Evidence map›Paper›PMID 37685404›Full record

ArticleHealthcare (Basel, Switzerland)2023

Effect of a Tabletop Program for Training Emerging Infectious Disease Responses in Nurses at Small- to Medium-Sized Hospitals in Areas with Poor Healthcare Access.

Kyung-Sook Cha, Keelyong Lee

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. 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

2 authors at 2 institutions in 1 country.

Kyung-Sook ChaDepartment of Nursing Science, Sun Moon University, 70 Sunmoon-ro 221 beon-gil, Tangjeong-myeon, Asan-si 31460, Republic of Korea.ORCID 0000-0002-7307-898X
Keelyong LeeDepartment of Nursing, Suwon Science College, 288, Seja-ro, Jeongnam-myeon, Hwaseong-si 18516, Republic of Korea.ORCID 0000-0001-5185-6827
Sun Moon University · KRSuwon Science College · KR

Funding

The National Research Foundation of Korea (NRF) grant funded by the South Korea government (Ministry of Science and ICT) No. 2020R1F1A1055437
6 · The paper itself

Abstract

This study developed and evaluated a tabletop program for training nurses working in small- to medium-sized hospitals in areas with poor healthcare access for emerging a tabletop program for training emerging infectious disease responses in nurses working at small- to medium-sized hospitals in areas with poor healthcare access and evaluated infectious disease responses. A tabletop program for training responses to emerging infectious diseases was provided to 29 nurses at a general hospital with <300 beds in a region without a tertiary general hospital or healthcare institution with nationally designated inpatient wards for patients with infectious diseases. The 180 min program consisted of an online theoretical lecture (Phase 1), one-on-one drills (Phase 2), and a scenario-based tabletop exercise (Phase 3). To evaluate the program's effect, pre- and post-knowledge, awareness, and competencies related to responses to emerging infectious diseases were assessed. The mean knowledge score significantly improved from 11.41 ± 2.33 before the training to 16.69 ± 2.48 after the training (z = -4.529,

Indexed as

communicable diseaseseducationhealthcare disparitiesinfection controlnurses

Identifiers

PMID37685404
PMCPMC10486792
OpenAlexW4386067576

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.