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      Safety Culture, Patient Safety, and Quality of Care Outcomes: A Literature Review

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          Abstract

          This integrative literature review was conducted to examine the relationships between safety culture and patient safety and quality of care outcomes in hospital settings and to identify directions for future research. Using a search of six electronic databases, 17 studies that met the study criteria were selected for review. This review revealed semantic inconsistencies, infrequent use of a theory or theoretical framework, limited discussions of validity of instruments used, and significant methodological variations. Most notably, this review identified a large array of nonsignificant and inconsistent relationships between safety culture and patient safety and quality of care outcomes. To improve understanding of the relationships, investigators should consider using a theoretical framework and valid measures of the key concepts. Researchers should also give more attention to selecting appropriate sampling and data collection methods, units of analysis, levels of data measurement and aggregation, and statistical analyses.

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          From the Editors: Common method variance in international business research

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            The Safety Attitudes Questionnaire: psychometric properties, benchmarking data, and emerging research

            Background There is widespread interest in measuring healthcare provider attitudes about issues relevant to patient safety (often called safety climate or safety culture). Here we report the psychometric properties, establish benchmarking data, and discuss emerging areas of research with the University of Texas Safety Attitudes Questionnaire. Methods Six cross-sectional surveys of health care providers (n = 10,843) in 203 clinical areas (including critical care units, operating rooms, inpatient settings, and ambulatory clinics) in three countries (USA, UK, New Zealand). Multilevel factor analyses yielded results at the clinical area level and the respondent nested within clinical area level. We report scale reliability, floor/ceiling effects, item factor loadings, inter-factor correlations, and percentage of respondents who agree with each item and scale. Results A six factor model of provider attitudes fit to the data at both the clinical area and respondent nested within clinical area levels. The factors were: Teamwork Climate, Safety Climate, Perceptions of Management, Job Satisfaction, Working Conditions, and Stress Recognition. Scale reliability was 0.9. Provider attitudes varied greatly both within and among organizations. Results are presented to allow benchmarking among organizations and emerging research is discussed. Conclusion The Safety Attitudes Questionnaire demonstrated good psychometric properties. Healthcare organizations can use the survey to measure caregiver attitudes about six patient safety-related domains, to compare themselves with other organizations, to prompt interventions to improve safety attitudes and to measure the effectiveness of these interventions.
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              Work system design for patient safety: the SEIPS model.

              Models and methods of work system design need to be developed and implemented to advance research in and design for patient safety. In this paper we describe how the Systems Engineering Initiative for Patient Safety (SEIPS) model of work system and patient safety, which provides a framework for understanding the structures, processes and outcomes in health care and their relationships, can be used toward these ends. An application of the SEIPS model in one particular care setting (outpatient surgery) is presented and other practical and research applications of the model are described.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Western Journal of Nursing Research
                West J Nurs Res
                SAGE Publications
                0193-9459
                1552-8456
                February 2019
                December 15 2017
                February 2019
                : 41
                : 2
                : 279-304
                Affiliations
                [1 ]University of Massachusetts, Lowell, MA, USA
                [2 ]University of Wisconsin, Madison, WI, USA
                [3 ]University of British Columbia, Vancouver, BC, Canada
                [4 ]University of Illinois at Chicago, IL, USA
                Article
                10.1177/0193945917747416
                29243563
                011dc6e6-5911-440f-ad0a-8fa0b31b6788
                © 2019

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

                History

                Quantitative & Systems biology,Biophysics
                Quantitative & Systems biology, Biophysics

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