Elsevier

The Journal of Pain

Volume 12, Issue 2, February 2011, Pages 228-235
The Journal of Pain

Original Report
Peak and End Effects in Patients' Daily Recall of Pain and Fatigue: A Within-Subjects Analysis

https://doi.org/10.1016/j.jpain.2010.07.001Get rights and content
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Abstract

Clinical research often relies on retrospective recall of symptom levels, but the information contained in these ratings is not well understood. The “peak-and-end rule” suggests that the most intense (peak) and final (end) moments of an experience disproportionately influence retrospective judgments, which may bias self-reports of somatic symptoms. This study examined the extent to which peak and end symptom levels systematically affect patients' day-to-day recall of pain and fatigue. Rheumatology patients (N = 97) completed 5 to 6 momentary ratings of pain and fatigue per day as well as a daily recall rating of these symptoms for 28 consecutive days. For pain, peak and end momentary ratings predicted daily recall of average pain beyond the actual average of momentary ratings. This effect was small, yet was confirmed in both between-person and within-person (repeated measures) analyses. For fatigue, neither peak nor end momentary symptoms significantly contributed to daily recall. Of note, the evidence for peak- and end-effects in recall of pain and fatigue varied significantly between individual patients. These findings suggest that peak- and end-effects create a small bias in recall reports of pain, but not fatigue. However, there are considerable individual differences in susceptibility to peak and end heuristics.

Perspective

The peak-end cognitive heuristic could bias end-of-day recall of pain and fatigue. An effect was shown for pain, but not for fatigue. The effects were small and were unlikely to substantially bias end-of-day assessments. Individuals were shown to differ in the degree that the heuristic was associated with recall.

Key words

Pain
fatigue
momentary assessment
electronic diaries
patient-reported outcomes
heuristics

Cited by (0)

Supported by grants from the National Institutes of Health (1 U01-AR052170-01; Arthur A. Stone, principal investigator) and (R01 AR054626; Joan E. Broderick, principal investigator); and by GCRC Grant M01-RR10710 from the National Center for Research Resources.