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1.
JMIR Form Res ; 7: e45913, 2023 Apr 13.
Article in English | MEDLINE | ID: mdl-37052992

ABSTRACT

BACKGROUND: This study focuses on the potential of health big data in the South Korean context. Despite huge data reserves and pan-government efforts to increase data use, the utilization is limited to public interest research centered in public institutions that have data. To increase the use of health big data, it is necessary to identify and develop measures to meet the various demands for such data from individuals, private companies, and research institutes. OBJECTIVE: The aim of this study was to identify the perceptions of and demands for health big data analysis and use among workers in health care-related occupations and to clarify the obstacles to the use of health big data. METHODS: From May 8 to May 18, 2022, we conducted a web-based survey among 390 health care-related workers in South Korea. We used Fisher exact test and analysis of variance to estimate the differences among occupations. We expressed the analysis results by item in frequency and percentage and expressed the difficulties in analyzing health big data by mean and standard deviation. RESULTS: The respondents who revealed the need to use health big data in health care work-related fields accounted for 86.4% (337/390); 65.6% (256/390) of the respondents had never used health big data. The lack of awareness about the source of the desired data was the most cited reason for nonuse by 39.6% (153/386) of the respondents. The most cited obstacle to using health big data by the respondents was the difficulty in data integration and expression unit matching, followed by missing value processing and noise removal. Thus, the respondents experienced the greatest difficulty in the data preprocessing stage during the health big data analysis process, regardless of occupation. Approximately 91.8% (358/390) of the participants responded that they were willing to use the system if a system supporting big data analysis was developed. As suggestions for the specific necessary support system, the reporting and provision of appropriate data and expert advice on questions arising during the overall process of big data analysis were mentioned. CONCLUSIONS: Our findings indicate respondents' high awareness of and demand for health big data. Our findings also reveal the low utilization of health big data and the need to support health care workers in their analysis and use of such data. Hence, we recommend the development of a customized support system that meets the specific requirements of big data analysis by users such as individuals, nongovernmental agencies, and academia. Our study is significant because it identified important but overlooked failure factors. Thus, it is necessary to prepare practical measures to increase the utilization of health big data in the future.

2.
J Nurs Scholarsh ; 54(3): 367-375, 2022 05.
Article in English | MEDLINE | ID: mdl-34773356

ABSTRACT

PURPOSE: The purpose of this study was to understand the mediating effect of workplace incivility on the relationship between nursing organizational culture and turnover intention among nurses. DESIGN: A descriptive survey was used to collect data. The participants were 170 nurses with more than six months of clinical experience at university hospitals or hospitals with over 500 beds in South Korea. METHODS: Data were collected using self-report questionnaires. Collected data were analyzed using descriptive statistics, t-test, ANOVA, Scheffé test, and Pearson's correlation. Baron and Kenny's three-step hierarchical regression analysis and the Sobel test were used to determine the mediating effect of workplace incivility on the relationship between nursing organizational culture and nurses' turnover intention. RESULTS: This study found a full mediating effect of workplace incivility on the association between relationship-oriented culture and turnover intention (Z = -3.02, p = 0.003) and a partial mediating effect of workplace incivility on the association between hierarchy-oriented culture and turnover intention (Z = 2.36, p = 0.018). CONCLUSION: This study empirically confirmed that nursing organizational culture and workplace incivility directly or indirectly influenced turnover intention, which highlights the seriousness of workplace incivility. CLINICAL RELEVANCE: This study suggests that there is a need to establish a concrete strategy to avoid a hierarchy-oriented culture and create a relationship-oriented culture. It is important to develop a variety of intervention programs to reduce workplace incivility in order to prevent nurses' turnover.


Subject(s)
Incivility , Nursing Staff, Hospital , Cross-Sectional Studies , Hospitals, University , Humans , Intention , Job Satisfaction , Organizational Culture , Personnel Turnover , Republic of Korea , Surveys and Questionnaires , Workplace
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