Can passive measurement of physiological distress help better predict suicidal thinking?

There has been growing interest in using wearable physiological monitors to passively detect the signals of distress (i.e., increases in autonomic arousal measured through increased electrodermal activity [EDA]) that may be imminently associated with suicidal thoughts. Before using these monitors in advanced applications such as creating suicide risk detection algorithms or just-in-time interventions, several preliminary questions must be answered. Specifically, we lack information about whether: (1) EDA concurrently and prospectively predicts suicidal thinking and (2) data on EDA adds to the ability to predict the presence and severity of suicidal thinking over and above self-reports of emotional distress. Participants were suicidal psychiatric inpatients (n = 25, 56% female, M age = 33.48 years) who completed six daily assessments of negative affect and suicidal thinking duration of their psychiatric inpatient stay and 28 days post-discharge, and wore on their wrist a physiological monitor (Empatica Embrace) that passively detects autonomic activity. We found that physiological data alone both concurrently and prospectively predicted periods of suicidal thinking, but models with physiological data alone had the poorest fit. Adding physiological data to self-report models improved fit when the outcome variable was severity of suicidal thinking, but worsened model fit when the outcome was presence of suicidal thinking. When predicting severity of suicidal thinking, physiological data improved model fit more for models with non-overlapping self-report data (i.e., low arousal negative affect) than for overlapping self-report data (i.e., high arousal negative affect). These findings suggest that physiological data, under certain contexts (e.g., when combined with self-report data), may be useful in better predicting-and ultimately, preventing-acute increases in suicide risk. However, some cautious optimism is warranted since physiological data do not always improve our ability to predict suicidal thinking.

Brief video intervention to improve attitudes throughout medications for opioid use disorder in a correctional setting.

OBJECTIVES: Medications for opioid use disorder (MOUD) in the criminal justice setting is an effective way to address opioid use disorder and prevent associated deaths in the community. The Rhode Island Department of Corrections (RIDOC) is the first statewide correctional system in the United States to offer comprehensive MOUD services to incarcerated individuals.However, due to stigma, eligible individuals may be reluctant to engage with MOUD. This study aims to 1) evaluate the efficacy of an educational video intervention about MOUD and 2) characterize MOUD-related attitudes in a general incarcerated population. METHODS: Participants were recruited from eight elective classes offered to soon-to-be-released incarcerated individuals at RIDOC. Participants viewed an eight-minute video featuring incarcerated individuals speaking about their experiences using MOUD, designed to reduce MOUD-related stigma. Participants were administered surveys prior to and after watching the video to assess changes in MOUD knowledge (MOUD-K) and MOUD attitudes (MOUD-A). RESULTS: This evaluation of the intervention included 80 incarcerated participants (median age = 35, 93% male, 36% non-Hispanic White, and 26% non-Hispanic Black). Forty percent indicated non-medical opioid use within six months prior to incarceration; 13% had previously used MOUD. Significant improvements in MOUD-K scores (t(65) = -7.0, p < 0.0001) and MOUD-A scores (t(69) = -5.8, p < 0.0001) were detected after participants viewed the video. The intervention yielded greater ΔMOUD-A scores among those identifying as non-Hispanic Black, compared to non-Hispanic Whites (ß = 2.6, CI = 0.4, 4.8). CONCLUSION: The educational video improved both knowledge and positive attitudes towards MOUD, with changes in MOUD attitudes being influenced by race. These findings may inform future MOUD educational programs, thereby helping to reduce opioid use disorder-related morbidity and mortality.