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Factors Influencing Nursing Informatics Competencies of Nurses in Sichuan
           University Hospitals, the People’s Republic of China


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           C. Chen,  T. Akkadechanunt,  P. Soivong,  and S. Sirakamon 1
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           Faculty of Nursing, Chiang Mai University, Thailand

           Background: With the rapid advancement of technology, the integration of Health Information
           Systems, wearable technologies, and Artificial Intelligence are transforming healthcare, significantly
           increasing the demand for Nursing Informatics Competencies (NIC).


           Objective: This descriptive predictive study aimed to determine the predictability of NIC among nurses
           from university hospitals in Sichuan that can be explained by personal factors including age, education
           level, years of working experience, general self-efficacy, nurses’ attitudes to computerization, and external
           environment factors including informatics training, informatics support, staff position, time of computer use
           at work, work setting, and access to the internet in the work setting.


           Methods: A web-based survey was conducted with 452 nurses from university hospitals in Sichuan,
                                                                                                                      Oral Presentation Abstracts
           China. The sample size was determined by the rule of thumb of 30 subjects per predictor. Data were
           collected by the following instruments: a demographic data form, the New General Self-Efficacy
           Scale (NGSES), the Nurses’ Attitudes Toward Computerization Questionnaire (NATC), and the Nursing
           Informatics Competencies Scale (SANIC). Descriptive statistics and stepwise regression with
           backward elimination were used for the data analysis.


           Results: Informatics training, general self-efficacy, education level, informatics support, and access
           to the internet in the work setting could predict 41.9% of the variability of NIC (R2 = 0.428, Adjusted R2 =
           0.419, F = 47.46, P < 0.001)


           Conclusion: This study revealed the predictors of NIC among nurses in university hospitals. It is recommended
           that nursing administrators prioritize the enhancement of informatics training and technological resources to
           support clinical nurses such as the Internet. Furthermore, strengthening self-efficacy and investing in higher
           education opportunities for nurses can significantly augment nurses’ abilities to adapt to rapid technological
           advancements in healthcare.


           Keywords: nursing informatics competencies, nursing management, influencing factors


           _____________________________________________________________________________________________________
           Correspondence: Thitinut Akkadechanunt, Faculty of Nursing, Chiang Mai University, Thailand
           E-mail: thitinut.a@cmu.ac.th











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