Adolescent, Parent, and Provider Perceptions of a Predictive Algorithm to Identify Adolescent Suicide Risk in Primary Care.

ABSTRACT:

Objective

To understand adolescent, parent, and provider perceptions of a machine learning algorithm for detecting adolescent suicide risk prior to its implementation primary care.

Methods

We conducted semi-structured, qualitative interviews with adolescents (n = 9), parents (n = 12), and providers (n = 10; mixture of behavioral health and primary care providers) across two major health systems. Interviews were audio recorded and transcribed with analyses supported by use of NVivo. A codebook was developed combining codes derived inductively from interview transcripts and deductively from implementation science frameworks for content analysis.

Results

Reactions to the algorithm were mixed. While many participants expressed privacy concerns, they believed the algorithm

SUBMITTER: Davis M 

PROVIDER: S-EPMC11056301 | biostudies-literature | 2024 May-Jun

REPOSITORIES: biostudies-literature