Literature DB >> 28339641

Measuring job satisfaction among healthcare staff in the United States: a confirmatory factor analysis of the Satisfaction of Employees in Health Care (SEHC) survey.

Eva Chang1, Julia Cohen1, Benjamin Koethe1, Kevin Smith1, Anupa Bir1.   

Abstract

OBJECTIVE: To validate the Satisfaction of Employees in Health Care (SEHC) survey with multidisciplinary, healthcare staff in the United States (U.S.).
DESIGN: A cross-sectional psychometric study using confirmatory factor analysis. The original three-factor model was tested and modified using half-samples. Models were assessed using goodness-of-fit measures. Scale reliability and validity were tested with Cronbach's α coefficient and correlation of total SEHC score with two global satisfaction items, respectively.
SETTING: We administered a web-based survey from January to May 2015 to healthcare staff participating in initiatives aimed at delivering better care and reducing costs. PARTICIPANTS: The overall response rate was 38% (N = 1089), and respondents were from 86 healthcare projects. A total of 928 respondents completed the SEHC survey in full and were used in this study. MAIN OUTCOME MEASURES: Model fit of 18 SEHC items and total SEHC score.
RESULTS: The mean SEHC score was 77.6 (SD: 19.0). A one-factor model of job satisfaction had high loadings on all items, and demonstrated adequate model fit (second half-sample RMSEA: 0.069). The scale demonstrated high reliability (Cronbach's alpha = 0.942) and validity (r = 0.77 and 0.76, both P < 0.05).
CONCLUSIONS: The SEHC appears to measure a single general job satisfaction construct. The scale has adequate reliability and validity to recommend its use to assess satisfaction among multidisciplinary, U.S. healthcare staff. Our findings suggest that this survey is a good candidate for reduction to a short-form, and future research should validate this survey in other healthcare populations.
© The Author 2017. Published by Oxford University Press in association with the International Society for Quality in Health Care. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

Entities:  

Keywords:  confirmatory factor analysis; healthcare workforce/staff; job satisfaction

Mesh:

Year:  2017        PMID: 28339641     DOI: 10.1093/intqhc/mzx012

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  4 in total

1.  Evaluation of Patient and Medical Staff Satisfaction regarding Healthcare Services in Wuhan Public Hospitals.

Authors:  Runtang Meng; Jingjing Li; Yunquan Zhang; Yong Yu; Yi Luo; Xiaohan Liu; Yanxia Zhao; Yuantao Hao; Ying Hu; Chuanhua Yu
Journal:  Int J Environ Res Public Health       Date:  2018-04-17       Impact factor: 3.390

2.  Implementation of family psychosocial risk assessment in pediatric cancer with the Psychosocial Assessment Tool (PAT): study protocol for a cluster-randomized comparative effectiveness trial.

Authors:  Anne E Kazak; Janet A Deatrick; Michele A Scialla; Eric Sandler; Rebecca E Madden; Lamia P Barakat
Journal:  Implement Sci       Date:  2020-07-29       Impact factor: 7.327

3.  Using Information and Communication Technologies to Engage Citizens in Health System Governance in Burkina Faso: Protocol for Action Research.

Authors:  Sandrine Biau; Emmanuel Bonnet; Christian Dagenais; Manuela De Allegri; Zoumana Traoré; Abdoul Wahabo Ouedraogo; Abdramane Sow; Karina Dubois-Nguyen; Valéry Ridde
Journal:  JMIR Res Protoc       Date:  2021-11-16

4.  Factors associated with depression and determining dimensions of job satisfaction among physicians in Bangladesh.

Authors:  Md Nazrul Islam; Dibbya Pravas Dasgupta; Naznin Sultana; Farhana Yesmine; Md Asaduzzaman; Mst Rokshana Rabeya; Kawsar Ahmed
Journal:  Heliyon       Date:  2022-09-09
  4 in total

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