Abstract

BackgroundRheumatoid arthritis (RA) is associated with significantly diminished health-related quality of life. Patient-reported outcomes (PROs) are considered important in RA; however, some symptoms such as morning joint stiffness (MJS) and fatigue that are considered important by patients are not captured by the American College of Rheumatology “core set” measures for RA trials. The US Food and Drug Administration has endorsed electronic capture of clinical trial data including PROs, and electronic PRO (ePRO) systems may lead to more accurate and complete data capture, improved compliance, and patient acceptance compared with paper-based methods. Our objective was to assess the implementation of ePRO measures of Duration and Severity of MJS, Severity of Worst Tiredness, and Severity of Worst Joint Pain in baricitinib RA-BEAM and RA-BUILD phase 3 randomized clinical trials (RCTs).MethodsA daily electronic diary (handheld device; Invivodata®, Inc.) was utilized to capture PRO data in the RCTs. Three “reporting window” options were incorporated to accommodate differences in patients’ routine daily schedules, and alarms were programmed for each reporting window. Duration of MJS was recorded in “hours and minutes,” and Severity of MJS, Worst Tiredness, and Worst Joint Pain were captured on a 0 to 10 rating scale, with a higher score indicating more severe symptoms. The patients and site staff were trained to use the daily electronic diary.ResultsPatients with moderately to severely active RA used the daily electronic diary in the RA-BEAM study (N = 1305) and RA-BUILD study (N = 684). The average compliance, calculated as total days completed by patients compared with total days expected to complete the diary, through Week 12 was high (RA-BEAM 94% patients; RA-BUILD 93% patients), potentially attributable to appropriate training, clarity of instructions, simple user interface, and electronic device design. Identified process challenges included non-timely issuance of the device, low battery, inadequate training of patients before data collection, inappropriate diary set-up, and first response entry 1 day after the baseline visit.ConclusionsHigh compliance rates support the use of the daily electronic PRO diary in large RCTs. Despite the anticipated issues, the daily electronic diary is expected to reduce recall bias and improve the quality of PRO data collection.Trial registrationRA-BEAM (NCT01710358) and RA-BUILD (NCT01721057).

Highlights

  • Rheumatoid arthritis (RA) is associated with significantly diminished health-related quality of life

  • The electronic Patient-reported outcome (PRO) (ePRO) information was collected in accordance with the PRO guidance from the Food and Drug Administration (FDA), with data collected in the daily diary using a handheld device provided to patients

  • The daily electronic PRO diary was used by patients with moderately to severely active RA, who were naïve to biologic treatment, and enrolled in the RA-BUILD study (N = 684) and the RA-BEAM study (N = 1305)

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Summary

Introduction

Rheumatoid arthritis (RA) is associated with significantly diminished health-related quality of life. Patientreported outcomes (PROs) are considered important in RA; some symptoms such as morning joint stiffness (MJS) and fatigue that are considered important by patients are not captured by the American College of Rheumatology “core set” measures for RA trials. RA has variable expression and outcomes, ranging from mild to severe, and is associated with progressive joint destruction, significantly compromised health-related quality of life (HRQoL), and reduced survival [1, 2]. Symptoms and impacts of the disease are best known by the patient and best measured by patient-reported outcomes (PROs) [3]. The Food and Drug Administration (FDA) guidance for industry recognizes that PRO instruments should be used in measuring concepts best known by the patient or best measured from a patient’s perspective in clinical trials [5]. Patients with RA have identified pain, physical function, fatigue, joint stiffness, participation, sleep, and emotional and psychosocial factors as important domains for the assessment of HRQoL [8,9,10]

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