Development of Mind Muncher

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Health background	Mental illness is hard to treat Serious mental illnesses cost $30 billion dollars per year Current treatment of mental illness requires lifelong self-tracking, management, and clinical care However, motivation is difficult to maintain Behavior is indicative of underlying causes. For example, a depressed person depression may stay inside his house all day
Health background	Smartphones can help because they can effortlessly monitor multiple aspects of their health Built-in sensors: Global Positioning System (GPS), accelerometer Manual user input: mental and social dimensions Generic phone activity: number of times phone is unlocked
Other apps	Other apps include Ubifit: automatic recording of walking, running, cycling, and allows user to self-monitor their exercise routines MoodRhythm: allows bipolar disorder patients to self-track their physical activity, sleep, and find out how changes in their routines affect how they feel Optimism App: monitors depression, and lets bipolar patients log self-reported mood, activities including exercises and quality of sleep, and other depression symptoms
Theoretical background	In counselling sessions, therapists often ask patients ask patients to recall events, and then help those patients understand the connections between the events in their daily routine and their health with patient handbooks and other education materials 2010_Prociow This status quo treatment can be improved by continuous and unobtrusive lifelong health monitoring
Theoretical background	Dynamic, just-in-time treatments: Persuasive technology:
Features	Built-in sensors will include Accelerometer: detects up from down, infer speed of movement GPS (Global Positioning System): location, infer changes in geographic range Accelerometer and GPS together: infer type of transportation, such as walking, running, or riding in a car Screen unlocking events: infer sleep interruptions, stress
Features	2
Limitations	There are several limiations to a mental health app: Significant attrition when using new apps Stigma from using an app for helping with mental problems Privacy isses from continuous collection of data Accuracy and consistency of GPS location data Effort to create medically accuracte customized, therapeutic messages Accuracy of the behavioral tracking algorithm may be inaccurate
Evaluation	3 things to evaluate: Usability and patient acceptance of the app Test the accuracy and ability of app to continuously track changes in behavior Analyze behavioral patterns and show to patients in a meaningful way

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	"CBT for depression: a pilot RCT comparing mobile phone vs. computer"

Health background	Depression can be treated with cognitive behavior therapy (CBT). CBT via the internet (iCBT) can be as effective as face to face treatment. But some people do not like desktop computers -- would they prefer a mobile app? Here, they evaluted The Sadness Program. The desktop version kept the original name, but understandably, they changed the name to The Get Happy Program for the mobile app.
Screnshots	After each lesson, participants were assigned relevant homework activities. The user follows a comic book character named Jess and how she manages depression.
Results	The outcome measure used to measure depression was the Patient Health Questionnaire-9 (PHQ-9). reductions in PHQ-9 were significant, regardless of the format of delivery (desktop v. mobile)

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	"Title"

Health background	Mental illness is hard to treat
Limitations	There are several limiations to a mental health app:
Limitations	3 things to evaluate:

James Spader likes header!

	"Title"

Health background	Mental illness is hard to treat
Limitations	There are several limiations to a mental health app:
Limitations	3 things to evaluate: