Li, Yinglan
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Predictors of nurses’ caring practice for critically ill patients in critical technological environments: A cross-sectional survey study Li, Yinglan; Kongsuwan , Waraporn
Belitung Nursing Journal Vol. 7 No. 6 (2021): November - December
Publisher : Belitung Raya Foundation, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33546/bnj.1794

Abstract

Background: Caring practice for critically ill patients refers to the actions/behaviors/performance of nurses while caring for critically ill adult patients in the intensive care unit (ICU). Although the caring practice is vital in ICUs and complex due to the multitude of availabletechnologies, research on ICU nurses’ caring practice and its predictive factors are lacking. Objective: This study aimed to explore the level of nurses’ caring practice for critically ill patients in critical technological environments in China and its predictors. Methods: This was a cross-sectional online survey study with 218 ICU nurses in 29 tertiary hospitals of Guizhou province, China, from 1st to 30th April 2020. Data were collected by using e-questionnaires made in the Questionnaire Star program, including the Demographic Data Questionnaire (DDQ), Practice of Technological Competency as Caring in Nursing Instrument (P-TCCNI), Influence of Technology Questionnaire (ITQ), and Nurses’ Professional Value Scale (NPVS). The questionnaires were content validated by three experts. Cronbach’s alpha coefficient was 0.96 for the P-TCCNI, 0.70 for the ITQ, and 0.95 for the NPVS. Links to the questionnaires were distributed by research assistants to WeChat groups including target participants. Statistical Package for the Social Science (SPSS) program version 26 (IBM Corporation, Armonk, NY, USA) was used for data analysis. Descriptive and inferential statistics were used to analyze the data. Multiple linear regression analysis using stepwise solution analysis was performed to identify unique predictors of nurses’ caring practice. Results: The level of nurses’ caring practice for critically ill patients was high (mean = 87.30, standard deviation = 13.73). The professional value was a significant predictor of nurses’ caring practice (β = 0.41, p = 0.00). Conclusion: ICU nurses exhibited a high level of caring practice. Professional value was a significant predictor of ICU nurses’ caring practice. Nursing administrators should understand the current situation of caring practice in critical technological environments and design strategies to maintain and improve ICU nurses’ professional value to increase the level of caring practice.
Assessing the Impact of Service Quality Dimensions on Customer Satisfaction in Budget Airlines Teoh, Kok Ban; Lok, Yee Huei; Kee, Lidwina Yi Ming; Li, Xuanting; Li, Yinglan; Li, Yuxin; Liao, Zhongkai; Neyaz, Fahad; Ali, Anees Jane; Kee, Daisy Mui Hung
Journal of The Community Development in Asia Vol 8, No 3 (2025): September 2025
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jcda.v8i3.4171

Abstract

In the highly competitive airline industry, budget carriers must focus on customer satisfaction as a critical strategy to sustain loyalty and differentiation. This study aims to investigate the factors influencing customer satisfaction with AirAsia in Malaysia, specifically examining the roles of price, service quality, food service, assurance, and empathy. A quantitative approach was employed using survey data collected from AirAsia passengers, and regression analysis was conducted to assess the influence of these variables. The results reveal that empathy, assurance, and food service significantly affect customer satisfaction, with empathy emerging as the strongest predictor (? = 0.480, p 0.01). Assurance also demonstrated a positive influence (? = 0.203, p 0.05), followed by food service (? = 0.178, p 0.1). Together, these variables explained 66.1% of the variance in customer satisfaction (R² = 0.661). In contrast, price (? = 0.059) and service quality (? = 0.069) showed no significant impact. These findings underscore the importance of prioritizing empathetic service, trust-building, and food quality enhancements over pricing strategies alone. The study provides both theoretical insights into customer satisfaction determinants in low-cost aviation and practical guidance for airlines seeking to strengthen customer experiences and maintain competitiveness.