Silent strain of caregiving: exploring the best predictors of distress in family carers of geriatric patients

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...

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Autores principales:	Bień-Barkowska K, Doroszkiewicz H, Bień B
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2017
Materias:	egative impact of care caregiver burden comprehensive geriatric assessment Timed Up and Go test Geriatrics RC952-954.6
Acceso en línea:	https://doaj.org/article/ca1679dde444490fb2d009751ea0bc93
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spelling	oai:doaj.org-article:ca1679dde444490fb2d009751ea0bc932021-12-02T02:12:25ZSilent strain of caregiving: exploring the best predictors of distress in family carers of geriatric patients1178-1998https://doaj.org/article/ca1679dde444490fb2d009751ea0bc932017-02-01T00:00:00Zhttps://www.dovepress.com/silent-strain-of-caregiving-exploring-the-best-predictors-of-distress--peer-reviewed-article-CIAhttps://doaj.org/toc/1178-1998Katarzyna 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 testBień-Barkowska KDoroszkiewicz HBień BDove Medical Pressarticleegative impact of carecaregiver burdencomprehensive geriatric assessmentTimed Up and Go testGeriatricsRC952-954.6ENClinical Interventions in Aging, Vol Volume 12, Pp 263-274 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	egative impact of care caregiver burden comprehensive geriatric assessment Timed Up and Go test Geriatrics RC952-954.6
spellingShingle	egative impact of care caregiver burden comprehensive geriatric assessment Timed Up and Go test Geriatrics RC952-954.6 Bień-Barkowska K Doroszkiewicz H Bień B Silent strain of caregiving: exploring the best predictors of distress in family carers of geriatric patients
description	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
format	article
author	Bień-Barkowska K Doroszkiewicz H Bień B
author_facet	Bień-Barkowska K Doroszkiewicz H Bień B
author_sort	Bień-Barkowska K
title	Silent strain of caregiving: exploring the best predictors of distress in family carers of geriatric patients
title_short	Silent strain of caregiving: exploring the best predictors of distress in family carers of geriatric patients
title_full	Silent strain of caregiving: exploring the best predictors of distress in family carers of geriatric patients
title_fullStr	Silent strain of caregiving: exploring the best predictors of distress in family carers of geriatric patients
title_full_unstemmed	Silent strain of caregiving: exploring the best predictors of distress in family carers of geriatric patients
title_sort	silent strain of caregiving: exploring the best predictors of distress in family carers of geriatric patients
publisher	Dove Medical Press
publishDate	2017
url	https://doaj.org/article/ca1679dde444490fb2d009751ea0bc93
work_keys_str_mv	AT bienbarkowskak silentstrainofcaregivingexploringthebestpredictorsofdistressinfamilycarersofgeriatricpatients AT doroszkiewiczh silentstrainofcaregivingexploringthebestpredictorsofdistressinfamilycarersofgeriatricpatients AT bienb silentstrainofcaregivingexploringthebestpredictorsofdistressinfamilycarersofgeriatricpatients
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Silent strain of caregiving: exploring the best predictors of distress in family carers of geriatric patients

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