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Digital Health Technology to Enhance Adolescent and Young Adult Clinical Preventive Services: Affordances and Challenges

Wong, Charlene A., Madanay, Farrah, Ozer, Elizabeth M., Harris, Sion K., Moore, Megan, Master, Samuel O., Moreno, Megan, Weitzman, Elissa R.·2020·Journal of Adolescent Health
DOI 10.1016/j.jadohealth.2019.10.018PMC PMC11925059
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Research works printed but not linked: 122

  1. Gray, 2005, Health information-seeking behaviour in adolescence: The place of the internet, Soc Sci Med, 60, 1467, 10.1016/j.socscimed.2004.08.010 · DOI · Paper page
  2. Ridgers, 2016, Feasibility and effectiveness of using wearable activity trackers in youth: A systematic review, JMIR Mhealth Uhealth, 4, 10.2196/mhealth.6540 · DOI
  3. Wong, 2014, Using social media to engage adolescents and young adults with their health, Healthc (Amst), 2, 220, 10.1016/j.hjdsi.2014.10.005 · DOI
  4. Majeed-Ariss, 2015, Apps and adolescents: A systematic review of adolescents' use of mobile phone and tablet apps that support personal management of their chronic or long-term physical conditions, J Med Internet Res, 17, e287, 10.2196/jmir.5043 · DOI · Paper page
  5. Gagnon, 2016, m-Health adoption by healthcare professionals: a systematic review, J Am Med Inform Assoc, 23, 212, 10.1093/jamia/ocv052 · DOI · Paper page
  6. Sawyer, 2012, Adolescence: A foundation for future health, Lancet, 379, 1630, 10.1016/S0140-6736(12)60072-5 · DOI · Paper page
  7. Ozer, 2005, Increasing the screening and counseling of adolescents for risky health behaviors: A primary care intervention, Pediatrics, 115, 960, 10.1542/peds.2004-0520 · DOI
  8. Rivers, 2008, Risk taking under the influence: A Fuzzy-Trace theory of emotion in adolescence, Dev Rev, 28, 107, 10.1016/j.dr.2007.11.002 · DOI
  9. Harris, 2017, Research on clinical preventive services for adolescents and young adults: Where are we and where do we need to go?, J Adolesc Health, 60, 249, 10.1016/j.jadohealth.2016.10.005 · DOI
  10. Lau, 2013, Receipt of preventive health services in young adults, J Adolesc Health, 52, 42, 10.1016/j.jadohealth.2012.04.017 · DOI
  11. Park, 2006, The health status of young adults in the United States, J Adolesc Health, 39, 305, 10.1016/j.jadohealth.2006.04.017 · DOI
  12. Ma, 2005, U.S. adolescents receive suboptimal preventive counseling during ambulatory care, J Adolesc Health, 36, 441, 10.1016/j.jadohealth.2004.08.024 · DOI
  13. Irwin, 2009, Preventive care for adolescents: Few get visits and fewer get services, Pediatrics, 123, e565, 10.1542/peds.2008-2601 · DOI
  14. Ozer, 2012, Young adult preventive health care guidelines: There but can't be found, Arch Pediatr Adolesc Med, 166, 240, 10.1001/archpediatrics.2011.794 · DOI
  15. Bhavnani, 2016, Mobile technology and the digitization of healthcare, Eur Heart J, 37, 1428, 10.1093/eurheartj/ehv770 · DOI
  16. Zhao, 2013, Conceptualizing perceived affordances in social media interaction design, Aslib Proc, 65, 289, 10.1108/00012531311330656 · DOI
  17. Sutcliffe, 2011, Social mediating technologies: Social affordances and functionalities, Int J Hum Comput Interact, 27, 1037, 10.1080/10447318.2011.555318 · DOI
  18. Hartson, 2003, Cognitive, physical, sensory, and functional affordances in interaction design, Behav Inform Technol, 22, 315, 10.1080/01449290310001592587 · DOI
  19. Schutte, 2008, Person–situation interaction in adaptive emotional functioning, Curr Psychol, 27, 102, 10.1007/s12144-008-9027-9 · DOI
  20. Wicks, 2015, ‘Trust but verify’–five approaches to ensure safe medical apps, BMC Med, 13, 205, 10.1186/s12916-015-0451-z · DOI
  21. Napolitano, 2013, Using Facebook and text messaging to deliver a weight loss program to college students, Obesity (Silver Spring), 21, 25, 10.1002/oby.20232 · DOI
  22. Baskerville, 2016, Effect of a digital social media campaign on young adult smoking cessation, Nicotine Tob Res, 18, 351, 10.1093/ntr/ntv119 · DOI
  23. Carol Miller, 2012, SOLVE-IT: Socially optimized learning in virtual environments: A web-delivered HIV prevention 3D game intervention for young at-risk MSM, J Mobile Technol Med, 1, 10, 10.7309/jmtm.34 · DOI
  24. Chung, 2017, Tweeting to health: A novel mHealth intervention using Fitbits and Twitter to foster healthy lifestyles, Clin Pediatr, 56, 26, 10.1177/0009922816653385 · DOI
  25. Lyles, 2017, A mobile, avatar-based app for improving body perceptions among adolescents: A pilot test, JMIR Serious Games, 5, 10.2196/games.6354 · DOI
  26. Klasnja, 2012, Healthcare in the pocket: Mapping the space of mobile-phone health interventions, J Biomed Inform, 45, 184, 10.1016/j.jbi.2011.08.017 · DOI · Paper page
  27. Mustanski, 2013, Feasibility, acceptability, and preliminary efficacy of an online HIV prevention program for diverse young men who have sex with men: The keep it up! Intervention, AIDS Behav, 17, 2999, 10.1007/s10461-013-0507-z · DOI
  28. Borzekowski, 2001, Adolescents, the Internet, and health: Issues of access and content, J Appl Dev Psychol, 22, 49, 10.1016/S0193-3973(00)00065-4 · DOI
  29. Li, 2015, Technology use and self-perceptions of English language skills among urban adolescents, Comput Assist Lang Learn, 28, 450, 10.1080/09588221.2014.881387 · DOI
  30. Divecha, 2012, Tweeting about testing: Do low-income, parenting adolescents and young adults use new media technologies to communicate about sexual health?, Perspect Sex Reprod Health, 44, 176, 10.1363/4417612 · DOI
  31. Valkenburg, 2006, Friend networking sites and their relationship to adolescents' well-being and social self-esteem, CyberPsychol Behav, 9, 584, 10.1089/cpb.2006.9.584 · DOI · Paper page
  32. Guse, 2012, Interventions using new digital media to improve adolescent sexual health: A systematic review, J Adolesc Health, 51, 535, 10.1016/j.jadohealth.2012.03.014 · DOI
  33. Tortolero, 2010, It's your game: Keep it real: Delaying sexual behavior with an effective middle school program, J Adolesc Health, 46, 169, 10.1016/j.jadohealth.2009.06.008 · DOI
  34. Majchrzak, 2013, The contradictory influence of social media affordances on online communal knowledge sharing, J Comput Mediat Commun, 19, 38, 10.1111/jcc4.12030 · DOI
  35. Cavallo, 2012, A social media-based physical activity intervention: A randomized controlled trial, Am J Prev Med, 43, 527, 10.1016/j.amepre.2012.07.019 · DOI
  36. Buzi, 2015, Talk with Tiff: Teen's inquiries to a sexual health website, J Sex Marital Ther, 41, 126, 10.1080/0092623X.2013.857375 · DOI
  37. Franklin, 2006, A randomized controlled trial of sweet talk, a text-messaging system to support young people with diabetes, Diabetic Med, 23, 1332, 10.1111/j.1464-5491.2006.01989.x · DOI · Paper page
  38. Dute, 2016, Using mobile apps to promote a healthy lifestyle among adolescents and students: A review of the theoretical basis and lessons learned, JMIR Mhealth Uhealth, 4, 10.2196/mhealth.3559 · DOI · Paper page
  39. Katzmarzyk, 2014, An evolving scientific basis for the prevention and treatment of pediatric obesity, Int J Obes (Lond), 38, 887, 10.1038/ijo.2014.49 · DOI
  40. Chen, 2015, The comparison of solitary and collaborative modes of game-based learning on students' science learning and motivation, J Educ Technol Soc, 18, 237
  41. Skinner, 2003, How adolescents use technology for health information: Implications for health professionals from focus group studies, J Med Internet Res, 5, e32, 10.2196/jmir.5.4.e32 · DOI
  42. Brayboy, 2017, Girl talk: A smartphone application to teach sexual health education to adolescent girls, J Pediatr Adolesc Gynecol, 30, 23, 10.1016/j.jpag.2016.06.011 · DOI
  43. Lim, 2014, Young people’s comfort receiving sexual health information via social media and other sources, Int J STD AIDS, 25, 1003, 10.1177/0956462414527264 · DOI
  44. Bull, 2012, Social media-delivered sexual health intervention: A cluster randomized controlled trial, Am J Prev Med, 43, 467, 10.1016/j.amepre.2012.07.022 · DOI
  45. Richman, 2014, Sexual behaviour and interest in using a sexual health mobile app to help improve and manage college students' sexual health, Sex Educ, 14, 310, 10.1080/14681811.2014.889604 · DOI
  46. Chen, 2016, A systematic review of apps using mobile criteria for adolescent pregnancy prevention (mCAPP), JMIR Mhealth Uhealth, 4, 10.2196/mhealth.6611 · DOI
  47. O'Dea, 2011, Healthy connections: Online social networks and their potential for peer support, Stud Health Technol Inform, 168, 133
  48. Carew, 2014, Using digital and social media metrics to develop mental health approaches for youth, Adolesc Psychiatry, 4, 116, 10.2174/221067660402140709122825 · DOI
  49. Walton, 2010, Effects of a brief intervention for reducing violence and alcohol misuse among adolescents: A randomized controlled trial, Jama, 304, 527, 10.1001/jama.2010.1066 · DOI
  50. Schwinn, 2010, Preventing drug abuse among adolescent girls: Outcome data from an internet-based intervention, Prev Sci, 11, 24, 10.1007/s11121-009-0146-9 · DOI
  51. Rodriguez, 2014, A systematic review of computerised serious educational games about alcohol and other drugs for adolescents, Drug Alcohol Rev, 33, 129, 10.1111/dar.12102 · DOI · Paper page
  52. Ip, 2014, Use of Internet viral marketing to promote smoke-free lifestyles among Chinese adolescents, PLoS One, 9, e99082, 10.1371/journal.pone.0099082 · DOI
  53. Elias-Lambert, 2015, Preventing substance abuse and relationship violence: Proof-of-concept evaluation of a social, multi-user, tablet-based game, Child Youth Serv Rev, 53, 201, 10.1016/j.childyouth.2015.04.007 · DOI
  54. Levine, 2011, Using technology, new media, and mobile for sexual and reproductive health, Sex Res Soc Policy, 8, 18, 10.1007/s13178-011-0040-7 · DOI
  55. O’Hara, 2013, Health learning practices in adolescents using physical activity, J Cases Inform Technol, 15, 83
  56. Schoenfelder, 2017, Piloting a mobile health intervention to increase physical activity for adolescents with ADHD, Prev Med Rep, 6, 210, 10.1016/j.pmedr.2017.03.003 · DOI
  57. Hooke, 2016, Use of a fitness tracker to promote physical activity in children with acute lymphoblastic leukemia, Pediatr Blood Cancer, 63, 684, 10.1002/pbc.25860 · DOI
  58. Schaefer, 2016, Wearing, thinking, and moving: Testing the feasibility of fitness tracking with urban youth, Am J Health Educ, 47, 8, 10.1080/19325037.2015.1111174 · DOI · Paper page
  59. Blumberg, 2011, From the playroom to the classroom: Children’s views of video game play and academic learning, Child Dev Perspect, 5, 99, 10.1111/j.1750-8606.2011.00163.x · DOI
  60. Carrotte, 2017, “Fitspiration” on social media: A content analysis of gendered images, J Med Internet Res, 19, 10.2196/jmir.6368 · DOI · Paper page
  61. Alvermann, 2012, Adolescents’ web-based literacies, identity construction, and skill development, Literacy Res Instruction, 51, 179, 10.1080/19388071.2010.523135 · DOI
  62. Palmer, 2015, ‘‘Poppin’bottles, getting wheysted.” Exploring young men’s engagement with fitspiration content and its consequential influences on attitudes and behaviour, J Promot Commun, 3
  63. Tiggemann, 2015, “Exercise to be fit, not skinny”: The effect of fitspiration imagery on women's body image, Body Image, 15, 61, 10.1016/j.bodyim.2015.06.003 · DOI · Paper page
  64. Orji, 2013, LunchTime: A slow-casual game for long-term dietary behavior change, Pers Ubiquit Comput, 17, 1211, 10.1007/s00779-012-0590-6 · DOI
  65. Markham, 2009, + CLICK: Harnessing web-based training to reduce secondary transmission among HIV-positive youth, AIDS Care, 21, 622, 10.1080/09540120802385637 · DOI
  66. Hswen, 2013, Virtual avatars, gaming, and social media: Designing a mobile health app to help children choose healthier food options, J Mobile Technol Med, 2, 8
  67. Mäntymäki, 2014, Digital natives in social virtual worlds: A multi-method study of gratifications and social influences in Habbo Hotel, Int J Inform Manage, 34, 210
  68. Sieverdes, 2017, Formative evaluation on cultural tailoring breathing awareness meditation smartphone apps to reduce stress and blood pressure, Mhealth, 3, 44, 10.21037/mhealth.2017.09.04 · DOI
  69. Gordon, 2017, Avatar-assisted therapy: A proof-of-concept pilot study of a novel technology-based intervention to treat substance use disorders, Am J Drug Alcohol Abuse, 43, 518, 10.1080/00952990.2017.1280816 · DOI
  70. Phelps, 2017, Necessary but not sufficient? Engaging young people in the development of an avatar-based online intervention designed to provide psychosocial support to young people affected by their own or a family member's cancer diagnosis, Health Expect, 20, 459, 10.1111/hex.12473 · DOI
  71. Utz, 2017, The relationship between use of social network sites, online social support, and well-being, J Media Psychol, 29, 115
  72. Moreno, 2014, Cyberbullying, JAMA Pediatr, 168, 500, 10.1001/jamapediatrics.2013.3343 · DOI
  73. Smith, 2008, Cyberbullying: Its nature and impact in secondary school pupils, J Child Psychol Psychiatry, 49, 376, 10.1111/j.1469-7610.2007.01846.x · DOI · Paper page
  74. LeRouge, 2015, Engaging adolescents in a computer-based weight management program: Avatars and virtual coaches could help, J Am Med Inform Assoc, 23, 19, 10.1093/jamia/ocv078 · DOI
  75. Byrne, 2012, Caring for mobile phone-based virtual pets can influence youth eating behaviors, J Child Media, 6, 83, 10.1080/17482798.2011.633410 · DOI
  76. DeHaan, 2013, The interplay between online and offline explorations of identity, relationships, and sex: A mixed-methods study with LGBT youth, J Sex Res, 50, 421
  77. Tate, 2013, mHealth approaches to child obesity prevention: successes, unique challenges, and next directions, Transl Behav Med, 3, 406, 10.1007/s13142-013-0222-3 · DOI
  78. St George, 2016, Access to and interest in using smartphone technology for the management of type 1 diabetes in ethnic minority adolescents and their parents, Diabetes Technol Ther, 18, 104, 10.1089/dia.2015.0086 · DOI
  79. Fölster, 2017, Viral mHealth, Glob Health Action, 10, 1336006, 10.1080/16549716.2017.1336006 · DOI
  80. Gordon, 2017, Lessons learned in the development and evaluation of RxCoach™, an mHealth app to increase tobacco cessation medication adherence, Patient Educ Couns, 100, 720, 10.1016/j.pec.2016.11.003 · DOI
  81. Maddison, 2009, Feasibility, design and conduct of a pragmatic randomized controlled trial to reduce overweight and obesity in children: The electronic games to aid motivation to exercise (eGAME) study, BMC Public Health, 9, 146, 10.1186/1471-2458-9-146 · DOI
  82. Lu, 2016, The narrative impact of active video games on physical activity among children: A Feasibility Study, J Med Internet Res, 18, 10.2196/jmir.6538 · DOI
  83. Cohen, 2016, Integrating patient-generated health data into clinical care settings or clinical decision-making: Lessons learned from project HealthDesign, JMIR Hum Factors, 3, e26, 10.2196/humanfactors.5919 · DOI
  84. Mamlin, 2016, The promise of information and communication technology in healthcare: Extracting value from the chaos, Am J Med Sci, 351, 59, 10.1016/j.amjms.2015.10.015 · DOI
  85. Kumar, 2016, Automated integration of continuous glucose monitor data in the electronic health record using consumer technology, J Am Med Inform Assoc, 23, 532, 10.1093/jamia/ocv206 · DOI · Paper page
  86. Ralston, 2004, Patients' experience with a diabetes support programme based on an interactive electronic medical record: Qualitative study, BMJ, 328, 1159, 10.1136/bmj.328.7449.1159 · DOI
  87. McGraw, 2015, Engaging patients while addressing their privacy concerns: The experience of project health design, Pers Ubiquit Comput, 19, 85, 10.1007/s00779-014-0809-9 · DOI
  88. Anand, 2012, Automated primary care screening in pediatric waiting rooms, Pediatrics, 129, e1275, 10.1542/peds.2011-2875 · DOI
  89. Anand, 2015, Leveraging electronic tablets for general pediatric care, Appl Clin Inform, 6, 1, 10.4338/ACI-2014-09-RA-0071 · DOI
  90. Matthews, 2008, Mobile phone mood charting for adolescents, Br J Guid Couns, 36, 113, 10.1080/03069880801926400 · DOI
  91. Kumar, 2013, Mobile health technology evaluation: The mHealth evidence workshop, Am J Prev Med, 45, 228, 10.1016/j.amepre.2013.03.017 · DOI · Paper page
  92. Spooner, 2007, Special requirements of electronic health record systems in pediatrics, Pediatrics, 119, 631, 10.1542/peds.2006-3527 · DOI
  93. Filkins, 2016, Privacy and security in the era of digital health: What should translational researchers know and do about it?, Am J Transl Res, 8, 1560
  94. Reid Chassiakos, 2016, Children and adolescents and digital media, Pediatrics, 138, 10.1542/peds.2016-2593 · DOI · Paper page
  95. Petersen, 2015, Legal and regulatory considerations associated with use of patient-generated health data from social media and mobile health (mHealth) devices, Appl Clin Inform, 6, 16, 10.4338/ACI-2014-09-R-0082 · DOI
  96. Sahoo, 2012, Efficient security mechanisms for mHealth applications using wireless body sensor networks, Sensors, 12, 12606, 10.3390/s120912606 · DOI
  97. Blenner, 2016, Privacy policies of Android diabetes apps and sharing of health information, JAMA, 315, 1051, 10.1001/jama.2015.19426 · DOI
  98. Micheti, 2010, Fixing broken doors: Strategies for drafting privacy policies young people can understand, Bull Sci Technol Soc, 30, 130, 10.1177/0270467610365355 · DOI
  99. Das, 2018, Privacy policies for apps targeted toward youth: Descriptive analysis of readability, JMIR Mhealth Uhealth, 6, e3, 10.2196/mhealth.7626 · DOI
  100. Foltz, 2016, An empirical investigation of factors that influence individual behavior toward changing social networking security settings, J Theor Appl Electron Commerce Res, 11, 1
  101. Moreno, 2014, Young adult females' views regarding online privacy protection at two time points, J Adolesc Health, 55, 347, 10.1016/j.jadohealth.2014.03.005 · DOI
  102. Grindrod, 2018, Evaluating authentication options for mobile health applications in younger and older adults, PLoS One, 13, e0189048, 10.1371/journal.pone.0189048 · DOI
  103. Rose, 2011, The security implications of ubiquitous social media, Int J Manage Inform Syst, 15, 35
  104. Society for Adolescent, H., 2014, Recommendations for electronic health record use for delivery of adolescent health care, J Adolesc Health, 54, 487, 10.1016/j.jadohealth.2014.01.011 · DOI
  105. Metzger, 2003, College student Web use, perceptions of information credibility, and verification behavior, Comput Educ, 41, 271, 10.1016/S0360-1315(03)00049-6 · DOI · Paper page
  106. Weitzman, 2011, Social but safe? Quality and safety of diabetes-related online social networks, J Am Med Inform Assoc, 18, 292, 10.1136/jamia.2010.009712 · DOI
  107. Seltzer, 2015, The content of social media's shared images about Ebola: A retrospective study, Public health, 129, 1273, 10.1016/j.puhe.2015.07.025 · DOI
  108. Hausmann, 2017, Adolescent and young adult use of social media for health and its implications, J Adolesc Health, 60, 714, 10.1016/j.jadohealth.2016.12.025 · DOI
  109. Landry, 2017, Social media and sexual behavior among adolescents: Is there a link?, JMIR Public Health Surveill, 3, 10.2196/publichealth.7149 · DOI · Paper page
  110. Moreno, 2011, Social networking sites and adolescent health: New opportunities and new challenges, ISJLP, 7, 57
  111. Litt, 2011, Adolescent alcohol-related risk cognitions: The roles of social norms and social networking sites, Psychol Addict Behav, 25, 708, 10.1037/a0024226 · DOI
  112. Ferguson, 2015, The validity of consumer-level, activity monitors in healthy adults worn in free-living conditions: A cross-sectional study, Int J Behav Nutr Phys Act, 12, 42, 10.1186/s12966-015-0201-9 · DOI · Paper page
  113. Leininger, 2016, Validation and accuracy of FITBIT charge: A pilot study in a university worksite walking program, J Fitness Res, 5, 3
  114. Wang, 2017, Accuracy of wrist-worn heart rate monitors, JAMA Cardiol, 2, 104, 10.1001/jamacardio.2016.3340 · DOI · Paper page
  115. Gusmer, 2014, Comparison of FitBit® Ultra to ActiGraph™ GT1M for assessment of physical activity in young adults during treadmill walking, Open Sports Med J, 8, 10.2174/1874387001408010011 · DOI
  116. Shcherbina, 2017, Accuracy in wrist-worn, sensor-based measurements of heart rate and energy expenditure in a diverse cohort, J Pers Med, 7
  117. Dean, 2016, Assessment, assurance, and actuation: The use of activity trackers to monitor physical activity in a pediatric population with congenital heart disease, Can J Cardiol, 32, S130
  118. Tudor-Locke, 2004, How many steps/day are enough?, Sports Med, 34, 1, 10.2165/00007256-200434010-00001 · DOI · Paper page
  119. Adams, 2013, Steps/day translation of the moderate-to-vigorous physical activity guideline for children and adolescents, Int J Behav Nutr Phys Act, 10, 49, 10.1186/1479-5868-10-49 · DOI
  120. Veazie, 2018, Rapid evidence review of mobile applications for self-management of diabetes, J Gen Intern Med, 33, 1167, 10.1007/s11606-018-4410-1 · DOI · Paper page
  121. Boudreaux, 2014, Evaluating and selecting mobile health apps: Strategies for healthcare providers and healthcare organizations, Transl Behav Med, 4, 363, 10.1007/s13142-014-0293-9 · DOI
  122. Nath, 2016, Website sharing in online health communities: A descriptive analysis, J Med Internet Res, 18, 10.2196/jmir.5237 · DOI

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Metadata

Authors
Wong, C. A., Madanay, F., Ozer, E. M., Harris, S. K., Moore, M., Master, S. O., Moreno, M., & Weitzman, E. R.
ORCID
Venue
Journal of Adolescent Health
Publisher
Elsevier BV
Published
2020-08
Volume
67
Issue
2
Pages
S24-S33
ISSN
1054-139X
DOI
10.1016/j.jadohealth.2019.10.018
PMC
PMC11925059
Cited by
111
References
21
Language
en
Licence
Funders
  • Health Resources and Services Administration
  • U.S. Department of Health and Human Services
  • Honeywell Hometown Solutions (T71MC00003, T32HP22239, T71MC00006, UA6MC27378, T71MC00009)
  • National Science Foundation (IIS-1344670)
  • National Heart, Lung, and Blood Institute (IIS-1344803, 1K23HL141689)

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CoChat. (2026). Citation check: Digital Health Technology to Enhance Adolescent and Young Adult Clinical Preventive Services: Affordances and Challenges. https://app.cochat.ai/papers/10.1016/j.jadohealth.2019.10.018
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Wong, C. A., Madanay, F., Ozer, E. M., Harris, S. K., Moore, M., Master, S. O., Moreno, M., & Weitzman, E. R. (2020). Digital Health Technology to Enhance Adolescent and Young Adult Clinical Preventive Services: Affordances and Challenges. Journal of Adolescent Health. https://doi.org/10.1016/j.jadohealth.2019.10.018