Evidence map›Paper›PMID 42103368›Full record

ArticleBMJ open quality2026

Study on the effectiveness and accessibility of a CDR-based VTE quality control platform in county-level hospitals.

Zhenhua Zang, Bing Shuo Liu, Junping Li, Lin Li, Zhaodong Li, Jia Liu, Jianliang Zhang, Wendong Bian, Chunting Yuan, Mei Wang

Abstract read
In one paragraph

Article in BMJ open quality, 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
–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

10 authors.

Zhenhua ZangLinzi District People's Hospital, Zibo, Shandong, China.
Bing Shuo LiuLinzi District People's Hospital, Zibo, Shandong, China.ORCID 0009-0005-3444-6291
Junping LiLinzi District People's Hospital, Zibo, Shandong, China.
Lin LiLinzi District People's Hospital, Zibo, Shandong, China.
Zhaodong LiLinzi District People's Hospital, Zibo, Shandong, China.
Jia LiuLinzi District People's Hospital, Zibo, Shandong, China.
Jianliang ZhangLinzi District People's Hospital, Zibo, Shandong, China.
Wendong BianLinzi District People's Hospital, Zibo, Shandong, China.
Chunting YuanLinzi District People's Hospital, Zibo, Shandong, China.
Mei WangLinzi District People's Hospital, Zibo, Shandong, China lzqyywm@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To enhance venous thromboembolism (VTE) prevention and management in county-level hospitals, we developed a VTE quality control platform leveraging clinical databases and Clinician Workstations. The platform is characterised by simplified construction, cost-effectiveness and a user-friendly interface enabling precise real-time monitoring of VTE prevention measures in hospitalised patients. Comparative analysis of pre-implementation and post implementation data revealed significant improvements in key metrics: VTE bleeding risk assessment rate (1.33% vs 7.43%, p<0.001), basic prevention compliance (20.87% vs 50.38%, p<0.001), mechanical prevention utilisation (24.60% vs 27.37%, p=0.002) and appropriate prevention rate (11.67% vs 53.11%, p<0.001). The platform effectively optimised VTE prevention practices, demonstrating ease of deployment, affordability and operational efficiency-making it a scalable and practical solution for county-level hospitals in China.

Indexed as

Quality ControlVenous ThromboembolismChinaHospitalsHumansDecision support, computerisedManagementQuality improvement methodologiesVenous Thromboembolism

Identifiers

PMID42103368
PMCPMC13157737

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.