Rheum4U: Development and testing of a web-based tool for improving the quality of care for patients with rheumatoid arthritis

Clin Exp Rheumatol. 2019 May-Jun;37(3):385-392. Epub 2018 Aug 29.

Abstract

Objectives: To develop a web-based tool (Rheum4U) to capture clinically meaningful data to direct treatment. Rheum4U integrates longitudinal clinical data capture of rheumatoid arthritis (RA) disease activity measures and patient-reported outcomes measures (PROMs). This study tests the feasibility, acceptability and efficiency of Rheum4U among patients and healthcare providers.

Methods: Rheum4U was developed in two phases: P1 design and development; and P2 pilot testing. P1: A working group of rheumatologists and researchers (n=13) performed a prioritisation exercise to determine data elements to be included in the platform. The specifications were finalised and supplied to the platform developer. Alpha testing was performed to correct initial software bugs. 18 testers (physicians, nurses and recruited non-patient lay-testers) beta tested Rheum4U for usability. P2: Rheum4U was piloted in 2 rheumatology clinics and evaluated for feasibility, efficiency and acceptability using interviews, observation and questionnaires with patients and healthcare providers.

Results: 110 RA patients, 9 rheumatologists and 9 allied health providers participated in the pilot. Mean patient age was 53 years and 74% were female. The majority (86%) were satisfied or very satisfied with online data entry and 79% preferred it to paper entry. Healthcare providers found Rheum4U easy and clear to use (90%), and they perceived that it improved their job performance (91%). Completeness and easy availability of the patient information improved clinic efficiency.

Conclusions: Rheum4U highlights the benefits of a web-based tool for clinical care, quality improvement and research in the clinic and this study provides valuable information to inform full platform implementation.

MeSH terms

  • Arthritis, Rheumatoid* / therapy
  • Delivery of Health Care / methods*
  • Female
  • Humans
  • Internet*
  • Male
  • Middle Aged
  • Patient Reported Outcome Measures*
  • Quality of Health Care
  • Surveys and Questionnaires