Predicting the burden of family caregivers from their individual characteristics

Mike K. P. SO, Helina YUK, Agnes TIWARI, Sam T. Y. CHEUNG, Man Ying Amanda CHU

Research output: Contribution to journalArticlespeer-review

Abstract

This study examined the association between caregivers’ burdens and their individual characteristics and identified characteristics that are useful for predicting the level of caregiver burden. We successfully surveyed 387 family caregivers, having them complete the caregiver burden inventory scale (CBI) and an individual characteristic questionnaire. When we compared the average CBI scores between groups with a particular individual characteristic (including caring for older adult(s), educational level, employment status, place of birth, marital status, financial status, need for family support, need for friend support, and need for nonprofit organizational support), we found a significant difference in the average scores. From a logistic regression model, with burden level as the outcome, we found that caring for older adult(s), educational level, employment status, place of birth, financial situation, and need for nonprofit organizational support were significant predictors of the burden level of caregivers. The research findings suggest that certain individual characteristics can be adopted for identifying and quantifying caregivers who may have a higher level of burden. The findings are useful to uncover caregivers who may need prompt support and social care. Copyright © 2021 Informa UK Limited.
Original languageEnglish
JournalInformatics for Health and Social Care
Early online date28 Oct 2021
DOIs
Publication statusE-pub ahead of print - 28 Oct 2021

Citation

So, M. K. P., Yuk, H., Tiwari, A., Sam T. Y. Cheung, & Chu, A. M. Y. (2021). Predicting the burden of family caregivers from their individual characteristics. Informatics for Health and Social Care. Advance online publication. doi: 10.1080/17538157.2021.1988955

Keywords

  • Caregiver burden
  • Caring responsibility
  • Diagnosis
  • Informal caregiver
  • Informatics

Fingerprint

Dive into the research topics of 'Predicting the burden of family caregivers from their individual characteristics'. Together they form a unique fingerprint.