Evidence map›Paper›PMID 37462097›Full record

ArticleInfection control and hospital epidemiology2024

Coronavirus disease 2019 (COVID-19) universal admission screening in patients and companions in Taiwan from May 2021 to June 2022: A nationwide multicenter study.

Hao-Hsin Wu, Chiu-Hsia Su, Li-Jung Chien, Shu-Hui Tseng, Shan-Chwen Chang

Abstract readMulticenter Study
In one paragraph

Article in Infection control and hospital epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
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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

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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, 1 synthesis or guideline pooled it.

  1. Pooled it
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

5 authors.

Hao-Hsin Wu *Division of Infection Control and Biosafety, Taiwan Centers for Disease Control, Taipei, Taiwan.ORCID 0000-0003-2450-2112
Chiu-Hsia Su *Division of Infection Control and Biosafety, Taiwan Centers for Disease Control, Taipei, Taiwan.
Li-Jung ChienDivision of Infection Control and Biosafety, Taiwan Centers for Disease Control, Taipei, Taiwan.
Shu-Hui TsengDivision of Infection Control and Biosafety, Taiwan Centers for Disease Control, Taipei, Taiwan.
Shan-Chwen ChangDepartment of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveUniversal admission screening and follow-up symptom-based testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may play critical roles in controlling nosocomial transmission. We describe the performance of test strategies for inpatients and their companions during various disease incidences in Taiwan.

designRetrospective population-based cohort study.

settingThe study was conducted across 476 hospitals in Taiwan.

methodsThe data for both testing strategies by reverse transcription-polymerase chain reaction for SARS-CoV-2 in newly admitted patients and their companions during May 2021-June 2022 were extracted and analyzed.

resultsThe positivity rate of universal admission screening was 0.76% (14,640 of 1,928,676) for patients and 0.37% (5,372 of 1,438,944) for companions. The weekly community incidences of period 1 (May 2021-June 2021), period 2 (July 2021-March 2022), and period 3 (April 2022-June 2022) were 6.57, 0.27, and 1,261, respectively, per 100,000 population. The positivity rates of universal admission screening for patients and companions (4.39% and 2.18%) in period 3 were higher than those in periods 1 (0.29% and 0.04%) and 2 (0.03% and 0.003%) (all

conclusionsUniversal admission screening and follow-up symptom-based testing is important for reducing nosocomial transmission. Implementing universal admission screening at an appropriate time would balance the benefits with costs and potential unintended harms.

Indexed as

COVID-19Cross InfectionCohort StudiesHumansInpatientsRetrospective StudiesSARS-CoV-2Taiwan

Identifiers

PMID37462097
PMCPMC10782195

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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.