The development of an automated device for asthma monitoring for adolescents: methodologic approach and user acceptability

Children and young people's self-reported experiences of asthma and self-management nursing strategies: An integrative review

AIM

To explore children and young people's (CYP) (5-24 years of age) self-reported experiences of asthma self-management strategies (ASMS) with nursing involvement across various settings.

BACKGROUND

Childhood asthma is an increasingly significant health issue, highlighting the importance of acquiring self-management skills to optimise future health outcomes. Registered nurses play a pivotal role in delivering appropriate, personalized self-management support.

METHODS

This integrative review searched four electronic databases: Cumulated Index to Nursing and Allied Health Literature via Elton B. Stephens Company, Medical Literature Analysis and Retrieval System Online (MEDLINE), Object, View and Interactive Design (OVID), and PubMed, that followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis flowchart. Included studies were critically appraised using the Joanna Briggs Institute critical appraisal tools. Braun and Clarks thematic analysis was used to generate themes, and sub-themes.

FINDINGS

Fifteen studies were included for review. Thematic analysis generated three themes being healthy literacy; health and wellbeing; and tools and working together.

CONCLUSIONS

Asthma continues to have negative physical, psychological, and social implications among CYP. CYP are both willing and capable of engaging in ASMS and learning self-management skills, however, continue to have unmet self-management needs.

IMPLICATIONS TO PRACTICE

Strategies must bolster health literacy, improve physical and psychological health, and harness interactive, youth-centric, and informative tools to facilitate communication and decrease the burden of self-management. Applications pose a promising avenue for self-management support. This age group remains under-explored and future research should enable meaningful engagement with CYP to better understand their perspectives and improve strategy success.

Adolescents' practical knowledge of asthma self-management and experiences in the context of acute asthma: a qualitative content analysis

OBJECTIVE

To characterize adolescents' practical knowledge of asthma self-management and experiences during acute asthma episodes, and compare practical knowledge between minority and non-minority groups.

METHODS

We conducted a secondary analysis using a qualitative descriptive design of textual data collected from 126 adolescents that participated in a randomized controlled trial of an asthma self-management program. Directed content analysis was conducted using four constructs of asthma self-management including symptom prevention, symptom monitoring, acute symptom management, and symptom communication.

RESULTS

Most of the adolescents knew how to prevent exercised-induced bronchoconstriction, but had limited understanding about how to assess and monitor the severity of acute symptoms, appropriately use bronchodilators, seek timely medical help, and communicate acute symptoms to caregivers or healthcare providers during a slow-onset and rapid-onset asthma attack. More minority participants monitored asthma using peak expiratory flow than non-minority participants, who often relied on symptom-based monitoring. Minority adolescents more frequently mentioned bronchodilator use to manage asthma attacks, while non-minority adolescents often reported use of complementary and alternative approaches. Minority youth mentioned accessing healthcare services for acute episodes more often than their non-minority counterparts. Minority participants mentioned communicating acute symptoms to their providers, or family members less frequently than non-minority youth.

CONCLUSIONS

Adolescents have insufficient practical knowledge about ways to prevent and manage acute asthma. Periodic assessment of learning needs related to asthma attacks should be considered a routine part of clinical visits for adolescents to provide targeted information support to address their identified needs.

Theoretical and contextual considerations for self-management strategies of children and adolescents with chronic diseases: An integrative review

The primary aim of this integrative review was to critically evaluate and synthesize published, peer-reviewed research to better understand self-management strategies of children and adolescents with chronic diseases. This review was guided by Whittemore and Knafl's methodological framework. The Pediatric Self-management Model provided the theoretical framework for understanding how self-management behaviors operate within the domains of individual, family, community, and healthcare systems. In June 2019, the electronic databases of EBSCOhost, PubMed, and Scopus, along with reference lists of applicable studies, were searched for appropriate publications. The initial searches yielded 920 citations. Of these, 11 studies met inclusion criteria. A key finding was that involving children and adolescents in the design and delivery phases of interventions was most effective in improving self-management when the interventions did not outweigh cognitive ability or maturity level. In addition, incorporating self-efficacy promotion into self-management interventions may lead to greater sense of responsibility and improved health outcomes. In terms of intervention delivery of self-management strategies, the use of technological platforms and devices was revealed as a promising avenue for youth. A final implication was the importance of family members, peers, and healthcare providers in supporting children and adolescents in adopting self-management behaviors.

Past and Trends in Cough Sound Acquisition, Automatic Detection and Automatic Classification: A Comparative Review

Cough is a very common symptom and the most frequent reason for seeking medical advice. Optimized care goes inevitably through an adapted recording of this symptom and automatic processing. This study provides an updated exhaustive quantitative review of the field of cough sound acquisition, automatic detection in longer audio sequences and automatic classification of the nature or disease. Related studies were analyzed and metrics extracted and processed to create a quantitative characterization of the state-of-the-art and trends. A list of objective criteria was established to select a subset of the most complete detection studies in the perspective of deployment in clinical practice. One hundred and forty-four studies were short-listed, and a picture of the state-of-the-art technology is drawn. The trend shows an increasing number of classification studies, an increase of the dataset size, in part from crowdsourcing, a rapid increase of COVID-19 studies, the prevalence of smartphones and wearable sensors for the acquisition, and a rapid expansion of deep learning. Finally, a subset of 12 detection studies is identified as the most complete ones. An unequaled quantitative overview is presented. The field shows a remarkable dynamic, boosted by the research on COVID-19 diagnosis, and a perfect adaptation to mobile health.

Digital Health Technology in Asthma: A Comprehensive Scoping Review

BACKGROUND

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Impact of the Fourth Industrial Revolution on the Health Sector: A Qualitative Study

Objectives

The Fourth Industrial Revolution is changing the way health is understood, transforming the methods of treatment and diagnosis as well as the relationship between health professionals and patients and altering the management and organization of health systems. The main objective of this study was to explore the impact that the Fourth Industrial Revolution is having on the health sector.

Methods

Conducting interviews consisting of four questions with 10 professionals who had experience working in the health sector to gain their insights and to obtain information to meet the general objective of the study as well as its specific objectives.

Results

From the analysis of the respondents’ responses, it was possible to create five dimensions developed by the topics most addressed by respondents, namely, impact on healthcare efficiency and effectiveness, impact on government action, impact on human resources, impact on health system organization, and financial impact on the health sector.

Conclusions

Although the Fourth Industrial Revolution is still at an early stage, it has been concluded that it is having a major positive impact on the health sector. For the effective and efficient implementation of these disruptive technologies, a global interaction between governments, health professionals, stakeholders, and society is essential to make this change possible.

The present and future of cough counting tools

The widespread use of cough counting tools has, to date, been limited by a reliance on human input to determine cough frequency. However, over the last two decades advances in digital technology and audio capture have reduced this dependence. As a result, cough frequency is increasingly recognised as a measurable parameter of respiratory disease. Cough frequency is now the gold standard primary endpoint for trials of new treatments for chronic cough, has been investigated as a marker of infectiousness in tuberculosis (TB), and used to demonstrate recovery in exacerbations of chronic obstructive pulmonary disease (COPD). This review discusses the principles of automatic cough detection and summarises key currently and recently used cough counting technology in clinical research. It additionally makes some predictions on future directions in the field based on recent developments. It seems likely that newer approaches to signal processing, the adoption of techniques from automatic speech recognition, and the widespread ownership of mobile devices will help drive forward the development of real-time fully automated ambulatory cough frequency monitoring over the coming years. These changes should allow cough counting systems to transition from their current status as a niche research tool in chronic cough to a much more widely applicable method for assessing, investigating and understanding respiratory disease.

Experience in using computer bronchophonography in paediatric practice

Thanks to the innovations in the information technology field, computer acoustic diagnosis is beginning to be used in the clinical practice. Computer bronchophonography is one of the promising domestic innovations in the field of methods of measuring the functional state of the respiratory system. This method can be used at any stage of medical care to identify bronchial obstruction, monitor the effectiveness of treatment and preventive measures in patients with bronchopulmonary diseases, which is especially important in early and preschool years. However, further research is required in this current field, both from research and practical perspectives. In the article, the authors present their own experience in using and interpreting the results of bronchophonography in children.

Wearables and the medical revolution

Wearable sensors are already impacting healthcare and medicine by enabling health monitoring outside of the clinic and prediction of health events. This paper reviews current and prospective wearable technologies and their progress toward clinical application. We describe technologies underlying common, commercially available wearable sensors and early-stage devices and outline research, when available, to support the use of these devices in healthcare. We cover applications in the following health areas: metabolic, cardiovascular and gastrointestinal monitoring; sleep, neurology, movement disorders and mental health; maternal, pre- and neo-natal care; and pulmonary health and environmental exposures. Finally, we discuss challenges associated with the adoption of wearable sensors in the current healthcare ecosystem and discuss areas for future research and development.

Asthma Management in the Era of Smart-Medicine: Devices, Gadgets, Apps and Telemedicine

Asthma is the most common chronic pediatric condition. Effective asthma management requires a proactive and inclusive approach that controls the patient's symptoms and prevents recurrence of exacerbations. Clinicians should encourage patients to become involved in their management since self-management approaches have proven to be an effective means for chronic illness treatment. Novel forms of self-monitoring and management are technological interventions. In the last decade, novel technology has been developed and used to improve asthma control since it is a powerful agent that addresses a variety of challenges in chronic disease management such as education, communication and adherence. A myriad of technology-based strategies are available although many of these are not evidence based and further studies are needed to evaluate their efficacy in specific asthma-control endpoints. Herein, authors present a review of current and future technology-based options for asthma management and a comparison between them.

Improving adherence to asthma medications: current knowledge and future perspectives

PURPOSE OF REVIEW

Poor adherence to asthma controller medications, particularly inhaled corticosteroids, has been well known for decades and is a major cause of uncontrolled asthma and increased healthcare utilization. This review presents recent evidence on factors leading to nonadherence in specific age groups, parents of young children, adolescents and young adults, adults, and the elderly. Novel management strategies including electronic sensors with associated smart phone applications for adherence improvement are discussed.

RECENT FINDINGS

Interventions to promote adherence must include a focus on issues important to the patient. Parents are concerned about adverse effects and the difficulty of medication administration in their child; adolescents and young adults need help with organizational skills and social barriers; adults may be more receptive to the need for daily medication after an acute exacerbation and acceptance of their disease; the elderly may have medication misuse issues associated with cognitive decline and other comorbidities related to aging. In all age groups, a trusting relationship with the provider is the key. New digital devices to track adherence may provide feedback to the patient and provider to evaluate and to promote adherence.

SUMMARY

Personalized approaches are required to address adherence barriers in target populations. Research on specific needs and barriers in target populations and development of appropriate strategies for use of new digital technology for adherence monitoring is needed.

MÉTODOS PARA DESENVOLVIMENTO DE APLICATIVOS MÓVEIS EM SAÚDE: REVISÃO INTEGRATIVA DA LITERATURA

RESUMO Objetivo: identificar nas publicações nacionais e internacionais indexadas nas bases de dados os principais métodos adotados pelos pesquisadores para o desenvolvimento de aplicativos móveis em saúde. Método: revisão integrativa da literatura de estudos publicados nas bases de dados MEDLINE/PubMed, Scopus, Web of Science, CINAHL e SciELO, no período de 2012 a 2016. Foram selecionados para análise 21 artigos. Resultados: os principais métodos para desenvolvimento de aplicativos móveis na área da saúde descritos nos artigos foram: design instrucional sistemático, design instrucional contextualizado, design centrado no usuário e ciclo de vida de desenvolvimento de sistemas. Conclusão: independentemente do método de desenvolvimento escolhido, as etapas devem ser bem definidas e estruturadas, a fim de que o aplicativo móvel desenvolvido seja útil ao usuário final.

User profiles of an electronic mental health tool for ecological momentary assessment: MEmind

Ecological momentary assessment (EMA) is gaining importance in psychiatry. This article assesses the characteristics of patients who used a new electronic EMA tool: the MEmind Wellness Tracker. Over one year, 13811 adult outpatients in our Psychiatry Department were asked to use MEmind. We collected information about socio-demographic data, psychiatric diagnoses, illness severity, stressful life events and suicidal thoughts/behavior. We compared active users (N = 2838) and non-active users (N = 10,973) of MEmind and performed a Random Forest analysis to assess which variables could predict its use. Univariate analyses revealed that MEmind-users were younger (42.2 ± 13.5 years versus 48.5 ± 16.3 years; χ²  = 18.85; P < 0.001) and more frequently diagnosed with anxiety related disorders (57.9% versus 46.7%; χ²  = 105.92; P = 0.000) than non-active users. They were more likely to report thoughts about death and suicide (up to 24% of active users expressed wish for death) and had experienced more stressful life events than non-active users (57% versus 48.5%; χ²  = 64.65; P < 0.001). In the Random Forest analysis, 31 variables showed mean decrease accuracy values higher than zero with a 95% confidence interval (CI), including sex, age, suicidal thoughts, life threatening events and several diagnoses. In the light of these results, strategies to improve EMA and e-Mental Health adherence are discussed.

Parent and Clinician Preferences for an Asthma App to Promote Adolescent Self-Management: A Formative Study

BACKGROUND

Most youth asthma apps are not designed with parent and clinician use in mind, and rarely is the app development process informed by parent or clinician input.

OBJECTIVE

This study was conducted to generate formative data on the use, attitudes, and preferences for asthma mHealth app features among parents and clinicians, the important stakeholders who support adolescents with asthma and promote adolescent self-management skills.

METHODS

We conducted a mixed-methods study from 2013 to 2014 employing a user-centered design philosophy to acquire feedback from a convenience sample of 20 parents and 6 clinicians. Participants were given an iPod Touch and asked to evaluate 10 features on 2 existing asthma apps. Participant experiences using the apps were collected from questionnaires and a thematic analysis of audio-recorded and transcribed (verbatim) interviews using MAXQDA. Descriptive statistics were calculated to characterize the study sample and app feature feedback. Independent samples t tests were performed to compare parent and clinician ratings of app feature usefulness (ratings: 1=not at all useful to 5=very useful).

RESULTS

All parents were female (n=20), 45% were black, 20% had an income ≥US $50,000, and 45% had a bachelor's degree or higher education. The clinician sample included 2 nurses and 4 physicians with a mean practice time of 13 years. Three main themes provided an understanding of how participants perceived their roles and use of asthma app features to support adolescent asthma self-management: monitoring and supervision, education, and communication/information sharing. Parents rated the doctor report feature highest, and clinicians rated the doctor appointment reminder highest of all evaluated app features on usefulness. The peak flow monitoring feature was the lowest ranked feature by both parents and clinicians. Parents reported higher usefulness for the doctor report (t(10)=2.7, P<.02), diary (t(10)=2.7, P<.03), and self-check quiz (t(14)=2.5, P<.02) features than clinicians. Specific participant suggestions for app enhancements (eg, a tutorial showing correct inhaler use, refill reminders, pop-up messages tied to a medication log, evidence-based management steps) were also provided.

CONCLUSIONS

Parent and clinician evaluations and recommendations can play an important role in the development of an asthma app designed to help support youth asthma management. Two-way asthma care communication between families and clinicians and components involving families and clinicians that support adolescent self-management should be incorporated into adolescent asthma apps.

Low-Power Wearable Systems for Continuous Monitoring of Environment and Health for Chronic Respiratory Disease

We present our efforts toward enabling a wearable sensor system that allows for the correlation of individual environmental exposures with physiologic and subsequent adverse health responses. This system will permit a better understanding of the impact of increased ozone levels and other pollutants on chronic asthma conditions. We discuss the inefficiency of existing commercial off-the-shelf components to achieve continuous monitoring and our system-level and nano-enabled efforts toward improving the wearability and power consumption. Our system consists of a wristband, a chest patch, and a handheld spirometer. We describe our preliminary efforts to achieve a submilliwatt system ultimately powered by the energy harvested from thermal radiation and motion of the body with the primary contributions being an ultralow-power ozone sensor, an volatile organic compounds sensor, spirometer, and the integration of these and other sensors in a multimodal sensing platform. The measured environmental parameters include ambient ozone concentration, temperature, and relative humidity. Our array of sensors also assesses heart rate via photoplethysmography and electrocardiography, respiratory rate via photoplethysmography, skin impedance, three-axis acceleration, wheezing via a microphone, and expiratory airflow. The sensors on the wristband, chest patch, and spirometer consume 0.83, 0.96, and 0.01 mW, respectively. The data from each sensor are continually streamed to a peripheral data aggregation device and are subsequently transferred to a dedicated server for cloud storage. Future work includes reducing the power consumption of the system-on-chip including radio to reduce the entirety of each described system in the submilliwatt range.

A cross-sectional content analysis of Android applications for asthma

Providing patients opportunities for self-management and education about their disease, asthma applications designed for use on an Android operating system can have positive health outcomes across the range of demographics who use mHealth applications. This study provides a content analysis of freely available Google Android Platform Mobile Applications for Asthma. A list of applications was collected on 26 October 2014, using the search feature of the Google Play Android platform and using the words and phrases "Asthma," "Lung Function" and "Peak Flow." Each application was coded for its approach to asthma self-management, based on categories adapted by Huckvale et al., which are based on the Global Initiative for Asthma and the National Asthma Education and Prevention Program. The characteristics of the 15 asthma applications are described. Most of the asthma applications' primary function focused on patient self-monitoring and self-assessment. Using the HON Code, we found low health information quality across all asthma applications. Android asthma applications can have positive outcomes in helping patients as they provide opportunities for self-management and education about their disease. Future research should continue to monitor and evaluate the development and use of mHealth Asthma Applications. Based on these findings, and their indication of a gap in existing research, subsequent studies can continue to evaluate the development and use of mHealth Asthma Applications with increasing methodological consistency to improve the quality of in-app health information.

Evaluating the Validity of an Automated Device for Asthma Monitoring for Adolescents: Correlational Design

BACKGROUND

Symptom monitoring is a cornerstone of asthma self-management. Conventional methods of symptom monitoring have fallen short in producing objective data and eliciting patients' consistent adherence, particularly in teen patients. We have recently developed an Automated Device for Asthma Monitoring (ADAM) using a consumer mobile device as a platform to facilitate continuous and objective symptom monitoring in adolescents in vivo.

OBJECTIVE

The objectives of the study were to evaluate the validity of the device using spirometer data, fractional exhaled nitric oxide (FeNO), existing measures of asthma symptoms/control and health care utilization data, and to examine the sensitivity and specificity of the device in discriminating asthma cases from nonasthma cases.

METHODS

A total of 84 teens (42 teens with a current asthma diagnosis; 42 without asthma) aged between 13 and 17 years participated in the study. All participants used ADAM for 7 consecutive days during which participants with asthma completed an asthma diary two times a day. ADAM recorded the frequency of coughing for 24 hours throughout the 7-day trial. Pearson correlation and multiple regression were used to examine the relationships between ADAM data and asthma control, quality of life, and health care utilization at the time of the 7-day trial and 3 months later. A receiver operating characteristic (ROC) curve analysis was conducted to examine sensitivity and specificity based on the area under the curve (AUC) as an indicator of the device's capacity to discriminate between asthma versus nonasthma cases.

RESULTS

ADAM data (cough counts) were negatively associated with forced expiratory volume in first second of expiration (FEV1) (r=-.26, P=.05), forced vital capacity (FVC) (r=-.31, P=.02), and overall asthma control (r=-.41, P=.009) and positively associated with daily activity limitation (r=.46, P=.01), nighttime (r=.40, P=.02) and daytime symptoms (r=.38, P=.02), and health care utilization (r=.61, P<.001). Device data were also a significant predictor of asthma control (β=-.48, P=.003), quality of life (β=-.55, P=.001), and health care utilization (β=.74, P=.004) after 3 months. The ROC curve analysis for the presence of asthma diagnosis had an AUC of 0.71 (95% CI 0.58-0.84), which was significantly different from chance (χ(2) 1=9.7, P=.002), indicating the device's discriminating capacity. The optimal cutoff value of the device was 0.56 with a sensitivity of 51.3% and a specificity of 72.7%.

CONCLUSIONS

This study demonstrates validity of ADAM as a symptom-monitoring device in teens with asthma. ADAM data reflect the current status of asthma control and predict asthma morbidity and quality of life for the near future. A monitoring device such as ADAM can increase patients' awareness of the patterns of cough for early detection of worsening asthma and has the potential for preventing serious and costly future consequences of asthma.

My Interventional Drug-Eluting Stent Educational App (MyIDEA): Patient-Centered Design Methodology

Background

Patient adherence to medication regimens is critical in most chronic disease treatment plans. This study uses a patient-centered tablet app, “My Interventional Drug-Eluting Stent Educational App (MyIDEA).” This is an educational program designed to improve patient medication adherence.

Objective

Our goal is to describe the design, methodology, limitations, and results of the MyIDEA tablet app. We created a mobile technology-based patient education app to improve dual antiplatelet therapy adherence in patients who underwent a percutaneous coronary intervention and received a drug-eluting stent.

Methods

Patient advisers were involved in the development process of MyIDEA from the initial wireframe to the final launch of the product. The program was restructured and redesigned based on the patient advisers’ suggestions as well as those from multidisciplinary team members. To accommodate those with low health literacy, we modified the language and employed attractive color schemes to improve ease of use. We assumed that the target patient population may have little to no experience with electronic tablets, and therefore, we designed the interface to be as intuitive as possible.

Results

The MyIDEA app has been successfully deployed to a low-health-literate elderly patient population in the hospital setting. A total of 6 patients have interacted with MyIDEA for an average of 17.6 minutes/session.

Conclusions

Including patient advisers in the early phases of a mobile patient education development process is critical. A number of changes in text order, language, and color schemes occurred to improve ease of use. The MyIDEA program has been successfully deployed to a low-health-literate elderly patient population. Leveraging patient advisers throughout the development process helps to ensure implementation success.

Automated Cough Assessment on a Mobile Platform

The development of an Automated System for Asthma Monitoring (ADAM) is described. This consists of a consumer electronics mobile platform running a custom application. The application acquires an audio signal from an external user-worn microphone connected to the device analog-to-digital converter (microphone input). This signal is processed to determine the presence or absence of cough sounds. Symptom tallies and raw audio waveforms are recorded and made easily accessible for later review by a healthcare provider. The symptom detection algorithm is based upon standard speech recognition and machine learning paradigms and consists of an audio feature extraction step followed by a Hidden Markov Model based Viterbi decoder that has been trained on a large database of audio examples from a variety of subjects. Multiple Hidden Markov Model topologies and orders are studied. Performance of the recognizer is presented in terms of the sensitivity and the rate of false alarm as determined in a cross-validation test.