Evidence map›Paper›PMID 41121184›Full record

ArticleBMC health services research2025

Professional quality of life is related to emotional intelligence, self-care, and work conditions in healthcare workers: findings from a moderated mediation analysis.

Lourdes Ferrer Goodwin, Akhtar Wallymahmed, Zoi Triandafilidis, Daniel Barker

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Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Lourdes Ferrer GoodwinBrunel University London, Kingston Lane, London, Uxbridge, UB8 3PH, UK. mlourdesferrer@outlook.com.
Akhtar WallymahmedBrunel University London, Kingston Lane, London, Uxbridge, UB8 3PH, UK.
Zoi TriandafilidisCentral Coast Research Institute, 77A Holden Street, Gosford, NSW, 2113, Australia.
Daniel BarkerHunter Medical Research Institute, Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2113, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProfessional Quality of Life (ProQOL) among healthcare workers encompasses both positive aspects such as compassion satisfaction and negative dimensions including burnout and compassion fatigue. Emotional intelligence, self-care, workplace social support, and occupational role are critical factors influencing ProQOL outcomes, yet their interrelationships require further investigation within ecological frameworks.

objectiveThis study examined the direct and indirect effects of emotional intelligence on ProQOL in healthcare workers, with self-care as a mediator, and workplace social support and type of work as moderators, grounded in Bronfenbrenner’s Ecological Systems Theory, the Theory of Salutogenesis, and the Job Demands-Resources model.

methodsA cross-sectional survey of 343 healthcare workers from a single health district was conducted in New South Wales, Australia. Measures included emotional intelligence, personal and professional self-care (perception and practice), workplace social support, type of work, and ProQOL components. Data were analysed using SPSS and Process MACRO.

resultsEmotional intelligence positively influenced compassion satisfaction, reduced burnout, and mitigated compassion fatigue both directly and indirectly via self‑care. Notably, professional self‑care was a stronger buffer against work‑related stress than personal self‑care. Effects varied by work type and workplace social support: stronger protective effects were observed among direct care providers, whereas non‑direct care providers showed attenuated or reversed associations for high emotional intelligence. Component‑specific effects were identified, with “self‑focus” elements emotional intelligence components linked to higher compassion fatigue, “use of emotions” to greater compassion satisfaction, and “regulation of emotions” to reduced burnout.

conclusionsFindings highlight the importance of targeted, context-sensitive interventions that strengthen professional self-care strategies, develop role-relevant emotional intelligence skills, and optimise workplace social support. Such approaches have the potential to enhance the professional quality of life of healthcare workers across diverse roles and organisational settings. Limitations of findings and recommendations for research and practice are discussed.

Indexed as

Emotional IntelligenceHealth PersonnelQuality of LifeSelf CareAdultBurnout, ProfessionalCompassion FatigueCross-Sectional StudiesFemaleHumansJob SatisfactionMaleMediation AnalysisMiddle AgedNew South WalesSocial SupportBurnoutCompassion fatigueCompassion satisfactionEmotional intelligencePersonal self-careProfessional quality of lifeProfessional self-careSelf-careType of workWorkplace social support

Identifiers

PMID41121184
PMCPMC12539004

What OpenQuestion holds

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LicenceCC BY
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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.