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In China, nursing information systems (NIS) implementation can face numerous barriers to acceptance, including the attitudes of potential users. However, few studies have evaluated this acceptance.
The aim of this study was to explain the acceptance of NIS utilizing a survey based on unified theory of acceptance and use of technology.
A multi-center cross-sectional study utilizing an online survey was conducted. SPSS AMOS was used to conduct a structural equation modelling analysis. This research followed the STROBE Checklist.
A total of 3973 Nurses participated in the study between January 2023 and March 2023. The acceptance of NIS among nurses was overall moderate to high. The proposed model has been rigorously tested and validated using empirical data, ensuring its credibility and dependability. Performance expectancy (PE), social influence (SI), and attitude significantly and positively affected intentions to use NIS. Effort expectancy (EE) did not show any significant effects in the sample. Facilitating conditions (FCs) was found to have a negative relationship with the intention to use NIS. There was a statistically significant difference BI between the different age groups, working years, and computer training experience. The model demonstrates a good fit with the observed data.
This study identified PE, SI, and attitude as facilitators of nurses' intentions to use NIS. The findings about EE indicates that the ease of using NIS does not seem to be a concern among nurses. Moreover, high FC might be perceived as indicative of a complex system or extensive usage, that can lead to increased workload and reduced behavioural intention (BI). The significant differences in BI among various demographic groups highlight the need for more studies understanding the preferences and barriers faced by different, levels of experience and training backgrounds.
No patient or public contribution.
This study explored the impact of different care modes on the outcome of hospitalized patients with acute ischaemic stroke (AIS) during hospitalization and 3 months after discharge.
This was a prospective cohort study comparing the outcomes at hospitalization, at discharge, and at 3 months post discharge among AIS patients with different caregiving arrangements from 9, December 2022 to 20, August 2023. The general information questionnaire, Modified Barthel Index, Shortened General Comfort Questionnaire, Perceived Social Support scale, Herth Hope Index, modified Rankin scale and EQ-5D-5L were utilized for the investigation.
The psychological evaluation scores during hospitalization, including comfort, perceived social support, and hope, did not significantly differ between the two groups of AIS patients (p > .05). Moreover, there were no significant impacts observed in terms of length of stay (LOS) at the hospital or hospitalization expense (p > .05). The proportion of patients with intact functionality was greater in the family caregiver group 3 months after discharge (16.5%). However, when stratified based on prognosis, the difference in outcomes between the two groups of patients did not reach statistical significance (p > .05). The analysis of ADL, quality of life and stroke recurrence in 276 surviving ischaemic stroke patients 3 months post discharge indicated no differences between the two groups across all three aspects (p > .05).
Older and divorced or widowed AIS patients tend to prefer professional caregivers. The psychological state during hospitalization, length of hospital stay and hospitalization expenses are not influenced by the caregiving model. Three months post discharge, a greater proportion of patients in the family caregiving group had intact mRS functionality, but this choice did not impact patient prognosis, stroke recurrence, quality of life or independence in ADL.
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