Silent strain of caregiving: exploring the best predictors of distress in family carers of geriatric patients
Authors Bień-Barkowska K, Doroszkiewicz H, Bień B
Received 25 October 2016
Accepted for publication 3 December 2016
Published 2 February 2017 Volume 2017:12 Pages 263—274
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Amy Norman
Peer reviewer comments 2
Editor who approved publication: Dr Richard Walker
Katarzyna Bień-Barkowska,1 Halina Doroszkiewicz,2 Barbara Bień2
1Institute of Econometrics, Warsaw School of Economics, Warsaw, 2Department of Geriatrics, Medical University of Bialystok, Bialystok, Poland
Objectives: The aim of this article was to identify the best predictors of distress suffered by family carers (FCs) of geriatric patients.
Methods: A cross-sectional study of 100 FC-geriatric patient dyads was conducted. The negative impact of care (NIoC) subscale of the COPE index was dichotomized to identify lower stress (score of ≤15 on the scale) and higher stress (score of ≥16 on the scale) exerted on FCs by the process of providing care. The set of explanatory variables comprised a wide range of sociodemographic and care-related attributes, including patient-related results from comprehensive geriatric assessments and disease profiles. The best combination of explanatory variables that provided the highest predictive power for distress among FCs in the multiple logistic regression (LR) model was determined according to statistical information criteria. The statistical robustness of the observed relationships and the discriminative power of the model were verified with the cross-validation method.
Results: The mean age of FCs was 57.2 (±10.6) years, whereas that of geriatric patients was 81.7 (±6.4) years. Despite the broad initial set of potential explanatory variables, only five predictors were jointly selected for the best statistical model. A higher level of distress was independently predicted by lower self-evaluation of health; worse self-appraisal of coping well as a caregiver; lower sense of general support; more hours of care per week; and the motor retardation of the cared-for person measured with the speed of the Timed Up and Go (TUG) test.
Conclusion: Worse performance on the TUG test was only the patient-related predictor of distress among the variables examined as contributors to the higher NIoC. Enhancing the mobility of geriatric patients through suitably tailored kinesitherapeutic methods during their hospital stay may mitigate the burden endured by FCs.
Keywords: negative impact of care, caregiver burden, comprehensive geriatric assessment, Timed Up and Go test
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