Living with asthma and chronic obstructive airways disease: Using technology to support self-management - An overview

Remote Spirometry, Education, and Action for COPD Diagnosis and Management in Rural and Medically Underserved Settings in South Carolina: Protocol for an Observational Feasibility Study

Individuals living in rural or medically underserved areas (MUA) with chronic obstructive pulmonary disease (COPD) face significant barriers to specialised pulmonary care, including pulmonologists, diagnostic spirometry, and pulmonary rehabilitation. Remote spirometry for diagnostic screening and disease monitoring may mitigate access barriers and contribute to improved COPD management in this population. This study protocol describes the proposed implementation of a Mobile Health (mHealth) intervention using Bluetooth-enabled portable spirometry combined with a mobile disease management platform.

OBJECTIVE

The purpose of this study is to evaluate the acceptability and feasibility of an mHealth intervention with Bluetooth-enabled remote spirometry for remote patient monitoring of patients with COPD who are living in rural and/or medically underserved areas of South Carolina. Our exploratory aim is to investigate the potential benefits of remote monitoring and telehealth education on disease symptoms, dyspnoea, and COPD management. Our long-term goal is to expand access, employ evidence-based data, and support shared decision-making in diagnosing and managing underserved patients with COPD.

METHODS

This is a 2-stage prospective observational study. In stage 1, healthcare providers who care for this population will participate in a focus group to explore provider perspectives and preferences toward implementation of remote spirometry in a medically underserved setting. Potential barriers and facilitators will be identified, and if needed, study implementation procedures will be refined based on provider feedback. In stage 2, a target of 120 adults with COPD will be recruited using a combination of direct study referrals, cold contact methods, community partners' recruitment, flyers, and social media posts. Screened and consented subjects will receive training on using the mHealth application and remote spirometer. Survey measures will be collected at baseline and repeated at months 1, 3, and 6, followed by an exit survey at the study conclusion. Using end-of-study questionnaire and repeated measures, we will evaluate feasibility by obtaining variability estimates for secondary outcome measures. Semi-structured key informant interviews will be conducted to explore patient preferences, potential barriers, acceptability, and recommendations for future intervention refinement.

CONCLUSION

An mHealth intervention using Bluetooth-enabled remote portable spirometry is a potential solution to expanding healthcare access and improving outcomes in under-resourced populations at risk for increased morbidity and mortality. This study will evaluate the acceptability and feasibility of mHealth and remote monitoring, including symptom reporting among at-risk under-resourced adults with COPD.

A smartphone app for preschool wheezing and reliability of medical history collection

BACKGROUND

The use of mobile applications helps improving self-management in adolescents with asthma. However, no evidence is available for children with preschool wheezing. In addition, we have no data on the reliability of medical history collected at visits. The first aim was to assess the feasibility of a smartphone app in the management of preschool wheezing; secondly we aimed to evaluate the reliability of anamnestic data collected during face-to-face medical interviews.

METHODS

Children with recurrent wheezing, age between 25 and 72 months, were randomly assigned to the intervention group, provided with a smartphone app for symptoms monitoring and asthma attack treatment, or to the control group, with a written action plan. At follow-up medical history was collected and the asthma control test and a clinical questionnaire were completed. App acceptability was also explored. Respiratory symptoms, medication and utilization of healthcare resources were collected. Plus, medical information obtained from the paper questionnaires was compared with data daily recorded by the app.

RESULTS

We enrolled 85 preschool children with recurrent wheezing: 43 assigned to the intervention and 42 to the control group. The average (SD) adherence to e-Diary compilation was 60 (15)%. The acceptance and usability of the intervention was favorable as 70% and 93% of participants in the intervention arm described the app as ''simple and intuitive'' at Visit1 (after 3 months from enrollement) and Visit2 (3 months later than Visit1), respectively and 95% and 98% found it useful in symptoms management. There were no significant differences between the two groups in clinical outcomes. At Visit1, the cACT median score (IQR) was 23,5 (21-25) for the control group (42 patients) and 23 (21-24) for the intervention group (43 patients). At Visit2 (41 controls and 42 in the intervention group) it was 25 (24-25) and 24 (24-25), respectively. Secondary analysis of data from the intervention group showed higher incidence of daily symptoms recorded by the app in comparison with the paper questionnaire, suggesting that collection of retrospective medical history may not be completely reliable.

CONCLUSIONS

The smartphone app is usable and acceptable by families of preschool wheezers. Future controlled trial are needed to prove an impact on clinical outcomes or its efficacy in a telemedicine program. Finally a daily questionnaire could provide physicians with a more reliable clinical picture as reflected better daily asthma symptoms than the written retrospective questionnaire filled at clinical visit.

A mobile-based self-care application for patients with chronic obstructive pulmonary disease: A protocol for design, implementation, and evaluation

Background and Aims

Education and providing self-care skills are essential for patients with chronic respiratory disease. Today, the use of information and communication technologies has provided many opportunities for facilitating self-care in chronic patients. In this regard, the attention of researchers has been shifted toward the design and use of mobile phone-based technologies for self-care purposes in patients with chronic obstructive pulmonary disease (COPD). In this study, a protocol is proposed for the design, implementation, and evaluation of a mobile-based self-care application for patients with COPD.

Methods

The design science approach will be used in the design, implementation, and evaluation of the self-care application. This solution-oriented paradigm goes beyond the level of description and explanation and takes steps toward problem-solving. One of the most common models of design science is the waterfall model of information technology development. The seven consecutive stages of the waterfall model include preliminary analysis, system analysis, design, programming, testing, implementation, and maintenance/modification.

Conclusion

The present protocol is the first to design, implement, and evaluate a mobile-based self-care application for patients with COPD in Iran. The integration of new technologies for the self-care education of COPD patients is considered an innovative strategy. This application is designed based on the self-care needs of COPD patients, which will ultimately promote the self-care activities of patients.

A Smartphone App to Support Self-Management for People Living With Sjögren's Syndrome: Qualitative Co-Design Workshops

BACKGROUND

Sjögren's syndrome (SS) is the second most common autoimmune rheumatic disease, and the range of symptoms includes fatigue, dryness, sleep disturbances, and pain. Smartphone apps may help deliver a variety of cognitive and behavioral techniques to support self-management in SS. However, app-based interventions must be carefully designed to promote engagement and motivate behavior change.

OBJECTIVE

We aimed to explore self-management approaches and challenges experienced by people living with SS and produce a corresponding set of design recommendations that inform the design of an engaging, motivating, and evidence-based self-management app for those living with SS.

METHODS

We conducted a series of 8 co-design workshops and an additional 3 interviews with participants who were unable to attend a workshop. These were audio recorded, transcribed, and initially thematically analyzed using an inductive approach. Then, the themes were mapped to the Self-Determination Theory domains of competency, autonomy, and relatedness.

RESULTS

Participants experienced a considerable demand in the daily work required in self-managing their SS. The condition demanded unrelenting, fluctuating, and unpredictable mental, physical, and social efforts. Participants used a wide variety of techniques to self-manage their symptoms; however, their sense of competency was undermined by the complexity and interconnected nature of their symptoms and affected by interactions with others. The daily contexts in which this labor was occurring revealed ample opportunities to use digital health aids. The lived experience of participants showed that the constructs of competency, autonomy, and relatedness existed in a complex equilibrium with each other. Sometimes, they were disrupted by tensions, whereas on other occasions, they worked together harmoniously.

CONCLUSIONS

An SS self-management app needs to recognize the complexity and overlap of symptoms and the complexities of managing the condition in daily life. Identifying techniques that target several symptoms simultaneously may prevent users from becoming overwhelmed. Including techniques that support assertiveness and communication with others about the condition, its symptoms, and users' limitations may support users in their interactions with others and improve engagement in symptom management strategies. For digital health aids (such as self-management apps) to provide meaningful support, they should be designed according to human needs such as competence, autonomy, and relatedness. However, the complexities among the 3 Self-Determination Theory constructs should be carefully considered, as they present both design difficulties and opportunities.

Are older adults considered in asthma and chronic obstructive pulmonary disease mobile health research? A scoping review

BACKGROUND

The use of mobile health (mHealth) for asthma and chronic obstructive pulmonary disease (COPD) is rapidly growing and may help address the complex respiratory care needs of our ageing population. However, little is currently known about how airways mHealth is developed and used among older adults (≥65 years).

OBJECTIVE

To identify if and how older adults with asthma and COPD have been incorporated across the mHealth research cycle.

METHODS

We searched Ovid MEDLINE, EMBASE, CINAHL and the Cochrane Central Registry of Controlled Trials for studies pertaining to the development or evaluation of asthma and COPD mHealth for adults published after 2010. Study, participant and mHealth details, including any considerations of older age, were extracted, synthesised and charted.

RESULTS

A total of 334 studies of 191 mHealth tools were identified. Adults ≥65 years old were included in 33.3% of asthma mHealth studies and 85.3% of COPD studies. Discussions of older age focused on barriers to technology use. Methodologic and/or analytic considerations of older age were mostly absent throughout the research cycle. Among the 28 instances quantitative age-related analyses were detailed, 12 described positive mHealth use and satisfaction outcomes in older adults versus negative or equivocal outcomes.

CONCLUSION

We identified an overall lack of consideration for older age throughout the airways mHealth research cycle, even among COPD mHealth studies that predominantly included older adults. We also found a contrast between the perceptions of how older age might negatively influence mHealth use and available quantitative evaluations. Future airways mHealth research must better integrate the needs and concerns of older adults.

Exploring the Perspectives and Experiences of Older Adults With Asthma and Chronic Obstructive Pulmonary Disease Toward Mobile Health: Qualitative Study

BACKGROUND

The use of mobile health (mHealth) in asthma and chronic obstructive pulmonary disease (COPD) is growing, and as the population ages, a greater number of older adults stand to benefit from mHealth-enhanced airway disease care. Though older adults are a heterogeneous population of health technology users, older age represents a potential barrier to health technology adoption, and there is currently a lack of knowledge on how older age influences mHealth use in asthma and COPD.

OBJECTIVE

In this qualitative study, we sought to explore the experiences and perspectives of adults who were aged 65 years and older with asthma and COPD toward mHealth use.

METHODS

Semistructured individual interviews were conducted with adults who were aged 65 years and older with asthma or COPD and owned a smartphone. Applying phenomenological methodology, we analyzed interview transcripts in order to develop themes and propose an essential experience of mHealth use among older adults with airway disease. We then summarized our qualitative findings and proposed strategies to leverage our results in order to guide future research and implementation efforts targeting older adults' use of airway mHealth.

RESULTS

Twenty participants (mean age 79.8, SD 4.4 years) were interviewed. Participants described a central tension between (1) the perception that mHealth could help maintain independence throughout aging and (2) an apprehension toward the ways in which mHealth could negatively affect established health care experiences. Several elements of these 2 themes are absent from previous research focusing on younger adults with asthma and COPD. The individual elements of these 2 themes informed potential strategies to optimize future older adults' use of asthma and COPD mHealth tools.

CONCLUSIONS

Focusing on the perspectives and experiences of older adults with asthma and COPD in their use of mHealth identified novel understandings of health technology use in this important demographic in need of greater care. These lessons were translated into potential strategies that will need to be objectively evaluated in future airway mHealth research, development, and implementation efforts.

Self-management education for children with epilepsy and their caregivers. A scoping review

Self-management education programs have been highly successful in preparing people to manage medical conditions with recurring events. A detailed curriculum for epilepsy patients, and their caretakers, is lacking. Here we assess what is available for patients who have disorders with recurring events and offer an approach to developing a potential self-care curriculum for patients with seizures and their caregivers. Among the anticipated components are a baseline efficacy assessment and training tailored to increasing self-efficacy, medication compliance, and stress management. Those at risk of status epilepticus will also need guidance in preparing a personalized seizure action plan and training in how to decide when rescue medication is appropriate and how to administer the therapy. Peers, as well as professionals, could teach and provide support. To our knowledge, no such programs are currently available in English. We encourage their creation, dissemination, and widespread use.

Long-Term Usage and Improved Clinical Outcomes with Adoption of a COPD Digital Support Service: Key Findings from the RECEIVER Trial

Purpose

Digital tools may improve chronic obstructive pulmonary disease (COPD) management, but further evidence of significant, persisting benefits are required. The RECEIVER trial was devised to evaluate the Lenus COPD support service by determining if people with severe COPD would continue to utilize the co-designed patient web application throughout study follow-up and to explore the impact of this digital service on clinical outcomes with its adoption alongside routine care.

Patients and Methods

The prospective observational cohort hybrid implementation-effectiveness study began in September 2019 and included 83 participants. Recruitment stopped in March 2020 due to COVID-19, but follow-up continued as planned. A contemporary matched control cohort was identified to compare participant clinical outcomes with and minimize biases associated with wider COVID-19 impacts. Utilization was determined by daily COPD assessment test (CAT) completion through the application. Survival metrics and post-index date changes in annual hospitalizations were compared between the RECEIVER and control cohorts. Longitudinal quality of life and symptom burden data and community-managed exacerbation events were also captured through the application.

Results

High and sustained application utilization was noted across the RECEIVER cohort with a mean follow-up of 78 weeks (64/83 participants completed at least one CAT entry on ≥50% of possible follow-up weeks). Subgroup analysis of participants resident in more socioeconomically deprived postcode areas revealed equivalent utilization. Median time to death or a COPD or respiratory-related admission was higher in the RECEIVER cohort compared to control (335 days vs 155 days). Mean reduction in annual occupied bed days was 8.12 days vs 3.38 days in the control cohort. Quality of life and symptom burden remained stable despite the progressive nature of COPD.

Conclusion

The sustained utilization of the co-designed patient application and improvements in participant outcomes observed in the RECEIVER trial support scale-up implementation with continued evaluation of this digital service.

Mobile heath applications for self-management in chronic lung disease: a systematic review

Integration of mobile health (mHealth) applications (apps) into chronic lung disease management is becoming increasingly popular. MHealth apps may support adoption of self-management behaviors to assist people in symptoms control and quality of life enhancement. However, mHealth apps' designs, features, and content are inconsistently reported, making it difficult to determine which were the effective components. Therefore, this review aims to summarize the characteristics and features of published mHealth apps for chronic lung diseases. A structured search strategy across five databases (CINAHL, Medline, Embase, Scopus and Cochrane) was performed. Randomized controlled trials investigating interactive mHealth apps in adults with chronic lung disease were included. Screening and full-text reviews were completed by three reviewers using Research Screener and Covidence. Data extraction followed the mHealth Index and Navigation Database (MIND) Evaluation Framework (https://mindapps.org/), a tool designed to help clinicians determine the best mHealth apps to address patients' needs. Over 90,000 articles were screened, with 16 papers included. Fifteen distinct apps were identified, 8 for chronic obstructive pulmonary disease (53%) and 7 for asthma (46%) self-management. Different resources informed app design approaches, accompanied with varying qualities and features across studies. Common reported features included symptom tracking, medication reminders, education, and clinical support. There was insufficient information to answer MIND questions regarding security and privacy, and only five apps had additional publications to support their clinical foundation. Current studies reported designs and features of self-management apps differently. These app design variations create challenges in determining their effectiveness and suitability for chronic lung disease self-management. Registration: PROSPERO (CRD42021260205).

Supplementary Information

The online version contains supplementary material available at 10.1007/s13721-023-00419-0.

Retrospective assessment of a collaborative digital asthma program for Medicaid-enrolled children in southwest Detroit: reductions in short-acting beta-agonist (SABA) medication use

BACKGROUND

Real-world evidence for digitally-supported asthma programs among Medicaid-enrolled children remains limited. Using data from a collaborative quality improvement program, we evaluated the impact of a digital intervention on asthma inhaler use among children in southwest Detroit.

METHODS

Children (6-13 years) enrolled with Kids Health Connection (KHC), a program involving home visits with an asthma educator, were invited to participate in a digital self-management asthma program (Propeller Health). Patients were provided with a sensor to capture short-acting beta-agonist (SABA) medication use, and given access to a paired mobile app to track usage. Patients' healthcare providers and caregivers ("followers") were invited to view data as well. Retrospective paired t-tests assessed change in mean SABA use and SABA-free days (SFD) over time, and regressions explored the relationship between followers and medication use.

RESULTS

Fifty-one patients were assessed. Mean program participation was nine months, and patients had on average 3 followers. From the first to last participation month, mean SABA use decreased from 0.68 to 0.25 puffs/day (p < 0.001), and mean SFD increased from 25.2 to 28.1 days/month (p < 0.001). 76% of patients had an increase in the number of SFD. There was a positive, but non-significant, relationship between the number of followers and reductions in SABA inhaler use.

CONCLUSIONS

We observed a significant reduction in SABA inhaler use and an increase in the number of SABA-free days among Medicaid-enrolled children enrolled in a multi-modal digital asthma program.

Experiences of Using an Electronic Health Tool Among Health Care Professionals Involved in Chronic Obstructive Pulmonary Disease Management: Qualitative Analysis

BACKGROUND

Chronic obstructive pulmonary disease (COPD) is one of the most common and deadliest chronic diseases of the 21st century. eHealth tools are seen as a promising way of supporting health care professionals in providing evidence-based COPD care, for example, by reinforcing information and interventions provided to the patients and providing easier access and support to the health care professional themselves. Still, knowledge is scarce on the experience of using eHealth tools from the perspective of the health care professional involved in COPD management.

OBJECTIVE

The study explored the experiences of using an eHealth tool among health care professionals that worked with patients with COPD in their daily clinical practice.

METHODS

This exploratory qualitative study is part of a process evaluation in a parallel group, controlled, pragmatic pilot trial. Semistructured interviews were performed with 10 health care professionals 3 and 12 months after getting access to an eHealth tool, the COPD Web. The COPD Web, developed using cocreation, is an interactive web-based platform that aims to help health care professionals provide health-promoting strategies. Data from the interviews were analyzed using qualitative content analysis with an inductive approach.

RESULTS

The main results reflected health care professionals' experiences in 3 categories: receiving competence support and adjusting practice, improving quality of care, and efforts required for implementation. These categories highlighted that using an eHealth tool such as the COPD Web was experienced to provide knowledge support for health care professionals that led to adaptation and facilitation of working procedures and person-centered care. Taken together, these changes were perceived to improve the quality of care through enhanced patient contact and encouragement of interprofessional collaboration. In addition, health care professionals expressed that patients using the COPD Web were better equipped to tackle their disease and adhered better to provided treatment, increasing their self-management ability. However, structural and external barriers bar the successful implementation of an eHealth tool in daily praxis.

CONCLUSIONS

This study is among the first to explore experiences of using an eHealth tool among health care professionals involved in COPD management. Our novel findings highlight that using an eHealth tool such as the COPD Web may improve the quality of care for patients with COPD (eg, by providing knowledge support for health care professionals and adapting and facilitating working procedures). Our results also indicate that an eHealth tool fosters collaborative interactions between patients and health care professionals, which explains why eHealth is a valuable means of encouraging well-informed and autonomous patients. However, structural and external barriers requiring time, support, and education must be addressed to ensure that an eHealth tool can be successfully implemented in daily praxis.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02696187; https://clinicaltrials.gov/ct2/show/NCT02696187.

Acceptance and Dropout Rates of Individuals with Asthma Approached in Self-management Interventions: A Systematic Review and Meta-analysis

Objective

The objectives of this systematic review were to assess the acceptability of self-management interventions for people with asthma and identify contributing factors.

Methods

A systematic literature search was conducted using PubMed, MEDLINE, EMBASE (OVIDWEB), CINAHL and Cochrane databases. Clinical trials design was included if they met specified criteria. A random-effect meta-regression analysis was conducted to estimate the overall acceptance and drop-out rates and to assess the potential factors that may influence the outcomes.

Results

A total of 64 studies were included and 8,092 participants were recruited and participated in the trials. The estimated acceptance rate was 51.1%, while the estimated drop-out rates in the intervention and control groups were 18.2% and 15.6%, respectively. Lack of interest was the main reported reason for refusing to participate and dropping out from the program. Study-related and program-related factors influenced the acceptance and drop-out rates statistically and clinically.

Conclusion

The acceptance rate of self-management programs among asthmatic people was not high and the dropout rate was somewhat low. The review suggests optimizing the design of self-management studies and modifying the implemented self-management programs to increase the acceptance rate and decrease the dropout rate.

Telemedicine in the management of chronic obstructive pulmonary disease: A systematic review

Telemedicine is defined as the use of electronic technology for information and communication by healthcare professionals with patients (or care givers) aiming at providing and supporting healthcare to patients away from healthcare institutions. This systematic review over the last decade (2013-2022) investigates the use of telemedicine in patients with chronic obstructive pulmonary disease (COPD). We identified 53 publications related to: (1) home tele-monitorization; (2) tele-education and self-management; (3) telerehabilitation; and (4) mobile health (mHealth). Results showed that, although evidence is still weak in many of these domains, results are positive in terms of improvement of health-status, use of health-care resources, feasibility, and patient satisfaction. Importantly, no safety issues were identified. Thus, telemedicine can be considered today as a potential complement to usual healthcare.

Effectiveness of eAsthmaCare on Symptoms, Childhood Asthma Control Test, and Lung Function among Asthmatic Children

A web-based self-health management system-eAsthmaCare, was developed as an intervention for asthmatic children. A randomized controlled trial was performed. Consent was obtained for 98 children with asthma to participate in the study and the pre- and post-test data collection process. The experimental group was given access to eAsthmaCare online management, the control group was subjected to general asthma management. The experimental and control groups' asthma symptoms, Childhood Asthma Control Test (C-ACT) scores, and lung function were evaluated, and their pre- and 3-month post-test results were compared. The following records were maintained: (1) medication record (2) daily asthma symptoms log (3) monthly C-ACT and lung function records. The C-ACT results indicated a p-value of < .01 for: overall improvements to childhood asthma symptoms, time effect, group and time interaction effects, and group and time interaction effects in relation to sleeping condition on the previous day; cough symptom time effect, and group and time interaction effects; the two groups' time effect in relation to cough symptoms; the two groups' time effect in relation to monthly activity restrictions (number of days); and the two groups' time effect in relation to nasal symptoms; the two groups' time effect; and group and time interaction effects (p < .01). In terms of the predictive values for lung function (FVC, FEV1, PEFR), the improvements in both groups were not statistically significant. The implementation of the eAsthmaCare intervention might have a positive impact on pediatric patients, making it an effective management tool for monitoring asthmatic children's physical function and discomfort.

Multimorbidity in Difficult Asthma: The Need for Personalised and Non-Pharmacological Approaches to Address a Difficult Breathing Syndrome

Three to ten percent of people living with asthma have difficult-to-treat asthma that remains poorly controlled despite maximum levels of guideline-based pharmacotherapy. This may result from a combination of multiple adverse health issues including aggravating comorbidities, inadequate treatment, suboptimal inhaler technique and/or poor adherence that may individually or collectively contribute to poor asthma control. Many of these are potentially "treatable traits" that can be pulmonary, extrapulmonary, behavioural or environmental factors. Whilst evidence-based guidelines lead clinicians in pharmacological treatment of pulmonary and many extrapulmonary traits, multiple comorbidities increase the burden of polypharmacy for the patient with asthma. Many of the treatable traits can be addressed with non-pharmacological approaches. In the current healthcare model, these are delivered by separate and often disjointed specialist services. This leaves the patients feeling lost in a fragmented healthcare system where clinical outcomes remain suboptimal even with the best current practice applied in each discipline. Our review aims to address this challenge calling for a paradigm change to conceptualise difficult-to-treat asthma as a multimorbid condition of a "Difficult Breathing Syndrome" that consequently needs a holistic personalised care attitude by combining pharmacotherapy with the non-pharmacological approaches. Therefore, we propose a roadmap for an evidence-based multi-disciplinary stepped care model to deliver this.

Telemedicine as a Means to an End, Not an End in Itself

Telemedicine (TM)—the management of disease at a distance—has potential usefulness for patients with advanced respiratory disease. Underscoring this potential is the dramatic expansion of its applications in clinical medicine. However, since clinical studies testing this intervention often provide heterogeneous results, its role in the medical management of respiratory disorders remains inconclusive. A major problem in establishing TM’s effectiveness is that it is not a single intervention; rather, it includes a number of divergent diagnostic and therapeutic modalities—and each must be tested separately. Reflecting the discord between the need for further documentation of its approaches and effectiveness and its rapid utilization without this needed information, a major challenge is the lack of international guidelines for its integration, regulation, operational plans, and guidance for professionals. Tailored TM, with increased flexibility to address differing healthcare contexts, has the potential to improve access to and quality of services while reducing costs and direct input by health professionals. We should view TM as a tool to aid healthcare professionals in managing their patients with respiratory diseases rather than as a stand-alone substitute to traditional medical care. As such, TM is a means rather than an end.

Exploring the Effects of In-App Components on Engagement With a Symptom-Tracking Platform Among Participants With Major Depressive Disorder (RADAR-Engage): Protocol for a 2-Armed Randomized Controlled Trial

BACKGROUND

Multi-parametric remote measurement technologies (RMTs) comprise smartphone apps and wearable devices for both active and passive symptom tracking. They hold potential for understanding current depression status and predicting future depression status. However, the promise of using RMTs for relapse prediction is heavily dependent on user engagement, which is defined as both a behavioral and experiential construct. A better understanding of how to promote engagement in RMT research through various in-app components will aid in providing scalable solutions for future remote research, higher quality results, and applications for implementation in clinical practice.

OBJECTIVE

The aim of this study is to provide the rationale and protocol for a 2-armed randomized controlled trial to investigate the effect of insightful notifications, progress visualization, and researcher contact details on behavioral and experiential engagement with a multi-parametric mobile health data collection platform, Remote Assessment of Disease and Relapse (RADAR)-base.

METHODS

We aim to recruit 140 participants upon completion of their participation in the RADAR Major Depressive Disorder study in the London site. Data will be collected using 3 weekly tasks through an active smartphone app, a passive (background) data collection app, and a Fitbit device. Participants will be randomly allocated at a 1:1 ratio to receive either an adapted version of the active app that incorporates insightful notifications, progress visualization, and access to researcher contact details or the active app as usual. Statistical tests will be used to assess the hypotheses that participants using the adapted app will complete a higher percentage of weekly tasks (behavioral engagement: primary outcome) and score higher on self-awareness measures (experiential engagement).

RESULTS

Recruitment commenced in April 2021. Data collection was completed in September 2021. The results of this study will be communicated via publication in 2022.

CONCLUSIONS

This study aims to understand how best to promote engagement with RMTs in depression research. The findings will help determine the most effective techniques for implementation in both future rounds of the RADAR Major Depressive Disorder study and, in the long term, clinical practice.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04972474; http://clinicaltrials.gov/ct2/show/NCT04972474.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/32653.

Feasibility of RESP-FIT: Technology-Enhanced Self-Management Intervention for Adults with COPD

INTRODUCTION

Chronic obstructive pulmonary disease (COPD) is associated with substantial functional morbidity, including activity-limiting symptoms such as dyspnea and fatigue. Self-management interventions aid in symptomatic management of COPD and have been shown to produce positive outcomes on quality of life (QOL) and reduce hospital admissions.

PURPOSE

The purpose of this randomized controlled longitudinal pilot study was to assess feasibility of the combined Respiratory Fitness (RESP-FIT) + Smartphone Airway Management System (SAMS) program, a 6-week, self-management, technology-enhanced respiratory muscle strength training (RMST) mHealth intervention.

PATIENTS AND METHODS

Feasibility was assessed by evaluating recruitment, retention, acceptability, adherence, and safety data. Data were collected from 30 participants (15 in intervention group, 15 in control) at 3 time points (baseline, 6 weeks, and 14 weeks). The intervention group was requested to perform RMST at regular intervals during the week (5 breaths, 5 times a day, 5 days a week). Bluetooth enabled tracking was used to track training sessions. Data were analyzed using descriptive statistics.

RESULTS

Recruitment was staggered for device usage and was completed in 57 weeks, with near 90% retention from baseline to end-of-intervention. Mobile application rating scale scores and interview data indicated moderate satisfaction. Participants completed 14,388 actions in the app. The most commonly used features were recording of daily symptoms via ecological momentary assessment (EMA) and tracking RMST if assigned to training sessions. Training days were successfully captured using EMA, but Bluetooth enabled training tracking was found to be not feasible. Overall, participants reported satisfaction with the RESP-FIT + SAMS mHealth intervention and found it acceptable.

CONCLUSION

RESP-FIT is feasible and enables real-time COPD symptom assessment in the home environment, but additional work is needed to integrate Bluetooth technology into the platform. Ongoing investigations focus on the accuracy of symptom perception, self-efficacy, and momentary factors that impact adherence behaviors.

A qualitative study of clinician perceptions regarding the potential role for digital health interventions for the management of COPD

Effective self-management of chronic obstructive pulmonary disease (COPD) can lead to increased patient control and reduced health care costs. However, both patients and healthcare professionals encounter significant challenges. Digital health interventions, such as smart oximeters and COPD self-management applications, promise to enhance the management of COPD, yet, there is little evidence to support their use and user-experience issues are still common. Understanding the needs of healthcare professionals is central for increasing adoption and engagement with digital health interventions but little is known about their perceptions of digital health interventions in COPD. This paper explored the perceptions of healthcare professionals regarding the potential role for DHI in the management of COPD. Snowball sampling was used to recruit the participants (n = 32). Each participant underwent a semi-structured interview. Using NVivo 12 software, thematic analysis was completed. Healthcare professionals perceive digital health interventions providing several potential benefits to the management of COPD including the capture of patient status indicators during the interappointment period, providing new patient data to support the consultation process and perceived digital health interventions as a potential means to improve patient engagement. The findings offer new insights regarding potential future use-cases for digital health interventions in COPD, which can help ease user-experience issues as they align with the needs of healthcare professionals.

Digital Health Technology in Asthma: A Comprehensive Scoping Review

BACKGROUND

A variety of digital intervention approaches have been investigated for asthma therapy during the past decade, with different levels of interactivity and personalization and a range of impacts on different outcome measurements.

OBJECTIVE

To assess the effectiveness of digital interventions in asthma with regard to acceptability and outcomes and evaluate the potential of digital initiatives for monitoring or treating patients with asthma.

METHODS

We evaluated digital interventions using a scoping review methodology through a literature search and review. Of 871 articles identified, 121 were evaluated to explore intervention characteristics, the perception and acceptability of digital interventions to patients and physicians, and effects on asthma outcomes. Interventions were categorized by their level of interactivity with the patient.

RESULTS

Interventions featuring non-individualized content sent to patients appeared capable of promoting improved adherence to inhaled corticosteroids, but with no identified improvement in asthma burden; and data-gathering interventions appeared to have little effect on adherence or asthma burden. Evidence of improvement in both adherence and patients' impairment due to asthma were seen only with interactive interventions involving two-way responsive patient communication. Digital interventions were generally positively perceived by patients and physicians. Implementation was considered feasible, with certain preferences for design and features important to drive use.

CONCLUSIONS

Digital health interventions show substantial promise for asthma disease monitoring and personalization of treatment. To be successful, future interventions will need to include both inhaler device and software elements, combining accurate measurement of clinical parameters with careful consideration of ease of use, personalization, and patient engagement aspects.

Experiences and Factors Affecting Usage of an eHealth Tool for Self-Management Among People With Chronic Obstructive Pulmonary Disease: Qualitative Study

Background

Self-management strategies are regarded as highly prioritized in chronic obstructive pulmonary disease (COPD) treatment guidelines. However, individual and structural barriers lead to a staggering amount of people with COPD that are not offered support for such strategies, and new approaches are urgently needed to circumvent these barriers. A promising way of delivering health services such as support for self-management strategies is the use of eHealth tools. However, there is a lack of knowledge about the usage of, and factors affecting the use of, eHealth tools over time in people with COPD.

Objective

This study aimed, among people with COPD, to explore and describe the experiences of an eHealth tool over time and factors that might affect usage.

Methods

The eHealth tool included information on evidence-based self-management treatment for people with COPD, including texts, pictures, videos as well as interactive components such as a step registration function with automatized feedback. In addition to the latter, automated notifications of new content and pedometers were used as triggers to increase usage. After having access to the tool for 3 months, 16 individuals (12 women) with COPD were individually interviewed. At 12 months’ access to the tool, 7 (5 women) of the previous 16 individuals accepted a second individual interview. Data were analyzed using qualitative content analysis. User frequency was considered in the analysis, and participants were divided into users and nonusers/seldom users depending on the number of logins and minutes of usage per month.

Results

Three main categories, namely, ambiguous impact, basic conditions for usage, and approaching capability emerged from the analysis, which, together with their subcategories, reflect the participants’ experiences of using the eHealth tool. Nonusers/seldom users (median 1.5 logins and 1.78 minutes spent on the site per month) reported low motivation, a higher need for technical support, a negative view about the disease and self-management, and had problematic health literacy as measured by the Communicative and Critical Health Literacy Scale (median [range] 154 [5-2102]). Users (median 10 logins and 43 minutes per month) felt comfortable with information technology (IT) tools, had a positive view on triggers, and had sufficient health literacy (median [range] 5 [5-1400]). Benefits including behavior changes were mainly expressed after 12 months had passed and mainly among users.

Conclusions

Findings of this study indicate that the level of motivation, comfortability with IT tools, and the level of health literacy seem to affect usage of an eHealth tool over time. Besides, regarding behavioral changes, gaining benefits from the eHealth tool seems reserved for the users and specifically after 12 months, thus suggesting that eHealth tools can be suitable media for supporting COPD-specific self-management skills, although not for everyone or at all times. These novel findings are of importance when designing new eHealth tools as well as when deciding on whether or not an eHealth tool might be appropriate to use if the goal is to support self-management among people with COPD.

Trial Registration

ClinicalTrials.gov NCT02696187; https://clinicaltrials.gov/ct2/show/NCT02696187

International Registered Report Identifier (IRRID)

RR2-10.1136/bmjopen-2017-016851

InspirerMundi-Remote Monitoring of Inhaled Medication Adherence through Objective Verification Based on Combined Image Processing Techniques

Background  The adherence to inhaled controller medications is of critical importance for achieving good clinical results in patients with chronic respiratory diseases. Self-management strategies can result in improved health outcomes and reduce unscheduled care and improve disease control. However, adherence assessment suffers from difficulties on attaining a high grade of trustworthiness given that patient self-reports of high-adherence rates are known to be unreliable.

Objective  Aiming to increase patient adherence to medication and allow for remote monitoring by health professionals, a mobile gamified application was developed where a therapeutic plan provides insight for creating a patient-oriented self-management system. To allow a reliable adherence measurement, the application includes a novel approach for objective verification of inhaler usage based on real-time video capture of the inhaler's dosage counters.

Methods  This approach uses template matching image processing techniques, an off-the-shelf machine learning framework, and was developed to be reusable within other applications. The proposed approach was validated by 24 participants with a set of 12 inhalers models.

Results  Performed tests resulted in the correct value identification for the dosage counter in 79% of the registration events with all inhalers and over 90% for the three most widely used inhalers in Portugal. These results show the potential of exploring mobile-embedded capabilities for acquiring additional evidence regarding inhaler adherence.

Conclusion  This system helps to bridge the gap between the patient and the health professional. By empowering the first with a tool for disease self-management and medication adherence and providing the later with additional relevant data, it paves the way to a better-informed disease management decision.

Blended Self-Management Interventions to Reduce Disease Burden in Patients With Chronic Obstructive Pulmonary Disease and Asthma: Systematic Review and Meta-analysis

Background

Chronic obstructive pulmonary disease (COPD) and asthma have a high prevalence and disease burden. Blended self-management interventions, which combine eHealth with face-to-face interventions, can help reduce the disease burden.

Objective

This systematic review and meta-analysis aims to examine the effectiveness of blended self-management interventions on health-related effectiveness and process outcomes for people with COPD or asthma.

Methods

PubMed, Web of Science, COCHRANE Library, Emcare, and Embase were searched in December 2018 and updated in November 2020. Study quality was assessed using the Cochrane risk of bias (ROB) 2 tool and the Grading of Recommendations, Assessment, Development, and Evaluation.

Results

A total of 15 COPD and 7 asthma randomized controlled trials were included in this study. The meta-analysis of COPD studies found that the blended intervention showed a small improvement in exercise capacity (standardized mean difference [SMD] 0.48; 95% CI 0.10-0.85) and a significant improvement in the quality of life (QoL; SMD 0.81; 95% CI 0.11-1.51). Blended intervention also reduced the admission rate (relative ratio [RR] 0.61; 95% CI 0.38-0.97). In the COPD systematic review, regarding the exacerbation frequency, both studies found that the intervention reduced exacerbation frequency (RR 0.38; 95% CI 0.26-0.56). A large effect was found on BMI (d=0.81; 95% CI 0.25-1.34); however, the effect was inconclusive because only 1 study was included. Regarding medication adherence, 2 of 3 studies found a moderate effect (d=0.73; 95% CI 0.50-0.96), and 1 study reported a mixed effect. Regarding self-management ability, 1 study reported a large effect (d=1.15; 95% CI 0.66-1.62), and no effect was reported in that study. No effect was found on other process outcomes. The meta-analysis of asthma studies found that blended intervention had a small improvement in lung function (SMD 0.40; 95% CI 0.18-0.62) and QoL (SMD 0.36; 95% CI 0.21-0.50) and a moderate improvement in asthma control (SMD 0.67; 95% CI 0.40-0.93). A large effect was found on BMI (d=1.42; 95% CI 0.28-2.42) and exercise capacity (d=1.50; 95% CI 0.35-2.50); however, 1 study was included per outcome. There was no effect on other outcomes. Furthermore, the majority of the 22 studies showed some concerns about the ROB, and the quality of evidence varied.

Conclusions

In patients with COPD, the blended self-management interventions had mixed effects on health-related outcomes, with the strongest evidence found for exercise capacity, QoL, and admission rate. Furthermore, the review suggested that the interventions resulted in small effects on lung function and QoL and a moderate effect on asthma control in patients with asthma. There is some evidence for the effectiveness of blended self-management interventions for patients with COPD and asthma; however, more research is needed.

Trial Registration

PROSPERO International Prospective Register of Systematic Reviews CRD42019119894; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=119894

New Insights into Activities of Daily Living Performance in Chronic Obstructive Pulmonary Disease

Purpose

There have been calls for more knowledge of activities of daily living (ADL) performance in order to address interventions in pulmonary rehabilitation effectively. Everyday technology (ET) has become an integrated dimension of ADL, impacting the ways in which ADL is performed. To improve everyday functioning and quality of life, the use of ADL and ET use needs to be evaluated and addressed effectively in interventions. Therefore, the aim of this study was twofold: 1) to explore the quality of ADL performance, and 2) to investigate the relationship between observation and self-reported ADL performance and ability to use everyday technologies in people living with COPD.

Methods

This cross-sectional study involved 84 participants aged 46–87 years. Participants were recruited through healthcare centres in the Northern Region of Denmark using a convenience sampling procedure. Data were collected using standardized assessments that investigated different ADL perspectives: self-reported ADL tasks and ET use, observed motor and process ability, and need for assistance. Data were analysed and presented using descriptive statistics and Pearson’s correlation coefficient.

Results

The most affected ADL tasks were mobility within or outside the home, lower dressing, bathing, pedicuring, cooking, shopping, cleaning and washing clothes. New insights into the quality of ADL performance in people living with COPD were presented in terms of detailed ADL motor skills and ADL process skills, as well as the predicted need for support to function in the community. Moreover, new insights into the relationship between observation and self-reported ADL performance (r=0.546, p<0.01; r=0.297, p<0.01) and between ADL performance and self-perceived ability to use ET (r=0.524, p<0.01; r=0.273, p<0.05; r=0.044, p=0.692) were presented.

Conclusion

Overall, the knowledge from the present study is valuable for focusing interventions that address challenging ADL performance and ET use through relevant and realistic activities. The ability to use ET is important to evaluate and target pulmonary rehabilitation.

Addressing Reduced Laboratory-Based Pulmonary Function Testing During a Pandemic

To reduce the spread of the severe acute respiratory syndrome coronavirus 2, many pulmonary function testing (PFT) laboratories have been closed or have significantly reduced their testing capacity. Because these mitigation strategies may be necessary for the next 6 to 18 months to prevent recurrent peaks in disease prevalence, fewer objective measurements of lung function will alter the diagnosis and care of patients with chronic respiratory diseases. PFT, which includes spirometry, lung volume, and diffusion capacity measurement, is essential to the diagnosis and management of patients with asthma, COPD, and other chronic lung conditions. Both traditional and innovative alternatives to conventional testing must now be explored. These may include peak expiratory flow devices, electronic portable spirometers, portable exhaled nitric oxide measurement, airwave oscillometry devices, and novel digital health tools such as smartphone microphone spirometers and mobile health technologies along with integration of machine learning approaches. The adoption of some novel approaches may not merely replace but could improve existing management strategies and alter common diagnostic paradigms. With these options comes important technical, privacy, ethical, financial, and medicolegal barriers that must be addressed. However, the coronavirus disease 19 pandemic also presents a unique opportunity to augment conventional testing by including innovative and emerging approaches to measuring lung function remotely in patients with respiratory disease. The benefits of such an approach have the potential to enhance respiratory care and empower patient self-management well beyond the current global pandemic.

Telemedicine in COPD: An Overview by Topics

COPD is a major cause of morbidity and mortality worldwide and carries a huge and growing economic and social burden. Telemedicine might allow the care of patients with limited access to health services and improve their self-management. During the COVID-19 pandemic, patient's safety represents one of the main reasons why we might use these tools to manage our patients. The authors conducted a literature search in MEDLINE database. The retrieval form of the Medical Subject Headings (Mesh) was ((Telemedicine OR Tele-rehabilitation OR Telemonitoring OR mHealth OR Ehealth OR Telehealth) AND COPD). We only included systematic reviews, reviews, meta-analysis, clinical trials and randomized-control trials, in the English language, with the selected search items in title or abstract, and published from January 1st 2015 to 31st May 2020 (n = 56). There was a positive tendency toward benefits in tele-rehabilitation, health-education and self-management, early detection of COPD exacerbations, psychosocial support and smoking cessation, but the heterogeneity of clinical trials and reviews limits the extent to which this value can be understood. Telemonitoring interventions and cost-effectiveness had contradictory results. The literature on teleconsultation was scarce during this period. The non-inferiority tendency of telemedicine programmes comparing to conventional COPD management seems an opportunity to deliver quality healthcare to COPD patients, with a guarantee of patient's safety, especially during the COVID-19 outbreak.

A user-centered, learning asthma smartphone application for patients and providers

PROBLEM

Smartphone applications are an increasingly useful part of patients' self-management of chronic health conditions. Asthma is a common chronic health condition for which good self-management by patients is very helpful in maintaining stability. User-centered design and intelligent systems that learn are steps forward in building applications that are more effective in providing quality care that is scalable and tailored to each patient.

METHODS

A literature and application store search to review historic and current asthma smart phone applications. User-centered design is a methodology that involves all stakeholders of a proposed system from the beginning of the design phase to the end of installation. One aspect of this user-centered approach involved conducting focus groups with patients and health care providers to determine what features they desire for use in applications and create a model to build smart infrastructure for a learning health care system. A simple prototype for an asthma smartphone application is designed and built with basic functionality.

OUTCOMES

Only one publication in the literature review of asthma smartphone applications describes both user-centered design and intelligent learning systems. The authors have presented a set of user-desired attributes for a smart health care application and a possible data flow diagram of information for a learning system. A prototype simple user-centered designed asthma smartphone application that better assists patients in their care illustrates the value of the proposed architecture.

DISCUSSION

Our user-centered approach helped design and implement a learning prototype smart phone application to help patients better manage their asthma and provide information to clinical care providers. While popular in other industries, user-centered design has had slow adoption in the health care area. However, the popularity of this approach is increasing and will hopefully result in mobile application that better meets the needs of both patients and their care providers.

The Use of a Smartphone App and an Activity Tracker to Promote Physical Activity in the Management of Chronic Obstructive Pulmonary Disease: Randomized Controlled Feasibility Study

Background

Chronic obstructive pulmonary disease (COPD) is highly prevalent and significantly affects the daily functioning of patients. Self-management strategies, including increasing physical activity, can help people with COPD have better health and a better quality of life. Digital mobile health (mHealth) techniques have the potential to aid the delivery of self-management interventions for COPD. We developed an mHealth intervention (Self-Management supported by Assistive, Rehabilitative, and Telehealth technologies-COPD [SMART-COPD]), delivered via a smartphone app and an activity tracker, to help people with COPD maintain (or increase) physical activity after undertaking pulmonary rehabilitation (PR).

Objective

This study aimed to determine the feasibility and acceptability of using the SMART-COPD intervention for the self-management of physical activity and to explore the feasibility of conducting a future randomized controlled trial (RCT) to investigate its effectiveness.

Methods

We conducted a randomized feasibility study. A total of 30 participants with COPD were randomly allocated to receive the SMART-COPD intervention (n=19) or control (n=11). Participants used SMART-COPD throughout PR and for 8 weeks afterward (ie, maintenance) to set physical activity goals and monitor their progress. Questionnaire-based and physical activity–based outcome measures were taken at baseline, the end of PR, and the end of maintenance. Participants, and health care professionals involved in PR delivery, were interviewed about their experiences with the technology.

Results

Overall, 47% (14/30) of participants withdrew from the study. Difficulty in using the technology was a common reason for withdrawal. Participants who completed the study had better baseline health and more prior experience with digital technology, compared with participants who withdrew. Participants who completed the study were generally positive about the technology and found it easy to use. Some participants felt their health had benefitted from using the technology and that it assisted them in achieving physical activity goals. Activity tracking and self-reporting were both found to be problematic as outcome measures of physical activity for this study. There was dissatisfaction among some control group members regarding their allocation.

Conclusions

mHealth shows promise in helping people with COPD self-manage their physical activity levels. mHealth interventions for COPD self-management may be more acceptable to people with prior experience of using digital technology and may be more beneficial if used at an earlier stage of COPD. Simplicity and usability were more important for engagement with the SMART-COPD intervention than personalization; therefore, the intervention should be simplified for future use. Future evaluation will require consideration of individual factors and their effect on mHealth efficacy and use; within-subject comparison of step count values; and an opportunity for control group participants to use the intervention if an RCT were to be carried out. Sample size calculations for a future evaluation would need to consider the high dropout rates.

Exploring the barriers and facilitators for the use of digital health technologies for the management of COPD: a qualitative study of clinician perceptions

BACKGROUND

Digital health technology (DHT) promises to support patients and healthcare professionals (HCPs) to optimize the management of chronic obstructive pulmonary disease (COPD). However, there is a lack of evidence demonstrating the effectiveness of DHT for the management of COPD. One reason for this is the lack of user-involvement in the development of DHT interventions in COPD meaning their needs and preferences are rarely accounted for in the design phase. Although HCP adoption issues have been identified in relation to DHT, little is known about the challenges perceived by HCPs providing care to COPD patients. Therefore, this study aims to qualitatively explore the barriers and facilitators HCPs perceive for the use of DHT in the management of COPD.

METHODS

Participants (n = 32) were recruited using snowball sampling from two university hospitals and several general practitioner clinics. A semi-structured interview was conducted with each participant. NVivo 12 software was used to complete thematic analysis on the data.

RESULTS

Themes identified include: data quality; evidence-based care; resource constraints; and digital literacy presented as barriers; and facilitators include the following themes: digital health training and education; improving HCP digital literacy; and Personalized prescribing. Patient-centered approaches, such as pulmonary rehabilitation and shared decision-making were suggested as implementation strategies to ease the adoption of digital health for the management of COPD.

CONCLUSION

These findings contribute new insights about the needs and preferences of HCPs working in COPD regarding DHT. The findings can be used to help mitigate user-experience issues by informing the design of person-centered implementation and adoption strategies for future digital health interventions in COPD.

Constructing an assessment framework for the quality of asthma smartphone applications

BACKGROUND

Enhancing the self-management capability of asthma patients can improve their level of asthma control. Although the use of mobile health technology among asthmatics to facilitate self-management has become a growing area of research, studies of mobile health applications (apps), especially for evaluating indicators of asthma apps, are deficient in scope. This study aimed to develop a reliable framework to assess asthma apps (i.e., content and behavior change strategies) using the Delphi survey technique.

METHODS

An initial list of quality rating criteria for asthma apps was derived from reviewing the literature and experts in the fields of respiratory disease and nursing informatics rated the items on the list in three rounds. The weights of items were determined employing an analytic hierarchy process (AHP).

RESULTS

Sixty-two items were retained within 10 domains. Consensus was reached on 32 items concerning asthma self-management education, 25 items concerning behavioral change strategies, and five items concerning principles for app design. There was moderate agreement among participants across all items in round three. The weights of the dimensions, sub-dimensions, and items ranged from 0.049 to 0.203, 0.138 to 1.000, and 0.064 to 1.000, respectively. All random consistency ratio values were less than 0.1.

CONCLUSIONS

Asthma self-management education and strategies are essential parts to support self-management for patients. This analysis provides evidence of evaluating criteria for apps targeting chronic and common diseases.

Examination of the uses, needs, and preferences for health technology use in adolescents with asthma

Objective: To examine the health technology uses and preferences of adolescents with asthma using a qualitative descriptive individual interview approach. Methods: Twenty adolescents were recruited from regularly scheduled asthma clinic appointments from February to July 2016. Patients were interviewed about their technology use and ways in which health technology could improve their asthma management using an open-ended semi-structured interview format. Interviews were audio recorded, transcribed, and coded into themes. Results: Social media (e.g. Snapchat, Instagram) and general communication (e.g. messaging) were the most common uses of technology while medical reminders (e.g. appointment, refill, medication) were the most common use of health technology. Adolescents identified ways in which health technology could improve their asthma management including (1) tracking symptoms and medication, (2) medical reminders, and (3) asthma and self-management knowledge specifically related to medications and individual action plans. Other themes that emerged included a desire to customize health technology to fit with individual schedules and medical routines and use of health technology data with medical providers. Conclusions: Adolescents and parents experience a number of challenges related to managing asthma, and health technology interventions should focus on ways to improve adherence and self-management. Future research considerations and potential interventions including ways to integrate adolescent preferences with evidence-based interventions are discussed.

Determination of Personalized Asthma Triggers From Multimodal Sensing and a Mobile App: Observational Study

BACKGROUND

Asthma is a chronic pulmonary disease with multiple triggers. It can be managed by strict adherence to an asthma care plan and by avoiding these triggers. Clinicians cannot continuously monitor their patients' environment and their adherence to an asthma care plan, which poses a significant challenge for asthma management.

OBJECTIVE

In this study, pediatric patients were continuously monitored using low-cost sensors to collect asthma-relevant information. The objective of this study was to assess whether kHealth kit, which contains low-cost sensors, can identify personalized triggers and provide actionable insights to clinicians for the development of a tailored asthma care plan.

METHODS

The kHealth asthma kit was developed to continuously track the symptoms of asthma in pediatric patients and monitor the patients' environment and adherence to their care plan for either 1 or 3 months. The kit consists of an Android app-based questionnaire to collect information on asthma symptoms and medication intake, Fitbit to track sleep and activity, the Peak Flow meter to monitor lung functions, and Foobot to monitor indoor air quality. The data on the patient's outdoor environment were collected using third-party Web services based on the patient's zip code. To date, 107 patients consented to participate in the study and were recruited from the Dayton Children's Hospital, of which 83 patients completed the study as instructed.

RESULTS

Patient-generated health data from the 83 patients who completed the study were included in the cohort-level analysis. Of the 19% (16/83) of patients deployed in spring, the symptoms of 63% (10/16) and 19% (3/16) of patients suggested pollen and particulate matter (PM2.5), respectively, to be their major asthma triggers. Of the 17% (14/83) of patients deployed in fall, symptoms of 29% (4/17) and 21% (3/17) of patients suggested pollen and PM2.5, respectively, to be their major triggers. Among the 28% (23/83) of patients deployed in winter, PM2.5 was identified as the major trigger for 83% (19/23) of patients. Similar correlations were not observed between asthma symptoms and factors such as ozone level, temperature, and humidity. Furthermore, 1 patient from each season was chosen to explain, in detail, his or her personalized triggers by observing temporal associations between triggers and asthma symptoms gathered using the kHealth asthma kit.

CONCLUSIONS

The continuous monitoring of pediatric asthma patients using the kHealth asthma kit generates insights on the relationship between their asthma symptoms and triggers across different seasons. This can ultimately inform personalized asthma management and intervention plans.

Uptake of telehealth implementation for COPD patients in a high-poverty, inner-city environment: A survey

This study aimed to investigate computer and internet access and education attained in patients with chronic obstructive pulmonary disease (COPD) as potential barriers to implementation of telemedicine. We prospectively assessed 98 patients admitted with an acute exacerbation of COPD (mean age: 70.5 ± 9.3 years; force expired volume in the first second: 0.75 ± 0.39 L; 59% male) recording educational level attained and home computer and internet access. Hospital readmission surveillance occurred up to 2.7 (2.6-2.8) years following the index hospital admission. Only 16% of patients had a computer and only 14% had internet access; this group were younger and more educated than those without a computer. There was no difference in hospital readmissions over 2 years between those with and without access to a computer or internet. Only 12% of the whole cohort were educated to a school leaving age of 16 years and this group were more likely to be still working. School leaving age was directly associated with fewer hospital readmissions ( r = 0.251, p = 0.031). In conclusion, these data highlight the current challenges to the widespread implementation of telehealth in COPD patients as there is limited availability of computer and internet access with such patients demonstrating a lower level of education achievement.

Digital technology in respiratory diseases: Promises, (no) panacea and time for a new paradigm

In a world where digital technology has revolutionized the way we work, shop and manage our finances it is unsurprising that digital systems are suggested as potential solutions to delivering clinically and cost-effective care for an aging population with one or more long-term conditions. However, recent evidence suggesting that telehealth may not be quite the panacea that was promised, has led to discussions on the mechanisms and role of digital technology in respiratory care. Implementation in rural and remote settings offers significant benefits in terms of convenient access to care, but is contingent on technical and organizational infrastructure. Telemonitoring systems rely on algorithms to detect deterioration and trigger alerts; machine learning may enable telemonitoring of the future to develop personalized systems that are sensitive to clinical status whilst reducing false alerts. By providing access to information, offering convenient and flexible modes of communication and enabling the transfer of monitoring data to support professional assessment, telehealth can support self-management. At present, all too often, expensive 'off the shelf' systems are purchased and given to clinicians to use. It is time for the paradigm to shift. As clinicians we should identify the specific challenges we face in delivering care, and expect flexible systems that can be customized to individual patients' requirements and adapted to our diverse healthcare contexts.