Monitoring rheumatoid arthritis using an algorithm based on patient-reported outcome measures: a first step towards personalised healthcare

Responsiveness and sensitivity of PROMs to change in disease activity status in early and established rheumatoid arthritis

OBJECTIVES

To determine whether patient-reported outcome measures (PROMs) capturing activity limitations, health impact, pain, fatigue and work ability are responsive and sensitive to changes in disease activity status in patients with early and established RA.

METHODS

All early RA patients (n = 557) from the tREACH trial and established RA patients (n = 188) from the TARA trial were included. Both studies were multicentre, single-blinded trials with a treat-to-target management approach. The following PROMs were studied: HAQ Disability Index (HAQ-DI), morning stiffness severity, EQ-5D, general health, 36-item short form (SF-36), joint pain, fatigue and productivity loss. Mean changes in PROMs between two consecutive visits were compared with changes in disease activity status (remission, low disease activity and active disease) using linear mixed models and standardized response means. Additionally, the proportion of individual observations that showed an expected PROM response to disease activity status alterations was calculated.

RESULTS

HAQ-DI, morning stiffness severity, general health, EQ-5D and joint pain demonstrated responsiveness to improvement or worsening of disease activity status in both early and established RA. SF-36 physical and mental component scale, fatigue and productivity loss did not show this effect in both groups. Across nearly all PROMs, the magnitude of change and the proportion of individual observations that reflect a shift from and to active disease remained low.

CONCLUSION

HAQ-DI, morning stiffness severity, EQ-5D, general health and joint pain are responsive to disease activity status alterations on a group level in both early and established RA. For the individual patient the responsiveness of these PROMs is poor.

CLINICAL TRIAL REGISTRATION

tREACH trial (www.isrctn.com, ISRCTN26791028) and TARA trial (www.onderzoekmetmensen.nl, NTR2754).

Combining patient-reported outcome measures to screen for active disease in rheumatoid arthritis and psoriatic arthritis

OBJECTIVES

To investigate whether a combination of general health (Visual Analogue Scale (VAS)), Health Assessment Questionnaire-Disability Index (HAQ-DI), pain (VAS/Numerical Rating Scale (NRS)), quality of life (EQ-5D), fatigue (VAS/NRS) and presenteeism (0%-100% productivity loss) could aid as a screening tool to detect active disease in patients with rheumatoid arthritis (RA) and psoriatic arthritis (PsA).

METHODS

RA patients from the tREACH trial and TARA trial (n=683) and PsA patients from the DEPAR cohort (n=525) were included. The association of a deterioration in the aforementioned patient-reported outcome measure (PROM) scores between two consecutive visits and having active disease was assessed. Active disease was defined as a change from disease activity score (DAS) ≤2.4 to DAS >2.4 in RA or Disease Activity Index in Psoriatic Arthritis (DAPSA) ≤14 to DAPSA >14 in PsA. The area under the curve (AUC) of the sum score of deteriorated PROMs was evaluated.

RESULTS

4594 RA and 1154 PsA visits were evaluated and active disease occurred in 358 (8%) RA and 177 (15%) PsA visits. In both RA and PsA, a deterioration in general health (VAS), HAQ-DI, EQ-5D and pain (VAS/NRS) was significantly associated with active disease. The combination of these PROMs showed acceptable to excellent discriminative ability (RA AUC=0.76, PsA AUC=0.85). If a cut-point of ≥1 deteriorated PROMs is used, 40% of the visits in which RA patients have remission or low disease activity are correctly specified (specificity of 40%), while 10% of visits with active disease are overlooked (sensitivity of 90%). In PsA, these percentages are 41% and 4%, respectively.

CONCLUSION

A combination of general health, HAQ-DI, EQ-5D and pain could aid as a screening tool for active disease in patients with RA and PsA. These data could help facilitate remote monitoring of RA and PsA patients in the future.

TRIAL REGISTRATION NUMBERS

ISRCTN26791028, NTR2754.

At-home blood self-sampling in rheumatology: a qualitative study with patients and health care professionals

BACKGROUND

The goal of the study was to investigate patients' with systemic rheumatic diseases and healthcare professionals' experiences and preferences regarding self-sampling of capillary blood in rheumatology care.

METHODS

Patients performed a supervised and consecutive unsupervised capillary blood self-collection using an upper arm based device. Subsequently, patients (n = 15) and their attending health care professionals (n = 5) participated in an explorative, qualitative study using problem-centered, telephone interviews. Interview data were analyzed using structured qualitative content analysis.

RESULTS

Interviewed patients reported easy application and high usability. Patients and health care professionals alike reported time and cost savings, increased independence and flexibility, improved monitoring and reduction of risk of infection during Covid-19 as benefits. Reported drawbacks include limited blood volume, limited usability in case of functional restrictions, and environmental concerns. Older, immobile patients with long journeys to traditional blood collection sites and young patients with little time to spare for traditional blood collection appointments could be user groups, likely to benefit from self-sampling services.

CONCLUSIONS

At-home blood self-sampling could effectively complement current rheumatology telehealth care. Appropriateness and value of this service needs to be carefully discussed with patients on an individual basis.

TRIAL REGISTRATION

WHO International Clinical Trials Registry: DRKS00024925. Registered on 15/04/2021.

Telemedicine for patients with rheumatic and musculoskeletal diseases during the COVID-19 pandemic; a positive experience in the Netherlands

To describe the delivery of care for patients with rheumatic and musculoskeletal diseases (RMDs) from the perspective of rheumatologists in the Netherlands during the first months of the COVID-19 pandemic. A mixed methods design was used with quantitative and qualitative data from a cross-sectional survey sent to all members of the Dutch Rheumatology Society in May 2020. The survey contained questions on demographics, the current way of care delivery, and also on usage, acceptance, facilitators and barriers of telemedicine. Quantitative data were analyzed descriptively. The answers to the open questions were categorized into themes. Seventy-five respondents completed the survey. During the COVID-19 pandemic, continuity of care was guaranteed through telephone and video consultations by 99% and 9% of the respondents, respectively. More than 80% of the total number of outpatient visits were performed exclusively via telephone with in-person visits only on indication. One-quarter of the respondents used patient reported outcomes to guide telephone consultations. The top three facilitators for telemedicine were less travel time for patients, ease of use of the system and shorter waiting period for patients. The top three barriers were impossibility to perform physical examination, difficulty estimating how the patient is doing and difficulty in reaching patients. During the COVID-19 epidemic, care for patients with RMDs in the Netherlands continued uninterrupted by the aid of telemedicine. On average, respondents were content with current solutions, although some felt insecure mainly because of the inability to perform physical examination and missing nonverbal communication with their patients.

Telemedicine in the management of rheumatoid arthritis: maintaining disease control with less health-care utilization

Objectives

We aimed to evaluate the use of an eHealth platform and a self-management outpatient clinic in patients with RA in a real-world setting. The effects on health-care utilization and disease activity were studied.

Methods

Using hospital data of patients with RA between 2014 and 2019, the use of an eHealth platform and participation in a self-management outpatient clinic were studied. An interrupted time series analysis compared the period before and after the introduction of the eHealth platform. The change in trend (relative to the pre-interruption trend) for the number of outpatient clinic visits and the DAS for 28 joints (DAS28) were determined for several scenarios.

Results

After implementation of the platform in April 2017, the percentage of patients using it was stable at ∼37%. On average, the users of the platform were younger, more highly educated and had better health outcomes than the total RA population. After implementation of the platform, the mean number of quarterly outpatient clinic visits per patient decreased by 0.027 per quarter (95% CI: -0.045, -0.08, P = 0.007). This was accompanied by a significant decrease in DAS28 of 0.056 per quarter (95% CI: -0.086, -0025, P = 0.001). On average, this resulted in 0.955 fewer visits per patient per year and a reduction of 0.503 in the DAS28.

Conclusion

The implementation of remote patient monitoring has a positive effect on health-care utilization, while maintaining low disease activity. This should encourage the use of this type of telemedicine in the management of RA, especially while many routine outpatient clinic visits are cancelled owing to COVID-19.

Patients' experiences regarding self-monitoring of the disease course: an observational pilot study in patients with inflammatory rheumatic diseases at a rheumatology outpatient clinic in The Netherlands

OBJECTIVES

Self-monitoring the disease course is a relatively new concept in the management of patients with inflammatory rheumatic diseases (IRDs). The aims of this pilot study were to obtain patients' experiences with online self-monitoring, to assess information about the agreement between the disease course assessed with patient-reported outcome measures (PROMs) and an objectively measured Disease Activity Score 28 (DAS28) by the rheumatologist, and to assess adherence to predetermined PROM frequency intervals.

DESIGN

Observational study using qualitative and quantitative methods.

SETTING

The rheumatology outpatient clinic of a teaching hospital in The Netherlands (secondary care).

PARTICIPANTS

47 patients with an IRD who regularly attended the outpatient clinic.

METHODS

Patients completed PROMs by using an online self-monitoring program. Their experiences regarding self-monitoring were qualitatively assessed through a focus group discussion and telephone interviews using a thematic analysis approach. Adherence to the predefined PROM frequency (completed PROM assessments within the predetermined frequency) and the agreement between the DAS28 course and PROM values (Rheumatoid Arthritis Disease Activity Index-5 and the Rheumatoid Arthritis Impact of Disease (RAID)) were quantitatively assessed using descriptives.

RESULTS

Forty-seven patients participated, most of them diagnosed with rheumatoid arthritis (n=38, 80.9%). Three themes were identified: knowledge about and insight into the disease (activity), patient-professional interaction and functionality of the program. Mean adherence to the predetermined PROM frequency was 68.1%. The RAID showed the best agreement with the DAS28 course. Mean participation time was 350 days.

CONCLUSION

Patients were predominantly positive about online self-monitoring. They indicated that they gained more knowledge about their disease, felt less dependent on the healthcare professional and valued the insight into their long-term disease course. Barriers were mostly related to technical factors. Patients were able to and willing to self-monitor their disease, which could contribute to a more efficient allocation of outpatient consultations in the future.

Acceptance, Usage, and Barriers of Electronic Patient-Reported Outcomes Among German Rheumatologists: Survey Study

Background

The use of patient-reported outcomes (PROs) allows for patient-centered, measurable, and transparent care. Electronic PROs (ePROs) have many benefits and hold great potential to improve current usage of PROs, yet limited evidence exists regarding their acceptance, usage, and barriers among rheumatologists.

Objective

This study aims to evaluate the current level of acceptance, usage, and barriers among German rheumatologists regarding the use of ePROs. The importance of different ePRO features for rheumatologists was investigated. Additionally, the most frequently used PROs for patients with rheumatoid arthritis (RA) were identified.

Methods

Data were collected via an online survey consisting of 18 questions. The survey was completed by members of the Working Group Young Rheumatology of the German Society for Rheumatology (Arbeitsgemeinschaft Junge Rheumatologie der Deutschen Gesellschaft für Rheumatologie [DGRh]) at the 2019 annual DGRh conference. Only members currently working in clinical adult rheumatology were eligible to complete the survey.

Results

A total of 119 rheumatologists completed the survey, of which 107 (89.9%) reported collecting PROs in routine practice and 28 (25.5%) already used ePROs. Additionally, 44% (43/97) were planning to switch to ePROs in the near future. The most commonly cited reason for not switching was the unawareness of suitable software solutions. Respondents were asked to rate the features of ePROs on a scale of 0 to 100 (0=unimportant, 100=important). The most important features were automatic score calculation and display (mean 77.50) and simple data transfer to medical reports (mean 76.90). When asked about PROs in RA, the respondents listed pain, morning stiffness, and patient global assessment as the most frequently used PROs.

Conclusions

The potential of ePROs is widely seen and there is great interest in them. Despite this, only a minority of physicians use ePROs, and the main reason for not implementing them was cited as the unawareness of suitable software solutions. Developers, patients, and rheumatologists should work closely together to help realize the full potential of ePROs and ensure a seamless integration into clinical practice.

Viewpoint on Time Series and Interrupted Time Series Optimum Modeling for Predicting Arthritic Disease Outcomes

PURPOSE OF REVIEW

The propose of this viewpoint is to improve or facilitate the clinical decision-making in the management/treatment strategies of arthritis patients through knowing, understanding, and having access to an interactive process allowing assessment of the patient disease outcome in the future.

RECENT FINDINGS

In recent years, the time series (TS) concept has become the center of attention as a predictive model for making forecast of unseen data values. TS and one of its technologies, the interrupted TS (ITS) analysis (TS with one or more interventions), predict the next period(s) value(s) of a given patient based on their past and current information. Traditional TS/ITS methods involve segmented regression-based technologies (linear and nonlinear), while stochastic (linear modeling) and artificial intelligence approaches, including machine learning (complex nonlinear relationships between variables), are also used; however, each have limitations. We will briefly describe TS/ITS, provide examples of their application in arthritic diseases; describe their methods, challenges, and limitations; and propose a combined (stochastic and artificial intelligence) procedure in post-intervention that will optimize ITS modeling. This combined method will increase the accuracy of ITS modeling by profiting from the advantages of both stochastic and nonlinear models to capture all ITS deterministic and stochastic components. In addition, this combined method will allow ITS outcomes to be predicted as continuous variables without having to consider the time lag produced between the pre- and post-intervention periods, thus minimizing the prediction error not only for the given data but also for all possible future patterns in ITS. The use of reliable prediction methodologies for arthritis patients will permit treatment of not only the disease, but also the patient with the disease, ensuring the best outcome prediction for the patient.

Assessing prognosis and prediction of treatment response in early rheumatoid arthritis: systematic reviews

BACKGROUND

Rheumatoid arthritis (RA) is a chronic, debilitating disease associated with reduced quality of life and substantial costs. It is unclear which tests and assessment tools allow the best assessment of prognosis in people with early RA and whether or not variables predict the response of patients to different drug treatments.

OBJECTIVE

To systematically review evidence on the use of selected tests and assessment tools in patients with early RA (1) in the evaluation of a prognosis (review 1) and (2) as predictive markers of treatment response (review 2).

DATA SOURCES

Electronic databases (e.g. MEDLINE, EMBASE, The Cochrane Library, Web of Science Conference Proceedings; searched to September 2016), registers, key websites, hand-searching of reference lists of included studies and key systematic reviews and contact with experts.

STUDY SELECTION

Review 1 - primary studies on the development, external validation and impact of clinical prediction models for selected outcomes in adult early RA patients. Review 2 - primary studies on the interaction between selected baseline covariates and treatment (conventional and biological disease-modifying antirheumatic drugs) on salient outcomes in adult early RA patients.

RESULTS

Review 1 - 22 model development studies and one combined model development/external validation study reporting 39 clinical prediction models were included. Five external validation studies evaluating eight clinical prediction models for radiographic joint damage were also included. c-statistics from internal validation ranged from 0.63 to 0.87 for radiographic progression (different definitions, six studies) and 0.78 to 0.82 for the Health Assessment Questionnaire (HAQ). Predictive performance in external validations varied considerably. Three models [(1) Active controlled Study of Patients receiving Infliximab for the treatment of Rheumatoid arthritis of Early onset (ASPIRE) C-reactive protein (ASPIRE CRP), (2) ASPIRE erythrocyte sedimentation rate (ASPIRE ESR) and (3) Behandelings Strategie (BeSt)] were externally validated using the same outcome definition in more than one population. Results of the random-effects meta-analysis suggested substantial uncertainty in the expected predictive performance of models in a new sample of patients. Review 2 - 12 studies were identified. Covariates examined included anti-citrullinated protein/peptide anti-body (ACPA) status, smoking status, erosions, rheumatoid factor status, C-reactive protein level, erythrocyte sedimentation rate, swollen joint count (SJC), body mass index and vascularity of synovium on power Doppler ultrasound (PDUS). Outcomes examined included erosions/radiographic progression, disease activity, physical function and Disease Activity Score-28 remission. There was statistical evidence to suggest that ACPA status, SJC and PDUS status at baseline may be treatment effect modifiers, but not necessarily that they are prognostic of response for all treatments. Most of the results were subject to considerable uncertainty and were not statistically significant.

LIMITATIONS

The meta-analysis in review 1 was limited by the availability of only a small number of external validation studies. Studies rarely investigated the interaction between predictors and treatment.

SUGGESTED RESEARCH PRIORITIES

Collaborative research (including the use of individual participant data) is needed to further develop and externally validate the clinical prediction models. The clinical prediction models should be validated with respect to individual treatments. Future assessments of treatment by covariate interactions should follow good statistical practice.

CONCLUSIONS

Review 1 - uncertainty remains over the optimal prediction model(s) for use in clinical practice. Review 2 - in general, there was insufficient evidence that the effect of treatment depended on baseline characteristics.

STUDY REGISTRATION

This study is registered as PROSPERO CRD42016042402.

FUNDING

The National Institute for Health Research Health Technology Assessment programme.

Item reduction of the patient-rated wrist evaluation using decision tree modelling

Background: The aim of this study is to assess the viability of a decision tree version of an often used questionnaire to measure wrist pain and disability, the Patient Rated Wrist Evaluation.Methods: Patient Rated Wrist Evaluation scores were collected from a cohort of 10394 patients who are part of a routine outcome measurement system. A decision tree version of the Patient Rated Wrist Evaluation (PRWE) was created. The intraclass correlation was used to evaluate the inter-version reliability between the original PRWE and the decision tree version.Results: The decision tree reduced the number of questions from 5 to 3 for the pain subscale, and from 10 to 3 for the disability subscale. The intraclass correlation between the original PRWE and the decision tree version was 0.97. The mean difference between the Patient Rated Wrist Evaluation and the decision tree Patient Rated Wrist Evaluation total sumscore was 0.35 (95% CI -9.92-10.62).Conclusions: We found that the decision tree was successful at reducing the items of the Patient Rated Wrist Evaluation from fifteen to only six questions with very high similarity to the scores of the full questionnaire.Implications for rehabilitationThe Patient Rated Wrist Evaluation can reliably be used with 6 instead of 15 questions.Decision trees are useful statistical tools to shorten lengthy questionnaires, especially when large amounts of data are available.Having a shortened Patient Rated Wrist Evaluation saves patients and clinicians time in answering this specific questionnaire.

Comparing patient-reported outcomes entered at home versus at hospital, and testing touch screens for initial recruitment to scientific trials in arthritis patients

OBJECTIVES

Touch screens for entering patient-reported outcomes (PROs) are available at all Danish departments of rheumatology reporting to the nationwide DANBIO registry. This project comprises two substudies in patients with rheumatoid arthritis (RA) or axial spondyloarthritis (AxSpA), aiming to (A) investigate the feasibility of first line patient recruitment for research via touch screens, and (B) compare PROs collected at hospital versus at home, including patient preferences.

METHOD

Substudy A: using a touch screen, patients answered whether we could contact them about a clinical research project (yes/no). Characteristics of patients who accepted/declined were explored using chi-squared and Mann-Whitney U-tests. Substudy B (randomized crossover agreement study): a random sample of patients from the accepting group in substudy A was contacted by telephone. According to prespecified power and sample size estimation, 56 patients were included. After randomization, 50% of patients entered PROs and information on comorbidities and lifestyle from home and then at hospital, and 50% first from hospital and then at home. Finally, they stated their preference for data entry (hospital/home/equally good). Differences in PROs entered from home and in the hospital were compared (limits of agreement, 95% confidence intervals, and intraclass correlation coefficients).

RESULTS

The touch-screen invitation was accepted by 428/952 patients (45%). Patients who accepted and those who declined had similar PROs and demographics. Substudy B was completed by 42 patients (22 RA, 20 AxSpA). They had no significant differences between PROs and lifestyle/comorbidity data entered from home and hospital, except for AxSpA patients on the Bath Ankylosing Spondylitis Functional Index and Bath Ankylosing Spondylitis Disease Activity Index item 5. The preferred method of data entry was hospital (10%), home (50%), and equally good (40%).

CONCLUSION

Touch screens seem feasible for first line research recruitment. PROs collected from home were similar to the touch-screen solution. Patients preferred data entry from home.

Call for action: how to improve use of patient-reported outcomes to guide clinical decision making in rheumatoid arthritis

Current guidelines for the management of rheumatoid arthritis (RA) recommend early treatment and a treat-to-target goal of remission or low disease activity. Over the past decade, this approach has been extremely successful in reducing disease activity and joint damage in patients with RA. At the same time, however, overall patient perception of well-being appears to have decreased with respect to outcome measures considered important by patients themselves, such as pain, fatigue, physical function and quality of life. The timely and effective use of patient-reported outcomes (PROs) could encourage physicians to focus more on the impact of RA on patients and how patients are feeling. This in turn would facilitate shared decision making between patients and physicians, ultimately leading to a more patient-centered approach and improved patient care. Indeed, PROs provide information about individual patients that complements information provided by physical assessment and composite scores, and can also be used to guide patient care, such as determining whether a clinic visit is needed or whether treatment modifications are necessary. This is particularly important for patients who do not achieve the aspirational target of remission or low disease activity with pharmacological treatment. A number of validated PRO questionnaires are available, but how and which PROs should be incorporated into rheumatology clinical practice as part of the decision-making process is still controversial. Combining PROs with technology, such as computer adaptive tests, electronic PRO systems, web-based platforms and patient dashboards, could further aid PRO integration into daily rheumatology clinical practice.

Multidisciplinary Management of Spondyloarthritis-Related Immune-Mediated Inflammatory Disease

Introduction

Immune-mediated inflammatory diseases (IMIDs) are chronic autoimmune conditions that share common pathophysiologic mechanisms. The optimal management of patients with IMIDs remains challenging because the coexistence of different conditions requires the intervention of several specialists. The aim of this study was to develop a series of statements defining overarching principles that guide the implementation of a multidisciplinary approach for the management of spondyloarthritis (SpA)-related IMIDs including SpA, psoriasis, psoriatic arthritis, Crohn’s disease, ulcerative colitis and uveitis.

Methods

A Delphi consensus-based approach was used to identify a core set of statements. The process included development of initial questions by a steering committee, an exhaustive search of the literature using complementary approaches to identify potential statements and two Delphi voting rounds for finalization of the statements.

Results

Consensus was achieved on the related nature of IMIDs, the existence of a high prevalence of multiple IMIDs in a single patient and the fact that a multidisciplinary approach can result in a more extensive evaluation and comprehensive approach to treatment. The goals of a multidisciplinary team should be to increase diagnosis of concomitant IMIDs, improve the decision-making process, and increase patient satisfaction and adherence. Early referral and diagnosis, early recognition of concomitant IMIDs and optimizing treatment to improve patient quality of life are some of the advantages of using multidisciplinary teams. To be effective, a multidisciplinary team should be equipped with the appropriate tools for diagnosis and follow-up, and at a minimum the multidisciplinary team should include a dermatologist, gastroenterologist and rheumatologist; providing psychologic support via a psychologist and involving an ophthalmologist, general practitioners and nurses in multidisciplinary care is also important.

Conclusion

The present Delphi consensus identified a set of overarching principles that may be useful for implementation of a multidisciplinary approach for the management of SpA-related IMIDs.

Funding

Aristea and Hippocrates.

Validity of the rheumatoid arthritis impact of disease (RAID) score and definition of cut-off points for disease activity states in a population-based European cohort of patients with rheumatoid arthritis

OBJECTIVES

To assess the validity of the rheumatoid arthritis impact of disease (RAID) for measuring disease activity of rheumatoid arthritis (RA) and to determine cut-off values for defining the disease activity states.

METHODS

A total of 622 RA patients from an European database have been included. Cross-validation was based on assessment of convergent and discriminant validity. Optimal cut-offs were determined against external criteria by calculating the respective 25th and 75th percentiles mean values of RAID. External criteria included definitions for remission (REM), low disease activity (LDA), moderate disease activity (MDA) and high disease activity (HDA), cut-offs of the 28-joint disease activity score-C-reactive protein (DAS28-CRP) score.

RESULTS

The RAID showed a moderate degree of correlation with respect to DAS28-CRP (rho=0.417; P<0.0001). The receiver operating characteristic (ROC) curves to discriminate the ability of RAID to distinguish patients with active and non-active disease was very good with an area under the curve (AUC) of 0.847 (95% confidence interval [CI]: 0.816 to 0.878; P<0.0001). Based on the distributions of RAID in the different disease activity groups, we propose the following cut-off values for REM: RAID ≤3; for LDA: RAID >3 and ≤4; for MDA: RAID >4 and ≤6; for HDA: RAID >6. Mean RAID differed significantly between patients classified as REM, LDA, MDA or HDA (P=0.001).

CONCLUSIONS

The cut-offs revealed good measurement characteristics in cross-validation analysis, had great discriminatory performance in distinguishing patients with different levels of disease activity and are suited for widespread use in everyday practice application and research.