The Usability and Acceptability of an Adolescent mHealth HIV/STI and Drug Abuse Preventive Intervention in Primary Care

References

• Centers for Disease Control and Prevention. HIV surveillance report, 2013. Atlanta, Georgia: Division of HIV/AIDS Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, U.S. Department of Health and Human Services; 2015; 25: 1-82.
   Google Scholar
• Kann L, Kinchen S, Shanklin SL, et al.: MMWR Surveillance Summaries Youth risk behavior surveillance-United States, 2013. Atlanta, GA: Center for Surveillance, Epidemiology, and Laboratory Services, Centers for Disease Control and Prevention, U.S. Department of Health and Human Services; 2014; 63: 1-168.
   Google Scholar
• Johnston LD, O'Malley PM, Miech RA, et al.: Monitoring the future national survey results on drug use: 1975–2014: overview, key findings on adolescent drug use. Ann Arbor, MI: Institute for Social Research, University of Michigan; 2015.
   Google Scholar
• Cordova D, Huang S, Arzon M, Freitas D, Malcolm S, Prado G: The role of attitudes, family, peer and school on alcohol use, rule breaking and aggressive behavior in Hispanic delinquent adolescents. Open Fam Stud J. 2011; 4: 38.
   PubMedGoogle Scholar
• Cordova D, Huang S, Lally M, et al.: Do parent-adolescent discrepancies in family functioning increase the risk of Hispanic adolescent HIV risk behaviors? Fam Process. 2014; 53: 348–363.
   PubMed Web of Science ®Google Scholar
• NIH HIV/AIDS research priorities and guidelines for determining aids funding: http://grants.nih.gov/grants/guide/notice-files/NOT-OD-15-137.html. Accessed August 12, 2015.
   Google Scholar
• National Institutes of Health: mHealth—mobile health technologies. https://obssr.od.nih.gov/scientific_areas/methodology/mhealth/. Accessed October 13, 2015.
   Google Scholar
• Waller N, Moynihan L, Cordova D: Preventing substance abuse and HIV among adolescents in a primary care setting. J Subst Abus Alcohol. 2014; 2: 1006-1007.
   Google Scholar
• Mason M, Pate P, Drapkin M, et al.: Motivational interviewing integrated with social network counseling for female adolescents: a randomized pilot study in urban primary care. J Subst Abuse Treat. 2011; 41: 148–155.
   PubMed Web of Science ®Google Scholar
• Noar SM: Computer technology-based interventions in HIV prevention: state of the evidence and future directions for research. AIDS Care. 2011; 23: 525–533.
   PubMed Web of Science ®Google Scholar
• Turner SD, Anderson K, Slater M, et al.: Rapid point-of-care HIV testing in youth: a systematic review. J Adolesc Heal. 2013; 53: 683–691.
   PubMed Web of Science ®Google Scholar
• Jones DJ: Future directions in the design, development, and investigation of technology as a service delivery vehicle. J Clin Child Adolesc Psychol. 2014; 43: 128–142.
   PubMed Web of Science ®Google Scholar
• Cordova D, Bauermeister J, Fessler K, et al.: A community-engaged approach to developing a mHealth HIV/STI and drug abuse preventive intervention for primary care. JMIR mHealth uHealth. 2015; 3: 1-19.
   Google Scholar
• Nelson A, Arthur B: Storytelling for empowerment: decreasing at-risk youth's alcohol and marijuana use. J Prim Prev. 2003; 24: 169–180.
   Google Scholar
• Nelson A, Cordova D, Walters A, et al.: Storytelling for empowerment for Latino teens: increasing HIV prevention knowledge and attitudes. J Adolesc Res. 2015; 31: 202-231.
   Google Scholar
• Perkins D, Zimmerman MA: Empowerment theory, research and application. Am J Community Psychol. 1995; 23: 569–579.
   PubMed Web of Science ®Google Scholar
• Prado G, Huang S, Cordova D, et al.: Ecodevelopmental and intrapersonal moderators of a family based preventive intervention for Hispanic youth: a latent profile analysis. Prevention Science. 2013; 14: 290–299.
   PubMed Web of Science ®Google Scholar
• Israel BA: Methods for community-based participatory research for health. 2nd ed. San Francisco: Jossey-Bass; 2013.
   Google Scholar
• Robertson EB, David SL, Rao SA: Preventing drug use among children and adolescents: a research-based guide for parents, educators, and community leaders. 2nd ed. Darby, PA: DIANE Publishing; 2003.
   Google Scholar
• Nelson A: Multicultural model of HIV prevention for youth. Int J Learn. 2005; 11: 1555–1564.
   Google Scholar
• Lenhart, A: Teen, social media and technology overview 2015. Pew Research Center; April 2015.
   Google Scholar
• Anderson, M: The demographics of device ownership. Pew Research Center; October, 2015.
   Google Scholar
• Ranney ML, Choo EK, Cunningham RM, et al.: Acceptability, language, and structure of text message-based behavioral interventions for high-risk adolescent females: a qualitative study. J Adolesc Heal. 2014; 55: 33–40.
   PubMed Web of Science ®Google Scholar
• Szapocznik J, Coatsworth JD: An ecodevelopmental framework for organizing the influences on drug abuse: a developmental model of risk and protection. In: Hartel CR, Glantz MD: eds. Drug Abuse: Origins and Interventions. Washington, DC: American Psychological Association; 1999: 31–366.
   Google Scholar
• Harris PA, Taylor R, Thielke R, et al.: Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009; 42: 377–381.
   PubMed Web of Science ®Google Scholar
• NVivo qualitative data analysis Software. Burlington, MA: QSR International Pty; 2012.
   Google Scholar
• Graneheim UH, Lundman B: Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness. Nurse Educ Today. 2004; 24: 105–112.
   PubMed Web of Science ®Google Scholar
• Morrow SL: Quality and trustworthiness in qualitative research in counseling psychology. J Couns Psychol. 2005; 52: 250–260.
   Web of Science ®Google Scholar
• Harper GW, Contreras R, Bangi A, et al.: Collaborative process evaluation. J Prev Interv Community. 2003; 26: 53–69.
   Google Scholar
• Larsen DL, Attkisson CC, Hargreaves WA, et al.: Assessment of client/patient satisfaction: development of a general scale. Eval Program Plann. 1979; 2: 197–207.
   PubMedGoogle Scholar
• IBM SPSS Statistics for Windows. Armonk, NY: IBM Corp; 2014.
   Google Scholar
• Aitken M, Gauntlett C: Patient apps for improved healthcare from novelty to mainstream. IMS Inst Healthcare Informatics. 2013; 61.
   Google Scholar
• Danaher BG, Brendryen H, Seeley JR, et al.: From black box to toolbox: outlining device functionality, engagement activities, and the pervasive information architecture of mHealth interventions. Internet Interv. 2015; 2: 91–101.
   PubMedGoogle Scholar
• Tylee A, Haller DM, Graham T, et al.: Youth-friendly primary-care services: how are we doing and what more needs to be done? Lancet. 2007; 369: 1565–1573.
   PubMed Web of Science ®Google Scholar
• Lightfoot M: HIV Prevention for adolescents: where do we go from here? Am Psychol. 2012; 67: 661–671.
   PubMed Web of Science ®Google Scholar
• Bohnert KM, Walton MA, Resko S, et al.: Latent class analysis of substance use among adolescents presenting to urban primary care clinics. Am J Drug Alcohol Abuse. 2014; 40: 44–50.
   PubMed Web of Science ®Google Scholar
• Hing E, Hooker RS: Community health centers: providers, patients, and content of care. NCHS Data Brief. 2011; 65: 1–8.
   Google Scholar
• US Preventive Services Task Force: The Guide to Clinical Preventive Services 2014. Rockville, MD: Agency for Healthcare Research & Quality; 2014.
   Google Scholar
• Ford CA: Celebrating progress in adolescent health and optimism for the future. J Adolesc Heal. 2014; 55: 458–462.
   PubMed Web of Science ®Google Scholar
• Walton MA, Bohnert K, Resko S, et al.: Computer and therapist based brief interventions among cannabis-using adolescents presenting to primary care: one year outcomes. Drug Alcohol Depend. 2013; 132: 646–653.
   PubMed Web of Science ®Google Scholar
• Mohr DC, Burns MN, Schueller SM, et al.: Behavioral intervention technologies: evidence review and recommendations for future research in mental health. Gen Hosp Psychiatry. 2013; 35: 332–338.
   PubMed Web of Science ®Google Scholar
• Garland, R: The mid-point on a rating scale: is it desirable? Marketing Bulletin. 1991; 2: 66–70.
   Google Scholar
• Tello J, Cervantes RC, Cordova D, Santos SM: Joven noble: evaluation of a culturally focused youth development program. J Community Psychol. 2010; 38: 799–811.
   Web of Science ®Google Scholar
• Malcolm S, Huang S, Cordova D, et al.: Predicting condom use attitudes, norms, and control beliefs in Hispanic problem behavior youth the effects of family functioning and parent–adolescent communication about sex on condom use. Health Education & Behavior. 2013; 40: 384–391.
   PubMed Web of Science ®Google Scholar