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Volume 11, Issue 6, Pages 522-527 (June 2010)


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Comparison of Pain Measures Among Patients With Osteoarthritis

Kelli D. AllenCorresponding Author Informationemail address, Cynthia J. Coffman§, Yvonne M. Golightly, Karen M. Stechuchak, Corrine I. Voils, Francis J. Keefe

Received 3 June 2009; received in revised form 20 August 2009; accepted 9 September 2009. published online 22 January 2010.

Abstract 

This study compared recalled average pain, assessed at the end of the day, with the average of real-time pain ratings recorded throughout the day among patients with osteoarthritis (OA). Participants (N = 157) with hand, hip, or knee OA completed electronic pain diaries on 1 weekend day and 1 weekday. Diaries included at least 7 pain ratings per day, immediately after waking and every 2 hours following, using a visual analog scale (VAS) scored as 1 to 100 (scores not seen by participants). At the end of each diary day, participants rated their average pain that day on the same VAS. Pearson correlations examined associations between recalled average pain and the average of real-time pain ratings that day. Mixed models, including interaction terms, examined whether associations between recalled and actual average pain ratings differed according to the following patient characteristics: joint site, age, race, gender, study enrollment site, and pain catastrophizing. Correlations between recalled and actual average pain ratings were r = .88 for weekdays and r = .86 for weekends (P < .0001). In mixed models, there were no significant interaction terms for any patient characteristics. In summary, patients with OA accurately recalled their average pain over a 1-day period, and this did not differ according to any patient characteristics examined.

Perspective

This study showed that patients with OA accurately recalled their average pain over a single-day period, and this did not differ according to patient characteristics. Results of this study indicate that end-of-day recall is a practical and valid method for assessing patients' average pain during a day.

 Health Services Research and Development Service, Durham VA Medical Center, Durham, North Carolina

 Department of Medicine, Duke University Medical Center, Durham, North Carolina

 Center for Aging and Human Development, Duke University, Durham, North Carolina

 Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina

§ Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina

Corresponding Author InformationAddress reprint requests to Kelli D. Allen, PhD, HSRD (152), VA Medical Center, 508 Fulton Street, Durham, NC 27705.

 Supported by a Health Professional New Investigator grant from the American College of Rheumatology Research and Education Foundation.

PII: S1526-5900(09)00721-4

doi:10.1016/j.jpain.2009.09.007


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