Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Apr 25, 2023
Open Peer Review Period: Apr 24, 2023 - Jun 19, 2023
Date Accepted: Feb 20, 2024
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Patient and staff experience in Remote Patient Monitoring; what to measure and how? A systematic review
ABSTRACT
Patient and staff experience are vital factors to consider in the evaluation of Remote Patient Monitoring (RPM) interventions. However, the current landscape of patient and staff experience measuring in RPM suffers from a lack of methodological standardization, affecting the quality of both primary and secondary research in this domain. In this research, we aim to obtain a comprehensive set of experience constructs and corresponding instruments used in contemporary RPM research and to propose an initial set of guidelines for improving methodological standardization in this domain. A systematic review is conducted on recent articles reporting instances of patient or staff experience measuring in the RPM domain. The obtained corpus of data is explored and structured through correspondence analysis, a multivariate statistical technique. The systematic review shows that the research landscape has seen sizeable growth in the past years, that it is affected by a relative lack of focus on the experience of staff, and that the overall corpus of collected measures can be organized into four main categories (service-system-related experience measures; care-related experience measures; usage and adherence-related experience measures; and health outcomes-related experience measures). In light of the collected findings, we provide a set of six actionable recommendations to RPM patient and staff experience evaluators, both in terms of what to measure and how to measure it. Overall, we suggest RPM researchers and practitioners develop integrated, interdisciplinary data strategies for continuous RPM evaluation.
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Copyright
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