TY - JOUR
T1 - Equity and behavioral digital health interventions
T2 - Strategies to improve benefit and reach
AU - Miller, Sarah J.
AU - Sly, Jamilia R.
AU - Alcaraz, Kassandra I.
AU - Ashing, Kimlin
AU - Christy, Shannon M.
AU - Gonzalez, Brian
AU - Lu, Qian
AU - Newton, Robert L.
AU - Redmond, Michelle
AU - Shen, Megan
AU - Thomas-Purcell, Kamilah
AU - Yi, Jean
AU - Veinot, Tiffany
AU - Meade, Cathy D.
N1 - Publisher Copyright:
© 2023 Society of Behavioral Medicine. All rights reserved.
PY - 2023/6/1
Y1 - 2023/6/1
N2 - Background: Behavioral digital health interventions (e.g., mobile apps, websites, wearables) have been applied widely to improve health outcomes. However, many groups (e.g., people with low income levels, people who are geographically isolated, older adults) may face obstacles to technology access and use. In addition, research has found that biases and stereotypes can be embedded within digital health interventions. As such, behavioral digital health interventions that intend to improve overall population health may unintentionally widen health-related inequities. Purpose: This commentary offers guidance and strategies to mitigate these risks when using technology as a means for delivering a behavioral health intervention. Methods: A collaborative working group from Society of Behavioral Medicine's Health Equity Special Interest Group developed a framework to center equity in the development, testing and dissemination of behavioral digital health interventions. Results: We introduce Partner, Identify, Demonstrate, Access, Report (PIDAR), a 5-point framework to avoid the creation, perpetuation, and/or widening of health inequities in behavioral digital health work. Conclusions: It is critically important to prioritize equity when conducting digital health research. The PIDAR framework can serve as a guide for behavioral scientists, clinicians and developers.
AB - Background: Behavioral digital health interventions (e.g., mobile apps, websites, wearables) have been applied widely to improve health outcomes. However, many groups (e.g., people with low income levels, people who are geographically isolated, older adults) may face obstacles to technology access and use. In addition, research has found that biases and stereotypes can be embedded within digital health interventions. As such, behavioral digital health interventions that intend to improve overall population health may unintentionally widen health-related inequities. Purpose: This commentary offers guidance and strategies to mitigate these risks when using technology as a means for delivering a behavioral health intervention. Methods: A collaborative working group from Society of Behavioral Medicine's Health Equity Special Interest Group developed a framework to center equity in the development, testing and dissemination of behavioral digital health interventions. Results: We introduce Partner, Identify, Demonstrate, Access, Report (PIDAR), a 5-point framework to avoid the creation, perpetuation, and/or widening of health inequities in behavioral digital health work. Conclusions: It is critically important to prioritize equity when conducting digital health research. The PIDAR framework can serve as a guide for behavioral scientists, clinicians and developers.
KW - Behavioral health
KW - Digital health
KW - Framework
KW - Health equity
UR - http://www.scopus.com/inward/record.url?scp=85163907096&partnerID=8YFLogxK
U2 - 10.1093/tbm/ibad010
DO - 10.1093/tbm/ibad010
M3 - Review article
C2 - 36940409
AN - SCOPUS:85163907096
SN - 1869-6716
VL - 13
SP - 400
EP - 405
JO - Translational Behavioral Medicine
JF - Translational Behavioral Medicine
IS - 6
ER -