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Electronic Health Risk Behavior Screening With Integrated Feedback Among Adolescents in Primary Care: Randomized Controlled Trial

Electronic Health Risk Behavior Screening With Integrated Feedback Among Adolescents in Primary Care: Randomized Controlled Trial

The tool tested in this study (Figure 1; see additional examples in Multimedia Appendix 1) is a modified version of a previously tested tool [21]. The modifications were made to increase youth engagement with the tool and increase the ease with which clinicians can interpret the results with changes based on adolescent and clinician input gathered through a human-centered design process [22]. The tool also generated a printed one-page clinician summary of adolescent-reported behaviors.

Laura Richardson, Elizabeth Oshrin Parker, Chuan Zhou, Julie Kientz, Elizabeth Ozer, Carolyn McCarty

J Med Internet Res 2021;23(3):e24135

Adolescents’ Perspectives on Using Technology for Health: Qualitative Study

Adolescents’ Perspectives on Using Technology for Health: Qualitative Study

Adolescents are avid users of new technologies, with a quarter of adolescents online almost constantly and almost all (92%) online daily [1]. Most teens (84%) have used the internet to search health topics online, 21% have downloaded mobile apps, 12% have played a health-related game, and 7% have worn a wearable health device [2].

Ana Radovic, Carolyn A. McCarty, Katherine Katzman, Laura P. Richardson

JMIR Pediatr Parent 2018;1(1):e2

Adolescents’ Perspectives on Personalized E-Feedback in the Context of Health Risk Behavior Screening for Primary Care: Qualitative Study

Adolescents’ Perspectives on Personalized E-Feedback in the Context of Health Risk Behavior Screening for Primary Care: Qualitative Study

Participants were recruited primarily from an adolescent-focused, academic clinic in Seattle, WA using a purposive sampling approach [27]. We selectively approached potential participants in the waiting area of the clinic to recruit a sample with approximately equal numbers of males and females and 13-15 and 16-18 year olds. Regarding race and ethnicity, we aimed to draw a sample representative of the Seattle area. Some participants were also recruited through flyers and word of mouth.

Garret G G Zieve, Laura P Richardson, Katherine Katzman, Heather Spielvogle, Sandy Whitehouse, Carolyn A McCarty

J Med Internet Res 2017;19(7):e261