Evidence map›Paper›PMID 41607888›Full record

ArticleFrontiers in public health2025

Evaluating long-term care insurance policies in China: an integrated analysis of policy instruments and PMC index model.

Jin Zhou, Xuefang Yao, Lei Tian

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Jin ZhouSchool of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Xuefang YaoSchool of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Lei TianInternational Pharmaceutical Business School, China Pharmaceutical University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Widespread population aging has significantly intensified the pressure on caring for older adults with disabilities. Establishing a long-term care insurance (LTCI) system has emerged as a pivotal strategy for many countries to mitigate this challenge. China is currently in a critical phase of implementing its LTCI system, and a systematic evaluation of its policy instrument is needed to optimize the design and implementation thereof. This study aimed to establish a two-dimensional analytical "policy instrument-policy level" framework to conduct a qualitative analysis of LTCI policy texts from the promotion phase. Methods: We established a two-dimensional analytical framework. By integrating the Policy Modeling Consistency (PMC) index model, we selected a total of 45 LTCI policy documents issued between January 1, 2020, and April 1, 2025, for qualitative analysis and policy scoring. Eleven documents were issued at the central level by national institutions, and 34 at the local level by provincial or municipal government departments. Results: Environment-based policy instruments accounted for the predominant proportion (48.9%) among all instruments utilized, whereas supply-based (27.8%) and demand-based instruments (23.3%) were relatively underutilized. The central level employed policy instruments in a comparatively balanced manner, while the local level demonstrated a pronounced reliance on environment-based instruments (51.0%). Furthermore, the PMC index evaluation indicated that the average PMC index for the 45 policies was 6.01, which corresponds to an Acceptable average policy grade. Areas for improvement were identified, specifically concerning policy targets, policy timeframe, and policy level coordination. Conclusion: China's LTCI policy framework demonstrates an acceptable overall performance level. However, it is characterized by a structural imbalance in the use of policy instruments, differing emphases between the central and local levels, and inadequate systematic design in certain policy components. Accordingly, recommendations for refining the policy system include optimizing the structure of policy instruments, enhancing the systemic integration of policies to improve institutional synergy, rationally planning policy timeframe, and expanding the coverage of policy targets.

Indexed as

Health PolicyInsurance, Long-Term CareAgingChinaHumansLong-Term CarePolicy Makinglong-term carelong-term care insurancePMC index modelpolicy instrumentpolicy scoring

Identifiers

PMID41607888
PMCPMC12834800

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.