The DOI matches its Crossref record; 117 of the 117 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene
Caspi, A., Sugden, K., Moffitt, T. E., Taylor, A., Craig, I. W., Harrington, H., McClay, J., Mill, J., Martin, J., Braithwaite, A., et al. (2003) · Science · doi:10.1126/science.1083968 · Cited by 8,120
Ecological momentary assessment
Shiffman, S., Stone, A. A., & Hufford, M. R. (2008) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.3.022806.091415 · Cited by 6,454
Prince, S. A., Adamo, K. B., Hamel, M., Hardt, J., Connor Gorber, S., & Tremblay, M. (2008) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-5-56 · Cited by 3,162
A wandering mind is an unhappy mind
Killingsworth, M. A., & Gilbert, D. T. (2010) · Science · doi:10.1126/science.1192439 · Cited by 2,575
Handbook of research methods for studying daily life
Mehl, M. R., Conner, T. S., & Csíkszentmihályi, M. (2012) · Choice Reviews Online · doi:10.5860/choice.50-1159 · Cited by 2,121
Ecological Momentary Assessment (Ema) in Behavioral Medicine
Stone, A. A., & Shiffman, S. (1994) · Annals of Behavioral Medicine · doi:10.1093/abm/16.3.199 · Cited by 1,931
Heron, K. E., & Smyth, J. M. (2010) · British Journal of Health Psychology · doi:10.1348/135910709x466063 · Cited by 1,438
Duncan, L. E., & Keller, M. C. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2011.11020191 · Cited by 1,032
Experience sampling research in psychopathology: opening the black box of daily life
Myin-Germeys, I., Oorschot, M., Collip, D., Lataster, J., Delespaul, P., & van Os, J. (2009) · Psychological Medicine · doi:10.1017/s0033291708004947 · Cited by 817
Patient non-compliance with paper diaries
Stone, A. A., Shiffman, S., Schwartz, J. E., Broderick, J. E., & Hufford, M. R. (2002) · BMJ · doi:10.1136/bmj.324.7347.1193 · Cited by 810
Research works printed but not linked: 12
- Bussmann JBJ, Ebner-Priemer UW. 2011. Ambulatory activity monitoring: assessing activity, posture, and motion patterns in daily life. See Mehl & Conner 2011, pp. 235–50
- Conner TS, Lehman BJ. 2011. Getting started: launching a study in daily life. See Mehl & Conner 2011, pp. 89–107
- Eid M, Courvoisier DS, Lischetzke T. 2011. Structural equation modeling of ambulatory assessment data. See Mehl & Conner 2011, pp. 384–406
- Goodwin MS. 2011. Passive telemetric monitoring: novel methods. See Mehl & Conner 2011, pp. 251–66
- Grassi A, 2007, Annu. Rev. CyberTherapy Telemed., 5, 123
- Mehl MR, Robbins ML. 2011. Naturalistic observation sampling: the Electronically Activated Recorder (EAR). See Mehl & Conner 2011, pp. 176–92
- Portio Res., 2012, Portio Research Mobile Factbook 2012.
- 10.1037//0022-006X.64.2.366 · DOI · Paper page
- Smith A, 2012, 46% of American Adults Are Smartphone Owners.
- Solzbacher S, 2007, Frontiers in Stepped eCare—eHealth Methods in Behavioural and Psychosomatic Medicine, 111
- Wilhelm FH, Grossman P, Mueller M. 2011. Bridging the gap between laboratory and the real word: integrative ambulatory psychophysiology. See Mehl & Conner 2011, pp. 210–34
- Wilhelm P, Perrez M, Pawlik K. 2011. Conducting research in daily life: a historical overview. See Mehl & Conner, pp. 62–86
Cited by
Sorted by citations
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
Teenagers, screens and social media: a narrative review of reviews and key studies
Orben, A. (2020) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-019-01825-4 · Cited by 706
Chmitorz, A., Kunzler, A., Helmreich, I., Tüscher, O., Kalisch, R., Kubiak, T., Wessa, M., & Lieb, K. (2018) · Clinical Psychology Review · doi:10.1016/j.cpr.2017.11.002 · Cited by 663
Subjective Cognitive Decline in Preclinical Alzheimer's Disease
Rabin, L. A., Smart, C. M., & Amariglio, R. E. (2017) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032816-045136 · Cited by 590
Hamaker, E. L., Asparouhov, T., Brose, A., Schmiedek, F., & Muthén, B. (2018) · Multivariate Behavioral Research · doi:10.1080/00273171.2018.1446819 · Cited by 549
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
