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Sociocultural Factors Influence on Burden and Stress of Caregivers of Children with Epilepsy

Published online by Cambridge University Press:  24 May 2024

Katharina Schiller
Affiliation:
Montreal Neurological Institute, McGill University, Montreal, QC, Canada
Christelle Dassi
Affiliation:
Child Health and Human Development Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
Saoussen Berrahmoune
Affiliation:
Child Health and Human Development Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
Birgit Frauscher
Affiliation:
Department of Neurology, Duke University School of Medicine, Durham, NC, USA
Kenneth A. Myers*
Affiliation:
Child Health and Human Development Program, Research Institute of the McGill University Health Centre, Montreal, QC, Canada Division of Neurology, Department of Pediatrics, Montreal Children’s Hospital, McGill University Health Centre, Montreal, QC, Canada Department of Neurology and Neurosurgery, Montreal Children’s Hospital, McGill University Health Centre, Montreal, QC, Canada
*
Corresponding author: K. A. Myers; Email: kenneth.myers@mcgill.ca
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Abstract:

We evaluated stress and burden in epilepsy patient caregivers in a pediatric neurology clinic. Caregivers of 102 children with epilepsy completed the Caregivers’ Assessment of Difficulty Index and a questionnaire regarding caregiver sociocultural characteristics. A multiple linear regression statistical analysis found that caregiver burden was significantly increased for those who had a second child with a chronic disease, sole caregivers and for those with children with drug-resistant epilepsy. Caregiver stress was significantly increased for caregivers with a native language other than English or French, caregivers who had a second child with a chronic disease and sole caregivers.

Résumé :

RÉSUMÉ :

L’influence de facteurs socioculturels sur le poids et le stress que supportent les aidants et aidantes d’enfants atteints d’épilepsie.

Une évaluation du poids et du stress que supportent les aidants et aidantes de patients atteints d’épilepsie a été réalisée dans une clinique de neurologie pédiatrique. Les aidants de 102 enfants atteints d’épilepsie ont rempli l’outil d’évaluation Caregivers’ Assessment of Difficulty Index et répondu à un questionnaire portant sur leurs caractéristiques socioculturelles. D’après une analyse statistique de régression linéaire multiple, le poids de la maladie chez les aidants et aidantes était passablement plus lourd chez ceux qui avaient un autre enfant atteint d’une maladie chronique, qui étaient seuls aidants ou encore dont l’enfant souffrait d’épilepsie réfractaire au traitement médicamenteux. Par ailleurs, le stress était sensiblement accru chez les aidants dont la langue maternelle n’était ni le français ni l’anglais, chez ceux qui avaient un autre enfant atteint d’une maladie chronique et chez les seuls aidants.

Information

Type
Brief Communication
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Canadian Neurological Sciences Federation
Figure 0

Figure 1. Flowchart of patient recruitment and inclusion.

Figure 1

Table 1. Demographics and characteristics of patients and caregivers

Figure 2

Figure 2. Boxplots showing the relationship of caregiver burden to (a) native language, (b) number of children with chronic disease, (c) sole caregiver status and (d) drug-resistant epilepsy.

Figure 3

Figure 3. Boxplots showing the relationship of caregiver stress to (a) native language, (b) number of children with chronic disease, (c) sole caregiver status and (d) drug-resistant epilepsy.

Figure 4

Table 2. Results of univariate analysis

Figure 5

Table 3. Results of multiple linear regression analysis