Self-monitoring combined with patient-initiated care in RA patients with low disease activity: cost-effectiveness analysis of an RCT.

OBJECTIVES: Self-monitoring and patient-initiated care (PIC) leads to fewer outpatient clinic visits in patients with established RA with low disease activity (LDA) while healthcare outcomes are similar. This study assesses the cost-effectiveness of PIC with self-monitoring. METHODS: A 12-month randomized controlled trial was performed with 49 patients in the PIC with self-monitoring group (app-group) and 53 in usual care. The usual care group continued with preplanned visits. The app group had one planned follow-up visit after 12 months and monitored their RA disease activity in a smartphone app. Both groups could make additional appointments at liberty. We included adult RA patients with a disease duration of over 2 years, a disease activity score 28 (DAS28) below 3.2 that were stable on medication for at least 6 months. The effect measure, the DAS28, was measured at 12 months and healthcare resource usage and productivity losses were measured at 3, 6, 9 and 12 months. RESULTS: There was no significant difference in mean change of DAS28 (-0.04 mean difference, 95% CI: -0.39, 0.30), nor a statistically significant difference in total costs (mean difference €514, 95% CI:-€266, €3690) in the app group compared with the usual care group. The probability that the app was cost-effective was 0.37 and 0.57 at a willingness-to-pay threshold of 0 and 50 000 €/point improvement DAS28, respectively. CONCLUSION: Although rheumatic care costs were significantly lower in the app group, total costs and effects of PIC with self-monitoring were not different from usual care in RA patients with LDA.

Facilitators and barriers to adhere to monitoring disease activity with ePROs: a focus group study in patients with inflammatory arthritis.

Telemonitoring disease activity with electronic patient-reported outcomes (ePROs) may reduce the workload of rheumatic care by decreasing outpatient clinic visits. However, low adherence to reporting ePROs is frequently observed. Our objective was to identify facilitators and barriers to weekly monitoring of disease activity with ePROs. Patients with rheumatoid arthritis (RA), psoriatic arthritis (PsA), or ankylosing spondylitis (AS) who recently participated in one of the two telemonitoring studies with ePROs completed in a smartphone app, were invited to participate in focus group discussions (FGD). Thematic analysis was used to identify themes that play a role in the decision to continue or stop reporting weekly ePROs. A total of 22 patients participated in three FGDs. Five themes were identified that were of importance to adhere to telemonitoring: (1) questionnaire frequency, (2) discussing results of completed ePROs, (3) physical consultations, (4) patient insight into disease activity and (5) user experience of the app. All themes contained both barrier and facilitator elements. The results suggest that to improve adherence to telemonitoring of disease activity with ePROs, the perceived benefits of completing ePROs should be maximized. This can be done by providing patients the ability to skip (unneeded) physical consultations in case of low disease activity, and training clinicians to always discuss the completed ePROs. In addition, it is essential to reduce the effort to report ePROs, by tailoring the frequency of ePROs based on the patients' disease activity or preference, aiming for optimal app functionality as well as by sending notifications when new ePROs are available.

Predictors for response to electronic patient-reported outcomes in routine care in patients with rheumatoid arthritis: a retrospective cohort study.

Routine collection of electronic patient-reported outcomes (ePROs) can improve clinical care. However, a low response rate may counteract the benefits. To optimize adoption, the aim of this study was to investigate which patient factors and/or timing of the invitation predicted response to ePROs sent prior to consultations in patients with rheumatoid arthritis. We performed a retrospective database study with clinical data collected as part of usual care from the electronic medical records at Reade Amsterdam. The dataset comprised the email invitations to complete the ePRO sent prior to consultation. Multiple patient factors and factors defining the timing of the invitation were investigated if they predicted response to the ePRO through a multivariable logistic generalized estimating equation analysis. In total, 17.070 ePRO invitations were sent to 3194 patients (mean age 60 (SD 14), 74% female), of which 40% was completed. Patients between 55 and 73 years (OR 1.39, 95%CI 1.09-1.77) and with higher social economic status (SES) (OR 1.51, 95%CI 1.22-1.88) had significantly higher odds for completing the ePRO, while patients living in an urban area had lower odds (OR 0.69, 95% CI 0.62-0.76). In year 4 after implementation, the OR was increased to 3.69 (95% CI 2.91-4.90). The implementation of ePROs in daily clinical practice needs improvement since 40% of the ePROs sent prior to consultations were completed. Patients that had higher odds to report the next ePRO were between the age of 55-73, had a higher socio-economic status, and were residents in a rural area. The adoption of reporting the PRO increased over time, but the timing of the prompt did not predict response. Additional research is needed to understand ePRO completion, especially for patients with lower socio-economic status.

Smartphone-Assisted Patient-Initiated Care Versus Usual Care in Patients With Rheumatoid Arthritis and Low Disease Activity: A Randomized Controlled Trial.

OBJECTIVE: We developed a smartphone application for patients with rheumatoid arthritis (RA) that allows them to self-monitor their disease activity in between clinic visits by answering a weekly Routine Assessment of Patient Index Data 3. This study was undertaken to assess the safety (noninferiority in the Disease Activity Score in 28 joints using the erythrocyte sedimentation rate [DAS28-ESR]) and efficacy (reduction in number of visits) of patient-initiated care assisted using a smartphone app, compared to usual care. METHODS: A 12-month, randomized, noninferiority clinical trial was conducted in RA patients with low disease activity and without treatment changes in the past 6 months. Patients were randomized 1:1 to either app-supported patient-initiated care with a scheduled follow-up consultation after a year (app intervention group) or usual care. The coprimary outcome measures were noninferiority in terms of change in DAS28-ESR score after 12 months and the ratio of the mean number of consultations with rheumatologists between the groups. The noninferiority limit was 0.5 difference in DAS28-ESR between the groups. RESULTS: Of the 103 randomized patients, 102 completed the study. After a year, noninferiority in terms of the DAS28-ESR score was established, as the 95% confidence interval (95% CI) of the mean ΔDAS28-ESR between the groups was within the noninferiority limit: -0.04 in favor of the app intervention group (95% CI -0.39, 0.30). The number of rheumatologist consultations was significantly lower in the app intervention group compared to the usual care group (mean ± SD 1.7 ± 1.8 versus 2.8 ± 1.4; visit ratio 0.62 [95% CI 0.47, 0.81]). CONCLUSION: Patient-initiated care supported by smartphone self-monitoring was noninferior to usual care in terms of the ΔDAS28-ESR and led to a 38% reduction in rheumatologist consultations in RA patients with stable low disease activity.

Probability of Medication Intensifications in Rheumatoid Arthritis Patients With Low Disease Activity Scores on Their Patient-Reported Outcomes: A Medical-Records Review Study.

BACKGROUND: Patients with rheumatoid arthritis require frequent consultations to monitor disease activity and intensify medication when treatment targets are not met. However, because most patients are in remission during follow-up, it should be possible to reduce the number of consultations for them. Electronic patient-reported outcomes (ePROs) could be used to identify patients who meet their treatment goal and who could therefore be eligible to skip their visit. OBJECTIVE: The aim of this study was to assess the probability that patients with low disease activity scores on their ePROs do not need a disease-modifying antirheumatic drug (DMARD) or steroid intensification in the first 2 weeks after completion of the ePROs. METHODS: This medical-records review study compared results of ePROs answered during routine care with DMARD or steroid intensifications collected from anonymized electronic medical record at Reade. The primary outcome was the positive predictive value (PPV) of having a low disease activity score on an ePRO for not receiving a DMARD or steroid intensifications within 2 weeks. The 3 studied ePROs (and respective low disease activity outcome) were the Routine Assessment of Patient Index Data 3 (RAPID3) (score <2), Patient Acceptable Symptom State (PASS) (yes), and the flare question (no). The secondary aim of the study was to assess which combination of ePROs resulted in the best PPV for DMARD or steroid intensifications. RESULTS: Of the 400 randomly selected records, ultimately 321 were included (302 unique patients). The PPV of a RAPID3 <2, being in PASS, and a negative answer on the flare question were, respectively, 99%, 95%, and 83% to not receive a DMARD or steroid intensification within 2 weeks. The combination of a RAPID3 <2 and a negative flare question resulted in a PPV of 100%; this combination was present in 29% (93/321) of the total study population. CONCLUSION: The RAPID3, PASS, and flare question have a high diagnostic accuracy to identify individuals who will not receive a DMARD or steroid intensification in the following 2 weeks. The combination of the RAPID3 and flare question yielded the best combination of diagnostic accuracy and highest percentage of patients who could be eligible to skip a visit. These results suggest that accurate identification of patients who meet their treatment goal with ePROs is possible.

Asynchronous mHealth Interventions in Rheumatoid Arthritis: Systematic Scoping Review.

BACKGROUND: Mobile devices such as smartphones and tablets have surged in popularity in recent years, generating numerous possibilities for their use in health care as mobile health (mHealth) tools. One advantage of mHealth is that it can be provided asynchronously, signifying that health care providers and patients are not communicating in real time. The integration of asynchronous mHealth into daily clinical practice might therefore help to make health care more efficient for patients with rheumatoid arthritis (RA). The benefits have been reviewed in various medical conditions, such as diabetes and asthma, with promising results. However, to date, it is unclear what evidence exists for the use of asynchronous mHealth in the field of RA. OBJECTIVE: The objective of this study was to map the different asynchronous mHealth interventions tested in clinical trials in patients with RA and to summarize the effects of the interventions. METHODS: A systematic search of Pubmed, Scopus, Cochrane, and PsycINFO was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Studies were initially screened and later assessed by two independent researchers. Disagreements on inclusion or exclusion of studies were resolved by discussion. RESULTS: The literature search yielded 1752 abstracts. After deduplication and screening, 10 controlled intervention studies were included. All studies were assessed to be at risk for bias in at least one domain of the Cochrane risk-of-bias tool. In the 10 selected studies, 4 different types of mHealth interventions were used: SMS reminders (to increase medication adherence or physical activity; n=3), web apps (for disease monitoring and/or to provide medical information; n=5), smartphone apps (for disease monitoring; n=1), and pedometers (to increase and track steps; n=1). Measured outcomes varied widely between studies; improvements were seen in terms of medication compliance (SMS reminders), reaching rapid remission (web app), various domains of physical activity (pedometer, SMS reminders, and web apps), patient-physician interaction (web apps), and self-efficacy (smartphone app). CONCLUSIONS: SMS reminders, web apps, smartphone apps, and pedometers have been evaluated in intervention studies in patients with RA. These interventions have been used to monitor patients or to support them in their health behavior. The use of asynchronous mHealth led to desirable outcomes in nearly all studies. However, since all studies were at risk of bias and methods used were very heterogeneous, high-quality research is warranted to corroborate these promising results.

Feasibility of Self-Monitoring Rheumatoid Arthritis With a Smartphone App: Results of Two Mixed-Methods Pilot Studies.

BACKGROUND: Several mobile apps that monitor symptoms of rheumatoid arthritis (RA) exist, but a recent systematic review indicated that high-quality apps are lacking. When patients self-monitor their own disease with patient-reported outcomes (PROs) and self-initiate care at the right moment, it may be possible to reduce the frequency of their clinic visits, which would reduce health care burden and costs. We developed an app, that is, the MijnReuma Reade app, for this purpose and performed 2 pilot tests with weekly self-monitoring. OBJECTIVE: The primary objective of this study was to design, develop, and evaluate the usability, satisfaction, and usage of the MijnReuma Reade app-an app that allows patients with RA to monitor their own disease. The secondary objective was to review the patients' perspectives on app usage and its intended purpose. METHODS: This app was designed in collaboration with patients with RA, rheumatologists, and information technology experts. Two 1-month pilot studies were performed, after which satisfaction (0-10 scale), usability (system usability scale, 0-100), and usage (proportion of completed questionnaires) of this app were assessed. After the second pilot study, semistructured interviews were performed to determine patients' perspectives and the promoters and barriers of app usage. RESULTS: In the first and second pilot study, 42 and 27 patients were included, respectively. Overall, the patients were satisfied (medians, 8 and 7) and found the app usable (mean system usability scores, 76 and 71) in pilot studies 1 and 2, respectively. App usage declined over time in both the pilot studies; 61% (17/28) and 37% (10/27) of the patients who disclosed their usage statistics completed the final weekly questionnaire in pilot study 1 and pilot study 2, respectively. Approximately 81% (25/31) of the patients indicated they would like to skip hospital visits if the self-monitored disease activity is low. In the semistructured interviews, technical problems, internal resistance (respondent fatigue, the app reminded them of their disease), and a lack of symptoms were identified as barriers for usage. Patients reported that "experiencing more grip on their disease" and "improved communication with their physician" were promoters for usage. Patients reported that pain positively mediated usage, that is, more pain promoted and less pain discouraged app usage. CONCLUSIONS: This study illustrates the feasibility of the MijnReuma Reade app that enables self-monitoring of the disease activity in patients with RA with the overarching aim to allocate clinical consultations according to need. Satisfaction with the app and usability of the app were found to be high; however, app usage declined over time. Patients acknowledged the potential of the app to self-monitor their own disease and would like to be able to skip clinic visits if the monitored disease activity is low. To evaluate this strategy, a randomized controlled trial is underway.