Leveraging Single-Case Experimental Designs to Promote Personalized Psychological Treatment: Step-by-Step Implementation Protocol with Stakeholder Involvement of an Outpatient Clinic for Personalized Psychotherapy
- PMID: 38467950
- PMCID: PMC11379774
- DOI: 10.1007/s10488-024-01363-5
Leveraging Single-Case Experimental Designs to Promote Personalized Psychological Treatment: Step-by-Step Implementation Protocol with Stakeholder Involvement of an Outpatient Clinic for Personalized Psychotherapy
Abstract
Our objective is to implement a single-case experimental design (SCED) infrastructure in combination with experience-sampling methods (ESM) into the standard diagnostic procedure of a German outpatient research and training clinic. Building on the idea of routine outcome monitoring, the SCED infrastructure introduces intensive longitudinal data collection, individual effectiveness measures, and the opportunity for systematic manipulation to push personalization efforts further. It aims to empower psychotherapists and patients to evaluate their own treatment (idiographic perspective) and to enable researchers to analyze open questions of personalized psychotherapy (nomothetic perspective). Organized around the principles of agile research, we plan to develop, implement, and evaluate the SCED infrastructure in six successive studies with continuous stakeholder involvement: In the project development phase, the business model for the SCED infrastructure is developed that describes its vision in consideration of the context (Study 1). Also, the infrastructure's prototype is specified, encompassing the SCED procedure, ESM protocol, and ESM survey (Study 2 and 3). During the optimization phase, feasibility and acceptability are tested and the infrastructure is adapted accordingly (Study 4). The evaluation phase includes a pilot implementation study to assess implementation outcomes (Study 5), followed by actual implementation using a within-institution A-B design (Study 6). The sustainability phase involves continuous monitoring and improvement. We discuss to what extent the generated data could be used to address current questions of personalized psychotherapy research. Anticipated barriers and limitations during the implementation processes are outlined.
Keywords: Ecological momentary assessment; Experience sampling method; Implementation research; Personalized psychotherapy; Single-case experimental design; Stakeholder involvement.
© 2024. The Author(s).
Conflict of interest statement
The authors have no competing interests to declare that are relevant to the content of this article.
Figures
Similar articles
-
Insights of Patients and Clinicians on the Promise of the Experience Sampling Method for Psychiatric Care.Psychiatr Serv. 2019 Nov 1;70(11):983-991. doi: 10.1176/appi.ps.201900050. Epub 2019 Aug 22. Psychiatr Serv. 2019. PMID: 31434558
-
Opening the contextual black box: a case for idiographic experience sampling of context for clinical applications.Qual Life Res. 2025 Mar;34(3):595-604. doi: 10.1007/s11136-024-03848-0. Epub 2024 Nov 27. Qual Life Res. 2025. PMID: 39602019
-
Randomized controlled trial to evaluate the effects of personalized prediction and adaptation tools on treatment outcome in outpatient psychotherapy: study protocol.BMC Psychiatry. 2017 Aug 24;17(1):306. doi: 10.1186/s12888-017-1464-2. BMC Psychiatry. 2017. PMID: 28836954 Free PMC article.
-
Real-time monitoring technology in single-case experimental design research: Opportunities and challenges.Behav Res Ther. 2019 Jun;117:87-96. doi: 10.1016/j.brat.2018.11.017. Epub 2018 Dec 7. Behav Res Ther. 2019. PMID: 30579623
-
The experience sampling method as an mHealth tool to support self-monitoring, self-insight, and personalized health care in clinical practice.Depress Anxiety. 2017 Jun;34(6):481-493. doi: 10.1002/da.22647. Epub 2017 May 23. Depress Anxiety. 2017. PMID: 28544391 Review.
Cited by
-
How to personalise cognitive-behavioural therapy for chronic primary pain using network analysis: study protocol for a single-case experimental design with multiple baselines.BMJ Open. 2024 Dec 3;14(12):e089319. doi: 10.1136/bmjopen-2024-089319. BMJ Open. 2024. PMID: 39627123 Free PMC article.
-
Treatment Personalization and Precision Mental Health Care: Where are we and where do we want to go?Adm Policy Ment Health. 2024 Sep;51(5):611-616. doi: 10.1007/s10488-024-01407-w. Epub 2024 Aug 22. Adm Policy Ment Health. 2024. PMID: 39172281 Free PMC article. No abstract available.
References
-
- Abelson, J., Li, K., Wilson, G., Shields, K., Schneider, C., & Boesveld, S. (2016). Supporting quality public and patient engagement in health system organizations: Development and usability testing of the Public and Patient Engagement Evaluation Tool. Health Expectations,19(4), 817–827. 10.1111/hex.12378 10.1111/hex.12378 - DOI - PMC - PubMed
-
- Aldao, A., Sheppes, G., & Gross, J. J. (2015). Emotion regulation flexibility. Cognitive Therapy and Research,39(3), 263–278. 10.1007/s10608-014-9662-4 10.1007/s10608-014-9662-4 - DOI
-
- Allport, G. W. (1937). Personality: A psychological interpretation (pp. xiv, 588). Holt.
MeSH terms
LinkOut - more resources
Full Text Sources