TY - JOUR
T1 - The needle in the haystack
T2 - Identifying credible mobile health apps for pediatric populations during a pandemic and beyond
AU - Psihogios, Alexandra M.
AU - Stiles-Shields, Colleen
AU - Neary, Martha
N1 - Funding Information:
The writing of this article was supported from a grant from the National Cancer Institute to AMP (1K08CA241335-01). Conflicts of interest: None declared.
Publisher Copyright:
© The Author(s) 2020. Published by Oxford University Press on behalf of the Society of Pediatric Psychology.
PY - 2021
Y1 - 2021
N2 - Background The COVID-19 pandemic has ignited wider clinical adoption of digital health tools, including mobile health apps (mHealth apps), to address mental and behavioral health concerns at a distance. While mHealth apps offer many compelling benefits, identifying effective apps in the crowded and largely unregulated marketplace is laborious. Consumer demand and industry productivity are increasing, although research is slower, making it challenging for providers to determine the most credible and safe apps for patients in need. Objectives/Methods This commentary offers a practical, empirically guided framework and associated resources for selecting appropriate mHealth apps for pediatric populations during the pandemic and beyond. Results In the first stage, Narrow the target problem, end user, and contender apps. Beginning the search with continuously updated websites that contain expert app ratings can help expedite this process (e.g., Psyberguide). Second, Explore each contender app's: (a) scientific and theoretical support (e.g., are app components consistent with health behavior change theories?), (b) privacy policies, and (c) user experience (e.g., through crowdsourcing feedback about app usability and appeal via social media). Third, use clinical expertise and stakeholder feedback to Contextualize whether the selected app is a good fit for a particular patient and/or caregiver (e.g., by considering age, race/ethnicity, ability, gender, sexual orientation, technology access), including conducting a brief self-pilot of the app. Conclusion Youth are increasingly turning to technology for support, especially during the pandemic, and pediatric psychologists must be primed to recommend the most credible tools. We offer additional recommendations for rapidly disseminating evidence-based apps to the public.
AB - Background The COVID-19 pandemic has ignited wider clinical adoption of digital health tools, including mobile health apps (mHealth apps), to address mental and behavioral health concerns at a distance. While mHealth apps offer many compelling benefits, identifying effective apps in the crowded and largely unregulated marketplace is laborious. Consumer demand and industry productivity are increasing, although research is slower, making it challenging for providers to determine the most credible and safe apps for patients in need. Objectives/Methods This commentary offers a practical, empirically guided framework and associated resources for selecting appropriate mHealth apps for pediatric populations during the pandemic and beyond. Results In the first stage, Narrow the target problem, end user, and contender apps. Beginning the search with continuously updated websites that contain expert app ratings can help expedite this process (e.g., Psyberguide). Second, Explore each contender app's: (a) scientific and theoretical support (e.g., are app components consistent with health behavior change theories?), (b) privacy policies, and (c) user experience (e.g., through crowdsourcing feedback about app usability and appeal via social media). Third, use clinical expertise and stakeholder feedback to Contextualize whether the selected app is a good fit for a particular patient and/or caregiver (e.g., by considering age, race/ethnicity, ability, gender, sexual orientation, technology access), including conducting a brief self-pilot of the app. Conclusion Youth are increasingly turning to technology for support, especially during the pandemic, and pediatric psychologists must be primed to recommend the most credible tools. We offer additional recommendations for rapidly disseminating evidence-based apps to the public.
KW - Chronic illness
KW - Computer applications/eHealth
KW - Health behavior
KW - Mental health
KW - Professional
KW - Training issues
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U2 - 10.1093/JPEPSY/JSAA094
DO - 10.1093/JPEPSY/JSAA094
M3 - Article
C2 - 33068424
AN - SCOPUS:85094931492
SN - 0146-8693
VL - 45
SP - 1106
EP - 1113
JO - Journal of pediatric psychology
JF - Journal of pediatric psychology
IS - 10
ER -