Evidence map›Paper›PMID 33827141›Full record

ArticleApplied clinical informatics2021

Tracking Hospital Visitors/Chaperones during the COVID-19 Pandemic.

Suh-Meei Hsu, Tsung-Kuei Cheng, Po-Jen Chang, Teng-Yu Chen, Ming-Huei Lu, Hui-Tzu Yeh

Open access · bronzeAbstract read
In one paragraph

Article in Applied clinical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Urban Determinants of COVID-19 Spread: a Comparative Study across Three Cities in New York State.Journal of urban health : bulletin of the New York Academy of Medicine · 2022
    Article
  3. 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

6 authors at 2 institutions in 1 country.

Suh-Meei HsuDepartment of Nursing, MacKay Memorial Hospital, Taipei, Taiwan.
Tsung-Kuei ChengDepartment of Information, Mackay Memorial Hospital, Taipei, Taiwan.
Po-Jen ChangDepartment of Information, Mackay Memorial Hospital, Taipei, Taiwan.
Teng-Yu ChenDepartment of Information, Mackay Memorial Hospital, Taipei, Taiwan.
Ming-Huei LuDepartment of Nursing, MacKay Children's Hospital, Taipei, Taiwan.
Hui-Tzu YehDepartment of Nursing, MacKay Memorial Hospital, Taipei, Taiwan.
Mackay Memorial Hospital · TWMackay Medical College · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe coronavirus disease (COVID-19) is an emerging infectious disease with strong infectious power and fatality rate. To protect national health, government agencies have regulations on hospital chaperoning and visiting. This article presents the development and implementation of a monitoring system for hospital visiting and chaperoning during the COVID-19 pandemic. The study aimed to create a hospital visiting and chaperoning monitor system that uses nation-wide data sources to more accurately screen hospital visitors and chaperones, assist contract tracing, and prevent transmission of severe acute respiratory syndrome coronavirus 2.

methodsThis project was implemented in 57 ward units of an academic medical center. The system was connected to the National Health Insurance (NHI) system and Hospital Information System (HIS), and built on the data of everyone who accessed either the hospital or ward using an NHI smart card or national identification card. To shorten the time for manual identification, we also developed a new system of "app for appointment visits and chaperones" to make appointments online.

resultsAfter the implementation of the system, data from visitors and chaperones in the nursing information system could be accessed. Given that all data were registered in the HIS visiting/chaperoning monitor system, an epidemic investigation could be performed whenever there was a confirmed case.

conclusionThrough the establishment of this system, people entering the ward can be accurately controlled, and all the contacts of potential cases can be traced.

Indexed as

HospitalsMedical ChaperonesPandemicsVisitors to PatientsCOVID-19HumansSARS-CoV-2

Identifiers

PMID33827141
PMCPMC8026259
OpenAlexW3140669393

What OpenQuestion holds

Textmetadata
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.