Evidence map›Paper›PMID 37984954›Full record

ArticleBMJ open2023

Quiet quitting among healthcare professionals in hospital environments: a concept analysis and scoping review protocol.

Jaejin Kang, Hyekyung Kim, Ok-Hee Cho

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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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

3 authors.

Jaejin KangDepartment of Health System, College of Nursing, The Catholic University of Korea, Seoul, Republic of Korea.
Hyekyung KimDepartment of Nursing, Catholic Kwandong University, Gangneung, Republic of Korea.
Ok-Hee ChoDepartment of Nursing, Kongju National University, Gongju, Republic of Korea ohcho@kongju.ac.kr.ORCID 0000-0002-8882-675X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe post-COVID-19 pandemic era has seen a rise in 'quiet quitting', with employees limiting their efforts to fulfil assigned tasks without going beyond their designated responsibilities. The occurrence of quiet quitting in hospitals can have detrimental effects not only on organisational culture but also on patient safety and satisfaction. Therefore, the aim of this study is to define quiet quitting among healthcare professionals in hospitals through concept analysis, identify the associated factors and outcomes of quiet quitting, and conduct a scoping review based on this defined concept. METHODS AND ANALYSIS: This study will adopt Walker and Avant method for concept analysis and Aromataris and Munn methodological framework as well as the Joanna Briggs Institute Reviewer's manual for scoping reviews. The concept analysis will follow eight steps: (1) choosing the concept; (2) outlining the objectives of the analysis; (3) recognising the concept's uses; (4) selecting the concept's defining attributes; (5) constructing a model case; (6) constructing additional cases; (7) defining the consequences and antecedents of the concept; and (8) determining empirical referents. This study used databases of PubMed, Embase, PsycINFO, Scopus, ProQuest Dissertations and Theses Global for the English language, and NDSL, KCI, RISS, KISS and DBpia for the Korean language. Additionally, grey literature will be searched. ETHICS AND DISSEMINATION: This concept analysis and scoping review does not require ethical approval. The results of this study will be reported in peer-reviewed publications.

Indexed as

Health PersonnelPandemicsAcademies and InstitutesDelivery of Health CareHospitalsHumansResearch DesignScoping Reviews as TopicCOVID-19health policyoccupational stress

Identifiers

PMID37984954
PMCPMC10660974

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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.