Evidence map›Paper›PMID 35455921›Full record

ArticleHealthcare (Basel, Switzerland)2022

Nursing Experience of New Nurses Caring for COVID-19 Patients in Military Hospitals: A Qualitative Study.

Young-Hoon Kwon, Hye-Ju Han, Eunyoung Park

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

3 authors at 2 institutions in 1 country.

Young-Hoon KwonCollege of Nursing, Chungnam National University, Daejeon 35015, Korea.ORCID 0000-0001-7281-1994
Hye-Ju HanNursing Department, Armed Forces Capital Hospital, Seongnam 13574, Korea.ORCID 0000-0002-8021-3502
Eunyoung ParkCollege of Nursing, Chungnam National University, Daejeon 35015, Korea.ORCID 0000-0002-2251-3582
Chungnam National University · KRArmed Forces Capital Hospital · KR

Funding

Chungnam National University Not applicable
6 · The paper itself

Abstract

This qualitative study explored the experiences of new nurses with less than one year of clinical experience in caring for COVID-19 patients in a military hospital. In-depth interviews were conducted with six new nurses working in a negative-pressure isolation unit of the Armed Forces Capital Hospital. Data were analyzed using the phenomenological method proposed by Colaizzi, and 12 themes were derived and classified into four clusters: burden of nursing in isolation units; hardship of nursing critically ill patients; efforts to perform nursing tasks; positive changes through patient care. The participants were anxious while caring for COVID-19 patients with severe illness due to a lack of clinical experience. Furthermore, the wearing of heavy personal protective equipment impeded communication with patients, leading to physical and psychological exhaustion. However, they tried to utilize their own know-how and provide the best nursing care, resulting in them gaining confidence. Participants were able to think critically and took pride in being military nursing professionals. This study is meaningful as it provides insight into the experiences of new military nurses who were rapidly dispatched during a national medical crisis. The results can be applied to develop future strategies aimed at improving new nurses' competency in military hospitals.

Indexed as

COVID-19military hospitalsnursesqualitative research

Identifiers

PMID35455921
PMCPMC9027116
OpenAlexW4224013911

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.