Enrollment of Spanish-speaking Latinx adults in clinical trials: Five lessons learned from a randomized study in substance use treatment.

Latinx individuals are the largest ethnic minoritized group in the United States (US) at 19% of the population. However, they remain underrepresented in clinical research, accounting for less than 8% of clinical trial participants. Consideration of cultural values could help overcome barriers to inclusion in clinical trials and result in better recruitment and retention of Latinx individuals. In this commentary, we describe general guidance on culturally responsive modifications to facilitate the successful recruitment and retention of Spanish-speaking Latinx participants in Randomized Clinical Trials (RCTs) for substance use. We identify five culturally responsive strategies to help enroll participants in RCTs: 1. Create an ethnically diverse research team, 2. Assess available community partners, 3. Familiarize oneself with the target community, 4. Establish confianza (trust) with participants, and 5. Remain visible to participants and staff from recruitment sites. Representation of Latinx individuals in clinical trials is essential to ensure treatments are responsive to their needs and equitydriven. Some of these strategies can further research in helping to promote the participation of Latinx individuals experiencing substance use concerns, including outreach to those not seeking treatment.

The rise and fall of substance use during treatment: Applying recency and expectancy principles to daily substance use patterns.

OBJECTIVE: Clinical trials for substance use disorder (SUD) often assess outcomes by aggregating substance use data into weekly proportions. However, daily substance use patterns may reveal how motivation changes during treatment. Neurocognitive principles of recency and expectancy indicate the salience of treatment mechanisms would increase on days proximal to therapy sessions. This study tested whether substance use decreased on days near treatment sessions. METHOD: Bayesian multilevel models were used in a secondary analysis of randomized clinical trial data comparing cognitive behavioral therapy (CBT), computerized CBT, and treatment as usual during outpatient SUD treatment (n = 94; 76% males; Mage = 38; 46% African American, 38% White, 6% multiracial, 10% other; 17% Hispanic). The number of days before/after a therapy session was used to predict daily substance use assessed by weekly self-reports. RESULTS: The models suggested that substance use increased as more days passed after a therapy session (b = 5.23) and then decelerated before the next therapy session (b² = -8.20). The evidence indicated that substance use was less likely on therapy days and the days after therapy. Primary drug type, SUD severity, and treatment condition moderated these findings. CONCLUSIONS: Substance use patterns during treatment were consistent with recency and expectancy neurocognitive principles. Substance use decreased on days closer to a therapy session, suggesting that treatment mechanisms were more salient on those days. More frequent therapeutic contact and targeted timing of treatment delivery may enhance treatment efficacy. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The connection still matters: Therapeutic alliance with digital treatment for alcohol use disorder.

BACKGROUND: A strong cooperative bond between the patient and provider ("therapeutic alliance") is robustly associated with better alcohol use disorder (AUD) treatment outcomes. Although digital treatments for AUD have significant potential, the function of the alliance during digital programs is unclear. We compared the validity of patient-reported measures of the alliance with a digital treatment ("digital alliance") for AUD and the alliance with their clinician ("clinician alliance"). METHODS: We used data from an 8-week, randomized clinical trial of a computerized cognitive behavioral therapy program (CBT4CBT) during outpatient AUD treatment. Treatment conditions included CBT4CBT with minimal clinical monitoring (CBT4CBT + monitor) or with treatment as usual (CBT4CBT + TAU). The digital alliance and clinician alliance were measured with similar versions of the Working Alliance Inventory (WAI). The WAI ratings were completed at the 2nd and 6th treatment sessions. A timeline followback calendar assessed daily alcohol use. Bayesian multilevel models compared the strength of the alliances and tested their associations with future alcohol use. RESULTS: Data from 43 participants were included (age M = 44; 65% male; 51% Black, 40% White, 9% other; 14% Hispanic). The digital alliance ratings had similar internal reliability as the clinician alliance ratings (ω's > 0.90). Differences between digital alliance and clinician alliance ratings were negligible in both treatment conditions (BF01 = 9 and 31). During treatment, within-person increases in the digital alliance and the clinician alliance predicted modest decreases in future drinking to a similar degree (BF01 = 15). Alliance ratings were not associated with future drinking when posttreatment follow-up drinking data were included (BF10 < 3). CONCLUSIONS: The digital alliance with CBT4CBT was comparable to the clinician alliance. The digital alliance and clinician alliance had similar, albeit very small, associations with abstinence during treatment. Future research can explore how the digital alliance develops to improve AUD treatment efficacy.

The Effect of Cognitive Behavioral Therapy on Impulsivity in Addictive Disorders: a Narrative Review.

Purpose of Review: Impulsivity is considered an important construct in the cycle of addiction, yet the effect of evidence-based treatments on impulsivity is unclear. The goal of this paper was to review the evidence regarding the effect of cognitive behavioral therapy (CBT), one of the most studied psychotherapies for addiction, on measures of impulsivity in addictive disorders. Recent Findings: There is a robust literature implicating impulsivity as risk factor for development of a range of addictions and poorer treatment outcomes. However, this review identified only four randomized controlled trials evaluating CBT for an addictive behavior that included repeated assessment of impulsivity. All four were studies targeting substance use. Summary: There is limited evidence that CBT has a direct effect on change in measures of impulsivity among individuals being treated for substance use. Future clinical trials should include repeated measurement of impulsivity to examine CBT's effect on the underlying characteristics of addiction.

Exploring the role of expectancy in older US participants' response to an accelerated resolution therapy intervention for prolonged grief disorder.

Accelerated resolution therapy (ART) is a psychotherapy for the treatment of prolonged grief disorder (PGD) defined as severe, enduring longing for the lost person. Currently, ART lacks examination of intrapersonal processes, like expectancy, as behavioural mechanisms for action. Therefore, the purpose of this paper was to present the findings on participants' treatment expectations of ART for PGD and then discuss potential hypotheses for future testing. This study was a primary qualitative descriptive analysis of prospectively collected interview data (collected 2017-2019) accrued as part of a randomised, wait-list controlled clinical trial in bereaved hospice family caregivers in the United States. The sample included 29 former informal caregivers who were at least 1-year post death of their care recipient. They were primarily female, older (67.4 ± 7.1 years), and a little over half (n = 18) had been married to their care recipient. Thematic analysis resulted in three distinct themes with six sub-themes: The role of knowledge in expectations (sub-themes uncertainty, prior knowledge); The role of personality in expectations (sub-themes openness, positive affect); and Expecting a process (sub-themes cognitive processes, affective processes) which described the interaction of person and process in shaping expectations of our intervention. An across theme analysis of the specificity of the participants' expectations uncovered that knowledge and personality inform expectations of ART and that individuals who verbalise a process for recovery tend to be very specific in their expectations. Three hypotheses for testing are put forward and implications for practice, research and policy discussed.

A Structural Equation Model of Gratitude, Self-efficacy, and Medication Adherence in Patients With Stage B Heart Failure.

BACKGROUND: Consistent self-care slows the progression of heart failure (HF). Gratitude, the practice of appreciating the positive aspects of life, may influence self-efficacy, which in turn is known to improve self-care. However, little is known about the relationships among gratitude, self-efficacy, and medication adherence in HF. OBJECTIVE: The aim of this study was to test a model to determine if self-efficacy mediates the relationship between gratitude and medication adherence in asymptomatic patients with HF. METHOD: This is a secondary analysis of data from a prospective observational study. Data were analyzed using a structural equation model to examine associations between gratitude, cardiac-specific self-efficacy, and medication adherence in 153 patients with HF. Gratitude, self-efficacy, and medication adherence were assessed using the Gratitude Questionnaire-6, Cardiac Self-efficacy Scale-Maintain Function Subscale, and the Morisky Medication Adherence Scale, respectively. RESULTS: Patient mean (SD) age was 66 (11) years, and 95% of the participants were men. Patients were primarily white (79%), black (12%), or Asian (6%). Gratitude exerted an indirect effect on medication adherence through self-efficacy (b = 0.16; P < .05). Gratitude was positively related to self-efficacy (b = 0.50; P < .05), and self-efficacy was positively related to medication adherence (b = 0.31; P < .05). The model fit was acceptable (comparative fit index = 0.92, Tucker-Lewis index = 0.90, root-mean-square error of approximation = 0.08). CONCLUSION: In this study, we found evidence that self-efficacy was a mechanism through which gratitude was associated with medication adherence in asymptomatic patients with HF, suggesting a way to improve self-care nonpharmacologically. Future work will examine whether gratitude intervention results in improved self-care.

Examining the Relationship Between Patient Fatigue-Related Symptom Clusters and Carer Depressive Symptoms in Advanced Cancer Dyads: A Secondary Analysis of a Large Hospice Data Set.

BACKGROUND: Most symptom management takes place in the community, conducted by patient and/or informal carer dyads with guidance from clinicians. Given the prevalence of cancer, there is a critical need for examination of the impact of managing multiple symptoms, particularly those that cluster with fatigue, on informal carers. OBJECTIVES: To (1) examine clustering of patient fatigue-related symptom severity and distress in individuals with cancer and (2) test the hypothesis that patient fatigue-related symptom clusters (severity, distress) will be positively associated with carer depressive symptoms. METHODS: Secondary analysis of 689 hospice patient/informal carer dyads using exploratory factor analysis and structural equation modeling. Patient symptoms were measured by the Memorial Symptom Assessment Scale, and carer depressive symptoms were measured by the Center for Epidemiological Study-Depression Scale. RESULTS: Patients were 73 (SD, 12) years old, and 43% were female. Carers were 65 years (SD, 14) years old, and 74% were female. For symptom severity, dyspnea, dry mouth, lack of appetite, drowsiness, cough, dizziness, and difficulty swallowing clustered with fatigue. For symptom distress, dyspnea, cough, and dry mouth clustered with fatigue. Structural equation modeling results indicated that the patient fatigue severity cluster was positively related to carer depressive symptoms (b = 0.12, P < .05), but distress was not. CONCLUSION: Managing multiple symptoms that cluster with fatigue negatively impacts informal carers. IMPLICATIONS FOR PRACTICE: When patients complain of severe fatigue, clinicians need to explore all causes and ask about other symptoms while exploring whether the informal carer is feeling burdened or depressed.

Using future-oriented expectancy associates to probe real-time variations in motivation to consume alcohol.

An extensive empirical and theoretical literature has characterized anticipatory/expectancy processes as integral to motivation, including motivation to consume alcohol. To examine whether these processes could be probed on a moment to moment basis as they activate to motivate near term drinking, we sampled future-oriented expectancy verbal associates (i.e., self-generated words) using an ecological momentary assessment (EMA) paradigm every 3 hr on 3 days of the week (2 days of likely drinking and 1 of low drinking likelihood). Expectancy associates were chosen because cognitive psychologists consider verbal items collected in this manner a part-way approach to measurement of automatic/implicit processes. Consistent with predictions, more positively valenced alcohol expectancies activated within a few hours preceding increased alcohol consumption, and this activation could be statistically distinguished from the influence of a wide array of other variables known to predict consumption, including autocorrelation. As previously observed, more positively valenced alcohol expectancies were activated in alcohol-related environments. These findings provide further evidence that anticipatory information processing is engaged for the direction of future behavior, and that probing expectancies in real-time can be useful for predicting near-term alcohol consumption. (PsycINFO Database Record (c) 2019 APA, all rights reserved).