アブストラクト | PURPOSE: To quantify misclassification in glucocorticoid (GC) exposure defined using UK primary care prescription data. METHODS: A cross-sectional study including patients with rheumatoid arthritis prescribed oral GCs in the past 2 years. Glucocorticoid exposure based on electronic prescription records was compared with participant-reported GC use captured using a paper diary. Prescription data (containing information about prescriptions issued but no dispensing information) was provided by the Clinical Practice Research Datalink. The following variables were defined: current use and dose of oral GCs and if (and when) participants had received a GC injection. For oral GCs, self-reported use was taken to represent "true" exposure. A dataset representing a hypothetical population was generated to assess the impact of the misclassification found for current use. RESULTS: A total of 67 of 78 study participants (86%) were correctly classified as currently on/off oral GCs; 32/38 (84.2%) participants reporting current GC use and 35/40 (87.5%) participants not reporting current use were correctly classified. Estimated values of current dose were imprecise (correlation coefficient 0.46). Concordance between reported and prescribed GC injections was poor (kappa statistic 0.14). Misclassification bias was demonstrated in the hypothetical population: For "true" relative risks of 1.5, 4, and 9, the "observed" relative risks were 1.33, 2.48, and 3.58, respectively. CONCLUSIONS: Misclassification of current use of oral GCs was low but sufficient to lead to significant bias. Researchers should take care to assess the likely impact of exposure misclassification on their analyses. |
組織名 | Arthritis Research UK Centre for Epidemiology, Centre for Musculoskeletal;Research, School of Biological Sciences, Manchester Academic Health Science;Centre, The University of Manchester, Manchester, UK.;Health eResearch Centre, Centre for Health Informatics, School of Health;Sciences, Manchester Academic Health Science Centre, The University of;Manchester, Manchester, UK.;Faculty of Science, Division of Pharmacoepidemiology and Clinical Pharmacology,;Utrecht University, Utrecht, The Netherlands.;Department of Epidemiology, Biostatistics & Occupational Health, McGill;University, Montreal, Canada.;NIHR Manchester Biomedical Research Centre, Central Manchester University;Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre,;Manchester, UK.;Rheumatology Department, Salford Royal NHS Foundation Trust, Salford, UK. |