In this section
@article{Choi:2021:10.1111/eip.13038,
author = {Choi, I and Ho, N and Morris, R and Harvey, SB and Calvo, RA and Glozier, N},
doi = {10.1111/eip.13038},
journal = {Early Intervention in Psychiatry: the development, onset and treatment of emerging mental disorders},
pages = {932--941},
title = {The impact of communicating personal mental ill-health risk: A randomized controlled non-inferiority trial},
url = {http://dx.doi.org/10.1111/eip.13038},
volume = {15},
year = {2021}
}
TY - JOUR
AB - AimRisk algorithms predicting personal mental illhealth will form an important component of digital and personalized preventive interventions, yet it is unknown whether informing people of personal risk may cause unintended harm. This trial evaluated the comparative effect of communicating personal mental illhealth risk profiles on psychological distress.MethodsAustralian participants using a moodmonitoring app were randomly allocated to receiving their current personal mental illhealth risk profile (n = 119), their achievable personal risk profile (n = 118) or to a control group (n = 118) in which no risk information was communicated, in a noninferiority trial design. The primary outcome was psychological distress at fourweeks as assessed on the Kessler Psychological Distress Scale.ResultsThere was high attrition in the trial with 64% of data missing at follow up. Perprotocol (completer) analysis found that the lower bounds of the confidence intervals of the estimated mean change of the current risk (m = 0.19, 95% CI: −2.59 2.98) and achievable risk (m = −0.09, 95% CI: −2.84 to 2.66) groups were within the noninferiority margin of the control group's mean at follow up. Supplementary intentiontotreat analysis using Multivariate Imputation by Chained Equations (MICE) found that 98/100 imputed datasets of the current risk profile group, and all imputed datasets of the achievable risk profile group showed noninferiority to the control group.ConclusionsThis study provides preliminary support that providing personal mental health risk profiles does not lead to unacceptable worsening of distress compared to no risk feedback, although this needs to be replicated in a fully powered RCT.
AU - Choi,I
AU - Ho,N
AU - Morris,R
AU - Harvey,SB
AU - Calvo,RA
AU - Glozier,N
DO - 10.1111/eip.13038
EP - 941
PY - 2021///
SN - 1751-7885
SP - 932
TI - The impact of communicating personal mental ill-health risk: A randomized controlled non-inferiority trial
T2 - Early Intervention in Psychiatry: the development, onset and treatment of emerging mental disorders
UR - http://dx.doi.org/10.1111/eip.13038
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000569109300001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
VL - 15
ER -
Dyson School of Design Engineering
Imperial College London
25 Exhibition Road
South Kensington
London
SW7 2DB
design.engineering@imperial.ac.uk
Tel: +44 (0) 20 7594 8888