| Literature DB >> 33238032 |
Giuliana Ferrante1, Amelia Licari2, Gian Luigi Marseglia2, Stefania La Grutta3.
Abstract
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.Entities:
Keywords: adherence; asthma; children; control; digital health; intervention; serious games; telemedicine
Mesh:
Year: 2020 PMID: 33238032 PMCID: PMC7753570 DOI: 10.1111/cea.13793
Source DB: PubMed Journal: Clin Exp Allergy ISSN: 0954-7894 Impact factor: 5.401
Serious Games developed and tested for asthma (modified from Drummond et al
| Type of Serious Game | Game Genre | Targeted age | Primary Learning Objectives | Reference |
|---|---|---|---|---|
| Asthma Command | Management simulation | 7‐12 y |
Knowledge of the disease, Medication: adherence, education and safety | Rubin et al |
| Watch, Discover, Think and Act | Training simulation |
6‐17 y; 9‐13 y |
Knowledge of the disease, Medication: adherence, education and safety | Bartholomew et al |
| Air Academy: The Quest for Airtopia | Adventure | 6‐12 y |
Knowledge of the disease, Medication: adherence, education and safety | Yawn et al |
| Asthma control | Adventure | 3‐12 y |
Knowledge of the disease, Medication: adherence, education and safety | Homer et al |
| The Asthma Files | mini‐games, quiz | 7‐14 y |
Knowledge of the disease, Medication: adherence, education and safety | McPherson et al |
| Wee Willie Wheezie | Platform | 7‐12 y |
Knowledge of the disease, Medication: adherence, education and safety | Huss et al |
| Bronkie's Asthma Adventure | Adventure | 5‐12 y |
Knowledge of the disease, Inhaler technique, Medication: adherence, education and safety | Shames et al |
| Quest for the code | Mini‐games, quiz, adventure | 8‐11 y |
Knowledge of the disease, Medication: adherence, education and safety | Howell et al |
| Asthma: 1,2,3… Breath! | Board game | 14‐18 y |
Knowledge of the disease, Medication: adherence, education and safety | Kaufmann et al |
| Lungtropolis | Mini‐games, quiz, puzzle | 5‐10 y |
Knowledge of the disease, Medication: adherence, education and safety | Schroeder et al |
Emerging e‐Health solutions for asthma management
| e‐Health solutions | Measured parameters | Comments | References |
|---|---|---|---|
| Electronic monitoring devices | |||
|
Digihaler™ | Time of inhaler use, the peak of inspiratory flow rate (PIFR), time of PIFR, inspiratory volume and duration. | Its efficacy has not been evaluated; one pilot study in adults has shown its ability to predict asthmatic exacerbations. | Safioti et al, 2019. |
| Propeller Health System | The inhaler sensor measures date, time, and the number of doses taken. Asthma Health Platform App assesses: the location of inhaler uses with GPS technology, current weather/pollen counts/air pollution and self‐report asthma symptoms/triggers. | This technology is portable and showed high acceptability among patients (children and adults), and improvements in asthma control. | Merchant et al, 2016. |
| Hailie™ solution, previously known as SmartInhaler™ platform | The inhaler sensor measures dates, time, number of inhaler actuation, and missed doses. Hailie™ App assesses medication adherence and reminds daily medication. | This sensor has demonstrated high user acceptability and efficacy in increasing medication adherence in children and adults. |
Charles et al, 2007. Foster et al, 2012. |
| Mobile‐based applications | |||
| Mobile‐based Apps | The vast majority of Apps provide self‐monitoring of asthma symptoms, triggers and medication use. | Apps showed the low quality of evidence in improving asthma control, lung function, and quality of life both in children and in adults. Apps have not been validated for clinical use and may show a high risk of lost private health information. |
Wu et al, 2015. Ramsey et al, 2019. |
| Wearable technologies | |||
| Fitbit™ | Fitbit™ measures heart rate, steps/day, physical activity, sedentary time, sleep efficiency and wake counts. | Fitbit™ is portable and commercially available. It has been tested for monitoring activity and sleep in children. Fitbit‐derived sleep quality correlates with PROMIS paediatric asthma impact score. |
Bian et al, 2017. Jaimini et al, 2018. |
Abbreviations: Apps, applications. GPS, Global Positioning System. PIFR, Peak of Inspiratory Flow Rate. PROMIS, Patient‐Reported Outcomes Measurement Information System.
Figure 1Telemedicine cycle in asthma management
Figure 2Future goals of digital health interventions in paediatric asthma