Pilot feasibility of an mHealth system for conducting ecological momentary assessment of mood-related symptoms following traumatic brain injury

Abstract Objective: This study assessed pilot feasibility and validity of a mobile health (mHealth) system for tracking mood-related symptoms after traumatic brain injury (TBI). Design: A prospective, repeated measures design was used to assess compliance with daily ecological momentary assessments (EMA) conducted via a smartphone application over an 8-week period. Methods: An mHealth system was developed specifically for individuals with TBI and utilized previously validated tools for depressive and anxiety symptoms (Patient Health Questionnaire-9, Generalized Anxiety Disorder-7). Feasibility was assessed in 20 community-dwelling adults with TBI via an assessment of compliance, satisfaction and usability of the smartphone applications. The authors also developed and implemented a clinical patient safety management mechanism for those endorsing suicidality. Results: Participants correctly completed 73.4% of all scheduled assessments, demonstrating good compliance. Daily assessments took <2 minutes to complete. Participants reported high satisfaction with smartphone applications (6.3 of 7) and found them easy to use (6.2 of 7). Comparison of assessments obtained via telephone-based interview and EMA demonstrated high correlations (r = 0.81–0.97), supporting the validity of conducting these assessments via smartphone application in this population. Conclusions: EMA conducted via smartphone demonstrates initial feasibility among adults with TBI and presents numerous opportunities for long-term monitoring of mood-related symptoms in real-world settings.

[1]  B. Jennett,et al.  Assessment of coma and impaired consciousness. A practical scale. , 1974, Lancet.

[2]  H. Christensen,et al.  Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review , 2013, Journal of medical Internet research.

[3]  S. Arndt,et al.  Depression following traumatic brain injury: a 1 year longitudinal study. , 1993, Journal of affective disorders.

[4]  James R. Lewis,et al.  IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use , 1995, Int. J. Hum. Comput. Interact..

[5]  R. Reitan The relation of the trail making test to organic brain damage. , 1955, Journal of consulting psychology.

[6]  Toru Nakamura,et al.  Co-Variation of Depressive Mood and Locomotor Dynamics Evaluated by Ecological Momentary Assessment in Healthy Humans , 2013, PloS one.

[7]  S. Arndt,et al.  Comparison between acute- and delayed-onset depression following traumatic brain injury. , 1994, The Journal of neuropsychiatry and clinical neurosciences.

[8]  R. Ferrell,et al.  Variants of SLC6A4 in depression risk following severe TBI , 2013, Brain injury.

[9]  A. Peitzman,et al.  Variation in the BDNF Gene Interacts With Age to Predict Mortality in a Prospective, Longitudinal Cohort with Severe TBI , 2015, Neurorehabilitation and neural repair.

[10]  P. Harris,et al.  Research electronic data capture (REDCap) - A metadata-driven methodology and workflow process for providing translational research informatics support , 2009, J. Biomed. Informatics.

[11]  Raj G. Kumar,et al.  Acute Inflammatory Biomarker Profiles Predict Depression Risk Following Moderate to Severe Traumatic Brain Injury , 2015, The Journal of head trauma rehabilitation.

[12]  J. Henry,et al.  The positive and negative affect schedule (PANAS): construct validity, measurement properties and normative data in a large non-clinical sample. , 2004, The British journal of clinical psychology.

[13]  P. Arenth,et al.  Exploratory associations with Tumor Necrosis Factor-α, disinhibition and suicidal endorsement after traumatic brain injury , 2014, Brain, Behavior, and Immunity.

[14]  H. Eisenberg,et al.  Predictors of outcome following severe head trauma: follow-up data from the Traumatic Coma Data Bank. , 1993, Brain injury.

[15]  A Bartfai,et al.  Using electronic aids to daily living after acquired brain injury: A study of the learning process and the usability , 2007, Disability and rehabilitation. Assistive technology.

[16]  S. Dikmen,et al.  Validity of the Patient Health Questionnaire‐9 in Assessing Depression Following Traumatic Brain Injury , 2005, The Journal of head trauma rehabilitation.

[17]  Jonathan J. Evans,et al.  SMS text messaging as a means of increasing recall of therapy goals in brain injury rehabilitation: A single-blind within-subjects trial , 2010, Neuropsychological rehabilitation.

[18]  J. Donders,et al.  Performance on the California Verbal Learning Test after traumatic brain injury. , 1999, Journal of clinical and experimental neuropsychology.

[19]  R. Spitzer,et al.  The PHQ-9: validity of a brief depression severity measure. , 2001, Journal of general internal medicine.

[20]  R A McCormick,et al.  Testing a tripartite model: II. Exploring the symptom structure of anxiety and depression in student, adult, and patient samples. , 1995, Journal of abnormal psychology.

[21]  Fred D. Davis User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts , 1993, Int. J. Man Mach. Stud..

[22]  C. Botella,et al.  Ecological momentary assessment for chronic pain in fibromyalgia using a smartphone: A randomized crossover study , 2014, European journal of pain.

[23]  J. D. Runyan,et al.  A Smartphone Ecological Momentary Assessment/Intervention “App” for Collecting Real-Time Data and Promoting Self-Awareness , 2013, PloS one.

[24]  D. Watson,et al.  Development and validation of brief measures of positive and negative affect: the PANAS scales. , 1988, Journal of personality and social psychology.

[25]  Susan M. Kaiser,et al.  Development and usability testing of FOCUS: a smartphone system for self-management of schizophrenia. , 2013, Psychiatric rehabilitation journal.

[26]  M. Devivo,et al.  Mortality over four decades after traumatic brain injury rehabilitation: a retrospective cohort study. , 2009, Archives of physical medicine and rehabilitation.

[27]  D. Cella,et al.  Establishing a common metric for depressive symptoms: linking the BDI-II, CES-D, and PHQ-9 to PROMIS depression. , 2014, Psychological assessment.

[28]  P J Donovick,et al.  Traumatic brain injury (TBI) 10-20 years later: a comprehensive outcome study of psychiatric symptomatology, cognitive abilities and psychosocial functioning. , 2001, Brain injury.

[29]  R. Spitzer,et al.  The Patient Health Questionnaire-2: Validity of a Two-Item Depression Screener , 2003, Medical care.

[30]  J. Smyth,et al.  Ecological Momentary Assessment Research in Behavioral medicine , 2003 .

[31]  J. Fleming,et al.  Cluster Analysis of Self-Awareness Levels in Adults with Traumatic Brain Injury and Relationship to Outcome , 1998, The Journal of head trauma rehabilitation.

[32]  Lei Zhang,et al.  Teenagers and Texting: Use of a Youth Ecological Momentary Assessment System in Trajectory Health Research With Latina Adolescents , 2014, JMIR mHealth and uHealth.

[33]  M. aan het Rot,et al.  Experience sampling and ecological momentary assessment for studying the daily lives of patients with anxiety disorders: a systematic review. , 2014, Journal of anxiety disorders.

[34]  Philippe Courtet,et al.  Feasibility and validity of ecological momentary assessment in the investigation of suicide risk , 2014, Psychiatry Research.

[35]  Paul A. Harris,et al.  Procurement of shared data instruments for Research Electronic Data Capture (REDCap) , 2013, J. Biomed. Informatics.

[36]  S. Dikmen,et al.  Rates of major depressive disorder and clinical outcomes following traumatic brain injury. , 2010, JAMA.

[37]  H. Levin,et al.  Cognitive Outcome Following Traumatic Brain Injury , 2009, The Journal of head trauma rehabilitation.

[38]  J. Fleming,et al.  The Relative Importance of Metacognitive Skills, Emotional Status, and Executive Function in Psychosocial Adjustment Following Acquired Brain Injury , 2005, The Journal of head trauma rehabilitation.

[39]  J. Donders,et al.  Criterion Validity of the Delis-Kaplan Executive Function System (D-KEFS) Fluency Subtests After Traumatic Brain Injury , 2010, Journal of the International Neuropsychological Society.

[40]  R. Tate,et al.  Suicidality after traumatic brain injury: demographic, injury and clinical correlates , 2002, Psychological Medicine.

[41]  I. Baguley,et al.  A comparison of acute and postdischarge predictors of employment 2 years after traumatic brain injury. , 2001, Archives of physical medicine and rehabilitation.

[42]  C. V. van Heugten,et al.  Effectiveness of an electronic cognitive aid in patients with acquired brain injury: A multicentre randomised parallel-group study , 2013, Neuropsychological rehabilitation.

[43]  Psychosocial and emotional sequelae of individuals with traumatic brain injury: a literature review and recommendations. , 1995 .

[44]  J. Ponsford,et al.  The Temporal Relationship Between Depression, Anxiety, and Functional Status after Traumatic Brain Injury: A Cross-lagged Analysis , 2011, Journal of the International Neuropsychological Society.

[45]  R. Bollinger,et al.  The Exposure Assessment in Current Time Study: Implementation, Feasibility, and Acceptability of Real-Time Data Collection in a Community Cohort of Illicit Drug Users , 2013, AIDS research and treatment.

[46]  S. Shiffman,et al.  Ecological momentary assessment. , 2008, Annual review of clinical psychology.

[47]  P. Wehman,et al.  Psychosocial and emotional sequelae of individuals with traumatic brain injury: a literature review and recommendations. , 1996, Brain injury.

[48]  W. Gordon,et al.  Suicidal Ideation Following Traumatic Brain Injury: Prevalence Rates and Correlates in Adults Living in the Community , 2011, The Journal of head trauma rehabilitation.

[49]  Thomas R. Kirchner,et al.  Do smokers crave cigarettes in some smoking situations more than others? Situational correlates of craving when smoking. , 2010, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[50]  B. Löwe,et al.  A brief measure for assessing generalized anxiety disorder: the GAD-7. , 2006, Archives of internal medicine.

[51]  J. Ponsford,et al.  Coping and Emotional Adjustment Following Traumatic Brain Injury , 2006, The Journal of head trauma rehabilitation.

[52]  S. Arndt,et al.  Depression and anxiety following traumatic brain injury. , 1993, The Journal of neuropsychiatry and clinical neurosciences.