The DOI matches its Crossref record; 111 of the 113 references it cites were found in a registry or an index.
Customization of Pain Treatments: Single-Case Design and Analysis
Abstract
The aim of this paper is to acquaint pain researchers and practitioners with recent developments in the single-case experimental approach and their potential to allow for tailoring the treatment and its evaluation to the specific complaints, aptitudes, or profile of the individual patient, without violating the canons of good science and practice. After contrasting the single-case experimental approach and the case-study approach, we show the possibilities of customization in design, measurement, and test statistics. This is done by distinguishing 2 types of single-case designs--alternation designs and phase designs--and 2 types of replication strategies--simultaneous replications and sequential replications. In addition, tailor-made randomization tests are proposed for alternation, phase, and simultaneous replication designs and the combining of P values to perform a meta-analysis on designs that are sequentially replicated. With our emphasis on: 1) randomization in the design; 2) the possibilities for a statistical test (together with the determination of power and the calculation of effect sizes); 3) the importance of reliable and valid measurement; and 4) the role of replication, we demonstrate how internal validity, statistical-conclusion validity, construct validity, and external validity concerns can be dealt with within a single-case experimental approach framework. Finally, the many research examples and references to clinical work illustrate the usefulness of the approach.
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“SCED studies can provide a clear understanding of change in outcomes and processes at the individual level, and a perspective on therapeutic mechanisms that considerably expands upon findings from RCTs (Onghena & Edgington, 2005;Vlaeyen et al., 2020).”
From Acceptance and Commitment Therapy for women living with Vulvodynia: A single-case experimental design study of a treatment delivered online (2022) · cites this paper as Onghena & Edgington, 2005
In the citing paper
“Compared with RCTs, n-of-1 study designs use repeated measurements to provide a more fine-graded, time-sensitive and context-sensitive picture of individual trajectories and pattern, thus allowing to evaluate effects at the within-person level.23”
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 [23]
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Cited by
Sorted by citations
Kratochwill, T. R., & Levin, J. R. (2010) · Psychological Methods · doi:10.1037/a0017736 · Cited by 497
Vlaeyen, J. W. S., Maher, C. G., Wiech, K., Van Zundert, J., Meloto, C. B., Diatchenko, L., Battié, M. C., Goossens, M., Koes, B., & Linton, S. J. (2018) · Nature Reviews Disease Primers · doi:10.1038/s41572-018-0052-1 · Cited by 497
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Cognitive-Behavioral Treatments for Chronic Pain: What Works for Whom?
Vlaeyen, J. W. S., & Morley, S. (2005) · The Clinical Journal of Pain · doi:10.1097/00002508-200501000-00001 · Cited by 350
“Onghena and Edgington present a current state of the art of the application of randomization tests.(64) Not only have they scrutinized possible applications for randomization tests, but they also provide the possibility to repeat the test over accumulated data sets, similar to meta-analyses performed in systematic rev…”
de Jong, J. R., Vlaeyen, J. W. S., Onghena, P., Cuypers, C., den Hollander, M., & Ruijgrok, J. M. (2005) · Pain · doi:10.1016/j.pain.2005.04.019 · Cited by 289
“Complex regional pain syndrome type I (CRPS-I) is a poorly understood chronic pain disorder with regard to pathophysiology and treatment.”
BackgroundMethodSelf-citation
Metadata
- Authors
- Onghena, P., & Edgington, E. S.
- Affiliations
- KU Leuven (BE)
- University of Calgary (CA)
- Corresponding author
- Onghena, Patrick
- ORCID
- Onghena, Patrick
- Venue
- The Clinical Journal of Pain
- Published
- 2005-01
- Volume
- 21
- Issue
- 1
- Pages
- 56-68
- ISSN
- 0749-8047 (ISSN-L)
- OpenAlex
- W2117635631
- Cited by
- 188
- References
- 113
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 14 · 2023: 10 · 2022: 16 · 2021: 13 · 2020: 13 · 2019: 17 · 2018: 7 · 2017: 12 · 2016: 8 · 2015: 9 · 2014: 5 · 2013: 6 · 2012: 10
- FWCI
- 0.31
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical Journal of Pain (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Musculoskeletal pain and rehabilitation
- Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Opioid Use
- Keywords
- single-case experimental design, pain management, personalized treatment, replication strategies, permutation tests, combining p-values, meta-analysis, internal validity, statistical conclusion validity, construct validity, generalizability, reliability and validity, effect size, power analysis
- MeSH terms
- Data Interpretation, Statistical, Humans, Research Design, Reproducibility of Results, Randomized Controlled Trials as Topic, Pain Management
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