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Developing a screening-guided volunteer-supported in-home respite services model: a modified online Delphi study.

Linda Dong-Ling Wang1, Jeff Yiu1, Nga-Yan Hui1

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This study co-designed a volunteer-supported in-home respite service model for aging populations. The model uses risk triage to match volunteers with family caregivers, promoting aging in place.

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Ageing in placeCaregiversCo-designCommunity-based servicesDelphi studyRespite careService modelVolunteer support

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Area of Science:

  • Gerontology
  • Public Health
  • Social Work

Background:

  • Growing global population ageing necessitates sustainable, person-centered care models for aging in place.
  • In-home respite services, especially volunteer-supported ones, are crucial for family caregivers of homebound older adults.
  • Stakeholder-informed co-design is essential for successful implementation of such services.

Purpose of the Study:

  • To establish expert consensus on a screening-guided, volunteer-supported in-home respite service model.
  • To co-design a practical and effective model for supporting family caregivers.
  • To address the increasing demand for respite care in aging societies.

Main Methods:

  • A modified online Delphi study involving 17 international experts and Hong Kong NGO practitioners.
  • Two rounds of expert ratings on model domains (appropriateness, completeness, clarity, applicability) using a 9-point Likert scale.
  • Thematic analysis of qualitative feedback to refine the service model.

Main Results:

  • A final model featuring a 4-level risk triage and needs assessment for volunteer matching and service provision.
  • Moderate overall consensus achieved, with strong agreement on clarity and appropriateness.
  • Stakeholder subgroups showed divergence, highlighting the balance between rigor and feasibility; the model was deemed feasible and acceptable.

Conclusions:

  • A co-designed, risk-triaged, volunteer-supported in-home respite model is presented, aligning with aging in place policies.
  • The model integrates international research and local expertise, offering insights for scaling respite care.
  • Further research is recommended to evaluate the model's generalizability, long-term outcomes, and sustainability.