Smartphones for Real-time Assessment of Adherence Behavior and Symptom Exacerbation for High-Risk Youth with Asthma: Pilot Study

Children and young people's preferences and needs when using health technology to self-manage a long-term condition: a scoping review

BACKGROUND

The use of patient-facing health technologies to manage long-term conditions (LTCs) is increasing; however, children and young people (CYP) may have preferences about health technologies which they interact or engage with, that influence their decision to use these technologies.

AIMS

To identify CYP's reported preferences about health technologies to self-manage LTCs.

METHODS

We undertook a scoping review, searching MEDLINE, PsycINFO and CINAHL in July 2021. Searches were limited to papers published between January 2015 and July 2021. We included any health technologies used to manage physical and mental LTCs. Qualitative content analysis of study data was undertaken to categorise data into themes and quantitative data were described and visually represented. We engaged CYP with LTCs to support the review design, interpretation of findings and development of recommendations.

RESULTS

161 journal articles were included, describing preferences of CYP. Most included studies were undertaken in high-income countries. CYP's main preferences and needs were: design and functionality; privacy and sharing; customisation and personalisation of the technology; and interaction options within the technology.

CONCLUSIONS

This review highlights important preferences and needs that CYP may have before using technologies to self-manage their LTC. These should be considered when developing technology for this population. Future research should involve CYP throughout the development of the technologies, from identifying their unmet needs through to final design, development, evaluation and implementation of the intervention.

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.

Use of Ecological Momentary Assessment to Measure Dyspnea in COPD

Dyspnea is an unpredictable and distressing symptom of chronic obstructive pulmonary disease (COPD). Dyspnea is challenging to measure due to the heterogeneity of COPD and recall bias associated with retrospective reports. Ecological Momentary Assessment (EMA) is a technique used to collect symptoms in real-time within a natural environment, useful for monitoring symptom trends and risks of exacerbation in COPD. EMA can be integrated into mobile health (mHealth) platforms for repeated data collection and used alongside physiological measures and behavioral activity monitors. The purpose of this paper is to discuss the use of mHealth and EMA for dyspnea measurement, consider clinical implications of EMA in COPD management, and identify needs for future research in this area.

Applications of the experience sampling method (ESM) in paediatric healthcare: a systematic review

BACKGROUND

With the Experience Sampling Method (ESM) participants are asked to provide self-reports of their symptoms, feelings, thoughts and behaviours in daily life. This preregistered systematic review assessed how ESM is being used to monitor emotional well-being, somatic health, fatigue and pain in children and adolescents with a chronic somatic illness.

METHODS

Databases were searched from inception. Studies were selected if they included children or adolescents aged 0-25 years with a chronic somatic illness and used ESM focussing on mental health or psychosocial wellbeing, biopsychosocial factors and/or somatic health. Two reviewers extracted data of the final 47 papers, describing 48 studies.

RESULTS

Most studies evaluated what factors influence medical or psychological symptoms and how symptoms influence each other. Another common purpose was to study the feasibility of ESM or ESM as part of an app or intervention. Study methods were heterogeneous and most studies lack adequate reporting of ESM applications and results.

CONCLUSIONS

While ESM holds great potential for providing results and feedback to patients and caregivers, little use is being made of this option. Future studies should consider what they report in their studies, conduct a priori power analyses and how ESM can be embedded in clinical practice.

IMPACT

While ESM has many clinical applications, it is currently mostly used for research purposes. Current studies using ESM are heterogeneous and lack consistent, high-quality reporting. There is great potential in ESM for providing patients and parents with personalised feedback.

iPREDICT: proof-of-concept study to develop a predictive model of changes in asthma control

BACKGROUND

The individualized PREdiction of DIsease Control using digital sensor Technology (iPREDICT) program was developed for asthma management using digital technology. Devices were integrated into daily lives of patients to establish a predictive model of asthma control by measuring changes from baseline health status with minimal device burden.

OBJECTIVES

To establish baseline disease characteristics of the study participants, detect changes from baseline associated with asthma events, and evaluate algorithms capable of identifying triggers and predicting asthma control changes from baseline data. Patient experience and compliance with the devices were also explored.

DESIGN

This was a multicenter, observational, 24-week, proof-of-concept study conducted in the United States.

METHODS

Patients (⩾12 years) with severe, uncontrolled asthma engaged with a spirometer, vital sign monitor, sleep monitor, connected inhaler devices, and two mobile applications with embedded patient-reported outcome (PRO) questionnaires. Prospective data were linked to data from electronic health records and transmitted to a secure platform to develop predictive algorithms. The primary endpoint was an asthma event: symptom worsening logged by patients (PRO); peak expiratory flow (PEF) < 65% or forced expiratory volume in 1 s < 80%; increased short-acting β2-agonist (SABA) use (>8 puffs/24 h or >4 puffs/day/48 h). For each endpoint, predictive models were constructed at population, subgroup, and individual levels.

RESULTS

Overall, 108 patients were selected: 66 (61.1%) completed and 42 (38.9%) were excluded for failure to respond/missing data. Predictive accuracy depended on endpoint selection. Population-level models achieved low accuracy in predicting endpoints such as PEF < 65%. Subgroups related to specific allergies, asthma triggers, asthma types, and exacerbation treatments demonstrated high accuracy, with the most accurate, predictive endpoint being >4 SABA puffs/day/48 h. Individual models, constructed for patients with high endpoint overlap, exhibited significant predictive accuracy, especially for PEF < 65% and >4 SABA puffs/day/48 h.

CONCLUSION

This multidimensional dataset enabled population-, subgroup-, and individual-level analyses, providing proof-of-concept evidence for development of predictive models of fluctuating asthma control.

Advancing Digital Solutions to Overcome Longstanding Barriers in Asthma and COPD Management

Maintenance therapy delivered via inhaler is central to asthma and chronic obstructive pulmonary disease (COPD) management. Poor adherence to inhaled medication and errors in inhalation technique have long represented major barriers to the optimal management of these chronic conditions. Technological innovations may provide a means of overcoming these barriers. This narrative review examines ongoing advances in digital technologies relevant to asthma and COPD with the potential to inform clinical decision-making and improve patient care. Digital inhaler devices linked to mobile apps can help bring about changes in patients' behaviors and attitudes towards disease management, particularly when they build in elements of interactivity and gamification. They can also support ongoing technique education, empowering patients and helping providers maximize the value of consultations and develop effective action plans informed by insights into the patient's inhaler use patterns and their respiratory health. When combined with innovative techniques such as machine learning, digital devices have the potential to predict exacerbations and prompt pre-emptive intervention. Finally, digital devices may support an advanced precision medicine approach to respiratory disease management and help support shared decision-making. Further work is needed to increase uptake of digital devices and integrate their use into care pathways before their full potential in personalized asthma and COPD management can be realized.

Digital interventions to improve adherence to maintenance medication in asthma

BACKGROUND

Asthma is the most common chronic lung condition worldwide, affecting 334 million adults and children globally. Despite the availability of effective treatment, such as inhaled corticosteroids (ICS), adherence to maintenance medication remains suboptimal. Poor ICS adherence leads to increased asthma symptoms, exacerbations, hospitalisations, and healthcare utilisation. Importantly, suboptimal use of asthma medication is a key contributor to asthma deaths. The impact of digital interventions on adherence and asthma outcomes is unknown.

OBJECTIVES

To determine the effectiveness of digital interventions for improving adherence to maintenance treatments in asthma.

SEARCH METHODS

We identified trials from the Cochrane Airways Trials Register, which contains studies identified through multiple electronic searches and handsearches of other sources. We also searched trial registries and reference lists of primary studies. We conducted the most recent searches on 1 June 2020, with no restrictions on language of publication. A further search was run in October 2021, but studies were not fully incorporated.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) including cluster- and quasi-randomised trials of any duration in any setting, comparing a digital adherence intervention with a non-digital adherence intervention or usual care. We included adults and children with a clinical diagnosis of asthma, receiving maintenance treatment.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures for data collection. We used GRADE to assess quantitative outcomes where data were available.

MAIN RESULTS

We included 40 parallel randomised controlled trials (RCTs) involving adults and children with asthma (n = 15,207), of which eight are ongoing studies. Of the included studies, 30 contributed data to at least one meta-analysis. The total number of participants ranged from 18 to 8517 (median 339). Intervention length ranged from two to 104 weeks. Most studies (n = 29) reported adherence to maintenance medication as their primary outcome; other outcomes such as asthma control and quality of life were also commonly reported. Studies had low or unclear risk of selection bias but high risk of performance and detection biases due to inability to blind the participants, personnel, or outcome assessors. A quarter of the studies had high risk of attrition bias and selective outcome reporting. We examined the effect of digital interventions using meta-analysis for the following outcomes: adherence (16 studies); asthma control (16 studies); asthma exacerbations (six studies); unscheduled healthcare utilisation (four studies); lung function (seven studies); and quality of life (10 studies). Pooled results showed that patients receiving digital interventions may have increased adherence (mean difference of 14.66 percentage points, 95% confidence interval (CI) 7.74 to 21.57; low-certainty evidence); this is likely to be clinically significant in those with poor baseline medication adherence. Subgroup analysis by type of intervention was significant (P = 0.001), with better adherence shown with electronic monitoring devices (EMDs) (23 percentage points over control, 95% CI 10.84 to 34.16; seven studies), and with short message services (SMS) (12 percentage points over control, 95% CI 6.22 to 18.03; four studies). No significant subgroup differences were seen for interventions having an in-person component versus fully digital interventions, adherence feedback, one or multiple digital components to the intervention, or participant age. Digital interventions were likely to improve asthma control (standardised mean difference (SMD) 0.31 higher, 95% CI 0.17 to 0.44; moderate-certainty evidence) - a small but likely clinically significant effect. They may reduce asthma exacerbations (risk ratio 0.53, 95% CI 0.32 to 0.91; low-certainty evidence). Digital interventions may result in a slight change in unscheduled healthcare utilisation, although some studies reported no or a worsened effect. School or work absence data could not be included for meta-analysis due to the heterogeneity in reporting and the low number of studies. They may result in little or no difference in lung function (forced expiratory volume in one second (FEV1)): there was an improvement of 3.58% predicted FEV1, 95% CI 1.00% to 6.17%; moderate-certainty evidence); however, this is unlikely to be clinically significant as the FEV1 change is below 12%. Digital interventions likely increase quality of life (SMD 0.26 higher, 95% CI 0.07 to 0.45; moderate-certainty evidence); however, this is a small effect that may not be clinically significant. Acceptability data showed positive attitudes towards digital interventions. There were no data on cost-effectiveness or adverse events. Our confidence in the evidence was reduced by risk of bias and inconsistency.

AUTHORS' CONCLUSIONS

Overall, digital interventions may result in a large increase in adherence (low-certainty evidence). There is moderate-certainty evidence that digital adherence interventions likely improve asthma control to a degree that is clinically significant, and likely increase quality of life, but there is little or no improvement in lung function. The review found low-certainty evidence that digital interventions may reduce asthma exacerbations. Subgroup analyses show that EMDs may improve adherence by 23% and SMS interventions by 12%, and interventions with an in-person element and adherence feedback may have greater benefits for asthma control and adherence, respectively. Future studies should include percentage adherence as a routine outcome measure to enable comparison between studies and meta-analysis, and use validated questionnaires to assess adherence and outcomes.

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

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

INTRODUCTION

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

PURPOSE

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

PATIENTS AND METHODS

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

RESULTS

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

CONCLUSION

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

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

The applications of eHealth technologies in the management of asthma and allergic diseases

Portable devices, such as smartphones and mobile Internet access have become ubiquitous in the last decades. The term 'eHealth' stands for electronic health. The tools included in the eHealth concept utilize phones, computers and the Internet and related applications to improve the health care industry. Implementation of eHealth technologies has been documented for the management of different chronic diseases, including asthma and allergic conditions. Clinicians and patients have gained opportunity to communicate in new ways, which could be used cost-effectively to improve disease control and quality of life of those affected. Additionally, these innovations bring new opportunities to academic researchers. For example, eHealth has allowed researchers to compile data points that were previously unavailable or difficult to access, and analyse them using novel tools, collectively described as 'big data'. The role of eHealth become more important since early 2020, due to the physical distancing rules and the restrictions on mobility that have been applied worldwide as a response to the coronavirus disease 2019 pandemic. In this review, we summarize the most recent developments in various eHealth platforms and their relevance to the speciality of allergy and immunology, from the point of view of three major stakeholders: clinicians, patients and researchers.

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

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

Parent Experiences With Electronic Medication Monitoring in Pediatric Asthma Management: Qualitative Study

BACKGROUND

Electronic medication monitoring (EMM) is a digital tool that can be used for tracking daily medication use. Previous studies of EMM in asthma management have been conducted in adults or have examined pediatric interventions that use EMM for less than 1 year. To understand how to improve EMM-enhanced interventions, it is necessary to explore the experiences of parents of children with asthma, recruited from outpatient practices, who completed a 12-month intervention trial.

OBJECTIVE

The objective of our study was to use qualitative inquiry to answer the following questions: (1) how did using an EMM-enhanced intervention change parents'/caregivers' experiences of managing their child's asthma, and (2) what do parents recommend for improving the intervention in the future?

METHODS

Parents were recruited from the intervention arm of a multicomponent health intervention enhanced by Bluetooth-enabled sensors placed on inhaler medications. Semistructured interviews were conducted with 20 parents of children aged 4-12 years with asthma. Interviews were audio-recorded, transcribed, and inductively analyzed using a constant comparative approach.

RESULTS

Interview participants reflected an even mix of publicly and privately insured children and a diverse racial-ethnic demographic. Parents discussed 6 key themes related to their experience with the EMM-enhanced intervention for the management of their child's asthma: (1) compatibility with the family's lifestyle, (2) impact on asthma management, (3) impact on the child's health, (4) emotional impact of the intervention, (5) child's engagement in asthma management with the intervention, and (6) recommendations for future intervention design. Overall, parents reported that the 12-month EMM intervention was compatible with their daily lives, positively influenced their preventive and acute asthma management, and promoted their child's engagement in their own asthma management. While parents found the intervention acceptable and generally favorable, some parents identified compatibility issues for families with multiple caregivers and frustration when the technology malfunctioned.

CONCLUSIONS

Parents generally viewed the intervention as a positive influence on the management of their child's asthma. However, our study also highlighted technology challenges related to having multiple caregivers, which will need to be addressed in future iterations for families. Attention must be paid to the needs of parents from low socioeconomic households, who may have more limited access to reliable internet or depend on other relatives for childcare. Understanding these family factors will help refine how a digital tool can be adopted into daily disease management of pediatric asthma.

Sensor-Based Electronic Monitoring for Asthma: A Randomized Controlled Trial

BACKGROUND

Although sensor-based monitoring of daily inhaled corticosteroids (ICSs) and short-acting β-agonist medications may improve asthma outcomes, the effectiveness of these interventions in diverse pediatric populations remains unclear.

METHODS

Caregiver and child dyads were randomly assigned to receive inhaler sensors that allowed for caregiver and clinician electronic monitoring of medications. End points included Asthma Control Test scores (≥19 indicated asthma control) and asthma health care use. Caregiver quality of life (QoL) and child ICS adherence were also assessed. Multilevel models were used to estimate adjusted changes from baseline.

RESULTS

Dyads were assigned to the control (n = 127) or intervention (n = 125) arms. At the end line, the mean Asthma Control Test score increased from 19.1 (SE = 0.3) to 21.8 (SE = 0.4) among the intervention and from 19.4 (SE = 0.3) to 19.9 (SE = 0.4) among the control (Δ_{intervention-control} = 2.2; SE = 0.6; P < .01). Adjusted rates of emergency department visits and hospitalizations among the intervention were significantly greater (incidence rate ratio_{emergency department} = 2.2; SE = 0.5; P < .01; incidence rate ratio_hospital = 3.4; SE = 1.4; P < .01) at endline than the control. Caregiver QoL was greater among the intervention at the endline (Δ_{intervention-control} = 0.3; SE = 0.2; P = .1) than the control.

CONCLUSIONS

Findings suggest that sensor-based inhaler monitoring with clinical feedback may improve asthma control and caregiver QoL within diverse populations. Higher health care use was observed among the intervention participants relative to the control, indicating further refinement is warranted.

Leveraging health system telehealth and informatics infrastructure to create a continuum of services for COVID-19 screening, testing, and treatment

Objectives

We describe our approach in using health information technology to provide a continuum of services during the coronavirus disease 2019 (COVID-19) pandemic. COVID-19 challenges and needs required health systems to rapidly redesign the delivery of care.

Materials and Methods

Our health system deployed 4 COVID-19 telehealth programs and 4 biomedical informatics innovations to screen and care for COVID-19 patients. Using programmatic and electronic health record data, we describe the implementation and initial utilization.

Results

Through collaboration across multidisciplinary teams and strategic planning, 4 telehealth program initiatives have been deployed in response to COVID-19: virtual urgent care screening, remote patient monitoring for COVID-19–positive patients, continuous virtual monitoring to reduce workforce risk and utilization of personal protective equipment, and the transition of outpatient care to telehealth. Biomedical informatics was integral to our institutional response in supporting clinical care through new and reconfigured technologies. Through linking the telehealth systems and the electronic health record, we have the ability to monitor and track patients through a continuum of COVID-19 services.

Discussion

COVID-19 has facilitated the rapid expansion and utilization of telehealth and health informatics services. We anticipate that patients and providers will view enhanced telehealth services as an essential aspect of the healthcare system. Continuation of telehealth payment models at the federal and private levels will be a key factor in whether this new uptake is sustained.

Conclusions

There are substantial benefits in utilizing telehealth during the COVID-19, including the ability to rapidly scale the number of patients being screened and providing continuity of care.

Managing Asthma and Obesity Related Symptoms (MATADORS): An mHealth Intervention to Facilitate Symptom Self-Management among Youth

Youth with multi-morbidity (one or more chronic diseases) are at increased risk of further morbidity and early mortality as they enter their adult years. Recent increases in both asthma and obesity among youth have led to high health care utilization, increased health related complications, and expanded risks of subsequent cardiovascular disease burden. Common symptoms seen with asthma and obesity include fatigue, pain, depression, and anxiety. These symptoms can result in decreased physical activity, social isolation, and poor quality of life, which also may contribute to increased morbidity and mortality over time. Youth ages 10–17 are in a transitionary period where their overall health and disease management shifts from one of parental oversight to one where the youth gradually experience increased autonomy over their health and care management. Managing Asthma and Obesity Related Symptoms (MATADORS), is a mHealth technology-enhanced nurse-guided intervention that incorporates a novel mobile health application and motivational enhancement principles within a behavioral activation framework. Providing high-risk youth with strategies to enhance symptom self-management may result in decreased symptom prevalence, improved quality of life, and long-term reduction of cardiovascular morbidity and mortality as they move into adulthood. Moreover, developing low-cost, scalable tools with end-user input may facilitate promote early intervention and improved access to care, and reduce overall disease burden and healthcare costs.

Quality of life and psychosocial outcomes in children with severe acute asthma and their parents

OBJECTIVES

To prospectively evaluate quality of life (QoL) and psychosocial outcomes in children with severe acute asthma (SAA) after pediatric intensive care (PICU) admission compared to children with SAA who were admitted to a general ward (GW). In addition, we assessed post-traumatic stress (PTS) and asthma-related QoL in the parents.

METHODS

A preplanned follow-up of 3-9 months of our nationwide prospective multicenter study, in which children with SAA admitted to a Dutch PICU (n=110) or GW (n=111) were enrolled between 2016-2018. Asthma-related QoL, PTS symptoms, emotional and behavioral problems, and social impact in children and/or parents were assessed with validated web-based questionnaires.

RESULTS

We included 100 children after PICU and 103 after GW admission, with a response rate of 50% for the questionnaires. Median time to follow-up was 5 months (range 1-12 months). Time to reach full schooldays after admission was significantly longer in the PICU group (mean of 10 vs 4 days, p=0.001). Parents in the PICU group reported more PTS symptoms (intrusion p=0.01, avoidance p=0.01, arousal p=0.02) compared to the GW group.

CONCLUSION

No significant differences were found between PICU and GW children on self-reported outcome domains, except for the time to reach full schooldays. PICU parents reported PTS symptoms more often than the GW group. Therefore, monitoring asthma symptoms and psychosocial screening of children and parents after PICU admission should both be part of standard care after SAA. This should identify those who are at risk for developing PTSD, in order to timely provide appropriate interventions. This article is protected by copyright. All rights reserved.

Patient and Parent Perspectives on Improving Pediatric Asthma Self-Management Through a Mobile Health Intervention: Pilot Study

BACKGROUND

Asthma is a common chronic pediatric disease that can negatively impact children and families. Self-management strategies are challenging to adopt but critical for achieving positive outcomes. Mobile health technology may facilitate self-management of pediatric asthma, especially as adolescents mature and assume responsibility for their disease.

OBJECTIVE

This study aimed to explore the perceptions of youths with high-risk asthma and their caregivers on the use of a smartphone app, Smartphone Asthma Management System, in the prevention and treatment of asthma symptoms, possible use of the app to improve self-management of asthma outside traditional clinical settings, and the impact of asthma on everyday life to identify potential needs for future intervention development.

METHODS

Key informant interviews were completed with parent-child dyads post participation in an asthma management feasibility intervention study to explore the perceptions of users on a smartphone app designed to monitor symptoms and medication use and offer synchronous and asynchronous provider encounters. A thematic qualitative analysis was conducted inductively through emergent findings and deductively based on the self-determination theory (SDT), identifying 4 major themes.

RESULTS

A total of 19 parent-child dyads completed the postintervention interviews. The major themes identified included autonomy, competence, relatedness, and the impact of asthma on life. The participants also shared their perceptions of the benefits and challenges associated with using the app and in the self-management of asthma. Both children and parents conveyed a preference for using technology to facilitate medication and disease management, and children demonstrated a strong willingness and ability to actively engage in their care.

CONCLUSIONS

Our study included support for the app and demonstrated the feasibility of enhancing the self-management of asthma by youth in the community. Participant feedback led to intervention refinement and app improvements, and the use of the SDT allowed insight into motivational drivers of behavioral change. The use of mobile apps among high-risk children with asthma and their parents shows promise in improving self-management, medication adherence, and disease awareness and in reducing overall disease morbidity.