Dataset Information

As Safe as Possible (ASAP): A Brief App-Supported Inpatient Intervention to Prevent Postdischarge Suicidal Behavior in Hospitalized, Suicidal Adolescents.

ABSTRACT:

Objective

The authors report on a pilot study of an inpatient intervention for suicidal adolescents, As Safe as Possible (ASAP), supported by a smartphone app (BRITE) to reduce suicide attempts following hospital discharge.

Method

Across two sites, 66 adolescents hospitalized for suicidal ideation (N=26) or a recent suicide attempt (N=40) were randomly assigned to the ASAP intervention program plus treatment as usual or to treatment as usual alone. ASAP, which focuses on emotion regulation and safety planning, is a 3-hour intervention delivered on the inpatient unit. The BRITE app prompted participants to rate their level of emotional distress on a daily basis and provided personalized strategies for emotion regulation and safety planning. A blind, independent evaluator assessed suicide attempts following hospital discharge and suicidal ideation at 4, 12, and 24 weeks after discharge.

Results

The ASAP intervention did not have a statistically significant effect on suicide attempt, although findings were in the hypothesized direction for occurrence of an attempt (16% compared with 31%; χ²=1.86, df=1, g=-0.36) and time to an attempt (hazard ratio=0.49, 95% CI=0.16, 1.47). Past history of a suicide attempt was a significant moderator of treatment outcome, with a stronger, albeit nonsignificant, effect of the ASAP intervention among participants with a history of suicide attempt (hazard ratio=0.23, 95% CI=0.05, 1.09). There were no treatment effects on suicidal ideation. The majority of participants (70%) used the BRITE app (median usage, 19 times). Participants reported high satisfaction with both the intervention and the app.

Conclusions

The ASAP intervention program shows promise in reducing the incidence of postdischarge suicide attempts among adolescents hospitalized for suicidality and merits further study.

SUBMITTER: Kennard BD

PROVIDER: S-EPMC6169524 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

As Safe as Possible (ASAP): A Brief App-Supported Inpatient Intervention to Prevent Postdischarge Suicidal Behavior in Hospitalized, Suicidal Adolescents.

Kennard Betsy D BD Goldstein Tina T Foxwell Aleksandra A AA McMakin Dana L DL Wolfe Kristin K Biernesser Candice C Moorehead Alexandra A Douaihy Antoine A Zullo Lucas L Wentroble Erin E Owen Victoria V Zelazny Jamie J Iyengar Satish S Porta Giovanna G Brent David D

The American journal of psychiatry 20180719 9

<h4>Objective</h4>The authors report on a pilot study of an inpatient intervention for suicidal adolescents, As Safe as Possible (ASAP), supported by a smartphone app (BRITE) to reduce suicide attempts following hospital discharge.<h4>Method</h4>Across two sites, 66 adolescents hospitalized for suicidal ideation (N=26) or a recent suicide attempt (N=40) were randomly assigned to the ASAP intervention program plus treatment as usual or to treatment as usual alone. ASAP, which focuses on emotion r ...[more]

PMID: 30021457

Similar Datasets

Project description:ImportanceThe weeks following discharge from psychiatric hospitalization are the highest-risk period for suicide attempts. Real-time monitoring of suicidal thoughts via smartphone prompts may be more indicative of short-term risk than a single, cross-sectional assessment.ObjectiveTo test whether modeling dynamic changes in real-time suicidal thoughts during psychiatric hospitalization can improve predictions of postdischarge suicide attempts vs using only baseline (ie, admission) data or using the mean level of real-time suicidal thoughts during hospitalization.Design, setting, and participantsIn this prognostic study, 83 adults recruited from the inpatient psychiatric unit at Massachusetts General Hospital completed ecological momentary assessment surveys of suicidal thinking 4 to 6 times per day during hospitalization as well as brief follow-up surveys assessing suicide attempts at 2 and 4 weeks after discharge. Participants completed at least 3 real-time monitoring surveys. Inclusion criteria included hospitalization for suicidal thoughts and/or behaviors and English fluency. Data were collected from January 2016 to December 2018 and analyzed from January to December 2020.Main outcomes and measuresThe primary outcome was suicide attempt in the month after discharge.ResultsOf 83 participants (mean [SD] age, 38.4 [13.6] years; 43 [51.8%] male participants; 69 [83.1%] White individuals), 9 (10.8%) made a suicide attempt in the month after discharge. Mean cross-validated AUC for elastic net models revealed predictive accuracy was fair for the model using baseline data (area under the curve [AUC], 0.71; first to third quartile, 0.55-0.88), good for the model using the mean level of real-time suicidal thoughts during hospitalization (AUC, 0.81; first to third quartile, 0.67-0.91), and best for the model using dynamic changes in real-time suicidal thoughts during hospitalization (AUC, 0.89; first to third quartile, 0.81-0.97); this pattern of results held for other classification metrics (eg, accuracy, positive predictive value, Brier score) and when using different cross-validation procedures. Features assessing rapid fluctuations in suicidal thinking emerged as the strongest predictors of posthospital suicide attempts. A final set of models incorporating percentage missingness further improved both the mean (mean AUC, 0.93; first to third quartile, 0.90-1.00) and dynamic feature (mean AUC, 0.93; first to third quartile, 0.88-1.00) models.Conclusions and relevanceIn this study, collecting real-time data about suicidal thinking during the course of hospitalization significantly improved short-term prediction of posthospitalization suicide attempts. Models including dynamic changes in suicidal thinking over time yielded the best prediction; features that captured rapid changes in suicidal thoughts were particularly strong predictors. Survey noncompletion also emerged as an important predictor of posthospitalization suicide attempts.

Project description:BackgroundExcessive gestational weight gain (GWG) and gestational diabetes mellitus (GDM) are common pregnancy complications that have been shown to be preventable through the use of lifestyle interventions. However, a significant gap exists between research on pregnancy lifestyle interventions and translation into clinical practice. App-supported interventions might aid in overcoming previous implementation barriers. The current status in this emerging research area is unknown.ObjectiveThis scoping review aims to provide a comprehensive overview of planned, ongoing, and completed studies on eHealth and mobile health (mHealth) app-supported lifestyle interventions in pregnancy to manage GWG and prevent GDM. The review assesses the scope of the literature in the field; describes the population, intervention, control, outcomes, and study design (PICOS) characteristics of included studies as well as the findings on GWG and GDM outcomes; and examines app functionalities.MethodsThe scoping review was conducted according to a preregistered protocol and followed established frameworks. Four electronic databases and 2 clinical trial registers were systematically searched. All randomized and quasi-randomized controlled trials (RCTs) of app-supported lifestyle interventions in pregnancy and related qualitative and quantitative research across the different study phases were considered for inclusion. Eligible studies and reports of studies were included until June 2022. Extracted data were compiled in descriptive analyses and reported in narrative, tabular, and graphical formats.ResultsThis review included 97 reports from 43 lifestyle intervention studies. The number of published reports has steadily increased in recent years; of the 97 included reports, 38 (39%) were trial register entries. Of the 39 identified RCTs, 10 efficacy or effectiveness trials and 8 pilot trials had published results on GWG (18/39, 46%); of these 18 trials, 7 (39%) trials observed significant intervention effects on GWG outcomes. Of all 39 RCTs, 5 (13%) efficacy or effectiveness trials reported GDM results, but none observed significant intervention effects on GDM. The RCTs included in the review were heterogeneous in terms of their PICOS characteristics. Most of the RCTs were conducted in high-income countries, included women with overweight or obesity and from all BMI categories, delivered multicomponent interventions, delivered interventions during pregnancy only, and focused on diet and physical activity. The apps used in the studies were mostly mHealth apps that included features for self-monitoring, feedback, goal setting, prompts, and educational content. Self-monitoring was often supported by wearable activity monitors and Bluetooth-connected weight scales.ConclusionsResearch in this field is nascent, and the effectiveness and implementability of app-supported interventions have yet to be determined. The complexity and heterogeneity of intervention approaches pose challenges in identifying the most beneficial app features and intervention components and call for consistent and comprehensive intervention and outcome reporting.

Dataset Information

As Safe as Possible (ASAP): A Brief App-Supported Inpatient Intervention to Prevent Postdischarge Suicidal Behavior in Hospitalized, Suicidal Adolescents.

Objective

Method

Results

Conclusions

Publications

As Safe as Possible (ASAP): A Brief App-Supported Inpatient Intervention to Prevent Postdischarge Suicidal Behavior in Hospitalized, Suicidal Adolescents.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets