Abstract

Patients receiving hemodialysis experience high symptom burden and low quality of life (QOL). Electronic patient-reported outcome measures (e-PROMs) monitoring with feedback to clinicians may be an acceptable intervention to improve health-related QOL for patients receiving hemodialysis. This study explored patient and clinician perspectives on e-PROMs monitoring with feedback to clinicians. Qualitative study. 41 participants (12 patients, 13 nephrologists, 16 dialysis nurses) who participated in a 6-month feasibility pilot study of adults receiving facility-based hemodialysis across 4 Australian units. The intervention consisted of electronic symptom monitoring with feedback to clinicians, who also received evidence-based symptom management recommendations to improve health-related QOL. Semistructured interviews and focus group discussions explored the feasibility and acceptability of e-PROMs monitoring with feedback to clinicians. We conducted a thematic analysis of transcripts. We identified 4 themes: enabling efficient, systematic, and multidisciplinary patient-centered care; experiencing limited data and options for symptom management; requiring familiarity with technology and processes; and identifying barriers and competing priorities. While insufficient patient engagement, logistic/technical challenges, and delayed symptom feedback emerged as barriers to implementation, active engagement by nurses in encouraging and supporting patients during survey completion and clinicians' prompt action after symptom feedback were considered to be facilitators to implementation. Limited generalizability due to inclusion of English-speaking participants only. Patients, nurses, and nephrologists considered e-PROMs monitoring with feedback to clinicians feasible for symptom management in hemodialysis. Clinician engagement, patient support, reliable technology, timely symptom feedback, and interventions to address symptom burden are likely to improve its implementation within research and clinical settings.

Full Text
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