Nurse-Led Telehealth for Gout
- Conditions
- Health LiteracyGout ArthritisGout Initiating Urate-loweringUrate-lowering TherapyTelehealthDigital HealthAdherence
- Registration Number
- NCT06971146
- Lead Sponsor
- University of Aarhus
- Brief Summary
The goal of this clinical trial is to test whether a nurse-led telehealth support can help people with gout better manage their condition and stick to their urate-lowering medication after they leave care at a rheumatology clinic.
One group will receive nurse-led telehealth support, while the other group will return to follow-up with their regular doctor (general practitioner). The study includes adults with gout who meet specific medical criteria and are taking medication such as Allopurinol or Adenuric. Participants must also be able to read and write Danish.
The aim is to help patients reach a healthy uric acid level in their blood after 52 weeks. Those in the nurse-led group can choose one of four types of support:
1. App-Based Support - an app gives information and reminders.
2. Letter Reminders - messages are sent through digital or postal mail.
3. Text Reminders - SMS messages are sent every three months.
4. Phone Support - nurses call three times a year to check in. Participants will be recruited from five hospitals in Central Denmark.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 200
- ≥18 years old
- Fulfills ACR/EULAR 2015 Gout Classification Criteria
- Estimated Glomerular Filtration Rate (e-GFR) >30 ml/min
- Prescribed Allopurinol or Adenuric, and achieved two consecutive serum urate levels of two consecutive serum urate levels of ≤0.30 mmol/l for patients with tophi and ≤0.36 mmol/L for patients without tophi
- Have sufficient Danish reading and writing skills to understand information and complete questionnaires.
• Cognitively impaired, unable to understand or provide informed consent.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Primary Outcome Measures
Name Time Method Proportion of participants achieving target serum urate (s-urate) concentration 52 weeks The number and proportion of participants with a serum urate concentration equal to or less than 0.36 mmol/L or 0.30 mmol/L if tophi, at 52 weeks after randomization.
Gout impact 52 weeks Changes in Gout Impact Scale (GIS). GIS is a patient-reported outcome measure assessing the impact of gout on health-related quality of life. The GIS includes domains such as gout concern overall, gout medication side effects, unmet treatment need, well-being during gout attack, and concern during gout attack. Each domain is scored on a 0-100 scale, with higher scores indicating greater impact (worse health status).
Change from baseline to week 52 will be calculated, with negative change scores indicating improvement (i.e., reduced gout impact).
- Secondary Outcome Measures
Name Time Method Quality of life one year after discharge from a rheumatology clinic indicated by EQ-5D-5L. 52 weeks The EQ-5D-5L is a standardized measure of health status developed by the EuroQol Group, covering five dimensions (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression), each with five levels of severity. An index score will be calculated based on country-specific value sets, with scores typically ranging from \<0 (worse than death) to 1 (perfect health). Change from baseline to week 52 will be assessed, with positive changes indicating improvement in health-related quality of life.
Proportion of participants adherent to urate lowering drugs based on CQR-5 52 weeks Adherence to urate lowering drugs will be assessed using the Compliance Questionnaire Rheumatology 5-item version (CQR-5). The CQR-5 is a patient-reported questionnaire specifically developed to measure adherence in patients with rheumatic diseases. Each item is scored on a 4-point Likert scale, and an overall adherence score is calculated. Participants will be classified as adherent if their CQR-5 score is above the predefined threshold for good adherence (e.g., ≥80% predicted probability of adherence based on validated cutoff.)