241 attending at least one hour-long Project ECHO session. Eight key stakeholders at expansion sites were interviewed. Successful components of the SHOUT program included training resources, in-person launches, and collaboration with specialized addiction treatment subject matter experts. Challenges included identifying outpatient follow-up, pharmacy and medication constraints, and nursing education barriers. Interviews also identified lessons learned, advice to other hospitals, and next steps to build capacity., Conclusions: Implementation of the SHOUT Texas model across diverse hospital settings using REP and Project ECHO resulted in significant provider engagement and rapid increase in the number of patients initiating OUD treatment during hospitalization. Lessons learned from this novel approach may be applicable in other states, particularly those that have not expanded Medicaid., Competing Interests: Declaration of competing interest The authors do not have any relevant financial conflicts of interests related to this work., (Copyright © 2024 Elsevier Inc. All rights reserved.)