Exploring Factors Associated with Occupational Burnout experienced by Healthcare Professionals

King, Nicole (2022) Exploring Factors Associated with Occupational Burnout experienced by Healthcare Professionals. DClinPsy thesis, University of Sheffield.

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Supervisors: Delgadillo, Jaime and Laker, Victoria
Publicly visible additional information: Systematic review and Meta-analysis Abstract Objectives. This systematic review and meta-analysis sought to explore the magnitude and direction of associations between occupational burnout and job satisfaction amongst healthcare professionals. Method. The research literature was systematically screened across three electronic databases (Scopus, PsycINFO, Web of Science) in July 2021. Quantitative studies were included that analysed the association between occupational burnout and job satisfaction, as measured by validated outcome measures, across healthcare professionals in accordance with the inclusion criteria. Random-effects meta-analyses and sensitivity analyses were performed based on reported and transformed r-coefficients denoting the association between job satisfaction and occupational burnout. All studies were assessed for methodological quality. Heterogeneity was explored across clinical and methodological characteristics, and methodological quality ratings. Narrative synthesis was performed on studies not eligible for inclusion in the meta-analysis. Results. Following PRISMA guidelines, 58 eligible studies were reviewed, of which 54 (N = 27,667 participants) were included in meta-analysis. The majority of eligible studies were evaluated as having ‘moderate’ methodological quality (n = 36). The primary meta-analysis demonstrated a significant small-to-medium negative correlation between occupational burnout and job satisfaction amongst healthcare professionals; r = -.29, 95% CI [-.35; -0.22], z = -8.35, p <.001. Sensitivity analyses revealed that clinical and methodological differences (e.g., measures used, setting, professional discipline and location) accounted for significant proportions of the heterogeneity in the meta-analytic results. Conclusion. Increased burnout is associated with decreased job satisfaction amongst healthcare professionals. Keywords. Occupational Burnout, Job Satisfaction, Healthcare Professionals Empirical Research Project Abstract: Objectives. This secondary analysis of a randomised controlled trial (UpLift) aimed to investigate whether Cognitive Behaviour Therapy (CBT) or Job Crafting (JC) interventions for occupational burnout could be prescribed in a personalised way, based on participant baseline characteristics and treatment responses. Methods. A supervised machine learning analysis (elastic net regularisation) was applied in independent training samples from CBT (n = 100) and JC (n = 100) UpLift participants. For external cross-validation, each prediction model was applied to an independent validation sample (N = 97; CBT n = 42, JC n = 55) and personalised advantage index scores were calculated. To evaluate the prediction models, the model-predicted post-intervention burnout scores were compared to the observed burnout scores across training and validation samples for each intervention. Results. The prediction models for CBT and JC shared five prognostic variables. These included: burnout subdomains disengagement and exhaustion, stress, satisfaction with the nature of the work, and satisfaction with the job role. Baseline turnover intentions predicted post-intervention burnout in the JC intervention. Baseline mental wellbeing and social support predicted post-intervention burnout in the CBT intervention. The optimal model-indicated intervention was CBT across all participants in the validation sample. There was no evidence that some cases with specific features would respond better to JC. Conclusion. CBT appears most beneficial at targeting occupational burnout in healthcare professionals. There was little evidence for the need to develop a targeted prescription model to differentially recommend CBT or JC in a personalised way. Keywords. Occupational Burnout; Cognitive Behavioural Therapy; CBT; Job Crafting; Healthcare Professionals; Precision Medicine; Machine Learning; Targeted Prescription; Personalized Treatment Selection
Keywords: Occupational Burnout; Job Satisfaction; Healthcare Professionals; Meta-analysis; Cognitive Behavioural Therapy; CBT; Job Crafting; Precision Medicine; Machine Learning; Targeted Prescription; Personalized Treatment Selection
Awarding institution: University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > Psychology (Sheffield)
Identification Number/EthosID: uk.bl.ethos.863401
Depositing User: Miss Nicole King
Date Deposited: 27 Sep 2022 12:22
Last Modified: 09 Feb 2024 16:55
Open Archives Initiative ID (OAI ID): oai:etheses.whiterose.ac.uk:31336

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