TY - GEN
T1 - A Pilot Study of a Personalized Just-in-Time Adaptive mHealth App to Promote Adherence and Protocol Effect Size for Pediatric Anxiety Disorders
AU - Singal, Vishakha
AU - Gary, Kevin
AU - Pina, Armando
AU - Stoll, Ryan
AU - Amresh, Ashish
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Mobile health applications have the potential for addressing chronic health conditions, but challenges exist in adherence, or the extent to which a patient conducts the activities defined in a clinical protocol. High levels of adherence should lead to greater effects of the intervention; the greater fidelity to the protocol, the more benefit one should receive from the protocol. Further, this delivery mechanism supports just-in-time 'micro' interventions, or smaller yet more frequent dosages of skill practice. mHealth has limitations in these areas; the ability of patients to sustainably adhere to a protocol, and to drive intervention effect sizes. This research considers personalized just-in-time adaptive micro-interventions as a potential remedy to these limitations. Specifically, in the context of a pediatric anxiety protocol, we introduce an approach to drive greater levels of adherence and effect sizes by incorporating per-patient information. This approach has been implemented within an mHealth app for middle school that was successfully pilot-tested in the Phoenix area. The number of users is small (n=3) so a case-by-case analysis of app usage is presented. Simulated user behaviors based on models of adherence and effect sizes over time are presented as a means to demonstrate the potential impact of personalized deployments on a larger scale.
AB - Mobile health applications have the potential for addressing chronic health conditions, but challenges exist in adherence, or the extent to which a patient conducts the activities defined in a clinical protocol. High levels of adherence should lead to greater effects of the intervention; the greater fidelity to the protocol, the more benefit one should receive from the protocol. Further, this delivery mechanism supports just-in-time 'micro' interventions, or smaller yet more frequent dosages of skill practice. mHealth has limitations in these areas; the ability of patients to sustainably adhere to a protocol, and to drive intervention effect sizes. This research considers personalized just-in-time adaptive micro-interventions as a potential remedy to these limitations. Specifically, in the context of a pediatric anxiety protocol, we introduce an approach to drive greater levels of adherence and effect sizes by incorporating per-patient information. This approach has been implemented within an mHealth app for middle school that was successfully pilot-tested in the Phoenix area. The number of users is small (n=3) so a case-by-case analysis of app usage is presented. Simulated user behaviors based on models of adherence and effect sizes over time are presented as a means to demonstrate the potential impact of personalized deployments on a larger scale.
KW - adherence
KW - anxiety
KW - chronic disease
KW - mHealth
KW - personalized interventions
UR - http://www.scopus.com/inward/record.url?scp=85203806187&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85203806187&partnerID=8YFLogxK
U2 - 10.1109/SeGAH61285.2024.10639564
DO - 10.1109/SeGAH61285.2024.10639564
M3 - Conference contribution
AN - SCOPUS:85203806187
T3 - SeGAH 2024 - 2024 IEEE 12th International Conference on Serious Games and Applications for Health
BT - SeGAH 2024 - 2024 IEEE 12th International Conference on Serious Games and Applications for Health
A2 - Rodrigues, Nuno
A2 - Bermudez I Badia, Sergi
A2 - Vilaca, Joao L.
A2 - Duque, Duarte
A2 - da Silva Cameirao, Monica
A2 - Dias, Nuno
A2 - Oliveira, Eva
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE International Conference on Serious Games and Applications for Health, SeGAH 2024
Y2 - 7 August 2024 through 9 August 2024
ER -