Perspectives of Rheumatoid Arthritis Patients on Electronic Communication and Patient-Reported Outcome Data Collection: A Qualitative Study

Barriers and facilitators to the uptake of electronic collection and use of patient-reported measures in routine care of older adults: a systematic review with qualitative evidence synthesis

Objective

The aims of this systematic review were to (1) synthesize the available qualitative evidence on the barriers and facilitators influencing implementation of the electronic collection and use of patient-reported measures (PRMs) in older adults' care from various stakeholder perspectives and (2) map these factors to the digital technology implementation framework Non-adoption, Abandonment, challenges to the Scale-up, Spread, Sustainability (NASSS) and behavior change framework Capability, Opportunity, Motivation, Behaviour (COM-B).

Materials and Methods

A search of MEDLINE, CINAHL Plus, and Web of Science databases from 1 January 2001 to 27 October 2021 was conducted and included English language qualitative studies exploring stakeholder perspectives on the electronic collection and use of PRMs in older adults' care. Two authors independently screened studies, conducted data extraction, quality appraisal using the Critical Appraisal Skills Programme (CASP), data coding, assessed confidence in review findings using Grading of Recommendations Assessment, Development, and Evaluation Confidence in the Evidence from Reviews of Qualitative Research (GRADE CERQual), and mapped the findings to NASSS and COM-B. An inductive approach was used to synthesize findings describing the stakeholder perspectives of barriers and facilitators.

Results

Twenty-two studies were included from the 3368 records identified. Studies explored older adult, caregiver, healthcare professional, and administrative staff perspectives. Twenty nine of 34 review findings (85%) were graded as having high or moderate confidence. Key factors salient to older adults related to clinical conditions and socio-cultural factors, digital literacy, access to digital technology, and user interface. Factors salient to healthcare professionals related to resource availability to collect and use PRMs, and value of PRMs collection and use.

Conclusion

Future efforts to implement electronic collection and use of PRMs in older adults' care should consider addressing the barriers, facilitators, and key theoretical domains identified in this review. Older adults are more likely to adopt electronic completion of PRMs when barriers associated with digital technology access, digital literacy, and user interface are addressed. Future research should explore the perspectives of other stakeholders, including those of organizational leaders, digital technology developers and implementation specialists, in various healthcare settings and explore factors influencing implementation of PREMs.

PROSPERO registration number

CRD42022295894.

A Mobile Health Application Integrated in the Electronic Health Record for Rheumatoid Arthritis Patient-Reported Outcomes: A Controlled Interrupted Time-Series Analysis of Impact on Visit Efficiency

OBJECTIVE

Patient-reported outcome (PRO) collection between visits for rheumatoid arthritis (RA) could improve visit efficiency, reducing in-person visits for patients with stable symptoms while facilitating access for those with symptoms. We examined whether a mobile health PRO application integrated in the electronic health record (EHR) could reduce visit volume for those with RA.

METHODS

We developed an application for RA that prompted patients every other day to complete brief PRO questionnaires. Results of the application were integrated into the EHR. We tested the application in a controlled interrupted time-series analysis between 2020 and 2023. Rheumatologists received EHR-based messages based on PRO results recommending the patient receive a visit earlier or later than scheduled. The primary outcome was monthly visit volume during the year before versus the year after initiation.

RESULTS

A total of 150 patients with RA consented and used the application. The median age was 62 years, 83% were female, 7% had fewer than 2 years of disease, and 50% were seropositive; 150 controls were well matched. Among those in the application cohort, the estimated monthly median visit volume in the year before use of the application was 31.2 (95% confidence interval [95% CI] 28.0-34.3); in controls, this was 30.4 (95% CI 27.3-33.6). In the year using the application, the estimated monthly visit volume was 36.8 (95% CI 33.4-40.3) compared to 38.7 (95% CI 35.2-42.3) in controls. The difference in the differences between the cohorts was not statistically significant (-2.7 visits, 95% CI -9.3 to 4.0). No differences were noted in flare rates or visit delays.

CONCLUSION

In this initial trial of a PRO application intervention to improve visit efficiency, we found no association with reduced visit volume.

Patient and Public Willingness to Share Personal Health Data for Third-Party or Secondary Uses: Systematic Review

BACKGROUND

International advances in information communication, eHealth, and other digital health technologies have led to significant expansions in the collection and analysis of personal health data. However, following a series of high-profile data sharing scandals and the emergence of COVID-19, critical exploration of public willingness to share personal health data remains limited, particularly for third-party or secondary uses.

OBJECTIVE

This systematic review aims to explore factors that affect public willingness to share personal health data for third-party or secondary uses.

METHODS

A systematic search of 6 databases (MEDLINE, Embase, PsycINFO, CINAHL, Scopus, and SocINDEX) was conducted with review findings analyzed using inductive-thematic analysis and synthesized using a narrative approach.

RESULTS

Of the 13,949 papers identified, 135 were included. Factors most commonly identified as a barrier to data sharing from a public perspective included data privacy, security, and management concerns. Other factors found to influence willingness to share personal health data included the type of data being collected (ie, perceived sensitivity); the type of user requesting their data to be shared, including their perceived motivation, profit prioritization, and ability to directly impact patient care; trust in the data user, as well as in associated processes, often established through individual choice and control over what data are shared with whom, when, and for how long, supported by appropriate models of dynamic consent; the presence of a feedback loop; and clearly articulated benefits or issue relevance including valued incentivization and compensation at both an individual and collective or societal level.

CONCLUSIONS

There is general, yet conditional public support for sharing personal health data for third-party or secondary use. Clarity, transparency, and individual control over who has access to what data, when, and for how long are widely regarded as essential prerequisites for public data sharing support. Individual levels of control and choice need to operate within the auspices of assured data privacy and security processes, underpinned by dynamic and responsive models of consent that prioritize individual or collective benefits over and above commercial gain. Failure to understand, design, and refine data sharing approaches in response to changeable patient preferences will only jeopardize the tangible benefits of data sharing practices being fully realized.

The Clinical Impact of Electronic Patient-Reported Outcome Measures in the Remote Monitoring of Inflammatory Arthritis: A Systematic Review and Meta-analysis

OBJECTIVE

The inflammatory arthritides (IAs) make up a significant proportion of conditions followed up in rheumatology clinics. These patients require regular monitoring, but this is increasingly difficult with rising patient numbers and demand on clinics. Our objective is to evaluate the clinical impact of electronic patient-reported outcome measures (ePROMs) as a digital remote-monitoring intervention on disease activity, treatment decisions, and health care resource use in patients with IA.

METHODS

Five databases (MEDLINE, Embase, PubMed, Cochrane Library, and Web of Science) were searched, with randomized controlled trials and (nonrandomized) controlled clinical trials included, and meta-analysis and forest plots conducted for each outcome. Risk of bias was assessed using the Risk of Bias-2 tool and Risk of Bias in Nonrandomized Studies of Interventions.

RESULTS

Eight studies were included with a total of 4,473 patients, with seven studies assessing patients with rheumatoid arthritis. Compared with control, the disease activity in the ePROM group was lower (standardized mean difference [SMD] -0.15; 95% confidence interval [CI] -0.27 to -0.03) and rates of remission/low disease activity were higher (odds ratio1.65; 95% CI 1.02-2.68), but five of eight studies provided additional combined interventions (e.g., disease education). Fewer face to face visits were needed in the remote ePROM group (SMD -0.93; 95% CI -2.14-0.28).

CONCLUSION

Most studies were at high risk of bias with significant heterogeneity in design, but our results suggest there is an advantage in using ePROM monitoring in patients with IAs, with the potential for reduction in health care resource use without detrimental impact in disease outcomes.

Artificial intelligence in diabetes management: Advancements, opportunities, and challenges

The increasing prevalence of diabetes, high avoidable morbidity and mortality due to diabetes and diabetic complications, and related substantial economic burden make diabetes a significant health challenge worldwide. A shortage of diabetes specialists, uneven distribution of medical resources, low adherence to medications, and improper self-management contribute to poor glycemic control in patients with diabetes. Recent advancements in digital health technologies, especially artificial intelligence (AI), provide a significant opportunity to achieve better efficiency in diabetes care, which may diminish the increase in diabetes-related health-care expenditures. Here, we review the recent progress in the application of AI in the management of diabetes and then discuss the opportunities and challenges of AI application in clinical practice. Furthermore, we explore the possibility of combining and expanding upon existing digital health technologies to develop an AI-assisted digital health-care ecosystem that includes the prevention and management of diabetes.

Peer Support in Rheumatic Diseases: A Narrative Literature Review

Rheumatic diseases are a group of chronic conditions that are associated with significant morbidity, impaired physical function, psychosocial stress, and cost to the healthcare system. Peer support interventions have been shown to have a positive impact on health outcomes in several chronic conditions, but no review has specifically assessed the impact of peer support on rheumatic conditions. The aim of this narrative literature review was to understand how peer support has been applied in the field of rheumatology, with a specific focus on the impact of observational and randomized studies of direct peer support interventions on various outcome measures across rheumatic conditions. We also examined studies exploring patient attitudes and preferences toward peer support. The majority of studies included focused on peer support in rheumatoid arthritis and systemic lupus erythematosus. Generally, patients across the spectrum of rheumatic disease perceive peer support as a useful tool. Peer support interventions, while highly variable, were generally associated with positive impacts on health-related quality of life metrics (both perceived and measured), although these differences were not always statistically significant. Important limitations include variability in study design, selection bias among study participants, and short follow-up periods across most peer support interventions.

Measuring the willingness to share personal health information: a systematic review

Background

In the age of digitalization and big data, personal health information is a key resource for health care and clinical research. This study aimed to analyze the determinants and describe the measurement of the willingness to disclose personal health information.

Methods

The study conducted a systematic review of articles assessing willingness to share personal health information as a primary or secondary outcome. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis protocol. English and Italian peer-reviewed research articles were included with no restrictions for publication years. Findings were narratively synthesized.

Results

The search strategy found 1,087 papers, 89 of which passed the screening for title and abstract and the full-text assessment.

Conclusion

No validated measurement tool has been developed for willingness to share personal health information. The reviewed papers measured it through surveys, interviews, and questionnaires, which were mutually incomparable. The secondary use of data was the most important determinant of willingness to share, whereas clinical and socioeconomic variables had a slight effect. The main concern discouraging data sharing was privacy, although good data anonymization and the high perceived benefits of sharing may overcome this issue.

Virtual training of rheumatoid arthritis peer coaches in motivational interviewing skills and concepts of cardiovascular disease

Background

Peer coaching interventions are effective in helping individuals with chronic conditions understand their disease. Most peer coach training programs occur in person, which has become an obstacle during the COVID pandemic. We describe our experiences with virtual training for future peer coach interventions.

Methods

Individuals with rheumatoid arthritis (RA) between 40 and 75 years of age were recruited and interviewed by the research team. We conducted seven virtual training sessions focused on four main points: Listen, Discuss, Practice, and Certify. The peer coaches provided feedback throughout the program, which was used to refine the training and intervention. A post-training focus group assessed satisfaction with the training program and intervention development process.

Results

Four peer coaches (3 women, 1 man) were trained, including 2 Black and 2 White individuals with advanced degrees. Their ages ranged from 52 to 57, and their RA duration ranged from 5 to 15 years. An iterative process with the coaches and researchers resulted in a nine-week training program. Peer coaches reported satisfaction, confidence, and a preference for the virtual training format.

Conclusion

This virtual peer coach training program was feasible and acceptable for coaches with advanced degrees during the global COVID-19 pandemic. Our approach represents an opportunity to adapt training that has been traditionally done in person. By doing so, our approach facilitates the recruitment and training of a diverse group of coaches and promotes sustainability.

A novel electronic patient-reported outcome delivery system to implement health-related quality of life measures in routine clinical care: An analysis of 5 years of experience

Objective

To develop a simple and secure technological solution to incorporate electronic patient-reported outcomes (ePROs) into routine clinical care.

Methods

A novel ePRO questionnaire delivery system was developed by Software for Specialists (S4S) in partnership with OPAL Rheumatology Australia. Validated questionnaires were sent from the electronic medical record (EMR) (Audit4) of patients with rheumatoid arthritis (RA), psoriatic arthritis (PsA), ankylosing spondylitis (AS), lupus or giant cell arteritis (GCA) and delivered to the patient's email address or completed in the clinic waiting room using a smart device (in-practice). Completed questionnaires were encrypted and returned to the patient's Audit4. Deidentified clinical data was extracted and aggregated across all sites. Data collected between April 2016-Dec 2020 were analysed descriptively.

Results

Between April 2016 to Dec 2020, 221,352 Functional Assessment of Chronic Illness Therapy Fatigue (FACIT-F), Patient Health Questionnaire-2 (PHQ-2) and/or HealthCare Resource Utilization (HCRU) questionnaires were sent from 39 of 42 contributing clinics (93%). 85% of questionnaires were delivered via email and 15% in-practice. Overall, 85% of patients completed at least one questionnaire, and of all questionnaires sent, 73% were completed. Females were more likely to engage with the questionnaires than males (87% vs. 81%), and older patients were slightly more likely to complete all questionnaires delivered.

Conclusions

The novel Audit4 ePRO delivery system is an effective tool for incorporating PROs into routine clinical care. The data generated provides a unique opportunity to understand the full burden of disease for patients in the real-world setting and the impact of interventions.

Clinical integration of patient-reported outcome measures to enhance the care of patients with SLE: a multi-centre prospective cohort study

OBJECTIVE

To assess the feasibility and impact of integrating electronic patient-reported outcome measures (PROMs) into the routine outpatient care of patients with SLE.

METHODS

We conducted a prospective cohort study, utilizing a mixed-methods sequential explanatory design, of SLE outpatients receiving rheumatology care at two academic medical centres. Participants completed electronic PROMs at enrolment and then prior to their next two routine rheumatology visits. PROM score reports were shared with patients and rheumatologists before visits. Patients and rheumatologists completed post-visit surveys evaluating the utility of PROMs in the clinical encounters. Focus groups of patients and interviews with treating rheumatologists were conducted to further explore their experience utilizing PROMs.

RESULTS

A total of 105 SLE patients and 17 rheumatologists participated in the study. Patients completed PROMs in 159 of 184 encounters (86%), with 93% of surveys completed remotely. Patients reported that PROMs were 'quite a bit' or 'very' useful (55% of encounters) and beneficial to communication (55% of encounters). In contrast, physicians found PROMs useful (20%) and beneficial to communication (17%) less frequently. There was no significant change in visit length, health-related quality of life or disease activity after implementation of PROMs; however, patient satisfaction improved slightly. Qualitative analyses revealed that patients felt PROMs provided utility primarily by facilitating communication, particularly when physicians discussed the surveys.

CONCLUSION

The remote capture and integration of electronic PROMs into clinical care was feasible in a diverse cohort of SLE outpatients. PROMs were useful to patients and enhanced their clinical experience primarily by facilitating communication.

Development and Testing of an Electronic Health Record‐Integrated Patient‐Reported Outcome Application and Intervention to Improve Efficiency of Rheumatoid Arthritis Care

Objective

Many patients with rheumatoid arthritis (RA) have difficulty finding clinicians to treat them because of workforce shortages. We developed an app to address this problem by improving care efficiency. The app collects patient‐reported outcomes (PROs) and can be used to inform visit timing, potentially reducing the volume of low‐value visits. We describe the development process, intervention design, and planned study for testing the app.

Methods

We employed user‐centered design, interviewing patients and clinicians, to develop the app. To improve visit efficiency, symptom tracking logic alerts clinicians to PRO trends: worsening PROs generate alerts suggesting an earlier visit, and stable or improving PROs generate notifications that scheduled visits could be delayed. An interrupted time‐series analysis with a nonrandomized control population will allow assessment of the impact of the app on visit frequency.

Results

Patient interviews identified several of the following needs for effective app and intervention design: the importance of a simple user interface facilitating rapid answering of PROs, the availability of condensed summary information with links to more in‐depth answers to common questions regarding RA, and the need for clinicians to discuss the PRO data during visits with patients. Clinician interviews identified the following user needs: PRO data must be easy to view and use during the clinical workflow, and there should be reduced interval visits when PROs are trending worse. Some clinicians believed visits could be delayed for patients with stable PROs, whereas others raised concerns.

Conclusion

PRO apps may improve care efficiency in rheumatology. Formal evaluation of an integrated PRO RA app is forthcoming.

E-health as a sine qua non for modern healthcare

In each era we need to balance between being able to provide care with our “technical skill, scientific knowledge, and human understanding” (Harrison's Principles of Internal Medicine, 1950) to the individual patient and simultaneously ensure that our healthcare serves all. With the increasing demand of healthcare by an aging population and the lack of specialists, accessible healthcare within a reasonable time frame is not always guaranteed. E-health provides solutions for current situations where we do not meet our own aims of good healthcare, such as restrictions in access to care and a reduction in care availability by a reducing workforce. In addition, telemedicine offers opportunities to improve our healthcare beyond what is possible by in person visits. However, e-health is often viewed as an deficient version of healthcare of low quality. We disagree with this view. In this article we will discuss how to position e-health in the current situation of healthcare, given the continuing rapid development of digital technologies and the changing needs of healthcare professionals and patients. We will address the evolution of e-health towards connected and intelligent systems and the stakeholders perspective, aiming to open up the discussion on e-Health.

AGREEMENT BETWEEN UDD APPTM & PROVIDER EVALUATION OF ESOPHAGECTOMY SYMPTOMS IN A MOBILE APP TOOL

BACKGROUND

The objective of this study was to assess the criterion validity of score thresholds for Upper Digestive Disease (UDD) App^TM.

METHODS

From 12/15/2017-12/15/2020, patients presenting after esophagectomy were offered the UDD App^TM concurrent with a provider visit. This tool consists of 67 questions including five novel domains. Score thresholds were used to classify patient as good, moderate, or poor based on domain scores. Providers were given performance descriptions for each domain and asked to classify patients based on their clinical evaluation. The weighted kappa statistic was used to determine the magnitude of agreement between classifications based on the patients' UDD App^TM scores and providers' clinical evaluation.

RESULTS

Fifty-nine patients in the study (76% male), median age 63 [IQR 57, 72] reported outcomes utilizing the UDD app. Providers reviewed between 1-10 patients at a median time of 296.5 days [IQR 50, 975] post-esophagectomy. The magnitude of agreement between patients and providers was moderate for dysphagia (κ= 0.52, p<0.001) and reflux (κ= 0.42, p<0.001). Dumping-related hypoglycemia (κ= 0.03, p=0.148), gastrointestinal complaints (κ= 0.02, p=0.256) and pain (κ= 0.05, p<0.184), showed minimal agreement, with providers underestimating the symptoms and problems reported by patients in these domains.

CONCLUSIONS

Although there was agreement between UDD App^TM assessment and provider evaluation of dysphagia and reflux following esophagectomy, there was discordance of scoring for dumping-related symptoms and pain. Future research is needed to determine whether thresholds for pain and dumping domains need to be revised and/or whether additional provider education on performance descriptions is needed.

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.

Patients’ experiences and perspectives of patient-reported outcome measures in clinical care: A systematic review and qualitative meta-synthesis

Background

Patient-reported outcome measures (PROMs) or patient-reported outcomes (PROs) are used by clinicians in everyday clinical practice to assess patients’ perceptions of their own health and the healthcare they receive. By providing insight into how illness and interventions impact on patients’ lives, they can help to bridge the gap between clinicians’ expectations and what matters most to the patient. Given increasing focus on patient-centred care, the objective of this meta-synthesis was to summarise the qualitative evidence regarding patients’ perspectives and experiences of the use of PROMs in clinical care.

Methods

A systematic search of the following databases was undertaken in August 2020: Medline, EMBASE, EMCARE, PsychINFO, Scopus and the Cochrane Library. This review was conducted and reported in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Methodological quality of the included studies was assessed using the Critical Appraisal Skills Programme checklist for qualitative research (CASP). A meta-ethnographic approach was used for data extraction and meta-synthesis of findings (PROSPERO registration: CRD42020202506).

Results

Fourteen studies from a range of countries with differing qualitative research methodologies were identified. Three themes were identified, namely ‘patient preferences regarding PROMs’, ‘patient perceived benefits’ and ‘barriers to patient engagement with PROMs’. The perspectives of patients suggested they preferred PROMs that were simple and relevant to their conditions and found benefits in the way they facilitated self-reflection and effective communication with their clinicians. Patients, however, questioned the relevance of some individual questions and purpose.

Conclusion

PROMs can be a useful tool in the clinical setting by enabling individualisation and patient centred care. This meta-synthesis provides insights into what patients find beneficial as well as barriers to their engagement, highlighting the importance of educating patients about PROMs.

Future challenges in rheumatology – is telemedicine the solution?

The COVID-19 pandemic has become an unprecedented facilitator of rapid telehealth expansion within rheumatology. Due to demographic shifts and workforce shortages in the future, new models of rheumatology care will be expected to emerge, with a growing footprint of telehealth interventions. Telehealth is already being used to monitor patients with rheumatic diseases and initial studies show good results in terms of safety and disease progression. It is being used as a tool for appointment prioritization and triage, and there is good evidence for using telehealth in rehabilitation, patient education and self-management interventions. Electronic patient-reported outcomes (ePROs) offer a number of long-term benefits and opportunities, and a routine collection of ePROs also facilitates epidemiological research that can inform future healthcare delivery. Telehealth solutions should be developed in close collaboration with all stakeholders, and the option of a telehealth visit must not deprive patients of the possibility to make use of a conventional ‘face-to-face’ visit. Future studies should especially focus on optimal models for rheumatology healthcare delivery to patients living in remote areas who are unable to use or access computer technology, and other patient groups at risk for disparity due to technical inequity and lack of knowledge.

Technische Alltagshilfen in der Rheumatologie – Was ist sinnvoll, was ist bewiesen, welche Perspektiven gibt es?

Einschränkungen der Alltagsaktivität sind ein relevantes gesundheitliches Problem bei Patienten mit entzündlich-rheumatischen Systemerkrankungen. Technische Alltagshilfen nehmen in der Rehabilitation von diesen Teilhabeeinschränkungen einen hohen Stellenwert ein. Wir erläutern Evidenz für den Einsatz von Alltagshilfen und die neuen Entwicklungen auf diesem Gebiet.

[Telemedical care and IT-based systems in rheumatology]

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic and also the ever-increasing demands on the healthcare system, have led to a focus on the further development of telemedical services in rheumatology.

OBJECTIVE

What is the evidence for telemedical services in rheumatology?

MATERIAL AND METHODS

Narrative review of existing literature on telemedicine in rheumatology.

RESULTS

Electronic patient reported outcomes (ePROs) can be determined by patients from their home and sent electronically to the rheumatologist. In future, ePROs may help with the decision whether a patient needs to attend the clinic for a visit or the visit can be rescheduled due to remission and well-being. Telemedicine has already been used for well-controlled patients with rheumatic diseases with good results in terms of safety and disease activity compared to conventional face-to-face visits. Telemedicine represents an interesting tool for appointment prioritization and triaging, while automated algorithm-based applications are currently too imprecise for routine clinical use. The role of smartphone applications in the care of patients with rheumatic diseases is still unclear.

DISCUSSION

Telemedicine represents an interesting option for certain patient populations with rheumatic diseases. Apart from research on the effectiveness and safety of telemedical interventions, decision makers need to set clear rules on how telemedicine should be used to provide the best possible care for the individual patient.

The ideal mHealth-application for rheumatoid arthritis: qualitative findings from stakeholder focus groups

Background

Shifts in treatment strategies for rheumatoid arthritis (RA) have made ambulatory care more labour-intensive. These developments have prompted innovative care models, including mobile health (mHealth) applications. This study aimed to explore the perceptions of mHealth-inexperienced stakeholders concerning these applications in RA care.

Methods

We performed a qualitative study by focus group interviews of stakeholders including RA patients, nurses specialised in RA care and rheumatologists. The qualitative analysis guide of Leuven (QUAGOL), which is based on grounded theory principles, was used to thematically analyse the data. In addition, the Persuasive Systems Design (PSD) model was used to structure recommended app-features.

Results

In total, 2 focus groups with nurses (total n = 16), 2 with patients (n = 17) and 2 with rheumatologists (n = 25) took place. Six overarching themes emerged from the analysis. Efficiency of care and enabling patient empowerment were the two themes considered as expected benefits of mHealth-use in practice by the stakeholders. In contrast, 4 themes emerged as possible barriers of mHealth-use: the burden of chronic app-use, motivational aspects, target group aspects, and legal and organisational requirements. Additionally, recommendations for an ideal mHealth-app could be structured into 4 domains (Primary Task Support, Dialogue Support, Social Support and System Credibility) according to the PSD-framework. Most recommended features were related to improving ease of use (Task Support) and System Credibility.

Conclusions

Although mHealth-apps were expected to improve care efficiency and stimulate patient empowerment, stakeholders were concerned that mHealth-app use could reinforce negative illness behaviour. For mHealth-apps to be successful in practice, challenges according to stakeholders were avoiding long-term poor compliance, finding the target audience and tailoring a legal and organisational framework. Finally, the ideal mHealth-application should above all be trustworthy and easy to use.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12891-021-04624-8.

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.

Application of Andersen's behavioural model of health services use: a scoping review with a focus on qualitative health services research

INTRODUCTION

Qualitative methods have become integral in health services research, and Andersen's behavioural model of health services use (BMHSU) is one of the most commonly employed models of health service utilisation. The model focuses on three core factors to explain healthcare utilisation: predisposing, enabling and need factors. A recent overview of the application of the BMHSU is lacking, particularly regarding its application in qualitative research. Therefore, we provide (1) a descriptive overview of the application of the BMHSU in health services research in general and (2) a qualitative synthesis on the (un)suitability of the model in qualitative health services research.

METHODS

We searched five databases from March to April 2019, and in April 2020. For inclusion, each study had to focus on individuals ≥18 years of age and to cite the BMHSU, a modified version of the model, or the three core factors that constitute the model, regardless of study design, or publication type. We used MS Excel to perform descriptive statistics, and applied MAXQDA 2020 as part of a qualitative content analysis.

RESULTS

From a total of 6319 results, we identified 1879 publications dealing with the BMSHU. The main methodological approach was quantitative (89%). More than half of the studies are based on the BMHSU from 1995. 77 studies employed a qualitative design, the BMHSU was applied to justify the theoretical background (62%), structure the data collection (40%) and perform data coding (78%). Various publications highlight the usefulness of the BMHSU for qualitative data, while others criticise the model for several reasons (eg, its lack of cultural or psychosocial factors).

CONCLUSIONS

The application of different and older models of healthcare utilisation hinders comparative health services research. Future research should consider quantitative or qualitative study designs and account for the most current and comprehensive model of the BMHSU.

Patient adherence with a smartphone app for patient-reported outcomes in rheumatoid arthritis

OBJECTIVES

Electronic patient-reported outcomes (ePROs) transmitted digitally allow patients to communicate with their clinicians and track the activity of chronic diseases, such as RA. Several ePRO smartphone apps have been developed in rheumatology, yet few data have been reported regarding patient adherence. We developed a PRO app for RA and assessed adherence over 6 months.

METHODS

We developed an app to deliver daily assessments to participants (RA App v.1.0). The app was tested as part of a randomized controlled trial examining potential clinical benefits. The current analyses focus on the adherence to the ePRO app for patients randomized to receive the app. We recruited RA patients from an academic rheumatology practice in the USA. Patients randomized to receive the app received daily notifications regarding ePROs. We examined adherence to the PRO questionnaires over the 6-month study and examined factors related to adherence.

RESULTS

Seventy-eight patients received the app and have data included in these analyses: 63 (80.7%) were female, mean age was 55.2 years, 71% had attended college or beyond, and the mean Clinical Disease Activity Index at baseline was 9.7 (low disease activity). Median adherence to the daily questions was 79% (interquartile range 48-90%). Significant predictors of increased adherence were age ≥65 (P = 0.03) and low baseline Clinical Disease Activity Index (P = 0.02).

CONCLUSION

We developed and tested an ePRO app for RA over a 6-month study. Adherence to the app was strong. There was correlation between older age and better disease control and increased adherence.

TRIAL REGISTRATION

ClinicalTrials.gov, https://clinicaltrials.gov/, NCT02822521.

A randomized prospective open-label controlled trial comparing the performance of a connected monitoring interface versus physical routine monitoring in patients with rheumatoid arthritis

OBJECTIVES

In RA, telemedicine may allow tight control of disease activity while reducing hospital visits. We developed a smartphone application connected with a physician's interface to monitor RA patients. We aimed to assess the performance of this e-Health solution in comparison with routine practice in the management of patients with RA.

METHODS

A six-month pragmatic, randomized, controlled, prospective, clinical trial was conducted in RA patients with high to moderate disease activity starting a new DMARD therapy. Two groups were established: 'connected monitoring' and 'conventional monitoring'. The primary outcome was the number of physical visits between baseline and six months. Secondary outcomes included adherence, satisfaction, changes in clinical, functional and health status scores (Short-Form 12).

RESULTS

Of the 94 randomized patients, 89 completed study: 44 in the 'conventional monitoring' arm and 45 in the 'connected monitoring' arm. The total number of physical visits between required baseline and six-month visits was significantly lower in the 'connected monitoring' group [0.42 (0.58) vs 1.93 (0.55); P <0.05]. No differences between groups were observed in the clinical and functional scores. A better quality of life for Short-Form 12 subscores (Role-Physical and Role-Emotional) were found in the 'connected monitoring' group.

CONCLUSION

Our results suggest that connected monitoring reduces the number of physical visits while maintaining a tight control of disease activity and improving quality of life in patients with RA starting a new treatment.

TRIAL REGISTRATION

ClinicalTrials.gov, https://clinicaltrials.gov, NCT03005925.

Acceptance of Telerheumatology by Rheumatologists and General Practitioners in Germany: Nationwide Cross-sectional Survey Study

Background

The worldwide burden of musculoskeletal diseases is increasing. The number of newly registered rheumatologists has stagnated. Primary care, which takes up a key role in early detection of rheumatic disease, is working at full capacity. COVID-19 and its containment impede rheumatological treatment. Telemedicine in rheumatology (telerheumatology) could support rheumatologists and general practitioners.

Objective

The goal of this study was to investigate acceptance and preferences related to the use of telerheumatology care among German rheumatologists and general practitioners.

Methods

A nationwide, cross-sectional, self-completed, paper-based survey on telerheumatology care was conducted among outpatient rheumatologists and general practitioners during the pre-COVID-19 period.

Results

A total of 73.3% (349/476) of survey participants rated their knowledge of telemedicine as unsatisfactory, poor, or very poor. The majority of survey participants (358/480, 74.6%) answered that they do not currently use telemedicine, although 62.3% (291/467) would like to. Barriers to the implementation of telemedicine include the purchase of technology equipment (182/292, 62.3%), administration (181/292, 62.0%), and poor reimbursement (156/292, 53.4%). A total of 69.6% (117/168) of the surveyed physicians reckoned that telemedicine could be used in rheumatology. Surveyed physicians would prefer to use telemedicine to communicate directly with other physicians (370/455, 81.3%) than to communicate with patients (213/455, 46.8%). Among treatment phases, 64.4% (291/452) of participants would choose to use telemedicine during follow-up. Half of the participants would choose telecounseling as a specific approach to improve rheumatology care (91/170, 53.5%).

Conclusions

Before COVID-19 appeared, our results indicated generally low use but high acceptance of the implementation of telerheumatology among physicians. Participants indicated that the lack of a structural framework was a barrier to the effective implementation of telerheumatology. Training courses should be introduced to address the limited knowledge on the part of physicians in the use of telemedicine. More research into telerheumatology is required. This includes large-scale randomized controlled trials, economic analyses, and the exploration of user preferences.

Remote Measurement in Rheumatoid Arthritis: Qualitative Analysis of Patient Perspectives

BACKGROUND

Rheumatoid arthritis (RA) is characterized by recurrent fluctuations in symptoms such as joint pain, swelling, and stiffness. Remote measurement technologies (RMTs) offer the opportunity to track symptoms continuously and in real time; therefore, they may provide a more accurate picture of RA disease activity as a complement to prescheduled general practitioner appointments. Previous research has shown patient interest in remote symptom tracking in RA and has provided evidence for its clinical validity. However, there is a lack of co-design in the current development of systems, and the features of RMTs that best promote optimal engagement remain unclear.

OBJECTIVE

This study represents the first in a series of work that aims to develop a multiparametric RMT system for symptom tracking in RA. The objective of this study is to determine the important outcomes for disease management in patients with RA and how these can be best captured via remote measurement.

METHODS

A total of 9 patients (aged 23-77 years; mean 55.78, SD 17.54) with RA were recruited from King's College Hospital to participate in two semistructured focus groups. Both focus group discussions were conducted by a facilitator and a lived-experience researcher. The sessions were recorded, transcribed, independently coded, and analyzed for themes.

RESULTS

Thematic analysis identified a total of four overarching themes: important symptoms and outcomes in RA, management of RA symptoms, views on the current health care system, and views on the use of RMTs in RA. Mobility and pain were key symptoms to consider for symptom tracking as well as symptom triggers. There is a general consensus that the ability to track fluctuations and transmit such data to clinicians would aid in individual symptom management and the effectiveness of clinical care. Suggestions for visually capturing symptom fluctuations in an app were proposed.

CONCLUSIONS

The findings support previous work on the acceptability of RMT with RA disease management and address key outcomes for integration into a remote monitoring system for RA self-management and clinical care. Clear recommendations for RMT design are proposed. Future work will aim to take these recommendations into a user testing phase.

Digital health technologies: opportunities and challenges in rheumatology

The past decade in rheumatology has seen tremendous innovation in digital health technologies, including the electronic health record, virtual visits, mobile health, wearable technology, digital therapeutics, artificial intelligence and machine learning. The increased availability of these technologies offers opportunities for improving important aspects of rheumatology, including access, outcomes, adherence and research. However, despite its growth in some areas, particularly with non-health-care consumers, digital health technology has not substantially changed the delivery of rheumatology care. This Review discusses key barriers and opportunities to improve application of digital health technologies in rheumatology. Key topics include smart design, voice enablement and the integration of electronic patient-reported outcomes. Smart design involves active engagement with the end users of the technologies, including patients and clinicians through focus groups, user testing sessions and prototype review. Voice enablement using voice assistants could be critical for enabling patients with hand arthritis to effectively use smartphone apps and might facilitate patient engagement with many technologies. Tracking many rheumatic diseases requires frequent monitoring of patient-reported outcomes. Current practice only collects this information sporadically, and rarely between visits. Digital health technology could enable patient-reported outcomes to inform appropriate timing of face-to-face visits and enable improved application of treat-to-target strategies. However, best practice standards for digital health technologies do not yet exist. To achieve the potential of digital health technology in rheumatology, rheumatology professionals will need to be more engaged upstream in the technology design process and provide leadership to effectively incorporate the new tools into clinical care.

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.

Which patient reported outcome domains are important to the rheumatologists while assessing patients with rheumatoid arthritis?

BACKGROUND

Patient-reported outcomes (PROs) aid in rheumatoid arthritis (RA) management, but it is not well understood which measures would be most relevant to the rheumatologists for making treatment decisions.

METHODS

We recruited rheumatologists nationally to participate in moderated structured group teleconference discussions using the nominal group technique. Participants in each group generated lists of the elements from patient's history and signs that they use to make treatment recommendations for RA. Each participant then selected the three most important elements from the generated list. The results of each group were then combined and summarized.

RESULTS

Twenty-five rheumatologists participated in 4 groups (group size ranged from 4 to 8) and 150 available ranking votes across all groups. The statements generated across the 4 groups were categorized into 13 topics (including symptoms, physical function, comorbidities, social aspects, physical findings, response to treatment, treatment adherence, pain management, side effects, tests, access to care, contraception, and organ involvement), 10 of which received ranking votes. Symptoms received the highest ranking (46% of votes), followed by physical function (16%), and physical findings (13%). Among the unranked topics, social aspects had the highest number of statements (8 statements).

CONCLUSION

Rheumatologists highly valued patient-reported RA symptoms and physical function to inform their treatment decisions, even above objective data such as physical findings and test results. These results can guide the selection of validated PRO measures to assess these domains to inform the clinical care of patients with rheumatoid arthritis.

Associations of Arthritis-Attributable Interference with Routine Life Activities: A Modifiable Source of Compromised Quality-of-Life

OBJECTIVE

Arthritis patients experience the impact of disease beyond routinely assessed clinical measures. We characterized arthritis-attributable interference in four important routine life domains: 1) recreation/leisure/hobbies; 2) household chores; 3) errands/shopping; and 4) social activities.

METHODS

Participants were from the Arthritis Conditions Health Effects Survey (2005-2006), a cross-sectional survey of noninstitutionalized US adults 45 years or older with doctor-diagnosed arthritis (n = 1793). We estimated the prevalence of "a lot" of arthritis-attributable interference and quantified the associations between sociodemographic, clinical, and psychological characteristics and "a lot" of arthritis-attributable interference (vs "a little" or "none") in each domain using prevalence ratios (PRs) in multivariable (MV)-adjusted logistic regression models.

RESULTS

An estimated 1 in 5 to 1 in 4 adults with arthritis reported "a lot" of arthritis-attributable interference in recreation/leisure/hobbies (27%), household chores (25%), errands/shopping (22%), and social activities (18%). The highest prevalence of "a lot" of arthritis-attributable interference was for those unable to work/disabled or reporting severe arthritis symptoms (pain, stiffness, fatigue), anxiety, depression, or no/low confidence in ability to manage arthritis, across domains. In MV-adjusted models, those unable to work/disabled, currently seeing a doctor, or reporting fair/poor self-rated health, severe joint pain, anxiety, or no/low confidence in ability to manage arthritis were more likely to report arthritis-attributable interference than their respective counterparts. Magnitudes varied by domain but were consistently strongest for those unable to work/disabled (MV PR range = 1.8-2.5) and with fair/poor health (MV PR range = 1.7-2.7).

CONCLUSION

Many characteristics associated with arthritis-attributable interference in routine life activities are potentially modifiable, suggesting unmet need for use of existing evidence-based interventions that address these characteristics and reduce interferences to improve quality of life.

Mobile Apps for Rheumatoid Arthritis: Opportunities and Challenges

Mobile applications have the potential to improve health outcomes in patients with rheumatoid arthritis (RA). Whereas other chronic diseases such as diabetes and heart failure have a well-established presence in the mobile application realm, apps focused on RA are still in their infancy. This article presents an overview of the types of mobile apps that can be used for RA and discusses the opportunities and challenges associated with them.