Evidence map›Paper›PMID 39882128›Full record

ArticleFrontiers in public health2024

Study on the construction of multi-level protection system for non-emergency transfer under the perspective of structuring.

Wei Liu, Ruiqiang Chen

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. 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

2 authors.

Wei Liu *School of Social Work, China Civil Affairs University, Beijing, China.
Ruiqiang Chen *School of Politics and Public Administration, Guangxi Minzu University, Nanning, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The non-emergency transfer multi-level protection system is a pivotal livelihood endeavor in China, serving as a vital diversified component within the robust framework of a Chinese-style modern social security system. This system faces various challenges, including displacement of emergency capacity by non-emergency demands, uneven allocation of transfer resources, service quality variations, inadequate management structures, limited regulatory frameworks, and social acceptance issues. Methods: Leveraging structural theory, this study analyzes the primary issues in the current implementation of China's non-emergency transfer security system. A structured approach is employed to investigate these challenges and propose solutions. Results: The study identifies key areas for improvement in the non-emergency transfer security system. It highlights the need for an enhanced internal resource allocation mechanism to boost service efficiency, skilled workforce development to improve service quality, optimized management systems and coordination mechanisms to strengthen patient confidence in recovery, and strengthened comprehensive information technology management for market oversight. Discussion: The proposed structured approach aims to foster sustainable development of the non-emergency transfer security system within a positive feedback loop. The recommendations aim to address the identified challenges and enhance the overall effectiveness of the system. By improving resource allocation, workforce skills, management systems, and information technology, the study suggests fostering deeper emotional engagement and connections, ultimately contributing to the system's long-term success.

Indexed as

Resource AllocationSecurity MeasuresChinaHumansmedical securitynon-emergency transfersecurity systemstructuringtransfer services

Identifiers

PMID39882128
PMCPMC11774733

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.