Depression and anxiety are among the leading causes of disability and mortality in the US. Although effective treatments exist, response to specific treatments varies widely among individuals. More accurate matching of individuals with treatments could significantly increase overall success rates. Matching or personalization could be accomplished either by pre-treatment prediction of response or by earlier detection of treatment failure (shorting the cycle time of trial-and-errbr). Recent evidence suggests that measures of neuropsychological performance (such as the NIMH RDoC constructs) or directly observed behaviors could predict or detect response to treatment more accurately than traditional symptom measures. Increasing use of mobile electronic devices will make it possible to widely and rapidly disseminate tools for these next-generation assessments. The purpose of this pilot project is to assess consumer engagement, predictive utility, and clinical applicability of mobile, IT-enabled assessment of cognitive, physical and social activity in patients seeking treatment for depression and anxiety.
The first aim will be to determine whether members of three health systems initiating treatment for depression and/or anxiety will complete cognitive assessment via internet and mobile devices, and whether members would be willing to collect and share physical and social activity data through mobile sensing devices or behavioral analytic apps installed on their smart phones.
The second aim will be to explore the utility of the data collected prior to and during treatment in either prediction of treatment outcomes or early detection of treatment failure.
The final aim will be to determine provider interest in and experience with accessing this information for treatment planning purposes.

Public Health Relevance

Over the next decade, the classification and assessment of mental health conditions will be transformed by behavioral neuroscience. Next-generation assessments (including direct measures of behavior and neuropsychological performance) will supplant current symptom-based measures. This pilot study will prepare for that transformation by evaluating the feasibility, acceptability, and potential utility of nextgeneration assessments using mobile devides.

National Institute of Health (NIH)
Research Program--Cooperative Agreements (U19)
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Special Emphasis Panel (ZMH1)
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Group Health Cooperative
United States
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Ahmedani, Brian K; Vannoy, Steven (2014) National pathways for suicide prevention and health services research. Am J Prev Med 47:S222-8
Ahmedani, Brian K; Simon, Gregory E; Stewart, Christine et al. (2014) Health care contacts in the year before suicide death. J Gen Intern Med 29:870-7
Lu, Christine Y; Zhang, Fang; Lakoma, Matthew D et al. (2014) Changes in antidepressant use by young people and suicidal behavior after FDA warnings and media coverage: quasi-experimental study. BMJ 348:g3596
Lu, Christine Y; Stewart, Christine; Ahmed, Ameena T et al. (2014) How complete are E-codes in commercial plan claims databases? Pharmacoepidemiol Drug Saf 23:218-20
Simon, Gregory E; Stewart, Christine; Beck, Arne et al. (2014) National prevalence of receipt of antidepressant prescriptions by persons without a psychiatric diagnosis. Psychiatr Serv 65:944-6
Penfold, Robert B; Stewart, Christine; Hunkeler, Enid M et al. (2013) Use of antipsychotic medications in pediatric populations: what do the data say? Curr Psychiatry Rep 15:426
Simon, Gregory E; Peterson, Do; Hubbard, Rebecca (2013) Is treatment adherence consistent across time, across different treatments and across diagnoses? Gen Hosp Psychiatry 35:195-201
Hacker, Karen; Penfold, Robert; Zhang, Fang et al. (2012) Impact of electronic health record transition on behavioral health screening in a large pediatric practice. Psychiatr Serv 63:256-61
Ahmed, Ameena T; Blair, Thomas R W; McIntyre, Roger S (2011) Surgical treatment of morbid obesity among patients with bipolar disorder: a research agenda. Adv Ther 28:389-400