Cultural Impact on the Intention to Use Nursing Information Systems of Nurses in Taiwan and China: Survey and Analysis.

BACKGROUND: Nursing workforce shortage has emerged as a global problem. Foreign nurse importation is a popular strategy to address the shortage. The interactions between nursing staff on either side of the Taiwan Strait continue to increase. Since both nurses in Taiwan and nurses in China have adopted nursing information systems to improve health care processes and quality, it is necessary to investigate factors influencing nursing information system usage in nursing practice. OBJECTIVE: This study examined the effects of cultural and other related factors on nurses' intentions to use nursing information systems. The findings were expected to serve as an empirical base for further benchmarking and management of cross-strait nurses. METHODS: This survey was conducted in two case hospitals (one in Taiwan and one in China). A total of 880 questionnaires were distributed (n=440 in each hospital). RESULTS: The results showed effort expectancy had a significant effect on the intention to use nursing information systems of nurses in China (P=.003) but not nurses in Taiwan (P=.16). CONCLUSIONS: Findings suggest nursing managers should adopt different strategies to motivate cross-strait nurses to use nursing information systems. Promoting effort expectancy is more likely to motivate nurses in China than in Taiwan. This discrepancy is probably due to the less hierarchical and more feminine society in Taiwan.

The inhibiting effects of resistance to change of disability determination system: a status quo bias perspective.

BACKGROUND: Information systems implementation projects have been historically plagued by failures for which user resistance has consistently been identified as a salient reason. Most prior studies investigated either the causes or the consequences of Resistance to Change (RTC) of medical related Information Systems. In this study, we simultaneously explore the causes and impacts of RTC of Disability Determination System (DDS). METHODS: This study adopts the Status Quo Bias perspective and combines the information systems usage model and Technology Acceptance Model (TAM) as theoretical foundation to investigates the causes and impacts of users' RTC on their intention to use the DDS. Data were obtained through internet questionnaire survey. Totally, 326 respondents from 22 local governments and 142 hospitals were collected, of which 252 were valid samples and were analyzed using structure model analysis. RESULTS: The research model is proved with eight out of 11 hypotheses being supported. The antecedents of RTC can explain 21.4% of the RTC variation, and the RTC impacts can explain 57.5% of the variation of intention to use DDS. CONCLUSIONS: Combining the Status Quo Bias perspective and key component of TAM provides an adequate explanation of adopting intention of changing systems and extend the existing knowledge of information systems adoption. The results provide as a reference for managing users' RTC and enhance the effects and efficiency of new systems adoption.

Impact of Using the Intelligent Physical Health Measurement System on Active Aging: A Survey in Taiwan.

BACKGROUND: In Taiwan, the Chiayi City Government and Industrial Development Bureau of the Ministry of Economic Affairs have worked together to promote smart health management in the community and encourage people to use the intelligent physical health measurement system (IPHMS) with Smart Body Health Measuring Machine. Volunteers help participants in the community to use the IPHMS to ensure that measurements are taken correctly. OBJECTIVES: This study aimed to explore volunteers' satisfaction with using the IPHMS and the effects of the measurement service on the participants' measurement behavior intention, and further explore the impact on their active aging. METHODS: This study used a paper questionnaire to survey both the participants of the measurement service and the community volunteers from March to April 2021. A total of 180 valid responses were collected. RESULTS: The sociodemographic information showed that the volunteers were mostly female, were aged over 61 years old, had received junior college education, had spent less than 3-6 years in community service, and had 6 months to 1 year of measured service experience. Additionally, the participants of the measurement service were mostly female, were aged over 61 years old, had received below middle school education, had spent less than 1-3 years in community service, and spent an average of 5 days in the community each week. Our results showed that the information quality (ß = 0.352, p < 0.001) and system quality (ß = 0.701, p < 0.001) had significant effects on volunteers' satisfaction of using the IPHMS. Subjective norms had significant effects on participants' perceived disease threat (ß = 0.347, p < 0.001) and behavior intention of management service (ß = 0.701, p < 0.001); furthermore, behavior intention had significant effects on their social participation for active aging (ß = 0.430, p < 0.05). CONCLUSIONS: Improving the system and information quality is likely to improve volunteers' satisfaction with the system. Active aging factors only affect social participation, which represents the measurement services promote for social interaction mostly.