Evidence map›Paper›PMID 36339180›Full record

ReviewFrontiers in public health2022

Management of capital liquidity in public hospitals under the epidemic situation of COVID-19.

Xiaoqiao Hu, Wei Jin, Ailan Yang, Zhigang Hu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in public health, 2022. 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
1.2field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  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

4 authors at 2 institutions in 1 country.

Xiaoqiao HuDepartment of Finance, The First College of Clinical Medicine Science, Yichang Central People's Hospital, China Three Gorges University, Yichang, China.
Wei JinDepartment of Finance, The First College of Clinical Medicine Science, Yichang Central People's Hospital, China Three Gorges University, Yichang, China.
Ailan YangYichang Central People's Hospital at Zhijiang, Zhijiang, China.
Zhigang HuDepartment of Respiratory and Critical Care Medicine, The First College of Clinical Medicine Science, China Three Gorges University, Yichang, China.
Yichang Central People's Hospital · CNChina Three Gorges University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epidemic of COVID-19 has a great impact on the life and safety of people around the world. As the main force in the fight against COVID-19, the financial management of public hospitals will provide a strong guarantee for the diagnosis and treatment behavior of medical staff. The financial department needs to recognize the extent of the impact of COVID-19 on hospital finance, quantify and predict the potential risk factors, and develop reasonable financial management strategies. As an important part of assessing the financial health of public hospitals, the capital liquidity can be used as the focus direction of the hospital managers. In this study, we determine the effects of COVID-19 on the finance of public hospitals. Subsequently, we invested the conception, components, risk factors of capital liquidity in public hospitals. In addition, we provided some management strategies of capital liquidity in public hospitals under the epidemic of COVID-19. We deemed that good capital liquidity can ensure that medical staff have enough confidence and mentality to face the risk of death from COVID-19.

Indexed as

COVID-19Hospitals, PublicHumansCOVID-19current ratiofinanceliquiditypublic hospitals

Identifiers

PMID36339180
PMCPMC9631788
OpenAlexW4306943635

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.