2023
DOI: 10.1136/bmjopen-2022-070927
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Global use of electronic patient-reported outcome systems in nephrology: a mixed methods study

Abstract: ObjectivesThe use of electronic patient-reported outcome (ePRO) systems to support the management of patients with chronic kidney disease is increasing. This mixed-methods study aimed to comprehensively identify existing and developing ePRO systems, used in nephrology settings globally, ascertaining key characteristics and factors for successful implementation.Study designePRO systems and developers were identified through a scoping review of the literature and contact with field experts. Developers were invit… Show more

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Cited by 2 publications
(1 citation statement)
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“…Perry et al describe a framework for including patients in the co-design and implementation of patient-reported outcome dashboards in CKD and cancer clinical settings [28]. These same principles as applied to electronic patient reported outcomes [28,29] could be applied to risk prediction interfaces in patientfacing clinical kidney care. Further, researchers working in this area should ensure that implementation approaches meet the needs of marginalized people with CKD and do not contribute to further inequity (e.g., only being available to those who are digitally literate or have access to costly devices).…”
Section: Involving Patients In the Co-design Of Risk Prediction Model...mentioning
confidence: 99%
“…Perry et al describe a framework for including patients in the co-design and implementation of patient-reported outcome dashboards in CKD and cancer clinical settings [28]. These same principles as applied to electronic patient reported outcomes [28,29] could be applied to risk prediction interfaces in patientfacing clinical kidney care. Further, researchers working in this area should ensure that implementation approaches meet the needs of marginalized people with CKD and do not contribute to further inequity (e.g., only being available to those who are digitally literate or have access to costly devices).…”
Section: Involving Patients In the Co-design Of Risk Prediction Model...mentioning
confidence: 99%