Marsch, Lisa A.

Purpose To develop a culturally-tailored American Indian/Alaska Native (AI/AN) women’s Facebook group supporting opioid recovery as an adjunct to medication. Design Community-based, qualitative approach. Setting Minnesota, U.S. Participants AI/AN women in opioid recovery, interested parties, and a Community Advisory Committee (CAC) of AI/AN women with lived experience, health care providers, and community members. Intervention We developed evidence-based content focusing on stress/trauma and substance use, mindfulness, responding to triggers, and supportive community resources. Additional content centered on AI/AN culture was also selected. Method Interviews were conducted by two women, then transcribed and coded using content analysis with NVivo software. Results were presented to CAC for further content refinement. Results CAC members (n = 10) guided study methods, intervention development, and dissemination activities. 14 AI/AN women (mean age 36.4 years; mean 6.7 months opioid abstinence) and 12 interested parties (7 men, 5 women) were receptive to an AI/AN gender-specific Facebook group, preferring content with AI/AN people and/or text resonating with AI/AN culture (e.g., Native traditions, family, personal stories, historical trauma). Recommendations included (1) protect confidentiality, (2) retain positivity, (3) incorporate resources and exercises to build coping skills, and (4) moderators should be authentic and relatable to build trust. Conclusions Our approach provides a model for developing culturally tailored, appealing and effective social media interventions to support AI/AN women in recovery from opioid use disorder.

The ability to regulate behavior in service of long-term goals is a widely studied psychological construct known as self-regulation. This wide interest is in part due to the putative relations between self-regulation and a range of real-world behaviors. Self-regulation is generally viewed as a trait, and individual differences are quantified using a diverse set of measures, including self-report surveys and behavioral tasks. Accurate characterization of individual differences requires measurement reliability, a property frequently characterized in self-report surveys, but rarely assessed in behavioral tasks. We remedy this gap by ( i ) providing a comprehensive literature review on an extensive set of self-regulation measures and ( ii ) empirically evaluating test–retest reliability of this battery in a new sample. We find that dependent variables (DVs) from self-report surveys of self-regulation have high test–retest reliability, while DVs derived from behavioral tasks do not. This holds both in the literature and in our sample, although the test–retest reliability estimates in the literature are highly variable. We confirm that this is due to differences in between-subject variability. We also compare different types of task DVs (e.g., model parameters vs. raw response times) in their suitability as individual difference DVs, finding that certain model parameters are as stable as raw DVs. Our results provide greater psychometric footing for the study of self-regulation and provide guidance for future studies of individual differences in this domain.