Evidence map›Paper›PMID 42077977›Full record

ArticleFrontiers in public health2026

Quantitative evaluation of China's smart aging healthcare policy under the background of silver economy development: based on PMC model.

Ying Guan, Yu Xiang, Yan Fu, Leyao Huang, Shiyu Su, Zaixiang Tan, Xinru Huang

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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ying Guan *School of Management, Xuzhou Medical University, Xuzhou, China.
Yu Xiang *School of Management, Xuzhou Medical University, Xuzhou, China.
Yan Fu *School of Management, Xuzhou Medical University, Xuzhou, China.
Leyao Huang *School of Management, Xuzhou Medical University, Xuzhou, China.
Shiyu Su *School of Management, Xuzhou Medical University, Xuzhou, China.
Zaixiang Tan *School of Management, Xuzhou Medical University, Xuzhou, China.
Xinru Huang *School of Management, Xuzhou Medical University, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Against the backdrop of deep integration between population aging and digital technologies, smart aging care has emerged as a pivotal approach to alleviating caregiving pressures, optimizing resource allocation for senior care, and driving high-quality development of the silver economy. As a top-level institutional design, the quality of smart aging care policies directly determines the effectiveness of older adult care services and the inclusiveness of digital technology applications in older adult care. Conducting a scientific and systematic quantitative evaluation of such policy documents is essential. This study aims to quantitatively evaluate the overall quality and regional heterogeneity of China's smart aging care policies, identify policy shortcomings, and propose optimization pathways for improvement. Methods: The PMC-Index model is the quantitative policy evaluation method that constructs a multi-dimensional indicator system and assigns equal weights to each indicator. Based on this, this study has constructed an evaluation index system for the PMC model of smart aging care policies. This study systematically reviewed 83 smart aging care policies issued by China's government from 2020 to 2025.10 representative policies were selected based on screening criteria that encompass regional coverage across eastern, central, and western regions, uneven economic development, reflection of aging disparities, and responsiveness to the digitalization process.The PMC index was calculated through integrated methods including text mining and multi-input-output tables, combined with visual analysis to evaluate policy structures and regional heterogeneity, thereby identifying optimization pathways. Results: The findings indicate that the overall quality of China's smart aging healthcare policies has reached the "excellent" level, characterized by clear objectives, comprehensive domain coverage, and rigorous textual logic, demonstrating the strong orientation toward technology empowerment and industrial synergy. However, challenges remain: insufficient policy continuity, imbalanced tool mixes, and underdeveloped safeguards. Moreover, policy quality exhibits regional heterogeneity, with eastern regions prioritizing innovation and industrial cultivation, whereas central and western regions focus more on basic service provision and inclusive implementation. Conclusion: This study employs the PMC-Index model to conduct the multidimensional quantitative assessment of China's smart aging care policies. This research provides the reference framework for optimizing and refining smart aging care policies in China, which may also offer insights for other countries and regions addressing population aging and fostering silver economy development. Ultimately, it aims to support the coordinated advancement and continuous improvement of global smart aging care policies.

Indexed as

AgingEconomic DevelopmentHealth PolicyHealth Services for the AgedChinaDigital HealthDigital TechnologyHumansPMC-Index modelpolicy evaluationpolicy quantificationpolicy toolssilver economysmart aging care

Identifiers

PMID42077977
PMCPMC13128636

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.