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Abstract Number: 3153

Automated Cell Phone Monitoring of Disease Activity and Medication Adherence in Early Rheumatoid Arthritis

Laura Kuusalo1,2, Hannu Kautiainen3, Tuulikki Sokka-Isler4, Toini Uutela5, Laura Pirilä2, Timo Yli-Kerttula6, Markku J Kauppi7,8, Tuomas Rannio9, Kirsi Paalanen10, Arto Kokko9, Juha Asikainen9, Jelena Borodina10, Johanna Paltta2, Kari Laiho11, Andrus Mullanmaa12, Kari Puolakka12 and SandRA Study Group, 1University of Turku, Turku, Finland, 2Turku University Hospital, Turku, Finland, 3Unit of Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland, 4Rheumatology, Jyvaskyla Central Hospital, Jyvaskyla, Finland, 5Lapland Central Hospital, Rovaniemi, Finland, 6Sairaalantie 3, Satakunta Central Hospital, Rauma, Finland, 7School of Medicine, University of Tampere, Tampere, Finland, 8Department of Rheumatology, Päijät-Häme Central Hospital, Lahti, Finland, 9Jyvaskyla Central Hospital, Jyväskylä, Finland, 10Jyvaskyla Central Hospital, Jyvaskyla, Finland, 11Päijät-Häme Central Hospital, Lahti, Finland, 12South Karelia Central Hospital, Lappeenranta, Finland

Meeting: ACR/ARHP Annual Meeting 2016

Date of first publication: September 28, 2016

Keywords: access to care and remission, Clinical Response, Compliance, Early Rheumatoid Arthritis

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Session Information

Date: Wednesday, November 16, 2016

Title: Rheumatoid Arthritis – Clinical Aspects VI: Management of Early Rheumatoid Arthritis

Session Type: ACR Concurrent Abstract Session

Session Time: 9:00AM-10:30AM

Background/Purpose: Remission targeted treatment of early RA requires frequent monitoring. However, in clinical practice monitoring frequency is not always optimal due to factors like limited resources. Therefore, to ensure successful initiation of anti-rheumatic therapy and adherence to treatment during the crucial 6 months after the diagnosis, we have developed an automated text message (SMS) based monitoring system for early RA called SandRA. Here we present the results of a randomized study comparing SMS-based follow-up to routine care.

Methods: We randomized 166 patients with early, untreated RA fulfilling the EULAR 2010 classification criteria to intensive SandRA-based follow-up (visits at 0, 3, and 6 months and 13 SMSs at 1–2 week intervals) and to routine follow-up (visits at 0, 3, and 6 months) in 2014–2015. The SandRA software sent questions about medication use, adverse effects, and disease activity (patient global assessment [scale 0–10]). Treatment was administered at the physician’s discretion. The SandRA follow-up aimed to improve medication adherence and to identify early the patients responding poorly to treatment. If responses suggested medication problems or insufficient reduction in disease activity, the system alarmed and the patient was contacted. The primary outcome was a strict Boolean remission at 6 months, defined as no tender or swollen joints (46 joint count), and normal CRP.

Results: Follow-up data at 6 months were available for 162 patients. The randomization groups were nearly identical at baseline (Table 1).  All patients started intensive therapy; 96% started MTX, and 89% started a combination of 2–3 conventional DMARDs. At 6 months, 62% of patients in the intervention, and 53% in the control group were in remission (p=0.34). DAS28 levels decreased similarly, 2.18 in the intervention group, and 2.21 in the control group (p=0.18). Alarms from SandRA increased the number of nurses telephone contacts in the intervention group (p=0.027 for scheduled calls; p<0.001 for non-scheduled calls). No differences were observed for other visit types. Of the patients in the intervention group, 94% found the monitoring messages easy to answer, >80% felt secure and were satisfied with their treatment, and 100% would recommend SandRA monitoring for other RA patients.

Conclusion: The vast majority of RA patients were satisfied with the SMS-based monitoring system. The remission rate was higher in the SandRA group than in the control group but the difference did not reach statistical significance. Overall, remission rates were remarkably high in both groups, possibly due to successful efforts to optimize the rheumatology service (1). Despite our study failing the primary outcome, SMS-based monitoring may be beneficial in less resourced settings, and may facilitate medication adherence. Reference: Vare P, et al. SAGE Open Medicine 2016; 6: 1–7.

Table 1.  Baseline characteristics of the patients.

Control

Intervention

Demographics

N=80

N=82

   Female/male, n

56/24

58/24

   Age years, mean (SD)

59 (14)

54 (13) 1

   Positive serology (RF or ACPA), n (%)

69 (86)

70 (85)

   EULAR score, median (range)

7 (6–10)

7 (6–10)

   Education years, mean (SD)

11.3 (3.5)

12.6 (3.6) 2

   Body Mass Index, mean (SD)

27.5 (5.1)

26.7 (5.2)

   Cohabiting, n (%)

56 (70)

66 (80)

Measures of disease activity, mean (SD)

   DAS28

4.4 (1.3)

4.1 (3.8)

   Erythrocyte sedimentation rate (mm/h)

28 (18)

24 (22)

   Serum C-reactive protein (mg/l)

20 (22)

16 (22)

   Number of swollen joints

6.5 (5.4)

6.4 (5.1)

   Number of tender joints

9.0 (7.4)

7.7 (7.0)

   Patient global assessment (VAS)

46 (28)

45 (28)

   Physician global assessment (VAS)

41 (19)

37 (20)

   Physical function (HAQ)

1.00 (0.7)

0.91 (0.6)

Radiography

   Erosions in hand/foot radiographs, n (%)

14 (18)

17 (21)

1p=0.021  2p=0.026

Disclosure: L. Kuusalo, Pfizer Inc, 5; H. Kautiainen, Pfizer Inc, 5; T. Sokka-Isler, None; T. Uutela, None; L. Pirilä, None; T. Yli-Kerttula, Pfizer Inc, 5; M. J. Kauppi, None; T. Rannio, Pfizer Inc, 5; K. Paalanen, None; A. Kokko, None; J. Asikainen, None; J. Borodina, None; J. Paltta, None; K. Laiho, None; A. Mullanmaa, None; K. Puolakka, Pfizer Inc, 5.

To cite this abstract in AMA style:

Kuusalo L, Kautiainen H, Sokka-Isler T, Uutela T, Pirilä L, Yli-Kerttula T, Kauppi MJ, Rannio T, Paalanen K, Kokko A, Asikainen J, Borodina J, Paltta J, Laiho K, Mullanmaa A, Puolakka K. Automated Cell Phone Monitoring of Disease Activity and Medication Adherence in Early Rheumatoid Arthritis [abstract]. Arthritis Rheumatol. 2016; 68 (suppl 10). https://acrabstracts.org/abstract/automated-cell-phone-monitoring-of-disease-activity-and-medication-adherence-in-early-rheumatoid-arthritis/. Accessed .
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