Evidence map›Paper›PMID 36612718›Full record

ArticleInternational journal of environmental research and public health2022

A National Quality Improvement Program on Ultrasound Department in China: A Controlled Cohort Study of 1297 Public Hospitals.

Xixi Tao, Jianchu Li, Yang Gu, Li Ma, Wen Xu, Ruojiao Wang, Luying Gao, Rui Zhang, Hongyan Wang, Yuxin Jiang

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Xixi TaoDepartment of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Jianchu LiDepartment of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Yang GuDepartment of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Li MaDepartment of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Wen XuDepartment of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Ruojiao WangDepartment of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Luying GaoDepartment of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Rui ZhangDepartment of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Hongyan WangDepartment of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Yuxin JiangDepartment of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.
Peking Union Medical College Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Providing high-quality medical services is of great importance in the imaging department, as there is a growing focus on personal health, and high-quality services can lead to improved patient outcomes. Many quality improvement (QI) programs with good guidance and fine measurement for improvement have been reported to be effective. In order to improve the quality of ultrasound departments in China, we conducted this study of a national quality improvement program. A total of 1297 public hospitals were included in this QI program on ultrasound departments in China from 2017 to 2019. The effect of this QI program was investigated, and potential factors, including hospital level and local economic development, were considered. The outcome indicators, the positive rate and diagnostic accuracy, were improved significantly between the two phases (positive rate, 2017 vs. 2019: 66.21% vs. 73.91%, p < 0.001; diagnostic accuracy, 2017 vs. 2019: 85.37% vs. 89.74%; p < 0.001). Additionally, they were improved in secondary and tertiary hospitals, with the improvement in secondary hospitals being greater. Notably, the enhancement of diagnostic accuracy in low-GDP provinces was almost 20%, which was more significant than the enhancement in high-GDP provinces. However, the important structural indicator, the doctor-to-patient ratio, decreased from 1.05:10,000 to 0.96:10,000 (p = 0.026). This study suggests that the national ultrasound QI program improved the outcome indicators, with secondary-level hospitals improving more than tertiary hospitals and low-GDP provinces improving more than high-GDP regions. Additionally, as there is a growing need for ultrasound examinations, more ultrasound doctors are needed in China.

Indexed as

Hospitals, PublicQuality ImprovementChinaCohort StudiesHospital DepartmentsHumansdiagnostic accuracyquality improvementquality indicatorultrasoundworkload

Identifiers

PMID36612718
PMCPMC9819884
OpenAlexW4312201938

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.