Evidence map›Paper›PMID 34737245›Full record

ReviewJournal of Korean Academy of Nursing2021

Healthcare Considerations for Special Populations during the COVID-19 Pandemic: A Review.

Jeung-Im Kim, YeoJin Im, Ju-Eun Song, Sun Joo Jang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of Korean Academy of Nursing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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.

Jeung-Im Kim *School of Nursing, Soonchunhyang University, Cheonan, Korea.ORCID https://orcid.org/0000-0001-5499-8281
YeoJin Im *College of Nursing Science · East-West Nursing Research Institute, Kyung Hee University, Seoul, Korea.ORCID https://orcid.org/0000-0001-7054-0713
Ju-Eun SongCollege of Nursing · Research Institute of Nursing Science, Ajou University, Suwon, Korea. songje@ajou.ac.kr.ORCID https://orcid.org/0000-0003-4262-1895
Sun Joo JangRed Cross College of Nursing, Chung-Ang University, Seoul, Korea. icedcoffee@cau.ac.kr.ORCID https://orcid.org/0000-0002-7655-1744

Funding

Soonchunhyang University
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) has emerged as a threat to human health and public safety. People of all ages are susceptible to severe acute respiratory syndrome coronavirus 2 infection. However, the clinical manifestations of this infection differ by age. This study purposes to describe healthcare considerations for special populations, such as children, pregnant and lactating women, and older adults, who may have unique healthcare needs, in the pandemic situation. To realize the research purpose, we conducted a review of the practice guidelines of public documents and qualified studies that were published online/offline during a specific period. The review identified current knowledge on care for newborns, children in schools, pregnant women (from antenatal to postpartum care), and older adults suffering from high-risk conditions. Subsequently, we summarize vaccination guidance for special populations and, finally, discuss the issues currently affecting special populations. Therefore, this current knowledge on care for special populations helps nurses to provide accurate information on vaccinations aimed at preventing COVID-19 and protecting the masses from infection. Currently, the scarcity of information on COVID-19 variants necessitates further research on measures to reduce pandemic spread.

Indexed as

COVID-19Pregnancy Complications, InfectiousAgedChildDelivery of Health CareFemaleHumansInfant, NewbornLactationPandemicsPregnancySARS-CoV-2AgedChildCOVID-19Pregnant WomenSARS-CoV-2

Identifiers

PMID34737245

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.