Evidence map›Paper›PMID 37893806›Full record

ArticleHealthcare (Basel, Switzerland)2023

Perceptions of Healthcare Safety Nets among Tertiary Hospital and Long-Term Care Hospital Nurses during the COVID-19 Pandemic: A Q-Methodological Approach.

Bom-Mi Park, Mi Young Chon, Hyun-Jung 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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 73% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Bom-Mi ParkDepartment of Nursing, Research Institute for Biomedical & Health Science, Konkuk University, Chungju-si 27478, Republic of Korea.ORCID 0000-0003-3283-7668
Mi Young ChonDepartment of Nursing, Research Institute for Biomedical & Health Science, Konkuk University, Chungju-si 27478, Republic of Korea.
Hyun-Jung LeeDepartment of Nursing, Seoul ST. Mary's Hospital, The Catholic University of Korea, Seoul 06591, Republic of Korea.ORCID 0000-0002-3688-1247
Konkuk University · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KR

Funding

A019 (Konkuk university, Korea) A0190004
6 · The paper itself

Abstract

This study was conducted to identify the types of perceptions toward healthcare safety nets. This study applied a Q-methodology. From a Q-population of 91 samples that included a review of the related literature and interviews with five tertiary hospital nurses and five long-term care (LTC) hospital nurses, 33 Q-samples were selected. The data were analyzed with the PC-QUANL program. We recruited 32 nurses in a tertiary hospital and 33 nurses in an LTC hospital. The perceptions of the healthcare safety net of tertiary hospital nurses were categorized into four types: (1) systematic system request; (2) realistic work support; (3) government support; and (4) emotional support. The perceived subjectivity of the healthcare safety net of LTC hospital nurses were categorized into four types: (1) reward system and facility environmental support; (2) realistic work support; (3) social prevention infrastructure support; and (4) government support. This study provides basic data for these different hospital settings, as well as to inform future government policy and system improvements in an era characterized by infectious diseases. Specifically, this study presents the types of perceptions of healthcare safety nets of nurses in two hospital settings that deliver care for patients.

Indexed as

COVID-19 pandemichealthcare safety netnursesperceptionQ-methodological

Identifiers

PMID37893806
PMCPMC10606348
OpenAlexW4387614464

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.