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      Burnout, Professional Self-Efficacy, and Life Satisfaction as Predictors of Job Performance in Health Care Workers: The Mediating Role of Work Engagement

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          Abstract

          Background:

          It is essential to identify the factors that influence the work performance of health professionals working in health care facilities, especially in the context of the COVID-19 pandemic, since these factors have an impact on the quality of medical care provided to the population.

          Objective:

          This study aimed to analyze the mediating role of work engagement in the relationship between job burnout, professional self-efficacy, life satisfaction, and job performance in Peruvian health care workers.

          Methods:

          Cross-sectional explanatory study, with the voluntary participation of 508 health professionals (physicians and nurses) of both sexes (70.7% women, 29.3% men), and from different health facilities in the city of Lima. All participants were administered the Single Burnout Item questionnaire, the Professional Self-Efficacy Scale (AU-10), the Satisfaction with Life Scale (SWL), the Individual Work Performance Questionnaire (IWPQ), and the Utrecht Work Engagement Scale (UWES-9). Structural Equation Modeling (SEM) was used for data analysis.

          Results:

          In the SEM analysis, it was found that for the mediation model the incremental goodness-of-fit indices were significant (χ 2 = 2292.313, gl = 659, P < .001, χ 2/gl = 2.788). Career self-efficacy (β = .557, P < .001) and life satisfaction (β = .289, P < .001) were positive predictors of work engagement. While burnout was a negative predictor (β = .878, P < .001). The consistent mediation of work engagement of professional self-efficacy, life satisfaction, and burnout had a positive predictor effect on job performance (β = .878, P < .001).

          Conclusion:

          Research provides evidence that professional self-efficacy, life satisfaction, and burnout could influence job performance through work engagement.

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          Most cited references64

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          The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations.

          In this article, we attempt to distinguish between the properties of moderator and mediator variables at a number of levels. First, we seek to make theorists and researchers aware of the importance of not using the terms moderator and mediator interchangeably by carefully elaborating, both conceptually and strategically, the many ways in which moderators and mediators differ. We then go beyond this largely pedagogical function and delineate the conceptual and strategic implications of making use of such distinctions with regard to a wide range of phenomena, including control and stress, attitudes, and personality traits. We also provide a specific compendium of analytic procedures appropriate for making the most effective use of the moderator and mediator distinction, both separately and in terms of a broader causal system that includes both moderators and mediators.
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            Principles and Practice of Structural Equation Modeling, Fourth Edition

            Emphasizing concepts and rationale over mathematical minutiae, this is the most widely used, complete, and accessible structural equation modeling (SEM) text. Continuing the tradition of using real data examples from a variety of disciplines, the significantly revised fourth edition incorporates recent developments such as Pearl's graphing theory and the structural causal model (SCM), measurement invariance, and more. Readers gain a comprehensive understanding of all phases of SEM, from data collection and screening to the interpretation and reporting of the results. Learning is enhanced by exercises with answers, rules to remember, and topic boxes. The companion website supplies data, syntax, and output for the book's examples--now including files for Amos, EQS, LISREL, Mplus, Stata, and R (lavaan).<br><br> New to This Edition<br> *Extensively revised to cover important new topics: Pearl's graphing theory and the SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more.<br> *Chapters on best practices in all stages of SEM, measurement invariance in confirmatory factor analysis, and significance testing issues and bootstrapping.<br> *Expanded coverage of psychometrics.<br> *Additional computer tools: online files for all detailed examples, previously provided in EQS, LISREL, and Mplus, are now also given in Amos, Stata, and R (lavaan).<br> *Reorganized to cover the specification, identification, and analysis of observed variable models separately from latent variable models.<br><br> Pedagogical Features<br> *Exercises with answers, plus end-of-chapter annotated lists of further reading.<br> *Real examples of troublesome data, demonstrating how to handle typical problems in analyses.<br> *Topic boxes on specialized issues, such as causes of nonpositive definite correlations.<br> *Boxed rules to remember.<br> *Website promoting a learn-by-doing approach, including syntax and data files for six widely used SEM computer tools.
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              Regression-based statistical mediation and moderation analysis in clinical research: Observations, recommendations, and implementation.

              There have been numerous treatments in the clinical research literature about various design, analysis, and interpretation considerations when testing hypotheses about mechanisms and contingencies of effects, popularly known as mediation and moderation analysis. In this paper we address the practice of mediation and moderation analysis using linear regression in the pages of Behaviour Research and Therapy and offer some observations and recommendations, debunk some popular myths, describe some new advances, and provide an example of mediation, moderation, and their integration as conditional process analysis using the PROCESS macro for SPSS and SAS. Our goal is to nudge clinical researchers away from historically significant but increasingly old school approaches toward modifications, revisions, and extensions that characterize more modern thinking about the analysis of the mechanisms and contingencies of effects.
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                Author and article information

                Journal
                J Prim Care Community Health
                J Prim Care Community Health
                JPC
                spjpc
                Journal of Primary Care & Community Health
                SAGE Publications (Sage CA: Los Angeles, CA )
                2150-1319
                2150-1327
                21 May 2022
                Jan-Dec 2022
                : 13
                : 21501319221101845
                Affiliations
                [1 ]Universidad Peruana Unión (UPeU), Lima, Perú
                [2 ]Universidad Señor de Sipán, Chiclayo, Perú
                [3 ]Universidad Privada San Juan Bautista, Lima, Perú
                Author notes
                [*]Wilter C. Morales-García, Unidad de Posgrado en Salud Pública, Universidad Peruana Unión (UPeU), Jr. Garcia Naranjo 982, Lurigancho-Chosica 15464, Lima 15033, Perú. Email: wiltermorales@ 123456upeu.edu.pe
                Author information
                https://orcid.org/0000-0002-7340-7974
                https://orcid.org/0000-0002-4848-4767
                https://orcid.org/0000-0003-1208-9121
                Article
                10.1177_21501319221101845
                10.1177/21501319221101845
                9125607
                35603465
                23625323-590c-4318-90f1-a00a60f63d28
                © The Author(s) 2022

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 28 March 2022
                : 1 May 2022
                : 2 May 2022
                Categories
                Latin America Health: Public Policy and Primary Care
                Original Research
                Custom metadata
                January-December 2022
                ts1

                burnout,professional self-efficacy,life satisfaction,job performance,work engagement,health care workers

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