# Balancing the Demands of Older People and Care Services of Healthy Aging: Assessment and Positioning of Care Facilities

## TL;DR

This study analyzes the care service needs of older people in Chengdu and recommends ways to match them with appropriate care facilities to support healthy aging.

## Contribution

A novel approach combining fuzzy-set analysis and probabilistic linguistic term sets to assess and position care facilities based on older people's demands.

## Key findings

- Four main paths drive high demand for care services among older people.
- Medical, psychological counseling, and nursing services have the greatest impact on demand.
- Recommendations are provided for older people with clear or unclear care service demands.

## Abstract

This study aims to analyze the demands of older people for care services and to evaluate and position care facilities to accommodate the requirements of healthy aging.

Data on the demand for care services in Chengdu were collected. Fuzzy-set qualitative comparison analysis was used for demands analysis. Probabilistic linguistic term sets were used to assess and position facilities. Finally, the recommendations methods were provided by different demands of older people.

There were four paths to produce the high demands for care services of older people. Among the six types of services, medical services, psychological counseling, and nursing services had the greatest impact, while diet conditions had the least. The older people with clear demands can select facilities by the first recommendation method, while those with unclear demands can choose from four types of facilities: recommended, non-recommended, suitable for forward-thinking customers, and suitable for concerned customers.

This study provides valuable insights into older people, care facilities, and governments. The older people can choose suitable facilities by their demands, while facilities can enhance service quality accordingly. Governments can allocate resources efficiently and promote healthy aging.