Mobile Health Features Supporting Self-Management Behavior in Patients With Chronic Arthritis: Mixed-Methods Approach on Patient Preferences

Experiences of activity monitoring and perceptions of digital support among working individuals with hip and knee osteoarthritis - a focus group study

Background

Mobile health (mHealth), wearable activity trackers (WATs) and other digital solutions could support physical activity (PA) in individuals with hip and knee osteoarthritis (OA), but little is described regarding experiences and perceptions of digital support and the use of WAT to self-monitor PA. Thus, the aim of this study was to explore the experiences of using a WAT to monitor PA and the general perceptions of mHealth and digital support in OA care among individuals of working age with hip and knee OA.

Methods

We conducted a focus group study where individuals with hip and knee OA (n = 18) were recruited from the intervention group in a cluster-randomized controlled trial (C-RCT). The intervention in the C-RCT comprised of 12-weeks use of a WAT with a mobile application to monitor PA in addition to participating in a supported OA self-management program. In this study, three focus group discussions were conducted. The discussions were transcribed and qualitative content analysis with an inductive approach was applied.

Results

The analysis resulted in two main categories: A WAT may aid in optimization of PA, but is not a panacea with subcategories WATs facilitate PA; Increased awareness of one’s limitations and WATs are not always encouraging, and the second main category was Digital support is an appreciated part of OA care with subcategories Individualized, early and continuous support; PT is essential but needs to be modernized and Easy, comprehensive, and reliable digital support.

Conclusion

WATs may facilitate PA but also aid individuals with OA to find the optimal level of activity to avoid increased pain. Digital support in OA care was appreciated, particularly as a part of traditional care with physical visits. The participants expressed that the digital support should be easy, comprehensive, early, and continuous.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14065-0.

Young adult preferences for digital health interventions to support adherence to inhaled corticosteroids in asthma: a qualitative study

Objective: Adherence to inhaled corticosteroids (ICS) among young adults living with asthma is low and in need of appropriate intervention. Digital health interventions (DHIs) have demonstrated potential to improve ICS adherence; however, young adult preferences for these DHIs and how their use could support adherence in this population remain understudied. Therefore, this study aimed to explore young adult preferences for ICS adherence supports and potential DHI features to deliver these supports, in order to improve adherence behaviour throughout this critical developmental stage of the lifespan.

Methods: Qualitative, semi-structured interviews were conducted with 13 young adults living with asthma. Analysis followed an inductive, reflexive thematic approach.

Results: Participant’s age ranged from 18 to 30 years (M = 24.7; 8 female). Three themes were developed from the analysis: ‘Enabling young adults to find their ‘own way of knowing', ‘Support for making a habit of adherence’, and ‘Providing accessible information’ which included the sub-themes: ‘Education on asthma self-management and medication’, ‘Self-monitoring information’ and ‘Personal feedback on outcomes of adherence’. Suggested features to deliver these supports included a medication and prescription refill reminder, adherence charts, symptom and trigger monitoring, rewards for adherence, visual representations of lungs demonstrating the impact of adherence and lung function monitoring.

Conclusion: DHIs may offer an appropriate solution to improve suboptimal adherence to ICS in young adults. However, it is crucial that young adult preferences for adherence supports and features are integrated into these interventions in order to optimise engagement and support adherence behaviour in this population.

Monitoring Lower Back Activity in Daily Life Using Small Unintrusive Sensors and Wearable Electronics in the Context of Rheumatic and Musculoskeletal Diseases

Due to a sedentary lifestyle, the amount of people suffering from musculoskeletal back diseases has increased over the last few decades. To monitor and cure these disabilities, sensors able to monitor the patient for long-term measurement during daily life and able to provide real-time feedback are required. There are only a few wearable systems that are capable to acquire muscle activity (sEMG) and posture at the same time. Moreover, previously reported systems do not target back sensor and typically comprise bulky uncomfortable solutions. In this paper, we present a new wearable sensor network that is designed to measure muscle activity and posture specialized for back measurement. Special care was taken to propose a discrete and comfortable solution. The prototype only measures 3.1 mm in thickness on the spine, making this sensor system the thinnest and lightest one in the literature to our best knowledge. After testing, it was shown that the sensor system is able to acquire two surface electromyography signals concurrently, to gather acceleration and rotation speed from the patient's lower back, and to transmit data to a computer or a smartphone via serial communication or Bluetooth low energy for a few hours for later processing and analysis.

Mobile App-based documentation of patient-reported outcomes - 3-months results from a proof-of-concept study on modern rheumatology patient management

BACKGROUND

Mobile medical applications (Apps) offer innovative solutions for patients' self-monitoring and new patient management opportunities. Prior to routine clinical application feasibility and acceptance of disease surveillance using an App that includes electronic (e) patient-reported outcome measures (PROMs) warrant evaluation. Therefore, we performed a proof-of-concept study in which rheumatoid arthritis (RA) patients used an App (RheumaLive) to document their disease.

METHODS

Accurate PROM reporting via an App in comparison to paper-based versions was investigated to exclude media bias. Sixty participants recruited from 268 consecutive RA outpatients completed paper-based and electronic PROMs (Hannover Functional Questionnaire/derived HAQ; modified RA disease activity index) using the App at baseline and follow-up visits. Between visits, patients used their App on their own smartphone according to their preferences. The equivalence of PROM data and user experiences from patients and physicians were evaluated.

RESULTS

Patients' (78.3% female) mean (SD) age was 50.1 (13.1) years, disease duration 10.5 (9.1) years, and paper-based HAQ 0.78 (0.59). Mean confidence in Apps scored 3.5 (1.1, Likert scale 1 to 6). ePROMs' scores obtained by patients' data entry in the App were equivalent to paper-based ones and preferred by the patients. After 3 months, the App retention rate was 71.7%. Patients' overall satisfaction with the App was 2.2 (0.9, Likert scale 1 to 6). Patients and physicians valued the App, i.e., for patient-physician interaction: 87% reported that it was easier for them to document the course of the disease using the App than "only" answering questions about their current health during routine outpatient visits. Further App use was recommended in 77.3% of the patients, and according to physicians, in seven patients, the App use contributed to an increased adherence to therapy.

CONCLUSION

Our study provides an essential basis for the broader implementation of medical Apps in routine care. We demonstrated the feasibility and acceptance of disease surveillance using a smartphone App in RA. App use was convincing as a reliable option to perform continuous, remote monitoring of disease activity and treatment efficacy.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT02565225 . Registered on September 16, 2015 (retrospectively registered).

Investigator Experiences Using Mobile Technologies in Clinical Research: Qualitative Descriptive Study

Background

The successful adoption of mobile technology for use in clinical trials relies on positive reception from key stakeholders, including clinical investigators; however, little information is known about the perspectives of investigators using mobile technologies in clinical trials.

Objective

The aim of this study was to seek investigators’ insights on the advantages and challenges of mobile clinical trials (MCTs); site-level budgetary, training, and other support needs necessary to adequately prepare for and implement MCTs; and the advantages and disadvantages for trial participants using mobile technologies in clinical trials.

Methods

Using a qualitative descriptive study design, we conducted in-depth interviews with investigators involved in the conduct of MCTs. Data were analyzed using applied thematic analysis.

Results

We interviewed 12 investigators who represented a wide variety of clinical specialties and reported using a wide range of mobile technologies. Investigators most commonly cited 3 advantages of MCTs over traditional clinical trials: more streamlined study operations, remote data capture, and improvement in the quality of studies and data collected. Investigators also reported that MCTs can be designed around the convenience of trial participants, and individuals may be more willing to participate in MCTs because they can take part from their homes. In addition, investigators recognized that MCTs can also involve additional burden for participants and described that operational challenges, technology adoption barriers, uncertainties about data quality, and time burden made MCTs more challenging than traditional clinical trials. Investigators stressed that additional training and dedicated staff effort may be needed to select a particular technology for use in a trial, helping trial participants learn and use the technology, and for staff troubleshooting the technology. Investigators also expressed that sharing data collected in real time with investigators and trial participants is an important aspect of MCTs that warrants consideration and potentially additional training and education.

Conclusions

Investigator perspectives can inform the use of mobile technologies in future clinical trials by proactively identifying and addressing potential challenges.

Design Features for Improving Mobile Health Intervention User Engagement: Systematic Review and Thematic Analysis

Background

Well-designed mobile health (mHealth) interventions support a positive user experience; however, a high rate of disengagement has been reported as a common concern regarding mHealth interventions. To address this issue, it is necessary to summarize the design features that improve user engagement based on research over the past 10 years, during which time the popularity of mHealth interventions has rapidly increased due to the use of smartphones.

Objective

The aim of this review was to answer the question “Which design features improve user engagement with mHealth interventions?” by summarizing published literature with the purpose of guiding the design of future mHealth interventions.

Methods

This review followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) checklist. Databases, namely, PubMed, Web of Science, Cochrane Library, Ovid EMBASE, and Ovid PsycINFO, were searched for English and Chinese language papers published from January 2009 to June 2019. Thematic analysis was undertaken to assess the design features in eligible studies. The Mixed Methods Appraisal Tool was used to assess study quality.

Results

A total of 35 articles were included. The investigated mHealth interventions were mainly used in unhealthy lifestyle (n=17) and chronic disease (n=10) prevention programs. Mobile phone apps (n=24) were the most common delivery method. Qualitative (n=22) and mixed methods (n=9) designs were widely represented. We identified the following 7 themes that influenced user engagement: personalization (n=29), reinforcement (n=23), communication (n=20), navigation (n=17), credibility (n=16), message presentation (n=16), and interface aesthetics (n=7). A checklist was developed that contained these 7 design features and 29 corresponding specific implementations derived from the studies.

Conclusions

This systematic review and thematic synthesis identified useful design features that make an mHealth intervention more user friendly. We generated a checklist with evidence-based items to enable developers to use our findings easily. Future evaluations should use more robust quantitative approaches to elucidate the relationships between design features and user engagement.

Patient and clinician views on an app for rheumatoid arthritis disease monitoring: Function, implementation and implications

AIM

Best practice management for rheumatoid arthritis (RA) involves regular clinical assessment of RA disease activity. This is not achievable with current rheumatology systems of care. We aimed to use opinions from people with RA and their specialist rheumatology healthcare professionals to inform development of a mobile app for people with RA for recording their disease activity data for potential integration into clinical service, and assess usability of the app.

METHOD

In phase 1 we interviewed nine people with RA and seven healthcare professionals. In phase 2 we developed an app with professional software developers. In phase 3 we evaluated app usability for people with RA using the System Usability Scale (SUS).

RESULTS

Interview data showed four themes regarding functionality and implementation of a patient-held app in RA care: (a) variable app acceptance and readiness; (b) app use to reduce barriers; (c) pros and cons of patient-reported outcomes; and (d) allocation of clinics by need. The app developed has high usability in people with RA using the app on their own device for a month (SUS 79.5, n = 16) or using the app on a study device for 10 minutes (SUS 83, n = 100).

CONCLUSION

People with RA and healthcare professionals have clearly identified features, benefits and risks of an app for self-assessment of RA and incorporation into clinical care. An app developed informed by these opinions has high usability. Next steps are development and validation of a method of patient-performed joint counts, and implementation, with evaluation, in the clinical setting.

Prevention and adherence in Rheumatic and Musculoskeletal disease

Rheumatic and Musculoskeletal Diseases (RMDs) are chronic conditions that affect a substantial number of people. RMDs are significantly related to co-morbidity. Therefore, focusing on prevention in RMDs is of importance to promote and maintain health. Prevention includes primary-, secondary-, tertiary-, and clinical prevention. Primary prevention aims to prevent the onset of disease before the disease process begins, secondary prevention includes detecting and reducing disease and risk factors at the earliest possible point, and tertiary prevention aims to limit the influence of a recognized or verified disease and to address or reduce further development or worsening of the disease, including physical and psychosocial disability. Clinical prevention attempts to integrate prevention into the disease management to limit disease progression and prevent complications and relapse. This chapter will focus on the evidence for prevention and highlight how innovations and trends can contribute by using digital technologies as an example.

Assessing Physical Activity and Sleep in Axial Spondyloarthritis: Measuring the Gap

Patients with axial spondyloarthritis (axSpA) frequently report pain, stiffness, fatigue, and sleep problems, which may lead to impaired physical activity. The majority of reported-on measures evaluating physical activity and sleep disturbance in axSpA are self-reported questionnaires, which can be impacted by patient recall (reporting bias). One objective measure, polysomnography, has been employed to evaluate sleep in patients with axSpA; however, it is an intrusive measure and cannot be used over the long term. More convenient objective measures are therefore needed to allow for the long-term assessment of both sleep and physical activity in patients' daily lives. Wearable technology that utilizes actigraphy is increasingly being used for the objective measurement of physical activity and sleep in various therapy areas, as it is unintrusive and suitable for continuous tracking to allow longitudinal assessment. Actigraphy characterizes sleep disruption as restless movement while sleeping, which is particularly useful when studying conditions such as axSpA in which chronic pain and discomfort due to stiffness may be evident. Studies have also shown that actigraphy can effectively assess the impact of disease on physical activity. More research is needed to establish the usefulness of objective monitoring of sleep and physical activity specifically in axSpA patients over time. This review summarizes the current perspectives on physical activity and sleep quality in patients with axSpA, and the possible role of actigraphy in the future to more accurately evaluate the impact of treatment interventions on sleep and physical activity in axSpA.Funding: Novartis Pharmaceuticals Corporation.Plain Language Summary: Plain language summary available for this article.