Lawton, SA, Mallen, CD, Muller, SN, Wathall, S and Helliwell, T (2023) Investigating the usefulness of Automated Check-in Data Collection in general practice (AC DC Study): a multicentre, cross-sectional study in England. BMJ Open, 13 (1). e062389 - ?. ISSN 2044-6055

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OBJECTIVES: To investigate the usefulness of using automated appointment check-in screens to collect brief research data from patients, prior to their general practice consultation. DESIGN: A descriptive, cross-sectional study. SETTING: Nine general practices in the West Midlands, UK. Recruitment commenced in Autumn 2018 and was concluded by 31 March 2019. PARTICIPANTS: All patients aged 18 years and above, self-completing an automated check-in screen prior to their general practice consultation, were invited to participate during a 3-week recruitment period. PRIMARY AND SECONDARY OUTCOME MEASURES: The response rate to the use of the automated check-in screen as a research data collection tool was the primary outcome measure. Secondary outcomes included responses to the two research questions and an assessment of impact of check-in completion on general practice operationalisation RESULTS: Over 85% (n=9274) of patients self-completing an automated check-in screen participated in the Automated Check-in Data Collection Study (61.0% (n=5653) women, mean age 55.1 years (range 18-98 years, SD=18.5)). 96.2% (n=8922) of participants answered a 'clinical' research question, reporting the degree of bodily pain experienced during the past 4 weeks: 32.9% (n=2937) experienced no pain, 28.1% (n=2507) very mild or mild pain and 39.0% (n=3478) moderate, severe or very severe pain. 89.3% (n=8285) of participants answered a 'non-clinical' research question on contact regarding future research studies: 46.9% (n=3889) of participants responded 'Yes, I'd be happy for you to contact me about research of relevance to me'. CONCLUSIONS: Using automated check-in facilities to integrate research into routine general practice is a potentially useful way to collect brief research data from patients. With the COVID-19 pandemic initiating an extensive digital transformation in society, now is an ideal time to build on these opportunities and investigate alternative, innovative ways to collect research data. TRIAL REGISTRATION NUMBER: ISRCTN82531292.

Item Type: Article
Additional Information: This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:
Uncontrolled Keywords: Humans, Female, Adolescent, Young Adult, Adult, Middle Aged, Aged, Aged, 80 and over, Cross-Sectional Studies, Pandemics, COVID-19, England, General Practice, Data Collection, Health informatics, PRIMARY CARE, PUBLIC HEALTH
Subjects: R Medicine > R Medicine (General)
R Medicine > R Medicine (General) > R735 Medical education. Medical schools. Research
R Medicine > RA Public aspects of medicine
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
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Depositing User: Symplectic
Date Deposited: 12 Jan 2023 14:31
Last Modified: 12 Jan 2023 14:31

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