Equity and behavioral digital health interventions: Strategies to improve benefit and reach

Author:

Miller Sarah J1ORCID,Sly Jamilia R1,Alcaraz Kassandra I2,Ashing Kimlin3,Christy Shannon M45,Gonzalez Brian45,Lu Qian6,Newton Robert L7,Redmond Michelle8,Shen Megan9,Thomas-Purcell Kamilah10,Yi Jean9,Veinot Tiffany11ORCID,Meade Cathy D45

Affiliation:

1. Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai , New York, NY , USA

2. Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University , Baltimore, MD , USA

3. City of Hope , CA , USA

4. Department of Health Outcomes and Behavior, Division of Population Science, H. Lee Moffitt Cancer Center and Research Institute , Tampa, FL , USA

5. Department of Oncologic Sciences, Morsani College of Medicine, University of South Florida , Tampa, FL , USA

6. University of Texas MD Anderson Cancer Center , Houston, TX , USA

7. Population and Public Health, Pennington Biomedical Research Center , Baton Rouge, LA , USA

8. University of Kansas School of Medicine-Wichita , Wichita, KS , USA

9. Fred Hutchinson Cancer Center , Seattle, WA , USA

10. Nova Southeastern University, College of Healthcare Sciences, Department of Health Science , Ft. Lauderdale, FL , USA

11. School of Information and School of Public Health, University of Michigan , Ann Arbor, MI , USA

Abstract

Abstract 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.

Funder

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Behavioral Neuroscience,Applied Psychology

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