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BackgroundSuicide is the second leading cause of death among adolescents. A critical need exists for developing promising interventions for adolescents after psychiatric hospitalization who are at a high risk of experiencing repeated suicidal behaviors and related crises. The high-risk period following psychiatric hospitalization calls for cost-effective and scalable continuity of care approaches to support adolescents’ transition from inpatient care. Text messages have been used to improve a wide range of behavioral and health outcomes and may hold promise as an accessible continuity of care strategy for youth at risk of suicide. ObjectiveIn this study of 40 adolescents at elevated suicide risk, we report on the iterative development and acceptability of a text-based intervention designed to encourage adaptive coping and safety plan adherence in the high-risk period following psychiatric hospitalization. MethodsAdolescents (aged 13-17 years) who were hospitalized because of last-month suicide attempts or last-week suicidal ideation took part in either study phase 1 (n=25; 19/25, 76% female), wherein message content was developed and revised on the basis of feedback obtained during hospitalization, or study phase 2 (n=15; 11/15, 73% female), wherein text messages informed by phase 1 were further tested and refined based on feedback obtained daily over the course of a month after discharge (n=256 observations) and during an end-of-study phone interview. ResultsQuantitative and qualitative feedback across the 2 study phases pointed to the acceptability of text-based support. Messages were seen as having the potential to be helpful with the transition after hospitalization, with adolescents indicating that texts may serve as reminders to use coping strategies, contribute to improvement in mood, and provide them with a sense of encouragement and hope. At the same time, some adolescents expressed concerns that messages may be insufficient for all teens or circumstances. In phase 2, the passage of time did not influence adolescents’ perception of messages in the month after discharge (P=.74); however, there were notable daily level associations between the perception of messages and adolescents’ affect. Specifically, higher within-person (relative to adolescents’ own average) anger was negatively related to liking text messages (P=.005), whereas within-person positive affect was associated with the perception of messages as more helpful (P=.04). ConclusionsText-based support appears to be an acceptable continuity of care strategy to support adolescents’ transition after hospitalization. The implications of study findings are discussed. Future work is needed to evaluate the impact of text-based interventions on suicide-related outcomes.

Background: Use of intensive longitudinal methods (e.g. ecological momentary assessment, passive sensing) and machine learning (ML) models to predict risk for depression and suicide has increased in recent years. However, these studies often vary considerably in length, ML methods used, and sources of data. The present study examined predictive accuracy for depression and suicidal ideation (SI) as a function of time, comparing different combinations of ML methods and data sources. Methods: Participants were 2459 first-year training physicians (55.1% female; 52.5% White) who were provided with Fitbit wearable devices and assessed daily for mood. Linear [elastic net regression (ENR)] and non-linear (random forest) ML algorithms were used to predict depression and SI at the first-quarter follow-up assessment, using two sets of variables (daily mood features only, daily mood features + passive-sensing features). To assess accuracy over time, models were estimated iteratively for each of the first 92 days of internship, using data available up to that point in time. Results: ENRs using only the daily mood features generally had the best accuracy for predicting mental health outcomes, and predictive accuracy within 1 standard error of the full 92 day models was attained by weeks 7–8. Depression at 92 days could be predicted accurately (area under the curve >0.70) after only 14 days of data collection. Conclusions: Simpler ML methods may outperform more complex methods until passive-sensing features become better specified. For intensive longitudinal studies, there may be limited predictive value in collecting data for more than 2 months. [ABSTRACT FROM AUTHOR]

Objectives: This study sought to describe self-reported barriers to professional help seeking among college students who are at elevated suicide risk and determine if these barriers vary by demographic and clinical characteristics. Participants: Participants were 165 non-treatment seekers recruited as part of a Web-based treatment linkage intervention for college students at elevated suicide risk (from September 2010 through December 2011). Methods: Data were collected using Web-based questionnaires. Two coders coded students' responses to an open-ended question about reasons for not seeking professional help. Results: The most commonly reported barriers included perception that treatment is not needed (66%), lack of time (26.8%), and preference for self-management (18%). Stigma was mentioned by only 12% of students. There were notable differences based on gender, race, and severity of depression and alcohol abuse. Conclusions: Efforts aimed at reaching students at elevated risk for suicidal behavior should be particularly sensitive to these commonly described barriers.

This study examined the extent to which posthospitalization "change" in connectedness with family, peers, and nonfamily adults predicted suicide attempts, severity of suicidal ideation, and depressive symptoms across a 12-month follow-up period among inpatient suicidal adolescents. Participants were 338 inpatient suicidal adolescents, ages 13 to 17, who were assessed at 3, 6, and 12 months posthospitalization. General liner models were fitted for depressive symptoms and suicidal ideation outcomes, and logistic regression was used for the dichotomous suicide attempt outcome. The moderating effects of gender and multiple attempt history were examined. Adolescents who reported greater improvements in peer connectedness were half as likely to attempt suicide during the 12-month period. Improved peer connectedness was also associated with less severe depressive symptoms for all adolescents and with less severe suicidal ideation for female individuals, but only at the 3-month assessment time point. Improved family connectedness was related to less severe depressive symptoms and suicidal ideation across the entire year; for suicidal ideation, this protective effect was limited to nonmultiple suicide attempters. Change in connectedness with nonfamily adults was not a significant predictor of any outcome when changes in family and peer connectedness were taken into account. These results pointing to improved posthospitalization connectedness being linked to improved outcomes following hospitalization have important treatment and prevention implications given inpatient suicidal adolescents' vulnerability to suicidal behavior. (Contains 5 tables.)

Using data from the 1999 Large Health Survey of Veterans, Veterans Affairs' medical records, and the National Death Index (N = 260,254), the association between self-reported pain severity and suicide among veterans as examined, after accounting for demographic variables and psychiatric diagnoses. A Cox proportional hazards regression demonstrated that veterans with severe pain were more likely to die by suicide than patients experiencing none, mild, or moderate pain (HR: 1.33; 95% CI: 1.15, 1.54), after controlling for demographic and psychiatric characteristics. These results indicate that pain evaluations should be included in comprehensive suicide assessments and suicide prevention efforts.

Mobile technology offers new possibilities for assessing suicidal ideation and behavior in real- or near-real-time. It remains unclear how intensive longitudinal data can be used to identify proximal risk and inform clinical decision making. In this study of adolescent psychiatric inpatients (N = 32, aged 13-17 years, 75% female), we illustrate the application of a three-step process to identify early signs of suicide-related crises using daily diaries. Using receiver operating characteristic (ROC) curve analyses, we considered the utility of 12 features—constructed using means and variances of daily ratings for six risk factors over the first 2 weeks postdischarge (observations = 360)—in identifying a suicidal crisis 2 weeks later. Models derived from single risk factors had modest predictive accuracy (area under the ROC curve [AUC] 0.46-0.80) while nearly all models derived from combinations of risk factors produced higher accuracy (AUCs 0.80-0.91). Based on this illustration, we discuss implications for clinical decision making and future research. [ABSTRACT FROM AUTHOR]

Objective: Rumination is often cited as a risk factor for suicide, yet few studies of rumination have utilized clinical samples, and no studies have examined its prospective association with suicide attempts. The purpose of this study was to examine concurrent and prospective associations of brooding and reflection (the two components of rumination) with suicide ideation and suicide attempts among a high-risk clinical sample.Method: Participants were 286 adolescents and young adults (77% Caucasian, 59% female) aged 13-25 seeking psychiatric emergency services. A majority (71%) were presenting with a primary complaint of suicide ideation or recent suicide attempt. Participants completed a baseline assessment at the index visit; 226 participants (79%) completed a 4-month follow-up assessment of suicidal thoughts and behaviors.Results: Brooding was associated with lifetime history of one or more suicide attempts, but not concurrent suicide ideation. Reflection was not associated with lifetime suicide attempts or concurrent suicide ideation. Furthermore, prospective associations of brooding and reflection with suicide ideation and suicide attempts were weak-to-small in magnitude and statistically nonsignificant.Conclusions: Rumination appears to have a limited association with suicide-related outcomes within a high-risk clinical sample. Additional longitudinal studies utilizing clinical samples are critically needed to better understand these associations. [ABSTRACT FROM AUTHOR]

Background: Our understanding of suicidal ideation (SI) and its risk precursors is largely informed by studies spanning over wide time intervals (weeks, months, years). Little is known about SI as it occurs in daily lives of individuals at risk for suicide, the extent to which suicidal thoughts are dynamic over short periods of time, and the degree to which theoretically informed risk factors predict near‐term SI. Methods: Thirty‐four adolescents hospitalized due to last‐month suicide attempt and/or last‐week SI (76% female; ages 13–17) responded to daily surveys sent to their cell phones for four consecutive weeks after discharge (n = 652 observations). Results: There was notable variability in day‐to‐day SI, with half of ideation ratings changing at least one within‐person standard deviation from one day to the next. Results of mixed effects models revealed concurrent (same‐day), but not short‐term prospective (next‐day), associations between SI (frequency, duration, urge) and well‐established predictors (connectedness, burdensomeness, hopelessness). However, synergistic effects of low connectedness with either high burdensomeness or high hopelessness were reliably associated with more severe same‐ and next‐day suicidal ideation. Conclusions: This study adds to emerging literature indicating that suicidal thoughts fluctuate considerably among individuals at risk for suicide, further extending it by focusing on adolescents in the critical posthospitalization period. Fostering high‐risk adolescents' sense of connectedness to others may be an especially promising intervention target. Frequent assessment of SI and its predictors, independently and in combination, could help identify promising predictors of short‐term risk and meaningful intervention targets in high‐risk teens. [ABSTRACT FROM AUTHOR]

This study of adolescents seeking emergency department (ED) services and their parents examined parents' self-efficacy beliefs to engage in suicide prevention activities, whether these beliefs varied based on teens' characteristics, and the extent to which they were associated with adolescents' suicide-related outcomes. Participants included 162 adolescents (57% female, 81.5% Caucasian), ages 13-17, and their parents. At index visit, parents rated their self-efficacy to engage in suicide prevention activities and their expectations regarding their teen's future suicide risk. Adolescents' ED visits for suicide-related concerns and suicide attempts were assessed 4 months later. Parents endorsed high self-efficacy to engage in most suicide prevention activities. At the same time, they endorsed considerable doubt in being able to keep their child safe if the teen has thoughts of suicide and in their child not attempting suicide in the future. Parents whose teens experienced follow-up suicide-related outcomes endorsed, at clinically meaningful effect sizes, lower self-efficacy for recognizing suicide warning signs, for obtaining the teen's commitment to refrain from suicide, and for encouraging their teen to cope, as well as lower confidence that their teen will not attempt suicide; self-efficacy to recognize warning signs was at trend level. Despite endorsing high self-efficacy for the majority of suicide prevention activities, parents of high-risk teens expressed less confidence in their capacity to influence their teen's suicidal behavior, which could undermine parents' effort to implement these strategies. The relationship between parental self-efficacy and youth suicide-related outcomes points to its potential value in guiding clinical decision making and interventions. [ABSTRACT FROM AUTHOR]

The relationship between hopelessness and depression in predicting suicide-related outcomes varies based on the anticipation of positive versus negative events. In this prospective study of adolescents at elevated risk for suicide, we used two Beck Hopelessness Scale subscales to assess the impact of positive and negative expectations in predicting depression, suicidal ideation, and suicidal behavior over a 2- to 4-year period. In multivariate regressions controlling for depression, suicidal ideation, and negative-expectation hopelessness, positive-expectation hopelessness was the only significant predictor of depressive symptoms and suicidal behavior. Clinical interventions may benefit from bolstering positive expectations and building optimism. [ABSTRACT FROM AUTHOR]