Psychology and Cognitive Sciences · Vol. 4, No. 2 · 2018 · pp. 36–47 · e-ISSN 2380-727X

Human Behavior with Mobile Health: Smartphone/ Devices, Apps and Cognition

Donald M. Hilty, Steven Chan

Associate Chief of Staff, Mental Health, N. Cal. VA Health Care System, CA 95655, USAUnited States
Clinical Informatics Fellow, UC San Francisco, Division of Hospital Medicine, CA 94117, USAUnited States

DOI: https://doi.org/10.17140/pcsoj-4-141 · Published 2018-10-22 · Licence: https://creativecommons.org/licenses/by/4.0 · © 2018 The Author(s)

Abstract

Mobile health, telemedicine and other services are considered part of a telehealth or e- health spectrum of care. Mobile health mental health options (i.e., smartphones/devices and apps) are part of a broader framework of e-mental health options. Technology usually offers portability for access anytime/anywhere, are relatively inexpensive and have additional features (e.g., context- aware interventions and sensors with real-time feedback). The evidence-based literature shows that many people have an openness to technology as a way to engage others, change behaviors and obtain clinical services. Skills/competencies for mobile health, smartphone/device and app have similarities and differences from in-person and telepsychiatric care. It is suggested that evidence-based apps be used with an evidence-based approach. Relatively few treatment studies evaluate outcomes for mobile health, directly compare it to in-person and e-behavioral healthcare or compare new technology-based care options to one another. Few studies have assessed the cognitive function related to smartphone/device and app use. At least three facets of cognition that are affected by these technologies: attention, memory and delay of gratification (reward processing). More research is needed with respect tohealth services delivery models, effectiveness, competency outcomes and how a paradigm shift like mobile health re-contextualizes digital healthcare.

Keywords: Apps; Behavior; Cognition; Devices; Mobile; Smartphones; Technology

Introduction

M obile health (mH) communications smartphones and other devices (SP/D) used for data transport, computing and integration are a force in business, entertainment and health communities. mH and social media are growing exponentially via the X, Millennial/Y and Z generations.1 They are delivering healthcare anytime/anywhere and surpassing geographical, cost, temporal and organizational barriers.2 This movement is consistent with not only patient-centered care, but participatory medicine, in which patients are responsible drivers of their health with physicians3 according to the Institute of Medicine.4-5 mH, telemedicine and other services are considered part of a telehealth or e-health (eH) spectrum of care, including e-be havioral health (eBH). 6-7 Traditional telehealthcare services have been provided synchronously by video conferencing 7 or asynchronously.8 mH and its corresponding mobility components are central to healthcare monitoring and alerting systems, clinical and administrative data collection, record maintenance, delivery pro grams, medical information awareness, detection and prevention systems, drug-counterfeiting and theft. 9 mH hasbeendefined as “unwired e-med ”, mobile communication and network technolo gies and now mobile or wireless communication technologies for health and healthcare.10-12 A worldwide review of the literature on eH through 2010 found four primary areas of service delivery: T able 1. The E-BH Spectrum of Technology Use in Healthcare for Patients and Clinicians Level Source/ Entry Initiator Goals/Aims Questions And Perspectives Liabilities Suggestions For Programs 1 Website information Health information: gain perspective, obtain standard and updated info Do I need more information? How should I approach the problem? What is out there?

Better if referred by clinician who has checked it out Quality of information and lack of regulation Provide training on how to evaluate sites and to identify good ones; how to screen for patients’ use On-line formal educational materials Person/patient: education Caregiver: education, supports, and advice Clinician: continuing medical education (CME) I learn easier this way?

I need “sound” info to make decisions for loved ones CME implies good quality; peers’ opinion helpful Some prefer in-person interaction (e.g., Q&A) May not fit learning style Provide advice on good options, how to evaluate the materials and help patients do likewise.

Support/chat groups or “communities Spontaneous, anonymity, gain answers/tips and greater perspective Socialization and networking What should/can I do?

What are others doing locally, regionally or globally?

Can I connect easier with others?

Peer compatibility?

Information quality?

Who is talking on the other end?

Provide curricula in general and how to use at specific clinical sites (e.g., inpatient unit, outpatient care) Self-directed assessment and decision-making options Person/patient: tips to reflect, make changes and get help Caregiver: tips to reflect, tools to assess loved ones, and next steps Clinician: give patients assignments/resources; obtain tips on clinical care What are my needs and resources? What is my next step in seeking help?

Can my love ones/patients get help/support outside the office with help (i.e., with a nurse, mid-level or care coordinator)?

Not all problems can be self-assessed Some illnesses affect insight and reflection Quality is an issue; get a

References

  1. HiltyDMChanSHwangT. Advances in mobile mental health: Opportunities and implications for spectrum of e-men tal health services. MHealth. 2017; 21(3): 34. doi: 10.21037/ mhealth.2017.06.02
  2. TachakraSWangXHIstepanianRS. Mobile e-health: The unwired evolution of telemedicine. Telemed J E Health. 2003; 9(3): 247-257. doi: 10.1089/15305620332250263210.1089/153056203322502632 https://doi.org/10.1089/153056203322502632
  3. FrydmanGJ. Patient-driven research: Rich opportunities and real risks. J Participat Med. 2009
  4. Institute of Medicine. The Core Competencies Needed for Health Care Professionals. Health Professions Education: A Bridge to Quality. Washington, DC, USA: The National Academies Press, 2003
  5. Institute of Medicine. Health Professions Education Summit. Health Professions Education: A Bridge to Quality. Washington, DC, USA: The National Academies Press, 2003
  6. HiltyDMChanSTorousJ. New frontiers in healthcare and technology: Internet- and web-based mental options emerge to complement in-person and telepsychiatric care options. J Health Med Informat. 2015; 6: 1-14. doi: 10.4172/2157-7420.100020010.4172/2157-7420.1000200 https://doi.org/10.4172/2157-7420.1000200
  7. HiltyDMFerrerDCallahanEJ. The effectiveness of telemental health: A 2013 review. Telemed J E Health. 2013; 19(6): 444-454. doi: 10.1089/tmj.2013.007510.1089/tmj.2013.0075 https://doi.org/10.1089/tmj.2013.0075
  8. YellowleesPMOdorAIosifAM. Transcultural psychiatry made simple: Asynchronous telepsychiatry as an approach to providing culturally relevant care. Telemed J E Health. 2013; 19: 1-6. doi: 10.1089/tmj.2012.007710.1089/tmj.2012.0077 https://doi.org/10.1089/tmj.2012.0077
  9. Silva BMC, Rodrigues JPC, de la Torre I, et al. Mobile-health: A review of current state in 2015. J Biomed Inform. 2015; 56: 265-272. doi: 10.1016/j.jbi.2015.06.003 https://doi.org/10.1016/j.jbi.2015.06.003
  10. LaxminarayanSIstepanianRS. UNWIRED E-MED: The next generation of wireless and internet telemedicine systems. IEEE Trans Inf Technol Biomed. 2000; 4: 189-193
  11. IstepanianRSHLacalJ. Emerging mobile communication technologies for health: some imperative notes on m-health. In: Proceedings of the 25 th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1414-1416, 2003; IEEE, USA
  12. SteinhublSRMuseEDTopolEJ. Can mobile health technologies transform health care? JAMA. 2013; 310: 2395-2396. doi: 10.1001/jama.2013.28107810.1001/jama.2013.281078 https://doi.org/10.1001/jama.2013.281078
  13. LalSAdairCE. E-mental health: A rapid review of the literature. Psychiatr Serv. 2014; 65: 24-32. doi: 10.1176/appi.ps.20130000910.1176/appi.ps.201300009 https://doi.org/10.1176/appi.ps.201300009
  14. Bert F, Giacometti M, Gualano MR, Smartphones and health promotion: A review of the evidence. J Med Syst. 2014; 38(1): 9995. doi: 10.1007/s10916-013-9995-7 https://doi.org/10.1007/s10916-013-9995-7
  15. LaranjoLArguelANevesAL. The influence of social networking sites on health behavior change: A systematic review and meta-analysis. J Am Med Inform Assoc. 2015; 22: 243-256. doi: 10.1136/amiajnl-2014-00284110.1136/amiajnl-2014-002841 https://doi.org/10.1136/amiajnl-2014-002841
  16. Torous J, Chan RS, Yee-Marie Tan S, et al. Patient smartphone ownership and interest in mobile apps to monitor symptoms of mental health conditions: A survey in four geographically distinct psychiatric clinics. JMIR Ment Health. 2014; 1: e5. doi: 10.2196/ mental.4004
  17. LuxtonDHansenRNStanfillK. Mobile app self-care versus in-office care for stress reduction: a cost minimization analysis. J Telemed Telecare. 2014; 20: 431-435. doi: 10.1177/1357633X1455561610.1177/1357633x14555616 https://doi.org/10.1177/1357633x14555616
  18. ZhaoJFreemanBLiM. Can mobile phone apps influence people’s health behavior change? An evidence review. J Med Internet Res. 2016; 18(11): e287. doi: 10.2196/jmir.569210.2196/jmir.5692 https://doi.org/10.2196/jmir.5692
  19. WilmerHHShermanLECheinJM. Smartphones and cog nition: A review of research exploring the links between mobile technology habits and cognitive functioning. Front Psychol. 2017; 8: 605. doi: 10.3389/fpsyg.2017.0060510.3389/fpsyg.2017.00605 https://doi.org/10.3389/fpsyg.2017.00605
  20. EganT. The Eight-Second Attention Span. New York, NY: The New York Times, 2016
  21. NikkenPScholsM. How and why parents guide the media use of young children. J Child Fam Stud. 2015; 24(11): 3423-3435. doi: 10.1007/s10826-015-0144-410.1007/s10826-015-0144-4 https://doi.org/10.1007/s10826-015-0144-4
  22. BondaronekPAlkhaldiGSleeA. Quality of publicly available physical activity apps: Review and content analysis. JMIR Mhealth Uhealth. 2018; 6(3): e53. doi: 10.2196/mhealth.906910.2196/mhealth.9069 https://doi.org/10.2196/mhealth.9069
  23. AhmedIAhmadNSAliS. Medication adherence apps: Review and content analysis. JMIR Mhealth Uhealth. 2018; 6(3): e62. doi: 10.2196/mhealth.643210.2196/mhealth.6432 https://doi.org/10.2196/mhealth.6432
  24. BadawySMBarreraLSinnoMG. Text messaging and mobile phone apps as interventions to improve adherence in adolescents with chronic health conditions: A systematic review. JMIR Mhealth Uhealth. 2017; 5(5): e66. doi: 10.2196/mhealth.779810.2196/mhealth.7798 https://doi.org/10.2196/mhealth.7798
  25. FreeCPhillipsGFelixL. The effectiveness of m-health technologies for improving health and health services: A systematic review protocol. BMC Res Notes. 2010; 3: 250. doi: 10.1186/1756- 0500-3-25010.1186/1756-0500-3-250 https://doi.org/10.1186/1756-0500-3-250
  26. FoxSDugganM. Tracking for health. Pew Research Center. 2013
  27. BauerAMRueTKeppelGA. Use of mobilehealth (mHealth) tools by primary care patients in the WWAMI region practice and research network (WPRN). J Am Board Fam Med. 2014; 27: 780-8. doi: 10.3122/jabfm.2014.06.14010810.3122/jabfm.2014.06.140108 https://doi.org/10.3122/jabfm.2014.06.140108
  28. HallAKCole-LewisHBernhardtJM. Mobile text messaging for health: A systematic review of reviews. Annu Rev Public Health. 2015; 36: 393-415. doi: 10.1146/annurev-publhealth-031914-12285510.1146/annurev-publhealth-031914-122855 https://doi.org/10.1146/annurev-publhealth-031914-122855
  29. LimMSWrightCHellardME. The medium and the message: Fitting sound health promotion methodology into 160 characters. JMIR Mhealth Uhealth. 2014; 2: e40. doi: 10.2196/mhealth.388810.2196/mhealth.3888 https://doi.org/10.2196/mhealth.3888
  30. HoneymanEDingHVarnfieldM. Mobile health applications in cardiac care. Interv Cardiol. 2014; 6(2): 227-240
  31. OdenyTANewmanMBukusiEA. Developing content for a mHealth intervention to promote postpartum retention in prevention of mother-to-child HIV transmission programs and early infant diagnosis of HIV: A qualitative study. PLoS One. 2014; 9: e106383. doi: 10.1371/journal.pone.010638310.1371/journal.pone.0106383 https://doi.org/10.1371/journal.pone.0106383
  32. CarlsonEBFieldNPRuzekJI. Advantages and psychometric validation of proximal intensive assessments of patient-reported outcomes collected in daily life. Qual Life Res. 2016; 25: 507- 516. doi: 10.1007/s11136-015-1170-910.1007/s11136-015-1170-9 https://doi.org/10.1007/s11136-015-1170-9
  33. Van OsJDelespaulPBargeD. Testing an mHealth momentary assessment routine outcome monitoring application: A focus on restoration of daily life positive mood states. PLoS One. 2014; 9: e115254. doi: 10.1371/journal.pone.011525410.1371/journal.pone.0115254 https://doi.org/10.1371/journal.pone.0115254
  34. MoskowitzDSYoungSN. Ecological momentary assessment: what it is and why it is a method of the future in clinical psychopharmacology. J Psychiatry Neurosci. 2006; 31: 13-20
  35. TorousJStaplesPShanahanM. Utilizing a custom application on personal smartphones to assess PHQ-9 depressive symptoms in patients with major depressive disorder. JMIR Ment Health. 2015; 2(1): e8. doi: 10.2196/mental.388910.2196/mental.3889 https://doi.org/10.2196/mental.3889
  36. BerkmanETGiulianiNRPruittAK. Comparison of text messaging and paper-and-pencil for ecological momentary assess ment of food craving and intake. Appetite. 2014; 81: 131-137. doi: 10.1016/j.appet.2014.06.01010.1016/j.appet.2014.06.010 https://doi.org/10.1016/j.appet.2014.06.010
  37. ThompsonWKGershonAO’HaraR. The prediction of study emergent suicidal ideation in bipolar disorder: A pilot study using ecological momentary assessment data. Bipolar Disord. 2014; 16: 669-677. doi: 10.1111/bdi.1221810.1111/bdi.12218 https://doi.org/10.1111/bdi.12218
  38. Magallón-NeriEKirchner-NebotTForns-SantacanaM. Ecological momentary assessment with smartphones for measur ing mental health problems in adolescents. World J Psychiatry. 2016; 6(3): 303-310. doi: 10.5498/wjp.v6.i3.30310.5498/wjp.v6.i3.303 https://doi.org/10.5498/wjp.v6.i3.303
  39. SeligmanMEPTierneyJ. We aren’t Built to Live in the Moment. New York, NY: The New York Times, 2017
  40. HiltyDM. Technology and the brain: What can we learn from our life experience, patient care, social media and Internet use? Psychol Cogn Sci Open J. 2017; 3(3): 89-93. doi: 10.17140/PCSOJ-3-12810.17140/pcsoj-3-128 https://doi.org/10.17140/pcsoj-3-128
  41. KahnemanD. Thinking, Fast and Slow. New York, NY: Farrar, Straus and Giroux, 2012
  42. VälimäkiMAnttilaKAnttilaM. Web-based interventions supporting adolescents and young people with depressive symptoms: Systematic review and meta-analysis. JMIR Mhealth Uhealth. 2017; 5(12): e180. doi: 10.2196/mhealth.862410.2196/mhealth.8624 https://doi.org/10.2196/mhealth.8624
  43. KeatingSRMcCurryMK. Systematic review of text messag ing as an intervention for adolescent obesity. J Am Assoc Nurse Pract. 2015; doi: 10.1002/2327-6924.1226410.1002/2327-6924.12264 https://doi.org/10.1002/2327-6924.12264
  44. GristRPorterJStallardP. Mental healthmobile apps for preadolescents and adolescents: A systematic review. J Med Internet Res. 2017; 19(5): e176. doi: 10.2196/jmir.733210.2196/jmir.7332 https://doi.org/10.2196/jmir.7332
  45. CarsonNJGansnerMKhangJ. Assessment of digital media use in the adolescent psychiatric evaluation. Child Adolesc Psychiatr Clin N Am. 2018; 27: 133-143. doi: 10.1016/j.chc.2017.11.00310.1016/j.chc.2017.11.003 https://doi.org/10.1016/j.chc.2017.11.003
  46. MihajlovMVejmelkaL. Internet addiction: A review of the first twenty years. Psychiatr Danub. 2017; 29(3): 260-272. doi: 10.24869/psyd.2017.26010.24869/psyd.2017.260 https://doi.org/10.24869/psyd.2017.260
  47. PontesHM. Investigating the differential effects of social networking site addiction and internet gaming disorder on psychological health. J Behav Addict. 2017; 6(4): 601-610. doi: 10.1556/2006.6.2017.07510.1556/2006.6.2017.075 https://doi.org/10.1556/2006.6.2017.075
  48. Van GeelMVedderPTanilonJ. Relationship between peer victimization, cyberbullying, and suicide in children and adolescents: a meta-analysis. JAMA Pediatr. 2014; 168(5): 435-442. doi: 10.1001/jamapediatrics.2013.414310.1001/jamapediatrics.2013.4143 https://doi.org/10.1001/jamapediatrics.2013.4143
  49. EnglanderE. Risky business talking with your patients about cyberbullying and sexting. Child Adolesc Psychiatr Clin N Am. 2018; 27(2): 287-305. doi: 10.1016/j.chc.2017.11.01010.1016/j.chc.2017.11.010 https://doi.org/10.1016/j.chc.2017.11.010
  50. United States Stop Bullying. Website: https://www.stopbullying.gov/cyberbullying/establishing-rules/index.htmlhttps:// www.aap.org/en-us/advocacy-and-policy/aap-health-initiatives/ resilience/Pages/Bullying-and-Cyberbullying.aspx. Accessed June 1, 2018
  51. SaparovaD. Motivating, influencing, and persuading patients through personal health records: A scoping review. Perspect Health Inf Manag. 2012; 9: 1f
  52. CarliVHovenCWWassermanC. A newly identified group of adolescents at “invisible” risk for psychopathology and suicidal behavior: Findings from SEYLE study. World Psychiatry. 2014;13(1): 78-86. doi: 10.1002/wps.2008810.1002/wps.20088 https://doi.org/10.1002/wps.20088
  53. HiltyDMHwangTTurveyC. Staying abreast of information in the information age: Digital continuing education and levering technology to stay current for clinical psychiatric practice. Curr Psychiat Rep. 2018; 12; 20(3): 15. doi: 10.1007/s11920-018-0878-y10.1007/s11920-018-0878-y https://doi.org/10.1007/s11920-018-0878-y
  54. StothartCMitchumAYehnertC. The attentional cost of receiving a cell phone notification. J Exp Psychol Hum Percept Perform. 2015; 41(4): 893-897. doi: 10.1037/xhp000010010.1037/xhp0000100 https://doi.org/10.1037/xhp0000100
  55. ThorntonBFairesARobbinsM. The mere presence of a cell phone may be distracting: Implications for attention and task performance. Soc Psychol. 2014; 45: 479-488. doi: 10.1027/1864- 9335/a00021610.1027/1864-9335/a000216 https://doi.org/10.1027/1864-9335/a000216
  56. CairdJKJohnstonKAWillnessCR. A meta-analysis of the effects of texting on driving. Accid Anal Prev. 2014; 71: 311-318. doi: 10.1016/j.aap.2014.06.00510.1016/j.aap.2014.06.005 https://doi.org/10.1016/j.aap.2014.06.005
  57. LeeYKChangCTLinY. The dark side of smart phone usage: Psychological traits, compulsive behavior and technostress. Comput Hum Behav. 2014; 31: 373-383. doi: 10.1016/j. chb.2013.10.04710.1016/j.chb.2013.10.047 https://doi.org/10.1016/j.chb.2013.10.047
  58. CsikszentmihalyiMAbuhamdehS. Flow and the Foundations of Positive Psychology. Dordrecht, Netherlands: Springer. 2014
  59. OphirENassCWagnerAD. Cognitive control in media multitaskers. Proc Natl Acad Sci U S A. 2009; 106(37): 15583-15587. doi: 10.1073/pnas.090362010610.1073/pnas.0903620106 https://doi.org/10.1073/pnas.0903620106
  60. MonsellS. Task switching. Trends Cogn Sci. 2003; 7(3): 134-140
  61. Özkul D, Humphreys L. Record and remember: Memory and meaning-making practices through mobile media. Mob Med Commun. 2015; 3: 351-365. doi: 10.1177%2F2050157914565846
  62. BarrNPennycookGStolzJA. The brain in your pocket: Evidence that smartphones are used to supplant thinking. Comput Hum Behav. 2015; 48: 473-480. doi: 10.1016/j.chb.2015.02.02910.1016/j.chb.2015.02.029 https://doi.org/10.1016/j.chb.2015.02.029
  63. HenkelLA. Point-and-shoot memories: The influence of taking photos on memory for a museum tour. Psychol Sci. 2013; 25: 396- 402. doi: 10.1177%2F0956797613504438
  64. LenhartA. Teens, Social Media and Technology Overview 2015. Smartphones Facilitate Shifts in Communication Landscape for Teens. Washington DC, USA: Pew Research Center. 2015
  65. AlsopR. Instant Gratification & Its Dark Side. Website: http://www.bucknell.edu/communications/bucknell-magazine/ instant-gratification-and-its-dark-side.html. Accessed June 1, 2018
  66. KatzEBlumlerJGGurevitchM. Uses and gratifications research. Public Opin Q. 1973; 37: 509-523
  67. WangZTchernevJM. The “Myth” of media multitasking: Reciprocal dynamics of media multitasking, personal needs, and gratifications. J Commun. 2012; 62: 493-513. doi: 10.1111/j.1460- 2466.2012.01641.x10.1111/j.1460-2466.2012.01641.x https://doi.org/10.1111/j.1460-2466.2012.01641.x
  68. WernerNECadesDMBoehm-DavisDA. What makes us resilient to interruptions? Understanding the role of individual differences in resumption. Presented at: Proceed Human Factors Ergonomics Soc Ann Meeting. Thousand Oaks, CA, 296-300; 2011
  69. HiltyDMBelitskyRCohenMB. Impact of the information age residency training: The impact of the generation gap. Acad Psychiatry. 2015; 39(1): 104-107. doi: 10.1007/s40596-014-0196-610.1007/s40596-014-0196-6 https://doi.org/10.1007/s40596-014-0196-6
  70. ChanSRTorousJBHintonWL. Psychiatric apps: Patient self-assessment, communication, and potential treatment interventions. In: Mucic D, Hilty DM (eds). e-Mental Health. New York, NY: Springer Publishing, 2015; 217-229
  71. DonkerTPetrieKProudfootJ. Smartphones for smarter delivery of mental health programs: A systematic review. J Med Internet Res. 2013; 15(11): e247. doi: 10.2196/jmir.279110.2196/jmir.2791 https://doi.org/10.2196/jmir.2791
  72. BerrouiguetSBaca-GarcíaEBrandtS. 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; 18: e135. doi: 10.1371/journal.pone.016379610.1371/journal.pone.0163796 https://doi.org/10.1371/journal.pone.0163796
  73. Luxton DD, McCann RA, Bush NE, et al. mHealth for mental health: Integrating smartphone technology in behavioral healthcare. Prof Psychol Res Practice. 2011; 42: 505-512. doi: 10.1037/a0024485 https://doi.org/10.1037/a0024485
  74. HiltyDMYellowleesPMParishMB. Telepsychiatry: Effective, evidence-based and at a tipping point in healthcare de livery. Psychiatr Clin North Am. 2015; 38: 559-592. doi: 10.1016/j. psc.2015.05.00610.1016/j.psc.2015.05.006 https://doi.org/10.1016/j.psc.2015.05.006
  75. BushNESkoppNSmolenskiD. Behavioral screening measures delivered with a smartphone app: Psychometric proper ties and user preference. J Nerv Ment Dis. 2013; 201: 991-995. doi: 10.1097/NMD.000000000000003910.1097/nmd.0000000000000039 https://doi.org/10.1097/nmd.0000000000000039
  76. KauerSDManganCSanciL. Do online mental health services improve help-seeking for young people? A systematic review. J Med Internet Res. 2014; 16: e66. doi: 10.2196/jmir.310310.2196/jmir.3103 https://doi.org/10.2196/jmir.3103
  77. BergerMWagnerTHBakerLC. Internet use and stigma tized illness. Soc Sci Med. 2005; 61: 1821-1827. doi: 10.1016/j. socscimed.2005.03.02510.1016/j.socscimed.2005.03.025 https://doi.org/10.1016/j.socscimed.2005.03.025
  78. GriffithsKMCalearALBanfieldM. Systematic review on internet support groups (ISGs) and depression (1): Do ISGs reduce depressive symptoms? J Med Internet Res. 2009; 11: e40. doi: 10.2196/jmir.1270 Submit your article to this journal | https://openventio.org/submit-manuscript/10.2196/jmir.1270 https://doi.org/10.2196/jmir.1270
  79. AgyapongVIRogersCMachaleS. Factors predicting adherence with psychiatric follow-up appointments for patients assessed by the liaison psychiatric team in the emergency department. Int J Psychiatry Med. 2010; 40: 217-228. doi: 10.2190/PM.40.2.g10.2190/pm.40.2.g https://doi.org/10.2190/pm.40.2.g
  80. GonzalezJWilliamsJWNoëlPH. Adherence to mental health treatment in a primary care clinic. J Am Board Fam Pract. 2005; 18: 87-96
  81. SchrankBSibitzIUngerA. How use patients with schizophrenia the internet: Qualitative study. J Med Internet Res. 2010; 12: e70. doi: 10.2196/jmir.155010.2196/jmir.1550 https://doi.org/10.2196/jmir.1550
  82. KoivunenMVälimäkiMPitkänenA. A preliminary usability evaluation of Web-based portal application for patients with schizophrenia. J Psychiatr Ment Health Nurs. 2007; 14: 462-469. doi: 10.1111/j.1365-2850.2007.01111.x10.1111/j.1365-2850.2007.01111.x https://doi.org/10.1111/j.1365-2850.2007.01111.x
  83. DeppCAMooreRCPerivoliotisD. Technology to assess and support self-management in serious mental illness. Dialogues Clin Neurosci. 2016; 18: 171-183
  84. CainAEDeppCAJesteDV. Ecological momentary assess ment in aging research: A critical review. J Psychiatr Res. 2009; 43: 987-996. doi: 10.1016%2Fj.jpsychires.2009.01.014
  85. FrankJRMungrooRAhmadY. Toward a definition of competency-based educationin medicine: A systematic review of published definitions. Med Teach. 2010; 32(8): 631-637. doi: 10.3109/0142159X.2010.50089810.3109/0142159x.2010.500898 https://doi.org/10.3109/0142159x.2010.500898
  86. Accreditation Council on Graduate Medical Education. Common Program Requirements. Website: https://www.acgme. org/acgmeweb/Portals/0/PFAssets/ProgramRequirements/ CPRs2013.pdf. Accessed June 1, 2018
  87. Royal College of Physicians and Surgeons, CanMEDS Framework. Website: http://www.royalcollege.ca/portal/page/portal/ rc/canmeds/framework. Accessed June 1, 2018
  88. HiltyDMCrawfordATeshimaJ. A framework for telepsychiatric training and e-health: Competency-based education, evaluation and implications. Int Rev Psychiatry. 2015; 27: 569-592. doi: 10.3109/09540261.2015.109129210.3109/09540261.2015.1091292 https://doi.org/10.3109/09540261.2015.1091292
  89. HiltyDMMaheuMDrudeK. Telebehavioral health, telemental health, e-therapy and e-health competencies: The need for an interdisciplinary framework. J Tech Behav Sci. 2017. doi: 10.1007/ s41347-017-0036-0
  90. MaheuMDrudeKHertleinK. An interdisciplinary framework for telebehavioral health competencies. J Tech Behav Sci. 2018. doi: 10.1007/s41347-017-0038-y10.1007/s41347-017-0038-y https://doi.org/10.1007/s41347-017-0038-y
  91. HiltyDMZalpuriIStubbeD. Social media/networking as part of e-behavioral health and psychiatric education: Competencies, teaching methods,and implications. J Tech Behav Sci.2018. doi: 10.1007/s41347-018-0061-710.1007/s41347-018-0061-7 https://doi.org/10.1007/s41347-018-0061-7
  92. HiltyDMChanSTorousJ. A competency-based framework for psych/behavioral health apps for trainees, faculty, pro grams and health systems. Acad Psychiat. In Press
  93. CaponHHallWFryC. Realising the technological promise of smartphones in addiction research and treatment: An eth ical review. Int J Drug Policy. 2016; 36: 47-57. doi: 10.1016/j.drug po.2016.05.01310.1016/j.drug https://doi.org/10.1016/j.drug
  94. IstepanaianRSHZhangYT. Guest editorial introduction to the special section: 4G health–the long-term evolution of m-health. IEEE Trans Inf Technol Biomed. 2012; 16: 1-5. doi: 10.1109/ TITB.2012.2183269
  95. BahgaAMadisettiVK. A cloud-based approach for interoperable electronic health records (EHRs). IEEE J Biomed Health Inform. 2013; 17: 894-906. doi: 10.1109/JBHI.2013.225781810.1109/jbhi.2013.2257818 https://doi.org/10.1109/jbhi.2013.2257818
  96. PullierMRDavissS. A call for a digital health consortium. J Tech Behav Sci. 2017; 1: 16. doi: 10.1007/s41347-017-0011-910.1007/s41347-017-0011-9 https://doi.org/10.1007/s41347-017-0011-9