Using smartphone surveys to predict next-week suicide attempts.

Matthew K Nock¹, Evan M Kleiman², Kate H Bentley¹, Rebecca G Fortgang¹, Alexander J Millner¹, Kelly L Zuromski¹, Adam Bear¹, Alexis Christie¹, Merryn Daniel¹, Dylan DeMarco¹, Lia Follet¹, Flynn Kelly¹, Hope Neveux¹, Onyinye Obi-Obasi¹, Jordyn R Ricard¹, Narise Ramlal¹, Tida Tambedou¹, Yaniv Yacoby¹, Suzanne A Bird³, Ralph Buonapane⁴, Abigail Donovan³, Patrick Mair¹, Jukka-Pekka Onnela⁵, Rosalind Picard⁶, Jordan W Smoller³

¹Department of Psychology, Harvard University.

²Department of Psychology, Rutgers University.

³Department of Psychiatry, Massachusetts General Hospital.

⁴Franciscan Children's/Boston Children's Hospital.

⁵Department of Epidemiology, Harvard T.H. Chan School of Public Health.

⁶MIT Media Lab.

PubMed PMC DOI PDF

Abstract

Clinicians are tasked with predicting and preventing suicidal behavior among their patients; however, there is currently no method for accurately predicting whether a person will make a suicide attempt (SA) in the near future. We tested whether brief, smartphone-based surveys, combined with passively collected survey metadata, could predict the occurrence of suicidal behavior over the next 7 days…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.