The relationship between performance feedback from supervisors and subordinates' work engagement among employees in elderly care facilities: structural equation modeling. 2023

Mitsunobu Saito, and Shinichi Tokuno, and Kanami Tsuno
School of Health Innovation, Kanagawa University of Human Services Graduate School, Japan.

Despite the increasing need for nursing care services, the turnover rate of care workers is high in Japan. Since the most common reason for quitting nursing care jobs was problems with interpersonal relationships at work, creating psychosocially safe working environments is urgent. This study aimed to investigate the mediating effects of trust in supervisors (TS) on the association between positive feedback (PF)/negative feedback (NF) and work engagement (WE) based on the job demands-resources theory and conservation of resources theory. We conducted anonymous cross-sectional surveys of 469 employees at elderly care facilities in Japan. Structural equation modeling was used to investigate the causal relationships between the variables. The results showed that PF had significant positive effects on WE, directly and indirectly through TS. By contrast, NF had a nonsignificant positive effect on TS or WE. Tucker-Lewis Index [TLI] was 0.917, Comparative Fit Index [CFI] was 0.927, Root Mean Squared Error of Approximation [RMSEA] was 0.096, and Standardized Root Mean squared Residual [SRMR] was 0.042. The study results indicate that sufficient PF is needed to improve subordinates' WE through TS in elderly care facilities.

UI MeSH Term Description Entries
D010563 Personnel Turnover A change or shift in personnel due to reorganization, resignation, or discharge. Employee Turnover,Personnel Retention,Employee Turnovers,Personnel Retentions,Personnel Turnovers,Retention, Personnel,Turnover, Employee,Turnover, Personnel
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D005246 Feedback A mechanism of communication within a system in that the input signal generates an output response which returns to influence the continued activity or productivity of that system. Feedbacks
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000074824 Work Engagement Extent to which members of a workplace perceive their emotional commitment to and involvement in the organization and its goals. Employee Engagement,Employee Participation,Staff Engagement,Staff Participation,Worker Participation,Workplace Engagement,Engagement, Employee,Engagement, Staff,Engagement, Work,Engagement, Workplace,Participation, Employee,Participation, Staff,Participation, Worker,Participations, Worker
D000077272 Latent Class Analysis A statistical algorithm used to analyze clusters of observed variables by constructing categorical unobserved or latent segment based on weighted analysis and the average probabilities. Such latent classes are used to infer variables whose relationships are not directly observed. In biomedical research, it is often used to categorize data that allows the determination of symptom clusters. Latent Class Model,Latent Variable Modeling,Probabilistic Latent Semantic Analysis,Structural Equation Modeling,Latent Class Analyses,Latent Class Models,Latent Variable Modelings,Model, Latent Class,Modeling, Latent Variable,Modeling, Structural Equation,Structural Equation Modelings,Variable Modeling, Latent

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