Advertisement
Original Report| Volume 12, ISSUE 2, P228-235, February 2011

Download started.

Ok

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

Published:September 06, 2010DOI:https://doi.org/10.1016/j.jpain.2010.07.001

      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

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to The Journal of Pain
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Broderick J.E.
        • Schwartz J.E.
        • Schneider S.
        • Stone A.A.
        Can end-of-day reports replace momentary assessment of pain and fatigue?.
        J Pain. 2009; 10: 274-281
        • Broderick J.E.
        • Schwartz J.E.
        • Vikingstad G.
        • Pribbernow M.
        • Grossman S.
        • Stone A.A.
        The accuracy of pain and fatigue items across different reporting periods.
        Pain. 2008; 139: 146-157
        • Daut R.L.
        • Cleeland C.S.
        The prevalence and severity of pain in cancer.
        Cancer. 1982; 50: 1913-1918
        • Epstein S.
        • Pacini R.
        • Denes-Raj V.
        • Heier H.
        Individual differences in intuitive-experiential and analytical-rational thinking styles.
        J Pers Soc Psychol. 1996; 71: 390-405
        • Evans E.J.
        • Wickstrom B.
        Subjective fatigue and self-care in individuals with chronic illness.
        Medsurg Nurs. 1999; 8: 363-369
        • Gendreau M.
        • Hufford M.R.
        • Stone A.A.
        Measuring clinical pain in chronic widespread pain: Selected methodological issues.
        Best Pract Res Clin Rheumatol. 2003; 17: 575-592
        • Jensen M.P.
        • Mardekian J.
        • Lakshminarayanan M.
        • Boye M.E.
        Validity of 24-h recall ratings of pain severity: Biasing effects of “peak” and “end” pain.
        Pain. 2008; 137: 422-427
        • Jensen M.P.
        • Turner L.R.
        • Turner J.A.
        • Romano J.M.
        The use of multiple-item scales for pain intensity measurement in chronic pain patients.
        Pain. 1996; 67: 35-40
        • Kahneman D.
        • Fredrickson B.L.
        • Schreiber C.A.
        • Redelmeier D.A.
        When more pain is preferred to less: Adding a better end.
        Psychol Sci. 1993; 4: 401-405
        • Kreft I.G.G.
        • de Leeuw J.
        • Aiken L.S.
        The effect of different forms of centering in hierarchical linear models.
        Multivariate Behav Res. 1995; 30: 1-21
        • Lambert P.C.
        • Burton P.R.
        • Abrams K.R.
        • Brooke A.M.
        The analysis of peak expiratory flow data using a three-level hierarchical model.
        Stat Med. 2004; 23: 3821-3839
        • Mendoza T.R.
        • Wang X.S.
        • Cleeland C.S.
        • Morrissey M.
        • Johnson B.A.
        • Wendt J.K.
        • Huber S.L.
        The rapid assessment of fatigue severity in cancer patients: Use of the Brief Fatigue Inventory.
        Cancer. 1999; 85: 1186-1196
        • Miron-Shatz T.
        Evaluating multiepisode events: Boundary conditions for the peak-end rule.
        Emotion. 2009; 9: 206-213
        • Redelmeier D.A.
        • Kahneman D.
        Patients' memories of painful medical treatments: Real-time and retrospective evaluations of two minimally invasive procedures.
        Pain. 1996; 66: 3-8
        • Redelmeier D.A.
        • Katz J.
        • Kahneman D.
        Memories of colonoscopy: A randomized trial.
        Pain. 2003; 104: 187-194
        • Schafer J.L.
        • Graham J.W.
        Missing data: Our view of the state of the art.
        Psychol Methods. 2002; 7: 147-177
        • Schwartz J.E.
        • Stone A.A.
        The analysis of real-time momentary data: A practical guide.
        in: Stone A.A. Shiffman S. Atienza A.A. Nebeling L. The Science of Real-Time Data Capture: Self-Reports In Health Research, 1st ed. Oxford University Press, New York, NY2007: 76-116
        • Smith S.M.
        • Levin I.P.
        Need for cognition and choice framing effects.
        J Behav Decis Mak. 1996; 9: 283-290
        • Stone A.A.
        • Broderick J.E.
        • Kaell A.T.
        • DelesPaul P.A.
        • Porter L.E.
        Does the peak-end phenomenon observed in laboratory pain studies apply to real-world pain in rheumatoid arthritis?.
        J Pain. 2000; 1: 212-217
        • Stone A.A.
        • Broderick J.E.
        • Porter L.S.
        • Kaell A.T.
        The experience of rheumatoid arthritis pain and fatigue: Examining momentary reports and correlates over one week.
        Arthritis Care Res. 1997; 10: 185-193
        • Stone A.A.
        • Schwartz J.E.
        • Broderick J.E.
        • Shiffman S.S.
        Variability of momentary pain predicts recall of weekly pain: A consequence of the peak (or salience) memory heuristic.
        Pers Soc Psychol Bull. 2005; 31: 1340-1346
        • Stone A.A.
        • Shiffman S.
        Ecological momentary assessment (EMA) in behavorial medicine.
        Ann Behav Med. 1994; 16: 199-202
        • Thiébaut R.
        • Jacqmin-Gadda H.
        • Chêne G.
        • Leport C.
        • Commenges D.
        Bivariate linear mixed models using SAS proc MIXED.
        Comput Methods Programs Biomed. 2002; 69: 249-256
      1. U.S. Department of Health and Human Services Food and Drug Administration: Guidance for industry: Patient-reported outcome measures: Use in medical product development to support labeling claims. Available at http://www.fda.gov Accessed March 22, 2010

        • Wolfe F.
        • Hawley D.J.
        • Wilson K.
        The prevalence and meaning of fatigue in rheumatic disease.
        J Rheumatol. 1996; 23: 1407-1417
        • Zautra A.J.
        • Fasman R.
        • Parish B.P.
        • Davis M.C.
        Daily fatigue in women with osteoarthritis, rheumatoid arthritis, and fibromyalgia.
        Pain. 2007; 128: 128-135