Literature DB >> 33687333

Remote Measurement in Rheumatoid Arthritis: Qualitative Analysis of Patient Perspectives.

Katie M White1, Alina Ivan1, Ruth Williams2, James B Galloway3, Sam Norton3,4, Faith Matcham1.   

Abstract

BACKGROUND: Rheumatoid arthritis (RA) is characterized by recurrent fluctuations in symptoms such as joint pain, swelling, and stiffness. Remote measurement technologies (RMTs) offer the opportunity to track symptoms continuously and in real time; therefore, they may provide a more accurate picture of RA disease activity as a complement to prescheduled general practitioner appointments. Previous research has shown patient interest in remote symptom tracking in RA and has provided evidence for its clinical validity. However, there is a lack of co-design in the current development of systems, and the features of RMTs that best promote optimal engagement remain unclear.
OBJECTIVE: This study represents the first in a series of work that aims to develop a multiparametric RMT system for symptom tracking in RA. The objective of this study is to determine the important outcomes for disease management in patients with RA and how these can be best captured via remote measurement.
METHODS: A total of 9 patients (aged 23-77 years; mean 55.78, SD 17.54) with RA were recruited from King's College Hospital to participate in two semistructured focus groups. Both focus group discussions were conducted by a facilitator and a lived-experience researcher. The sessions were recorded, transcribed, independently coded, and analyzed for themes.
RESULTS: Thematic analysis identified a total of four overarching themes: important symptoms and outcomes in RA, management of RA symptoms, views on the current health care system, and views on the use of RMTs in RA. Mobility and pain were key symptoms to consider for symptom tracking as well as symptom triggers. There is a general consensus that the ability to track fluctuations and transmit such data to clinicians would aid in individual symptom management and the effectiveness of clinical care. Suggestions for visually capturing symptom fluctuations in an app were proposed.
CONCLUSIONS: The findings support previous work on the acceptability of RMT with RA disease management and address key outcomes for integration into a remote monitoring system for RA self-management and clinical care. Clear recommendations for RMT design are proposed. Future work will aim to take these recommendations into a user testing phase. ©Katie M White, Alina Ivan, Ruth Williams, James B Galloway, Sam Norton, Faith Matcham. Originally published in JMIR Formative Research (http://formative.jmir.org), 09.03.2021.

Entities:  

Keywords:  disease management; mobile phone; qualitative research; remote measurement technologies; rheumatoid arthritis; smartphone; symptom assessment

Year:  2021        PMID: 33687333      PMCID: PMC7988394          DOI: 10.2196/22473

Source DB:  PubMed          Journal:  JMIR Form Res        ISSN: 2561-326X


  24 in total

1.  2010 Rheumatoid arthritis classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative.

Authors:  Daniel Aletaha; Tuhina Neogi; Alan J Silman; Julia Funovits; David T Felson; Clifton O Bingham; Neal S Birnbaum; Gerd R Burmester; Vivian P Bykerk; Marc D Cohen; Bernard Combe; Karen H Costenbader; Maxime Dougados; Paul Emery; Gianfranco Ferraccioli; Johanna M W Hazes; Kathryn Hobbs; Tom W J Huizinga; Arthur Kavanaugh; Jonathan Kay; Tore K Kvien; Timothy Laing; Philip Mease; Henri A Ménard; Larry W Moreland; Raymond L Naden; Theodore Pincus; Josef S Smolen; Ewa Stanislawska-Biernat; Deborah Symmons; Paul P Tak; Katherine S Upchurch; Jirí Vencovský; Frederick Wolfe; Gillian Hawker
Journal:  Arthritis Rheum       Date:  2010-09

2.  Toward Electronic Health Recording: Evaluation of Electronic Patient-reported Outcome Measures System for Remote Monitoring of Early Rheumatoid Arthritis.

Authors:  Yasser El Miedany; Maha El Gaafary; Sally Youssef; Sami Bahlas; Samah Almedany; Ihab Ahmed; Deborah Palmer
Journal:  J Rheumatol       Date:  2016-09-15       Impact factor: 4.666

3.  Self-assessment tool of disease activity of rheumatoid arthritis by using a smartphone application.

Authors:  Shu Nishiguchi; Hiromu Ito; Minoru Yamada; Hiroyuki Yoshitomi; Moritoshi Furu; Tatsuaki Ito; Akio Shinohara; Tetsuya Ura; Kazuya Okamoto; Tomoki Aoyama
Journal:  Telemed J E Health       Date:  2014-01-03       Impact factor: 3.536

4.  Mobile apps, wearables and the future of technology in rheumatic disease care.

Authors:  Faith Matcham; Matthew Hotopf; James Galloway
Journal:  Rheumatology (Oxford)       Date:  2019-07-01       Impact factor: 7.580

5.  Self-assessment of Rheumatoid Arthritis Disease Activity Using a Smartphone Application. Development and 3-month Feasibility Study.

Authors:  S Nishiguchi; H Ito; M Yamada; H Yoshitomi; M Furu; T Ito; A Shinohara; T Ura; K Okamoto; T Aoyama; Tadao Tsuboyama
Journal:  Methods Inf Med       Date:  2015-09-22       Impact factor: 2.176

6.  Mobile Apps for Individuals With Rheumatoid Arthritis: A Systematic Review.

Authors:  Dee Luo; Penny Wang; Fengxin Lu; Josephine Elias; Jeffrey A Sparks; Yvonne C Lee
Journal:  J Clin Rheumatol       Date:  2019-04       Impact factor: 3.517

Review 7.  The prevalence of depression in rheumatoid arthritis: a systematic review and meta-analysis.

Authors:  Faith Matcham; Lauren Rayner; Sophia Steer; Matthew Hotopf
Journal:  Rheumatology (Oxford)       Date:  2013-09-03       Impact factor: 7.580

8.  Using a ResearchKit Smartphone App to Collect Rheumatoid Arthritis Symptoms From Real-World Participants: Feasibility Study.

Authors:  Michelle Crouthamel; Emilia Quattrocchi; Sarah Watts; Sherry Wang; Pamela Berry; Luis Garcia-Gancedo; Valentin Hamy; Rachel E Williams
Journal:  JMIR Mhealth Uhealth       Date:  2018-09-13       Impact factor: 4.773

9.  The Wearable Co-Design Domino: A User-Centered Methodology to Co-Design and Co-Evaluate Wearables.

Authors:  Leire Francés Morcillo; Paz Morer-Camo; María Isabel Rodriguez Ferradas; Aitor Cazón Martín
Journal:  Sensors (Basel)       Date:  2020-05-21       Impact factor: 3.576

Review 10.  The impact of rheumatoid arthritis on quality-of-life assessed using the SF-36: a systematic review and meta-analysis.

Authors:  Faith Matcham; Ian C Scott; Lauren Rayner; Matthew Hotopf; Gabrielle H Kingsley; Sam Norton; David L Scott; Sophia Steer
Journal:  Semin Arthritis Rheum       Date:  2014-05-29       Impact factor: 5.532

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  1 in total

Review 1.  A systematic review of engagement reporting in remote measurement studies for health symptom tracking.

Authors:  Katie M White; Charlotte Williamson; Nicol Bergou; Carolin Oetzmann; Valeria de Angel; Faith Matcham; Claire Henderson; Matthew Hotopf
Journal:  NPJ Digit Med       Date:  2022-06-29
  1 in total

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