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Designing an Evidence-based Mental Health Intervention Alongside University Students

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Human-Computer Interaction (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14014))

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Abstract

Digital mental health tools can help university students access cost-effective and timely resources for mental health challenges. However, direct involvement by university students during the design of these tools has been limited. Early involvement can help design teams understand how mental health applications can tailor support to student’s unique needs alongside evidence-based interventions. We used a participatory design approach to understand how we might translate an in-person, evidence-based intervention into a mobile application for university students. Our findings indicate that students perceived the need for the application to (1) provide healthy reminders, (2) connect with peers and counselors, (3) support personalized experiences and (4) teach informational and instrumental life skills. We discuss implications for designing evidence-based mental health applications for university students to balance their need for customized support for self-help and professional help.

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Notes

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    Whimsical: https://whimsical.com/.

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References

  1. O’Leary, K., Bhattacharya, A., Munson, S. A., Wobbrock, J. O., Pratt, W. Design opportunities for mental health peer support technologies. In: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, pp. 1470–1484 (2017). https://doi.org/10.1145/2998181.2998349

  2. Kelley, C., Lee, B., Wilcox, L. Self-tracking for mental wellness: understanding expert perspectives and student experiences. In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 629–641 (2017). https://doi.org/10.1145/3025453.3025750

  3. Schroeder, J., et al.: Data-driven implications for translating evidence-based psychotherapies into technology-delivered interventions. In: Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare, pp. 274–287 (2020). https://doi.org/10.1145/3421937.3421975

  4. Moraveji, N., Adiseshan, A., Hagiwara, T. Breathtray: augmenting respiration self-regulation without cognitive deficit. In: CHI 2012 Extended Abstracts on Human Factors in Computing Systems, pp. 2405–2410 (2012). https://doi.org/10.1145/2212776.2223810

  5. Lattie, E.G., Kornfield, R., Ringland, K.E., Zhang, R., Winquist, N., Reddy, M.: Designing mental health technologies that support the social ecosystem of college students. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1–15 (2020). https://doi.org/10.1145/3313831.3376362

  6. Park, S.Y.: Social support mosaic: understanding mental health management practice on college campus. In: Proceedings of the 2018 Designing Interactive Systems Conference, pp. 121–133. (2018). https://doi.org/10.1145/3196709.3196787

  7. Rohani, D.A., et al.: Personalizing mental health: a feasibility study of a mobile behavioral activation tool for depressed patients. In: Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, pp. 282–291 (2019). https://doi.org/10.1145/3329189.3329214

  8. Chan, L.T., Wallace, J.R.: Changing peer support attitudes with avatar-based gamification. In: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, pp. 1–5 (2018). https://doi.org/10.1145/3170427.3188497

  9. Canzian, L., Musolesi, M.: Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 1293–1304). (2015). https://doi.org/10.1145/2750858.2805845

  10. Wang, R., et al.: StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones. In: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 3–14 (2014). https://doi.org/10.1145/2632048.2632054

  11. Schroeder, J., et al.: Pocket skills: a conversational mobile web app to support dialectical behavioral therapy. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pp. 1–15 (2018). https://doi.org/10.1145/3173574.3173972

  12. Williams, L., et al.: Analysis of distance-based mental health support for underrepresented university students. In: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, pp. 1–6 (2021). https://doi.org/10.1145/3411763.3451708

  13. Eisenberg, D., Golberstein, E., Hunt, J. B. Mental health and academic success in college. BE J. Econ. Anal. Policy. 9(1) (2009). https://doi.org/10.2202/1935-1682.2191

  14. Seering, J., Wang, T., Yoon, J., Kaufman, G.: Moderator engagement and community development in the age of algorithms. New Med. Soc. 21(7), 1417–1443 (2019). https://doi.org/10.1177/1461444818821316

    Article  Google Scholar 

  15. Looney, A., Yannelis, C.: A crisis in student loans?: How changes in the characteristics of borrowers and in the institutions they attended contributed to rising loan defaults. Brook. Pap. Econ. Act. 2015(2), 1–89 (2015). https://doi.org/10.1353/eca.2015.0003

    Article  Google Scholar 

  16. Hoxby, C.M., Turner, S.: What high-achieving low-income students know about college. Am. Econ. Rev. 105(5), 514–517 (2015). https://doi.org/10.1257/aer.p20151027

    Article  Google Scholar 

  17. Matthews, M., et al.: Development and evaluation of a smartphone-based measure of social rhythms for bipolar disorder. Assessment 23(4), 472–483 (2016). https://doi.org/10.1177/107319111665679

    Article  Google Scholar 

  18. DiSalvo, C., Clement, A., Pipek, V. Participatory design for, with, and by communities. In: International Handbook of Participatory Design, pp. 182–209 (2012)

    Google Scholar 

  19. Hashimov, E. Qualitative data analysis: a methods sourcebook and the coding manual for qualitative researchers. In: Miles, M.B., Michael Huberman, A., Saldaña, J., (eds.), pp. 308–381. SAGE, Thousand Oaks, CA, 2014 (2015)

    Google Scholar 

  20. Hoefer, M.J.D., Van Kleunen, L., Goodby, C., Blackburn, L.B., Panati, P., Voida, S. The multiplicative patient and the clinical workflow: clinician perspectives on social interfaces for self-tracking and managing bipolar disorder. In: Designing Interactive Systems Conference 2021, pp. 907–925 (2021). https://doi.org/10.1145/3461778.3461995

  21. Wadley, G., Lederman, R., Gleeson, J., Alvarez-Jimenez, M.: Participatory design of an online therapy for youth mental health. In: Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration, pp. 517–526 (2013). https://doi.org/10.1145/2541016.2541030

  22. Ospina-Pinillos, L., Davenport, T., Mendoza Diaz, A., Navarro-Mancilla, A., Scott, E.M., Hickie, I.B.: Using participatory design methodologies to co-design and culturally adapt the Spanish version of the mental health eClinic: qualitative study. J. Med. Internet Res. 21(8), e14127 (2019). https://doi.org/10.2196/14127

    Article  Google Scholar 

  23. Hodson, E., Dadashi, N., Delgado, R., Chisholm, C., Sgrignoli, R., Swaine, R.: Co-design in mental health; mellow: a self-help holistic crisis planning mobile application by youth, for youth. Des. J. 22(sup1), 1529–1542 (2019). https://doi.org/10.1080/14606925.2019.1594975

    Article  Google Scholar 

  24. Tee, S., Özçetin, Y.S.Ü.: Promoting positive perceptions and person centred care toward people with mental health problems using co-design with nursing students. Nurse Educ. Today 44, 116–120 (2016). https://doi.org/10.1016/j.nedt.2016.05.024

    Article  Google Scholar 

  25. Larkin, M., Boden, Z. V., Newton, E. On the brink of genuinely collaborative care: experience-based co-design in mental health. Qual. Health Res. 25(11), 1463–1476 (2015).https://doi.org/10.1177/1049732315576494

  26. Bonar, E.E., Chapman, L., Goldstick, J.E., Young, S.D., Bauermeister, J.A., Walton, M.A.: Feasibility and acceptability of a social media intervention for cannabis use in emerging adults. In: SPR Virtual 29th Annual Meeting. SPR (2021)

    Google Scholar 

  27. Jaganath, D., Gill, H.K., Cohen, A.C., Young, S.D.: Harnessing Online Peer Education (HOPE): integrating C-POL and social media to train peer leaders in HIV prevention. AIDS Care 24(5), 593–600 (2012). https://doi.org/10.1080/09540121.2011.630355

    Article  Google Scholar 

  28. Carlana, M., La Ferrara, E., Pinotti, P.: Goals and gaps: educational careers of immigrant children. Econometrica 90(1), 1–29 (2022). https://doi.org/10.3982/ECTA17458

    Article  MathSciNet  Google Scholar 

  29. Horwedel, D.M.: The misinformation about financial aid. Divers. Issues High. Educ. 23(14), 34 (2006)

    Google Scholar 

  30. Phippen, A., Bond, E., Buck, E. Effective strategies for information literacy education: combatting ‘fake news’ and empowering critical thinking. In: Future Directions in Digital Information, pp. 39–53. Chandos Publishing. (2021). https://doi.org/10.1016/B978-0-12-822144-0.00003-3

  31. Martinez, S.M., Frongillo, E.A., Leung, C., Ritchie, L.: No food for thought: food insecurity is related to poor mental health and lower academic performance among students in California’s public university system. J. Health Psychol. 25(12), 1930–1939 (2020). https://doi.org/10.1177/1359105318783028

    Article  Google Scholar 

  32. Cénat, J.M., Dalexis, R.D., Kokou-Kpolou, C.K., Mukunzi, J.N., Rousseau, C.: Social inequalities and collateral damages of the COVID-19 pandemic: when basic needs challenge mental health care. Int. J. Public Health 65(6), 717–718 (2020). https://doi.org/10.1007/s00038-020-01426-y

    Article  Google Scholar 

  33. Weaver, L.J., Hadley, C.: Moving beyond hunger and nutrition: a systematic review of the evidence linking food insecurity and mental health in developing countries. Ecol. Food Nutr. 48(4), 263–284 (2009). https://doi.org/10.1080/03670240903001167

    Article  Google Scholar 

  34. Goodwin, J., Behan, L., Kelly, P., McCarthy, K., Horgan, A.: Help-seeking behaviors and mental well-being of first year undergraduate university students. Psychiatry Res. 246, 129–135 (2016). https://doi.org/10.1016/j.psychres.2016.09.015

    Article  Google Scholar 

  35. Mehr, K.E., Daltry, R.: Examining mental health differences between transfer and nontransfer university students seeking counseling services. J. Coll. Stud. Psychother. 30(2), 146–155 (2016). https://doi.org/10.1080/87568225.2016.1140996

    Article  Google Scholar 

  36. Bhattacharya, A., Nagar, R., Jenness, J., Munson, S.A., Kientz, J.A.: Designing asynchronous remote support for behavioral activation in teenagers with depression: formative study. JMIR Form. Res. 5(7), e20969 (2021). https://doi.org/10.2196/20969

    Article  Google Scholar 

  37. Arthur-Nyarko, E., Agyei, D.D., Armah, J.K.: Digitizing distance learning materials: measuring students’ readiness and intended challenges. Educ. Inf. Technol. 25(4), 2987–3002 (2020). https://doi.org/10.1007/s10639-019-10060-y

    Article  Google Scholar 

  38. Rozgonjuk, D., Elhai, J.D., Ryan, T., Scott, G.G.: Fear of missing out is associated with disrupted activities from receiving smartphone notifications and surface learning in college students. Comput. Educ. 140, 103590 (2019). https://doi.org/10.1016/j.compedu.2019.05.016

    Article  Google Scholar 

  39. Griffin, R. A. Socially distant but digitally connected: how one online literacy teacher educator responded to the COVID-19 pandemic. Teaching/Writing: J. Writing Teach. Educ. 9(1), 13 (2020). https://scholarworks.wmich.edu/wte/vol9/iss1/13

  40. Sullivan, M.: Development of a Scalable Self-Regulation Intervention in Support of Lifelong Learning for First-year Engineering Students (Master’s thesis, Schulich School of Engineering) (2019). http://dx.doi.org/10.11575/PRISM/37080

  41. Woodward, J., Chen, Y.P., Jurczyk, K., Ross, K.M., Anthony, L., Ruiz, J.: A survey of notification designs in commercial mHealth apps. In: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, pp. 1–7 (2021). https://doi.org/10.1145/3411763.3451639

  42. Lee, R.A., Jung, M.E.: Evaluation of an mhealth app (destressify) on university students’ mental health: pilot trial. JMIR Mental Health 5(1), e8324 (2018). https://doi.org/10.2196/mental.8324

    Article  Google Scholar 

  43. Alqahtani, F., Winn, A., Orji, R.: Co-designing a mobile app to improve mental health and well-being: focus group study. JMIR Form. Res. 5(2), e18172 (2021). https://doi.org/10.2196/18172

    Article  Google Scholar 

  44. Bakker, D., Kazantzis, N., Rickwood, D., Rickard, N.: Mental health smartphone apps: review and evidence-based recommendations for future developments. JMIR Mental Health 3(1), e4984 (2016). https://doi.org/10.2196/mental.4984

    Article  Google Scholar 

  45. Reetz, D. R., Krylowicz, B., Mistler, B. The association for university and college counseling center directors annual survey. Retrieved from Association for University and College Counseling Center Directors (2016). https://www.aucccd.org/director-surveys-public

  46. Eisenberg, D., Golberstein, E., Gollust, S. E. Help-seeking and access to mental health care in a university student population. Medical Care, pp. 594–601 (2007)

    Google Scholar 

  47. Palmer, K.M., Henderson, S.G.: College students’ attitudes about mental health-related content in mobile apps. J. Technol. Behav. Sci. 4(4), 381–389 (2019). https://doi.org/10.1007/s41347-019-00102-0

    Article  Google Scholar 

  48. Kern, A., Hong, V., Song, J., Lipson, S. K., Eisenberg, D.: Mental health apps in a college setting: openness, usage, and attitudes. Mhealth 4 (2018). https://doi.org/10.21037/mhealth.2018.06.01

  49. Levin, M.E., Hicks, E.T., Krafft, J.: Pilot evaluation of the stop, breathe & think mindfulness app for student clients on a college counseling center waitlist. J. Am. Coll. Health 70(1), 165–173 (2022). https://doi.org/10.1080/07448481.2020.1728281

    Article  Google Scholar 

  50. Melcher, J., Camacho, E., Lagan, S., Torous, J.: College student engagement with mental health apps: analysis of barriers to sustained use. J. Am. Coll. Health 70(6), 1819–1825 (2022). https://doi.org/10.1080/07448481.2020.1825225

    Article  Google Scholar 

  51. Wood, J.R., Wood, L.E.: Card sorting: current practices and beyond. J. Usability Stud. 4(1), 1–6 (2008)

    Google Scholar 

  52. Truong, K N., Hayes, G.R., Abowd, G.D. Storyboarding: an empirical determination of best practices and effective guidelines. In: Proceedings of the 6th conference on Designing Interactive systems, pp. 12–21 (2006). https://doi.org/10.1145/1142405.1142410

  53. Peavey, E. K., Zoss, J., Watkins, N.: Simulation and mock-up research methods to enhance design decision making. HERD: Health Environ. Res. Des. J. 5(3), 133–144. (2012). https://doi.org/10.1177/193758671200500313

  54. LeRouge, C., Ma, J., Sneha, S., Tolle, K.: User profiles and personas in the design and development of consumer health technologies. Int. J. Med. Inform. 82(11), e251–e268 (2013). https://doi.org/10.1016/j.ijmedinf.2011.03.006

    Article  Google Scholar 

  55. Zhang, R.E., Ringland, K., Paan, M.C., Mohr, D., Reddy, M.: Designing for Emotional Well-being: integrating persuasion and customization into mental health technologies. In: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pp. 1–13 (2021). https://doi.org/10.1145/3411764.3445771

  56. Donker, T., Blankers, M., Hedman, E., Ljotsson, B., Petrie, K., Christensen, H.: Economic evaluations of Internet interventions for mental health: a systematic review. Psychol. Med. 45(16), 3357–3376 (2015). https://doi.org/10.1017/S0033291715001427

    Article  Google Scholar 

  57. Torous, J., Nicholas, J., Larsen, M.E., Firth, J., Christensen, H.: Clinical review of user engagement with mental health smartphone apps: evidence, theory and improvements. BMJ Ment Health 21(3), 116–119 (2018). https://doi.org/10.1136/eb-2018-102891

    Article  Google Scholar 

  58. Baumel, A., Muench, F., Edan, S., Kane, J.M.: Objective user engagement with mental health apps: systematic search and panel-based usage analysis. J. Med. Internet Res. 21(9), e14567 (2019). https://doi.org/10.2196/14567

    Article  Google Scholar 

  59. Pratap, A., et al.: Indicators of retention in remote digital health studies: a cross-study evaluation of 100,000 participants. NPJ Digit. Med. 3(1), 21 (2020). https://doi.org/10.1038/s41746-020-0224-8

  60. Torous, J., et al.: Characterizing smartphone engagement for schizophrenia: results of a naturalist mobile health study. Clin. Schizophrenia Relat. Psychoses. (2017). https://doi.org/10.3371/csrp.jtps.071317

    Article  Google Scholar 

  61. Flett, J.A.M., Hayne, H., Riordan, B.C., Thompson, L.M., Conner, T.S.: Mobile mindfulness meditation: a randomised controlled trial of the effect of two popular apps on mental health. Mindfulness 10(5), 863–876 (2018). https://doi.org/10.1007/s12671-018-1050-9

    Article  Google Scholar 

  62. Johnson, K.F., Kalkbrenner, M.T.: The utilization of technological innovations to support college student mental health: Mobile health communication. J. Technol. Hum. Serv. 35(4), 314–339 (2017). https://doi.org/10.1080/15228835.2017.1368428

    Article  Google Scholar 

  63. Xiong, J., et al.: Impact of COVID-19 pandemic on mental health in the general population: a systematic review. J. Affect. Disorders. 277, 55–64 (2020). https://doi.org/10.1016/j.jad.2020.08.001

  64. Mowbray, C.T., et al.: Campus mental health services: Recommendations for change. Am. J. Orthopsych. 76(2), 226–237. (2006). https://doi.org/10.1037/0002-9432.76.2.226

  65. Morey, B.N.: Mechanisms by which anti-immigrant stigma exacerbates racial/ethnic health disparities. Am. J. Public Health 108(4), 460–463 (2018). https://doi.org/10.2105/AJPH.2017.304266

    Article  Google Scholar 

  66. Browning, M.H., et al.: Psychological impacts from COVID-19 among university students: Risk factors across seven states in the United States. PloS one. 16(1), e0245327 (2021). https://doi.org/10.1371/journal.pone.0245327

  67. Eisenberg, D., Hunt, J., Speer, N.: Mental health in American colleges and universities: variation across student subgroups and across campuses. J. Nerv. Ment. Dis. 201(1), 60–67 (2013). https://doi.org/10.1097/NMD.0b013e31827ab077

    Article  Google Scholar 

  68. Herman, S., Archambeau, O.G., Deliramich, A.N., Kim, B.S., Chiu, P.H., Frueh, B.C.: Depressive symptoms and mental health treatment in an ethnoracially diverse college student sample. J. Am. Coll. Health 59(8), 715–720 (2011). https://doi.org/10.1080/07448481.2010.529625

    Article  Google Scholar 

  69. Dosaj, A., et al.: Rapid implementation of telehealth services during the COVID-19 pandemic. Telemed. e-Health 27(2), 116–120 (2021). https://doi.org/10.1089/tmj.2020.0219

    Article  Google Scholar 

  70. Aguilera, A., Muench, F.: There’s an app for that: information technology applications for cognitive behavioral practitioners. Behav. Ther. AABT. 35(4), 65 (2012). PMID: 25530659; PMCID: PMC4270287

    Google Scholar 

  71. Veazie, S., Bourne, D., Peterson, K., Anderson, J. Evidence brief: video telehealth for primary care and mental health services (2019)

    Google Scholar 

  72. Pedrelli, P., Nyer, M., Yeung, A., Zulauf, C., Wilens, T.: College students: mental health problems and treatment considerations. Acad. Psychiatry 39(5), 503–511 (2014). https://doi.org/10.1007/s40596-014-0205-9

    Article  Google Scholar 

  73. Fripp, J.A., Carlson, R.G.: Exploring the influence of attitude and stigma on participation of African American and Latino populations in mental health services. J. Multicult. Couns. Dev. 45(2), 80–94 (2017). https://doi.org/10.1002/jmcd.12066

    Article  Google Scholar 

  74. Kumar, S., Bhukar, J.P.: Stress level and coping strategies of college students. J. Phys. Educ. Sports Manage. 4(1), 5–11 (2013). https://doi.org/10.5897/JPESM12.001

    Article  Google Scholar 

  75. Huberty, J., Green, J., Glissmann, C., Larkey, L., Puzia, M., Lee, C.: Efficacy of the mindfulness meditation mobile app “calm’’ to reduce stress among college students: Randomized controlled trial. JMIR Mhealth Uhealth 7(6), e14273 (2019). https://doi.org/10.2196/14273

    Article  Google Scholar 

  76. Horgan, A., Sweeney, J.: Young students’ use of the Internet for mental health information and support. J. Psychiatr. Ment. Health Nurs. 17(2), 117–123 (2010). https://doi.org/10.1111/j.1365-2850.2009.01497.x

    Article  Google Scholar 

  77. Mohr, D.C., et al.: IntelliCare: an eclectic, skills-based app suite for the treatment of depression and anxiety. J. Med. Internet Res. 19(1), e10 (2017). https://doi.org/10.2196/jmir.6645

  78. Ash, M., Harrison, T., Pinto, M., DiClemente, R., Negi, L.T.: A model for cognitively-based compassion training: theoretical underpinnings and proposed mechanisms. Soc. Theory Health 19, 43–67 (2021). https://doi.org/10.1057/s41285-019-00124-x

    Article  Google Scholar 

  79. Martin, B., Hanington, B., Hanington, B.M.: Universal methods of design: 100 ways to research complex problems, develop innovative ideas, and design effective solutions. Rockport Pub

    Google Scholar 

  80. Turner, J.C., Leno, E.V., Keller, A.: Causes of mortality among American college students: a pilot study. J. Coll. Stud. Psychother. 27(1), 31–42 (2013). https://doi.org/10.1080/87568225.2013.739022

    Article  Google Scholar 

  81. Duffy, M.E., Twenge, J.M., Joiner, T.E.: Trends in mood and anxiety symptoms and suicide-related outcomes among US undergraduates, 2007–2018: Evidence from two national surveys. J. Adolesc. Health 65(5), 590–598 (2019). https://doi.org/10.1016/j.jadohealth.2019.04.033

    Article  Google Scholar 

  82. Scott, K.M., et al.: Association of mental disorders with subsequent chronic physical conditions: world mental health surveys from 17 countries. JAMA Psychiatry. 73(2), 150–158 (2016). https://doi.org/10.1001/jamapsychiatry.2015.2688

  83. Blanco, C., Okuda, M., Wright, C., Hasin, D.S., Grant, B.F., Liu, S.M., Olfson, M.: Mental health of college students and their non-college-attending peers: results from the national epidemiologic study on alcohol and related conditions. Arch. Gen. Psychiatry 65(12), 1429–1437 (2008). https://doi.org/10.1001/archpsyc.65.12.1429

    Article  Google Scholar 

  84. Xiao, H., Carney, D.M., Youn, S.J., Janis, R.A., Castonguay, L.G., Hayes, J.A., Locke, B.D.: Are we in crisis? National mental health and treatment trends in college counseling centers. Psychol. Serv. 14(4), 407 (2017). https://doi.org/10.1037/ser0000130

    Article  Google Scholar 

  85. Zauszniewski, J.A.: Intervention development: assessing critical parameters from the intervention recipient’s perspective. Appl. Nurs. Res. 25(1), 31–39 (2012). https://doi.org/10.1016/j.apnr.2010.06.002

    Article  Google Scholar 

  86. Lattie, E.G., Lipson, S.K., Eisenberg, D.: Technology and college student mental health: challenges and opportunities. Front. Psych. 10, 246 (2019). https://doi.org/10.3389/fpsyt.2019.00246

    Article  Google Scholar 

  87. Thielking, M.: A dangerous wait: colleges can’t meet soaring student needs for mental health care STAT (2017). https://www.statnews.com/2017/02/06/mental-health-collegestudents

  88. Secretary, HHS Office of the, and Office for Civil Rights (OCR). Summary of the HIPAA Privacy Rule. Retrieved from HHS.gov: www.hhs.gov/hipaa/for-professionals/privacy/laws-regulations/index.html. (2013)

    Google Scholar 

  89. University of Washington. LiveWell Peer Health EDUCATORS: Husky Health & Well-being (2021). https://www.wellbeing.uw.edu/get-involved/peer-health-educators

  90. Free Care & Therapy. Retrieved from 7 cups: www.7cups.com. (2021)

    Google Scholar 

  91. Online Therapy. Talkspace: (2021). https://www.talkspace.com

  92. US Department of Education. Family Educational Rights and Privacy Act (Ferpa) (2021). https://www2.ed.gov/policy/gen/guid/fpco/ferpa/index.html

  93. Tufts Technology Services. Guide to Massachusetts Data Privacy Laws. https://it.tufts.edu/about/policies-and-guidelines/guide-massachusetts-data-privacy-laws

  94. State of California Department of Justice - Office of the Attorney General. Privacy Laws (2018). https://oag.ca.gov/privacy/privacy-laws

  95. European Union. General Data Protection Regulation (2018). https://gdpr.eu/tag/gdpr/

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Acknowledgments

This research was supported by the National Institute of Health under the Small Business and Innovation Research program grant 1R44MH121219-01. We thank Benten Technologies for their support and assistance throughout this research.

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Authors and Affiliations

  1. University of California Irvine, Irvine, CA, USA

    Lucretia Williams, Melissa Pinto, Heather Abrahim, Candace Burton, Jonathan McIntyre & Gillian Hayes

  2. Emory University, Atlanta, GA, USA

    Timothy Harrison & Lobsang Tenzin Negi

  3. University of Washington, Seattle, WA, USA

    Arpita Bhattacharya

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Correspondence to Lucretia Williams .

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  1. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

  2. Hosei University, Tokyo, Japan

    Ayako Hashizume

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Williams, L. et al. (2023). Designing an Evidence-based Mental Health Intervention Alongside University Students. In: Kurosu, M., Hashizume, A. (eds) Human-Computer Interaction. HCII 2023. Lecture Notes in Computer Science, vol 14014. Springer, Cham. https://doi.org/10.1007/978-3-031-35572-1_13

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  • DOI: https://doi.org/10.1007/978-3-031-35572-1_13

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  • Online ISBN: 978-3-031-35572-1

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