RESUMEN
Introduction: Fatigue is a frequent and debilitating symptom that contributes to poor quality of life for people receiving peritoneal dialysis. Ecological momentary assessment using mobile technology (mEMA) is a novel survey technique that can collect symptom data in real-time and has not been trialed in a peritoneal dialysis cohort. The study aimed to explore real-time fluctuations and associations between fatigue, mood, and physical activity using mEMA. Methods: Adults receiving peritoneal dialysis completed fatigue and mood scales, via a mobile application (app), 5 times daily for 7 days and, concurrently wore an accelerometer. A feasibility questionnaire was completed on the eighth day. Results: Forty-eight adults completed the study. Within-day fatigue fluctuations were observed with severity lowest during mid-morning to early afternoon and peaking at bedtime. Associations between fatigue and mood were observed with a 1-unit change in mood score conferring a 5.2-unit change in fatigue (P < 0.01). Higher volume of physical activity was associated with lower fatigue and enhanced mood. Overall adherence to the app-based surveys was 73% with most participants reporting mobile phones and the mEMA app being easy to use. Conclusion: People receiving peritoneal dialysis experience within day and day-to-day fluctuations in fatigue that appear highly variable. Higher fatigue severity was associated with poorer mood and lower physical activity levels with future studies required to explore if physical activity-based interventions could be a potential strategy for the management of these symptoms. Furthermore, mEMA, and mobile phones, were feasible to capture symptom data with potential to be employed in future research or, as part of improved care.
RESUMEN
INTRODUCTION: Fatigue is a frequent and debilitating symptom for people with end-stage kidney disease (ESKD) receiving dialysis. Ecological momentary assessment (EMA) allows real-time data capture of day-to-day and diurnal variations. EMA has been used to study haemodialysis-related fatigue but not in people receiving peritoneal dialysis who are unique in their physical, environmental and logistical characteristics. The aim of this study is to explore the real-time associations between fatigue and mood (EMA mobile application) and objective physical activity levels (accelerometry) in people with EKSD receiving peritoneal dialysis. METHOD: A 7-day intensive longitudinal study will be conducted. People receiving peritoneal dialysis within South Australia will be invited to participate. Five times throughout the day, participants will be prompted to answer 18 questions relating to fatigue (Visual Analogue Scale to Evaluate Fatigue Severity) and a single question for mood (Visual Analogue Mood Scale). Participants will continuously wear a GENEActiv accelerometer to capture physical activity levels during the 7-day period. At the completion of the data collection, participants will answer questions to evaluate the feasibility and acceptability of using EMA. DISCUSSION: This study will be the first to explore the real-time relationships between fatigue, mood and physical activity in people with ESKD receiving peritoneal dialysis. Understanding the fluctuations people experience and the relationships between mood and physical activity and fatigue will inform clinical management and well-being intervention development.
