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Usability of an Automated System for Real-Time Monitoring of Shared Decision-Making for Surgery:Mixed Methods Evaluation

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Τίτλος: Usability of an Automated System for Real-Time Monitoring of Shared Decision-Making for Surgery:Mixed Methods Evaluation
Συγγραφείς: Hoffmann, Christin, Avery, Kerry, Macefield, Rhiannon, Dvořák, Tadeáš, Snelgrove, Val, Blazeby, Jane, Hopkins, Della, Hickey, Shireen, Gibbison, Ben, Rooshenas, Leila, Williams, Adam, Aning, Jonathan, Bekker, Hilary L, McNair, Angus Gk
Πηγή: Hoffmann, C, Avery, K, Macefield, R, Dvořák, T, Snelgrove, V, Blazeby, J, Hopkins, D, Hickey, S, Gibbison, B, Rooshenas, L, Williams, A, Aning, J, Bekker, H L, McNair, A G & ALPACA Study Team 2024, 'Usability of an Automated System for Real-Time Monitoring of Shared Decision-Making for Surgery : Mixed Methods Evaluation', JMIR Human Factors, vol. 11, e46698. https://doi.org/10.2196/46698
Έτος έκδοσης: 2024
Συλλογή: Aarhus University: Research
Θεματικοί όροι: Adult, Humans, Research Design, Benchmarking, Books, Health Policy, Internet, Surgery, Shared decision-making, Mixed methods, Real-time measurement, Patient-reported measure, Electronic data collection, Usability, Data collection, Patient reported, Satisfaction, Mobile phone, patient participation
Περιγραφή: Background: Improving shared decision-making (SDM) for patients has become a health policy priority in many countries. Achieving high-quality SDM is particularly important for approximately 313 million surgical treatment decisions patients make globally every year. Large-scale monitoring of surgical patients’ experience of SDM in real time is needed to identify the failings of SDM before surgery is performed. We developed a novel approach to automating real-time data collection using an electronic measurement system to address this. Examining usability will facilitate its optimization and wider implementation to inform interventions aimed at improving SDM. Objective: This study examined the usability of an electronic real-time measurement system to monitor surgical patients’ experience of SDM. We aimed to evaluate the metrics and indicators relevant to system effectiveness, system efficiency, and user satisfaction. Methods: We performed a mixed methods usability evaluation using multiple participant cohorts. The measurement system was implemented in a large UK hospital to measure patients’ experience of SDM electronically before surgery using 2 validated measures (CollaboRATE and SDM-Q-9). Quantitative data (collected between April 1 and December 31, 2021) provided measurement system metrics to assess system effectiveness and efficiency. We included adult patients booked for urgent and elective surgery across 7 specialties and excluded patients without the capacity to consent for medical procedures, those without access to an internet-enabled device, and those undergoing emergency or endoscopic procedures. Additional groups of service users (group 1: public members who had not engaged with the system; group 2: a subset of patients who completed the measurement system) completed user-testing sessions and semistructured interviews to assess system effectiveness and user satisfaction. We conducted quantitative data analysis using descriptive statistics and calculated the task completion rate and survey response ...
Τύπος εγγράφου: article in journal/newspaper
Γλώσσα: English
ISSN: 2292-9495
Relation: info:eu-repo/semantics/altIdentifier/pmid/38598276; info:eu-repo/semantics/altIdentifier/eissn/2292-9495
DOI: 10.2196/46698
Διαθεσιμότητα: https://pure.au.dk/portal/en/publications/120173ea-bdb5-48bd-aef7-c183ada2177b
https://doi.org/10.2196/46698
https://www.scopus.com/pages/publications/85191336477
Rights: info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/
Αριθμός Καταχώρησης: edsbas.B988A799
Βάση Δεδομένων: BASE
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  Data: Background: Improving shared decision-making (SDM) for patients has become a health policy priority in many countries. Achieving high-quality SDM is particularly important for approximately 313 million surgical treatment decisions patients make globally every year. Large-scale monitoring of surgical patients’ experience of SDM in real time is needed to identify the failings of SDM before surgery is performed. We developed a novel approach to automating real-time data collection using an electronic measurement system to address this. Examining usability will facilitate its optimization and wider implementation to inform interventions aimed at improving SDM. Objective: This study examined the usability of an electronic real-time measurement system to monitor surgical patients’ experience of SDM. We aimed to evaluate the metrics and indicators relevant to system effectiveness, system efficiency, and user satisfaction. Methods: We performed a mixed methods usability evaluation using multiple participant cohorts. The measurement system was implemented in a large UK hospital to measure patients’ experience of SDM electronically before surgery using 2 validated measures (CollaboRATE and SDM-Q-9). Quantitative data (collected between April 1 and December 31, 2021) provided measurement system metrics to assess system effectiveness and efficiency. We included adult patients booked for urgent and elective surgery across 7 specialties and excluded patients without the capacity to consent for medical procedures, those without access to an internet-enabled device, and those undergoing emergency or endoscopic procedures. Additional groups of service users (group 1: public members who had not engaged with the system; group 2: a subset of patients who completed the measurement system) completed user-testing sessions and semistructured interviews to assess system effectiveness and user satisfaction. We conducted quantitative data analysis using descriptive statistics and calculated the task completion rate and survey response ...
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