Evidence map›Paper›PMID 40604435›Full record

ArticleBMC geriatrics2025

Transforming aged care in China: insights from a TF-IDF-based data mining analysis of national policies (2018-2022).

Zhihan Liu, Hebin Li, Ziyan Zhang, Lu Ping, Wenxin Gu, Yuan Yao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2025. 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
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 authors.

Zhihan Liu *School of Public Administration, Central South University, Changsha, Hunan, 410004, China. liuzhihan@csu.edu.cn.
Hebin Li *School of Public Administration, Central South University, Changsha, Hunan, 410004, China.
Ziyan ZhangSchool of Public Administration, Central South University, Changsha, Hunan, 410004, China.
Lu PingSchool of Public Administration, Central South University, Changsha, Hunan, 410004, China.
Wenxin GuSchool of Public Administration, Central South University, Changsha, Hunan, 410004, China.
Yuan YaoBusiness School, Central South University, Changsha, Hunan, 410083, China.

Funding

Changsha Philosophy and Social Sciences Planning Program 2025CSSKKT116Changsha Science and Technology Bureau kh2302039General Research Program of Humanities and Social Sciences of the Ministry of Education 24YJAZH096National Natural Science Foundation of China 72474233Natural Science Foundation of Hunan Province 2022JJ30055Postgraduate Innovative Project of Central South University 2023ZZTS0811
6 · The paper itself

Abstract

backgroundAs China grapples with rapid demographic shifts due to an aging population, the urgency for innovative aged care policies has intensified.

objectiveThis study addresses a significant research gap by employing a text mining approach based on the Term Frequency-Inverse Document Frequency (TF-IDF) method, quantitatively analyzing a broad array of policy documents from 2018 to 2022.

methodsIt identifies key trends and shifts, using core feature words to construct co-occurrence and heterogeneity matrices analyzed via multidimensional scaling techniques.

resultsResearch results from 2018 to 2022 highlight China's focus on epidemic prevention, integrated care tailored to Chinese contexts, innovative social security and financial products, and the advancement of smart aged care against a backdrop of multifaceted demands. By analyzing policy changes surrounding significant political events and conducting comparative analysis with previous studies, this study delineates the evolution of policy priorities and anticipates future directions, highlighting the need to integrate advanced technologies and financial mechanisms to strengthen service delivery systems. These adjustments not only meet current demands but also strategically position China to navigate the complexities of an aging society.

conclusionsThis research provides critical insights for global policymakers facing similar demographic challenges, advocating for a resilient, holistic, and inclusive aged care system.

Indexed as

Data MiningHealth PolicyHealth Services for the AgedAgedChinaHumansAged care policiesMultidimensional scalingPolicy cyclicality comparisonPolicy quantificationTF-IDF algorithm

Identifiers

PMID40604435
PMCPMC12220013

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.