Evidence map›Paper›PMID 37591681›Full record

ArticleHealthcare informatics research2023

Need for Information and Communication Technology during COVID-19: An Exploratory Study Using Nurses' Activity Diaries.

Hyeongsuk Lee, Dongmin Lee, Seungmin Lee

Open access · goldAbstract read
In one paragraph

Article in Healthcare informatics research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Mobile robots for isolation-room hospital settings: A scenario-based preliminary study.Computational and structural biotechnology journal · 2024
    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 3 institutions in 1 country.

Hyeongsuk LeeCollege of Nursing, Gachon University, Incheon, Korea.
Dongmin LeeGachon University Gil Medical Center, Incheon, Korea.
Seungmin LeeMaria Fertility Hospital, Seoul, Korea.
Gachon University · KRGachon University Gil Medical Center · KRMaria Fertility Hospital · KR

Funding

National Research Foundation of Korea 2021R1F1A1045487
6 · The paper itself

Abstract

objectivesThe coronavirus disease 2019 (COVID-19) pandemic has led to high levels of burnout among nurses. Information and communication technology (ICT) may offer a solution to prevent a potential collapse in healthcare. The aim of this study was to identify areas where ICT could provide support, by analyzing the work of nurses during the COVID-19 pandemic.

methodsThis retrospective exploratory descriptive study analyzed qualitative data from the activity diaries of seven nurses working in COVID-19 wards or intensive care units.

resultsThe nursing work process during COVID-19 involved "added tasks," "changed tasks," and "reduced tasks" compared to the pre-COVID-19 situation. Nurses reported difficulties in communicating with other healthcare professionals both inside and outside the isolation room, as well as with patients. The use of various ICT solutions, such as real-time video-conferencing systems or mobile robots, could enhance patient monitoring in the isolation room and improve the quality and efficiency of communication.

conclusionsThe changes in work tasks not only led to nurse exhaustion but also negatively impacted the quality of care. ICT solutions should be explored to minimize the time spent in the isolation room, thereby reducing the risk of infection spread. This could also enhance communication among patients, family caregivers, and healthcare professionals.

Indexed as

COVID-19Information TechnologyNursing CarePatient IsolationWorkload

Identifiers

PMID37591681
PMCPMC10440201
OpenAlexW4385622685

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.