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      Organizational Culture and Trust Affect the Team-BasedPractice and Job Satisfaction of Nurse Practitioners in Acute Care Hospitals: A National Survey

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          Abstract

          Background

          The link between organizational culture, organizational trust, job satisfaction, and team-based practice among nurse practitioners (NPs) has not been examined simultaneously.

          Aim

          To identify the effects of organizational culture, organizational trust, and other factors on NPs such as job satisfaction and team-based practice.

          Methods

          We used a cross-sectional design with a national sample. Data were collected using an online survey of 1,100 NPs working in acute care settings. The survey included demographic and working characteristics, the Organizational Culture Scale, the Organizational Trust Scale, the Misener Nurse Practitioner Job Satisfaction Scale (MNPJSS), and the NP-physician relations (NP-PR) subscale of the Nurse Practitioner Primary Care Organizational Climate (NP-PCOCQ). Multiple regression analysis with a stepwise selection method explored potential factors that influence job satisfaction and team-based practice.

          Results

          A learning environment, psychological safety, senior leadership support, commitment to the organization, and the organizational culture and trust were positively associated with higher job satisfaction, which accounted for 49.2% of the variance in NPs' job satisfaction. Organizational trust, commitment to the organization, and learning environment promoted better team-based practice significantly. Also, NPs working a fixed shift pattern showed higher levels of team-based practice. These factors accounted for 23.66% of variances in team-based practice.

          Conclusion

          Organizational culture and organizational trust affect the job satisfaction and team-based practice of NPs in acute care practices. Implications for Nursing Management. Acute care hospitals are encouraged to develop policies to enhance a learning environment, a supportive organizational culture, and trust in NPs' practice.

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          Most cited references67

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          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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            Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

            G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
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              An Introduction to Statistical Learning

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                Author and article information

                Contributors
                Journal
                J Nurs Manag
                J Nurs Manag
                JONM
                Journal of Nursing Management
                Hindawi
                0966-0429
                1365-2834
                2024
                16 January 2024
                : 2024
                : 2049627
                Affiliations
                1College of Nursing and Health Sciences, Da-Yeh University, Changhua, Taiwan
                2Department of General Surgery, China Medical University Beigang Hospital, Yunlin, Taiwan
                3Department of Nursing, Da-Yeh University, Changhua, Taiwan
                4School of Nursing, National Yang Ming Chiao Tung University, Taipei, Taiwan
                Author notes

                Academic Editor: Paolo C. Colet

                Author information
                https://orcid.org/0000-0002-5057-0250
                https://orcid.org/0000-0003-3419-9110
                https://orcid.org/0000-0003-4966-1224
                https://orcid.org/0000-0001-9843-9924
                Article
                10.1155/2024/2049627
                11918914
                d01e4da6-3cca-4fe8-8334-52c8020546a1
                Copyright © 2024 Sheng-Shiung Huang et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 February 2023
                : 21 August 2023
                : 15 December 2023
                Funding
                Funded by: Taiwan Association of Nurse Practitioners
                Categories
                Research Article

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