TY  - JOUR
PY  - 2016//
TI  - Rethinking Suicide Surveillance: Google Search Data and Self-Reported Suicidality Differentially Estimate Completed Suicide Risk
JO  - Clinical psychological science
A1  - Ma-Kellams, C.
A1  - Or, F.
A1  - Baek, J.H.
A1  - Kawachi, I.
SP  - 480
EP  - 484
VL  - 4
IS  - 3
N2  - Google search data have become an increasingly relied-on source of health information with a dual function as both a facilitative and a preventative resource. We tested the power of Google to predict suicide by comparing searches for explicitly suicidal terms with conventional measures of self-reported suicide risk in estimating completed suicides. In addition, we examined the extent to which discrepancies between Google-based and self-report-based estimates of suicide risk and completed suicide were asymmetrical across social-group lines. Relative to traditional self-reported measures of suicide risk, Google search data better estimated completed suicides. Furthermore, misestimation of suicidal risk was asymmetrical for both measures: Greater misestimation was likely in states with higher percentages of racial minorities and lower levels of socioeconomic status. Google search data can inform suicide-prevention efforts at the state level and suicide surveillance aimed at specific demographic groups. © The Author(s) 2015 Reprints and permissions.<p /> <p>Language: en</p>
LA  - en
SN  - 2167-7026
UR  - http://dx.doi.org/10.1177/2167702615593475
ID  - ref1
ER  -