Acceptability of a Mobile Sensing Platform for Collecting and Sharing Behavioral Biomarkers

Transcription

1 Acceptability of a Mobile Sensing Platform for Collecting and Sharing Behavioral Biomarkers

2 Cogito ADVANCED RESEARCH AND DEVELOPMENT Cogito s Advanced Product Development Team partners with academic institutions, government agencies, and commercial organizations to discover new ways to improve how people work and live through behavioral analytics. 2

3 DARPA Project Detection and Computational Analysis of Psychological Signals (DCAPS): Analyze patterns in everyday behaviors Focus on PTSD, depression, suicidal ideation Create a general metric of psychological health High risk, high reward 3

4 The Problem Clinicians and behavioral health providers need a reliable mechanism to understand how patients are doing in order to: Recognize mental health problems Develop tailored intervention strategies Deliver effective treatment 4

5 Current Solution to Problem Self-Report Questionnaires RETEROSPECTIVE Patients are asked to recall symptomology over a month, year, or more. SUBJECTIVE, BIASED Reporting is unreliable as it is subject to recall-bias, favorability-bias, mood dependent memory, and more. EPISODIC Patients fill out questionnaires infrequently, and often irregularly. TIME-CONSUMING Questionnaires are lengthy, tedious and repetitive. DISORDER-SPECIFIC Most questionnaires are disease-specific, making them only applicable to individuals with particular symptomology and therefore difficult to compare across patients. 5

6 DARPA DCAPS Project Goals We hypothesized that accurate models of behavioral indicators of PTSD and depression symptoms in both veteran and nonveteran populations could be derived from mobile-based digital trace data and auditory signals. 6

7 Mobile Sensing Platform 7

8 Study Design In-Person Clinical Assessment 12 Weeks of Mobile Phone Data Collection In-Person Clinical Assessment 8

9 Participants Participants Participants Participants 70 Participation by Gender 70 Participation by Age 70 Participation by Veteran Status Male Female Non Veteran Veteran Gender Age Veteran Status 9

10 Evaluation of Mobile Data Behavioral Biomarkers on a Mobile Sensing Platform Predict Clinically Validated Symptoms of Mental Health Disorders Poster Number: C072 Date: Friday, April 1st Presentation Time: 6:00PM - 7:00PM Location: Exhibit Hall 10

11 Evaluation of Feasibility and Acceptability PARTICIPANT PERCEPTION OF PRIVACY CONCERN A privacy metric was created by averaging responses to the following questions: Q: Do you feel that the application on the phone would infringe on a user s personal privacy? Answers were 1-5 Likert ratings, with 5 being most comfortable. 11

12 Privacy Results Privacy Rating by Veteran Status Privacy Rating by Age Non Veteran Veteran < Veteran Status Age 12

13 Participant Interest in Sharing INDIVIDUAL ANONYMOUS Q: If you were using this app, how interested would you be in sharing your individualized personal health status. Q: If you were using this app, how interested would you be in sharing your anonymous health status (cannot be traced backed to you). Results from questions regarding 8 types of sharing parties were combined to create an individual sharing metric. Results from questions regarding 5 types of sharing parties were combined to create an anonymous sharing metric. 13

14 Anonymous Sharing Results 5 Extremely Comfortabl e Comfort with Anonymous Sharing 4 Possible Groups 3 Moderately Comfortabl e Other people like you Support groups Medical Researchers Gov't Health Organization 2 1 Not at all comfortabl e Non Veteran Veteran 14

15 Individualized Sharing Results 5 Extremely Comfortabl e Comfort with Individualized Sharing 4 3 Moderately Comfortabl e 2 Possible Groups PCP Mental Health Specialist Immediate family Friends Other people like you Medical researchers Gov't health organization 1 Not at all comfortabl e Non Veteran Veteran 15

16 Usability PARTICIPANT WERE ASKED Q: If, in the future a mobile application, like Cogito VetGuard, might be able to provide you with information about your mental heath, would you be interested in using such an app? Answers were 1-5 likert scale, with 5 being most interested. 16

17 Usability Results Extremely Interest in Using App Extremely Interest in Using App by Veteran Status Moderately Moderately Not at all Participants Not at all Non Veteran Veteran 17

18 Life Improvement PARTICIPANT WERE ASKED Participants were asked about how participation in the study impacted their lives. Again, participation included data gathering and no feedback on the data gathered. Q: To what degree do you feel participation in our study helped you? Answers were 1-5 likert scale, with 5 being most helpful. 18

19 Life Improvement Improvement Improvement by Veteran Status Extremely Extremely Moderately Moderately Not at all Participants Not at all Non Veteran Veteran 19

20 Next Steps? Current Research Studies with VA 20