Collating the voice of people with autoimmune diseases: Methodology for the Third Phase of the COVAD Studies.

Kadam, E.; Javaid, M.; Sen, P.; Saha, S.; Ziade, N.; Day, J.; Wincup, C.; Andreoli, L.; Parodis, I.; Tan, AL.; Shinjo, SK.; Dey, D.; Cavagna, L.; Chatterjee, T.; Knitza, J.; Wang, G.; Dalbeth, N.; Velikova, T.; Battista, S.; Cheng, K.; Boyd, P.; Kobert, L.; Gracia-Ramos, AE.; Mittal, S.; Makol, A.; Gutierrez, CET.; Uribe, CVC.; Kuwana, M.; Burmester, GR.; Guillemin, F.; Nikiphorou, E.; Chinoy, H.; Aggarwal, V.; Gupta, L.

Collating the voice of people with autoimmune diseases: Methodology for the Third Phase of the COVAD Studies.

All Authors

Kadam, E.

Javaid, M.

Sen, P.

Saha, S.

Ziade, N.

Day, J.

Wincup, C.

Andreoli, L.

Parodis, I.

Tan, AL.

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LTHT Author

Tan, Ai Lyn

LTHT Department

NIHR Leeds Biomedical Research Centre

Publication Date

2024

Item Type

Journal Article

Abstract

INTRODUCTION: The growing recognition of holistic patient care highlights the various factors shaping the quality of life of individuals with autoimmune and rheumatic diseases (AIRDs). Beyond the traditional disease measures, there is an emerging acknowledgment of the less-explored aspects, including subjective well-being, social determinants of health, comorbidities, mental health, and medication adherence. Moreover, digital health services have empowered patients to engage actively in decision-making alongside clinicians. To explore these domains within the context of AIRDs, the "Collating the Voice of People with Autoimmune Diseases" COVAD survey was conceived, a successor of the previous two COVAD surveys. In this document, we present the study protocol in comprehensive detail. METHODS: The COVAD-3 survey is a cross-sectional patient self-reported e-survey incorporating multiple widely accepted scales/scores to assess various aspects of patients' lifestyles objectively. To ensure the survey's accuracy and usability across diverse regions, it will be translated into multiple languages and subjected to rigorous vetting and pilot testing. It will be distributed by collaborators via online platforms and data will be collected from patients with AIRDs, and healthy individuals over eight months. Data analysis will focus on outcome measures related to various social, demographic, economic, and psychological factors. CONCLUSION: With the increasing awareness to adopt a holistic treatment approach encompassing all avenues of life, the COVAD-3 survey aims to gain valuable insights into the impact of social, demographic, economic, and psychological determinants of health on the subjective well-being in patients with AIRDs, which will contribute to a better understanding of their overall health and well-being.