Evidence map›Paper›PMID 41742297›Full record

Observational studyBMC psychology2026

Prevalence and predictors of quiet quitting among healthcare professionals: a scale development and validation study.

Yasemin Boy, Mahmut Sürmeli, Funda Çam

Abstract readObservational StudyValidation Study
In one paragraph

Observational study in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Yasemin BoyDepartment of Nursing, Faculty of Health Sciences, Tokat Gaziosmanpasa University, Tokat, Türkiye.
Mahmut SürmeliDepartment of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Tokat Gaziosmanpasa University, Tokat, Türkiye.
Funda ÇamDepartment of Nursing, Faculty of Health Sciences, Bezmialem Vakif University, İstanbul, Türkiye. fcam@bezmialem.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, “quiet quitting” (QQ) has emerged as a significant concern in the healthcare sector, reflecting a deeper disengagement from professional roles. Characterized by emotional exhaustion and detachment, QQ is influenced by various demographic and occupational factors. Understanding this phenomenon and its underlying causes is essential for promoting workforce sustainability and well-being. This study aimed to develop a valid and reliable instrument to assess QQ and its determinants among healthcare professionals (HPs).

methodsA comprehensive literature review was conducted to identify existing research on QQ, and a 25-item draft scale was developed. Following expert evaluation, the scale was administered to 242 HPs for preliminary validation. Exploratory factor analysis and reliability assessments were performed to refine the instrument.

resultsThe analysis yielded a refined 20-item scale comprising two subscales: “employee disengagement” and “emotional exhaustion and depersonalization.” The final version was administered to a larger sample of 436 HPs to evaluate the prevalence and causes of QQ. Findings revealed that 29.4% of participants experienced severe QQ. The condition was significantly associated with age, gender, education level, profession, work experience, and parental status. Contributing factors included increased workload (93.8%), unfavorable working conditions (90.6%), psychological violence from managers (90.6%), and low wages (90.6%).

conclusionsQQ emerges as a multidimensional syndrome encompassing dissatisfaction, emotional exhaustion, and detachment from professional responsibilities. The Quiet Quitting Scale for Health Professionals (QQS-HP) demonstrates strong psychometric properties and provides a valid tool for assessing disengagement in healthcare settings. Early identification and targeted interventions addressing systemic and managerial stressors are crucial for mitigating QQ and enhancing workforce well-being.

Indexed as

Burnout, ProfessionalHealth PersonnelPsychometricsAdultEmotional ExhaustionFemaleHumansJob SatisfactionMaleMiddle AgedPrevalenceReproducibility of ResultsSurveys and QuestionnairesBurnout differentiationEmployee disengagementHealthcare professionalsPsychometric validationQuiet quitting syndromeWork engagement

Identifiers

PMID41742297
PMCPMC13041000

What OpenQuestion holds

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LicenceCC BY
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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.