Aims
This study aims to test a hypothetical model linking various dimensions of organizational justice to the job satisfaction and nurses' intention to leave the profession based on the theoretical assumptions of the Alexander model of voluntary turnover.
Design
A cross‐sectional survey.
Methods
This study was conducted on 317 inpatient ward nurses of six teaching hospitals in Tehran, Iran during 1 September 2017–14 November 2018. Clinical nurses were recruited by a multistage random sampling. Data were collected using structured questionnaires of organizational justice, job satisfaction, and nurses' intention to leave. Data were analysed by structural equation modelling using Amos 22 statistical program.
Results
The structural equation model demonstrated adequate fit and the hypothesized correlations were partially supported. The findings suggested that the distributive justice (p < .001; β = 0.24) and interactional justice (p < .001; β = 0.44) could indirectly affect the nurses' intention to leave the nursing profession via the direct impact on job satisfaction, while job satisfaction had a significant, negative effect on the nurses' intention to leave (p < .001; β = −0.71).
Conclusions
According to the results, the model fit was acceptable, suggesting the validity of the final model. Furthermore, distributive and interactional justice could reduce the intention to leave the nursing profession by influencing the job satisfaction of the clinical nurses.
Impact
This was one of the first studies to determine the aspects of justice that must be further emphasized by healthcare managers to increase the job satisfaction of nurses and their retention in healthcare systems. The findings indicated that fair interactions have a greater impact on job satisfaction and retention of nurses than procedural and distributive justice. The results of this study provide valuable references for nursing managers to increase the job satisfaction of nurses and their retention in healthcare settings.
Introduction: Sleep disorders are a common problem in
patients in the critical care unit. The objective of the present study was to determine
the effect of white noise on the quality of sleep in patients admitted to the CCU.
Methods: The present study was single-blind,
quasi-experimental study. A total of 60 patients were selected using the purposive
sampling method. Quality of sleep was measured with PSQI on the first day in admission,
then after three nights of admission without any intervention for control group and for
the experimental group quality of sleep measured by white noise with intensity of 50-60 dB
then Quality of sleep was measured with PSQI. Data were analyzed by SPSS 13 software.
Results: The average total sleep time in the control group
before the study reached from 7.08 (0.8) to 4.75 (0.66) hours after three nights of
hospitalization, while in the experimental group, no significant changes were seen in the
average sleep hours (6.69 ± 0.84 vs. 6.92 ± 0.89, P = 0.15).The average minutes of sleep
in the control group before the study reached from 12.66 (7.51) to 25.83 (11.75) minutes
after a three- night stay, while in the experimental group, no significant changes were
observed in the average sleep duration (12.16 ± 7.50 vs. 11 ±6. 07, P = 0.16).
Conclusion: The use of white noise is recommended as a
method for masking environmental noises, improving sleep, and maintaining sleep in the
coronary care unit.
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