Validating a predictive algorithm for suicide risk with Alaska Native populations.

ABSTRACT:

Introduction

The American Indian/Alaska Native (AI/AN) suicide rate in Alaska is twice the state rate and four times the U.S. rate. Healthcare systems need innovative methods of suicide risk detection. The Mental Health Research Network (MHRN) developed suicide risk prediction algorithms in a general U.S.

Patient population

Methods

We applied MHRN predictors and regression coefficients to electronic health records of AI/AN patients aged ≥13 years with behavioral health diagnoses and primary care visits between October 1, 2016, and March 30, 2018. Logistic regression assessed model accuracy for predicting and stratifying risk for suicide attempt within 90 days after a visit. We compared expected to observed risk and assessed model performance characteristics.

Resul

SUBMITTER: Shaw JL 

PROVIDER: S-EPMC9378560 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature