TY  - JOUR
PY  - 2022//
TI  - Implementation of suicide risk estimation analytics to support mental health care for quality improvement
JO  - JAMA network open
A1  - Richards, Julie E.
A1  - Yarborough, Bobbi Jo H.
A1  - Holden, Erika
A1  - Shulman, Lisa
A1  - Stumbo, Scott P.
A1  - Coley, Yates
A1  - Simon, Gregory E.
SP  - e2247195
EP  - e2247195
VL  - 5
IS  - 12
N2  - 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...<p />  <p>Language: en</p>
LA  - en
SN  - 2574-3805
UR  - http://dx.doi.org/10.1001/jamanetworkopen.2022.47195
ID  - ref1
ER  -