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Ambulatory Assessment
Open accessAbstract
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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“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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Metadata
- 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
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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