The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Use of the experience sampling method in the context of clinical trials
Open accessAbstract
Objective: The experience sampling method (ESM) is a structured diary technique to appraise subjective experiences in daily life. It is applied in psychiatric patients, as well as in patients with somatic illness. Despite the potential of ESM assessment, the improved logistics and its increased administration in research, its use in clinical trials remains limited. This paper introduces ESM for clinical trials in psychiatry and beyond. Methods: ESM is an ecologically valid method that yields a comprehensive view of an individual's daily life. It allows the assessment of various constructs (eg, quality of life, psychopathology) and psychological mechanisms (eg, stress-sensitivity, coping). These constructs are difficult to assess using cross-sectional questionnaires. ESM can be applied in treatment monitoring, as an ecological momentary intervention, in clinical trials, or in single case clinical trials. Technological advances (eg, smartphone applications) make its implementation easier. Results: Advantages of ESM are highlighted and disadvantages are discussed. Furthermore, the ecological nature of ESM data and its consequences are explored, including the potential pitfalls of ambiguously formulated research questions and the specificities of ESM in statistical analyses. The last section focuses on ESM in relation to clinical trials and discusses its future use in optimising clinical decision-making. Conclusions: ESM can be a valuable asset in clinical trial research and should be used more often to study the benefits of treatment in psychiatry and somatic health.
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“mood, stress and fatigue items are adapted from previous digital diaries studies,60”
From Development, evaluation and implementation of a digital behavioural health treatment for chronic pain: study protocol of the multiphase DAHLIA project (2022) · cites this paper as [60]
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“Proposed diary items are based on traditional questionnaires and diary studies,60 and were chosen as they assess relevant aspects in the context of CP.”
From Development, evaluation and implementation of a digital behavioural health treatment for chronic pain: study protocol of the multiphase DAHLIA project (2022) · cites this paper as [60]
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“Generally, items should be short and easily to answer quickly.60”
From Development, evaluation and implementation of a digital behavioural health treatment for chronic pain: study protocol of the multiphase DAHLIA project (2022) · cites this paper as [60]
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Glaesmer, H., Beurs, D. P. D., Rath, D., Spangenberg, L., Hallensleben, N., & Forkmann, T. (2020) · OSF Preprints (OSF Preprints)
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From Facial Expressions to Emotional Health: Deploying Affective Computing in Call Centers
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Metadata
- Authors
- Verhagen, S. J. W., Hasmi, L., Drukker, M., van Os, J., & Delespaul, P. A. E. G.
- Affiliations
- Maastricht University (NL)
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, The Netherlands
- Corresponding author
- Delespaul, Philippe A E G
- Venue
- Evidence Based Mental Health
- Publisher
- BMJ
- Published
- 2016-07-21
- Volume
- 19
- Issue
- 3
- Pages
- 86-89
- ISSN
- 1362-0347 (ISSN-L)
- 1468-960X
- PMC
- PMC5040762
- OpenAlex
- W2502392261
- Cited by
- 208
- References
- 42
- Citations by year
- 2026: 16 · 2025: 30 · 2024: 25 · 2023: 27 · 2022: 27 · 2021: 22 · 2020: 17 · 2019: 23 · 2018: 11 · 2017: 9 · 2016: 1
- FWCI
- 20.88
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Evidence-Based Mental Health (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, cc-by-nc)
- HighWire Press Open Archive (submittedVersion)
- DSpace (Open University in the Netherlands) (submittedVersion, cc-by-nc)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- ecological momentary assessment, clinical trials, everyday experience, treatment monitoring, ecological momentary intervention, mobile application, psychopathology, quality of life, coping, stress sensitivity, clinical decision-making
- MeSH terms
- Clinical Trials as Topic, Humans, Psychiatry, Surveys and Questionnaires, Research Design, Sampling Studies
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