| Literature DB >> 27933206 |
Piet van Riel1, Rieke Alten2, Bernard Combe3, Diana Abdulganieva4, Paola Bousquet5, Molly Courtenay6, Cinzia Curiale7, Antonio Gómez-Centeno8, Glenn Haugeberg9, Burkhard Leeb10, Kari Puolakka11, Angelo Ravelli12, Bernhard Rintelen13, Piercarlo Sarzi-Puttini14.
Abstract
Treating to target by monitoring disease activity and adjusting therapy to attain remission or low disease activity has been shown to lead to improved outcomes in chronic rheumatic diseases such as rheumatoid arthritis and spondyloarthritis. Patient-reported outcomes, used in conjunction with clinical measures, add an important perspective of disease activity as perceived by the patient. Several validated PROs are available for inflammatory arthritis, and advances in electronic patient monitoring tools are helping patients with chronic diseases to self-monitor and assess their symptoms and health. Frequent patient monitoring could potentially lead to the early identification of disease flares or adverse events, early intervention for patients who may require treatment adaptation, and possibly reduced appointment frequency for those with stable disease. A literature search was conducted to evaluate the potential role of patient self-monitoring and innovative monitoring of tools in optimising disease control in inflammatory arthritis. Experience from the treatment of congestive heart failure, diabetes and hypertension shows improved outcomes with remote electronic self-monitoring by patients. In inflammatory arthritis, electronic self-monitoring has been shown to be feasible in patients despite manual disability and to be acceptable to older patients. Patients' self-assessment of disease activity using such methods correlates well with disease activity assessed by rheumatologists. This review also describes several remote monitoring tools that are being developed and used in inflammatory arthritis, offering the potential to improve disease management and reduce pressure on specialists.Entities:
Keywords: Disease Activity; Patient perspective; Rheumatoid Arthritis
Year: 2016 PMID: 27933206 PMCID: PMC5133416 DOI: 10.1136/rmdopen-2016-000302
Source DB: PubMed Journal: RMD Open ISSN: 2056-5933
Figure 1Literature search methodology and results flow diagram. ACR, American College of Rheumatology; EULAR, European League Against Rheumatism.
Summary of evidence of impact of remote patient monitoring tools on patient outcomes across various disease areas
| Disease area | Participants | Intervention | Follow-up | Outcome |
|---|---|---|---|---|
| Cardiology/congestive heart failure | 99 patients receiving cardiac resynchronisation therapy | Daily remote monitoring (RM) vs standard programme of in-office visits | 7 months | Rate of detection of clinical adverse events was 23.8% in the RM group vs 48.7%; HR 0.14 (95% CI 0.06 to 0.37) |
| Diabetes | 301 patients with type 2 diabetes | Automated telemonitoring, clinician notification and informal caregiver involvement | 3–6 months | Significant improvements over time in long-term medication non-adherence, physical functioning, depressive symptoms and diabetes-related distress (all p<0.001). Significant improvements in patient-reported frequency of weekly medication adherence, self-monitored blood glucose (SMBG) performance, checking feet and abnormal SMBG readings |
| Hypertension | 778 patients taking antihypertensive drugs | Usual care vs usual care with home blood pressure monitor (BPM) vs web-based pharmacist care with home BPM | 12 months | 55% of patients in the pharmacist-care group vs 37% in the usual care with home BPM group had BP <140/90 mm Hg. Home BPM accounted for 30.3% of the intervention effect, secure electronic messaging for 96%, and medication intensification for 29.3% |
Some examples of remote monitoring tools available for inflammatory arthritis, based on authors' experience
| Tool | Disease | PROs/disease activity measures available | Platform | Automatic alerts for healthcare professionals | Patient's ability to view results | Data security |
|---|---|---|---|---|---|---|
| iMonitor( | RA | BASFI | PC | ✓ | ✓ | ✓ |
| GoTreatIT ( | RA | DAS | PC | ✓ | ✓ | ✓ |
| Sanoïa ( | RA | HAQ | PC | ✓ | ✓ | ✓ |
| Andar ( | RA | RAPID3 | PC | ✓ | ✓ | ✓ |
AS, ankylosing spondylitis; ASAS HI, Assessment of SpondyloArthritis international Society Health Index; ASAS NSAID, Assessment of SpondyloArthritis international Society Nonsteroidal Anti-inflammatory Drug; ASAS QoL, Assessment of SpondyloArthritis international Society Quality of Life; ASDAS, Ankylosing Spondylitis Disease Activity Score; Axial SpA, spondyloarthritis; BASFI, Bath Ankylosing Spondylitis Functional Index; BASG, Bath Ankylosing Spondylitis Global assessment; HAQ, Health Assessment Questionnaire; MDHAQ, Multidimensional Health Assessment Questionnaire; MHAQ, Modified Health Assessment Questionnaire; PROMIS20, Patient-Reported Outcomes Measurement Information System20; Pt-DAS28, Patient Derived Disease Activity Score28; QUEST RA, Quantitative Patient Questionnaires in Standard Monitoring of Patients with Rheumatoid Arthritis; RA, rheumatoid arthritis; RAID, Rheumatoid Arthritis Impact of Disease; PROs, patient-reported outcomes; PsA, psoriatic arthritis; VAS, Visual Analog Scale.