Evidence map›Paper›PMID 42040649›Full record

ArticleFrontiers in rehabilitation sciences2026

Determinants of consumption level among target population in Chinese hot spring medical and long-term care integration with rehabilitation services model and value perception analysis based on the importance-performance analysis framework.

Xiaochen Li, Yao Zhou, Zihan Chen, Xue Yang, Liqing Yao

Abstract read
In one paragraph

Article in Frontiers in rehabilitation sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiaochen LiDepartment of Rehabilitation Medicine, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Yao ZhouDepartment of Rehabilitation Medicine, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Zihan ChenDepartment of Rehabilitation Medicine, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Xue YangDepartment of Rehabilitation Medicine, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.
Liqing YaoDepartment of Rehabilitation Medicine, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This cross-sectional empirical study evaluates the Chinese Hot Spring Medical and Long-term Care Integration with Rehabilitation Services Model (Hot Spring MLR Model). By quantifying the demographic characteristics, behavioral determinants, and multidimensional value perceptions of the target population ( Methods: Primary empirical data were acquired from target users of the Hot Spring MLR Model ( Results: In the target population survey, the sub-health population constitutes the primary target group for the Hot Spring Medical and Long-term Care Integration with Rehabilitation Services Model (44.5%), with the highest participation rate observed in the traditional Chinese medicine (TCM) of Hot Spring Medical and Long-term Care Integration with Rehabilitation Services Model (82.1%). The consumption behavior within the Hot Spring Medical and Long-term Care Integration with Rehabilitation Services Model is significantly correlated with age, education, consumption motivation, and social media marketing channels ( Conclusion: Empirical evidence indicates that the optimal service configuration for the Hot Spring MLR Model lies in preventive interventions and holistic health management for sub-health populations. Furthermore, mitigating the quantified behavioral determinants and resolving the supply-demand discrepancies identified via the IPA matrix provide a strictly data-driven framework to optimize resource allocation and enhance overall service efficacy.

Indexed as

consumption behaviorimportance-performance analysis (IPA)medical and long-term care integration with rehabilitation services modelmedical applications of hot springssub-health population

Identifiers

PMID42040649
PMCPMC13106423

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.