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Pitfalls of Using Patient Recall to Derive Preoperative Status in Outcome Studies of Total Knee Arthroplasty

Investigation performed at Brigham and Women’s Hospital, Boston, Massachusetts
Elizabeth A. Lingard, BPhty, MPhil, MPH
Department of Trauma and Orthopaedic Surgery, The Medical School, University of Newcastle upon Tyne, Newcastle upon Tyne NE2 4HH, United Kingdom. E-mail address: lizlingard{at}aol.com

Elizabeth A. Wright, PhD
Clement B. Sledge, MD
Robert Brigham Multipurpose Arthritis and Musculoskeletal Diseases Center (E.A.W.) and Department of Orthopedic Research (C.B.S.), Brigham and Women’s Hospital, 75 Francis Street, Boston, MA 02115

One or more of the authors has received or will receive benefits for personal or professional use from a commercial party related directly or indirectly to the subject of this article. In addition, benefits have been or will be directed to a research fund, foundation, educational institution, or other nonprofit organization with which one or more of the authors is associated. Funds were received in total or partial support of the research or clinical study presented in this article. The funding sources were Stryker/Howmedica, Rutherford, NJ, and Limerick, Ireland.

Background: It is essential to adjust for the level of preoperative pain and functional status when measuring the outcome of total knee arthroplasty. Some study designs rely on postoperative patient recall to derive preoperative status. In this study, we compared prospectively collected preoperative data with data derived from patient recall of preoperative status three months after total knee arthroplasty.

Methods: Patients were recruited as part of a prospective observational study of the outcome of primary total knee arthroplasty for osteoarthritis at four centers in the United States, six centers in the United Kingdom, and two centers in Australia. Independent research assistants recruited patients and collected data with use of a uniform documentation system preoperatively and three months postoperatively. Preoperative data included the findings of a clinical history and physical examination, demographic information, socioeconomic status, and scores from two health-status instruments: the Western Ontario and McMaster University Osteoarthritis Index (WOMAC) and the Medical Outcomes Study Short Form-36 Health Survey (SF-36). Postoperative data included the WOMAC and SF-36 scores and patient recall of preoperative status on selected items from these health-status measures.

Results: A total of 862 patients were recruited, and recall data were available for 770 patients (89%). The mean age was seventy years (range, thirty-eight to ninety years), and 59% of the patients were women. Comparisons of prospective and recall data on individual pain and function items showed poor-to-fair agreement (weighted kappa, 0.20 to 0.41). Patients recalled significantly more pain than they had reported preoperatively (p < 0.001), but there were random recollection errors for the function items. There was only moderate correlation between the prospective and recalled summary scores for pain (Spearman r = 0.53) and function (Spearman r = 0.48). In addition, 61% of the recalled pain scores and 50% of the recalled function scores differed from the prospective scores by more than 10 points (10% of the total range).

Conclusions: Patients’ recall of preoperative pain and functional status three months after total knee arthroplasty demonstrated only moderate agreement with what the patients had reported prospectively. Researchers who use recall data to derive preoperative status must recognize these limitations when drawing conclusions about the effectiveness of total knee arthroplasty.

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