Staff acceptability and patient usability of a self-screening kiosk for atrial fibrillation in general practice waiting rooms

McKenzie, Kirsten; Lowres, Nicole; Orchard, Jessica; Hespe, Charlotte; Freedman, Ben; Giskes, Katrina

doi:10.1016/j.cvdhj.2022.07.073

Cited by 4 publications

(6 citation statements)

References 26 publications

(63 reference statements)

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“…Older people can have difficulties using self‐screening and other self‐service health‐related technologies, reducing their uptake 14‐17 . Our qualitative evaluation found that older people were willing to attempt self‐screening, and that the need for assistance could be reduced with further refinements to the user interface 18 …”

Section: Discussionmentioning

confidence: 87%

“… 14 , 15 , 16 , 17 Our qualitative evaluation found that older people were willing to attempt self‐screening, and that the need for assistance could be reduced with further refinements to the user interface. 18 …”

Section: Discussionmentioning

confidence: 99%

“…Self‐screening can increase efficiency, save time, and reduce costs, increasing the preventive health capacity of primary care. Self‐screening is acceptable to both GPs and patients, 18 , 19 but GPs have indicated that effective integration with electronic medical records and electronic decision support regarding treatment are important. 19 Further, screening should be tailored to the health and demographic characteristics of patients and aligned with screening recommendations, such as those of the Royal Australian College of General Practitioners.…”

Section: Discussionmentioning

confidence: 99%

“…[14][15][16][17] Our qualitative evaluation found that older people were willing to attempt self-screening, and that the need for assistance could be reduced with further refinements to the user interface. 18 Moving from clinician-initiated screening to patient selfscreening is part of a broader shift to self-service health care technologies. Self-screening can increase efficiency, save time, and reduce costs, increasing the preventive health capacity of primary care.…”

Section: Characteristicmentioning

confidence: 99%

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Increasing screening for atrial fibrillation in general practice: the Atrial Fibrillation Self‐Screening , Management And guideline‐Recommended Therapy ( AF Self‐SMART ) study

Giskes

Lowres

Orchard

et al. 2022

Medical Journal of Australia

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Objective To assess whether atrial fibrillation (AF) self‐screening stations in general practice waiting rooms improve AF screening, diagnosis, and stroke risk management. Design, setting Intervention study (planned duration: twelve weeks) in six New South Wales general practices (two in rural locations, four in greater metropolitan Sydney), undertaken during 28 August 2020 – 5 August 2021. Participants People aged 65 years or more who had not previously been diagnosed with AF, and had appointments for face‐to‐face GP consultations. People with valvular AF were excluded. Intervention AF self‐screening station and software, integrated with practice electronic medical record programs, that identified and invited participation by eligible patients, and exported single‐lead electrocardiograms and automated evaluations to patients’ medical records. Main outcome measures Screening rate; incidence of newly diagnosed AF during intervention and pre‐intervention periods; prescribing of guideline‐recommended anticoagulant medications. Results Across the six participating practices, 2835 of 7849 eligible patients (36.1%) had face‐to‐face GP appointments during the intervention period, of whom 1127 completed AF self‐screening (39.8%; range by practice: 12–74%). AF was diagnosed in 49 screened patients (4.3%), 44 of whom (90%) had CHA2DS2‐VA scores of 2 or more (high stroke risk). The incidence of newly diagnosed AF during the pre‐intervention period was 11 cases per 1000 eligible patients; during the intervention period, it was 22 per 1000 eligible patients (screen‐detected: 17 per 1000 eligible patients; otherwise detected: 4.6 per 1000 eligible patients). Prescribing of oral anticoagulation therapy for people newly diagnosed with AF and high stroke risk was similar during the pre‐intervention (20 of 24, 83%) and intervention periods (46 of 54, 85%). Conclusions AF self‐screening in general practice waiting rooms is a feasible approach to increasing AF screening and diagnosis rates by reducing time barriers to screening by GPs. AF self‐screening could reduce the number of AF‐related strokes. Trial registration Australian New Zealand Clinical Trials Registry ACTRN12620000233921 (prospective).

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Section: Discussionmentioning

confidence: 87%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Characteristicmentioning

confidence: 99%

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Increasing screening for atrial fibrillation in general practice: the Atrial Fibrillation Self‐Screening , Management And guideline‐Recommended Therapy ( AF Self‐SMART ) study

Giskes

Lowres

Orchard

et al. 2022

Medical Journal of Australia

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“…Hospital resources are becoming increasingly scarce and difficult to access, primarily due to the rapidly growing elderly population [1,2]. In order to alleviate this issue, Medical Self-service Terminals (MST) have been introduced in hospitals, aiming to streamline the processes for patients [3,4]. These terminals provide more convenient services, and the elderly are one of the audience groups.…”

Section: Introductionmentioning

confidence: 99%

User Interface Characteristics Influencing Medical Self-service Terminals Behavioural Intention and Acceptance by Chinese Elderly: An Empirical Examination Based on an Extended UTAUT Model

Wu,

Huang,

Zong

2023

Preprint

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Medical Self-service Terminals (MST) offer potential for process optimization and enhanced patient convenience in hospitals, including the elderly. However, the behavioral inclination (BI) of elderly Chinese individuals towards MST adoption remains suboptimal. This study aims to elucidate BI determinants for MST among the aging demographic, focusing on User Interface (UI) attributes within the extended Unified Technology Acceptance and Use Theory (UTAUT) Model. The empirical inquiry examines seven factors, comprising three key UI attributes and four fundamental UTAUT factors. Results reveal significant positive associations of Performance Expectancy (β=0.40, p&lt;0.001), Effort Expectancy (β=0.50, p&lt;0.001), and Social Influence (β=0.25, p&lt;0.05) with BI. Notably, User Interface Design positively correlates with Performance Expectancy (β=0.89, p&lt;0.001) and Effort Expectancy (β=0.81, p&lt;0.001). These findings emphasize the interplay between objective UI attributes and subjective UTAUT determinants. This research enhances understanding of UI's impact on MST BI and acceptance, particularly within the Chinese elderly population, urging MST researchers to prioritize elderly attitudes for effective technological integration in healthcare.

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Predictors of participation in atrial fibrillation screening among community residents in China

Gu¹,

Huang²,

Qiao³

et al. 2023

Heart & Lung

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Staff acceptability and patient usability of a self-screening kiosk for atrial fibrillation in general practice waiting rooms

Cited by 4 publications

References 26 publications

Increasing screening for atrial fibrillation in general practice: the Atrial Fibrillation Self‐Screening , Management And guideline‐Recommended Therapy ( AF Self‐SMART ) study

Increasing screening for atrial fibrillation in general practice: the Atrial Fibrillation Self‐Screening , Management And guideline‐Recommended Therapy ( AF Self‐SMART ) study

User Interface Characteristics Influencing Medical Self-service Terminals Behavioural Intention and Acceptance by Chinese Elderly: An Empirical Examination Based on an Extended UTAUT Model

Predictors of participation in atrial fibrillation screening among community residents in China

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