Abstract
Introduction
Adherence monitoring to inhaled corticosteroids is an essential component of asthma management. Electronic monitoring devices (EMD) provide objective data on date, time and number of actuations. However, most give no information on inhalation. Novel EMD (NEMD) platforms have the potential to monitor both activation and inhalation.
Aim
To assess the feasibility of NEMDs, in terms of usability, acceptability to patients and healthcare professionals and accuracy.
Methods
This was an open-label, prospective, mixed-methods, pragmatic randomised study. Children with asthma attending specialist tertiary care were randomised to one of four NEMD: Remote Directly Observed Therapy (R-DOT), Hailie Smartinhaler, INhaler Compliance Assessment device (INCA) and the Rafi-tone App. Following monitoring, participants were invited to focus groups or one-to-one interviews. Usability and acceptability were evaluated using themes identified from the focus groups and interviews. Adherence accuracy was determined using adherence data from each NEMD.
Results
Thirty-five children were recruited; 18 (51%), (11 males, median age 13.5 (7–16) years) completed monitoring, 14 (78%) provided feedback. Participants identified various features such as ease of use and minimal effort as desirable criteria for an NEMD. The Hailie and INCA fulfilled these criteria and were able to record both actuation and inhalation. Negative themes included a ‘Big Brother’ effect and costs.
Conclusion
There was no ‘one size fits all’, as participants identified advantages and disadvantages for each NEMD. Devices that can easily calculate adherence to activation and inhalation have the potential to have greatest utility in clinical practice. Each NEMD has different functionality and therefore choice of platform should be determined by the needs of the patient and healthcare professional.
Keywords: asthma, inhaler devices, paediatric asthma
Key messages.
What is the key question?
Which novel electronic adherence monitoring devices (NEMDs), that can measure both inhalation and activation is the most feasible to use as a tool for monitoring adherence in children aged 6-16 years with asthma in terms of accuracy, usability and acceptability?
What is the bottom line?
NEMDs that have the ability to monitor actuation, inhalation and technique provide more accurate estimates of adherence to inhaled corticosteroids in children with asthma. Participants identified ease of use and lack of disruption to daily routine as desirable attributes of an NEMD.
Why read on?
EMDs are increasingly used to measure adherence to asthma medications; however, there are limitations. NEMDs address some of these limitations by assessing both inhalation and actuation. The parents and young people who participated in this study offer unique insights into the utility of NEMDs in clinical practice.
The four NEMDs tested were found to have different functionalities and therefore choice of platform should be determined by the needs of the patient and healthcare professional. The ability to monitor adherence remotely in real time is an added bonus in the current digital era. These devices could be utilised in virtual clinics to monitor adherence remotely.
Introduction
It is estimated that 5.4 million people in the UK are diagnosed with asthma, of which 1.1 million are children.1 The UK has the highest rate of asthma deaths in Europe2 and young people in the UK are at higher risk of dying from asthma or having poorer quality of life than their counterparts in other high-income countries.3
Asthma accounts for a high economic burden with the National Health Service spending approximately £1 billion a year on asthma.3 The majority (90%) of these costs are attributed to asthma medications.4 Inappropriate use of medicines and suboptimal adherence results in higher healthcare costs and poorer health outcomes, including an increased risk of asthma attacks and hospital admissions.5
A key aspect of improving adherence is being able to measure medication adherence accurately.3 4 6–9 However, this is challenging as clinicians’ ability to estimate adherence is poor10 11 and parents and children often overestimate adherence in self-reports12 13 to please clinicians. Objective adherence measures such as dispensing data or electronic adherence monitoring using electronic monitoring devices (EMDs), are more accurate. EMDs attach onto inhalers and capture data on inhaler activation, timing of the activation and the number of doses activated. Several EMDs are available for asthma and are generally considered the ‘gold standard’ for adherence monitoring,8 9 14 15
EMDs have two key roles: (1) enabling healthcare professionals to interpret asthma control in the context of adherence and inform better decision making; and (2) as an intervention and tool for the patient to aid self-management and improve adherence. However, current EMDs only measure activation (eg, the depression of the inhaler canister) and provide no information on whether the inhaler was used correctly or if inhalation occurred.10 16 17
Several novel EMD (NEMD) platforms are currently in development which enable clinicians and patients to monitor both activation and inhalation, thus ensuring more accurate estimates of adherence and to better identify and address practical and perceptual barriers to adherence. However, to date only three studies on EMDs have assessed platforms which monitor activation and inhalation in asthma: two were on the inhaler compliance assessment device (INCA)18 19 studying accuracy, adherence rates and inhaler technique and one on mobile directly observed therapy (m-DOT),20 investigating connectivity and usability as a primary outcome; only the latter study included children. The feasibility of these platforms in terms of usability, acceptability,21 and accuracy of the EMDs to children, their families and healthcare professionals has not been explored. Understanding these three parameters, is key to ensure patient and healthcare professional engagement with these devices and ensure accurate decision making.
The aim of this study was to evaluate four NEMDs which have the potential to monitor both inhaler device actuation and inhalation in terms of usability, acceptability and monitoring accuracy.
Methods
This was a prospective, single-centre, open-label, pragmatic randomised, mixed-methods study to explore the feasibility of using NEMDs in children with asthma at a specialist tertiary centre. Feasibility refers to the capability of the device to monitor adherence in clinical practice specifically investigating usability, acceptability and accuracy, using a qualitative and quantitative approach. Usability and acceptability of the NEMDs for patient and healthcare providers were assessed qualitatively using focus group discussions or one to one interview with children and their carers, and separately with paediatric respiratory Clinical Nurse Specialists (CNS). Device accuracy and impact on asthma outcomes were assessed by quantifying usable data from the devices and comparing adherence according to activation and correct inhalation and measuring asthma outcomes in the children. Ethical approval was obtained from the London Fulham Research committee and the Health Research Authority and the study was registered with clinicaltrials.gov. General Data Protection Regulations were followed.
Study population
Children aged between 6 and 16 years with a diagnosis of asthma, prescribed inhaled corticosteroids (ICS) and attending the paediatric asthma clinic at the Royal Brompton Hospital (RBH), London, UK were recruited from October 2018 to May 2019.
Children’s CNS working with the asthma team at RBH were recruited for the CNS focus group.
Written, informed consent was obtained from the parent/carer, and CNS’, and consent or age appropriate assent from the child.
Children were assigned to use one of the following four NEMDs for up to 12 weeks duration. All devices were CE marked and tested for safety (figure 1):
Hailie sensor (Adherium, New Zealand)
The Hailie is a battery powered electronic data logger which is suitable for attachment to a Turbohaler (eg, Symbicort). The sensor has an inbuilt electronic clock and calendar which logs the date and time of inhaler actuation. The device also contains a microphone that detects inhalation of the drug and a sensor for detecting the positioning of the Turbohaler.
Rafi-tone acoustic enabled smartphone APP (clin-e-cal, UK) with Flo-Tone (Clement Clarke, UK)
The Flo-Tone attaches to a metered-dose inhaler (MDI) and produces a sound when the inhaler is used correctly with a spacer. This sound activates a game which the child plays as they are inhaling the dose. The game only functioned when the correct flow was generated through the spacer for the Flo-tone to make a noise, which is detected by the App and drives the game. A record of the date and time the game was played is logged on a tracker. The game is aimed at younger children (6–11 years). It was designed as an incentive tool to improve inhaler technique for younger children and adapted for this study to record inhaler use.
INhaler Compliance Assessment (INCA_device (INCA, Ireland)
The INCA is an electronic data logger that attaches to a Diskus/Diskhaler dry powder inhaler (eg, Seretide Accuhaler). This device measures adherence using an audio recording. An inbuilt analysis of the digital audio recordings enables objective assessment of inhaler use and technique.
Remote Directly Observed Therapy (R-DOT)
The R-DOT platform monitors adherence by filming inhaler use, using a Smartphone. The clip is then uploaded via a secure website (Continga, UK). The clips were reviewed by a Paediatric asthma CNS to assess inhaler technique using the seven step inhaler checklist from the UK inhaler group.22 These were classified into effective if all seven steps were followed correctly, poor if none were followed and partially effective if at least one to six steps were followed correctly.
A pragmatic approach was used for recruitment, based on the child’s age and inhaler type as each device fitted different inhaler types. Blinding was not possible as the devices were easily identifiable. A sample size of 30 was initially selected, 10 in each arm (Hailie and R-DOT) and 5 each in Rafi-tone and INCA, as the Rafi-tone is aimed at younger children (6–12 years)and older children were recruited for the INCA arm as good inspiratory flow is needed for the Accuhaler.
Patient and public involvement
The lay summary was formally reviewed externally by young people with asthma and their parents. Their insightful and useful suggestions were incorporated into the study design and design of information sheets and the proposed study improved as a result.
Additionally, this is largely a qualitative study and therefore the views of children and their parents/carers has been the focus of this study. The results of the study were discussed in the focus groups/interviews conducted.
Usability and acceptability: a qualitative study
Separate topic guides were used to obtain qualitative feedback on the acceptability and usability of the devices for children/parents and CNS’. A second researcher (CP) provided support in both focus group discussions to minimise bias. All discussions were audio recorded and transcribed as ‘intelligent verbatim’. The qualitative data were analysed using Braun and Clarke’s six step process for conducting thematic analysis consisting of an initial familiarisation step of reading transcripts while listening to audio recordings.23 An inductive approach was then used to code the data. Initially complete coding was conducted using participant transcripts, followed by second and third coding. Themes and sub themes were identified until thematic saturation was reached, then categorised and reviewed before writing up. Twenty five percent of the transcripts were randomly chosen and double-coded by an independent researcher (AC) experienced in qualitative research in line with other qualitative studies which recommend ~ 20%24 25 as a method of analyst triangulation.
Accuracy of NEMDs : a quantitative study
Accuracy of the NEMD was determined by the adherence data collected from the devices as percentage of doses activated, inhaled and where appropriate correct technique. Asthma control was measured by using the asthma control test (ACT)26 for children ≥12 years or childhood ACT (cACT)27 for children <12 years; quality of life was assessed using the mini Paediatric Asthma Quality of Life questionnaire (mini PAQLQ)28 29; fractional exhaled nitric oxide (FENO)30 was measured using a NIOX VERO: Aerocrine, Stockholm, Sweden; spirometry for forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC)30 31; and bronchodilator reversibility (BDR)32 33 were measured using a Vitalograph, Buckingham UK spirometer. These were conducted as part of routine clinical care assessments at the beginning and end of the monitoring period.
Results and analysis
A total of 52 patients were identified as eligible for inclusion, of whom, 35 (66% male, median age 12 years) consented to participate, and were randomised. Of these, 18 (51%) completed monitoring, 14 (78%) provided feedback, 7 (20%) were lost to follow-up, 4 (11%) experienced device failure, 4 (11%) lost their device or it was thrown away and 2 (7%) withdrew. The Consolidated Standards of Reporting Trials diagram is shown in figure 2.
The duration of monitoring for each device varied: the median number of days of Hailie monitoring was 88.5 days (range 6–120), Rafi- tone 25.5 days (range 25–26) and R-DOT 54 days (range of 8–145). The length of monitoring was longer in the R-DOT and Hailie arm as recruitment occurred earlier in the study.
Usability and acceptability: qualitative data results
Of the participants completing monitoring, 14/18 (78%) participated in the focus groups or individual interviews. Of these, four participants and their parents attended the focus group meeting, eight participants were interviewed individually face to face and two participant were interviewed over the telephone.
The duration of the patient focus group was 63 min; individual interviews were a mean 15.3 (SD ±8) min.
For the healthcare professional focus group, all of the three invited CNS attended the focus group meeting. The focus group lasted 56 min.
Four key themes influencing patient and healthcare professional engagement were identified from these focus groups and interviews:
Functionality of the device.
Usability of the device.
Perceptions and emotions.
Enhancements, improvements and preferences.
These are described below—full tables of quotes have been included in the online supplemental 1.
bmjresp-2020-000589supp001.pdf (125.8KB, pdf)
Functionality of device
Accuracy and reliability
The INCA and Hailie were considered by both patients and CNS, the most accurate and reliable followed by R-DOT as it only records adherence to video uploads.
An adolescent commented ‘I think with the Hailie, it’s quite black and white. You've either done it properly or you haven't’ (NEMD1).
Another adolescent using R-DOT stated: ‘I took the inhaler just not the video’(NEMD31).
Rafi-tone was considered to be less accurate, as observed by the CNS’ as the App records the sound of the Flo-tone and did not differentiate the inhaler type, ‘with the Rafi tone it’s just attached to the spacer, the inhaler that they’re using could be their preventer or it could be their reliever’ (CNS1).
Assessment of inhaler technique
Both R-DOT and Rafi-tone were perceived to help with improving technique. Although Hailie and INCA assessed technique, interventions could not be implemented until the patient returned to clinic and the data downloaded.
An adolescent reflected: ‘one good thing about the R-DOT was the technique thing, which for me was important’(NEMD1).
A child described how the Rafi-tone ‘makes me feel like I know how to do my pump more, and I can actually use it to help me out with my breathing’ (NEMD 34). A CNS commented that the Rafi-tone is ‘Good if we’ve got concerns about someone that has dysfunctional breathing’(CNS 1).
Notifications, reminder and display functions
Notifications, reminders and visual data display were reported as positive attributes of the Hailie.
An adolescent commented: ‘So, when I was using the Hailie I thought it was pretty good because when…on my phone there would pop up a notification. And then I'd take it’ (NEMD 18).
Data access and analysis
An adolescent felt that with the Hailie: ‘I just think it’s having my data there, would just help me to remember to take it more’ (NEMD 4).
Usability of device
Ease of use
Children, parents/carers and CNS’ considered the Hailie and INCA easier to use as they attached directly to the inhaler, did not affect routine and required minimal effort.21
With the Hailie an adolescent felt that ‘it’s just the easiest thing, as I said, fast mornings, just take it normally. So, yes, if you want to do the bare minimum, the Smartinhaler/Hailie is good for that’(NEMD 4).
The R-DOT often needed two people and was considered to require effort, affected routine and some adolescents felt it diminished independence and autonomy.
An adolescent commented on R-DOT ‘you can't film yourself, that’s the issue. So, mum had to film me’(NEMD1). The participant’s mum commented ‘It wasn't the fact that it took time, it was the fact that we had to coordinate’. The same adolescent commented: ’for me, when I have a set routine that I get up and straight away I have my inhaler, it doesn't work as well because then you've got to sort out a time that works for everyone’ (NEMD 1).
However, R-DOT provided physical evidence to parents/carers/healthcare providers that the medication was actually taken correctly as commented by one of the participant’s parent: ‘For me, recording, it’s better because I can see how [the participant’] doing. Sometimes [the participant] doesn't do it properly when [the participant] doesn't have time. But if I record [the participant] I can see how [the participant’s] doing it properly’ (Parent of NEMD2).
Cost-effectiveness
The cost of the device and reusability was considered by participants to be important. One CNS commented ‘The problem is that if you have a very expensive device in a disposable form, [i.e. INCA] you throw away the inhaler afterwards. You've got to be able to take it off and attach it to your next one’ (CNS1).
Independence
Independence and autonomy were considered by children to be valuable with one adolescent in the INCA arm stating: ‘my mum and dad can be there to say to take it but at the end of the day they can't force me to take it. I have to take that step. So, I think by getting rid of them telling me to take it and me just remembering myself or be reminded would really help me to take the step forward and actually benefitting from the medicine’ (NEMD5).
This was reflected also in the CNS’ perspectives: ‘obviously if you’re like 14, 15, 16 years they don’t want their mum or dad kind of looking over them making sure they’re going to do it’(CNS1)
Perceptions and emotions
Big brother effect
One parent in R-DOT arm felt that monitoring was to keep an eye on them ‘To fault parents to see if they are doing it wrong because I personally think that’s what it is, to say, yeah, you are not doing this right’ (parent of NEMD 32).
Emotions
Emotions such as embarrassment due to personal or domestic appearance were expressed by some participants using R-DOT. A child said ‘I don’t feel I look nice, and I don’t want to be videoed. Sometimes, oh my hair is not right. And then I think in my head, oh, it doesn’t matter they know that sometimes in the morning having like crazy hair’ (NEMD 32).
A parent using R-DOT felt ‘so you're sitting there thinking I've got to get a headshot because [the participant’s] not dressed. It’s things like that. And [the participant’s] room’s a tip and you're thinking oh crikey’ (NEMD 1).
Changes in behaviours
Some participants reported that monitoring per se led to behaviour change as described by this adolescent using Hailie: ’When I'm taking my inhaler sometimes, I realize that I’m being monitored. So that gives me a little boost and just try and do it properly. Because I remember oh, they're monitoring me, so I want to get good results. I think that’s why I do it’ (NEMD 10).
Improvement and personal preferences
Expression of personal preferences
In the focus group, most had previously been monitored using an EMD (Smartinhaler). The Hailie was felt to have many positive attributes as it had the ability to show adherence data in visual format such as bar charts, required little additional effort and time, provided instant feedback on percentage adherence in clinic and was able to monitor activation, inhalation and correct orientation of the device.
‘I think the Halie is a better choice because if it’s programmed and you know you’ve got to take it, and if you’ve forgotten it, it will remind you’ (NEMD 18).
‘You can get a lot of data from a single device, you can see kind of patterns of when they’ve done it with the Hailie’(CNS1).
Recommendations on improvements
In terms of suggestions for improvements, participants wanted to see their own adherence data on their phone to act as a reminder. Others wanted instant feedback on their technique especially when they are unwell.
‘Like seeing what I’ve visually taken, would just help me to remember to take more, because then when you’re feeling bad at the end of the week you look back and you think actually, I forgot’ (NEMD18).
One adolescent compared the Hailie with a previous EMD ‘So that’s very useful. Because previously with a Smartinhaler we had no idea what the data was you were getting, or this data and we didn't know what was happening day-to-day. So, to get that feedback instantly… is useful’(NEMD1).
Concept of personalised adherence monitoring
Being able to personalise the NEMD according to the needs of the patient was discussed as important, as reflected in the quote from one of the CNS:
‘I think probably depending on the patient…for parents who kind of want to distract them into taking their inhaler they would probably like the Rafi-tone, then for those who are independent, are getting a bit older, the Hailie is the way forward depending on age, then those with inhaler technique issues R-DOT, biggest thing is what would work’ (CNS1).
Accuracy and impact on asthma outcomes: quantitative data results
The median (range) adherence for R-DOT was 72% (51%–94%) for Hailie 65% (50%–100%) and for Rafi-tone 87% (82%–92%) Insufficient INCA devices were returned to calculate adherence.
Comparison of type of adherence data collected from the Hailie can be seen below (table 1).
Table 1.
Patient ID | Activation (%) | Activation and inhalation (%) |
Activation, inhalation and correct orientation (%) |
NEMD4 | 63 | 58 | 24 |
NEMD8 | 73 | 52 | 5 |
NEMD18 | 50 | 50 | 25 |
NEMD11 | 52 | 50 | 22 |
NEMD12 | 100 | 72 | 25 |
NEMD10 | 53 | 30 | 28 |
Mean (SD) | 65 (19) | 52 (13) | 22 (8) |
NEMD, novel electronic monitoring device.
The median (range) adherence to video uploads with the R-DOT was 73% (64%–94%) based on duration of R-DOT usage (table 2). There was no intervention during the monitoring period.
Table 2.
Patient ID | Duration of monitoring (weeks) | No of days R-DOT usage | No of videos uploaded | No of days missed at least one video upload | % adherence to video uploads based on duration of usage |
NEMD1 | 11 weeks | 76 | 106 | 40 | 70 |
NEMD2 | 10 weeks | 70 | 105 | 32 | 75 |
NEMD11 | 36 weeks | 84 | 158 | 10 | 94 |
NEMD14 | 21 weeks | 84 | 70 | 16 | 83 |
NEMD15 | 1 weeks | 8 | 6 | 2 | 75 |
NEMD16 | 2 weeks | 13 | 18 | 7 | 64 |
NEMD31 | 33 weeks | 84 | 55 | 46 | 66 |
NEMD32 | 5 weeks | 35 | 46 | 19 | 66 |
NEMD, novel electronic monitoring device; R-DOT, remote directly observed therapy.
Inhaler technique was assessed to be effective (>80%) in 3/8 children and partially effective in 5/8 with only one occurrence of poor technique (table 3).
Table 3.
Patient ID | Week 1 |
Week 2 |
Week 3 |
Week 4 |
Week 5 |
Week 6 |
Week 7 |
Week 8 |
Week 9 |
Week 10 |
Week 11 |
Week 12 |
NEMD1 | E | E | E | PaE | E | PaE | E | E | E | PaE | PaE | PaE |
NEMD2 | PaE | PaE | PaE | PaE | PaE | PaE | PaE | PaE | PaE | PaE | NR | NR |
NEMD11 | E | PaE | E | PaE | E | E | E | E | E | E | E | E |
NEMD14 | PaE | PaE | P | PaE | PaE | PaE | PaE | PaE | PaE | PaE | PaE | PaE |
NEMD15 | E | E | NR | NR | NR | NR | NR | NR | NR | NR | NR | NR |
NEMD16 | E | E | NR | NR | NR | NR | NR | NR | NR | NR | NR | NR |
NEMD31 | PaE | PaE | PaE | PaE | PaE | PaE | PaE | PaE | PaE | PaE | PaE | PaE |
NEMD32 | PaE | PaE | PaE | PaE | PaE | NR | NR | NR | NR | NR | NR | NR |
CNS, clinical nurse specialist; E, effective; NEMD, novel electronic monitoring device; NR, no recording; P, poor; PaE, partially effective; UKIG, UK Inhaler Group.
Impact on asthma control
Baseline and follow-up scores for ACT/cACT, m-PAQLQ, FENO, spirometry and BDR for the different groups are reported in supplementary material (online supplemental 2 and 3).
bmjresp-2020-000589supp002.pdf (102.9KB, pdf)
bmjresp-2020-000589supp003.pdf (105.7KB, pdf)
Acceptability criteria
The characteristics of each of the NEMD in terms of usability, acceptability and accuracy were amalgamated and used to devise a list of acceptability criteria by the research team and an expert panel (consisting of paediatric respiratory consultants, CNS and pharmacist) who reviewed the study results box 1.
Box 1. Acceptability criteria to assess device characteristics.
Characteristics
Accuracy
Activation of dose recorded.
Inhalation of dose recorded.
Technique assessed.
Minimal effort
Minimum amount of time.
Fits in with daily routine.
Ability to set notifications and reminders.
Allows independent monitoring.
Ability to display visual data to children/carers.
Ability to display data to healthcare professionals.
Easy data analysis.
Ability to easily upload data in clinic.
Ability to correct technique.
Reliable adherence monitoring.
Cannot be thrown away/lost.
Minimal cost of device.
Flexibility to fit all inhaler types.
Technology issues.
Discussion
This is the first study to explore the feasibility of four NEMDs for use in children with asthma using both qualitative and quantitative methods.
The key finding was that devices that use objective measures of activation, inhalation and technique which are accurate, require least effort, are easy to use and fit into existing routines of children and carers were preferred by children, their carers and healthcare professionals. Other ideal characteristics include cost-effectiveness as expressed by CNS, flexibility to set up reminders with notifications as suggested by children, and ability to provide visual display of adherence data in real time which was desired by both children and healthcare professionals.
The four platforms were chosen for this study as they use different methodologies to assess inhaler technique. Advantages and disadvantages were identified by participants for each. The Hailie and the INCA were popular with both children and CNS’ due to their ease of use and minimal additional effort required on the part of the child. The Hailie has the ability to detect adherence in real time calculating percentage adherence easily, though this function was not enabled in our study. Furthermore, it provided useful data for healthcare professionals on individual components of inhaler technique. However, both the Hailie and the INCA devices are specific to a single type of inhaler device: the Turbohaler and Accuhaler, respectively. These are both breath-actuated inhalers and require adequate inspiratory flow to use, which younger children may find difficult to generate. Of note, recruitment in the block for the INCA device was low as most children who are prescribed Seretide in our clinic use the MDI version not the Accuhaler. Unfortunately for the INCA block, no usable adherence data were obtained as the devices were thrown away or not fitted correctly. This is in contrast to the study by Sulaiman et al in adults which demonstrated the utility of the device for monitoring inhaler use and technique.19 Many of the advantages identified with the Hailie, such as ease of use, requiring no extra steps are also relevant to the INCA. At the study site, an MDI with a spacer was the most frequently used inhaler type. Unfortunately, there were no devices available at the time of the study which had the usability and functionality of the Haile and INCA, and could also be used with an MDI and spacer.
The Rafi-tone App was designed to help young children improve inhaler technique and to incentivise inhaler use via a game. This was adapted by the developer of the Clin-e-cal App for this study to record adherence. The App is aimed at younger children and therefore we limited recruitment to this block to children aged 6–11 years. Feedback from parents was positive in terms of the impact on technique. However, the current functionality of the App is limited to collecting data when the correct pitch is heard from the Flo-tone. It is not possible to know which inhaler was used, the number of puffs used or if the Flo-tone was even attached to an inhaler. This limits the utility of this platform for monitoring ICS adherence (for which it was not originally designed). Additional effort was required on the part of the parent/caregiver to ensure that the App was open at the time the inhaler was given. Nonetheless based on our study findings, an App for children which incentivises inhaler use, particularly one that rewards good technique, has the potential to be an effective intervention that merits further study and consideration.
The R-DOT platform was the only platform capable of monitoring use for all types of inhaler devices, which is particularly advantageous given the number of different inhaler types now available. It also enables technique to be assessed by a trained professional and ensures that all aspects of inhaler technique are checked. Furthermore, feedback can be given rapidly to correct technique. In our study, it was not possible to review inhaler technique in real time, due to logistical constraints and there was no intervention during the monitoring period. In a pilot study of this device, positive user feedback was reported with improvement in technique over successive weeks of monitoring and intervention.20 In contrast, some of the comments in our study from children reflected concerns about filming themselves. This was particularly the case among adolescents who were concerned about their appearance. Although this platform is excellent for information on technique it provides little definitive information on adherence. Failure to record a video does not necessarily mean that the inhaler has not been used. Parents highlighted the difficulties of fitting this in to a busy routine. It is possible that if this change in routine could be achieved in the short term, it might lead to longer-term behavioural change where correct inhaler use is embedded in the daily routine.2 CNS' felt that this was a good way to assess technique; however, reviewing the videos took time and they do not currently have the capacity to do this outside of a clinical study. Advantages with the R-DOT included the physical evidence that the dose was taken correctly enabling remote offsite monitoring of children with provision of instant feedback.
The main strength of this study is that it is the first time that the INCA, Rafi-tone and Hailie have been used as adherence monitoring tools in a real-world setting in children, and compared using both quantitative and qualitative methods.
The main limitation of this study is the small sample size which did not enable robust quantitative statistical analysis of the data. This study took place within a specialist tertiary asthma clinic and the findings may not be generalisable to the general population of children with asthma, particularly in primary care. Further evaluation of these NEMDs in a wider population is warranted. However, many of the findings are pertinent across care settings, particularly those relating to cost and impact on the workload of healthcare professionals. The acceptability criteria developed from our findings could potentially be used for testing future NEMDs.
Conclusion
There is no ‘one size fits all’ NEMD and there were advantages and disadvantages identified for all the devices tested. The choice of device needs to be tailored to the needs and preferences of the patient based on improving technique or monitoring adherence, and there is a place for personalised adherence monitoring. The data from this study can inform the development of an ideal device which combines the key functionalities of each of the platforms. Device selection needs to be versatile and compatible with all inhaler types, provide accurate adherence monitoring, require minimum additional effort on the part of the child and their carer, and be able to provide real-time visual adherence data to patients and healthcare professional, including accuracy and feedback on technique. Our study identified the factors that influence device usability and acceptability and provided early data on the accuracy of these devices. Further studies are now warranted to evaluate how these findings can be applied to interventions to improve adherence, use in virtual clinics and how using these devices influence adherence and asthma outcomes
Acknowledgments
We would like to thank all the children and families who contributed to this study; patient advisers who contributed to the study design and staff at Royal Brompton Hospital, including Pippa Hall, Sammy Ndlovu-Dawika, Laura Baynton; the expert panel consisting of Professor Sejal Saglani, Samatha Sonnappa, Steven Goldring, Alison Summerfield and Keith Thompson; Professor Andy Bush, Professor Ian Bates, Alison Innes, Natalie Orr, Charlotte Richardson, Sarah Ollosson, Vibha Teli and the Pharmacy and Paediatric Respiratory Departments.
Footnotes
Contributors: Study concept and design: LF and SM; Data acquisition: SM, AJ; Data analysis and interpretation: AC, SM and LF, Interview/focus groups CP and SM. All authors edited the manuscript and approved the final draft.
Funding: This study was funded by Asthma UK Senior Clinical Fellowship award to LF. LF is an Asthma UK Senior Clinical Fellow and a PI in the Asthma UK Centre for Applied Research. AH is a research associate in the Asthma UK Centre for Applied Research.
Competing interests: None declared.
Patient consent for publication: Not required.
Provenance and peer review: Not commissioned; externally peer reviewed.
Data availability statement: Data are available on reasonable request. All data relevant to the study are included in the article or uploaded as online supplemental information. All data are deidentified participant data. Additional information is included in online supplemental section. Study protocols, patient information and consent forms are available on request from the corresponding author. Additionally, data are also available on ClinicalTrials.gov website, Identifier: NCT04289714.
Author note: Orchid ID Louise Fleming: 0000-0002-7268-7433
Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.
References
- 1.AsthmaUK Time to take action on asthma. AsthmaUK 2014;6:3–14. [Google Scholar]
- 2.Asthma UK Uk asthma death rates among worst in Europe. AsthmaUK 2017. [Google Scholar]
- 3.Shah R, Hagell A, Cheung R. International comparisons of health and wellbeing in adolescence and early adulthood 2019;78. [Google Scholar]
- 4.Alderwick H, Dixon J. The NHS long term plan. BMJ 2019:l84 10.1136/bmj.l84 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Levy M, Andrews R, Buckingham R, et al. . Why asthma still kills: report from the National review of asthma deaths (NRAD). Healthc Qual Improv Partnersh 2014. [Google Scholar]
- 6.NICE Asthma: diagnosis, monitoring and chronic asthma management. NICE Guidel 2017. [Google Scholar]
- 7.Nieuwlaat R, Wilczynski N, Navarro T, et al. . Interventions for enhancing medication adherence. Cochrane database Syst Rev 2014;22 10.1002/14651858.CD000011.pub4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Price D, Bosnic-Anticevich S, Briggs A, et al. . Inhaler competence in asthma: common errors, barriers to use and recommended solutions. Respir Med 2013;107:37–46. 10.1016/j.rmed.2012.09.017 [DOI] [PubMed] [Google Scholar]
- 9.Pearce CJ, Fleming L. Adherence to medication in children and adolescents with asthma: methods for monitoring and intervention. Expert Rev Clin Immunol 2018;14:1055–63. 10.1080/1744666X.2018.1532290 [DOI] [PubMed] [Google Scholar]
- 10.Jochmann A, Artusio L, Jamalzadeh A, et al. . Electronic monitoring of adherence to inhaled corticosteroids: an essential tool in identifying severe asthma in children. Eur Respir J 2017;50:1700910 10.1183/13993003.00910-2017 [DOI] [PubMed] [Google Scholar]
- 11.Burgess SW, Sly PD, Morawska A, et al. . Assessing adherence and factors associated with adherence in young children with asthma. Respirology 2008;13:559–63. 10.1111/j.1440-1843.2008.01292.x [DOI] [PubMed] [Google Scholar]
- 12.Bender B, Wamboldt FS, O'Connor SL, et al. . Measurement of children's asthma medication adherence by self report, mother report, canister weight, and Doser CT. Ann Allergy Asthma Immunol 2000;85:416–21. 10.1016/s1081-1206(10)62557-4 [DOI] [PubMed] [Google Scholar]
- 13.Bender B, Wamboldt F, O’Connor SL, et al. . Measurement of children’s asthma medication adherence by self report, mother report, canister weight, and Doser CT. Ann Allergy, Asthma Immunol 2000. [DOI] [PubMed] [Google Scholar]
- 14.Chan AHY, Harrison J, Black PN, et al. . Using electronic monitoring devices to measure inhaler adherence: a practical guide for clinicians. J Allergy Clin Immunol Pract 2015;3:335–49. 10.1016/j.jaip.2015.01.024 [DOI] [PubMed] [Google Scholar]
- 15.Chan AHY, Reddel HK, Apter A, et al. . Adherence monitoring and e-health: how clinicians and researchers can use technology to promote inhaler adherence for asthma. J Allergy Clin Immunol 2013;1:446–54. 10.1016/j.jaip.2013.06.015 [DOI] [PubMed] [Google Scholar]
- 16.Chan AHY, Stewart AW, Harrison J, et al. . The effect of an electronic monitoring device with audiovisual reminder function on adherence to inhaled corticosteroids and school attendance in children with asthma: a randomised controlled trial. Lancet Respir Med 2015;3:210–9. 10.1016/S2213-2600(15)00008-9 [DOI] [PubMed] [Google Scholar]
- 17.Morton RW, Elphick HE, Rigby AS, et al. . STAAR: a randomised controlled trial of electronic adherence monitoring with reminder alarms and feedback to improve clinical outcomes for children with asthma. Thorax 2017;72:347–54. 10.1136/thoraxjnl-2015-208171 [DOI] [PubMed] [Google Scholar]
- 18.Costello RW, Sulaiman I, Cushen B, et al. . Monitored inhaler treatment to guide patient care: identifying patients with poorly controlled asthma. RDD, 2018. [Google Scholar]
- 19.Sulaiman I, MacHale E, Seheult JN, et al. . Inhaler compliance assessment in the community (IncA GP). Eur Respir J 2014. [Google Scholar]
- 20.Shields MD, ALQahtani F, Rivey MP, et al. . Mobile direct observation of therapy (MDOT) - A rapid systematic review and pilot study in children with asthma. PLoS One 2018;13:e0190031–24. 10.1371/journal.pone.0190031 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Sekhon M, Cartwright M, Francis JJ. Acceptability of healthcare interventions: an overview of reviews and development of a theoretical framework. BMC Health Serv Res 2017;17:1–13. 10.1186/s12913-017-2031-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Scullion J. Inhaler Standards and Competency Document Authors : Contributors 2016:1–12.
- 23.Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol 2006. [Google Scholar]
- 24.Guest G, MacQueen KM, Namey EE. Introduction to applied thematic analysis. Applied thematic analysis 2012;3:20. [Google Scholar]
- 25.Guest G, Namey E, Chen M. A simple method to assess and report thematic saturation in qualitative research. PLoS One 2020;15:e0232076. 10.1371/journal.pone.0232076 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Nathan RA, Sorkness CA, Kosinski M, et al. . Development of the asthma control test: a survey for assessing asthma control. J Allergy Clin Immunol 2004;113:59–65. 10.1016/j.jaci.2003.09.008 [DOI] [PubMed] [Google Scholar]
- 27.Liu AH, Zeiger R, Sorkness C, et al. . Development and cross-sectional validation of the childhood asthma control test. J Allergy Clin Immunol 2007;119:817–25. 10.1016/j.jaci.2006.12.662 [DOI] [PubMed] [Google Scholar]
- 28.Juniper EF, O'Byrne PM, Guyatt GH, et al. . Development and validation of a questionnaire to measure asthma control. Eur Respir J 1999;14:902. 10.1034/j.1399-3003.1999.14d29.x [DOI] [PubMed] [Google Scholar]
- 29.Juniper EF, Guyatt GH, Feeny DH, et al. . Measuring quality of life in children with asthma. Qual Life Res 1996. [DOI] [PubMed] [Google Scholar]
- 30.American Thoracic Society, European Respiratory Society . ATS/ERS recommendations for standardized procedures for the online and offline measurement of exhaled lower respiratory nitric oxide and nasal nitric oxide, 2005. Am J Respir Crit Care Med 2005;171:912-30. 10.1164/rccm.200406-710ST [DOI] [PubMed] [Google Scholar]
- 31.British thoracic society/SIGN BTS/SIGN guideline on the management of asthma. Scottish Intercoll Guidel Netw 2016. [Google Scholar]
- 32.Chung KF, Wenzel SE, Brozek JL, et al. . International ERS/ATS guidelines on definition, evaluation and treatment of severe asthma. Eur Respir J 2014. [DOI] [PubMed] [Google Scholar]
- 33.Phillips LA, Cohen J, Burns E, et al. . Self-management of chronic illness: the role of ‘habit’ versus reflective factors in exercise and medication adherence. J Behav Med 2016. [DOI] [PubMed] [Google Scholar]
Associated Data
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Supplementary Materials
bmjresp-2020-000589supp001.pdf (125.8KB, pdf)
bmjresp-2020-000589supp002.pdf (102.9KB, pdf)
bmjresp-2020-000589supp003.pdf (105.7KB, pdf)