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Aim: To determine the patient-reported outcome measures used to measure fatigue in CKD prior to dialysis.
Background: Fatigue is a burdensome and debilitating symptom for patients with chronic kidney disease (CKD). Despite this, the validity and appropriateness of available measures used to assess fatigue are uncertain. The aim of this study was to identify characteristics, psychometric properties, and content of existing measures for fatigue used in patients with CKD.
Methods: We searched MEDLINE, Embase, PsycINFO, and CINAHL from inception to February 2023 for all observational studies and randomised control trials in which patients with CKD reported fatigue using a patient-reported outcome measure (PROM). The characteristics, psychometric properties of these measures, and dimensions of fatigue were extracted and analysed.
Results: We identified 97 studies reporting fatigue in patients that used 29 different measures that capture some aspect of fatigue. There were six measures that were designed specifically for CKD and three author developed measures. The validity subscale of 36-Item Short Form Health Survey (SF-36) and Kidney Disease Quality of Life – Short Form (KDQOL-SF) were the most frequently used measures [43 and 24 studies, respectively]. There were various content measured assessed including tiredness, level of energy, motivation, negative emotion, and life participation.
Conclusion: Despite fatigue being a critically important outcome and the large number of studies that have measured fatigue in people with CKD, there is a high degree of inconsistency in the PROMs used across studies with limited developed specifically for CKD. Importantly none have been shown to provide an appropriately valid measure of fatigue. A validated, standardised, psychometrically robust measure for fatigue in CKD is therefore needed. This will enable patient relevant assessments of fatigue that can detect changes that are meaningful to patients in the evaluation of interventions aimed at improving outcomes for people with CKD. This abstract was also presented at ANZSN ASM 2023.