The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Neglected topics in chronic pain treatment outcome studies: determination of success
Abstract
Although literature on chronic pain treatment outcome has made substantial strides in improving the quality of the studies reported, there remain a number of factors that lead to qualification of the generally positive results. In the two previous papers in this series a set of migrating factors was discussed, namely, representativeness of the samples treated in these outcome studies, relapse, and non-compliance with therapeutic recommendations. Additional limitations include the lack of agreement on the criteria on which to base evaluation of the success of treatment outcome and the percentage of treated patients included in follow-up data. In this paper, the most common methods for determining success are described (group effects based on standard and quasi-standard outcome measures). The limitations of this approach are discussed and alternative strategies are presented that focus not only on traditional criteria based on group means but on additional criteria including: (a) importance of change (i.e., clinical vs. statistical significance), (b) proportion of patients who improve, (c) cost, (d) efficiency in treatment delivery, (e) and consumer acceptance and satisfaction.
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Citations
Cites
Primary, Secondary, and Meta-Analysis of Research
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“…need to be considered, including (a) the importance of change, (b) the proportion of treated individuals who change, (c) the breadth of change, (d) the efficiency and cost of treatments, and (e) consumer evaluation of treatment (Kazdin and Wilson 1978; Hugdal and Ost 1981; Jacobson et al. 1984).”
BackgroundEfficacy of multidisciplinary pain treatment centers: a meta-analytic review.
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Self-citationTurk, D. C., & Rudy, T. E. (1988) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.56.2.233 · Cited by 407
Self-citationTurk, D. C., & Rudy, T. E. (1991) · Pain · doi:10.1016/0304-3959(91)90142-k · Cited by 311
Self-citationThe utility of cognitive coping strategies for altering pain perception: a meta-analysis
Fernandez, E., & Turk, D. C. (1989) · Pain · doi:10.1016/0304-3959(89)90230-3 · Cited by 290
Self-citationTowards a comprehensive assessment of chronic pain patients
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Self-citationPain and suffering: a reappraisal
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Cited by
Farrar, J. T., Young, J. P., LaMoreaux, L., Werth, J. L., & Poole, M. R. (2001) · Pain · doi:10.1016/s0304-3959(01)00349-9 · Cited by 5,808
Psychological factors in chronic pain: Evolution and revolution
Turk, D. C., & Okifuji, A. (2002) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.70.3.678 · Cited by 1,017
Self-citationBehavioural treatment for chronic low-back pain
Henschke, N., Ostelo, R. W., van Tulder, M. W., Vlaeyen, J. W., Morley, S., Assendelft, W. J., & Main, C. J. (2010) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd002014.pub3 · Cited by 718
A Population-Based, Randomized Clinical Trial on Back Pain Management
Loisel, P., Abenhaim, L., Durand, P., Esdaile, J. M., Suissa, S., Gosselin, L., Simard, R., Turcotte, J., & Lemaire, J. (1997) · Spine · doi:10.1097/00007632-199712150-00014 · Cited by 451
Celestin, J., Edwards, R. R., & Jamison, R. N. (2009) · Pain Medicine · doi:10.1111/j.1526-4637.2009.00632.x · Cited by 368
Metadata
- Authors
- Turk, D. C., Rudy, T. E., & Sorkin, B. A.
- Venue
- Pain
- Published
- 1993-04
- Volume
- 53
- Issue
- 1
- Pages
- 3-16
- ISSN
- 0304-3959 (ISSN-L)
- OpenAlex
- W1980286992
- Cited by
- 242
- References
- 11
- FWCI
- 9.24
- Type
- journal article
- Language
- en
- Open access
- closed
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- Turk, D. C., Rudy, T. E., & Sorkin, B. A. (1993). Neglected topics in chronic pain treatment outcome studies: determination of success. Pain. https://doi.org/10.1016/0304-3959(93)90049-u
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.