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23 - Ambulatory Assessment

from Part VI - Intensive Longitudinal Designs

Published online by Cambridge University Press:  23 March 2020

Aidan G. C. Wright
Affiliation:
University of Pittsburgh
Michael N. Hallquist
Affiliation:
Pennsylvania State University
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Summary

Environmental factors may be associated with the occurrence and exacerbation of psychopathological symptoms. Given these associations, studying individuals in the real world, as they go about their daily lives, is necessary to understand the patient experience. With the emphasis on recording information in real-time and in real-world settings, ambulatory assessment methods can be used to assess the dynamic interplay between individuals and the environmental influences on their behaviors. By monitoring the contextual information that drives pathological symptoms and behaviors, we can better understand the lived experience of psychological disorders and use this information to inform more personalized, cost-effective treatments. This chapter presents an overview of ambulatory assessment methods for studying psychopathology including the unique strengths and challenges associated with these methods. Furthermore, it discusses how ambulatory assessment methods can be utilized in treatments for psychological disorders. In particular, it focuses on the potential for ambulatory assessment technologies to revolutionize clinical treatments by intervening earlier in the symptom time course than conventional in-person strategies. Finally the chapter discusses ethical issues such as privacy and confidentiality associated with the use of electronic data and future directions in the development of interventions in psychopathology.

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Publisher: Cambridge University Press
Print publication year: 2020

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References

Achenbach, T. (2006). As Others See Us: Clinical and Research Implications of Cross-Informant Correlations of Psychopathology. Current Directions in Psychological Science, 15(2), 9498Google Scholar
Alpers, G. W. (2009). Ambulatory Assessment in Panic Disorder and Specific Phobia. Psychological Assessment, 21(4), 476485.Google Scholar
Armey, M. F., Schatten, H. T., Haradhvala, N., & Miller, I. W. (2015). Ecological Momentary Assessment (EMA) of Depression-Related Phenomena. Current Opinion in Psychology, 4, 2125.Google Scholar
Barley, R. (1991). The Ecological Validity of Laboratory and Analogue Assessment Methods of ADHD Symptoms. Journal of Abnormal Child Psychology, 19(2), 149178.Google Scholar
Ben-Zeev, D., Ellington, K., Swendsen, J., & Granholm, E. (2011). Examining a Cognitive Model of Persecutory Ideation in the Daily Life of People with Schizophrenia: A Computerized Experience Sampling Study. Schizophrophrenia Bulletin, 37(6), 12481256.Google Scholar
Ben-Zeev, D., Frounfelker, R., Morris, S. B., & Corrigan, P. W. (2012a). Predictors of Self-Stigma in Schizophrenia: New Insights Using Mobile Technologies. Journal Dual Diagnosis, 8(4), 305314.CrossRefGoogle ScholarPubMed
Ben-Zeev, D., Morris, S., Swendsen, J., & Granholm, E. (2012b). Predicting the Occurrence, Conviction, Distress, and Disruption of Different Delusional Experiences in the Daily Life of People with Schizophrenia. Schizophrophrenia Bulletin, 38(4), 826837.Google Scholar
Bindoff, I., de Salas, K., Peterson, G., Ling, T., Lewis, I., Wells, L., … Ferguson, S. G. (2016). Quittr: The Design of a Video Game to Support Smoking Cessation. Journal of Medical Internet Research Serious Games, 4(2), e19.Google Scholar
Birney, A. J., Gunn, R., Russell, J. K., & Ary, D. V. (2016). MoodHacker Mobile Web App With Email for Adults to Self-Manage Mild-to-Moderate Depression: Randomized Controlled Trial. Journal of Medical Internet Research Mhealth Uhealth, 4(1), e8.Google Scholar
Boivin, D. (2000). Influence of Sleep-Wake and Circadian Rhythm Disturbances in Psychiatric Disorders. Journal of Psychiatry & Neuroscience, 25(5), 446458.Google Scholar
Burke, L. E., Shiffman, S., Music, E., Styn, M. A., Kriska, A., Smailagic, A., … Rathbun, S. L. (2017). Ecological Momentary Assessment in Behavioral Research: Addressing Technological and Human Participant Challenges. Journal of Medical Internet Research, 19(3), e77.Google Scholar
Burns, M. N., Begale, M., Duffecy, J., Gergle, D., Karr, C. J., Giangrande, E., & Mohr, D. C. (2011). Harnessing Context Sensing to Develop a Mobile Intervention for Depression. Journal of Medical Internet Research, 13(3), e55.Google Scholar
Businelle, M. S., Ma, P., Kendzor, D. E., Frank, S. G., Vidrine, D. J., & Wetter, D. W. (2016a). An Ecological Momentary Intervention for Smoking Cessation: Evaluation of Feasibility and Effectiveness. Journal of Medical Internet Research, 18(12), e321.Google Scholar
Businelle, M. S., Ma, P., Kendzor, D. E., Frank, S. G., Wetter, D. W., & Vidrine, D. J. (2016b). Using Intensive Longitudinal Data Collected via Mobile Phone to Detect Imminent Lapse in Smokers Undergoing a Scheduled Quit Attempt. Journal of Medical Internet Research, 18(10), e275.CrossRefGoogle ScholarPubMed
Carroll, J. F. X. (2016). What Constitutes “Success” in Addiction Treatment and How Do We Determine What Works Best? Alcoholism Treatment Quarterly, 34(2), 252260.CrossRefGoogle Scholar
Conner, T., & Lehman, B. (2012). Getting Started: Launching a Study in Daily Life. In Mehl, M. & Conner, T. (Eds.), Handbook of Research Methods for Studying Daily Life (pp. 89107). New York: The Guilford Press.Google Scholar
Delespaul, P., deVries, M., & van Os, J. (2002). Determinants of Occurrence and Recovery from Hallucinations in Daily Life. Social Psychiatry and Psychiatric Epidemiology, 37(7), 97104.Google Scholar
De Montjoye, A., Hidalgo, C. A., Verleysen, M., & Blondel, V. D. (2013). Unique in the Crowd: The Privacy Bounds of Human Mobility. Scientific Reports, 3(1376), 15.Google Scholar
Donker, T., Petrie, K., Proudfoot, J., Clarke, J., Birch, M. R., & Christensen, H. (2013). Smartphones for Smarter Delivery of Mental Health Programs: A Systematic Review. Journal of Medical Internet Research, 15(11), e247.Google Scholar
Ebner-Priemer, U. W., Welch, S. S., Grossman, P., Reisch, T., Linehan, M. M., & Bohus, M. (2007). Psychophysiological Ambulatory Assessment of Affective Dysregulation in Borderline Personality Disorder. Psychiatry Research, 150(3), 265275.CrossRefGoogle ScholarPubMed
Elliston, K. G., Ferguson, S. G., Schuz, N., & Schuz, B. (2017). Situational Cues and Momentary Food Environment Predict Everyday Eating Behavior in Adults with Overweight and Obesity. Health Psychology, 36(4), 337345.Google Scholar
Ferguson, S. G., Frandsen, M., Dunbar, M. S., & Shiffman, S. (2015). Gender and Stimulus Control of Smoking Behavior. Nicotine & Tobacco Research, 17(4), 431437.Google Scholar
Firth, J., Cotter, J., Torous, J., Bucci, S., Firth, J. A., & Yung, A. R. (2016). Mobile Phone Ownership and Endorsement of “mHealth” Among People with Psychosis: A Meta-Analysis of Cross-Sectional Studies. Schizophrophrenia Bulletin, 42(2), 448455.Google Scholar
Firth, J., Torous, J., Nicholas, J., Carney, R., Rosenbaum, S., & Sarris, J. (2017). Can Smartphone Mental Health Interventions Reduce Symptoms of Anxiety? A Meta-Analysis of Randomized Controlled Trials. Journal of Affective Disorders, 218, 1522.CrossRefGoogle ScholarPubMed
Gainsbury, S., & Blaszczynski, A. (2011). A Systematic Review of Internet-Based Therapy for the Treatment of Addictions. Clinical Psychology Review, 31(3), 490498.CrossRefGoogle ScholarPubMed
Gaudiano, B. A., Moitra, E., Ellenberg, S., & Armey, M. F. (2015). The Promises and Challenges of Ecological Momentary Assessment in Schizophrenia: Development of an Initial Experimental Protocol. Healthcare (Basel), 3(3), 556573.Google Scholar
Gunlicks-Stoessel, M., Mufson, L., Westervelt, A., Almirall, D., & Murphy, S. (2016). A Pilot SMART for Developing an Adaptive Treatment Strategy for Adolescent Depression. Journal of Clinical Child & Adolescent Psychology, 45(4), 480494.Google Scholar
Hammersley, R. (1994). A Digest of Memory Phenomena for Addiction Research. Addiction, 89(3), 283293.CrossRefGoogle ScholarPubMed
Havermans, R., Nicolson, N. A., Berkhof, J., & deVries, M. W. (2011). Patterns of Salivary Cortisol Secretion and Responses to Daily Events in Patients with Remitted Bipolar Disorder. Psychoneuroendocrinology, 36(2), 258265.Google Scholar
Hufford, M. R., Shields, A. L., Shiffman, S., Paty, J., & Balabanis, M. (2002). Reactivity to Ecological Momentary Assessment: An Example Using Undergraduate Problem Drinkers. Psychology of Addictive Behaviors, 16(3), 205211.Google Scholar
Hufford, M. R., & Shiffman, S. (2002). Methodological Issues Affecting the Value of Patient-Reported Outcomes Data. Expert Review on Pharmacoeconomic Outcomes Research, 2(2), 119128.CrossRefGoogle ScholarPubMed
Kaplan, R. M., & Stone, A. A. (2013). Bringing the Laboratory and Clinic to the Community: Mobile Technologies for Health Promotion and Disease Prevention. Annual Reviews Psychology, 64, 471498.Google Scholar
Kimhy, D., Delespaul, P., Ahn, H., Cai, S., Shikhman, M., Lieberman, J. A., … Sloan, R. P. (2010). Concurrent Measurement of “Real-World” Stress and Arousal in Individuals with Psychosis: Assessing the Feasibility and Validity of a Novel Methodology. Schizophrophrenia Bulletin, 36(6), 11311139.Google Scholar
Kirchner, T. R., Cantrell, J., Anesetti-Rothermel, A., Ganz, O., Vallone, D. M., & Abrams, D. B. (2013). Geospatial Exposure to Point-of-Sale Tobacco: Real-Time Craving and Smoking-Cessation Outcomes. American Journal of Preventive Medicine, 45(4), 379385.Google Scholar
Klasnja, P., Hekler, E. B., Shiffman, S., Boruvka, A., Almirall, D., Tewari, A., & Murphy, S. A. (2015). Microrandomized Trials: An Experimental Design for Developing Just-in-Time Adaptive Interventions. Health Psychology, 34S, 12201228.Google Scholar
Klasnja, P., Consolvo, S., McDonald, D. W., Landay, J. A., & Pratt, W. (2009). Using Mobile & Personal Sensing Technologies to Support Health Behavior Change in Everyday Life: Lessons Learned. American Medical Informatics Association Annual Symposium, 2009, 338342.Google Scholar
Kumar, S., Nilsen, W. J., Abernethy, A., Atienza, A., Patrick, K., Pavel, M., … Swendeman, D. (2013). Mobile Health Technology Evaluation: The mHealth Evidence Workshop. American Journal of Preventive Medicine, 45(2), 228236.Google Scholar
Labrique, A. B., Vasudevan, L., Kochi, E., Fabricant, R., & Mehl, G. (2013). mHealth Innovations as Health System Strengthening Tools: 12 Common Applications and a Visual Framework. Global Health Science and Practice, 1(2), 160171.Google Scholar
Maclure, M., & Mittleman, M. A. (2000). Should We Use a Case-Crossover Design? Annual Review of Public Health, 21, 193221.Google Scholar
Martin, P. (2003). The Epidemiology of Anxiety Disorders: A Review. Dialogues in Clinical Neuroscience, 5(3), 281298.Google Scholar
McFall, R. M. (1977). Parameters of Self-Monitoring. In Stuart, R. B. (Ed.), Behavioral Self-Management: Strategies, Techniques, and Outcome (pp. 196214). New York: Brunner/Mazel.Google Scholar
McClure, J. B., Hartzler, A. L., & Catz, S. L. (2016). Design Considerations for Smoking Cessation Apps: Feedback From Nicotine Dependence Treatment Providers and Smokers. Journal of Medical Internet Research Mhealth Uhealth, 4(1), e17.Google Scholar
Mehl, M. R. (2017). The Electronically Activated Recorder (EAR): A Method for the Naturalistic Observation of Daily Social Behavior. Current Directions in Psychological Science, 26(2), 184190.Google Scholar
Mohr, D. C., Zhang, M., & Schueller, S. M. (2017). Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning. Annual Review of Clinical Psychology, 13, 2347.CrossRefGoogle ScholarPubMed
Moskowitz, D. S., & Young, S. N. (2006). Ecological Momentary Assessment: What It Is and Why It Is a Method of the Future in Clinical Psychopharmacology. Journal of Psychiatry and Neuroscience, 31(1), 1320.Google Scholar
Myin-Germeys, I., Oorschot, M., Collip, D., Lataster, J., Delespaul, P., & van Os, J. (2009). Experience Sampling Research in Psychopathology: Opening the Black Box of Daily Life. Psychology & Medicine, 39(9), 15331547.Google Scholar
Nahum-Shani, I., Smith, S. N., Spring, B. J., Collins, L. M., Witkiewitz, K., Tewari, A., & Murphy, S. A. (2016). Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support. Annals of Behavioral Medicine, 52(6), 446462.Google Scholar
Naughton, F., Hopewell, S., Lathia, N., Schalbroeck, R., Brown, C., Mascolo, C., … Sutton, S. (2016). A Context-Sensing Mobile Phone App (Q Sense) for Smoking Cessation: A Mixed-Methods Study. Journal of Medical Internet Research Mhealth Uhealth, 4(3), e106.Google Scholar
Oorschot, M., Lataster, T., Thewissen, V., Wichers, M., & Myin-Germeys, I. (2012). Mobile Assessment in Schizophrenia: A Data-Driven Momentary Approach. Schizophrenia Bulletin, 38(3), 405413.CrossRefGoogle ScholarPubMed
Picard, R. W., Fedor, S., & Ayzenberg, Y. (2016). Multiple Arousal Theory and Daily-Life Electrodermal Activity Asymmetry. Emotion Review, 8(1), 6275.Google Scholar
Przeworski, A., & Newman, M. G. (2004). Palmtop Computer-Assisted Group Therapy for Social Phobia. Journal of Clinical Psychology, 60(2), 179188.Google Scholar
Rodgers, A., Corbett, T., Bramley, D., Riddell, T., Wills, M., Lin, R. B., & Jones, M. (2005). Do U Smoke After Txt? Results of a Randomised Trial of Smoking Cessation Using Mobile Phone Text Messaging. Tobacco Control, 14(4), 255261.Google Scholar
Runyan, J. D., Steenbergh, T. A., Bainbridge, C., Daugherty, D. A., Oke, L., & Fry, B. N. (2013). A Smartphone Ecological Momentary Assessment/Intervention “App” for Collecting Real-Time Data and Promoting Self-Awareness. PLOS ONE, 8(8), e71325.Google Scholar
Saeb, S., Zhang, M., Karr, C. J., Schueller, S. M., Corden, M. E., Kording, K. P., Mohr, D.C. (2015). Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study. Journal of Medical Internet Research Mhealth Uhealth, 17, e175.Google Scholar
Schüz, B., Bower, J., & Ferguson, S. G. (2015). Stimulus Control and Affect in Dietary Behaviours: An Intensive Longitudinal Study. Appetite, 87, 310317.CrossRefGoogle ScholarPubMed
Schwartz, S., Schultz, S., Reider, A., & Saunders, E. F. (2016). Daily Mood Monitoring of Symptoms Using Smartphones in Bipolar Disorder: A Pilot Study Assessing the Feasibility of Ecological Momentary Assessment. Journal of Affective Disorders, 191, 8893.Google Scholar
Shiffman, S. (2009). Ecological Momentary Assessment (EMA) in Studies of Substance Use. Psychological Assessment, 21(4), 486497.CrossRefGoogle ScholarPubMed
Shiffman, S. (2014). Ecological Momentary Assessment. In Sher, K. J. (Ed.), The Oxford Handbook of Substance Use Disorders (Vol. 2). Oxford: Oxford University Press.Google Scholar
Shiffman, S., Stone, A. A., & Hufford, M. R. (2008). Ecological Momentary Assessment. Annual Review of Clinical Psychology, 4, 132.Google Scholar
Shiffman, S., Dunbar, M. S., Li, X., Scholl, S. M., Tindle, H. A., Anderson, S. J., & Ferguson, S. G. (2014). Smoking Patterns and Stimulus Control in Intermittent and Daily Smokers. PLOS ONE, 9(3), e89911.Google Scholar
Shiffman, S., Dunbar, M. S., & Ferguson, S. G. (2015). Stimulus Control in Intermittent and Daily Smokers. Psychology of Addictive Behaviors, 29(4), 847855.Google Scholar
Smyth, J. M., Wonderlich, S. A., Sliwinski, J. M., Crosby, D. R., Engel, S. G., Mitchell, J. E., & Calogero, R. M. (2009). Ecological Momentary Assessment of Affect, Stress, and Binge- Purge Behaviors: Day of Week and Time of Day Effects in the Natural Environment. International Journal of Eating Disorders, 42(5), 429436.Google Scholar
Spook, J. E., Paulussen, T., Kok, G., & Van Empelen, P. (2013). Monitoring Dietary Intake and Physical Activity Electronically: Feasibility, Usability, and Ecological Validity of a Mobile-Based Ecological Momentary Assessment tool. Journal of Medical Internet Research, 15(9), e214.Google Scholar
Stone, A. A., & Shiffman, S. (1994). Ecological Momentary Assessment (EMA) in Behavioral Medicine. Annals of Behavioral Medicine, 16(3), 199202.Google Scholar
Stone, A. A., Broderick, J. E., Schwartz, J. E., Shiffman, S., Litcher-Kelly, L., & Calvanese, P. (2003a). Intensive Momentary Reporting of Pain with an Electronic Diary: Reactivity, Compliance, and Patient Satisfaction. Pain, 104(1), 343351.Google Scholar
Stone, A. A., Shiffman, S., Schwartz, J. E., Broderick, J. E., & Hufford, M. R. (2003b). Patient Compliance with Paper and Electronic Diaries. Controlled Clinical Trials, 24(2), 182199.Google Scholar
Tahmasian, M., Khazaie, H., Golshani, S., & Avis, K. T. (2013). Clinical Application of Actigraphy in Psychotic Disorders: A Systematic Review. Current Psychiatry Reports, 15(6), 359.Google Scholar
Thornorarinsdottir, H., Kessing, L. V., & Faurholt-Jepsen, M. (2017). Smartphone-Based Self-Assessment of Stress in Healthy Adult Individuals: A Systematic Review. Journal of Medical Internet Research, 19(2), e41.Google Scholar
Tilley, P. J., & Rees, C. S. (2014). A Clinical Case Study of the Use of Ecological Momentary Assessment in Obsessive Compulsive Disorder. Frontiers in Psychology, 5, 339.Google Scholar
Tomko, R. L., Brown, W. C., Tragesser, S. L., Wood, P. K., Mehl, M. R., & Trull, T. J. (2014). Social Context of Anger in Borderline Personality Disorder and Depressive Disorders: Findings from a Naturalistic Observation Study. Journal of Personality Disorders, 28(3), 434448.CrossRefGoogle ScholarPubMed
Trull, T. J., Solhan, M. B., Tragesser, S. L., Jahng, S., Wood, P. K., Piasecki, T. M., & Watson, D. (2008). Affective Instability: Measuring a Core Feature of Borderline Personality Disorder with Ecological Momentary Assessment. Journal of Abnormal Psychology, 117(3), 647661.Google Scholar
Ubhi, H. K., Michie, S., Kotz, D., Wong, W. C., & West, R. (2015). A Mobile App to Aid Smoking Cessation: Preliminary Evaluation of SmokeFree28. Journal of Medical Internet Research, 17(1), e17.Google Scholar
Vallance, J. K., Winkler, E. A., Gardiner, P. A., Healy, G. N., Lynch, B. M., & Owen, N. (2011). Associations of Objectively-Assessed Physical Activity and Sedentary Time with Depression: NHANES (2005‒2006). Preventive Medicine, 53(4‒5), 284288.Google Scholar
Walz, L. C., Nauta, M. H., & Aan Het Rot, M. (2014). Experience Sampling and Ecological Momentary Assessment for Studying the Daily Lives of Patients with Anxiety Disorders: A Systematic Review. Journal of Anxiety Disorders, 28(8), 925937.Google Scholar
Wheeler, L., & Reis, H. T. (1991). Self-Recording of Everyday Life Events: Origins, Types, and Uses. Journal of Personality, 59(3), 339354.Google Scholar
Whittaker, R., McRobbie, H., Bullen, C., Rodgers, A., & Gu, Y. (2016). Mobile Phone-Based Interventions for Smoking Cessation. Cochrane Database of Systematic Reviews, 4, CD006611.Google Scholar
Wilhelm, F. H., Pfaltz, M. C., & Grossman, P. (2006). Continuous Electronic Data Capture of Physiology, Behavior and Experience in Real Life: Towards Ecological Momentary Assessment of Emotion. Interacting with Computers, 18(2), 171186.Google Scholar
Wright, C. J., Dietze, P. M., Crockett, B., & Lim, M. S. (2016). Participatory Development of MIDY (Mobile Intervention for Drinking in Young People). BMC Public Health, 16, 184.Google Scholar
Zhao, J., Freeman, B., & Li, M. (2016). Can Mobile Phone Apps Influence People’s Health Behavior Change? An Evidence Review. Journal of Medical Internet Research, 18(1), e287.Google Scholar

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