Trust Initiated Project: District-based Caregiver Support Units Project

Trust Initiated Project: District-based Caregiver Support Units Project
Project ID: 2425Soc1013
Research Mentor: Dr. Vivian Weiqun Lou, Sau Po Centre on Ageing/Department of Social Work & Social Administration, The University of Hong Kong
Contact Person: Dr. Vivian Weiqun Lou, Sau Po Centre on Ageing/Department of Social Work & Social Administration, The University of Hong Kong

This project aims to develop a screening-guided multi-component intervention programme in district-based caregiver support units in Hong Kong, with the primary aim of facilitating responsive and effective risk screening and service matching to support caregivers of older adults. The four specific objectives are: 1) to conduct surveys for developing and validating a multi-dimension risk screening tool that can be self-administered by caregivers; 2) to examine the effectiveness of adapted evidence-based interventions with randomised controlled trials and a design-based natural experiment; 3) to establish a multi-component caregiver support service delivery model and test its effectiveness and costeffectiveness; and 4) to evaluate the process of implementation of the screening-guided multi-component intervention using logic model. Multiple sources of quantitative and qualitative data will be collected at different stages with different groups of stakeholders to evaluate the process, and short-term, mediumterm and long-term outcomes of this project.

Essential skills:

  • a highly motivated team player
  • passionate about enhancing the well-being of caregivers and older adults
  • relevant experiences in social sciences research and gerontology subject, including coursework, volunteer work, student helper/summer intern, etc
  • a good command of written and spoken English
  • proficiency in MS Office applications (including Word, Excel, PowerPoint etc.)
  • good interpersonal and organizational skills

Preferred skills (but not a must):

  • good command of written and spoken Chinese (fluency in Cantonese would be an advantage)
  • basic knowledge of statistical software (e.g., SPSS, R, Stata) and design software (e.g., Adobe Illustrator, Adobe InDesign, Canva)
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