Rheumatoid arthritis (RA) patients in two age ranges who were receiving care at a clinic in Philadelphia are included. Variables include age and sex, several indicators of disease activity and whether or not patients were administered selected common treatments for RA. The dataset is suitable for simple data description, chi-square tests, unpaired t-tests, and Mann-Whitney U tests. Several variables are non-normally distributed and one is approximately normally distributed. There is extensive missing data. Importantly, for two variables, CDAI and DAS-28, missing data is informative as it indicates true non-receipt of these tests and is a focus of the comparisons of the younger and older age groups.
|Two Sample Tests
The Arthritis Treatment dataset was contributed by Dr. Edward Gracely, Associate Professor, Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University. Please refer to this resource as: Edward Gracely, “Arthritis Treatment Dataset”, TSHS Resources Portal (2020). Available at https://www.causeweb.org/tshs/arthritis-treatment/.
With the availability of effective anti-RA agents, disease activity measurements can inform the specification of treatment and are part of an approach known as “treat to target”. In this study, the authors sought to explore age differences in both disease activity measurement and treatment. Of interest was the possibility that elderly patients might be less likely to have their disease activity measured and less likely to receive aggressive treatment.
The authors hypothesized that rheumatologists are less likely to measure disease activity in elderly patients and less likely to treat them to minimal disease activity.
Subjects & Variables
|Arthritis Treatment Dataset Introduction
|Arthritis Treatment Data Dictionary
|Edward Gracely (email@example.com)
last updated on 6/2/2020