Evidence map›Paper›PMID 36799368›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Correlation Between Ontological Insecurity and Daily Epidemic Prevention Behavior Among Inpatients During the COVID-19 Pandemic.

Huanhuan Shi, Tao-Hsin Tung, Mei-Xian Zhang, Chengwen Luo, Haixiao Chen, Weizhen Wang

Open access · goldAbstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. 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
0.6field-weighted citation impact, top 33% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Huanhuan ShiTaizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, China.ORCID 0000-0003-3539-7979
Tao-Hsin TungTaizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, China.
Mei-Xian ZhangTaizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, China.
Chengwen LuoTaizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, China.
Haixiao ChenTaizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, China.
Weizhen WangTaizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, Zhejiang, China.
Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluates inpatients' ontological insecurity and daily epidemic prevention behavior during the pandemic and explores the factors influencing daily epidemic prevention behaviors. The outbreak of coronavirus disease (COVID-19) in December 2019 caused a global public health crisis that has affected the very structure of society and the order of daily life. Ontological security is the ability to predict the impact of changes in social environments on personal security, such as during the pandemic. A cross-sectional study was used to collect data from 1185 inpatients of a hospital in Zhejiang, China, from July 11 to August 9, 2021. Our questionnaire recorded information on demographics, ontological insecurity, and daily epidemic prevention behaviors. The Mann-Whitney

Indexed as

COVID-19PandemicsCross-Sectional StudiesFemaleHumansInpatientsSARS-CoV-2COVID-19epidemic preventionontological insecurity

Identifiers

PMID36799368
PMCPMC9939917
OpenAlexW4321164843

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.