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Integrating Mobile Technologies into Mental Health Treatment. Frederick Muench , Ph.D. fm2418@columbia.edu fred@healthtxts.com. Disclosures. Owner: Mobile Health Interventions: Text messaging company for health services and research. In the process of “selling” company.
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Integrating Mobile TechnologiesintoMental Health Treatment Frederick Muench, Ph.D. fm2418@columbia.edu fred@healthtxts.com
Disclosures • Owner: Mobile Health Interventions: Text messaging company for health services and research. In the process of “selling” company. • Consultant: Several mobile health companies, none of which are mentioned in this presentation.
Mobile Adoption • 83-95% mobile phone use, including low income & disenfranchised groups • 98% are SMS ready • 50% smart phone adoption based on SES, expected to skyrocket • Mobile internet users will reach 113.9 million in 2012, up 17.1% from 97.3 million in 2011 • By 2014, mobile will become the most common way of accessing the Internet • Use driven by age – not SES • No Digital Divide • 90% of individuals in intensive government subsidized outpatient substance abuse care had an active mobile phone • *19-26% of mobile users use their phone for health (mostly fitness). *MR 2012, Pew, 2012
Why Mobile? • What, Why, How, When & Where 24/7 access to increase salience of change goals in-vivo: • Assess & monitor using multiple mediums (active & passive) • Tailor & intervene/adapt care (just-in-time) • Triage & crisis intervention • Network with supports • An extension IBIs • Data Download • Improve data quality, display and monitoring, EMR integration, dashboards, research, etc. • High level of client acceptability in mobile - clients want to stay connected • Mobile combines “safe distance,” but continued monitoring
Top 10 Health Searches: 2011 Web Searches: Cancer Diabetes Symptom Pain Weight Infection Virus Diet Thyroid Sleep Mobile Searches: Chlamydia Bipolar disorder Depression Smoking/quit smoking Herpes Gout Scabies Multiple Sclerosis Pregnancy Vitamin A
Empirical Data It’s coming….. I promise Very little on mobile applications: • Pilot studies on development with small N’s By far, the most on text-messaging: • High acceptability, appointment adherence • HIV medication adherence • Depression • Smoking & Alcohol Use • Weight loss • Diabetes & Asthma monitoring Mobile assessment – the one place we are ahead of the game!
“Agile” Research Designs (Hekler, 2012)
Stand Alone Apps • There are also numerous applications that attempt to provide overlapping services as therapists and specifically highlight CBT theory such as iCBT, ICouchCBT, eCBT, CBT Referee, eCBTMood, CBT Clam, iCounselor • Other apps including things like PTSD Coach with four modules focused on 1) education, 2) self-assessment, 3) symptom management, and 4) social support. • Stand-alone apps work well with consumers who are highly motivated but cannot afford treatment. • Dr. Boudreau will perform a full review next
Self Tracking/Goal Setting General Apps Behavior Tracker Pro DatahabitDaytumTallyZoo “Mood-Tracking” Apps Mood ScopeT2 Mood TrackerMood PandaMoody MeMood Swing Goal-Setting Apps Use similar techniques, but focus on goal-directed behaviors Habit FactorLivifi
Self-Monitoring isEssential for Change 2.04 Bases for Scientific and Professional Judgments: • Psychologists' work is based upon established scientific and professional knowledge of the discipline (See also Standards, 2.01e, Boundaries of Competence, and 10.01b, Informed Consent to Therapy) Self-monitoring is one of the most highly effective behavior change techniques across behavior change domains (Michie et al. 2009; 2012; Webb et al. 2011).
Therapists Matter Homework and self monitoring are enhanced when there is accountability. Mohr, D. C., Cuijpers, P., & Lehman, K. (2011)
Passive Sensing • Activity Monitoring • Fitbit, Nike Plus, Body Media, etc. • Sleep • Zeo Personal Sleep Coach, Sleep Stream 2 Smart Alarm Clock, Sleep Cycle • GPS, Geolocation (Behavioral Activation) • MapMyTracks.com, endomondo, InstaMapper, CHESS • Passive sensing – using features embedded in the phone • BeWell
Client Centered Accelerometer Temperature sensor Galvanic skin response sensor Heat flux sensor
Obstacles • Cost • Limited empirical data • Confidentiality & Privacy • Scope of Practice • Reimbursement • Consent • Real-Time Emergencies • Hardware limitations/malfunctions • Lost phones/devices • multiple numbers in short-periods of time • Limited proactive use by individual • Individual privacy concerns • HIPAA • FDA
Thank You Questions fm2148@columbia.edu