Automated Mobile Phone-Based Mental Health Resource for Homeless Youth: Pilot Study Assessing Feasibility and Acceptability

Angela C Glover, Stephen M Schueller, Dominika A Winiarski, Dale L Smith, Niranjan S Karnik, Alyson K Zalta, Angela C Glover, Stephen M Schueller, Dominika A Winiarski, Dale L Smith, Niranjan S Karnik, Alyson K Zalta

Abstract

Background: Youth experiencing housing instability have higher rates of mental health problems than their housed peers. Few studies have evaluated technological resources for homeless youth to determine how to effectively engage and reach them.

Objective: The primary aims of this pilot study were to establish the feasibility (as measured by phone retention rates) and acceptability (ie, participant ratings of resources) of delivering automated mental health resources via smartphone technology.

Methods: Youth aged 16 to 25 years (N=100) were recruited through homeless shelter agencies in the Chicago metropolitan area. Eligible participants completed a baseline assessment and received a smartphone with a 3-month data plan. The phone was preloaded with several apps designed to promote mental health wellness and provide real-time resources. One app specifically designed for this study, Pocket Helper 2.0, sent participants daily surveys and tips via push notification. The tips focused on coping and motivation, and the surveys assessed mood. This app also included an automated self-help system with brief cognitive behavioral interventions (5-10 min) and access to several interactive mobile tools, including a crisis text line, a telephone hotline, a crowd-based emotional support tool, and an app providing up-to-date information on social service and mental health resources for homeless youth in Chicago. Participants completed assessments at 3 and 6 months.

Results: Some individuals (23%, 23/100) experienced problems with the phones (eg, theft, loss, and technological issues) throughout the study. Participant retention at the midpoint was moderate, with 48% (48/100) of youth responding to the 3-month surveys. At 6 months, only 19% (19/100) of the total sample responded to the end point survey. Overall, 63% (30/48) to 68% (13/19) of respondents at both time points reported benefiting from the intervention; however, participant usage and satisfaction varied with the different features. At both time points, participants reported receiving the most benefit from the daily tips and daily surveys. Daily tips that were most preferred by participants involved motivational tips related to overcoming struggles and making progress in life. Aside from the tips and surveys, the most used features were the app providing up-to-date resources and the automated self-help system. Interactive features, including the telephone hotline and crowd-based emotional support tool, were the least used features and were rated as the least beneficial.

Conclusions: Automated mental health interventions seem to be an acceptable way to engage homeless youth in mental health support. The participants preferred fully automated features and brief interventions over features requiring interaction with others or more engagement. Future research should explore ways to retain homeless youth in interventions and evaluate the clinical impact of automated technology-based interventions for improving mental health.

Trial registration: ClinicalTrials.gov NCT03776422; https://ichgcp.net/clinical-trials-registry/NCT03776422.

Keywords: homelessness; mHealth; mental health; mobile phone; telemedicine; treatment; young adult.

Conflict of interest statement

Conflicts of Interest: None declared.

©Angela C Glover, Stephen M. Schueller, Dominika A Winiarski, Dale L Smith, Niranjan S Karnik, Alyson K Zalta. Originally published in JMIR Mental Health (http://mental.jmir.org), 11.10.2019.

Figures

Figure 1
Figure 1
Example of a daily tip in the Pocket Helper 2.0 app.
Figure 2
Figure 2
Phone distribution and reasons for replacement.
Figure 3
Figure 3
Self-reported benefit of intervention features at the 3-month midpoint. N/A: not applicable.
Figure 4
Figure 4
Self-reported benefit of intervention features at the 6-month end point. N/A: not applicable.

References

    1. National Alliance to End Homelessness. 2019. Jan, [2019-09-23]. Youth and Young Adults
    1. Chicago Coalition for the Homeless. [2019-09-23]. 2016 Estimate of Homeless People In Chicago .
    1. Atkinson NL, Gold RS. The promise and challenge of eHealth interventions. Am J Health Behav. 2002;26(6):494–503. doi: 10.5993/ajhb.26.6.10.
    1. Pew Research Center. 2019. [2019-09-23]. Mobile Fact Sheet
    1. Perrin A, Kumar M. Pew Research Center. 2019. [2019-09-23]. About Three-in-ten US Adults Say They Are ‘Almost Constantly’ Online .
    1. McInnes DK, Li AE, Hogan TP. Opportunities for engaging low-income, vulnerable populations in health care: a systematic review of homeless persons' access to and use of information technologies. Am J Public Health. 2013 Dec;103(Suppl 2):e11–24. doi: 10.2105/AJPH.2013.301623.
    1. Post LA, Vaca FE, Doran KM, Luco C, Naftilan M, Dziura J, Brandt C, Bernstein S, Jagminas L, D'Onofrio G. New media use by patients who are homeless: the potential of mHealth to build connectivity. J Med Internet Res. 2013 Sep 3;15(9):e195. doi: 10.2196/jmir.2724.
    1. Rice E, Lee A, Taitt S. Cell phone use among homeless youth: potential for new health interventions and research. J Urban Health. 2011 Dec;88(6):1175–82. doi: 10.1007/s11524-011-9624-z.
    1. Marsch L, Lord S, Dallery J. Behavioral Healthcare and Technology: Using Science-based Innovations to Transform Practice. New York, NY: Oxford University Press; 2015.
    1. Farrer L, Gulliver A, Chan JK, Batterham PJ, Reynolds J, Calear A, Tait R, Bennett K, Griffiths KM. Technology-based interventions for mental health in tertiary students: systematic review. J Med Internet Res. 2013 May 27;15(5):e101. doi: 10.2196/jmir.2639.
    1. Naslund J, Marsch L, McHugo G, Bartels SJ. Emerging mHealth and eHealth interventions for serious mental illness: a review of the literature. J Ment Health. 2015;24(5):321–32. doi: 10.3109/09638237.2015.1019054.
    1. Donker T, Petrie K, Proudfoot J, Clarke J, Birch M, Christensen H. Smartphones for smarter delivery of mental health programs: a systematic review. J Med Internet Res. 2013 Nov 15;15(11):e247. doi: 10.2196/jmir.2791.
    1. Berrouiguet S, Baca-García E, Brandt S, Walter M, Courtet P. Fundamentals for future mobile-health (mHealth): a systematic review of mobile phone and web-based text messaging in mental health. J Med Internet Res. 2016 Jun 10;18(6):e135. doi: 10.2196/jmir.5066.
    1. Aguilera A, Schueller S. Leveraging mobile technologies to improve mental health in underserved populations: lessons learned from Latino immigrants and homeless populations. Behav Ther. 2018;41(4):208–12.
    1. Rice E, Tulbert E, Cederbaum J, Adhikari AB, Milburn NG. Mobilizing homeless youth for HIV prevention: a social network analysis of the acceptability of a face-to-face and online social networking intervention. Health Educ Res. 2012 Apr;27(2):226–36. doi: 10.1093/her/cyr113.
    1. Naranbhai V, Abdool Karim Q, Meyer-Weitz A. Interventions to modify sexual risk behaviours for preventing HIV in homeless youth. Cochrane Database Syst Rev. 2011 Jan 19;(1):CD007501. doi: 10.1002/14651858.CD007501.pub2.
    1. Bender K, Schau N, Begun S, Haffejee B, Barman-Adhikari A, Hathaway J. Electronic case management with homeless youth. Eval Program Plan. 2015 Jun;50:36–42. doi: 10.1016/J.EVALPROGPLAN.2015.02.002.
    1. Bender K, Begun S, DePrince A, Haffejee B, Kaufmann S. Utilizing technology for longitudinal communication with homeless youth. Soc Work Health Care. 2014 Oct;53(9):865–82. doi: 10.1080/00981389.2014.925532.
    1. Schueller SM, Glover AC, Rufa AK, Dowdle CL, Gross GD, Karnik NS, Zalta AK. A mobile phone-based intervention to improve mental health among homeless young adults: pilot feasibility trial. JMIR Mhealth Uhealth. 2019 Jul 2;7(7):e12347. doi: 10.2196/12347.
    1. Spek V, Cuijpers P, Nyklícek I, Riper H, Keyzer J, Pop V. Internet-based cognitive behaviour therapy for symptoms of depression and anxiety: a meta-analysis. Psychol Med. 2007 Mar;37(3):319–28. doi: 10.1017/S0033291706008944.
    1. Andersson G, Cuijpers P. Pros and cons of online cognitive-behavioural therapy. Br J Psychiatry. 2008 Oct;193(4):270–1. doi: 10.1192/bjp.bp.108.054080.
    1. Andersson G, Cuijpers P. Internet-based and other computerized psychological treatments for adult depression: a meta-analysis. Cogn Behav Ther. 2009;38(4):196–205. doi: 10.1080/16506070903318960.
    1. Hilvert-Bruce Z, Rossouw PJ, Wong N, Sunderland M, Andrews G. Adherence as a determinant of effectiveness of internet cognitive behavioural therapy for anxiety and depressive disorders. Behav Res Ther. 2012 Aug;50(7-8):463–8. doi: 10.1016/j.brat.2012.04.001.
    1. Kelders SM, Bohlmeijer ET, Pots WT, van Gemert-Pijnen JE. Comparing human and automated support for depression: fractional factorial randomized controlled trial. Behav Res Ther. 2015 Sep;72:72–80. doi: 10.1016/j.brat.2015.06.014.
    1. Aardoom JJ, Dingemans AE, Spinhoven P, van Ginkel JR, de Rooij M, van Furth EF. Web-based fully automated self-help with different levels of therapist support for individuals with eating disorder symptoms: a randomized controlled trial. J Med Internet Res. 2016 Jun 17;18(6):e159. doi: 10.2196/jmir.5709.
    1. Mira A, Bretón-López J, García-Palacios A, Quero S, Baños RM, Botella C. An internet-based program for depressive symptoms using human and automated support: a randomized controlled trial. Neuropsychiatr Dis Treat. 2017;13:987–1006. doi: 10.2147/NDT.S130994. doi: 10.2147/NDT.S130994.
    1. Fitzpatrick KK, Darcy A, Vierhile M. Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): a randomized controlled trial. JMIR Ment Health. 2017 Jun 6;4(2):e19. doi: 10.2196/mental.7785.
    1. Mohr DC, Cuijpers P, Lehman K. Supportive accountability: a model for providing human support to enhance adherence to eHealth interventions. J Med Internet Res. 2011 Mar 10;13(1):e30. doi: 10.2196/jmir.1602.
    1. National Alliance to End Homelessness. 2012. Jan 18, [2019-09-23]. Changes in the HUD Definition of 'Homeless'
    1. Stanger C, Budney AJ, Kamon JL, Thostensen J. A randomized trial of contingency management for adolescent marijuana abuse and dependence. Drug Alcohol Depend. 2009 Dec 1;105(3):240–7. doi: 10.1016/j.drugalcdep.2009.07.009.
    1. Morris RR, Schueller SM, Picard RW. Efficacy of a web-based, crowdsourced peer-to-peer cognitive reappraisal platform for depression: randomized controlled trial. J Med Internet Res. 2015 Mar 30;17(3):e72. doi: 10.2196/jmir.4167.
    1. Morris RR, Kouddous K, Kshirsagar R, Schueller SM. Towards an artificially empathic conversational agent for mental health applications: system design and user perceptions. J Med Internet Res. 2018 Jun 26;20(6):e10148. doi: 10.2196/10148.
    1. Illinois Mental Health Collaborative for Access and Choice. [2019-09-23]. Individual and Family Contacts .
    1. Crisis Text Line. [2019-09-23].
    1. Mohr DC, Tomasino KN, Lattie EG, Palac HL, Kwasny MJ, Weingardt K, Karr CJ, Kaiser SM, Rossom RC, Bardsley LR, Caccamo L, Stiles-Shields C, Schueller SM. IntelliCare: an eclectic, skills-based app suite for the treatment of depression and anxiety. J Med Internet Res. 2017 Jan 5;19(1):e10. doi: 10.2196/jmir.6645.
    1. Google Play. 2017. [2017-03-03]. StreetLight Chicago .
    1. Bernstein DP, Stein JA, Newcomb MD, Walker E, Pogge D, Ahluvalia T, Stokes J, Handelsman L, Medrano M, Desmond D, Zule W. Development and validation of a brief screening version of the Childhood Trauma Questionnaire. Child Abuse Negl. 2003 Feb;27(2):169–90. doi: 10.1016/s0145-2134(02)00541-0.
    1. Pilkonis PA, Choi SW, Reise SP, Stover AM, Riley WT, Cella D, PROMIS Cooperative Group Item banks for measuring emotional distress from the Patient-Reported Outcomes Measurement Information System (PROMIS®): depression, anxiety, and anger. Assessment. 2011 Sep;18(3):263–83. doi: 10.1177/1073191111411667.
    1. Cook KF, Jensen SE, Schalet BD, Beaumont JL, Amtmann D, Czajkowski S, Dewalt DA, Fries JF, Pilkonis PA, Reeve BB, Stone AA, Weinfurt KP, Cella D. PROMIS measures of pain, fatigue, negative affect, physical function, and social function demonstrated clinical validity across a range of chronic conditions. J Clin Epidemiol. 2016 May;73:89–102. doi: 10.1016/j.jclinepi.2015.08.038.
    1. Adkins EC, Zalta AK, Boley RA, Glover A, Karnik NS, Schueller SM. Exploring the potential of technology-based mental health services for homeless youth: a qualitative study. Psychol Serv. 2017 May;14(2):238–45. doi: 10.1037/ser0000120.
    1. Schueller SM, Hunter JF, Figueroa C, Aguilera A. Use of digital mental health for marginalized and underserved populations. Curr Treat Options Psych. 2019 Jul 5;6(3):243–55. doi: 10.1007/s40501-019-00181-z.
    1. Schmitt Z, Yarosh S. Participatory Design of Technologies to Support Recovery from Substance Use Disorders. Proceedings of the ACM on Human-Computer Interaction - CSCW; CSCW'18; 2018; New York, NY. 2018. pp. 1–27.
    1. Proudfoot J, Nicholas J. Oxford Guide to Low Intensity CBT Interventions. New York, NY: Oxford University Press; 2010. Monitoring and evaluation in low intensity CBT interventions; pp. 97–104.
    1. Kauer SD, Reid SC, Crooke AH, Khor A, Hearps SJ, Jorm AF, Sanci L, Patton G. Self-monitoring using mobile phones in the early stages of adolescent depression: randomized controlled trial. J Med Internet Res. 2013;14(3):e67. doi: 10.2196/jmir.1858.
    1. Wenzel S, Holloway I, Golinelli D, Ewing B, Bowman R, Tucker J. Social networks of homeless youth in emerging adulthood. J Youth Adolesc. 2012 May;41(5):561–71. doi: 10.1007/s10964-011-9709-8.
    1. Buhi ER, Klinkenberger N, Hughes S, Blunt HD, Rietmeijer C. Teens' use of digital technologies and preferences for receiving STD prevention and sexual health promotion messages: implications for the next generation of intervention initiatives. Sex Transm Dis. 2013 Jan;40(1):52–4. doi: 10.1097/OLQ.0b013e318264914a.
    1. Skierkowski D, Wood RM. To text or not to text? The importance of text messaging among college-aged youth. ‎Comput Hum Behav. 2012 Mar;28(2):744–56. doi: 10.1002/iub.1366. doi: 10.1016/j.chb.2011.11.023.
    1. Karabanow J, Clement P. Interventions with street youth: a commentary on the practice-based research literature. Brief Treat Crisis Interv. 2004;4(1):93–108. doi: 10.1093/brief-treatment/mhh007.
    1. Hudson AL, Nyamathi A, Sweat J. Homeless youths' interpersonal perspectives of health care providers. Issues Ment Health Nurs. 2008 Dec;29(12):1277–89. doi: 10.1080/01612840802498235.
    1. Clarke AM, Kuosmanen T, Barry MM. A systematic review of online youth mental health promotion and prevention interventions. J Youth Adolesc. 2015 Jan;44(1):90–113. doi: 10.1007/s10964-014-0165-0.
    1. Rideout V, Fox S. Well Being Trust. 2018. [2019-09-22]. Digital Health Practices, Social Media Use, and Mental Well-Being Among Teens and Young Adults in the US

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