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Fatigue in Advanced Cancer Patients: Congruence Between Patients and Their Informal Caregivers About Patients' Fatigue Severity During Cancer Treatment With Palliative Intent and Predictors of Agreement.

Authors :
Poort, Hanneke
Peters, Marlies E.W.J.
Gielissen, Marieke F.M.
Verhagen, Constans A.H.H.V.M.
Bleijenberg, Gijs
van der Graaf, Winette T.A.
Wearden, Alison J.
Knoop, Hans
Source :
Journal of Pain & Symptom Management. Sep2016, Vol. 52 Issue 3, p336-344. 9p.
Publication Year :
2016

Abstract

<bold>Context: </bold>Informal caregivers (ICs) are increasingly involved in the monitoring of symptoms during advanced cancer patients' treatment with palliative intent. A common but subjective symptom during this extended treatment phase is fatigue.<bold>Objectives: </bold>This exploratory longitudinal study aimed to determine agreement between patients and ICs about patients' fatigue severity. In addition, predictors of agreement over time were studied.<bold>Methods: </bold>A sample of 107 patients with advanced cancer (life expectancy ≥ six months) and their ICs completed the subscale fatigue severity of the Checklist Individual Strength based on the patient's status at baseline and six months later. This eight-item subscale has a validated cutoff to determine the presence of clinically relevant levels of fatigue. ICs' own fatigue severity, strain, self-esteem, and relationship satisfaction were examined as predictors of agreement.<bold>Results: </bold>A total of 107 dyads completed measures at baseline and 69 dyads six months later. At baseline, ICs' significantly overestimated patients' fatigue severity (P < 0.001) with a moderate amount of bias (Cohen's d = 0.48). In 81 of the 107 dyads (76%), there was congruence about the presence or absence of severe fatigue. On a group level, congruence did not significantly change over time. On a dyad level, there was a tendency to either remain congruent or reach congruence. Next to baseline congruence, ICs' fatigue severity and strain predicted ICs' fatigue ratings (R(2) = 0.22).<bold>Conclusion: </bold>Most ICs accurately predict presence or absence of clinically relevant levels of patients' fatigue. ICs' own fatigue severity and strain should be taken into account as they influence agreement. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08853924
Volume :
52
Issue :
3
Database :
Academic Search Index
Journal :
Journal of Pain & Symptom Management
Publication Type :
Academic Journal
Accession number :
118026327
Full Text :
https://doi.org/10.1016/j.jpainsymman.2016.02.017