Evidence map›Paper›PMID 40197250›Full record

ArticleBMC nursing2025

Navigating night shifts: a qualitative study of exploring sleep experiences and coping strategies among nurses.

Hyeonbin Lim, Su Hyun Kim

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Sleep Quality in Shift-Working Nurses: Subjective and Objective Evaluation.International journal of environmental research and public health · 2025
    Observational
  5. Article
  6. Article
  7. Article
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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

2 authors.

Hyeonbin LimKyungpook National University Hospital, Daegu, Korea.
Su Hyun KimCollege of Nursing, Kyungpook National University, Daegu, Korea. suhyun_kim@knu.ac.kr.

Funding

National Research Foundation of Korea NRF-2020R1A2C110161015
6 · The paper itself

Abstract

backgroundUnderstanding the experiences and coping strategies employed by nurses working night shifts is essential for developing effective interventions to mitigate sleep disturbances. However, actionable and reliable strategies for improving sleep quality remain elusive. This study aimed to explore the sleep experiences and coping strategies of nurses working rotating night shifts.

methodsThis qualitative descriptive study utilized semi-structured individual interviews with 15 nurses working rotating night shifts at three hospitals in South Korea. Data were collected between October 2022 and February 2023 and analyzed using qualitative content analysis.

resultsFour key themes emerged, including difficulty sleeping due to night shifts, distress due to difficulty sleeping, strategies to improve sleep quality, and desire for organizational change. Participants reported a range of coping strategies to enhance sleep quality while managing the challenges of shift work. These strategies included creating behaviors and environments to promote sleep, finding a balance between sleep and activity time, embracing irregular sleep patterns, and asking others for help.

conclusionsDespite employing various coping strategies, nurses working night shifts continued to face persistent sleep difficulties. While they recognized night shifts as an inherent aspect of their profession and demonstrated adaptability, they still sought to overcome their sleep challenges. These findings highlight the urgent need for organizational and institutional measures to address sleep-related issues among night shift nurses.

Indexed as

AdaptationCopingExperienceNight-shift workQualitative study

Identifiers

PMID40197250
PMCPMC11978025

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.