Milena A Gianfrancesco1, Charles E McCulloch2, Laura Trupin3, Jonathan Graf3, Gabriela Schmajuk4, Jinoos Yazdany3. 1. Division of Rheumatology, Department of Medicine, University of California, San Francisco. Electronic address: Milena.Gianfrancesco@ucsf.edu. 2. Department of Epidemiology and Biostatistics, University of California, San Francisco. 3. Division of Rheumatology, Department of Medicine, University of California, San Francisco. 4. Division of Rheumatology, Department of Medicine, University of California, San Francisco; Veterans Affairs Medical Center, San Francisco, CA.
Abstract
PURPOSE: We examined whether weighting techniques could account for longitudinal differences in disease activity by race/ethnicity between research participants and nonparticipants with rheumatoid arthritis (RA). METHODS: We included 377 patients with RA from a public hospital in San Francisco, CA. We estimated the probability of not enrolling in a research study by constructing weights using inverse probability weighting. Disease activity over time by race/ethnicity was analyzed across the entire patient population and among research participants only using multivariable mixed-effects models. RESULTS: There were no differences in RA disease activity scores between research participants and nonparticipants at baseline; however, longitudinal differences in disease activity between research participants and nonparticipants were found by race/ethnicity. Weighting research participants in accordance with sociodemographic and clinical characteristics of the nonparticipant population did not result in any meaningful changes in disease activity by race/ethnicity over time. CONCLUSIONS: In our study of patients with RA, inverse probability weighting using select sociodemographic and clinical variables was not sufficient to account for longitudinal disease activity differences by race/ethnicity between research participants and nonparticipants.
PURPOSE: We examined whether weighting techniques could account for longitudinal differences in disease activity by race/ethnicity between research participants and nonparticipants with rheumatoid arthritis (RA). METHODS: We included 377 patients with RA from a public hospital in San Francisco, CA. We estimated the probability of not enrolling in a research study by constructing weights using inverse probability weighting. Disease activity over time by race/ethnicity was analyzed across the entire patient population and among research participants only using multivariable mixed-effects models. RESULTS: There were no differences in RA disease activity scores between research participants and nonparticipants at baseline; however, longitudinal differences in disease activity between research participants and nonparticipants were found by race/ethnicity. Weighting research participants in accordance with sociodemographic and clinical characteristics of the nonparticipant population did not result in any meaningful changes in disease activity by race/ethnicity over time. CONCLUSIONS: In our study of patients with RA, inverse probability weighting using select sociodemographic and clinical variables was not sufficient to account for longitudinal disease activity differences by race/ethnicity between research participants and nonparticipants.
Authors: Jennifer L Barton; John Imboden; Jonathan Graf; David Glidden; Edward H Yelin; Dean Schillinger Journal: Arthritis Care Res (Hoboken) Date: 2010-06 Impact factor: 4.794
Authors: M Margaretten; J Barton; L Julian; P Katz; L Trupin; C Tonner; J Graf; J Imboden; E Yelin Journal: Arthritis Care Res (Hoboken) Date: 2011-02 Impact factor: 4.794
Authors: Daniel Aletaha; Valerie P K Nell; Tanja Stamm; Martin Uffmann; Stephan Pflugbeil; Klaus Machold; Josef S Smolen Journal: Arthritis Res Ther Date: 2005-04-07 Impact factor: 5.156
Authors: Mary A Garza; Sandra Crouse Quinn; Yan Li; Luciana Assini-Meytin; Erica T Casper; Craig S Fryer; James Butler; Natasha A Brown; Kevin H Kim; Stephen B Thomas Journal: Contemp Clin Trials Commun Date: 2017-05-24