Mobile health applications for asthma

Reporting of asthma mobile health data for clinical practice: a qualitative study of pediatric provider perspectives

OBJECTIVE

Mobile health (mHealth), defined as the use of mobile phones or applications in healthcare, has been developed to enhance asthma care; yet implementation is inconsistent, and few studies have focused on provider perspectives on use in daily practice. The purpose of this study was to explore primary care pediatric provider perspectives regarding mHealth use in clinical practice for children with asthma.

METHODS

A qualitative, descriptive approach was utilized to perform semi-structured interviews on asthma mHealth use with providers caring for children with asthma. Interview transcripts were coded by two independent investigators and any differences were reconciled. Interviews continued until thematic saturation was achieved.

RESULTS AND CONCLUSIONS

Seventeen pediatric providers were recruited and interviewed. Three themes identified included implementation benefits, implementation barriers, and reporting desires, with 11 subthemes. Many subthemes were consistent across providers (e.g. self-management benefits and electronic medical record integration), while others such as provider clinical burden and approach to integrating mHealth data reports into daily workflow demonstrated variability. Provider perspectives highlight the potential of mHealth applications in asthma self-management while offering challenges related to clinical burden and suggestions for reporting and workflow integration. These results provide valuable perspectives on mHealth use and reporting to ensure provider efficiency and technology-enhanced asthma care. This study investigates pediatric provider perspectives on asthma mobile health use and reporting in daily practice, a topic that has not sufficiently been explored within the literature. Results can guide best practices, encourage more consistent use, and maximize the benefits of asthma mHealth tools by providers.

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.

Individualized aerosol medicine: Integrating device into the patient

Pulmonary drug delivery is complex due to several challenges including disease-, patient-, and clinicians-related factors. Although many inhaled medications are available in aerosol medicine, delivering aerosolized medications to patients requires effective disease management. There is a large gap in the knowledge of clinicians who select and provide instructions for the correct use of aerosol devices. Since improper device selection, incorrect inhaler technique, and poor patient adherence to prescribed medications may result in inadequate disease control, individualized aerosol medicine is essential for effective disease management and control. The components of individualized aerosol medicine include: (1) Selecting the right device, (2) Selecting the right interface, (3) Educating the patient effectively, and (4) Increasing patient adherence to therapy. This paper reviews each of these components and provides recommendations to integrate the device and interface into the patient for better clinical outcomes.

Multidisciplinary Development and Initial Validation of a Clinical Knowledge Base on Chronic Respiratory Diseases for mHealth Decision Support Systems

Most mobile health (mHealth) decision support systems currently available for chronic obstructive respiratory diseases (CORDs) are not supported by clinical evidence or lack clinical validation. The development of the knowledge base that will feed the clinical decision support system is a crucial step that involves the collection and systematization of clinical knowledge from relevant scientific sources and its representation in a human-understandable and computer-interpretable way. This work describes the development and initial validation of a clinical knowledge base that can be integrated into mHealth decision support systems developed for patients with CORDs. A multidisciplinary team of health care professionals with clinical experience in respiratory diseases, together with data science and IT professionals, defined a new framework that can be used in other evidence-based systems. The knowledge base development began with a thorough review of the relevant scientific sources (eg, disease guidelines) to identify the recommendations to be implemented in the decision support system based on a consensus process. Recommendations were selected according to predefined inclusion criteria: (1) applicable to individuals with CORDs or to prevent CORDs, (2) directed toward patient self-management, (3) targeting adults, and (4) within the scope of the knowledge domains and subdomains defined. Then, the selected recommendations were prioritized according to (1) a harmonized level of evidence (reconciled from different sources); (2) the scope of the source document (international was preferred); (3) the entity that issued the source document; (4) the operability of the recommendation; and (5) health care professionals' perceptions of the relevance, potential impact, and reach of the recommendation. A total of 358 recommendations were selected. Next, the variables required to trigger those recommendations were defined (n=116) and operationalized into logical rules using Boolean logical operators (n=405). Finally, the knowledge base was implemented in an intelligent individualized coaching component and pretested with an asthma use case. Initial validation of the knowledge base was conducted internally using data from a population-based observational study of individuals with or without asthma or rhinitis. External validation of the appropriateness of the recommendations with the highest priority level was conducted independently by 4 physicians. In addition, a strategy for knowledge base updates, including an easy-to-use rules editor, was defined. Using this process, based on consensus and iterative improvement, we developed and conducted preliminary validation of a clinical knowledge base for CORDs that translates disease guidelines into personalized patient recommendations. The knowledge base can be used as part of mHealth decision support systems. This process could be replicated in other clinical areas.

Predicting Health Risks of Adult Asthmatics Susceptible to Indoor Air Quality Using Improved Logistic and Quantile Regression Models

The increasing global patterns for asthma disease and its associated fiscal burden to healthcare systems demand a change to healthcare processes and the way asthma risks are managed. Patient-centered health care systems equipped with advanced sensing technologies can empower patients to participate actively in their health risk control, which results in improving health outcomes. Despite having data analytics gradually emerging in health care, the path to well established and successful data driven health care services exhibit some limitations. Low accuracy of existing predictive models causes misclassification and needs improvement. In addition, lack of guidance and explanation of the reasons of a prediction leads to unsuccessful interventions. This paper proposes a modeling framework for an asthma risk management system in which the contributions are three fold: First, the framework uses a deep learning technique to improve the performance of logistic regression classification models. Second, it implements a variable sliding window method considering spatio-temporal properties of the data, which improves the quality of quantile regression models. Lastly, it provides a guidance on how to use the outcomes of the two predictive models in practice. To promote the application of predictive modeling, we present a use case that illustrates the life cycle of the proposed framework. The performance of our proposed framework was extensively evaluated using real datasets in which results showed improvement in the model classification accuracy, approximately 11.5–18.4% in the improved logistic regression classification model and confirmed low relative errors ranging from 0.018 to 0.160 in quantile regression model.

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

Refinement of a Parent-Child Shared Asthma Management Mobile Health App: Human-Centered Design Study

BACKGROUND

The school-age years, approximately ages 7 through 11, represent a natural transition when children begin assuming some responsibility for their asthma management. Previously, we designed a theoretically derived, tailored parent-child shared asthma management mobile health app prototype, Improving Asthma Care Together (IMPACT).

OBJECTIVE

The purpose of this study was to use human-centered design (HCD) to iteratively refine IMPACT to optimize user experience and incorporate evidence-based longitudinal engagement strategies.

METHODS

This study used a mixed methods design from December 2019 to April 2021. Our app refinement used the HCD process of research, ideation, design, evaluation, and implementation, including 6 cycles of design and evaluation. The design and evaluation cycles focused on core app functionality, child engagement, and overall refinement. Evaluation with parent-child dyads entailed in-person and remote concept testing and usability testing sessions, after which rapid cycle thematic analyses identified key insights that informed future design refinement.

RESULTS

Twelve parent-child dyads enrolled in at least one round of this study. Eight of the 12 child participants were male with a mean age of 9.9 (SD 1.6) years and all parent participants were female. Throughout evaluation cycles, dyads selected preferred app layouts, gamification concepts, and overall features with a final design prototype emerging for full-scale development and implementation.

CONCLUSIONS

A theoretically derived, evidence-based shared asthma management app was co-designed with end users to address real-world pain points and priorities. An 8-week pilot study testing app feasibility, acceptability, and preliminary efficacy is forthcoming.

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.

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.

Digital health interventions in children with asthma

Although healthcare providers are actively involved in offering education, information and interventions for asthmatic patients, medication and therapeutic adherence remain low in the paediatric population, with estimates suggesting that adherence rates hover below 50%. A range of available digital health interventions has been explored in paediatric asthma with promising but variable results, limiting their widespread adoption in clinical practice. They include emerging technologies that yield the advantage of tracking asthma symptoms and medications, setting drug reminders, improving inhaler technique and delivering asthma education, such as serious games (video games designed for medical‐ or health‐related purposes), electronic monitoring devices, speech recognition calls, text messaging, mobile apps and interactive websites. Some of the proposed digital interventions have used multiple components, including educational and behavioural strategies and interactions with medical professionals. Overall, the implementation of such interventions may offer the opportunity to improve adherence and asthma control. In a state of emergency as the COVID‐19 pandemic, telemedicine can also play a central role in supporting physicians in managing children with asthma. This review evaluates the published literature examining digital health interventions for paediatric asthma and explores the most relevant issues affecting their implementation in practice and the associated evidence gaps, research limitations and future research perspectives.

Health provider perspectives of electronic medication monitoring in outpatient asthma care: a qualitative investigation using the consolidated framework for implementation research

OBJECTIVE

Little is known about the implementation challenges health providers might face with the use of digital health in outpatient asthma care. To qualitatively explore the experience of health providers with electronic medication monitoring (EMM) using an implementation science framework.

METHODS

Using the Consolidated Framework of Implementation Research (CFIR), we conducted interviews (n = 10) exploring health providers' experience with EMM with asthma patients from 5 primary care or specialty clinics. The EMM tracked albuterol and inhaled corticosteroid (ICS) use, and health providers called parents whenever ICS adherence waned, or albuterol use increased. Interviews were audio-recorded, transcribed, and deductively analyzed using directed content analysis.

RESULTS

Health providers reported the intervention's primary advantage, compared with current asthma care, was the ability to monitor medication use at-home. Most felt the intervention improved care delivery. Nurses and medical assistants described a process of phone calls and checking alerts, that had varying levels of administrative burden and complexity. Health providers felt that sustained implementation of the intervention model would require additional employees to handle the administrative and clinical workload. Half of the interviewed providers were unsure if patient needs were met by the intervention, while some cited technology syncing issues, others liked the enhanced interactions for asthma education.

CONCLUSION

Health providers reported positive experiences supporting parents and children with asthma using EMM but also highlighted intervention components that needed improvement or refinement to yield successful implementation in outpatient pediatric clinics. Recommendations for enhancing the intervention for a scaled-up implementation were discussed.

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.

ADAPT: Approach to Develop context-Aware solutions for Personalised asthma managemenT

People with asthma have heterogeneous triggers and symptoms, which they need to be aware of in order to implement the strategies to manage their condition. Context-aware reasoning has the potential to provide the personalisation that is required to address the heterogeneity of asthma by helping people to define the information that is relevant considering the characteristics of their condition and delivering services based on this information. This research work proposes the Approach to Develop context-Aware solutions for Personalised asthma managemenT (ADAPT), whose aim is to facilitate the creation of solutions allowing the required customisation to address the heterogeneity of asthma. ADAPT is the result of the constant interaction with people affected by asthma throughout the research project, which was possible to achieve thanks to the collaboration formed with the Centre for Applied Research of Asthma UK. ADAPT context dimensions facilitate the development of preventive and reactive features that can be configured depending on the characteristics of the person with asthma. The approach also provides support to people not knowing their triggers through case-based reasoning and includes virtual assistant as a complementing technology supporting asthma management. ADAPT is validated by people with asthma, carers and experts in respiratory conditions, who evaluated a mobile application that was built based on the approach.

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.

Wearable Technology and How This Can Be Implemented into Clinical Practice

PURPOSE OF REVIEW

Our day-to-day life is saturated with health data that was previously out of reach. Over the last decade, new devices and fitness technology companies are attempting to tap into this data, uncovering a treasure trove of useful information that, when applied correctly, has the potential to revolutionize the way we approach healthcare and chronic conditions like asthma, especially in the wake of the COVID-19 pandemic.

RECENT FINDINGS

By harnessing exciting developments in personalization, digitization, wellness, and patient engagement, care providers can improve health outcomes for our patients in a way we have never been able to do in the past. While new technologies to capture individual health metrics are everywhere, how can we use this information to make a real difference in our patients' lives? Navigating the complicated landscape of personal wearable devices, asthma inhaler sensors, and exercise apps can be daunting to even the most tech savvy physician. This manuscript will give you the tools necessary to make lasting changes in your patients' lives by exposing them to a world of usable, affordable, and relatable health technology that resonates with their personal fitness and wellness goals. These tools will be even more important post-COVID-19, as the landscape of clinical outpatient care changes from mainly in-person visits to a greater reliance on telemedicine and remote monitoring.

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.

Developing and pilot testing ASTHMAXcel, a mobile app for adults with asthma

Objective: We sought to compare the impact of ASTHMAXcel, a novel, guideline-based, patient-facing mobile app to human-delivered asthma education.Methods: We conducted a focus group with asthma patients in the Bronx to identify desired mobile app features. ASTHMAXcel was designed based on patient feedback and consistent with NAEPP, BTS/SIGN, and GINA guidelines. The app was reviewed by internists, allergist/immunologists, and pulmonologists specializing in asthma treatment, asthma educators, and a behavioral scientist, and iteratively refined. The refined version of ASTHMAXcel was administered once via tablet at our outpatient Montefiore Asthma Center (MAC). Asthma knowledge was measured through the Asthma Knowledge Questionnaire (AKQ) pre and post-intervention. We also recorded process outcomes including completion time and patient satisfaction. In parallel, human-delivered education was delivered once at MAC. These outcomes were similarly collected.Results: 60 patients were enrolled with 30 in the ASTHMAXcel and 30 in the human-educator group. Mean AKQ in the ASTHMAXcel group vs human-educator group pre-intervention was 9.9 vs 10.5, p = 0.27. Mean AKQ post-intervention in the ASTHMAXcel group vs human-educator group was 12.3 vs 14.4, p = 0.0002. The mean AKQ improvement for both groups were 2.4 vs 3.9, p = 0.007. Patients were highly satisfied in the ASTHMAXcel group scoring on average 27.9 out of 30 maximum points on the satisfaction survey. There was no difference in satisfaction scores or completion times (minutes) of either intervention.Conclusion: ASTHMAXcel was associated with an increase in AKQ, but the human-educator group experienced a greater improvement. ASTHMAXcel demonstrated no differences in process outcomes vs human-delivered education.

The Features of Mobile-Based Software in Self-Management of Patients with Asthma: A Review Article

BACKGROUND

The use of mobile-based software for the self-management of patients with asthma improves the quality of life, reduces healthcare costs, provides effective health care interventions in asthma, and supports the patients in self-management. The current study was performed to identify the features of mobile-based self-management software for patients with asthma (MSSPA).

MATERIALS AND METHODS

The present review study was performed in 2018. Four databases including PubMed, Scopus, Emerald, and Google Scholar were screened by the combination of selected keywords. Data were collected using a data extraction form. Data were analyzed using the content analysis method. Results were abstracted and reported based on the study objectives.

RESULTS

Of the 297 articles retrieved during the first round of search, 24 were selected; 15 of which were the original articles (62.5%). As the most important applications of MSSPA, it could be used as a tool to support patients in self-management, provide them with educational information, and self-observation. Also, 75% of the studies (n=18) emphasized the effectiveness of MSSPA. Identification of the required field of the software was the most important requirement in using MSSPA. Nevertheless, some of the studies reported the low quality and compatibility of some designed apps compared with those of the available information systems.

CONCLUSION

Identification of MSSPA features and considering them in new versions can promote the quality of MSSPA. However, according to the results of the study, in addition to identifying the software features, more attention should be paid to the users' needs in software design.

A Systematic Evaluation of Asthma Management Apps Examining Behavior Change Techniques

BACKGROUND

Mobile health (mHealth) apps have the potential to facilitate asthma self-management by including medication reminders, allowing self-monitoring of symptoms, improving access and quality of information communicated with provider, and providing educational resources to patients and parents. Many apps exist for asthma management; however, the extent to which apps include evidence-based behavior change strategies has not been examined.

OBJECTIVE

To review the content and quality of mHealth asthma management apps that are available to patients.

METHODS

Asthma apps were identified using a systematic search process. Twenty-three apps were coded for presence or absence of behavior change techniques (BCTs) using the taxonomy of BCTs as defined by Abraham and Michie in 2008. Quality ratings were also determined for each app using the Mobile App Rating Scale (MARS).

RESULTS

The number of BCTs each app used ranged from 1 to 11 (mean, 4). BCTs that were most commonly used were instruction, behavior-health link, self-monitoring, feedback, teach to use prompts/cues, consequences, and others' approval. Overall app quality based on MARS scores ranged from 2.45 to 4.50 (mean, 3.32). Two apps, Kiss myAsthma and AsthmaMD, used at least 8 BCTs and had high quality ratings.

CONCLUSIONS

Kiss myAsthma and AsthmaMD used at least 8 BCTs and had good quality scores.

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.

A Clinically Integrated mHealth App and Practice Model for Collecting Patient-Reported Outcomes between Visits for Asthma Patients: Implementation and Feasibility

OBJECTIVE

Mobile health (mHealth) apps may prove to be useful tools for supporting chronic disease management. We assessed the feasibility of implementing a clinically integrated mHealth app and practice model to facilitate between-visit asthma symptom monitoring as per guidelines and with the help of patient-reported outcomes (PRO).

METHODS

We implemented the intervention at two pulmonary clinics and conducted a mixed-methods analysis of app usage data and semi-structured interview of patients and clinician participants over a 25-week study period.

RESULTS

Five physicians, 1 physician's assistant, 1 nurse, and 26 patients participated. Twenty-four patients (92%) were still participating in the intervention at the end of the 25-week study period. On average, each patient participant completed 21 of 25 questionnaires (84% completion rate). Weekly completion rates were higher for participants who were female (88 vs. 73%, p = 0.02) and obtained a bachelor's degree level or higher (94 vs. 74%, p = 0.04). On average, of all questionnaires, including both completed and not completed (25 weekly questionnaires times 26 patient participants), 25% had results severe enough to qualify for a callback from a nurse; however, patients declined this option in roughly half of the cases in which they were offered the option. We identified 6 key themes from an analysis of 21 patients and 5 clinician interviews. From the patient's perspective, these include more awareness of asthma, more connected with provider, and app simplicity. From the clinician's perspective, these include minimal additional work required, facilitating triage, and informing conversations during visits.

CONCLUSION

Implementation of a clinically integrated mHealth app and practice model can achieve high patient retention and adherence to guideline-recommended asthma symptom monitoring, while minimally burdening clinicians. The intervention has the potential for scaling to primary care and reducing utilization of urgent and emergency care.

What Is the Impact of Innovative Electronic Health Interventions in Improving Treatment Adherence in Asthma? The Pediatric Perspective

Suboptimal adherence to treatment is a significant issue in the management of pediatric asthma and is a major cause of uncontrolled disease, life-threatening attacks, and increased use of health care resources. Electronic health solutions have the potential to positively impact asthma self-management in children and adolescents and their families, thereby improving treatment adherence and asthma outcomes. However, there is a lack of sufficient data to support widespread adoption of electronic health tools in pediatric asthma practice. A critical evaluation of the impact of these new interventions on treatment adherence in childhood asthma must consider unmet needs, heterogeneity of trials, safety and data security issues, long-term effects, and cost-effectiveness. This article explores the most relevant issues facing the role of electronic health and its subcategory-mobile health-in promoting treatment adherence in childhood asthma, focusing on current evidence gaps and limitations, and future research perspectives.

Dose Matters: A Smartphone Application to Improve Asthma Control Among Patients at an Urban Pediatric Primary Care Clinic

Objective: As the most common chronic condition of childhood, asthma is a frequent target for family education. However, current educational strategies rarely tailor to learning style or literacy level. Thus, we developed and implemented a smartphone application (app) leveraging gamified features entitled CHANGE Asthma ("Clinic, Home, And on the Go Education for Asthma"). We subsequently assessed its impact on asthma control. Methods: Patients aged 4-11 years with a previously documented childhood asthma control test (C-ACT) score of <20, indicating poor control, were recruited to participate in this randomized control pilot study. The intervention group downloaded CHANGE Asthma; asthma control was assessed at enrollment and at follow-up. The changes in C-ACT score in both groups were compared using analysis of covariance (primary outcome). App usage was monitored for 4 months following download, and the relationship between usage time, and the change in C-ACT score was assessed via linear regression. Results: The control and intervention groups both included 20 caregivers with 75% of participants completing follow-up. Although C-ACT scores among intervention participants significantly improved at follow-up, compared to their own baseline (P = 0.04), the change of C-ACT score did not significantly differ from that of the control group (P = 0.78). Among the intervention participants, there was a positive, dose-dependent relationship between app usage time and positive change in C-ACT score (P = 0.03). Conclusion: Usage of a gamified app was associated with a dose-dependent improvement in asthma control over time, suggesting that further evaluation of apps for asthma education, and perhaps for other chronic conditions, is warranted.

Evaluation of a mobile health intervention to support asthma self-management and adherence in the pharmacy

Background Several effective mobile health (mHealth) interventions have been developed to support patients with their medication use, however hardly any is implemented in clinical practice. Process evaluations and user experiences are therefore important for further implementation. Objective To explore experiences, barriers, and facilitators of pharmacists and patients towards the use of the interactive ADolescent Adherence Patient Tool (ADAPT). In addition, the perceptions of pharmacists towards mHealth interventions in general were explored. Setting Dutch community pharmacies. Methods Pharmacists (N = 24) and adolescent asthma patients (N = 87; age 12–18) completed a questionnaire about the ADAPT intervention. Pharmacists who did not have access to the ADAPT intervention (N = 26) completed a questionnaire on their perceptions towards mHealth. Main outcome measure Experiences, barriers, and facilitators of pharmacists and patients. Results Most patients (78%) would recommend the ADAPT intervention to others, and thought that the pharmacy was the right place for mHealth aiming to support adherence (63%). The possibility to monitor asthma symptoms was highly appreciated by patients and pharmacists. Pharmacists were satisfied with ADAPT intervention (96%), and using the intervention was not time consuming (91%). The ADAPT intervention promoted contact with patients (74%) and facilitated the healthcare providing role of pharmacists (83%). Pharmacists who did not have access to the ADAPT intervention mentioned time constraints and funding as main barriers for using mHealth. Conclusion Pharmacists and patients perceived many beneficial effects and were positive about the the use of the interactive ADolescent Adherence Patient Tool (ADAPT) intervention. This study emphasizes opportunities for mHealth in improving the quality of care, which supports the need for further implementation in clinical practice.

Effect of a mHealth intervention on adherence in adolescents with asthma: A randomized controlled trial

BACKGROUND

Adherence rates among asthma patients are generally low and decrease during adolescence, resulting in poorly controlled asthma. The aim of our study was to evaluate the effectiveness of the ADolescent Adherence Patient Tool (ADAPT), an interactive mobile health (mHealth) intervention, in supporting self-management and improving inhaled corticosteroid adherence in adolescents with asthma.

METHODS

We conducted a cluster randomized controlled trial in 66 Dutch community pharmacies. Asthma patients aged 12-18 years were invited to participate, based on pharmacy medication refill records. The main study outcome was self-reported medication adherence, measured with the Medication Adherence Report Scale (MARS). Secondary outcomes were asthma control and quality of life. Outcomes were measured at start (t = 0 months) and at the end of follow-up (t = 6 months). Mixed-effects models were used to analyze the effect.

RESULTS

In total, 234 adolescents (147 in the control group and 87 in the intervention group) completed the study; mean age 15.1 ± 1.9 years and 52.6% females. Adherence rates of patients with low baseline adherence (MARS scores ≤19; n = 76) increased with 1.42 points in the intervention group (n = 26). Adherence rates of patients in the control group (n = 50) decreased with 0.70 points. Thus there was a positive effect of the intervention on medication adherence (MARS +2.12, p = 0.04). This effect was stronger (MARS +2.52, p = 0.02) in poor adherent adolescents with uncontrolled asthma (n = 74). No effect of the intervention was observed on asthma control or quality of life.

CONCLUSIONS

The ADAPT intervention increases medication adherence in adolescents with asthma having poor adherence rates at baseline. Healthcare providers should consider a tailored mHealth approach to improve the asthma treatment.

Asthma and Allergy Mobile Apps in 2018

PURPOSE OF REVIEW

This paper offers a comprehensive review of interactive mobile allergy and asthma smartphone applications available within the USA in 2018, with an emphasis on interactive asthma apps.

RECENT FINDINGS

Primary care and specialty clinicians interested in introducing digital health apps into their practices will soon have more choices, for Apple® and major electronic medical record software companies are investing heavily in the mobile medical marketplace, guaranteeing personal health information and access to care will always be immediately available in one's digital hand. Interactive mobile asthma applications are valuable assets for patients and caregivers alike, for they offer immediate communications between patients and those responsible for providing for their needs.

What Kind of Information and Communication Technologies Do Patients with Type 2 Diabetes Mellitus Prefer? An Ecuadorian Cross-Sectional Study

PURPOSE

The purpose of this study is to assess the frequency of use of information and communication technologies and patterns of preference among Ecuadorian patients with diabetes.

METHODS

We conducted an anonymous cross-sectional survey on type 2 diabetes mellitus. A chi-square test for association and adjusted regression analyses were performed.

RESULTS

248 patients were enrolled, with a mean sample age of 57.7 years. SMS was the most used ICT (66.0%). The Internet was used by 45.2% of patients to obtain information about diabetes. SMS and email were rated as the most useful ICTs for receiving information (64.5% and 28.1%, resp.) and asking physicians about diabetes (63.8% and 26.1%, resp.). Patients were also interested in receiving disease information (82.4%) and asking physicians about diabetes (84.7%) through WhatsApp. Adjusted logistic regressions revealed that individuals aged 55 years or younger, those with superior degree level, and those with long diabetes history preferred email for receiving information and asking physicians about diabetes compared to those above 55 years, those with low education level, and those with short diabetes history, respectively.

CONCLUSION

Understanding preferences of ICTs among patients with diabetes could facilitate application development targeted towards specific requirements from patients.

Incorporating technology to advance asthma controller adherence

PURPOSE OF REVIEW

Technological innovations, including text messaging, smart phone applications, and electronic monitoring devices, aimed at improving asthma controller adherence are being rapidly introduced both into clinical care and directly marketed to patients. This review analyzes recent clinical trials implementing these interventions, with a focus on their benefits and shortcomings.

RECENT FINDINGS

Poor medication adherence continues to exert significant morbidity on patients with asthma. Objective, real-time measures to monitor adherence can overcome the limitations of prior methods, including self-report and prescription refills. Technological advances, especially those incorporating reminder systems, have demonstrated improved controller adherence. The increased adherence in these trials has not translated into consistent clinical improvement, including reducing hospitalizations, emergency department visits, and asthma exacerbations, possibly secondary to study design and poor inhalation technique.

SUMMARY

Novel monitoring and reminder technology can augment patient medication adherence and provide clues to management before escalating therapy. Further studies are needed to investigate the overarching clinical impact of this technology, especially as it grows into routine clinical practice.

The Potential of Mobile Apps for Improving Asthma Self-Management: A Review of Publicly Available and Well-Adopted Asthma Apps

Background

Effective disease self-management lowers asthma’s burden of disease for both individual patients and health care systems. In principle, mobile health (mHealth) apps could enable effective asthma self-management interventions that improve a patient’s quality of life while simultaneously reducing the overall treatment costs for health care systems. However, prior reviews in this field have found that mHealth apps for asthma lack clinical evaluation and are often not based on medical guidelines. Yet, beyond the missing evidence for clinical efficacy, little is known about the potential apps might have for improving asthma self-management.

Objective

The aim of this study was to assess the potential of publicly available and well-adopted mHealth apps for improving asthma self-management.

Methods

The Apple App store and Google Play store were systematically searched for asthma apps. In total, 523 apps were identified, of which 38 apps matched the selection criteria to be included in the review. Four requirements of app potential were investigated: app functions, potential to change behavior (by means of a behavior change technique taxonomy), potential to promote app use (by means of a gamification components taxonomy), and app quality (by means of the Mobile Application Rating Scale [MARS]).

Results

The most commonly implemented functions in the 38 reviewed asthma apps were tracking (30/38, 79%) and information (26/38, 68%) functions, followed by assessment (20/38, 53%) and notification (18/38, 47%) functions. On average, the reviewed apps applied 7.12 of 26 available behavior change techniques (standard deviation [SD]=4.46) and 4.89 of 31 available gamification components (SD=4.21). Average app quality was acceptable (mean=3.17/5, SD=0.58), whereas subjective app quality lied between poor and acceptable (mean=2.65/5, SD=0.87). Additionally, the sum scores of all review frameworks were significantly correlated (lowest correlation: r₃₆=.33, P=.04 between number of functions and gamification components; highest correlation: r₃₆=.80, P<.001 between number of behavior change techniques and gamification components), which suggests that an app’s potential tends to be consistent across review frameworks.

Conclusions

Several apps were identified that performed consistently well across all applied review frameworks, thus indicating the potential mHealth apps offer for improving asthma self-management. However, many apps suffer from low quality. Therefore, app reviews should be considered as a decision support tool before deciding which app to integrate into a patient’s asthma self-management. Furthermore, several research-practice gaps were identified that app developers should consider addressing in future asthma apps.

Information and communication technology use in asthmatic patients: a cross-sectional study in Latin America

Rapid diffusion, low cost and broad availability of information and communication technologies (ICTs) make them an attractive platform for managing care, communication and interventions in asthma. There is little information in Latin America about usage frequency of ICTs in asthmatic patients.

The analysis undertaken consisted of an observational, cross-sectional study that aimed to identify the frequency and type of ICTs most often used by asthmatics. The Spanish version of the Michigan questionnaire was employed in five Latin American countries. Age and educational level was categorised. Logistic regression was performed among these groups concerning the frequency of ICT usage and the level of interest shown in seeking and receiving information about asthma.

In total, 673 asthma patients were surveyed. The mean age was 43.44 years. Over two-thirds of the participants were female (68.4%). The most used ICT was the short message service (SMS) (69.9%). SMS and E-mail are useful tools for communicating (i.e. receiving and seeking information) with all asthma patients, irrespective of their age. WhatsApp (61.5%) and Facebook (32.0%) were rated as being the most interesting channels of communication for receiving information. Regression analysis showed that younger asthmatics and asthmatics with higher educational levels were most likely to use almost all forms of ICTs.

ICTs are generally an attractive platform for managing care, communication and interventions to improve asthma care. SMS and E-mail were found to be the preferred ICT forms among users. However, social media forms such as WhatsApp and Facebook may also be appropriate for certain types of patient.

ICT and social media use among asthmatics from Latin Americahttp://ow.ly/TxVj30cKylJ

Effective deployment of technology-supported management of chronic respiratory conditions: a call for stakeholder engagement

Background

Healthcare systems are under increasing strain, predominantly due to chronic non-communicable diseases. Connected healthcare technologies are becoming ever more capable and their components cheaper. These innovations could facilitate both self-management and more efficient use of healthcare resources for common respiratory diseases such as asthma and chronic obstructive pulmonary disease. However, newer technologies can only facilitate major changes in practice, and cannot accomplish them in isolation.

Focus of review

There are now large numbers of devices and software offerings available. However, the potential of such technologies is not being realised due to limited engagement with the public, clinicians and providers, and a relative paucity of evidence describing elements of best practice in this complex and evolving environment. Indeed, there are clear examples of wasted resources and potential harm. We therefore call on interested parties to work collaboratively to begin to realize the potential benefits and reduce the risks of connected technologies through change in practice. We highlight key areas where such partnership can facilitate the effective and safe use of technology in chronic respiratory care: developing data standards and fostering inter-operability, making collaborative testing facilities available at scale for small to medium enterprises, developing and promoting new adaptive trial designs, developing robust health economic models, agreeing expedited approval pathways, and detailed planning of dissemination to use.

Conclusion

The increasing capability and availability of connected technologies in respiratory care offers great opportunities and significant risks. A co-ordinated collaborative approach is needed to realize these benefits at scale. Using newer technologies to revolutionize practice relies on widespread engagement and cannot be delivered by a minority of interested specialists. Failure to engage risks a costly and inefficient chapter in respiratory care.

Wireless Sensor-Dependent Ecological Momentary Assessment for Pediatric Asthma mHealth Applications

Pediatric asthma is a prevalent chronic disease condition that can benefit from wireless health systems through constant symptom management. In this paper, we propose a smart watch based wireless health system that incorporates wireless sensing and ecological momentary assessment (EMA) to determine an individual's asthma symptoms. Since asthma is a multifaceted disease, this approach provides individualized symptom assessments through various physiological and environmental wireless sensor based EMA triggers specific to common asthma exacerbations. Furthermore, the approach described here improves compliance to use of the system through insightful EMA scheduling related to sensor detected environmental and physiological changes, as well as the patient's own schedule. After testing under several real world conditions, it was found that the system is sensitive to both physiological and environmental conditions that would cause asthma symptoms. Furthermore, the EMA questionnaires that were triggered based on these changes were specific to the asthma trigger itself, allowing for invaluable context behind the data to be collected.

Perspectives of patients and healthcare professionals on mHealth for asthma self-management

Mobile healthcare (mHealth) has the potential to revolutionise the self-management of long-term medical conditions such as asthma. A user-centred design is integral if mHealth is to be embraced by patients and healthcare professionals.The aim of this study was to determine the perspectives of individuals with asthma and healthcare professionals on the use of mHealth for asthma self-management.We used a sequential exploratory mixed methods design; focus groups informed the development of questionnaires, which were disseminated to individuals with asthma and healthcare professionals.Focus group participants (18 asthma patients and five healthcare professionals) identified 12 potential uses of mHealth. Questionnaire results showed that individuals with asthma (n=186) most frequently requested an mHealth system to monitor asthma over time (72%) and to collect data to present to healthcare teams (70%). In contrast, healthcare professionals (n=63) most frequently selected a system alerting patients to deteriorating asthma control (86%) and advising them when to seek medical attention (87%). Individuals with asthma were less likely than healthcare professionals (p<0.001) to believe that assessing medication adherence and inhaler technique could improve asthma control.Our data provide strong support for mHealth for asthma self-management, but highlight fundamental differences between the perspectives of patients and healthcare professionals.

A systematic review of serious games in asthma education

BACKGROUND

Serious games may be useful tools for asthma education. The objectives of this systematic review were to identify the available articles on serious games designed to educate patients and the general public about asthma and to assess their impact on patient's knowledge, behavior, and clinical outcomes related to asthma.

METHODS

PubMed, EMBASE, Cochrane Library, PsychInfo, and Web of Science were systematically searched from January 1980 to December 2015 for studies investigating serious games in asthma education. Two investigators independently assessed studies against inclusion criteria and rated those included on indicators of quality. Investigators extracted data on serious games' content and learning objectives, and on outcomes following Kirkpatrick classification.

RESULTS

A total of 12 articles were found to be relevant, describing a total of 10 serious games. All serious games were directed toward children, with eight games for children with asthma and two for school-based intervention. The average Medical Education Research Study Quality Instrument score was 13.9 of 18, which is high. Most of the serious games were associated with high rates of satisfaction and improvement in children's knowledge. Seven studies evaluated the impact of serious games on clinical outcomes and found no significant difference relative to control groups.

CONCLUSIONS

Although serious games designed for asthma education have evolved with advances in technology, results of their evaluation remained similar across studies, with clear improvements in knowledge but little or no change in behaviors and clinical outcomes.

Smartphone-based vs paper-based asthma action plans for adolescents

BACKGROUND

Adolescents with asthma are at risk of poor outcomes and are traditionally difficult to reach.

OBJECTIVE

To examine adolescents' use of and asthma outcomes associated with smartphone- vs paper-based asthma action plans (AAPs).

METHODS

We conducted a 6-month randomized clinical trial with adolescents (12-17 years old) with persistent asthma. Participants used their respective smartphone or paper AAPs for medication instructions and peak flow or asthma symptoms logging. AAP use was measured electronically for smartphone users and via mail-in diaries for the paper group. Changes in Asthma Control Test (ACT) and self-efficacy scores were examined.

RESULTS

Thirty-four adolescents participated in this study (median age, 15.4 years). Participants were mostly African American (62%) with state-issued insurance (71%). Adolescents in the smartphone group accessed the AAP a median of 12.17 times per week or 4.36 days per week but only recorded medications or symptoms and peak flow data in the electronic diary a median of 10 days per month during the 6-month period. Participants in the paper group recorded data a median of 23.5 days per month on their paper diaries. Overall, there were no changes in ACT and self-efficacy scores between groups. Adolescents with uncontrolled asthma (baseline ACT score ≤19) had an improvement in ACT for the smartphone group (before, 11; after, 20) ([P = .04) compared with no change in the paper group (before, 17; after, 17) (P = .64). Adolescent satisfaction with the application was high, with 100% stating they would recommend the smartphone AAP to a friend.

CONCLUSION

Adolescents were frequent and highly satisfied users of the smartphone AAP with a subset of participants with uncontrolled asthma demonstrating possible clinical benefit. Findings suggest a need for larger-scale studies to determine the effectiveness of smartphone-based AAPs among high-risk patients with asthma.

TRIAL REGISTRATION

clinicaltrials.gov Identifier: NCT02091869.

Improvement in Asthma Control Using a Minimally Burdensome and Proactive Smartphone Application

BACKGROUND

Integrated chronic disease treatment models that enable patient self-care and shared treatment decision making have recently been shown to improve medication adherence and outcomes. Smartphone applications (apps) are a readily available means to enable this model, although sustained user engagement remains a challenge.

OBJECTIVE

To assess the efficacy of improving asthma control using a proactive smartphone app without required regular inputs.

METHODS

We designed a minimally intrusive smartphone app to provide individualized and timely support to patients with asthma based on the National Asthma Education and Prevention Program guidelines and Scripps management pathways. In this proof-of-concept study, we enrolled 60 adults with poorly controlled asthma to test the usability and effectiveness of this app over a 4-month period. The Asthma Control Test survey was used to assess control before, during, and after app use. As a corollary, a retrospective chart review was also used to assess changes in lung function and prescribed courses of systemic corticosteroids.

RESULTS

Our patients, with a mean age of 50 years, reported an improvement in Asthma Control Test scores from 16.6 (inadequate to poor) to 20.5 (controlled) over the study period. Concurrently, there was a 7.9% absolute increase in FEV1, while courses of systemic corticosteroids decreased from 0.5 to 0.3 courses per 6-month period. Fifty-eight of 60 patients completed the final survey, with high satisfaction reported.

CONCLUSIONS

This app improved asthma control in a cohort of patients with uncontrolled asthma (age range, 17-82 years), while minimizing burdensome inputs and proactively providing individualized teaching and treatment support. The app and treatment model are scalable to cost-effectively manage chronic disease.

Innovations in health information technologies for chronic pulmonary diseases

Asthma and chronic obstructive pulmonary disease (COPD) are common chronic obstructive lung disorders in the US that affect over 49 million people. There is no cure for asthma or COPD, but clinical guidelines exist for controlling symptoms that are successful in most patients that adhere to their treatment plan. Health information technologies (HITs) are revolutionizing healthcare by becoming mainstream tools to assist patients in self-monitoring and decision-making, and subsequently, driving a shift toward a care model increasingly centered on personal adoption and use of digital and web-based tools. While the number of chronic pulmonary disease HITs is rapidly increasing, most have not been validated as clinically effective tools for the management of disease. Online communities for asthma and COPD patients are becoming sources of empowerment and support, as well as facilitators of patient-centered research efforts. In addition to empowering patients and facilitating disease self-management, HITs offer promise to aid researchers in identifying chronic pulmonary disease endotypes and personalized treatments based on patient-specific profiles that integrate symptom occurrence and medication usage with environmental and genomic data.

The WEB-based Asthma Control: an intriguing connection or a dangerous hazard?

Globally, an estimated 300 million people have asthma, presenting a considerable and increasing burden of disease for healthcare systems, families, and patients themselves. Despite two decades of guidelines, asthma seems to remain not optimally controlled in a substantial proportion of people. The achievement of asthma control is the result of the interaction among different variables concerning the disease pattern and patients’ and physicians’ knowledge and behavior. It is well known that adherence to treatment increases in parallel to patient education. There is now a growing interest in the use of digital information technologies to promote asthma control and improve outcomes. Mobile health, or mHealth, refers to mobile devices, medical sensors, and communication technologies that can enhance chronic disease care and monitoring. Aim of this review was to evaluate the web resources nowadays available and to analyze the published studies about the web-based instruments used to improve asthma knowledge, control asthma outcomes. In general, studies revealed that the technology is well accepted. Interactive asthma technology may be, in addition, of help in reaching populations difficult to reach, such as inner city populations. The number of tools and apps available continues to increase, and agencies such as the FDA, become involved in their regulation, thus the mHealth landscape will continue to evolve. Although asthma tools and apps have great potential to improve care for asthma, the proof of data reproducibility, the demonstration of effectiveness, and the privacy issues still represent the major technical problems.