Trust Initiated Project: District-based Caregiver Support Units Project

Trust Initiated Project: District-based Caregiver Support Units Project
Project ID: 2324Soc1004
Research Mentor: Professor Vivian Weiqun LOU
Contact Person: Professor Vivian Weiqun LOU

Project Summary:

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:

  • to conduct surveys for developing and validating a multi-dimension risk screening tool that can be self-administered by caregivers;
  • to examine the effectiveness of adapted evidence-based interventions with randomised controlled trials and a design-based natural experiment;
  • to establish a multi-component caregiver support service delivery model and test its effectiveness and cost-effectiveness; and
  • 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, medium-term and long-term outcomes of this project.

Deliverables:

a literature review or a data analysis report

Preferred discipline(s):

Social Sciences

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

Other Selection Criteria (if any):

  • 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)

Details of supervision arrangements:

Students are required to meet their project supervisors at least three times for progress update. The progress meetings are expected to conduct in person.

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