Evidence map›Paper›PMID 35430775›Full record

ArticleNursing & health sciences2022

"Getting caught unprepared": A phenomenological study of Indonesian nurses dealing with difficulties when caring for patients with coronavirus disease (COVID-19).

Sutantri Sutantri, Arcellia Farosyah Putri, Rini Ismiyati

Abstract read
In one paragraph

Article in Nursing & health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

3 authors.

Sutantri SutantriSchool of Nursing, Faculty of Medicine and Health Sciences, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia.ORCID https://orcid.org/0000-0002-2848-9616
Arcellia Farosyah PutriIndonesian Emergency and Disaster Nurses Association, Jakarta, Indonesia.ORCID https://orcid.org/0000-0003-0189-1418
Rini IsmiyatiHealth Promotion Unit, DR. Sardjito General Hospital, Yogyakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of coronavirus disease 2019 (COVID-19) has brought pressure and challenges to nurses worldwide. This study aims to understand the lived experiences of nurses in overcoming challenges when delivering care for patients with COVID-19 in Indonesia. The study employed a phenomenological research design. The researchers purposely selected nine nurses who provided care for patients with COVID-19 at an urban public hospital in Yogyakarta, Indonesia, between September and December 2020. The researchers conducted face-to-face interviews with participants. The interview data transcriptions were analyzed using Colaizzi's phenomenological analysis. The experiences of nurses in providing care for patients with COVID-19 can be summarized into three themes: (1) getting caught unprepared, (2) understanding and adapting to a new working situation, and (3) finding new meaning in the nursing profession. This study suggested that nurses overcame difficulties in caring for patients with COVID-19 by using multidimensional and culturally informed coping strategies. Hospital managers and policymakers need to consider culturally relevant coping strategies (i.e., religious-based coping strategies) when supporting healthcare providers during public health emergencies.

Indexed as

COVID-19NursesNursing Staff, HospitalHumansIndonesiaPatient CareQualitative ResearchSARS-CoV-2coping strategiesCOVID-19Indonesianursesnursing carepandemicqualitative research

Identifiers

PMID35430775
PMCPMC9115483

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.