Determinants of job satisfaction for novice nurse managers employed in hospitals

Maja Djukic, Jin Jun, Christine Kovner, Carol Brewer, Jason Fletcher

Research output: Contribution to journalArticle

Abstract

BACKGROUND:: Numbering close to 300,000 nurse managers represent the largest segment of the health care management workforce. Their effectiveness is, in part, influenced by their job satisfaction. PURPOSE:: We examined factors associated with job satisfaction of novice frontline nurse managers. METHODOLOGY/APPROACH:: We used a cross-sectional, correlational survey design. The sample consisted of responders to the fifth wave of a multiyear study of new nurses in 2013 (N = 1,392; response rate of 69%) who reported working as managers (n = 209). The parent study sample consisted of registered nurses who were licensed for the first time by exam 6–18 months prior in 1 of 51 selected metropolitan statistical areas and 9 rural areas across 34 U.S. states and the District of Columbia. We examined bivariate correlations between job satisfaction and 31 personal and structural variables. All variables significantly related to job satisfaction in bivariate analysis were included in a multivariate linear regression model. In addition, we tested the interaction effects of procedural justice and negative affectivity, autonomy, and organizational constraints on job satisfaction. The Cronbach’s alphas for all multi-item scales ranged from .74 to .96. FINDINGS:: In the multivariate analysis, negative affectivity (β = −.169; p = .006) and procedural justice (β = .210; p = .016) were significantly correlated with job satisfaction. The combination of predictors in the model accounted for half of the variability in job satisfaction ratings (R = .51, adjusted R = .47; p

Original languageEnglish (US)
JournalHealth Care Management Review
DOIs
StateAccepted/In press - Jan 13 2016

Fingerprint

Nurse Administrators
Job Satisfaction
Social Justice
Linear Models
Nurses
Managers
Job satisfaction
Multivariate Analysis
Cross-Sectional Studies
Delivery of Health Care

ASJC Scopus subject areas

  • Health Policy
  • Leadership and Management
  • Strategy and Management

Cite this

Determinants of job satisfaction for novice nurse managers employed in hospitals. / Djukic, Maja; Jun, Jin; Kovner, Christine; Brewer, Carol; Fletcher, Jason.

In: Health Care Management Review, 13.01.2016.

Research output: Contribution to journalArticle

@article{30afdbb26c4241dcadb2574886c644b2,
title = "Determinants of job satisfaction for novice nurse managers employed in hospitals",
abstract = "BACKGROUND:: Numbering close to 300,000 nurse managers represent the largest segment of the health care management workforce. Their effectiveness is, in part, influenced by their job satisfaction. PURPOSE:: We examined factors associated with job satisfaction of novice frontline nurse managers. METHODOLOGY/APPROACH:: We used a cross-sectional, correlational survey design. The sample consisted of responders to the fifth wave of a multiyear study of new nurses in 2013 (N = 1,392; response rate of 69{\%}) who reported working as managers (n = 209). The parent study sample consisted of registered nurses who were licensed for the first time by exam 6–18 months prior in 1 of 51 selected metropolitan statistical areas and 9 rural areas across 34 U.S. states and the District of Columbia. We examined bivariate correlations between job satisfaction and 31 personal and structural variables. All variables significantly related to job satisfaction in bivariate analysis were included in a multivariate linear regression model. In addition, we tested the interaction effects of procedural justice and negative affectivity, autonomy, and organizational constraints on job satisfaction. The Cronbach’s alphas for all multi-item scales ranged from .74 to .96. FINDINGS:: In the multivariate analysis, negative affectivity (β = −.169; p = .006) and procedural justice (β = .210; p = .016) were significantly correlated with job satisfaction. The combination of predictors in the model accounted for half of the variability in job satisfaction ratings (R = .51, adjusted R = .47; p",
author = "Maja Djukic and Jin Jun and Christine Kovner and Carol Brewer and Jason Fletcher",
year = "2016",
month = "1",
day = "13",
doi = "10.1097/HMR.0000000000000102",
language = "English (US)",
journal = "Health Care Management Review",
issn = "0361-6274",
publisher = "Lippincott Williams and Wilkins",

}

TY - JOUR

T1 - Determinants of job satisfaction for novice nurse managers employed in hospitals

AU - Djukic, Maja

AU - Jun, Jin

AU - Kovner, Christine

AU - Brewer, Carol

AU - Fletcher, Jason

PY - 2016/1/13

Y1 - 2016/1/13

N2 - BACKGROUND:: Numbering close to 300,000 nurse managers represent the largest segment of the health care management workforce. Their effectiveness is, in part, influenced by their job satisfaction. PURPOSE:: We examined factors associated with job satisfaction of novice frontline nurse managers. METHODOLOGY/APPROACH:: We used a cross-sectional, correlational survey design. The sample consisted of responders to the fifth wave of a multiyear study of new nurses in 2013 (N = 1,392; response rate of 69%) who reported working as managers (n = 209). The parent study sample consisted of registered nurses who were licensed for the first time by exam 6–18 months prior in 1 of 51 selected metropolitan statistical areas and 9 rural areas across 34 U.S. states and the District of Columbia. We examined bivariate correlations between job satisfaction and 31 personal and structural variables. All variables significantly related to job satisfaction in bivariate analysis were included in a multivariate linear regression model. In addition, we tested the interaction effects of procedural justice and negative affectivity, autonomy, and organizational constraints on job satisfaction. The Cronbach’s alphas for all multi-item scales ranged from .74 to .96. FINDINGS:: In the multivariate analysis, negative affectivity (β = −.169; p = .006) and procedural justice (β = .210; p = .016) were significantly correlated with job satisfaction. The combination of predictors in the model accounted for half of the variability in job satisfaction ratings (R = .51, adjusted R = .47; p

AB - BACKGROUND:: Numbering close to 300,000 nurse managers represent the largest segment of the health care management workforce. Their effectiveness is, in part, influenced by their job satisfaction. PURPOSE:: We examined factors associated with job satisfaction of novice frontline nurse managers. METHODOLOGY/APPROACH:: We used a cross-sectional, correlational survey design. The sample consisted of responders to the fifth wave of a multiyear study of new nurses in 2013 (N = 1,392; response rate of 69%) who reported working as managers (n = 209). The parent study sample consisted of registered nurses who were licensed for the first time by exam 6–18 months prior in 1 of 51 selected metropolitan statistical areas and 9 rural areas across 34 U.S. states and the District of Columbia. We examined bivariate correlations between job satisfaction and 31 personal and structural variables. All variables significantly related to job satisfaction in bivariate analysis were included in a multivariate linear regression model. In addition, we tested the interaction effects of procedural justice and negative affectivity, autonomy, and organizational constraints on job satisfaction. The Cronbach’s alphas for all multi-item scales ranged from .74 to .96. FINDINGS:: In the multivariate analysis, negative affectivity (β = −.169; p = .006) and procedural justice (β = .210; p = .016) were significantly correlated with job satisfaction. The combination of predictors in the model accounted for half of the variability in job satisfaction ratings (R = .51, adjusted R = .47; p

UR - http://www.scopus.com/inward/record.url?scp=84954349246&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84954349246&partnerID=8YFLogxK

U2 - 10.1097/HMR.0000000000000102

DO - 10.1097/HMR.0000000000000102

M3 - Article

JO - Health Care Management Review

JF - Health Care Management Review

SN - 0361-6274

ER -