Asthma and Allergy Mobile Apps in 2018

Advances in noncoding RNA in children allergic rhinitis

BACKGROUND

A chronic condition that significantly reduces a child's quality of life is allergic rhinitis (AR). The environment and allergens that the body is regularly exposed to can cause inflammatory and immunological reactions, which can change the expression of certain genes Epigenetic changes are closely linked to the onset and severity of allergy disorders according to mounting amounts of data. Noncoding RNAs (ncRNAs) are a group of RNA molecules that cannot be converted into polypeptides. The three main categories of ncRNAs include microRNAs (miRNAs), long noncoding RNAs (lncRNAs), and circular RNAs (circRNAs). NcRNAs play a crucial role in controlling gene expression and contribute to the development of numerous human diseases.

METHODS

Articles are selected based on Pubmed's literature review and the author's personal knowledge. The largest and highest quality studies were included. The search selection is not standardized.

RESULTS

Recent findings indicate that various categories of ncRNAs play distinct yet interconnected roles and actively contribute to intricate gene regulatory networks.

CONCLUSION

This article demonstrates the significance and progress of ncRNAs in children's AR. The database covers three key areas: miRNAs, lncRNAs, and circRNAs. Additionally, potential avenues for future research to facilitate the practical application of ncRNAs as therapeutic targets and biomarkers will be explore.

ASTHMAXcel PRO patient satisfaction and usability field testing

Background: ASTHMAXcel PRO, an enhanced version of the ASTHMAXcel mobile application, has been developed to deliver comprehensive, guideline-based asthma education while also facilitating the collection of patient-reported outcomes (PROs) and enhancing user experience.

Objective: To perform field testing and conduct formative and summative evaluation of the ASTHMAXcel PRO application to assess its impact on patient satisfaction, usability, and usage.

Methods: Twenty-eight adult patients completed a baseline visit during which ASTHMAXcel PRO was introduced, health literacy was assessed, and demographic data were collected. They were instructed to use the app for 4 weeks. The Questionnaire for User Interface Satisfaction (QUIS) and the Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire were administered at baseline and 4 weeks to assess user satisfaction and technology acceptance, respectively. Semi-structured interviews were conducted to gather feedback regarding the application from patients.

Results: The baseline total scores were high for both UTAUT and QUIS (mean (SD): 64.2 (10.1), 6.8 (2.2) respectively) indicating that user satisfaction and acceptance began at high levels. UTAUT total score, as well as all domain scores, improved significantly from baseline to 4 weeks (p < 0.02). QUIS total score along with several domain scores (screen, system capabilities, usability) also increased from baseline to 4-weeks (p = 0.03, 0.01, 0.03, 0.01, respectively). These improvements remained significant when adjusting for age, gender, education, and health literacy. Patients reported that the application was helpful, informative, and easy to understand and use.

Conclusion: The significant increases in satisfaction and technology adoption observed among ASTHMAXcel PRO users demonstrate that the application is viable and has the potential to improve upon usability challenges faced by existing mobile health applications.

iPREDICT: Characterization of Asthma Triggers and Selection of Digital Technology to Predict Changes in Disease Control

Purpose

The iPREDICT program aimed to develop an integrated digital health solution capable of continuous data streaming, predicting changes in asthma control, and enabling early intervention.

Patients and Methods

As part of the iPREDICT program, asthma triggers were characterized by surveying 221 patients (aged ≥18 years) with self-reported asthma for a risk-benefit analysis of parameters predictive of changes in disease control. Seventeen healthy volunteers (age 25-65 years) tested 13 devices to measure these parameters and assessed their usability attributes.

Results

Patients identified irritants such as chemicals, allergens, weather changes, and physical activity as triggers that were the most relevant to deteriorating asthma control. Device testing in healthy volunteers revealed variable data formats/units and quality issues, such as missing data and low signal-to-noise ratio. Based on user preference and data capture validity, a spirometer, vital sign monitor, and sleep monitor formed the iPREDICT integrated system for continuous data streaming to develop a personalized/predictive algorithm for asthma control.

Conclusion

These findings emphasize the need to systematically compare devices based on several parameters, including usability and data quality, to develop integrated digital technology programs for asthma care.

Clinical inertia in asthma

Despite advances in pharmaceutical treatment in recent years, a relatively high proportion of patients with asthma do not have adequate asthma control, causing chronic disability, poor quality of life, and multiple emergency department visits and hospitalizations. A multifaceted approach is needed to overcome the problems with managing asthma, and clinical inertia (CI) is a crucial concept to assist with this approach. It divides clinical inertia into three main categories, which include healthcare provider-related, patient-related, and healthcare system-related CI. The strategies to overcome these CI are complex, and the M-GAP approach, which combines a multidisciplinary approach, dissemination of guidelines, utilization of applications, and development and promotion of low-cost prescriptions, will help clinicians.

Digital Action Plan (Web App) for Managing Asthma Exacerbations: Randomized Controlled Trial

BACKGROUND

A written action plan (WAP) for managing asthma exacerbations is recommended.

OBJECTIVE

We aimed to compare the effect on unscheduled medical contacts (UMCs) of a digital action plan (DAP) accessed via a smartphone web app combined with a WAP on paper versus that of the same WAP alone.

METHODS

This randomized, unblinded, multicenter (offline recruitment in private offices and public hospitals), and parallel-group trial included children (aged 6-12 years) or adults (aged 18-60 years) with asthma who had experienced at least 1 severe exacerbation in the previous year. They were randomized to a WAP or DAP+WAP group in a 1:1 ratio. The DAP (fully automated) provided treatment advice according to the severity and previous pharmacotherapy of the exacerbation. The DAP was an algorithm that recorded 3 to 9 clinical descriptors. In the app, the participant first assessed the severity of their current symptoms on a 10-point scale and then entered the symptom descriptors. Before the trial, the wordings and ordering of these descriptors were validated by 50 parents of children with asthma and 50 adults with asthma; the app was not modified during the trial. Participants were interviewed at 3, 6, 9, and 12 months to record exacerbations, UMCs, and WAP and DAP use, including the subjective evaluation (availability and usefulness) of the action plans, by a research nurse.

RESULTS

Overall, 280 participants were randomized, of whom 33 (11.8%) were excluded because of the absence of follow-up data after randomization, leaving 247 (88.2%) participants (children: n=93, 37.7%; adults: n=154, 62.3%). The WAP group had 49.8% (123/247) of participants (children: n=45, 36.6%; mean age 8.3, SD 2.0 years; adults: n=78, 63.4%; mean age 36.3, SD 12.7 years), and the DAP+WAP group had 50.2% (124/247) of participants (children: n=48, 38.7%; mean age 9.0, SD 1.9 years; adults: n=76, 61.3%; mean age 34.5, SD 11.3 years). Overall, the annual severe exacerbation rate was 0.53 and not different between the 2 groups of participants. The mean number of UMCs per year was 0.31 (SD 0.62) in the WAP group and 0.37 (SD 0.82) in the DAP+WAP group (mean difference 0.06, 95% CI -0.12 to 0.24; P=.82). Use per patient with at least 1 moderate or severe exacerbation was higher for the WAP (33/65, 51% vs 15/63, 24% for the DAP; P=.002). Thus, participants were more likely to use the WAP than the DAP despite the nonsignificant difference between the action plans in the subjective evaluation. Median symptom severity of the self-evaluated exacerbation was 4 out of 10 and not significantly different from the symptom severity assessed by the app.

CONCLUSIONS

The DAP was used less often than the WAP and did not decrease the number of UMCs compared with the WAP alone.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02869958; https://clinicaltrials.gov/ct2/show/NCT02869958.

Factors Affecting Patient Adherence to Inhalation Therapy: An Application of SEIPS Model 2.0

Purpose

This study aims to explore factors that affect patient adherence to inhalation therapy by applying a patient-centered approach.

Patients and Methods

We conducted a qualitative study to identify the factors that influence adherent behaviors among asthma/COPD patients. 35 semi-structured interviews with patients, and 15 semi-structured interviews with healthcare providers (HCPs) who manage asthma/COPD patients were conducted. The SEIPS 2.0 model was applied as a conceptual framework for guiding the interview content and analysis of the interview data.

Results

Based on the findings of this study, a conceptual framework of patient adherence in asthma/COPD during inhalation therapy was constructed including five themes: person, task, tool, physical environment, and culture and society. Person-related factors include patient ability and emotional experience. Task-related factors refer to task type and frequency and flexibility. Tool-related factors are the type of inhalers and usability of inhalers. Physical environment-related factors include home environment and COVID-19 situation. Culture and social related factors consist of two aspects: cultural beliefs and social stigma.

Conclusion

The findings of the study identified 10 influential factors that impact on patient adherence to inhalation therapy. A SEIPS-based conceptual model was constructed based on the responses of patients and HCPs to explore the experiences of patients engaging in inhalation therapy and interacting with inhalation devices. In particular, new insight about factors of emotional experience, physical environment and traditional cultural beliefs were found crucial for patients with Asthma/COPD to conduct patients' adherent behaviors.

Digital Intervention For The Management Of Alzheimer's Disease

Alzheimer's disease (AD) is a progressive, multifactorial, chronic, neurodegenerative disease with high prevalence and limited therapeutic options, making it a global health crisis. Being the most common cause of dementia, AD erodes the cognitive, functional, and social abilities of the individual and causes escalating medical and psychosocial needs. As yet, this disorder has no cure and current treatment options are palliative in nature. There is an urgent need for novel therapy to address this pressing challenge. Digital therapeutics (Dtx) is one such novel therapy that is gaining popularity globally. Dtx provides evidence based therapeutic interventions driven by internet and software, employing tools such as mobile devices, computers, videogames, apps, sensors, virtual reality aiding in the prevention, management, and treatment of ailments like neurological abnormalities and chronic diseases. Dtx acts as a supportive tool for the optimization of patient care, individualized treatment and improved health outcomes. Dtx uses visual, sound and other non-invasive approaches for instance-consistent therapy, reminiscence therapy, computerised cognitive training, semantic and phonological assistance devices, wearables and computer-assisted rehabilitation environment to find applications in Alzheimer's disease for improving memory, cognition, functional abilities and managing motor symptom. A few of the Dtx-based tools employed in AD include "Memory Matters", "AlzSense", "Alzheimer Assistant", "smart robotic dog", "Immersive virtual reality (iVR)" and the most current gamma stimulation. The purpose of this review is to summarize the current trends in digital health in AD and explore the benefits, challenges, and impediments of using Dtx as an adjunctive therapy for the management of AD.

Digital Health Marketing and Its Applications: A Neglected Priority in Iran’s Healthcare System

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A digital approach to asthma self-management in adults: Protocol for a pragmatic randomized controlled trial

Asthma self-management can improve symptom control, but adherence to established self-management behaviors is often poor. With adult asthma uncontrolled in over 60% of U.S. cases, there is a need for scalable, cost-effective tools to improve asthma outcomes. Here we describe a protocol for the Asthma Digital Study, a 24-month, decentralized, pragmatic, open-label, randomized controlled trial investigating the impact of a digital asthma self-management (DASM) program on asthma outcomes in adults. The program leverages consumer-grade devices with a smartphone app to provide "smart nudges," symptom logging, trigger tracking, and other features. Participants are recruited (target N = 900) from throughout the U.S., and randomized to a DASM or control arm (1:1). Co-primary outcomes at one year are a) asthma-associated costs for acute care and b) change from baseline in Asthma Control Test™ scores. Findings may inform decisions around adoption of digital tools for asthma self-management. Trial registration:clinicaltrials.gov identifier: NCT04609644. Registered: Oct 30, 2020.

Real-world data using mHealth apps in rhinitis, rhinosinusitis and their multimorbidities

Digital health is an umbrella term which encompasses eHealth and benefits from areas such as advanced computer sciences. eHealth includes mHealth apps, which offer the potential to redesign aspects of healthcare delivery. The capacity of apps to collect large amounts of longitudinal, real-time, real-world data enables the progression of biomedical knowledge. Apps for rhinitis and rhinosinusitis were searched for in the Google Play and Apple App stores, via an automatic market research tool recently developed using JavaScript. Over 1500 apps for allergic rhinitis and rhinosinusitis were identified, some dealing with multimorbidity. However, only six apps for rhinitis (AirRater, AllergyMonitor, AllerSearch, Husteblume, MASK-air and Pollen App) and one for rhinosinusitis (Galenus Health) have so far published results in the scientific literature. These apps were reviewed for their validation, discovery of novel allergy phenotypes, optimisation of identifying the pollen season, novel approaches in diagnosis and management (pharmacotherapy and allergen immunotherapy) as well as adherence to treatment. Published evidence demonstrates the potential of mobile health apps to advance in the characterisation, diagnosis and management of rhinitis and rhinosinusitis patients.

Applicability of the MASK-Air® App to Severe Asthma Treated with Biologic Molecules: A Pilot Study

MASK-air^®, a good practice of the DG Santé, has been fully validated in allergic rhinitis, but little is known about its applicability to asthmatics. We explored whether the MASK-air^® application is applicable to patients with severe asthma. Severe asthmatics were proposed to use the MASK-air^® application for 6 months, along with best practice treatment. Treatment of the patients was not changed based on the application results. The evolution of the visual analogue scales (VAS) for asthma, shortness of breath, rhinitis, conjunctivitis, work, and sleep was monitored using MASK-air^®. Adherence to MASK-air^® and to the asthma treatment was also checked. Thirteen patients reported on 1229 days of MASK-air^® use. The average application adherence was 51.8% (range: 19.7–98.9%). There was no correlation between application and medication adherence. Highly variably trends were found for the VAS for asthma. Five patients had over 90% well-controlled days, four had well- or moderately controlled asthma (with up to 20% uncontrolled days), one patient had moderately controlled asthma with approximately 20% uncontrolled days, and one patient had 80% uncontrolled days. Highly significant correlations were found for the VAS for asthma, and other patients reported VASs for work, dyspnea, sleep, and rhinitis. MASK-air^® can be used in patients with severe asthma. VAS asthma appears to be an interesting patient-reported outcome highly correlated with dyspnea and impacts on work. Adherence to the application was better than that for rhinitis, but it needs to be improved.

Development and Feasibility of a Mobile Asthma App for Children and Their Caregivers: Mixed Methods Study

Background

Mobile health apps can support the self-management of pediatric asthma. Previous studies on mobile apps for children aged >7 years with asthma are limited, and most reports on asthma apps do not consider interactions between the children and their caregivers. Therefore, we developed an asthma app for children aged 0-12 years and their caregivers based on the results of our previous study regarding user needs.

Objective

The aim of this study was to evaluate the feasibility of a developed mobile app for children with asthma and their caregivers and to modify and complete the app according to the feasibility results.

Methods

We recruited children diagnosed with persistent asthma by an allergy specialist at 2 children’s hospitals, 1 university hospital, 2 general hospitals, and 1 pediatric clinic. Thereafter, the app usage was assessed, and questionnaires were administered. This study used convergent mixed methods, including providing user feedback about the pediatric asthma app, completing questionnaire surveys regarding preferences, and obtaining quantitative data about app usage. Quantitative data were analyzed based on the ratings provided for the app features used by the participants, and the usage of the app features was analyzed using descriptive statistics. Qualitative data were analyzed via a descriptive qualitative research analysis and were used to identify codes from the content-characteristic words.

Results

In total, 30 pairs of children aged 2-12 years and their caregivers responded to the 3-month survey, and 20 pairs of children aged 4-12 years and their caregivers responded to the 6-month survey. In the 3- and 6-month surveys, “record” was the most commonly used feature by both caregivers and children. The average access logs per month among the 20 pairs ranged from 50 to 79 in the 6-month survey. The number of access logs decreased over time. In the qualitative results, app utilization difficulties were identified for 6 categories: record, preparing, alert settings, change settings, mobile phone owner, and display and motivation. Regarding app feasibility, 60% (12/20) of the caregivers strongly agreed or agreed for all evaluation items, while 63% (7/11) of the children strongly agreed or agreed for 6 items, excluding satisfaction. In the qualitative results, feasibility evaluation of the app was classified into 3 categories: high feasibility of the app, improvement points for the app, and personal factors preventing app utilization. Based on the results of the feasibility analysis, the final version of the app was modified and completed.

Conclusions

The app feasibility among children with asthma and their caregivers was generally good. Children aged 7-12 years used elements such as record, quiz, and manga. This app can support the continuous self-management of pediatric asthma. However, efforts must be taken to maintain and improve the app quality.

Trial Registration

UMIN Clinical Trials Registry UMIN000039058; https://tinyurl.com/3na9zyf8

[Experiences with digital care of patients with chronic and acute lung diseases during the SARS-CoV-2 pandemic]

BACKGROUND

Management of patients with respiratory disorders, such as asthma or chronic obstructive pulmonary disease (COPD), became challenging during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic due to infection prevention measures. To maintain care, a remote monitoring program was initiated, comprising a smartphone app and a Bluetooth spirometry device.

OBJECTIVE

To assess patient- and physician-related experience with remote monitoring.

MATERIAL AND METHODS

Structured questionnaires were developed to rate experiences from the patient or physician perspective on six-level Likert scales. Interactions between patients and physicians via the digital platform and overall utilization was analyzed.

RESULTS

A total of 745 patients with asthma, COPD, post-coronavirus disease 2019 (COVID-19) and other respiratory diseases were enrolled from 31 centers in Germany. Mean follow-up was 49.4 ± 12.6 weeks. Each participant submitted on average 289 measurements. Patient-reported experience with the remote monitoring program was positive, with the highest satisfaction reported for "Experience with home measurement" (1.4 ± 0.5; 99% positive), followed by "Communication/interaction" (1.8 ± 0.9; 83% positive) and "Overall satisfaction with program" (1.8 ± 0.8; 87% positive). In all, 70% reported subjective quality of life improvements related to participation in the program. Physician satisfaction with the program was also high with a mean rating of 2.2 ± 1.2.

DISCUSSION

App-based remote monitoring was successfully implemented in routine care during the SARS-CoV‑2 pandemic and demonstrated potential for improvements in care. Patient-relevant experience was positive in all dimensions and remote monitoring was well accepted. Physicians who participated in the program also expressed positive experiences, as demonstrated by a high level of interaction with the platform and positive evaluations of effects from the program.

Exposome mapping in chronic respiratory diseases: the added value of digital technology

PURPOSE OF REVIEW

The development and progression of chronic respiratory diseases are impacted by a complex interplay between genetic, microbial, and environmental factors. Here we specifically summarize the effects of environmental exposure on asthma, allergic rhinitis, and chronic rhinosinusitis. We furthermore discuss how digital health technology may aid in the assessment of the environmental exposure of patients and how it may be of added value for them.

RECENT FINDINGS

It is well established that one gets allergic symptoms if sensitized and exposed to the same allergen. Viruses, bacteria, pollutants, irritants, and lifestyle-related factors modify the risk of getting sensitized and develop symptoms or may induce symptoms themselves. Understanding these processes and how the various factors interact with each other and the human body require big data and advanced statistics. Mobile health technology enables integration of multiple sources of data of the patients' exposome and link these to patient outcomes. Such technologies may contribute to the increased understanding of the development of chronic respiratory disease.

SUMMARY

Implementation of digital technologies in clinical practice may in future guide the development of preventive strategies to tackle chronic respiratory diseases and eventually improve outcomes of the patient.

Feasibility of video observed therapy to support controller inhaler use among children in West Baltimore

OBJECTIVE

To assess feasibility of a novel video directly observed therapy (DOT)-based digital asthma program intended to support correct inhaled corticosteroid (ICS) use among children.

METHODS

We conducted a 60-day pilot study among patients 2-18 years attending a primary care clinic with prescribed ICS and sub-optimally controlled asthma (recent hospitalization, ICS nonadherence, frequent rescue inhaler use, therapy escalation, or Asthma Control Test <20). Participants used a mobile application to receive reminders, submit videos of ICS doses (video DOT), and receive asynchronous feedback on adherence and inhaler technique. We assessed enrollment, engagement, program metrics, and user experience; adherence and inhaler errors were secondary outcomes.

RESULTS

Of 26 eligible patients, 21 (81%) enrolled and submitted ≥1 video; median age was 11 years (8-15), 71% were male, 90% had Medicaid, and 62% experienced ≥1 exacerbation in the previous 6 months. Retention was 57% and 52% at week 5 and 8, respectively. Participants submitted 810 videos. Missed doses, inhaler errors (n = 247) and adherence issues (n = 107) prompted 543 communications; inadequate inspiration or holding breath were most common. Among 16 patients with engagement >7 days and >4 videos, median inhaler error rate (proportion of videos with ≥1 error) decreased from week 1 to week 2 (73% vs 8%, p ≤ 0.05) with median adherence >80%. Participants experienced the program as long, but easy to use; benefits included building routines, skill, and independence.

CONCLUSIONS

This pilot study suggests high program acceptability among our cohort. High engagement with improved inhaler technique over the first 14 days suggests shorter implementation.

Isn't There an App for That? The Role of Smartphone and Tablet Applications for Asthma Education and Self-Management in Adolescents

Asthma is one of the most common chronic diseases worldwide, with a substantial proportion of the asthma population being children and adolescents. Self-management is recognized as a key component to asthma management, with multiple international guidelines emphasizing the need for adequate self-management skills for good asthma control. Unfortunately, the uptake amongst young people and adolescents is low, with often suboptimal engagement to self-management education and skills contributing to poor adherence to medication as well as poor perception of asthma symptoms. Innovative solutions to deliver education and self-management to adolescents are clearly needed. mHealth is the use of mobile devices such as smartphones and tablet devices to improve healthcare and has been used in multiple chronic diseases. This review articles explores the current use of mHealth in asthma, specifically smartphone and tablet applications as a generation-appropriate, accessible delivery modality for provision of asthma education and self-management interventions in adolescents. Current evidence gaps are also highlighted, which should be addressed in future research.

lncRNA FTX promotes asthma progression by sponging miR-590-5p and upregulating JAK2

The increased proliferation and migration of airway smooth muscle cells (ASMCs) are essential factors in the development of asthma. Long noncoding RNAs (lncRNAs) play key roles in the pathogenesis of various diseases, including asthma. A growing body of evidence indicates that lncRNA FTX regulates proliferation and migration in multiple cell types and the progression of various diseases. However, the role of FTX in asthma is still not yet fully understood. Therefore, we explored the role of FTX in the proliferation and migration of ASMCs stimulated by platelet-derived growth factor BB (PDGF-BB) in vitro, as well as the underlying molecular mechanisms. Here, it is demonstrated that the expression of FTX in ASMCs treated with PDGF-BB is significantly up-regulated, and FTX knockout effectively represses the proliferation and migration and promotes the apoptosis of ASMCs induced by PDGF-BB. Mechanistically, FTX can inhibit the proliferation and migration of ASMCs caused by PDGF-BB by targeting miR-590-5p, and FTX over-expression reverses the inhibitory effect. Furthermore, JAK2 is a direct target of the FTX/miR-590-5p signal axis, the over-expression of which reverses the inhibitory effect on the proliferation and migration and the apoptosis-inducing effect of miR-590-5p in ASMCs. Collectively, these results highlight the crucial regulatory role of the FTX/miR-590-5p/JAK2 axis in ASMC proliferation, migration, and apoptosis.

Nurse Perspectives Regarding Implementation of an Asthma Monitoring Mobile Health Application in the School Setting

Background: School-based telehealth (SBTH) plays a valuable role in child asthma management, although nurses have concerns with caregiver engagement. Mobile technology (m-health) has potential to improve this engagement. Objective: We identified barriers and key desired features of an asthma m-health application as a supplement to an existing SBTH asthma program in rural settings. Methods: Multimethod design using school nurse surveys and interviews with school and SBTH personnel to describe processes related to implementation of an m-health application. Results: Nurses reported SBTH programs were an ideal setting to identify potential families for m-health. Benefits of caregiver education and engagement and barriers related to technology, smart phone data availability, and family buy-in were described. Desired application features included education on inhaler technique, asthma symptom, and medication adherence reports. Conclusions: The feedback identified from nurses can be incorporated into an asthma m-health program within an SBTH program to facilitate implementation.

Effective German and English Language mHealth Apps for Self-management of Bronchial Asthma in Children and Adolescents: Comparison Study

Background

Mobile health (mHealth) apps hold great potential for asthma self-management. Data on the suitability of asthma apps intended for children are insufficient, and the availability of German language apps is still inadequate compared with English language apps.

Objective

This study aims to identify functional asthma apps for children in German and to compare them with English language apps. In line with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, the Google Play Store and Apple App Store are systematically searched to preselect the most efficient apps, which are then compared according to a self-compiled criteria catalog.

Methods

Both app stores were screened for the term asthma. Following a PRISMA preselection process, the apps that met the inclusion criteria (ie, available free of charge, German or English language, and suitable for children) were rated by 3 independent persons following a criteria catalog consisting of 9 categories, some conceived for this purpose (availability, child-friendly, learning factor, and range of functions) and some adopted from existing validated catalogs (functionality and design, ease of use, potential for improving asthma self-management, fun factor and incentives, and information management and medical accuracy). The highest rated apps in German and English were compared.

Results

A total of 403 apps were identified on the Google Play Store and the Apple App Store. Finally, 24 apps that met the inclusion criteria were analyzed. In the first step of the quality assessment, only 4 available German language asthma apps were compared with 20 English language asthma apps. The 4 German language apps were then compared with the 4 highest rated English language apps. All selected apps, independent of the language, were comparable in the following categories: availability, functionality and design, ease of use, and information management and medical accuracy. The English language apps scored significantly higher in the following categories: potential for improving self-management, child-friendly, fun factor, learning factor, and range of function. English language apps (mean total points 34.164, SD 1.09) performed significantly better than German language asthma apps (mean total points 22.91, SD 2.898; P=.003). The best rated English language app was Kiss my asthma (36/42 points), whereas the best rated German language app Kata achieved only 27.33 points.

Conclusions

The recommended English language apps are Kiss my asthma, AsthmaXcel, AsthmaAustralia, and Ask Me, AsthMe!, whereas the only recommended German language app is Kata. The use of apps plays an increasingly important role in patients’ lives and in the medical field, making mHealth a staple in the future of asthma treatment plans. Although validated recommendations on rating mHealth apps have been published, it remains a challenging task for physicians and patients to choose a suitable app for each case, especially in non–English-speaking countries.

Informatics Approaches for Recognition, Management, and Prevention of Occupational Respiratory Disease

Computer and information systems can improve occupational respiratory disease prevention and surveillance by providing efficient resources for patients, workers, clinicians, and public health practitioners. Advances include interlinking electronic health records, autocoding surveillance data, clinical decision support systems, and social media applications for acquiring and disseminating information. Obstacles to advances include inflexible hierarchical coding schemes, inadequate occupational health electronic health record systems, and inadequate public focus on occupational respiratory disease. Potentially transformative approaches include machine learning, natural language processing, and improved ontologies.

Patient-Generated Health Data in Pediatric Asthma: Exploratory Study of Providers' Information Needs

BACKGROUND

Adolescents are using mobile health apps as a form of self-management to collect data on symptoms, medication adherence, and activity. Adding functionality to an electronic health record (EHR) to accommodate disease-specific patient-generated health data (PGHD) may support clinical care. However, little is known on how to incorporate PGHD in a way that informs care for patients. Pediatric asthma, a prevalent health issue in the United States with 6 million children diagnosed, serves as an exemplar condition to examine information needs related to PGHD.

OBJECTIVE

In this study we aimed to identify and prioritize asthma care tasks and decisions based on pediatric asthma guidelines and identify types of PGHD that might support the activities associated with the decisions. The purpose of this work is to provide guidance to mobile health app developers and EHR integration.

METHODS

We searched the literature for exemplar asthma mobile apps and examined the types of PGHD collected. We identified the information needs associated with each decision in accordance with consensus-based guidelines, assessed the suitability of PGHD to meet those needs, and validated our findings with expert asthma providers.

RESULTS

We mapped guideline-derived information needs to potential PGHD types and found PGHD that may be useful in meeting information needs. Information needs included types of symptoms, symptom triggers, medication adherence, and inhaler technique. Examples of suitable types of PGHD were Asthma Control Test calculations, exposures, and inhaler use. Providers suggested uncontrolled asthma as a place to focus PGHD efforts, indicating that they preferred to review PGHD at the time of the visit.

CONCLUSIONS

We identified a manageable list of information requirements derived from clinical guidelines that can be used to guide the design and integration of PGHD into EHRs to support pediatric asthma management and advance mobile health app development. Mobile health app developers should examine PGHD information needs to inform EHR integration efforts.

Telemedicine and adherence monitoring in children with asthma

PURPOSE OF REVIEW

Telemedicine, defined as synchronous video visits between a provider and a child with asthma, often takes place in the school setting. This review examines the new electronic sensors for adherence monitoring and studies that used telemedicine in the school setting to improve asthma outcomes.

RECENT FINDINGS

School-based telemedicine provides an important service to families of school-aged children who have difficulty due to time and distance in planning and keeping in-person appointments with primary or specialty providers. Significant improvements in objective measures of asthma control are inconsistently observed although caregiver and parent quality of life and child self-management behaviors are improved and satisfaction is high. Assessment and outcomes related to adherence are mentioned in studies but results are not often reported. However, it appears that adherence interventions are beneficial while maintained but the effects are not sustained upon intervention discontinuation.

SUMMARY

The school setting provides a convenient and suitable environment to conduct telemedicine visits between school-aged children and their primary care or specialty provider. Electronic adherence sensors allow review of controller and rescue medication use through a cloud-based dashboard and provides an opportunity for real-time assessment and intervention by providers to improve asthma outcomes.

Evaluating Asthma Mobile Apps to Improve Asthma Self-Management: User Ratings and Sentiment Analysis of Publicly Available Apps

BACKGROUND

The development and use of mobile health (mHealth) apps for asthma management have risen dramatically over the past two decades. Asthma apps vary widely in their content and features; however, prior research has rarely examined preferences of users of publicly available apps.

OBJECTIVE

The goals of this study were to provide a descriptive overview of asthma mobile apps that are publicly available and to assess the usability of asthma apps currently available on the market to identify content and features of apps associated with positive and negative user ratings.

METHODS

Reviews were collected on June 23, 2020, and included publicly posted reviews until June 21, 2020. To characterize features associated with high or low app ratings, we first dichotomized the average user rating of the asthma app into 2 categories: a high average rating and a low average rating. Asthma apps with average ratings of 4 and above were categorized as having a high average rating. Asthma apps with average ratings of less than 4 were categorized as having a low average rating. For the sentiment analysis, we modeled both 2-word (bi-gram) and 3-word (tri-gram) phrases which commonly appeared across highly rated and lowly rated apps.

RESULTS

Of the 10 apps that met the inclusion criteria, a total of 373 reviews were examined across all apps. Among apps reviewed, 53.4% (199/373) received high ratings (average ratings of 4 or 5) and 47.2% (176/373) received low ratings (average ratings of 3 or less). The number of ratings across all apps ranged from 188 (AsthmaMD) to 10 (My Asthma App); 30% (3/10) of apps were available on both Android and iOS. From the sentiment analysis, key features of asthma management that were common among highly rated apps included the tracking of peak flow readings (n=48), asthma symptom monitoring (n=11), and action plans (n=10). Key features related to functionality that were common among highly rated apps included ease of use (n=5). Users most commonly reported loss of data (n=14) and crashing of app (n=12) as functionality issues among poorly rated asthma apps.

CONCLUSIONS

Our study results demonstrate that asthma app quality, maintenance, and updates vary widely across apps and platforms. These findings may call into question the long-term engagement with asthma apps, a crucial factor for determining their potential to improve asthma self-management and asthma clinical outcomes.

Mobile Health and Inhaler-Based Monitoring Devices for Asthma Management

Mobile health and web applications (apps), wearables, and other personal monitoring devices have tremendous potential to improve the management of asthma. More than 500 asthma-related apps, whether standalone or paired with sensors on inhalers, are currently available for health education, symptom recording, tracking of inhaler use, displaying environmental alerts, and providing medication reminders. Benefits of these tools include the ability to longitudinally collect symptom, trigger, and inhaler usage data, allowing the detection of significant changes over time to help patients and their caregivers determine whether symptoms are worsening. In addition, data from external information sources, including weather, allergen, and air quality reports, can be integrated with user-specific data to enhance predictions on when patients may experience symptoms and/or need to avoid triggers. Barriers to adoption of asthma-related apps and inhaler-based devices include uncertain efficacy and effectiveness, potential high cost, sustained user engagement, and concerns about privacy. Moreover, ensuring the acceptability and utility of asthma management apps for individuals of all races/ethnicities, socioeconomic groups, ages, genders, and literacy levels is necessary. Based on studies thus far, mobile health apps and inhaler-based devices have great potential to serve as useful tools in the patient-doctor relationship and revolutionize asthma care.

Medical devices in allergy practice

Medical devices provide people with some health benefits in terms of diagnosis, prevention, treatment, and monitoring of disease processes. Different medical specialties use varieties of medical devices more or less specific for them. Allergology is an interdisciplinary field of medical science and teaches that allergic reactions are of systemic nature but can express themselves at the level of different organs across the life cycle of an individual. Subsequently, medical devices used in allergology could be regarded as: 1) general, servicing the integral diagnostic and management principles and features of allergology, and 2) organ specific, which are shared by organ specific disciplines like pulmonology, otorhinolaryngology, dermatology, and others. The present position paper of the World Allergy Organization (WAO) is meant to be the first integral document providing structured information on medical devices in allergology used in daily routine but also needed for sophisticated diagnostic purposes and modern disease management. It is supposed to contribute to the transformation of the health care system into integrated care pathways for interrelated comorbidities.

Telemedicine and emerging technologies for health care in allergy/immunology

Telemedicine (TM) has become a popular method of accessing medical services between providers and patients and is viewed as a cost-effective alternative to more traditional episodic face-to-face encounters. TM overcomes 2 barriers that patients face when seeking health care: distance and time. It is as effective as in-person visits for outpatient treatment of asthma, and it is a convenient way to provide inpatient consultations for patients when the allergist practices outside of the hospital. TM also has been used to manage patients with asthma in schools. Patients tend to be as satisfied with TM or they prefer TM over in-person visits, but infrequently they do prefer in-person visits. In addition to virtual visits using TM, there are several emerging technologies that are relevant to the practice of allergy/immunology including electronic diaries (eg, symptoms and medication use), wearable technology (eg, to monitor activity and vital signs), remote patient monitoring (eg, environmental exposures and medication adherence) as well as electronic medical records augmented with clinical decision support. We believe that the use of TM, particularly when combined with information technologies such as electronic health records, has the potential to cause a transformational change in the way care is delivered by altering the process of interaction between patient and provider. TM addresses the shortage of allergy specialists in rural and underserved urban communities and facilitates patient access to allergy services. As patients take more control of their health care, use of TM is likely to increase because a large part of the move to adopt TM is driven by patient preference.

The Potential of Clinical Decision Support Systems for Prevention, Diagnosis, and Monitoring of Allergic Diseases

Clinical decision support systems (CDSS) aid health care professionals (HCP) in evaluating large sets of information and taking informed decisions during their clinical routine. CDSS are becoming particularly important in the perspective of precision medicine, when HCP need to consider growing amounts of data to create precise patient profiles for personalized diagnosis, treatment and outcome monitoring. In allergy care, several CDSS are being developed and investigated, mainly for respiratory allergic diseases. Although the proposed solutions address different stakeholders, the majority aims at facilitating evidence-based and shared decision-making, incorporating guidelines, and real-time clinical data. We offer here an overview on existing tools, new developments and novel concepts and discuss the potential of digital CDSS in improving prevention, diagnosis and monitoring of allergic diseases.

Beneficial Features of a mHealth Asthma App for Children and Caregivers: Qualitative Study

Background

mHealth and uHealth apps are available for children with asthma and their caregivers. However, previous studies on mHealth apps for children older than 7 years old with asthma are limited, and most studies on asthma apps do not consider interactions involving communication between children and caregivers. Therefore, a prototype mHealth child asthma app was developed for children and their caregivers, with features of tailored feedback messages in continuing self-management and interactions between children and caregivers.

Objective

The aim of this study was to identify the beneficial features of a prototype mHealth app developed for children with asthma and their caregivers.

Methods

Children diagnosed with persistent asthma by allergy specialists at the National Center for Child Health and Development were recruited. The features of a prototype mHealth app for children with asthma and their caregivers were investigated using semistructured interviews after they tried the app. Data were analyzed using thematic analysis. Content-characteristic words were named and grouped together as categories to explore themes.

Results

We recruited 27 children with asthma aged 2 to 12 years and 26 their caregivers. Findings on the good aspects of the app for children older than 7 years old and caregivers suggested 4 themes (confirmation of asthma knowledge, child-caregiver interaction, design of the app, and child’s interest), and 6 categories were identified. Findings on the good aspects of app for children 7 to 12 years old and caregivers suggested 5 themes (new knowledge, manga as a Japanese-style comic, child’s interest, trigger of self-management, and design and operability), and 11 categories were identified. Findings on the beneficial features of app suggested 6 themes (asthma knowledge, elements for continuous, universal design, notification, monitoring, and functions), and 12 categories were identified.

Conclusions

Children with asthma and their caregivers perceived that the good aspects of the app were learning asthma knowledge with fun, including manga; interaction between child and caregiver; and easy-to-read design, such as colors. They wanted not only the asthma knowledge but also the universal design and enhanced elements, monitoring, and notification functions of the app.

Detecting asthma exacerbations using daily home monitoring and machine learning

OBJECTIVE

Acute exacerbations contribute significantly to the morbidity of asthma. Recent studies have shown that early detection and treatment of asthma exacerbations leads to improved outcomes. We aimed to develop a machine learning algorithm to detect severe asthma exacerbations using easily available daily monitoring data.

METHODS

We analyzed daily peak expiratory flow and symptom scores recorded by participants in the SAKURA study (NCT00839800), an international multicentre randomized controlled trial comparing budesonide/formoterol as maintenance and reliever therapy versus budesonide/formoterol maintenance plus terbutaline as reliever, in adults with persistent asthma. The dataset consisted of 728,535 records of daily monitoring data in 2010 patients, with 576 severe exacerbation events. Data post-processing techniques included normalization, standardization, calculation of differences or slopes over time and the use of smoothing filters. Principal components analysis was used to reduce the large number of derived variables to a smaller number of linearly independent components. Logistic regression, decision tree, naïve Bayes, and perceptron algorithms were evaluated. Model accuracy was assessed using stratified cross-validation. The primary outcome was the detection of exacerbations on the same day or up to three days in the future.

RESULTS

The best model used logistic regression with input variables derived from post-processed data using principal components analysis. This had an area under the receiver operating characteristic curve of 0.85, with a sensitivity of 90% and specificity of 83% for severe asthma exacerbations.

CONCLUSION

Asthma exacerbations may be detected using machine learning algorithms applied to daily self-monitoring of peak expiratory flow and asthma symptoms.

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.

Bringing asthma care into the twenty-first century

Despite access to diagnostic tests and effective therapies, asthma often remains misdiagnosed and/or poorly controlled or uncontrolled. In this review, we address the key issues of asthma diagnosis and management, recent evidence for levels of asthma control, the consequences of poor control and, in line with that, explore the potential reasons for poor asthma control and acute exacerbations. Based on recent evidence and current guidelines, we also aim to provide practical answers to the key questions of how to improve asthma management, with the best possible prevention of exacerbations, addressing the basics-adherence, inhaler misuse, obesity and smoking-and how to facilitate a new era of asthma care in the twenty-first century. We hope this review will be useful to busy primary care clinicians in their future interactions with their patients with both suspected and proven asthma.

Asthma Across Childhood: Improving Adherence to Asthma Management from Early Childhood to Adolescence

Asthma affects nearly 6 million US children. Throughout childhood, children undergo a series of biological, developmental, and psychosocial changes. Thus, factors influencing a child's asthma management differ across 3 essential stages-early childhood (0-5 years), school-aged years (5-12 years), and adolescence (12-18 years)-and require varied intervention by parents, school personnel, clinicians, and the children themselves. Because asthma care in children is characterized by fluctuations in severity and coordination among many stakeholders, optimal asthma control is difficult to achieve in this young population. Challenges in childhood asthma management are reflected in the low rates of children's adherence to medication regimes. Although pharmacological and biological factors addressing age in physicians' treatment choices are well outlined, age-specific approaches to patient-provider communication and asthma-related interventions are also important in improving quality of life for patients with pediatric asthma.

The role of mobile health technologies in allergy care: An EAACI position paper

Mobile health (mHealth) uses mobile communication devices such as smartphones and tablet computers to support and improve health-related services, data and information flow, patient self-management, surveillance, and disease management from the moment of first diagnosis to an optimized treatment. The European Academy of Allergy and Clinical Immunology created a task force to assess the state of the art and future potential of mHealth in allergology. The task force endorsed the "Be He@lthy, Be Mobile" WHO initiative and debated the quality, usability, efficiency, advantages, limitations, and risks of mobile solutions for allergic diseases. The results are summarized in this position paper, analyzing also the regulatory background with regard to the "General Data Protection Regulation" and Medical Directives of the European Community. The task force assessed the design, user engagement, content, potential of inducing behavioral change, credibility/accountability, and privacy policies of mHealth products. The perspectives of healthcare professionals and allergic patients are discussed, underlining the need of thorough investigation for an effective design of mHealth technologies as auxiliary tools to improve quality of care. Within the context of precision medicine, these could facilitate the change in perspective from clinician- to patient-centered care. The current and future potential of mHealth is then examined for specific areas of allergology, including allergic rhinitis, aerobiology, allergen immunotherapy, asthma, dermatological diseases, food allergies, anaphylaxis, insect venom, and drug allergy. The impact of mobile technologies and associated big data sets are outlined. Facts and recommendations for future mHealth initiatives within EAACI are listed.

Treatment Adherence in Adolescents with Asthma

The burden of asthma is particularly notable in adolescents, and is associated with higher rates of prevalence and mortality compared with younger children. One factor contributing to inadequate asthma control in adolescents is poor treatment adherence, with many pediatric studies reporting mean adherence rates of 50% or lower. Identifying the reasons for poor disease control and adherence is essential in order to help improve patient quality of life. In this review, we explore the driving factors behind non-adherence in adolescents with asthma, consider their consequences and suggest possible solutions to ensure better disease control. We examine the impact of appropriate inhaler choice and good inhaler technique on adherence, as well as discuss the importance of selecting the right medication, including the possible role of as-needed inhaled corticosteroids/long-acting β₂-agonists vs short-acting β₂-agonists, for improving outcomes in patients with mild asthma and poor adherence. Effective patient/healthcare practitioner communication also has a significant role to engage and motivate adolescents to take their medication regularly.

Mobile Technology in Allergic Rhinitis: Evolution in Management or Revolution in Health and Care?

Smart devices and Internet-based applications (apps) are largely used in allergic rhinitis and may help to address some unmet needs. However, these new tools need to first of all be tested for privacy rules, acceptability, usability, and cost-effectiveness. Second, they should be evaluated in the frame of the digital transformation of health, their impact on health care delivery, and health outcomes. This review (1) summarizes some existing mobile health apps for allergic rhinitis and reviews those in which testing has been published, (2) discusses apps that include risk factors of allergic rhinitis, (3) examines the impact of mobile health apps in phenotype discovery, (4) provides real-world evidence for care pathways, and finally (5) discusses mobile health tools enabling the digital transformation of health and care, empowering citizens, and building a healthier society.

Telemedicine for Allergy Services to Rural Communities

Telemedicine (TM) involves the use of technology to provide medical services to patients who live at a distance. It can be used asynchronously for interpretation of test results (spirometry, skin tests imaging studies), and for communication of information when the simultaneous presence of provider and patient is unnecessary. Synchronous encounters can either be unscheduled and initiated on demand by patients or be facilitated substitutes for in-person visits. The latter results in asthma outcomes that are as good as those for in-person visits while reducing the cost and inconvenience of travel from rural communities to urban centers. Facilitated visits can be done in the ambulatory and emergency department settings, and they can be used for inpatient consults when allergy specialists are not readily available. Both patients and providers experience high degrees of satisfaction with this type of visit. In addition, virtual visits performed using TM are cost-effective. TM offers a solution to the shortage of specialty care that is present in rural communities.

Long noncoding RNA TUG1 promotes airway smooth muscle cells proliferation and migration via sponging miR-590-5p/FGF1 in asthma

The proliferation and migration of airway smooth muscle cells (ASMCs) plays an important role in asthma. Recently, the function of long noncoding RNA (lncRNA) in the ASMCs has been realized. This study tries to investigate the role of lncRNA TUG1 for the ASMCs and focus on the deepgoing mechanism in the proliferation and migration. In the asthma rat model, TUG1 expression level was increased comparing with control. In the cellular assay with gain and loss of functions, lncRNA TUG1 promoted the ASMCs proliferation and migration, and reduces apoptosis. In the mechanical investigation, results unveiled that miR-590-5p acted as the target of TUG1, while FGF1 was targeted by miR-590-5p. Overall, this study reveals the vital regulation of TUG1/miR-590-5p/FGF1 axis for the proliferation and migration of ASMCs.

Assessing exposure to outdoor air pollution for epidemiological studies: Model-based and personal sampling strategies

Epidemiologic studies have found air pollution to be causally linked to respiratory health including the exacerbation and development of childhood asthma. Accurately characterizing exposure is paramount in these studies to ensure valid estimates of health effects. Here, we provide a brief overview of the evolution of air pollution exposure assessment ranging from the use of ground-based, single-site air monitoring stations for population-level estimates to recent advances in spatiotemporal models, which use advanced machine learning algorithms and satellite-based data to accurately estimate individual-level daily exposures at high spatial resolutions. In addition, we review recent advances in sensor technology that enable the use of personal monitoring in epidemiologic studies, long-considered the "holy grail" of air pollution exposure assessment. Finally, we highlight key advantages and uses of each approach including the generalizability and public health relevance of air pollution models and the accuracy of personal monitors that are useful to guide personalized prevention strategies. Investigators and clinicians interested in the effects of air pollution on allergic disease and asthma should carefully consider the pros and cons of each approach to guide their application in research and practice.