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. 2007 May;129(1-2):55-63.
doi: 10.1016/j.pain.2006.09.031. Epub 2007 Jan 25.

The use of a responder analysis to identify differences in patient outcomes following a self-care intervention to improve cancer pain management

Christine Miaskowski  1 , Marylin Dodd, Claudia West, Steven M Paul, Karen Schumacher, Debu Tripathy, Peter Koo
Affiliations

The use of a responder analysis to identify differences in patient outcomes following a self-care intervention to improve cancer pain management

Christine Miaskowski et al. Pain. 2007 May.

Abstract

Previously, we demonstrated, in a randomized clinical trial, the effectiveness of a psychoeducational intervention to decrease pain intensity scores and increase patients' knowledge of cancer pain management with a sample of oncology patients with pain from bone metastasis. In the present study, we evaluated for changes in mood states (measured using the Profile of Mood States), quality of life (QOL; measured using the Medical Outcomes Study Short Form-36 (SF-36)), and pain's level of interference with function (measured using the Brief Pain Inventory (BPI)) from baseline to the end of the intervention first between the intervention and the standard care groups and then within the intervention group based on the patients' level of response to the intervention (i.e., patients were classified as non-responders, partial responders, or responders). No differences were found in any of these outcome measures between patients in the standard care and intervention groups. However, when patients in the intervention group were categorized using a responder analysis approach, significant differences in the various outcome measures were found among the three respondent groups. Differences in the physical and mental component summary scores on the SF-36 and the interference items on the BPI, among the three respondent groups, were not only statistically significant but also clinically significant. The use of responder analysis in analgesic trials may help to identify unique subgroups of patients and lead to the development of more effective psychoeducational interventions.

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Figures

Figure 1
Figure 1
Figure 1A – Percentage of patients in the PRO-SELF© (n=89) and standard care (n=78) groups who were categorized as a non-responder, partial responder, or responder. Figure 1B - Percentage of patients in the PRO-SELF© (n=89) who were categorized as a non-responder, partial responder, or responder based on their ratings of average and worst pain.
See this image and copyright information in PMC

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