Magnitude and meaningfulness of change in SF-36 scores in four types of orthopedic surgery
Lucy Busija, Richard H Osborne, Anna Nilsdotter, Rachelle Buchbinder, Ewa M Roos
HEALTH AND QUALITY OF LIFE OUTCOMES | BMC | Published : 2008
BACKGROUND: The Medical Outcomes General Health Survey (SF-36) is a widely used health status measure; however, limited evidence is available for its performance in orthopedic settings. The aim of this study was to examine the magnitude and meaningfulness of change and sensitivity of SF-36 subscales following orthopedic surgery. METHODS: Longitudinal data on outcomes of total hip replacement (THR, n = 255), total knee replacement (TKR, n = 103), arthroscopic partial meniscectomy (APM, n = 74) and anterior cruciate ligament reconstruction (ACL, n = 62) were used to estimate the effect sizes (ES, magnitude of change) and minimal detectable change (sensitivity) at the group and individual level..View full abstract
Lucy Busija's work was supported by a University of Melbourne Postgraduate Research Scholarship and a Universitas 21 Solander Travel Scholarship.Richard H Osborne was supported in part by an Australian National Health and Medical Research Council (NHMRC) Population Health Career Development Award, a Universitas 21 Solander Travel Fellowship, and a Bone and Joint Decade Fellowship.Anna Nilsdotter's work was supported by Halmstad Central Hospital.Rachelle Buchbinder was supported in part by an Australian NHMRC Practitioner Fellowship.Ewa M Roos' work was supported by The Swedish Research Council, the Swedish Rheumatism Association, the Faculty of Medicine Lund University, and Region Skane.We would like to thank the steering group of the KANON-study for generously allowing the use of data from the KANON-study.The KANON study was funded by Pfizer Global Research, Thelma Zoegas fund, Stig & Ragna Gorthon research foundation, The Swedish National Centre for Research in Sports, The Swedish Research Council, the Medical Faculty Lund University (ALF) and Region Skane.We wish to thank Professor Peter Fayers, Department of Public Health, the University of Aberdeen, for his practical and insightful statistical advice.