An e-health interactive self-assessment website (Sanoia®) in rheumatoid arthritis. A 12-month randomized controlled trial in 320 patients

Beyond the symptoms: Personalizing giant cell arteritis care through multidimensional patient reported outcome measure

BACKGROUND

Giant Cell Arteritis (GCA) is the commonest form of systemic vasculitis in people over the age of 50. Published research highlighted the lack of a disease-specific patient reported outcomes (PROMs) for GCA.

OBJECTIVES

To assess the validity, reliability and responsiveness to change of a devised disease specific patient self-reported outcome measures questionnaire for Giant Cell Arteritis (GCA).

METHODS

The GCA-PROMs was conceptualized based on frameworks outlined in the OMERACT developed core set of Outcome Measures for Large-Vessel Vasculitis and the guiding principles of the FDA guidance. Initially, cognitive interviews were conducted to identify item pool of questions. Item selection and reduction was achieved based on patients as well as an interdisciplinary group of specialists. Rasch and internal consistency reliability analyses were implemented.

RESULTS

A total of 54 GCA patients completed the questionnaire. The GCA-PROMs questionnaire was reliable as demonstrated by a high standardized alpha (0.878-0.983). Content construct assessment of the GCA-PROMs functional disability and QoL revealed significant correlation (p< 0.01) with both HAQ and EQ-5D. Changes in functional disability, QoL showed significant (p< 0.01) variation with diseases activity status in response to therapy.

CONCLUSIONS

The developed GCA-PROMs questionnaire is a reliable and valid instrument for assessment of GCA patients. A stratified treatment regimen depending on the individual patient's risk factors as well as preferences and associated comorbidities is the best approach to tailored patient management.

Attitudes towards technology supported rheumatoid arthritis care: investigating patient- and clinician-perceived opportunities and barriers

Objectives

Globally, demand outstrips capacity in rheumatology services, making Mobile Health (mHealth) attractive, with the potential to improve access, empower patient self-management and save costs. Existing mHealth interventions have poor uptake by end users. This study was designed to understand existing challenges, opportunities and barriers for computer technology in the RA care pathway.

Methods

People with RA were recruited from Barts Health NHS Trust rheumatology clinics to complete paper questionnaires and clinicians were recruited from a variety of centres in the UK to complete an online questionnaire. Data collected included demographics, current technology use, challenges managing RA, RA medications and monitoring, clinic appointments, opportunities for technology and barriers to technology.

Results

A total of 109 patient and 41 clinician questionnaires were completed. A total of 83.5% of patients and 93.5% of clinicians use smartphones daily. However, only 25% had ever used an arthritis app and only 5% had persisted with one. Both groups identified managing pain, flares and RA medications as areas of existing need. Access to care, medication support and disease education were mutually agreeable opportunities; however, discrepancies existed between groups with clinicians prioritizing education over access, likely due to concerns of data overwhelm (80.6% considered this a barrier).

Conclusions

In spite of high technology use and willingness from both sides, our cohort did not utilize technology to support care, suggesting inadequacies in the existing software. The lack of an objective biomarker for RA disease activity, existing challenges in the healthcare system and the need for integration with existing technical systems were identified as the greatest barriers.

Trial registration

Registered on the Clinical Research Network registry (IRAS ID: 264690).

Digital Patient Reported Outcome Measures Platform for Post-COVID-19 Condition and Other Long-Term Conditions: User-Centered Development and Technical Description

BACKGROUND

Post-COVID-19 condition (PCC), colloquially known as long COVID, is a multisystem condition characterized by persistent symptoms beyond 4 weeks after the SARS-CoV-2 infection. More than 60 million people with PCC worldwide need prompt assessment, diagnosis, and monitoring, with many requiring specialist help from a multidisciplinary team of health care professionals (HCPs). Consequently, a scalable digital system is required for both people with PCC and HCPs to capture the breadth of symptoms and their impact on health, using patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs).

OBJECTIVE

We aim to develop and implement a novel PCC digital PROM (DPROM) platform for (1) securely collecting PROM and PREM data from people with PCC, (2) enabling users to monitor symptoms longitudinally and assess response to treatment, (3) generating reports for the electronic health records (EHRs), (4) providing summary reports on PCC services based on national requirements, and (5) facilitating the sharing of relevant data with authorized research teams to accelerate our understanding of this new condition and evaluate new strategies to manage PCC.

METHODS

We (1) undertook requirement analysis with people with PCC, HCPs, and researchers to identify the needs of the DPROM platform and determine its required functionalities; (2) designed and developed a clinically useful web portal for staff and a mobile app for patients, with a web-based alternative app to improve patient and staff choice, limit the risk of digital exclusion, and account for variability across services; (3) determined the PROMs and PREMs that PCC services would prefer to use on the platform; and (4) designed the summary report function that can be generated for each user for the EHR and for reporting to national health authorities.

RESULTS

A DPROM platform to record PCC symptom profile, condition severity, functional disability, and quality of life, based on the C19-YRS (Yorkshire Rehabilitation Scale) and other PROMs and PREMs, was developed. Individual-level medical information and details on the COVID-19 illness can be captured systematically. The platform generates easy-to-understand scores, radar plots and line graphs for people with PCC to self-monitor their condition and for HCPs to assess the natural course of the condition and the response to interventions. Clinics can configure a suite of PROMs and PREMs based on their local and national service and commissioning requirements and support research studies which require large-scale data collection on PROMs. The DPROM platform enables automatic aggregate data analysis for services to undertake service evaluation and cost-effectiveness analysis. The DPROM platform generated summary report can be uploaded to the EHRs of people with PCC.

CONCLUSIONS

A multifunctional DPROM platform to assess, grade, and monitor PCC has been developed. Future research will analyze the system's usability in specialist PCC clinical services and other long-term conditions.

Socioeconomic, Disease-Related, and Personal Factors Associated With Participation in Remote Follow-Up in Rheumatoid Arthritis: A Cross-Sectional Study

OBJECTIVE

To identify socioeconomic, disease-related, and personal factors associated with participation in remote follow-up in patients with rheumatoid arthritis (RA).

METHODS

Following the implementation of a patient-reported outcome-based remote follow-up intervention in RA patients in Denmark, a cross-sectional study was conducted among 775 prevalent patients. In 2019, an electronic questionnaire was sent to eligible RA patients, covering health literacy and patient experience regarding involvement and confidence with remote care. Questionnaire data were linked to nationwide registries regarding socioeconomic status, labor market affiliation, and comorbidity level. Associations between registry- and questionnaire-based factors and remote follow-up were analyzed using multiple logistic regression analysis.

RESULTS

All 775 patients were included in the registry-based analyses, but only 394 of 646 (61%) completed the questionnaire. No attachment to the labor market or low household income was associated with lower odds of remote follow-up participation (odds ratio [OR] 0.53 [95% confidence interval (95% CI) 0.34-0.83]) and (OR 0.69 [95% CI 0.48-1.00]). Further, a high level of comorbidity was associated with lower odds of remote follow-up participation compared to a low/medium level of comorbidity (OR 0.53 [95% CI 0.34-0.81]). No association was found between health literacy and remote follow-up, but remote follow-up attendees reported more confidence in remote care (OR 1.33 [95% CI 1.21-1.47]).

CONCLUSION

Participation in remote follow-up was associated with attachement to the labor market, household income, degree of comorbidity, and confidence with remote care. Additional research is necessary to investigate whether a larger and more divergent group of RA patients should be considered for inclusion in remote follow-up programs.

Cost-effectiveness of a telehealth intervention in rheumatoid arthritis: economic evaluation of the Telehealth in RA (TeRA) randomized controlled trial

OBJECTIVE

Telehealth is rapidly gaining ground from usual treatment, not least because of coronavirus disease 2019 (COVID-19) measures. Within rheumatology, telehealth has been used for, inter alia, follow-up for patients with rheumatoid arthritis (RA) with low disease activity or in remission. This study aims to assess the cost-effectiveness of such a telehealth intervention.

METHOD

In a randomized controlled trial, 294 patients were randomized into patient-reported outcome-based telehealth follow-up by either a nurse (PRO-TN) or a rheumatologist (PRO-TR) or to conventional outpatient follow-up (control). Cost-effectiveness was evaluated using costs per quality-adjusted life-year (QALY) gained. Individual-level healthcare and productivity costs were retrieved from national Danish registers. Incremental cost-effectiveness ratios were calculated for the intervention groups compared to the control group. Bootstrapping with 10 000 replications was used to obtain confidence intervals. Furthermore, cost-effectiveness acceptability curves were generated.

RESULTS

The cost comparison showed that PRO-TR was significantly less costly than the control group, whereas the relative reduction in costs for PRO-TN was not significant. The telehealth groups experienced minor, non-significant declines in QALYs, whereas the control group experienced a slight, non-significant increase. The cost-effectiveness analysis showed that for PRO-TR, the willingness to accept a QALY loss was 89 328 EUR. A similar but smaller and non-significant result was seen for PRO-TN.

CONCLUSION

PRO-TR and PRO-TN seem to cost less but provide broadly similar health outcomes compared with conventional follow-up. Between the intervention groups, PRO-TR was significantly less costly. More studies are needed to conclude whether rheumatologist- or nurse-led telehealth is more cost-effective than conventional follow-up.

Digital Patient-Reported Outcome Measures Assessing Health-Related Quality of Life in Skull Base Diseases-Analysis of Feasibility and Pitfalls Two Years after Implementation

Health-related quality of life (HRQoL) assessment is becoming increasingly important in neurosurgery following the trend toward patient-centered care, especially in the context of skull base diseases. The current study evaluates the systematic assessment of HRQoL using digital patient-reported outcome measures (PROMs) in a tertiary care center specialized in skull base diseases. The methodology and feasibility to conduct digital PROMs using both generic and disease-specific questionnaires were investigated. Infrastructural and patient-specific factors affecting participation and response rates were analyzed. Since August 2020, 158 digital PROMs were implemented in skull base patients presenting for specialized outpatient consultations. Reduced personnel capacity led to significantly fewer PROMs being conducted during the second versus (vs.) the first year after introduction (mean: 0.77 vs. 2.47 per consultation day, p = 0.0002). The mean age of patients not completing vs. those completing long-term assessments was significantly higher (59.90 vs. 54.11 years, p = 0.0136). Follow-up response rates tended to be increased with recent surgery rather than with the wait-and-scan strategy. Our strategy of conducting digital PROMs appears suitable for assessing HRQoL in skull base diseases. The availability of medical personnel for implementation and supervision was essential. Response rates during follow-up tended to be higher both with younger age and after recent surgery.

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.

Nationwide, large-scale implementation of an online system for remote entry of patient-reported outcomes in rheumatology: characteristics of users and non-users and time to first entry

Aims

In May 2020, a nationwide, web-based system for remote entry of patient-reported outcomes (PROs) in inflammatory rheumatic diseases was launched and implemented in routine care (DANBIO-from-home). After 1.5 years of use, we explored clinical characteristics of patients who did versus did not use the system, and the time to first entry of PROs.

Methods

All patients followed in DANBIO were informed about DANBIO-from-home by electronic invitations or when attending their clinic. Characteristics of patients who did/did not use DANBIO-from-home in the period after implementation were explored by multivariable logistic regression analyses including demographic and clinical variables (gender, age group, diagnosis, disease duration, use of biological disease-modifying agent (bDMARD), Health Assessment Questionnaire (HAQ), Patient Acceptable Symptom Scale (PASS)). Time from launch to first entry was presented as cumulative incidence curves by age group (<40/40–60/61–80/>80 years).

Results

Of 33 776 patients, 68% entered PROs using DANBIO-from-home at least once. Median (IQR) time to first entry was 27 (11–152) days. Factors associated with data entry in multivariate analyses (OR (95% CI)) were: female gender (1.19 (1.12 to 1.27)), bDMARD treatment (1.41 (1.33 to 1.50)), age 40–60 years (1.79 (1.63 to 1.97)), 61–80 years (1.87 (1.70 to 2.07), or age >80 years (0.57 (0.50 to 0.65)) (reference: age <40 years), lower HAQ (0.68 (0.65 to 0.71)) and PASS ‘no’ (1.09 (1.02 to 1.17). Diagnosis was not associated. Time to first entry of PROs was longest in patients <40 years of age (119 (24–184) days) and shortest in the 61–80 years age group (25 (8–139) days).

Conclusion

A nationwide online platform for PRO in rheumatology achieved widespread use. Higher age, male gender, conventional treatment and disability were associated with no use.

Engagement and attrition with eHealth tools for remote monitoring in chronic arthritis: a systematic review and meta-analysis

Objectives

Although eHealth tools are potentially useful for remote disease monitoring, barriers include concerns of low engagement and high attrition. We aimed to summarise evidence on patients’ engagement and attrition with eHealth tools for remotely monitoring disease activity/impact in chronic arthritis.

Methods

A systematic literature search was conducted for original articles and abstracts published before September 2022. Eligible studies reported quantitative measures of patients’ engagement with eHealth instruments used for remote monitoring in chronic arthritis. Engagement rates were pooled using random effects meta-analysis.

Results

Of 8246 references, 45 studies were included: 23 using smartphone applications, 13 evaluating wearable activity trackers, 7 using personal digital assistants, 6 including web-based platforms and 2 using short message service. Wearable-based studies mostly reported engagement as the proportion of days the tracker was worn (70% pooled across 6 studies). For other eHealth tools, engagement was mostly reported as completion rates for remote patient-reported outcomes (PROs). The pooled completion rate was 80%, although between-study heterogeneity was high (I² 93%) with significant differences between eHealth tools and frequency of PRO-collection. Engagement significantly decreased with longer study duration, but attrition varied across studies (0%–89%). Several predictors of higher engagement were reported. Data on the influence of PRO-reporting frequency were conflicting.

Conclusion

Generally high patient engagement was reported with eHealth tools for remote monitoring in chronic arthritis. However, we found considerable between-study heterogeneity and a relative lack of real-world data. Future studies should use standardised measures of engagement, preferably assessed in a daily practice setting.

Trial registeration number

The protocol was registered on PROSPERO (CRD42021267936).

Design and implementation of a mobile app for the pharmacotherapeutic follow-up of patients diagnosed with immune-mediated inflammatory diseases: eMidCare

Background

Pharmacotherapeutic management of immune-mediated inflammatory diseases (IMID) has become more complex due to the development of new treatments, such as biological therapies. Mobile health, especially apps, can provide IMID patients with greater autonomy and facilitate communication with healthcare professionals. Our objective was to design and implement an app for remote monitoring and communication with IMID patients.

Methods

A multidisciplinary group was created to design and develop an app for IMID patients in a tertiary hospital. The app functionalities were identified through a focus group with IMID patients and through an observational, descriptive study of available apps for IMID patients at App Store and Play Store platforms. Once the app was designed and developed, we offered the app to IMID patients who initiated a new biological therapy. The inclusion period was from December 2020 to August 2021. We performed an observational, longitudinal study to assess the app’s impact on medication safety, communication, satisfaction, and usability.

Results

We designed an app (eMidCare®) with the following modules: My Medication, My Questionnaires, Adverse Events, Useful Information, Messages, and Patient Profile. A total of 85 patients were installed with the app. The median (range) follow-up time for app use was 123 (5-270) days. In the My Medication module, 100% of patients registered their biological therapy and 25.9% also used this module to record each dose of medication administered. A total of 82 adverse events (AEs) were registered. Thirty-two percent of the patients registered at least 1 AE. The most frequent AEs were fatigue, injection site reaction, headache, and nausea. Fifty-two percent of patients used the Messages module to communicate with healthcare professionals. The most frequent messages concerned doubts about managing AEs (26.2%) and drug interactions (18.9%). The satisfaction survey yielded a median (range) score of 9.1 (7-10) out of 10.

Conclusions

We developed an app, eMidCare®, which reminds patients to take their medication, enables them to record AEs, and helps them communicate with healthcare professionals. Approximately one-third of the patients registered the administration of the biological therapies and registered at least 1 AE. The most used and most satisfactory functionality was communication with health professionals.

Effectiveness of remote care interventions: a systematic review informing the 2022 EULAR Points to Consider for remote care in rheumatic and musculoskeletal diseases

Objective

To perform a systematic literature review (SLR) on different outcomes of remote care compared with face-to-face (F2F) care, its implementation into clinical practice and to identify drivers and barriers in order to inform a task force formulating the EULAR Points to Consider for remote care in rheumatic and musculoskeletal diseases (RMDs).

Methods

A search strategy was developed and run in Medline (PubMed), Embase and Cochrane Library. Two reviewers independently performed standardised data extraction, synthesis and risk of bias (RoB) assessment.

Results

A total of 2240 references were identified. Forty-seven of them fulfilled the inclusion criteria. Remote monitoring (n=35) was most frequently studied, with telephone/video calls being the most common mode of delivery (n=30). Of the 34 studies investigating outcomes of remote care, the majority addressed efficacy and user perception; 34% and 21% of them, respectively, reported a superiority of remote care as compared with F2F care. Time and cost savings were reported as major benefits, technical aspects as major drawback in the 13 studies that investigated drivers and barriers of remote care. No study addressed remote care implementation. The main limitation of the studies identified was the heterogeneity of outcomes and methods, as well as a substantial RoB (50% of studies with high RoB).

Conclusions

Remote care leads to similar or better results compared with F2F treatment concerning efficacy, safety, adherence and user perception outcomes, with the limitation of heterogeneity and considerable RoB of the available studies.

2022 EULAR points to consider for remote care in rheumatic and musculoskeletal diseases

BACKGROUND

Remote care and telehealth have the potential to expand healthcare access, and the COVID-19 pandemic has called for alternative solutions to conventional face-to-face follow-up and monitoring. However, guidance is needed on the integration of telehealth into clinical care of people with rheumatic and musculoskeletal diseases (RMD).

OBJECTIVE

To develop EULAR points to consider (PtC) for the development, prioritisation and implementation of telehealth for people with RMD.

METHODS

A multidisciplinary EULAR task force (TF) of 30 members from 14 European countries was established, and the EULAR standardised operating procedures for development of PtC were followed. A systematic literature review was conducted to support the TF in formulating the PtC. The level of agreement among the TF was established by anonymous online voting.

RESULTS

Four overarching principles and nine PtC were formulated. The use of telehealth should be tailored to patient's needs and preferences. The healthcare team should have adequate equipment and training and have telecommunication skills. Telehealth can be used in screening for RMD as preassessment in the referral process, for disease monitoring and regulation of medication dosages and in some non-pharmacological interventions. People with RMD should be offered training in using telehealth, and barriers should be resolved whenever possible.The level of agreement to each statement ranged from 8.5 to 9.8/10.

CONCLUSION

The PtC have identified areas where telehealth could improve quality of care and increase healthcare access. Knowing about drivers and barriers of telehealth is a prerequisite to successfully establish remote care approaches in rheumatologic clinical practice.

Telemedicine and psoriatic arthritis: best practices and considerations for dermatologists and rheumatologists

Telemedicine encompasses a variety of modalities that allow for the remote assessment and treatment of patients. The technologies, services, and tools available for telemedicine in the USA are increasingly becoming an integral part of the healthcare system to bridge the gaps in care that can arise from geographic and/or socioeconomic obstacles and provider shortages. Telemedicine can be applied to a spectrum of clinical areas, including rheumatic diseases. Psoriatic arthritis (PsA) is a chronic, inflammatory, multisystem disease with predominately skin and joint manifestations. PsA is often misdiagnosed and/or undiagnosed, which can lead to worse patient outcomes, including irreversible joint erosion and damage. The difficulties in diagnosing and managing PsA are confounded by the emergence and increased use of telemedicine because of the COVID-19 pandemic. Telemedicine presents the opportunity to increase access to healthcare by rheumatologists and dermatologists to improve training and education regarding PsA and to decrease time attributed to office visits associated with PsA. However, challenges in diagnosing PsA without a thorough in-person physical examination by a trained rheumatologist or dermatologist exist. We provide an overview of the ways telemedicine can be incorporated into clinical care and optimized for patients with PsA; characteristic clinical features of PsA, with a focus on skin and joint signs and symptoms; screening tools to be used in routine clinical care; assessments that can be used to evaluate quality of life, functional ability, and disease activity in PsA; and resources and recommendations for the development of future telemedicine use in rheumatology and dermatology.

Key Points • Patients with psoriatic arthritis (PsA) are often misdiagnosed and/or undiagnosed. • Telemedicine can improve access to healthcare by rheumatologists and dermatologists. • Telemedicine can be incorporated into clinical care and optimized for managing PsA.

Routine provision of feedback from patient-reported outcome measurements to healthcare providers and patients in clinical practice

BACKGROUND

Patient-reported outcomes measures (PROMs) assess a patient's subjective appraisal of health outcomes from their own perspective. Despite hypothesised benefits that feedback  on PROMs can support decision-making in clinical practice and improve outcomes, there is uncertainty surrounding the effectiveness of PROMs feedback.

OBJECTIVES

To assess the effects of PROMs feedback to patients, or healthcare workers, or both on patient-reported health outcomes and processes of care.

SEARCH METHODS

We searched MEDLINE, Embase, CENTRAL, two other databases and two clinical trial registries on 5 October 2020. We searched grey literature and consulted experts in the field.

SELECTION CRITERIA

Two review authors independently screened and selected studies for inclusion. We included randomised trials directly comparing the effects on outcomes and processes of care of PROMs feedback to healthcare professionals and patients, or both with the impact of not providing such information.

DATA COLLECTION AND ANALYSIS

Two groups of two authors independently extracted data from the included studies and evaluated study quality. We followed standard methodological procedures expected by Cochrane and EPOC. We used the GRADE approach to assess the certainty of the evidence. We conducted meta-analyses of the results where possible.

MAIN RESULTS

We identified 116 randomised trials which assessed the effectiveness of PROMs feedback in improving processes or outcomes of care, or both in a broad range of disciplines including psychiatry, primary care, and oncology. Studies were conducted across diverse ambulatory primary and secondary care settings in North America, Europe and Australasia. A total of 49,785 patients were included across all the studies. The certainty of the evidence varied between very low and moderate. Many of the studies included in the review were at risk of performance and detection bias. The evidence suggests moderate certainty that PROMs feedback probably improves quality of life (standardised mean difference (SMD) 0.15, 95% confidence interval (CI) 0.05 to 0.26; 11 studies; 2687 participants), and leads to an increase in patient-physician communication (SMD 0.36, 95% CI 0.21 to 0.52; 5 studies; 658 participants), diagnosis and notation (risk ratio (RR) 1.73, 95% CI 1.44 to 2.08; 21 studies; 7223 participants), and disease control (RR 1.25, 95% CI 1.10 to 1.41; 14 studies; 2806 participants). The intervention probably makes little or no difference for general health perceptions (SMD 0.04, 95% CI -0.17 to 0.24; 2 studies, 552 participants; low-certainty evidence), social functioning (SMD 0.02, 95% CI -0.06 to 0.09; 15 studies; 2632 participants; moderate-certainty evidence), and pain (SMD 0.00, 95% CI -0.09 to 0.08; 9 studies; 2386 participants; moderate-certainty evidence). We are uncertain about the effect of PROMs feedback on physical functioning (14 studies; 2788 participants) and mental functioning (34 studies; 7782 participants), as well as fatigue (4 studies; 741 participants), as the certainty of the evidence was very low. We did not find studies reporting on adverse effects defined as distress following or related to PROM completion.

AUTHORS' CONCLUSIONS

PROM feedback probably produces moderate improvements in communication between healthcare professionals and patients as well as in diagnosis and notation, and disease control, and small improvements to quality of life. Our confidence in the effects is limited by the risk of bias, heterogeneity and small number of trials conducted to assess outcomes of interest. It is unclear whether   many of these improvements are clinically meaningful or sustainable in the long term. There is a need for more high-quality studies in this area, particularly studies which employ cluster designs and utilise techniques to maintain allocation concealment.

The Impact of Digital Patient Portals on Health Outcomes, System Efficiency, and Patient Attitudes: Updated Systematic Literature Review

Background

Patient portals are becoming increasingly popular worldwide even though their impact on individual health and health system efficiency is still unclear.

Objective

The aim of this systematic review was to summarize evidence on the impact of patient portals on health outcomes and health care efficiency, and to examine user characteristics, attitudes, and satisfaction.

Methods

We searched the PubMed and Web of Science databases for articles published from January 1, 2013, to October 31, 2019. Eligible studies were primary studies reporting on the impact of patient portal adoption in relation to health outcomes, health care efficiency, and patient attitudes and satisfaction. We excluded studies where portals were not accessible for patients and pilot studies, with the exception of articles evaluating patient attitudes.

Results

Overall, 3456 records were screened, and 47 articles were included. Among them, 11 studies addressed health outcomes reporting positive results, such as better monitoring of health status, improved patient-doctor interaction, and improved quality of care. Fifteen studies evaluated the impact of digital patient portals on the utilization of health services with mixed results. Patient characteristics were described in 32 studies, and it was reported that the utilization rate usually increases with age and female gender. Finally, 30 studies described attitudes and defined the main barriers (concerns about privacy and data security, and lack of time) and facilitators (access to clinical data and laboratory results) to the use of a portal.

Conclusions

Evidence regarding health outcomes is generally favorable, and patient portals have the potential to enhance the doctor-patient relationship, improve health status awareness, and increase adherence to therapy. It is still unclear whether the use of patient portals improves health service utilization and efficiency.

Impact of assessing patient-reported outcomes with mobile apps on patient-provider interaction

Objective

To explore the effect of apps measuring patient-reported outcomes (PROs) on patient–provider interaction in the rheumatic diseases in an observational setting.

Methods

Patients in the Swiss Clinical Quality Management in Rheumatic Diseases Registry were offered mobile apps (iDialog and COmPASS) to track disease status between rheumatology visits using validated PROs (Rheumatoid Arthritis Disease Activity Index-5 score, Bath Ankylosing Spondylitis Disease Activity Index score, Routine Assessment of Patient Index Data-3 score and Visual Analogue Scale score for pain, disease activity and skin symptoms). We assessed two aspects of patient–provider interaction: shared decision making (SDM) and physician awareness of disease fluctuations. We used logistic regressions to compare outcomes among patients who (1) used an app and discussed app data with their physician (app+discussion group), (2) used an app without discussing the data (app-only group) or (3) did not use any app (non-app users).

Results

2111 patients were analysed, including 1799 non-app users, 150 app-only users and 162 app+discussion users (43% male; with 902 patients with rheumatoid arthritis, 766 patients with axial spondyloarthritis and 443 patients with psoriatic arthritis). App users were younger than non-app users (mean age of 47 vs 51 years, p<0.001). Compared with non-app users, the app+discussion group rated their rheumatologist more highly in SDM (OR 1.7, 95% CI 1.1 to 2.4) and physician awareness of disease fluctuations (OR 2.0, 95% CI 1.3 to 3.1). This improvement was absent in the app-only group.

Conclusion

App users who discussed app data with their rheumatologist reported more favourably on patient–provider interactions than app users who did not and non-app users. Apps measuring PROs may contribute little to patient–provider interactions without integration of app data into care processes.

The PICASO cloud platform for improved holistic care in rheumatoid arthritis treatment-experiences of patients and clinicians

Background

Multimorbidity raises the number of essential information needed for delivery of high-quality care in patients with chronic diseases like rheumatoid arthritis (RA). We evaluated an innovative ICT platform for integrated care which orchestrates data from various health care providers to optimize care management processes.

Methods

The Horizon2020-funded research project PICASO (picaso-project.eu) established an ICT platform that offers integration of care services across providers and supports patients’ management along the continuum of care, leaving the data with the owner. Strict conformity with ethical and legal legislations was augmented with a usability-driven engineering process, user requirements gathering from relevant stakeholders, and expert walkthroughs guided developments. Developments based on the HL7/FHIR standard granting interoperability. Platform’s applicability in clinical routine was an essential aim. Thus, we evaluated the platform according to an evaluation framework in an observational 6-month proof-of-concept study with RA patients affected by cardiovascular comorbidities using questionnaires, interviews, and platform data.

Results

Thirty RA patients (80% female) participated, mean age 59 years, disease duration 13 years, average number of comorbidities 2.9. Home monitoring data demonstrated high platform adherence. Evaluations yielded predominantly positive feedback: The innovative dashboard-like design offering time-efficient data visualization, comprehension, and personalization was well accepted, i.e., patients rated the platform “overall” as 2.3 (1.1) (mean (SD), Likert scales 1–6) and clinicians recommended further platform use for 93% of their patients. They managed 86% of patients’ visits using the clinician dashboard. Dashboards were valued for a broader view of health status and patient-physician interactions. Platform use contributed to improved disease and comorbidity management (i.e., in 70% physicians reported usefulness to assess patients’ diseases and in 33% potential influence on treatment decisions; risk manager was used in 59%) and empowered patients (i.e., 48% set themselves new health-related goals, 92% stated easier patient-physician communications).

Conclusion

Comprehensive aggregation of clinical data from distributed sources in a modern, GDPR-compliant cloud platform can improve physicians’ and patients’ knowledge of the disease status and comorbidities as well as patients’ management. It empowers patients to monitor and positively contribute to their disease management. Effects on patients’ outcome, behavior, and changes in the health care systems should be explored by implementing ICT-based platforms enriched by upcoming Artificial Intelligence features where possible.

Trial registration

DRKS—German Clinical Trials Register, DRKS00013637, prospectively registered. 17 January 2018.

Use of eHealth by Patients With Rheumatoid Arthritis: Observational, Cross-sectional, Multicenter Study

Background

The use of eHealth tools (eg, the internet, mobile apps, and connected devices) in the management of chronic diseases and for rheumatoid arthritis is growing. eHealth may improve the overall quality of care provided to patients with chronic diseases.

Objective

The primary objective of this study was to describe eHealth use by patients with rheumatoid arthritis in France. The secondary objectives were to identify associations between patient demographics and disease characteristics and the use of eHealth tools, and assess their expectations of eHealth.

Methods

In this cross-sectional, multicenter study, patients with rheumatoid arthritis, according to the 2010 ACR/EULAR classification criteria, were recruited from 5 university hospitals (Bordeaux, Clermont-Ferrand, Limoges, Montpellier, and Toulouse). Patients completed an anonymous self-questionnaire, including demographic data, evaluating their eHealth use (ie, access, support, frequency of use, type of use, and reason for use). The rheumatologist in charge of each patient completed an independent medical questionnaire on disease characteristics, activity of rheumatoid arthritis, and treatments. Data were collected between December 2018 and July 2019.

Results

Questionnaires were completed by 575 participants, with a mean age of 62 (SD 13) years, 447 (77.7%) of whom were female. Overall, 82.2% (473/575) of the participants had access to eHealth through a computer (402/467, 86.1%), tablet (188/467, 40.2%), or smartphone (221/467, 47.3%). Of these, 36.4% (170/467) of the participants used the internet for health in general, and 28.7% (134/467) used it specifically for rheumatoid arthritis–related reasons. All these 134 patients used eHealth to learn about disease pathology, and 66.4% (89/134) of them used it as a tool to help monitor rheumatoid arthritis. Most patients (87/125, 69.6%) had a paper file, 19.2% (24/125) used a digital tool (spreadsheets, 10/125, 8%; mobile app, 9/125, 7.2%; or website, 5/125, 4%), and 24.8% (31/125) did not use any tools for monitoring. Few patients (16/125, 12.8%) used tools for treatment reminders. About 21.6% (27/125) of the patients using eHealth used a specific app for rheumatoid arthritis. Univariate analysis showed that age, education level, employment status, treatment, comorbidities, membership of a patient association, and patient education program were associated with eHealth use for rheumatoid arthritis. Multivariate analysis showed that membership of a patient association (odds ratio [OR] 5.8, 95% CI 3.0-11.2), use of biologic disease-modifying antirheumatic drugs (OR 0.6, 95% CI 0.4-1.0), and comorbidities (OR 0.7, 95% CI 0.6-0.8) remained associated with eHealth use for rheumatoid arthritis. Recommendation by a doctor (225/330, 68.2%), ease of use (105/330, 31.8%), and data security (69/330, 20.9%) were factors favoring the use of eHealth.

Conclusions

To date, few patients have used eHealth for disease management. The use of a reliable and validated eHealth tool for rheumatoid arthritis could therefore be promoted by rheumatologists and could optimize therapeutic adherence.

Patient Reported Outcomes in Large Vessel Vasculitides

Purpose of Review

The goal of this paper is to review current and future uses of patient-reported outcomes in large vessel vasculitis. The large vessel vasculitides comprise Giant Cell Arteritis and Takayasu arteritis; both are types of systemic vasculitis which affect the larger blood vessels. Patient-reported outcomes (PROs) capture the impact of these diseases on health-related quality of life.

Recent Findings

Generic PROs such as the SF-36 are currently used to compare HRQOL of people with GCA and TAK within clinical trials and observational studies and to make comparisons with the general population and HRQoL in other diseases. The development of a disease-specific PRO for GCA is currently underway. Beyond clinical trials, there is much interest in the use of PROs within routine clinical care, particularly E-PROs for remote use.

Summary

Further work will be needed to complete the development of disease-specific PROs for people with large vessel vasculitis and to establish feasibility, acceptability, and utility of E-PROs.

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.

Wearable Activity Trackers in the Management of Rheumatic Diseases: Where Are We in 2020?

In healthcare, physical activity can be monitored in two ways: self-monitoring by the patient himself or external monitoring by health professionals. Regarding self-monitoring, wearable activity trackers allow automated passive data collection that educate and motivate patients. Wearing an activity tracker can improve walking time by around 1500 steps per day. However, there are concerns about measurement accuracy (e.g., lack of a common validation protocol or measurement discrepancies between different devices). For external monitoring, many innovative electronic tools are currently used in rheumatology to help support physician time management, to reduce the burden on clinic time, and to prioritize patients who may need further attention. In inflammatory arthritis, such as rheumatoid arthritis, regular monitoring of patients to detect disease flares improves outcomes. In a pilot study applying machine learning to activity tracker steps, we showed that physical activity was strongly linked to disease flares and that patterns of physical activity could be used to predict flares with great accuracy, with a sensitivity and specificity above 95%. Thus, automatic monitoring of steps may lead to improved disease control through potential early identification of disease flares. However, activity trackers have some limitations when applied to rheumatic patients, such as tracker adherence, lack of clarity on long-term effectiveness, or the potential multiplicity of trackers.

Patient and clinician perspectives on a patient-facing dashboard that visualizes patient reported outcomes in rheumatoid arthritis

BACKGROUND

Poor patient-clinician communication around patient-reported outcomes (PROs) is a barrier to the effective management of rheumatoid arthritis (RA). We aimed to develop an RA 'dashboard' that could facilitate conversations about PROs and that would be acceptable to a wide range of patients, including English and Spanish speakers and patients with adequate or limited health literacy.

METHODS

A diverse group of RA patients along with clinicians from two academic rheumatology clinics joined separate focus groups. We solicited feedback and made iterative changes to mock-ups of an RA dashboard that visualized PROs using a human-centred design process. We used the thematic analysis method to identify and characterize themes from the focus groups and used these insights to refine the dashboard.

RESULTS

We conducted six focus groups involving 25 RA patients and three groups with 11 clinicians. Patients and clinicians agreed that the dashboard could enhance communication about PROs and RA disease activity and could promote patient self-management. Patients varied in their (a) comprehension, (b) preferences for the display and features of the dashboard, and (c) desired uses for the dashboard. Clinicians expressed significant concerns about the logistics of using the dashboard in clinical practice.

CONCLUSION

Using principles of human-centred design, we created an RA dashboard that was well-accepted among patients and clinicians. The ability to customize the data display is important for tailoring the dashboard to patients with diverse needs and preferences. Special attention should be given to feasibility concerns voiced by clinicians.

Patients' reasons for non-use of digital patient-reported outcome concepts: A scoping review

Data from digitally administered patient reported outcomes (PROs) is used more and more in routine healthcare for long-term conditions as a part of daily clinical practice. This literature study reviews empirical studies of digital PRO to examine patients' reasons for non-use of digitally administered PRO data in routine care. This scoping review searched through PubMed, Embase, Web of Science and PsycINFO databases, reporting on study population, intervention, duration of intervention and motivational factors alongside stated reasons for nonparticipation or dropout for each study. The patients' reasons for not participating, either from study start or by dropout, were analysed through a thematic approach.Fifty-one studies were included, published from 2010 to 2019, mostly from Europe and the Unites States covering different long-term conditions. The reasons for non-use are manifold and cover the themes of ability to use PRO, engagement, emotional distress and technical barriers.Several reasons are given explaining why patients with long-term conditions are not using digitally administered PRO as intended. This should be taken into account in the design phase of digital PRO interventions and considered in conversations with patients during the intervention.

Physician-patient interaction and medication adherence in lupus nephritis

OBJECTIVE

The quality of physician-patient interaction can have a significant impact on medication adherence. Little is known about this relationship in patients with lupus nephritis.

METHODS

A cross-sectional, quantitative study. Data collected included demographics, current medication, systemic lupus erythematosus disease activity index, medication adherence, beliefs about medicines, shared decision-making, patient-doctor depth of relationship, patient-doctor quality of relationship, interpersonal trust in a physician and illness perceptions.

RESULTS

Ninety-eight patients with lupus nephritis completed the questionnaires. Logistic regression indicated that medication adherence was significantly predicted by (a) interpersonal trust in a physician (B = 0.85, Wald 3.94, 95% confidence interval (CI) 1.01, 5.44; P = 0.05); (b) timeline cyclical (B = -0.89, Wald 4.95, 95% CI 0.19, 0.90; P < 0.05) and beliefs about the necessity of medicines (B = 0.75, Wald 4.14, 95% CI 1.03, 4.38; P < 0.05). Mediation analysis showed that beliefs about the necessity of medicines significantly mediated the relationship between trust and medication adherence when adjusted for age (B = 0.48, 95% CI 0.06, 1.08; P < 0.01). A further mediation analysis showed that patient-doctor depth of relationship (B = 0.05, 95% CI 0.01, 0.09; P < 0.001), shared decision-making (B = 0.07, 95% CI 0.01, 0.13; P < 0.001) and patient-doctor quality of relationship (B = 0.08, 95% CI 0.01, 0.16; P < 0.001) significantly mediated the relationship between illness coherence and interpersonal trust in a physician.

CONCLUSION

The findings highlighted two key elements: (a) the importance of trust in relation to medication adherence; and (b) a good understanding of patients' illness is linked to a better relationship with their doctor and greater participation in shared decision-making which is associated with increased trust. Tailored psycho-educational interventions could contribute to improving the patient-doctor relationship quality, trust and increased shared decision-making, which, in turn, might improve medication adherence in patients with lupus nephritis.

High-quality RMD rehabilitation and telehealth: Evidence and clinical practice

Within rheumatology, telehealth is essential to modern rehabilitation due to the demographic development with more and more elderly people. At present, telehealth solutions are used as part of the rehabilitation process in assessment, interventions and evaluation. Telehealth interventions are as effective as conventional follow-ups or self-management assessments, but the evidence on the effect is still sparse. Telehealth interventions seem to support a physically active lifestyle in the short term. In general, telehealth solutions are well received by patients, but the development must be based on user involvement, behaviour theory and the World Health Organisation principles of creating health literate organisations in order to ensure usability, effectiveness and further implementation.

Effects of a Proactive Interdisciplinary Self-Management Program on Patient Self-Efficacy and Participation During Practice Nurse Consultations: A Randomized Controlled Trial in Type 2 Diabetes

Background

Nowadays, patients with chronic conditions such as type 2 diabetes mellitus (T2DM) need and want to be more active participants in their health care. This study aimed to investigate the effects of the Proactive Interdisciplinary Self-Management (PRISMA) training program on participation during consultations with practice nurses and self-efficacy of patients with T2DM in general practice.

Methods

Within a randomized controlled trial, patients were followed for 6 months. They received either PRISMA in addition to usual care or usual care only. Self-efficacy was assessed using the 5-item Perceived Efficacy in Patient-Physician Interactions (PEPPI-5) scale. Consultations were video-recorded and analyzed using the Roter interaction analysis system. Multilevel analysis was carried out.

Results

No differences in the PEPPI-5 were found between the intervention (n = 101) and control groups (n = 102) (U = 1,737.5, z = -0.2, P = 0.8). In addition, the groups did not differ in patient participation. However, patients who attended the PRISMA program expressed more counselling utterances (B = 0.22; standard error (SE) = 0.09).

Conclusions

PRISMA did not result in higher self-efficacy or patient participation during the consultation with practice nurses at 6 months. Possibly, two training sessions are insufficient and a more powerful intervention might be needed. However, the study showed indications that patients counselled themselves more frequently during the consultation. Practice nurses could stimulate patients who are already engaged in self-counselling by further specifying their goals of behavior change.

Lyme snap: A feasibility study of on-line declarations of erythema migrans in a rural area of France

The incidence of Lyme borreliosis remains a matter of debate, but it can be estimated using the incidence of erythema migrans (EM), which is pathognomonic of the first phase. The aim of this prospective pilot study was to assess the feasibility of the on-line declaration of EM in rural areas where the incidence of Lyme borreliosis was previously estimated at 85 per 100,000 inhabitants per year. The study was limited to a rural area (Les Combrailles, Auvergne) of approximately 52,800 inhabitants and was preceded by an information campaign for the inhabitants and the healthcare professionals. Patients who sent a photo of the suspected EM by email or MMS message between April 2017 and April 2018 and who accepted to answer a questionnaire were included in the study. Two physicians then evaluated the quality of the photographs and the probability of EM. In parallel, the number of EM seen by physicians and pharmacists in the area over the given period was recorded. Out of the 113 emails and MMS messages received, 73 people were outside of the trial area or period and 9 did not complete the questionnaire. The photos of the remaining 31 people were analysed. The median age was 51.5 years old ([38-58] IQR) and 18 (58%) were women. Seven people (25%) stated that they did not have a smartphone and in 9 cases (29%) the photo was sent by a third party. The quality of the photos was considered very good in 22 (71%) cases, good in 7 (23%) cases, and average in 2 (6%) cases. The probability of EM was determined to be strong or possible in 12 (38%) cases, i.e. an estimated incidence of 22.7 per 100,000 inhabitants. Over the study period, 40 physicians and 20 pharmacists were contacted on a monthly basis. A median of 5 physicians [3;7] and 4 pharmacists [3 ;7] answered each month for a total of 18 and 36 declared EM respectively. The EM (strong probability/possible) collected by on-line declaration and those declared by healthcare professionals were all sent between April and October 2017. The total time spent on the information campaign and collection has been estimated at 265 h (divided between 10 people) for an overall cost of 10,669 Euros. The incidence of EM recorded by on-line self-declaration in our study seems to be lower than in previous studies, the under-reporting was probably linked to the low use of new technologies in the rural areas. Increasing the human resources and finances appears difficult to achieve in practice over a longer time period but the development of an application for the automatic recognition of EM could be one method for a more exhaustive collection in the long term and at lower cost.

EULAR points to consider for the development, evaluation and implementation of mobile health applications aiding self-management in people living with rheumatic and musculoskeletal diseases

Background

Mobile health applications (apps) are available to enable people with rheumatic and musculoskeletal diseases (RMDs) to better self-manage their health. However, guidance on the development and evaluation of such apps is lacking.

Objectives

The objective of this EULAR task force was to establish points to consider (PtC) for the development, evaluation and implementation of apps for self-management of RMDs.

Methods

A systematic literature review of app content and development strategies was conducted, followed by patient focus group and an online survey. Based on this information and along with task force expert opinion, PtC were formulated in a face-to-face meeting by a multidisciplinary task force panel of experts, including two patient research partners. The level of agreement among the panel in regard to each PtC was established by anonymous online voting.

Results

Three overarching principles and 10 PtC were formulated. Three PtC are related to patient safety, considered as a critical issue by the panel. Three are related to relevance of the content and functionalities. The requirement for transparency around app development and funding sources, along with involvement of relevant health professionals, were also raised. Ease of app access across ages and abilities was highlighted, in addition to considering the cost benefit of apps from the outset. The level of agreement was from 8.8 to 9.9 out of 10.

Conclusion

These EULAR PtC provide guidance on important aspects that should be considered for the development, evaluation and implementation of existing and new apps.

Effects of Sarilumab on Rheumatoid Arthritis as Reported by Patients Using the Rheumatoid Arthritis Impact of Disease Scale

OBJECTIVE

We evaluated the effect of sarilumab on patient-perceived impact of rheumatoid arthritis (RA) using the 7-domain RA Impact of Disease (RAID) scale.

METHODS

Two phase III, randomized, controlled trials of sarilumab in patients with active, longstanding RA were analyzed: (1) sarilumab 150 mg and 200 mg every 2 weeks plus conventional synthetic disease-modifying antirheumatic drugs (+csDMARD) versus placebo + csDMARD [TARGET (NCT01709578)]; and (2) sarilumab 200 mg versus adalimumab (ADA) 40 mg monotherapy [MONARCH (NCT02332590)]. Least-squares mean (LSM) differences in RAID total score (range 0-10) and 7 key RA symptoms, including pain and fatigue (baseline to Weeks 12 and 24), were compared. "Responders" by RAID total score were defined by improvements from baseline ≥ minimal clinically important difference (MCID), and ≥ patient-acceptable symptom-state (PASS) at endpoint.

RESULTS

Sarilumab 150 mg and 200 mg + csDMARD were nominally superior (p < 0.05) versus placebo + csDMARD and 200 mg sarilumab versus ADA 40 mg in LSM differences for RAID total score at weeks 12 (-0.93 and -1.13; -0.49, respectively) and 24 (-0.75 and -1.01; -0.78), and all effects of RA (except functional impairment in MONARCH Week 12). Effects were greater in physical domains (e.g., pain) than mental domains (e.g., emotional well-being). More patients receiving sarilumab versus placebo or ADA reported improvements ≥ MCID and PASS in total RAID scores at both assessments.

CONCLUSION

Based on the RAID, sarilumab + csDMARD or as monotherapy reduced the effect of RA on patients' lives to a greater extent than placebo + csDMARD or ADA monotherapy. (ClinicalTrials.gov: NCT01709578 and NCT02332590).

Diagnostic Efficacy and Therapeutic Decision-making Capacity of an Artificial Intelligence Platform for Childhood Cataracts in Eye Clinics: A Multicentre Randomized Controlled Trial

BACKGROUND

CC-Cruiser is an artificial intelligence (AI) platform developed for diagnosing childhood cataracts and providing risk stratification and treatment recommendations. The high accuracy of CC-Cruiser was previously validated using specific datasets. The objective of this study was to compare the diagnostic efficacy and treatment decision-making capacity between CC-Cruiser and ophthalmologists in real-world clinical settings.

METHODS

This multicentre randomized controlled trial was performed in five ophthalmic clinics in different areas across China. Pediatric patients (aged ≤ 14 years) without a definitive diagnosis of cataracts or history of previous eye surgery were randomized (1:1) to receive a diagnosis and treatment recommendation from either CC-Cruiser or senior consultants (with over 5 years of clinical experience in pediatric ophthalmology). The experts who provided a gold standard diagnosis, and the investigators who performed slit-lamp photography and data analysis were blinded to the group assignments. The primary outcome was the diagnostic performance for childhood cataracts with reference to cataract experts' standards. The secondary outcomes included the evaluation of disease severity and treatment determination, the time required for the diagnosis, and patient satisfaction, which was determined by the mean rating. This trial is registered with ClinicalTrials.gov (NCT03240848).

FINDINGS

Between August 9, 2017 and May 25, 2018, 350 participants (700 eyes) were randomly assigned for diagnosis by CC-Cruiser (350 eyes) or senior consultants (350 eyes). The accuracies of cataract diagnosis and treatment determination were 87.4% and 70.8%, respectively, for CC-Cruiser, which were significantly lower than 99.1% and 96.7%, respectively, for senior consultants (p < 0.001, OR = 0.06 [95% CI 0.02 to 0.19]; and p < 0.001, OR = 0.08 [95% CI 0.03 to 0.25], respectively). The mean time for receiving a diagnosis from CC-Cruiser was 2.79 min, which was significantly less than 8.53 min for senior consultants (p < 0.001, mean difference 5.74 [95% CI 5.43 to 6.05]). The patients were satisfied with the overall medical service quality provided by CC-Cruiser, typically with its time-saving feature in cataract diagnosis.

INTERPRETATION

CC-Cruiser exhibited less accurate performance comparing to senior consultants in diagnosing childhood cataracts and making treatment decisions. However, the medical service provided by CC-Cruiser was less time-consuming and achieved a high level of patient satisfaction. CC-Cruiser has the capacity to assist human doctors in clinical practice in its current state.

FUNDING

National Key R&D Program of China (2018YFC0116500) and the Key Research Plan for the National Natural Science Foundation of China in Cultivation Project (91846109).

Quality improvement initiatives in rheumatology: an integrative review of the last 5 years

PURPOSE OF REVIEW

We reviewed recent quality improvement initiatives in the field of rheumatology to identify common strategies and themes leading to measurable change.

RECENT FINDINGS

Efforts to improve quality of care in rheumatology have accelerated in the last 5 years. Most studies in this area have focused on interventions to improve process measures such as increasing the collection of patient-reported outcomes and vaccination rates, but some studies have examined interventions to improve health outcomes. Increasingly, researchers are studying electronic health record (EHR)-based interventions, such as standardized templates, flowsheets, best practice alerts and order sets. EHR-based interventions were most successful when reinforced with provider education, reminders and performance feedback. Most studies also redesigned workflows, distributing tasks among clinical staff. Given the common challenges and solutions facing rheumatology clinics under new value-based payment models, there are important opportunities to accelerate quality improvement by building on the successful efforts to date. Structured quality improvement models such as the learning collaborative may help to disseminate successful initiatives across practices.

SUMMARY

Review of recent quality improvement initiatives in rheumatology demonstrated common solutions, particularly involving leveraging health IT and workflow redesign.

Comparing patient-perceived and physician-perceived remission and low disease activity in psoriatic arthritis: an analysis of 410 patients from 14 countries

Background

The objective was to compare different definitions of remission and low disease activity (LDA) in patients with psoriatic arthritis (PsA), based on both patients’ and physicians’ perspectives.

Methods

In ReFlap (Remission/Flare in PsA; NCT03119805), adults with physician-confirmed PsA and >2 years of disease duration in 14 countries were included. Remission was defined as very low disease activity (VLDA), Disease Activity index for PSoriatic Arthritis (DAPSA) ≤4, and physician-perceived and patient-perceived remission (specific question yes/no), and LDA as minimal disease activity (MDA), DAPSA <14, and physician-perceived and patient-perceived LDA. Frequencies of these definitions, their agreement (prevalence-adjusted kappa), and sensitivity and specificity versus patient-defined status were assessed cross-sectionally.

Results

Of 410 patients, the mean age (SD) was 53.9 (12.5) years, 50.7% were male, disease duration was 11.2 (8.2) years, 56.8% were on biologics, and remission/LDA was frequently attained: respectively, for remission from 12.4% (VLDA) to 36.1% (physician-perceived remission), and for LDA from 25.4% (MDA) to 43.9% (patient-perceived LDA). Thus, patient-perceived remission/LDA was frequent (65.4%). Agreement between patient-perceived remission/LDA and composite scores was moderate to good (kappa range, 0.12–0.65). When patient-perceived remission or LDA status is used as reference, DAPSA-defined remission/LDA and VLDA/MDA had a sensitivity of 73.1% and 51.5%, respectively, and a specificity of 76.8% and 88.0%, respectively. Physician-perceived remission/LDA using a single question was frequent (67.6%) but performed poorly against other definitions.

Conclusion

In this unselected population, remission/LDA was frequently attained. VLDA/MDA was a more stringent definition than DAPSA-based remission/LDA. DAPSA-based remission/LDA performed better than VLDA/MDA to detect patient-defined remission or remission/LDA. Further studies of long-term outcomes are needed.

A Novel Mobile App and Population Management System to Manage Rheumatoid Arthritis Flares: Protocol for a Randomized Controlled Trial

Background

Rheumatoid arthritis flares have a profound effect on patients, causing pain and disability. However, flares often occur between regularly scheduled health care provider visits and are, therefore, difficult to monitor and manage. We sought to develop a mobile phone app combined with a population management system to help track RA flares between visits.

Objective

The objective of this study is to implement the mobile app plus the population management system to monitor rheumatoid arthritis disease activity between scheduled health care provider visits over a period of 6 months.

Methods

This is a randomized controlled trial that lasts for 6 months for each participant. We aim to recruit 190 patients, randomized 50:50 to the intervention group versus the control group. The intervention group will be assigned the mobile app and be prompted to answer daily questionnaires sent to their mobile devices. Both groups will be assigned a population manager, who will communicate with the participants via telephone at 6 weeks and 18 weeks. The population manager will also communicate with the participants in the intervention group if their responses indicate a sustained increase in rheumatoid arthritis disease activity. To assess patient satisfaction, the primary outcomes will be scores on the Treatment Satisfaction Questionnaire for Medication as well as the Perceived Efficacy in Patient-Physician Interactions questionnaire at 6 months. To determine the effect of the mobile app on rheumatoid arthritis disease activity, the primary outcome will be the Clinical Disease Activity Index at 6 months.

Results

The trial started in November 2016, and an estimated 2.5 years will be necessary to complete the study. Study results are expected to be published by the end of 2019.

Conclusions

The completion of this study will provide important data regarding the following: (1) the assessment of validated outcome measures to assess rheumatoid arthritis disease activity with a mobile app between routinely scheduled health care provider visits, (2) patient engagement in monitoring their condition, and (3) communication between patients and health care providers through the population management system.

Trial Registration

ClinicalTrials.gov NCT02822521, http://clinicaltrials.gov/ct2/show/NCT02822521 (Archived by WebCite at http://www.webcitation.org/6xed3kGPd)