Can Machine Learning and Patient-reported Outcomes be Used in Remote Care in People With Rheumatic Diseases
Can Machine Learning and Patient-reported Outcomes be Used in Remote Care in People With Rheumatic Diseases
This study is a 24-months, non-inferiority randomized, controlled trial with two parallel arms to determine if a new follow-up strategy for patients with RA is non-inferior in maintaining comprehensive disease control measured as simultaneous maintenance of structural, functional and clinical treatment target at 2-year follow-up compared to the conventional follow-up regimen with regular hospital visits.
The study will include Norwegian adult males and females with rheumatoid arthritis. Eligible patients that consent to participation will be randomized to two groups:
Participants will be followed for 24 months. Primary outcome is proportionn maintaining comprehensive disease control measured as simultaneous maintenance of structural, functional and clinical treatment target at 2-year follow-up1.
We will use a 15% non-inferiority margin.
The study will comprise an internal pilot study the first 6 months for all participants in the intervention group.
The study will also include qualitative research including semi-structured interviews and observations of patients in the intervention group and health professionals involved in the study. The interviews will explore experiences with remote monitoring and video consultations.
Inclusion Criteria:
Exclusion Criteria:
Medical conditions:
Diagnostic assessments:
Other: