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Front-Line Registered Nurse Job Satisfaction and Predictors: A Meta-Analysis from 1980 - 2009

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Date Issued:
2012
Abstract/Description:
Front-line registered nurses (RNs) make up the workforce that directly affect the care of patients in a variety of different healthcare settings. RN job satisfaction is important because it is tied to retention, organizational commitment, workforce safety, patient safety, and cost savings. The strongest predictors have been difficult to determine because workplaces differ, numerous tools to measure satisfaction exist, the workforce is diversified by generations and work positions, and ongoing policy changes directly impact the work of the front-line RN. The strength and stability of the workforce depends on an accurate understanding of the predictors of job satisfaction for the front-line RN. The purpose of this study was to comprehensively, quantitatively examine predictors of front-line RN job satisfaction from 1980-2009 to provide overarching conclusions based on empirical evidence. Of interest was: the (1) estimation of large, moderate, and small predictor summary effect sizes; (2) assessment of predictor differences among decades (i.e., 1980s, 1990s, and 2000s); (3) identification of causes for predictor differences among studies (i.e., moderators); and (4) investigation of predictor differences between generations (i.e., Baby Boomers, Generation X, and Millennials).A non-a priori meta-analysis approach was guided by inclusion and exclusion criteria to review published and unpublished studies from 1980(-)2009. The search process identified 48 published and 14 unpublished studies used for analysis. Within the studies that met inclusion criteria, 27 job satisfaction predictors met inclusion for analysis. Studies were coded for Study Characteristics (e.g., Year of Publication, Country of Study) that were needed for moderator analysis. Predictors were coded for data that were necessary to calculate predictor summary effect sizes (i.e., r, n). Coding quality was maximized with a coding reliability scheme that included the primary investigator (PI) and secondary coder. A random-effects model was used to guide the calculation of summary effect sizes for each job satisfaction predictor. Publication bias was examined using funnel plots and Rosenthal's Fail-safe N. An analysis of variance (ANOVA) was used to evaluate predictor differences among decades (i.e., 1980s, 1990s, and 2000s). Heterogeneity among studies was calculated (i.e., Q-statistic, I-squared, and Tau-squared) to guide the need for moderator analysis. Moderator analyses were conducted to evaluate Study Characteristics as sources of predictor differences among studies, and to investigate the influence of Age (i.e., generation) on predictor effect sizes.The largest effect sizes were found for three predictors: Task Significance (r=.61), Empowerment (r=.55), and Control (r=.52). Moderate effect sizes were found for 10 predictors (e.g., Autonomy: r=.44; Stress: r=-.43), and small effect sizes were found for nine predictors (e.g., Wages: r=.23; Staffing Adequacy: r=.19). Significant heterogeneity between studies was present in all of the 27 predictor analyses. Effect size differences were not found between decades or generations. Moderator analysis found that the sources of the difference between studies remain unexplained indicating that unknown moderators are present.Findings from this study indicate that the largest predictors of job satisfaction for the front-line RN may be different than previously thought. Heterogeneity between studies and unidentified moderators indicate that there are significant differences among studies and more research is needed to identify the source(s) of these differences. The findings from this study can be used at the organizational, state, and national level to guide leaders to focus efforts of workplace improvements that are based on predictors that are most meaningful to front-line RNs (i.e., Task Requirements, Empowerment, and Control). Future research is needed to determine contemporary predictors of job satisfaction for the front-line RN, and the causes of heterogeneity between studies. The findings from the current study provide the critical synthesis needed to guide educational and practice recommendations aimed at supporting job satisfaction of front-line RNs, thereby, maintaining this integral component of the healthcare workforce.
Title: Front-Line Registered Nurse Job Satisfaction and Predictors: A Meta-Analysis from 1980 - 2009.
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Name(s): Saber, Deborah Anne, Author
Norris, Anne, Committee Chair
Andrews, Diane, Committee Member
Byers, Jacqueline, Committee Member
Bowers, Clint, Committee Member
University of Central Florida, Degree Grantor
Type of Resource: text
Date Issued: 2012
Publisher: University of Central Florida
Language(s): English
Abstract/Description: Front-line registered nurses (RNs) make up the workforce that directly affect the care of patients in a variety of different healthcare settings. RN job satisfaction is important because it is tied to retention, organizational commitment, workforce safety, patient safety, and cost savings. The strongest predictors have been difficult to determine because workplaces differ, numerous tools to measure satisfaction exist, the workforce is diversified by generations and work positions, and ongoing policy changes directly impact the work of the front-line RN. The strength and stability of the workforce depends on an accurate understanding of the predictors of job satisfaction for the front-line RN. The purpose of this study was to comprehensively, quantitatively examine predictors of front-line RN job satisfaction from 1980-2009 to provide overarching conclusions based on empirical evidence. Of interest was: the (1) estimation of large, moderate, and small predictor summary effect sizes; (2) assessment of predictor differences among decades (i.e., 1980s, 1990s, and 2000s); (3) identification of causes for predictor differences among studies (i.e., moderators); and (4) investigation of predictor differences between generations (i.e., Baby Boomers, Generation X, and Millennials).A non-a priori meta-analysis approach was guided by inclusion and exclusion criteria to review published and unpublished studies from 1980(-)2009. The search process identified 48 published and 14 unpublished studies used for analysis. Within the studies that met inclusion criteria, 27 job satisfaction predictors met inclusion for analysis. Studies were coded for Study Characteristics (e.g., Year of Publication, Country of Study) that were needed for moderator analysis. Predictors were coded for data that were necessary to calculate predictor summary effect sizes (i.e., r, n). Coding quality was maximized with a coding reliability scheme that included the primary investigator (PI) and secondary coder. A random-effects model was used to guide the calculation of summary effect sizes for each job satisfaction predictor. Publication bias was examined using funnel plots and Rosenthal's Fail-safe N. An analysis of variance (ANOVA) was used to evaluate predictor differences among decades (i.e., 1980s, 1990s, and 2000s). Heterogeneity among studies was calculated (i.e., Q-statistic, I-squared, and Tau-squared) to guide the need for moderator analysis. Moderator analyses were conducted to evaluate Study Characteristics as sources of predictor differences among studies, and to investigate the influence of Age (i.e., generation) on predictor effect sizes.The largest effect sizes were found for three predictors: Task Significance (r=.61), Empowerment (r=.55), and Control (r=.52). Moderate effect sizes were found for 10 predictors (e.g., Autonomy: r=.44; Stress: r=-.43), and small effect sizes were found for nine predictors (e.g., Wages: r=.23; Staffing Adequacy: r=.19). Significant heterogeneity between studies was present in all of the 27 predictor analyses. Effect size differences were not found between decades or generations. Moderator analysis found that the sources of the difference between studies remain unexplained indicating that unknown moderators are present.Findings from this study indicate that the largest predictors of job satisfaction for the front-line RN may be different than previously thought. Heterogeneity between studies and unidentified moderators indicate that there are significant differences among studies and more research is needed to identify the source(s) of these differences. The findings from this study can be used at the organizational, state, and national level to guide leaders to focus efforts of workplace improvements that are based on predictors that are most meaningful to front-line RNs (i.e., Task Requirements, Empowerment, and Control). Future research is needed to determine contemporary predictors of job satisfaction for the front-line RN, and the causes of heterogeneity between studies. The findings from the current study provide the critical synthesis needed to guide educational and practice recommendations aimed at supporting job satisfaction of front-line RNs, thereby, maintaining this integral component of the healthcare workforce.
Identifier: CFE0004592 (IID), ucf:49220 (fedora)
Note(s): 2012-12-01
Ph.D.
Nursing, Nursing
Doctoral
This record was generated from author submitted information.
Subject(s): nurse job satisfaction -- nurse job satisfaction meta-analysis
Persistent Link to This Record: http://purl.flvc.org/ucf/fd/CFE0004592
Restrictions on Access: campus 2015-12-15
Host Institution: UCF

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