Evidence map›Paper›PMID 40515369›Full record

ArticleInternational nursing review2025

The Great Resignation's Impact on Nursing: A Phenomenological Study.

Jolene Kittle

Abstract read
In one paragraph

Article in International nursing review, 2025. 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
–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

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

  1. Pooled it
  2. Article
  3. 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

1 author.

Jolene KittleDecker College of Nursing and Health Sciences, Binghamton University, Binghamton, New York, USA.ORCID https://orcid.org/0000-0003-2318-6189

Funding

Binghamton UniversityDecker College of Nursing internal
6 · The paper itself

Abstract

aimThe aim of this study is to explore the lived experiences of nurses practicing during and after the phenomenon known as the "Great Resignation" through the lens of the Motivation to Work theory. BACKGROUND/

introductionThe number of workers quitting their jobs since the COVID-19 pandemic reached record highs and this time period is often referred to as the "Great Resignation." There is a need to understand this phenomenon in nursing.

methodsThis study used a transcendental phenomenological design and adhered to the Consolidated Criteria for Reporting Qualitative Research guidelines.

findingsThe experiences of 18 registered nurses practicing during the "Great Resignation" were summarized in five themes: why I am a nurse, work environment, human needs, autonomy, and COVID. DISCUSSION: This study highlights that nurses practicing during the "Great Resignation" have stayed in the profession because of their commitment to their patients. However, increasing workload demands leave them feeling like they no longer can deliver the care their patients deserve. Nurses reported feeling that better resources to support the practice of nursing are needed and that how healthcare is delivered needs to be redesigned.

conclusionNurses chose the profession to help people and deliver high quality care. Work environment factors are creating barriers to deliver this care and nurses feel a lack of leadership support, autonomy, appreciation, and value. IMPLICATIONS FOR NURSING AND HEALTH POLICY: Findings from this study can inform policy surrounding a healthy work environment, retention strategies, and sustainability of the nursing profession.

Indexed as

COVID-19Job SatisfactionNursing Staff, HospitalWorkplaceAdultAttitude of Health PersonnelFemaleHumansMaleMiddle AgedQualitative ResearchSARS-CoV-2Workloadgreat resignationnursingnursing leadershippracticeretention

Identifiers

PMID40515369
PMCPMC12166163

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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.