Evaluating the use of the mobile electrocardiogram technology KardiaMobile™ in community settings: An online survey

Author:

Emmett Aimee12ORCID,Kent Bridie13,James Alison1,March‐McDonald Jane1

Affiliation:

1. University of Plymouth Faculty of Health and Human Sciences, Plymouth University Plymouth UK

2. Cornwall Partnership NHS Foundation Trust Bodmin UK

3. The University of Plymouth Centre for Innovations in Health and Social Care: A JBI Centre of Excellence Plymouth UK

Abstract

AbstractBackgroundIn response to issues identified by community healthcare professionals (HCPs), including difficulty in routinely recording electrocardiograms (ECGs) at the time of their assessments with the population of patients referred to as ‘housebound’, one National Health Service (NHS) Trust adopted the mobile ECG technology; KardiaMobile™, supported by the Academic Health and Science Network (AHSN), in 2017–2018. The use and uptake of this technology were evaluated and are reported in this paper.MethodsA cross‐sectional, mixed‐methods online survey was conducted from August 2021 to October 2021. The respondents were a convenience sample of HCPs using KardiaMobile™ to detect atrial fibrillation (AF) with their patients; all were employed by one, predominantly rural NHS trust. Descriptive methods were used to analyse the quantitative data, whilst a reflexive approach to thematic analysis was chosen to analyse the qualitative data (Braun & Clarke, 2019, Qualitative Research in Sport, Exercise and Health, 11, 589).ResultsA total of 33 surveys were completed, with a response rate of 8.8%. All respondents recognised the potential value of KardiaMobile™ for their work. Nineteen respondents (57.6%) reported having a shared understanding of the purpose of KardiaMobile™. Nineteen respondents (57.6%) agreed sufficient training and resources are provided to enable staff to implement KardiaMobile™. Qualitative data analysis found four overarching themes, with six sub‐themes.ConclusionKardiaMobile™ is a feasible means to detect AF in higher‐risk patients, particularly those living remotely or classed as ‘housebound’. Respondents in this survey indicated a desire for further training and input on the appropriate use of digital and mobile devices for AF care in a community setting. Incomplete integration of device‐collected heart rhythm data into the patient electronic health record was identified as a barrier to greater adoption of digital health devices for community HCPs.No Patient or Public ContributionNot required as it is a service evaluation from the perspective of HCPs using KardiaMobile™ technology.

Publisher

Wiley

Reference29 articles.

1. AHSN. (2018).Atrial fibrillation: Detect protect perfect. Retrieved fromhttps://www.ahsnnetwork.com/about‐academic‐health‐science‐networks/national‐programmes‐priorities/atrial‐fibrillation

2. Reflecting on reflexive thematic analysis

3. One size fits all? What counts as quality practice in (reflexive) thematic analysis?

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