Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55715, first published .
Exploring the Potential of Electronic Patient-Generated Health Data for Evaluating Treatment Response to Intramuscular Steroids in Rheumatoid Arthritis: Case Series

Exploring the Potential of Electronic Patient-Generated Health Data for Evaluating Treatment Response to Intramuscular Steroids in Rheumatoid Arthritis: Case Series

Exploring the Potential of Electronic Patient-Generated Health Data for Evaluating Treatment Response to Intramuscular Steroids in Rheumatoid Arthritis: Case Series

Mariam Al-Attar   1, 2 , MBChB, MRCP ;   Kesmanee Assawamartbunlue   3 , BSc ;   Julie Gandrup   1 , MD, PhD ;   Sabine N van der Veer   2 , PhD ;   William G Dixon   1, 2, 4 , MBBS, MRCP, PhD

1 Centre for Epidemiology Versus Arthritis, University of Manchester, Manchester, United Kingdom

2 Centre for Health Informatics, Division of Informatics, Imaging and Data Science, Manchester Academic Health Science Centre, University of Manchester, Manchester, United Kingdom

3 School of Medical Sciences, University of Manchester, Manchester, United Kingdom

4 Rheumatology Department, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, United Kingdom

Corresponding Author:

  • Mariam Al-Attar, MBChB, MRCP
  • Centre for Health Informatics, Division of Informatics, Imaging and Data Science
  • Manchester Academic Health Science Centre
  • University of Manchester
  • Oxford Road
  • Manchester, M13 9GB
  • United Kingdom
  • Phone: 44 161 306 7876
  • Email: mariam.al-attar@manchester.ac.uk