Citation

Richards JE, Yarborough BJH, Holden E, Shulman L, Stumbo SP, Coley Y, Simon GE. JAMA Netw. Open 2022; 5(12): e2247195.

Copyright

(Copyright © 2022, American Medical Association)

DOI

10.1001/jamanetworkopen.2022.47195

PMID

36525278

Abstract

Suicide risk estimation analytics combine use of sociodemographic and clinical characteristics to quantify risk for defined populations. Development and testing have been promising,1,2 but there is very little evidence to guide routine use of estimation models during clinical encounters. The most well-known efforts have focused on outreach, such as ReachVet which successfully implemented suicide risk estimation analytics to identify at-risk veterans and address care needs.3 Encounter-based implementation efforts have not been described. Therefore, this mixed-methods quality improvement study describes use of estimation analytics to augment existing suicide prevention practices during routine mental health specialty encounters at Kaiser Permanente Washington...

Language: en