Using a Tablet-Based App to Deliver Evidence-Based Practices for Suicidal Patients in the Emergency Department: Pilot Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Emergency departments (EDs) have the potential to provide evidence-based practices for suicide prevention to patients who are acutely suicidal. However, few EDs have adequate time and personnel resources to deliver recommended evidence-based assessment and interventions. To raise the clinical standard of care for patients who are suicidal and seeking psychiatric crisis services in the ED, we developed Jaspr Health, a tablet-based app for direct use by such patients, which enables the delivery of 4 evidence-based practices. OBJECTIVE: This study aims to evaluate the feasibility, acceptability, and effectiveness of Jaspr Health among suicidal adults in EDs. METHODS: Patients who were acutely suicidal and seeking psychiatric crisis services participated in an unblinded pilot randomized controlled trial while in the ED. Participants were randomly assigned to Jaspr Health (n=14) or care as usual (control; n=17) groups. Participants were assessed at baseline, and a 2-hour posttest using self-report measures and a semistructured interview were conducted. RESULTS: Conditions differed significantly at baseline with regard to age but not other demographic variables or baseline measures. On average, participants had been in the ED for 17 hours before enrolling in the study. Over their lifetime, 84% (26/31) of the sample had made a suicide attempt (mean 3.4, SD 6.4) and 61% (19/31) had engaged in nonsuicidal self-injurious behaviors, with an average rate of 8.8 times in the past 3 months. All established feasibility and acceptability criteria were met: no adverse events occurred, participants' app use was high, Jaspr Health app user satisfaction ratings were high, and all participants using Jaspr Health recommended its use for other suicidal ED patients. Comparisons between study conditions provide preliminary support for the effectiveness of the app: participants using Jaspr Health reported a statistically significant increase in receiving 4 evidence-based suicide prevention interventions and overall satisfaction ratings with their ED experience. In addition, significant decreases in distress and agitation, along with significant increases in learning to cope more effectively with current and future suicidal thoughts, were observed among participants using Jaspr Health compared with those receiving care as usual. CONCLUSIONS: Even with limited statistical power, the results showed that Jaspr Health is feasible, acceptable, and clinically effective for use by ED patients who are acutely suicidal and seeking ED-based psychiatric crisis services. TRIAL REGISTRATION: ClinicalTrials.gov NCT03584386; https://clinicaltrials.gov/ct2/show/NCT03584386.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".