An interview study within a clinical trial that used healthcare technologies for children with asthma – insights and implications

Louisa Lawrie* (Corresponding Author), Steve Turner, Seonaidh Cotton, Jessica Wood, Heather Morgan

*Corresponding author for this work

Research output: Contribution to conferenceAbstract

Abstract

Background
Healthcare technologies are becoming more commonplace, however clinical and patient perspectives regarding the use of technology in the management of childhood asthma have received little attention. Within a clinical trial of asthma management in children, we conducted a qualitative study designed to examine the experiences and perspectives of healthcare staff and families on (i) the use of smart inhalers to monitor medication adherence and (ii) the use of algorithm generated treatment recommendations.

Methods: We interviewed trial staff (n = 15) and families (n = 6) who were involved in the trial to gauge perspectives around the use of smart inhalers to monitor adherence and the algorithm to guide clinical decision making.

Findings
Staff and families indicated that there were technical issues associated with the smart inhalers. While staff suggested that the smart inhalers were good for monitoring adherence and enabling communication regarding medication use, parents and children indicated that smart inhaler use increased motivation to adhere to medication and provided the patient (child) with a sense of responsibility for the management of their asthma. Staff were open-minded about the use of the algorithm to guide treatment recommendations, but some were not familiar with its’ use in clinical care. There were some concerns expressed regarding treatment step-down decisions generated by the algorithm, and some staff highlighted the importance of using clinical judgement. Families perceived the algorithm to be a useful technology, but indicated that they felt comforted by the clinicians’ own judgements.

Conclusion
The use of technology and individual level data within appointments was considered useful to both staff and families: closer monitoring and the educational impacts were especially highlighted. Utilising an algorithm was broadly acceptable, with caveats around clinicians using the recommendations as a guide only and wariness around extreme changes in treatment considering contextual factors not taken into account.
Original languageEnglish
Pages370
Number of pages1
DOIs
Publication statusPublished - 5 Oct 2022
EventICTMC 2022: 6th International Clinical Trials Methodology Conference - Harrogate , United Kingdom
Duration: 3 Oct 20226 Oct 2022
https://inconference.eventsair.com/ictmc-2022/

Conference

ConferenceICTMC 2022
Abbreviated titleICTMC 2022
Country/TerritoryUnited Kingdom
CityHarrogate
Period3/10/226/10/22
Internet address

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