Original InvestigationPatient and Clinician Perspectives on Electronic Patient-Reported Outcome Measures in the Management of Advanced CKD: A Qualitative Study
Section snippets
Participant Selection
Participants at the host site (UHB) were recruited and data were collected and analyzed simultaneously between August 2017 and May 2018 according to the published protocol (ethics approval [13/02/2017] ref: 17/WM/0010).16 Consenting English-speaking adult patients with stages 4 and 5 CKD (non–dialysis dependent) were purposively recruited because we hypothesized that a cohort with high symptom burden and risk for rapid progression to end-stage kidney disease would benefit most from the ePROM
Study Participants
Participant characteristics are summarized in Tables 1 and 2, and interview characteristics and information on data saturation are provided in Table 3. Focus group members were predominantly female nurses. For this reason, we invited medical doctors for interviews and targeted male doctors to minimize the potential risk for nonresponse bias and increase the diversity of our sample. Examination of the saturation data (Tables S1 and S2) throughout the study suggested that: (1) saturation was
Discussion
This study explores the views of patients and clinicians on the use of an ePROM system in the clinical management of patients with advanced CKD. Consistent with previous literature, patients welcomed the idea of completing ePROMs on a regular basis as part of their care.28 They believed that ePROMs could help clinicians manage their care more efficiently and effectively. A notable finding was the interest expressed by some patients in using ePROM data to improve their knowledge of CKD to
Article Information
Authors’ Full Names and Academic Degrees
Olalekan Lee Aiyegbusi, MBChB, Derek Kyte, PhD, Paul Cockwell, PhD, Tom Marshall, PhD, Mary Dutton, MSc, Natalie Walmsley-Allen, RN, Anita Slade, PhD, Christel McMullan, PhD, and Melanie Calvert, PhD.
Authors’ Contributions
Conceived of and designed study: OLA, MC, DK, PC, TM, MD, NW-A; moderated focus group: AS; conducted the interviews and analyzed the transcripts: OLA; reviewed the data analysis: OLA, MC, DK, PC, TM, CM. Each author contributed important intellectual content during manuscript drafting or revision
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Qualitative Research and Evaluation Methods
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Patient-Reported Outcome Measures for Patients With CKD: The Case for Patient-Reported Outcomes Measurement Information System (PROMIS) Tools
2024, American Journal of Kidney DiseasesPerspectives of Patients, Nurses, and Nephrologists About Electronic Symptom Monitoring With Feedback in Hemodialysis Care
2022, American Journal of Kidney DiseasesCitation Excerpt :The technology acceptance model is a widely applied model to describe consumers’ acceptance and behaviors in the context of health-related information technology and is an appropriate theoretical framework to evaluate acceptance and promote implementation.28 Electronic medical records with integrated alert systems could ensure rapid access to PROMs data alongside other clinical patient information to facilitate timely feedback and action by the treating team.29 For broader implementation of long-term monitoring of standardized PROMs across kidney service providers and patient groups, national kidney registries could provide a more suitable infrastructure for research and clinical care.12
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