The Quality of Caregivers for the Elderly in Long-Term Care Institutions in Zhejiang Province, China

Int J Environ Res Public Health. 2019 Jun 19;16(12):2164. doi: 10.3390/ijerph16122164.

Abstract

China is facing challenges in caring for older adults. This paper aimed to understand knowledge, attitude, and practice (KAP) regarding the quality of caregivers for the elderly in long-term care institutions in Zhejiang Province, and also to find related factors to improve the quality of caregivers. A cross-sectional survey was conducted from April to June 2016 in Zhejiang Province. In total, 84 caregivers were interviewed face-to-face with questionnaires on KAP towards elderly care. Multiple linear regression was used to find the related factors to KAP. A conceptual model was made to process path analysis among KAP and influencing factors using structural equation modeling. The study found that most caregivers in Zhejiang Province were middle-aged, female, and with a diploma below middle school. Many caregivers had not received any pre-employment training. Their salary was low although they undertook high-intensity work. Education and working years had a positive effect on knowledge and practice scores, and pre-employment training had a positive effect on knowledge and attitude scores. Knowledge and attitude regarding elderly care could positively affect elderly care practices. The quality of caregivers in Zhejiang Province was at a low level compared to developed countries. Continuous and regular elderly care training should be provided for caregivers to improve their elderly care knowledge and hence the quality of elderly care.

Keywords: China; caregivers; elderly care; knowledge-attitude-practice; workforce.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Caregivers / psychology*
  • Caregivers / statistics & numerical data*
  • China
  • Cross-Sectional Studies
  • Developed Countries / statistics & numerical data
  • Female
  • Health Knowledge, Attitudes, Practice*
  • Humans
  • Linear Models
  • Long-Term Care / psychology*
  • Long-Term Care / statistics & numerical data*
  • Male
  • Middle Aged
  • Quality of Health Care / statistics & numerical data*
  • Surveys and Questionnaires