5 research outputs found

    Tele-monitoring flares using a smartphone app in patients with gout or suspected gout: a feasibility study

    No full text
    Objectives: Gout flares are painful and disabling. We developed a smartphone application (app) for patients to tele-monitor gout flares surveyed by clinicians. The aim of this study was to assess patient acceptability and technical and clinical feasibility. Methods: Adult patients with either established gout or high suspicion thereof were recruited if they possessed a smartphone and reported a recent arthritis attack. A smartphone application was used to identify gout flares by asking during 90 consecutive days: (1) what is your pain score (0-10); (2) are your joints warm; (3) are your joints swollen; and (4) are you currently experiencing a gout flare? The clinician was alerted via email if a flare occurred. Patient acceptability was assessed using the technology acceptance model. Technical feasibility consisted of reported technical issues and clinical feasibility of actions taken by the clinician regarding gout flare alerts. Results: Twenty-nine included patients completed the study. The mean age of participants was 57 years, and all but one were male. The adherence rate was 96% (110 of 2910 queries were missed). Patients had a positive attitude toward app use, found the app very easy to use (mean usability score 81 out of 100) and were neutral to positive on its usefulness. There were four minor technical issues. A total of 100 gout flare alerts were generated that led to 18 proactive contacts with patients. Conclusion: A smartphone app to monitor gout flares was developed and tested, showing high adherence, good acceptability and clinical feasibility for established gout patients. Trial registration: Netherlands Trial Register, https://www.trialregister.nl, NL6435

    A Delphi Exercise to Identify Characteristic Features of Gout -- Opinions from Patients and Physicians, the First Stage in Developing New Classification Criteria

    Get PDF
    Item does not contain fulltextOBJECTIVE: To identify a comprehensive list of features that might discriminate between gout and other rheumatic musculoskeletal conditions, to be used subsequently for a case-control study to develop and test new classification criteria for gout. METHODS: Two Delphi exercises were conducted using Web-based questionnaires: one with physicians from several countries who had an interest in gout and one with patients from New Zealand who had gout. Physicians rated a list of potentially discriminating features that were identified by literature review and expert opinion, and patients rated a list of features that they generated themselves. Agreement was defined by the RAND/UCLA disagreement index. RESULTS: Forty-four experienced physicians and 9 patients responded to all iterations. For physicians, 71 items were identified by literature review and 15 more were suggested by physicians. The physician survey showed agreement for 26 discriminatory features and 15 as not discriminatory. The patients identified 46 features of gout, for which there was agreement on 25 items as being discriminatory and 7 items as not discriminatory. CONCLUSION: Patients and physicians agreed upon several key features of gout. Physicians emphasized objective findings, imaging, and patterns of symptoms, whereas patients emphasized severity, functional results, and idiographic perception of symptoms

    Gout, Hyperuricaemia and Crystal-Associated Disease Network (G-CAN) consensus statement regarding labels and definitions of disease states of gout

    Get PDF
    There is a lack of standardisation in the terminology used to describe gout. The aim of this project was to develop a consensus statement describing the recommended nomenclature for disease states of gout. A content analysis of gout-related articles from rheumatology and general internal medicine journals published over a 5-year period identified potential disease states and the labels commonly assigned to them. Based on these findings, experts in gout were invited to participate in a Delphi exercise and face-to-face consensus meeting to reach agreement on disease state labels and definitions. The content analysis identified 13 unique disease states and a total of 63 unique labels. The Delphi exercise (n=76 respondents) and face-to-face meeting (n=35 attendees) established consensus agreement for eight disease state labels and definitions. The agreed labels were as follows: 'asymptomatic hyperuricaemia', 'asymptomatic monosodium urate crystal deposition', 'asymptomatic hyperuricaemia with monosodium urate crystal deposition', 'gout', 'tophaceous gout', 'erosive gout', 'first gout flare' and 'recurrent gout flares'. There was consensus agreement that the label 'gout' should be restricted to current or prior clinically evident disease caused by monosodium urate crystal deposition (gout flare, chronic gouty arthritis or subcutaneous tophus). Consensus agreement has been established for the labels and definitions of eight gout disease states, including 'gout' itself. The Gout, Hyperuricaemia and Crystal-Associated Disease Network recommends the use of these labels when describing disease states of gout in research and clinical practice
    corecore