Parents' views on artificial intelligence for the daily management of childhood asthma: a survey

Abdoul, Cindy; Cros, Pierrick; Coutier, Laurianne; Hadchouel, Alice; Neuraz, Antoine; Burgun, Anita; Giovannini‐Chami, Lisa; Drummond, David

doi:10.1016/j.jaip.2020.11.048

Cited by 17 publications

(8 citation statements)

References 4 publications

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“…This change in mentality seems to have been largely reinforced by the COVID-19 pandemic: our team had conducted a similar study [ 9 ] among 300 parents of asthmatic children in France between September 2019 and February 2020, during which 45% of them had declared that they would never agree to use a DTS. In our study, only 31% of parents said they would never use a DTS.…”

Section: Discussionmentioning

confidence: 99%

“…Additional questions were asked about potential explanatory variables of their degree of preference for the DTS. The choice of the variables was based on a review of the literature, and included children’s characteristics (age, gender, school level), asthma severity (assessed using the GINA medication step), perceived importance of the physician–patient relationship, perceived knowledge of AI, concerns about data collection and use, and declared computer skills using scoring systems developed in our previous study [ 9 ] and presented in the supplementary material (Table S1 ).…”

Section: Methodsmentioning

confidence: 99%

“…While these DTS look attractive from a medical point of view, it is essential to collect the point of view of children and their families before developing such systems. In a survey conducted in France in 2020 before the COVID-19 pandemic, 54% of the 295 parents interviewed were ready to use such systems for the management of their child’s asthma, with socially advantaged parents being more willing to use them [ 9 ]. However, we are not aware of similar studies in children with asthma, who will be the first to be affected by this new type of management.…”

Section: Introductionmentioning

confidence: 99%

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Children’s views on artificial intelligence and digital twins for the daily management of their asthma: a mixed-method study

et al. 2022

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New technologies enable the creation of digital twin systems (DTS) combining continuous data collection from children’s home and artificial intelligence (AI)-based recommendations to adapt their care in real time. The objective was to assess whether children and adolescents with asthma would be ready to use such DTS. A mixed-method study was conducted with 104 asthma patients aged 8 to 17 years. The potential advantages and disadvantages associated with AI and the use of DTS were collected in semi-structured interviews. Children were then asked whether they would agree to use a DTS for the daily management of their asthma. The strength of their decision was assessed as well as the factors determining their choice. The main advantages of DTS identified by children were the possibility to be (i) supported in managing their asthma (ii) from home and (iii) in real time. Technical issues and the risk of loss of humanity were the main drawbacks reported. Half of the children (56%) were willing to use a DTS for the daily management of their asthma if it was as effective as current care, and up to 93% if it was more effective. Those with the best computer skills were more likely to choose the DTS, while those who placed a high value on the physician–patient relationship were less likely to do so. Conclusions : The majority of children were ready to use a DTS for the management of their asthma, particularly if it was more effective than current care. The results of this study support the development of DTS for childhood asthma and the evaluation of their effectiveness in clinical trials. What is Known: • New technologies enable the creation of digital twin systems (DTS) for children with asthma. • Acceptance of these DTSs by children with asthma is unknown. What is New: • Half of the children (56%) were willing to use a DTS for the daily management of their asthma if it was as effective as current care, and up to 93% if it was more effective. •Children identified the ability to be supported from home and in real time as the main benefits of DTS. Supplementary Information The online version contains supplementary material available at 10.1007/s00431-022-04754-8.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Children’s views on artificial intelligence and digital twins for the daily management of their asthma: a mixed-method study

et al. 2022

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“…However, according to data from the US, asthma control is insufficient in almost half of diagnosed children 13 Lack of control is presented as excessive use of rescue medications, recurrent visits to PCPs and ERs, as well as use of systemic corticosteroids and hospitalizations. Many efforts have been invested to improve asthma control: education of caregivers using community support and artificial intelligence 14 home peak-flow measurements, as well as instructions on use of control medications; 7 all with only modest effects. The current study evaluated the effect of a visit to an asthma specialist on asthma control.…”

Section: Discussionmentioning

confidence: 99%

Childhood Asthma – The Effect of Asthma Specialist Intervention on Asthma Control: A Retrospective Review

Rosman

Gabay

Landau

et al. 2021

JAA

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“…The third risk is that of self-exclusion of disadvantaged families. Several studies found that lower levels of education, lower levels of employment, and lower household income are associated with negative views and reluctance to participate in research programs involving AI [39][40][41][42], raising the risk that algorithms will be trained on data from advantaged families and optimized for these populations. However, DTS can also contribute to reducing inequalities in children's care; for example, by standardizing the care of children and bypassing the doctor for certain decisions, children from disadvantaged families, living in remote areas or with out-of-date doctors, can receive the same care with DTS as children living in privileged areas.…”

Section: Justicementioning

confidence: 99%

Technical, Ethical, Legal, and Societal Challenges With Digital Twin Systems for the Management of Chronic Diseases in Children and Young People

Drummond¹,

Coulet²

2022

J Med Internet Res

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Advances in digital medicine now make it possible to use digital twin systems (DTS), which combine (1) extensive patient monitoring through the use of multiple sensors and (2) personalized adaptation of patient care through the use of software. After the artificial pancreas system already operational in children with type 1 diabetes, new DTS could be developed for real-time monitoring and management of children with chronic diseases. Just as providing care for children is a specific discipline—pediatrics—because of their particular characteristics and needs, providing digital care for children also presents particular challenges. This article reviews the technical challenges, mainly related to the problem of data collection in children; the ethical challenges, including the need to preserve the child's place in their care when using DTS; the legal challenges and the dual need to guarantee the safety of DTS for children and to ensure their access to DTS; and the societal challenges, including the needs to maintain human contact and trust between the child and the pediatrician and to limit DTS to specific uses to avoid contributing to a surveillance society and, at another level, to climate change.

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Parents' views on artificial intelligence for the daily management of childhood asthma: a survey

Cited by 17 publications

References 4 publications

Children’s views on artificial intelligence and digital twins for the daily management of their asthma: a mixed-method study

Children’s views on artificial intelligence and digital twins for the daily management of their asthma: a mixed-method study

Childhood Asthma – The Effect of Asthma Specialist Intervention on Asthma Control: A Retrospective Review

Technical, Ethical, Legal, and Societal Challenges With Digital Twin Systems for the Management of Chronic Diseases in Children and Young People

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