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

References

• CDC. TBI in the US Report - Traumatic Brain Injury - Injury Center. Atlanta, GA: CDC. 2010. Available online at: http://www.cdc.gov/traumaticbraininjury/tbi_ed.html, accessed 22 August 2014
   Google Scholar
• Bombardier CH, Fann JR, Temkin NR, Esselman PC, Barber J, Dikmen SS. Rates of major depressive disorder and clinical outcomes following traumatic brain injury. the Journal of the American Medical Association 2010;303:1938–1945
   PubMed Web of Science ®Google Scholar
• Jorge RE, Robinson RG, Starkstein SE, Arndt SV. Depression and anxiety following traumatic brain injury. The Journal of Neuropsychiatry and Clinical Neurosciences 1993;5:369–374
   PubMed Web of Science ®Google Scholar
• Schönberger M, Ponsford J, Gould KR, Johnston L. The temporal relationship between depression, anxiety, and functional status after traumatic brain injury: A cross-lagged analysis. Journal of the International Neuropsychological Society 2011;17:781–787
   PubMed Web of Science ®Google Scholar
• Ruff RM, Marshall LF, Crouch J, Klauber MR, Levin HS, Barth J, Kreutzer J, Blunt BA, Foulkes MA, Eisenberg HM. Predictors of outcome following severe head trauma: Follow-up data from the Traumatic Coma Data Bank. Brain Injury 1993;7:101–111
   PubMed Web of Science ®Google Scholar
• Anson K, Ponsford J. Coping and emotional adjustment following traumatic brain injury. The Journal of Head Trauma Rehabilitation 2006;21:248–259
   PubMed Web of Science ®Google Scholar
• Jorge RE, Robinson RG, Arndt SV, Forrester AW, Geisler F, Starkstein SE. Comparison between acute- and delayed-onset depression following traumatic brain injury. The Journal of Neuropsychiatry and Clinical Neurosciences 1993;5:43–49
   PubMed Web of Science ®Google Scholar
• Jorge RE, Robinson RG, Arndt SV, Starkstein SE, Forrester AW, Geisler F. Depression following traumatic brain injury: A 1 year longitudinal study. Journal of Affective Disorders 1993;27:233–243
   PubMed Web of Science ®Google Scholar
• Morton MV, Wehman P. Psychosocial and emotional sequelae of individuals with traumatic brain injury: A literature review and recommendations. Brain Injury 1995;9:81–92
   PubMed Web of Science ®Google Scholar
• Hoofien D, Gilboa A, Vakil E, Donovick PJ. Traumatic brain injury (TBI) 10-20 years later: A comprehensive outcome study of psychiatric symptomatology, cognitive abilities and psychosocial functioning. Brain Injury 2001;15:189–209
   PubMed Web of Science ®Google Scholar
• Felmingham KL, Baguley IJ, Crooks J. A comparison of acute and postdischarge predictors of employment 2 years after traumatic brain injury. Archives of Physical Medicine and Rehabilitation 2001;82:435–439
   PubMed Web of Science ®Google Scholar
• Ownsworth T, Fleming J. The relative importance of metacognitive skills, emotional status, and executive function in psychosocial adjustment following acquired brain injury. The Journal of Head Trauma Rehabilitation 2005;20:315–332
   PubMed Web of Science ®Google Scholar
• Simpson G, Tate R. Suicidality after traumatic brain injury: Demographic, injury and clinical correlates. Psychological Medicine 2002;32:687–697
   PubMed Web of Science ®Google Scholar
• Tsaousides T, Cantor JB, Gordon WA. Suicidal ideation following traumatic brain injury: Prevalence rates and correlates in adults living in the community. The Journal of Head Trauma Rehabilitation 2011;26:265–275
   PubMed Web of Science ®Google Scholar
• Harrison-Felix CL, Whiteneck GG, Jha A, DeVivo MJ, Hammond FM, Hart DM. Mortality over four decades after traumatic brain injury rehabilitation: A retrospective cohort study. Archives of Physical Medicine and Rehabilitation 2009;90:1506–1513
   PubMed Web of Science ®Google Scholar
• Shiffman S, Stone AA, Hufford MR. Ecological momentary assessment. Annual Review of Clinical Psychology 2008;4:1–32
   PubMed Web of Science ®Google Scholar
• Fleming JM, Strong J, Ashton R. Cluster analysis of self-awareness levels in adults with traumatic brain injury and relationshipto outcome. The Journal of Head Trauma Rehabilitation 1998;13:39–51
   PubMed Web of Science ®Google Scholar
• Dikmen SS, Corrigan JD, Levin HS, Machamer J, Stiers W, Weisskopf MG. Cognitive outcome following traumatic brain injury. The Journal of Head Trauma Rehabilitation 2009;24:430–438
   PubMed Web of Science ®Google Scholar
• Smyth JM, Stone AA. Ecological Momentary Assessment Research in behavioral medicine. Journal of Happiness Studies 2003;4:35–52
   Google Scholar
• Walz LC, Nauta MH, Aan Het Rot M. Experience sampling and ecological momentary assessment for studying the daily lives of patients with anxiety disorders: A systematic review. Journal of Anxiety Disorders 2014;28:925–937
   PubMed Web of Science ®Google Scholar
• Kim J, Nakamura T, Kikuchi H, Sasaki T, Yamamoto Y. Co-variation of depressive mood and locomotor dynamics evaluated by ecological momentary assessment in healthy humans. PLoS ONE 2013;8:e74979
   PubMed Web of Science ®Google Scholar
• Husky M, Olié E, Guillaume S, Genty C, Swendsen J, Courtet P. Feasibility and validity of ecological momentary assessment in the investigation of suicide risk. Psychiatry Research 2014;220:564–570
   PubMed Web of Science ®Google Scholar
• Donker T, Petrie K, Proudfoot J, Clarke J, Birch M-R, Christensen H. Smartphones for smarter delivery of mental health programs: A systematic review. Journal of Medical Internet Research 2013;15:541–548. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3841358/, accessed 8 December 2014
   Web of Science ®Google Scholar
• Ben-Zeev D, Kaiser SM, Brenner CJ, Begale M, Duffecy J, Mohr DC. Development and usability testing of FOCUS: A smartphone system for self-management of schizophrenia. Psychiatric Rehabilitation Journal 2013;36:289–296
   PubMed Web of Science ®Google Scholar
• Kirk GD, Linas BS, Westergaard RP, Piggott D, Bollinger RC, Chang LW, Genz A. The exposure assessment in current time study: Implementation, feasibility, and acceptability of real-time data collection in a community cohort of illicit drug users. AIDS Research and Treatment 2013;2013:594671
   PubMedGoogle Scholar
• Runyan JD, Steenbergh TA, Bainbridge C, Daugherty DA, Oke L, Fry BN. A smartphone ecological momentary assessment/intervention “app” for collecting real-time data and promoting self-awareness. PLoS One 2013;8:e71325
   PubMed Web of Science ®Google Scholar
• Garcia-Palacios A, Herrero R, Belmonte MA, Castilla D, Guixeres J, Molinari G, Baños RM. Ecological momentary assessment for chronic pain in fibromyalgia using a smartphone: A randomized crossover study. European Journal of Pain (London, England) 2014;18:862–872
   PubMed Web of Science ®Google Scholar
• De Joode EA, Van Heugten CM, Verhey FRJ, Van Boxtel MPJ. Effectiveness of an electronic cognitive aid in patients with acquired brain injury: A multicentre randomised parallel-group study. Neuropsychological Rehabilitation 2013;23:133–156
   PubMed Web of Science ®Google Scholar
• Culley C, Evans JJ. SMS text messaging as a means of increasing recall of therapy goals in brain injury rehabilitation: A single-blind within-subjects trial. Neuropsychological Rehabilitation 2010;20:103–119
   PubMed Web of Science ®Google Scholar
• Boman IL, Tham K, Granqvist A, Bartfai A, Hemmingsson H. Using electronic aids to daily living after acquired brain injury: A study of the learning process and the usability. Disability and rehabilitation. Assistive Technology 2007;2:23–33
   PubMedGoogle Scholar
• Lella A. comScore Reports April 2014 US Smartphone Subscriber Market Share. Reston, VA: comScore, Inc. 2014. http://www.comscore.com/Insights/Press-Releases/2014/6/comScore-Reports-April-2014-US-Smartphone-Subscriber-Market-Share, accessed 22 December 2014
   Google Scholar
• Teasdale G, Jennett B. Assessment of coma and impaired consciousness. A practical scale. Lancet 1974;2:81–84
   PubMed Web of Science ®Google Scholar
• Reitan RM. The relation of the trail making test to organic brain damage. Journal of Consulting Psychology 1955;19:393–394
   PubMedGoogle Scholar
• Wiegner S, Donders J. Performance on the California Verbal Learning Test after traumatic brain injury. Journal of Clinical and Experimental Neuropsychology 1999;21:159–170
   PubMed Web of Science ®Google Scholar
• Strong C-AH, Tiesma D, Donders J. Criterion validity of the Delis-Kaplan Executive Function System (D-KEFS) fluency subtests after traumatic brain injury. Journal of the International Neuropsychological Society 2011;17:230–237
   PubMed Web of Science ®Google Scholar
• Kroenke K, Spitzer RL, Williams JBW. The Patient Health Questionnaire-2: Validity of a two-item depression screener. Medical Care 2003;41:1284–1292
   PubMed Web of Science ®Google Scholar
• Spitzer RL, Kroenke K, Williams JBW, Löwe B. A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine 2006;166:1092–1097
   PubMed Web of Science ®Google Scholar
• Watson D, Clark LA, Tellegen A. Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology 1988;54:1063–1070
   PubMed Web of Science ®Google Scholar
• Crawford JR, Henry JD. The positive and negative affect schedule (PANAS): Construct validity, measurement properties and normative data in a large non-clinical sample. The British Journal of Clinical Psychology/the British Psychological Society 2004;43:245–265
   PubMed Web of Science ®Google Scholar
• Kroenke K, Spitzer RL, Williams JB. The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine 2001;16:606–613
   PubMed Web of Science ®Google Scholar
• Fann JR, Bombardier CH, Dikmen S, Esselman P, Warms CA, Pelzer E, Rau H, Temkin N. Validity of the Patient Health Questionnaire-9 in assessing depression following traumatic brain injury. The Journal of Head Trauma Rehabilitation 2005;20:501–511
   PubMed Web of Science ®Google Scholar
• Lewis JR. IBM computer usability satisfaction questionnaires: Psychometric evaluation and instructions for use. International Journal of Human-Computer Interaction 1995;7:57–78
   Web of Science ®Google Scholar
• Davis FD. User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies 1993;38:475–487
   Google Scholar
• Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)–a metadata-driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics 2009;42:377–381
   PubMed Web of Science ®Google Scholar
• Obeid JS, McGraw CA, Minor BL, Conde JG, Pawluk R, Lin M, Wang J, Banks SR, Hemphill SA, Taylor R, et al. Procurement of shared data instruments for Research Electronic Data Capture (REDCap). Journal of Biomedical Informatics 2013;46:259–265
   PubMed Web of Science ®Google Scholar
• Watson D, Clark LA, Weber K, Assenheimer JS, Strauss ME, McCormick RA. Testing a tripartite model: II. Exploring the symptom structure of anxiety and depression in student, adult, and patient samples. Journal of Abnormal Psychology 1995;104:15–25
   PubMed Web of Science ®Google Scholar
• Garcia C, Hardeman RR, Kwon G, Lando-King E, Zhang L, Genis T, Brady SS, Kinder E. Teenagers and texting: Use of a youth ecological momentary assessment system in trajectory health research with latina adolescents. JMIR mHealth and uHealth 2014;2:e3
   PubMed Web of Science ®Google Scholar
• Dunbar MS, Scharf D, Kirchner T, Shiffman S. Do smokers crave cigarettes in some smoking situations more than others? Situational correlates of craving when smoking. Nicotine & Tobacco Research: Official Journal of the Society for Research on Nicotine and Tobacco 2010;12:226–234
   PubMed Web of Science ®Google Scholar
• Choi SW, Schalet B, Cook KF, Cella D. Establishing a common metric for depressive symptoms: Linking the BDI-II, CES-D, and PHQ-9 to PROMIS depression. Psychological Assessment 2014;26:513–527
   PubMed Web of Science ®Google Scholar
• Juengst SB, Kumar RG, Failla MD, Goyal A, Wagner AK. Acute inflammatory biomarker profiles predict depression risk following moderate to severe traumatic brain injury. The Journal of Head Trauma Rehabilitation 2014;30:207–218
   Web of Science ®Google Scholar
• Juengst SB, Kumar RG, Arenth PM, Wagner AK. Exploratory associations with Tumor Necrosis Factor-α, disinhibition and suicidal endorsement after traumatic brain injury. Brain, Behavior, and Immunity 2014;41:134–143
   PubMed Web of Science ®Google Scholar
• Failla MD, Burkhardt JN, Miller MA, Scanlon JM, Conley YP, Ferrell RE, Wagner AK. Variants of SLC6A4 in depression risk following severe TBI. Brain Injury 2013;27:696–706
   PubMed Web of Science ®Google Scholar
• Failla MD, Kumar RG, Peitzman AB, Conley YP, Ferrell RE, Wagner AK. Variation in the BDNF gene interacts with age to predict mortality in a prospective, longitudinal cohort with severe TBI. Neurorehabilitation and Neural Repair 2014;29:234–246
   PubMed Web of Science ®Google Scholar