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Using co-creation and multi-criteria decision analysis to close service gaps for underserved populations
Duncan Mortimer1, Angelo Iezzi1, Marissa Dickins2,3
1Centre for Health Economics, Monash Business School, Monash University, Clayton, Victoria, Australia.
This study used co-creation and decision analysis to identify top-ranked interventions for older women living alone, addressing service gaps in healthcare pathways.
Area of Science:
- Health Services Research
- Gerontology
- Public Health Policy
Background:
- Healthcare navigation is complex for individuals with multiple needs, facing service gaps and access barriers.
- Novel methodologies are essential for identifying and resolving persistent issues within care pathways.
- Older women living alone (OWLA) represent a population with complex needs requiring tailored support.
Purpose of the Study:
- To demonstrate a novel approach for identifying persistent service gaps.
- To generate potential solutions through co-creation with end-users and stakeholders.
- To prioritize interventions effectively for improving care access and outcomes.
Main Methods:
- Employed a co-creation process combined with multi-criteria decision analysis (MCDA).
- Integrated findings within a larger, mixed-methods study involving community-dwelling older women living alone (OWLA) and provider representatives.
- Utilized performance criteria, weights, and ratings to evaluate and rank co-created interventions.
Main Results:
- Co-creation yielded ten novel interventions aimed at enhancing health, well-being, and independence for OWLA.
- Both OWLA and stakeholders consistently ranked "Handy Help," "Volunteer Drivers," and "Exercise Buddies" as high-priority interventions.
- MCDA, combining criterion weights and performance ratings, identified a clear set of prioritized solutions.
Conclusions:
- Multi-criteria decision analysis effectively prioritizes co-created interventions for underserved populations.
- This approach integrates community perspectives into policy discussions, addressing critical service gaps.
- The findings offer a replicable model for developing and prioritizing targeted interventions to improve care pathways.
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