Ambulatory Assessment

Trull, Timothy J.; Ebner-Priemer, Ulrich

doi:10.1146/annurev-clinpsy-050212-185510

Cited by 761Mental Health Research TopicsDigital Mental Health InterventionsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Ambulatory Assessment

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Trull, Timothy J., Ebner-Priemer, Ulrich·2013·Annual Review of Clinical Psychology

DOI 10.1146/annurev-clinpsy-050212-185510PMC PMC4249763

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Abstract

Ambulatory assessment (AA) covers a wide range of assessment methods to study people in their natural environment, including self-report, observational, and biological/physiological/behavioral. AA methods minimize retrospective biases while gathering ecologically valid data from patients' everyday life in real time or near real time. Here, we report on the major characteristics of AA, and we provide examples of applications of AA in clinical psychology (a) to investigate mechanisms and dynamics of symptoms, (b) to predict the future recurrence or onset of symptoms, (c) to monitor treatment effects, (d) to predict treatment success, (e) to prevent relapse, and (f) as interventions. In addition, we present and discuss the most pressing and compelling future AA applications: technological developments (the smartphone), improved ecological validity of laboratory results by combined lab-field studies, and investigating gene-environment interactions. We conclude with a discussion of acceptability, compliance, privacy, and ethical issues.

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Mobile phone technology has the capacity to facilitate ecological momentary assessment (EMA), that is, self-monitoring of symptoms and behaviors in real-time and in real-world contexts.
“A particular advantage of mobile phone technology is its capacity to facilitate ecological momentary assessment (EMA); that is, self-monitoring of symptoms and behaviors in real-time and in real-world contexts [14,15].”
From Breaking open the black box: isolating the most potent features of a web and mobile phone-based intervention for depression, anxiety, and stress (2015) · cites this paper as [15]

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Mobile Technologies in the Study, Assessment, and Treatment of Schizophrenia
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Noninvasive Psychophysiological Ambulatory Recordings
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Ambulatory assessment in panic disorder and specific phobia.
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Use of Palm computer as an adjunct to cognitive–behavioural therapy with an ultra‐high‐risk patient: a case report
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CUE: The continuous unified electronic diary method
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Social Context of Anger in Borderline Personality Disorder and Depressive Disorders: Findings From a Naturalistic Observation Study
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A comparison of alprazolam and behavior therapy in treatment of panic disorder.
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Motor activity in depressed children
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Ambulatory Monitoring in the Genetics of Psychosomatic Medicine
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Measuring Temporal (In)Stability and Variability
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The relation between short-term emotion dynamics and psychological well-being: A meta-analysis.
Houben, M., Van Den Noortgate, W., & Kuppens, P. (2015) · Psychological Bulletin · doi:10.1037/a0038822 · Cited by 1,043 · see citing works
Teenagers, screens and social media: a narrative review of reviews and key studies
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Subjective Cognitive Decline in Preclinical Alzheimer's Disease
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At the Frontiers of Modeling Intensive Longitudinal Data: Dynamic Structural Equation Models for the Affective Measurements from the COGITO Study
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ESM 2.0: State of the art and future potential of experience sampling methods in organizational research
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Diez pasos para la construcción de un test
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Assessment of Psychosocial and Functional Impact of Chronic Pain
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A therapeutic application of the experience sampling method in the treatment of depression: a randomized controlled trial
Kramer, I., Simons, C. J. P., Hartmann, J. A., Menne-Lothmann, C., Viechtbauer, W., Peeters, F., Schruers, K., van Bemmel, A. L., Myin-Germeys, I., Delespaul, P., et al. (2014) · World Psychiatry · doi:10.1002/wps.20090 · Cited by 306 · see citing works
Photoplethysmography based atrial fibrillation detection: a review
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Stability and variability of personality networks. A tutorial on recent developments in network psychometrics
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The Role of Ambulatory Assessment in Psychological Science
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Personalized Models of Psychopathology
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Affective dynamics in psychopathology
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Clinical Child and Family Psychology Review
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Smartphone-Based Ecological Momentary Assessment of Well-Being: A Systematic Review and Recommendations for Future Studies
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Assessing Temporal Emotion Dynamics Using Networks
Bringmann, L. F., Pe, M. L., Vissers, N., Ceulemans, E., Borsboom, D., Vanpaemel, W., Tuerlinckx, F., & Kuppens, P. (2016) · Assessment · doi:10.1177/1073191116645909 · Cited by 235 · see citing works
m-Path: an easy-to-use and highly tailorable platform for ecological momentary assessment and intervention in behavioral research and clinical practice
Mestdagh, M., Verdonck, S., Piot, M., Niemeijer, K., Kilani, G., Tuerlinckx, F., Kuppens, P., & Dejonckheere, E. (2023) · Frontiers Digit. Health · doi:10.3389/fdgth.2023.1182175 · Cited by 175 · see citing works
Annual Research Review: Ecological momentary assessment studies in child psychology and psychiatry
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The application of mHealth to mental health: opportunities and challenges
Marzano, L., Bardill, A., Fields, B., Herd, K., Veale, D., Grey, N., & Moran, P. (2015) · The Lancet Psychiatry · doi:10.1016/s2215-0366(15)00268-0 · Cited by 200 · see citing works
Modeling Affect Dynamics: State of the Art and Future Challenges
Hamaker, E. L., Ceulemans, E., Grasman, R. P. P. P., & Tuerlinckx, F. (2015) · Emotion Review · doi:10.1177/1754073915590619 · Cited by 207 · see citing works
Applied ambulatory assessment: Integrating idiographic and nomothetic principles of measurement.
Wright, A. G. C., & Zimmermann, J. (2019) · Psychological Assessment · doi:10.1037/pas0000685 · Cited by 204 · see citing works
Mobile EEG in research on neurodevelopmental disorders: Opportunities and challenges
Lau‐Zhu, A., Lau, M., & McLoughlin, G. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100635 · Cited by 202 · see citing works
Experience sampling and ecological momentary assessment for studying the daily lives of patients with anxiety disorders: a systematic review
Walz, L. C., Nauta, M. H., & aan het Rot, M. (2014) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2014.09.022 · Cited by 195 · see citing works
Changing dynamics: Time-varying autoregressive models using generalized additive modeling.
Bringmann, L. F., Hamaker, E. L., Vigo, D. E., AUBERT, A. E., Borsboom, D., & Tuerlinckx, F. (2016) · Psychological Methods · doi:10.1037/met0000085 · Cited by 190 · see citing works
The Design of Ecological Momentary Assessment Technologies
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CrossCheck: Integrating self-report, behavioral sensing, and smartphone use to identify digital indicators of psychotic relapse.
Ben‐Zeev, D., Brian, R., Wang, R., Wang, W., Campbell, A. T., Aung, M. H., Merrill, M., Tseng, V. W.-S., Choudhury, T., Hauser, M., et al. (2017) · Psychiatric Rehabilitation Journal · doi:10.1037/prj0000243 · Cited by 185 · see citing works
To center or not to center? Investigating inertia with a multilevel autoregressive model
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A Smartphone Ecological Momentary Assessment/Intervention “App” for Collecting Real-Time Data and Promoting Self-Awareness
Runyan, J. D., Steenbergh, T. A., Bainbridge, C., Daugherty, D. A., Oke, L., & Fry, B. N. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071325 · Cited by 179 · see citing works
Ambulatory assessment for physical activity research: State of the science, best practices and future directions
Reichert, M., Giurgiu, M., Koch, E. D., Wieland, L. M., Lautenbach, S., Neubauer, A., von Haaren‐Mack, B., Schilling, R., Timm, I., Notthoff, N., et al. (2020) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2020.101742 · Cited by 179 · see citing works
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Reward Processing, Neuroeconomics, and Psychopathology
Zald, D. H., & Treadway, M. T. (2017) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032816-044957 · Cited by 181 · see citing works
Time to get personal? The impact of researchers’ choices on the selection of treatment targets using the experience sampling methodology
Bastiaansen, J. A., Kunkels, Y. K., Blaauw, F., Boker, S. M., Ceulemans, E., Chen, M., Chow, S.-M., de Jonge, P., Emerencia, A. C., Epskamp, S., et al. (2019) · doi:10.31234/osf.io/c8vp7 · Cited by 158 · see citing works
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Resilience and the brain: a key role for regulatory circuits linked to social stress and support
Holz, N. E., Tost, H., & Meyer-Lindenberg, A. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0551-9 · Cited by 162 · see citing works
Measuring impulsivity in daily life: The Momentary Impulsivity Scale.
Tomko, R. L., Solhan, M. B., Carpenter, R. W., Brown, W. C., Jahng, S., Wood, P. K., & Trull, T. J. (2013) · Psychological Assessment · doi:10.1037/a0035083 · Cited by 151 · see citing works
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A systematic review of daily life studies on non-suicidal self-injury based on the four-function model
Hepp, J., Carpenter, R. W., Störkel, L. M., Schmitz, S. E., Schmahl, C. G., & Niedtfeld, I. (2020) · Clinical Psychology Review · doi:10.1016/j.cpr.2020.101888 · Cited by 148 · see citing works
Uncovering general, shared, and unique temporal patterns in ambulatory assessment data.
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Specificity of affective instability in patients with borderline personality disorder compared to posttraumatic stress disorder, bulimia nervosa, and healthy controls.
Santangelo, P., Reinhard, I., Mussgay, L., Steil, R., Sawitzki, G., Klein, C., Trull, T. J., Bohus, M., & Ebner‐Priemer, U. (2014) · Journal of Abnormal Psychology · doi:10.1037/a0035619 · Cited by 139 · see citing works
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Modeling Nonstationary Emotion Dynamics in Dyads using a Time-Varying Vector-Autoregressive Model
Bringmann, L. F., Ferrer, E. E., Hamaker, E. L., Borsboom, D., & Tuerlinckx, F. (2018) · Multivariate Behavioral Research · doi:10.1080/00273171.2018.1439722 · Cited by 144 · see citing works
Stability and fluctuation of personality disorder features in daily life.
Wright, A. G. C., & Simms, L. J. (2016) · Journal of Abnormal Psychology · doi:10.1037/abn0000169 · Cited by 138 · see citing works
Discrete- vs. Continuous-Time Modeling of Unequally Spaced Experience Sampling Method Data
de Haan-Rietdijk, S., Voelkle, M., Keijsers, L., & Hamaker, E. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01849 · Cited by 120 · see citing works
A standardized validity assessment protocol for physiological signals from wearable technology: Methodological underpinnings and an application to the E4 biosensor
van Lier, H. G., Pieterse, M. E., Garde, A., Postel, M. G., de Haan, H. A., Vollenbroek-Hutten, M. M. R., Schraagen, J. M., & Noordzij, M. L. (2019) · Behavior Research Methods · doi:10.3758/s13428-019-01263-9 · Cited by 134 · see citing works
Using network analysis for the prediction of treatment dropout in patients with mood and anxiety disorders: A methodological proof-of-concept study
Lutz, W., Schwartz, B., Hofmann, S., Fisher, A., Husen, K., & Rubel, J. (2018) · Scientific Reports · doi:10.1038/s41598-018-25953-0 · Cited by 124 · see citing works
Making the Black Box Transparent: A Template and Tutorial for Registration of Studies Using Experience-Sampling Methods
Kirtley, O. J., Lafit, G., Achterhof, R., Hiekkaranta, A. P., & Myin‐Germeys, I. (2021) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245920924686 · Cited by 130 · see citing works
Investigating the Dynamics of Suicidal Ideation: Preliminary Findings From a Study Using Ecological Momentary Assessments in Psychiatric Inpatients
Hallensleben, N., Spangenberg, L., Forkmann, T., Rath, D., Hegerl, U., Kersting, A., Kallert, T. W., & Glaesmer, H. (2018) · Crisis · doi:10.1027/0227-5910/a000464 · Cited by 125 · see citing works
The Role of Time in the Quest for Understanding Psychological Mechanisms
Voelkle, M., Gische, C., Driver, C. C., & Lindenberger, U. (2018) · Multivariate Behavioral Research · doi:10.1080/00273171.2018.1496813 · Cited by 97 · see citing works
On the Road to Personalized Psychotherapy: A Research Agenda Based on Cognitive Behavior Therapy for Depression
Huibers, M. J. H., Lorenzo‐Luaces, L., Cuijpers, P. J., & Kazantzis, N. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.607508 · Cited by 125 · see citing works
Auditory Environment Across the Life Span of Cochlear Implant Users: Insights From Data Logging
Busch, T., Vanpoucke, F. J., & Wieringen, A. V. (2017) · Journal of Speech Language and Hearing Research · doi:10.1044/2016_jslhr-h-16-0162 · Cited by 121 · see citing works
Associations among sleep, daily experiences, and loneliness in adolescence: Evidence of moderating and bidirectional pathways
Doane, L. D., & Thurston, E. C. (2013) · Journal of Adolescence · doi:10.1016/j.adolescence.2013.11.009 · Cited by 119 · see citing works
Novel techniques for automated seizure registration: Patients' wants and needs
Hoppe, C., Feldmann, M., Blachut, B., Surges, R., Elger, C. E., & Helmstaedter, C. (2015) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2015.08.006 · Cited by 116 · see citing works
Stress exacerbates pain in the everyday lives of women with fibromyalgia syndrome—The role of cortisol and alpha-amylase
Fischer, S., Doerr, J. M., Strahler, J., Mewes, R., Thieme, K., & Nater, U. M. (2016) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2015.09.018 · Cited by 114 · see citing works
DSM‐5 and the path toward empirically based and clinically useful conceptualization of personality and psychopathology.
Krueger, R. F., Hopwood, C. J., Wright, A. G. C., & Markon, K. E. (2014) · Clinical Psychology Science and Practice · doi:10.1111/cpsp.12073 · Cited by 111 · see citing works
Focusing personality assessment on the person: Modeling general, shared, and person specific processes in personality and psychopathology.
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Repetitive negative thinking in daily life and functional connectivity among default mode, fronto-parietal, and salience networks
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Socially Desirable Responding in Web-Based Questionnaires: A Meta-Analytic Review of the Candor Hypothesis
Gnambs, T., & Kaspar, K. (2016) · Assessment · doi:10.1177/1073191115624547 · Cited by 106 · see citing works
Personal and situational influences on the functions of music listening
Greb, F., Schlotz, W., & Steffens, J. (2017) · Psychology of Music · doi:10.1177/0305735617724883 · Cited by 105 · see citing works
Dynamic networks of PTSD symptoms during conflict
Greene, T., Gelkopf, M., Epskamp, S., & Fried, E. I. (2018) · Psychological Medicine · doi:10.1017/s0033291718000351 · Cited by 106 · see citing works
Physiological reactions to acute stressors and subjective stress during daily life: A systematic review on ecological momentary assessment (EMA) studies
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Ambulatory and diary methods can facilitate the measurement of patient-reported outcomes
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Ecological Momentary Assessment of Affective and Interpersonal Instability in Adolescent Non-Suicidal Self-Injury
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Authors: Trull, T. J., & Ebner-Priemer, U.
Affiliations: University of Missouri (US)
Institute for Sport and Sport Science, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany; Central Institute of Mental Health, 68072 Mannheim, Germany
ORCID: Trull, Timothy J.
Venue: Annual Review of Clinical Psychology
Publisher: Annual Reviews
Published: 2013-03-28
Volume: 9
Issue: 1
Pages: 151-176
ISSN: 1548-5943 (ISSN-L)
1548-5951
DOI: 10.1146/annurev-clinpsy-050212-185510
PMC: PMC4249763
OpenAlex: W4235675284
Cited by: 761
References: 112
Citations by year: 2026: 82 · 2025: 72 · 2024: 67 · 2023: 61 · 2022: 56 · 2021: 77 · 2020: 85 · 2019: 61 · 2018: 52 · 2017: 44 · 2016: 34 · 2015: 37 · 2014: 20 · 2013: 9
FWCI: 3.07
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Annual Review of Clinical Psychology (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: National Institute on Alcohol Abuse and Alcoholism (P60AA011998)
Topics: Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Keywords: ambulatory assessment, ecological validity, self-report, observational assessment, physiological assessment, symptom dynamics, recurrence prediction, treatment monitoring, treatment response prediction, relapse prevention, smartphone technology, gene-environment interaction, research ethics, participant compliance, privacy
MeSH terms: Mental Disorders, Data Collection, Humans, Psychology, Clinical, Monitoring, Ambulatory

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