Theoretical integration of user satisfaction and technology acceptance of the nursing process information system.

BackgroundThe nursing process system (NPS) is used to establish the nursing process involving assessment, diagnosis, planning, intervention, and evaluation in solving the health problems of patients.ObjectivesThe factors influencing the use of the NPS by nurses were analyzed based on user satisfaction and technology acceptance within the 3Q (service quality, information quality, and system quality) model.MethodsIn this cross-sectional quantitative study, the valid responses of 222 nurses to a questionnaire were obtained; these nurses worked at eight hospitals affiliated with public organizations in Taiwan. Structural equation modeling was used to analyze information quality, system quality, service quality, user satisfaction, perceived usefulness, perceived ease of use, perceived enjoyment, behavioral attitude, and intention after the nurses had used the NPS system for more than 1 month.ResultsInformation quality, service quality, and system quality influenced user satisfaction. User satisfaction affected perceived usefulness, perceived ease of use, and perceived enjoyment and had the highest explanatory power (R2 = 0.75). Furthermore, perceived usefulness, perceived ease of use, and perceived enjoyment influenced behavioral attitude and intention to use the system. The proposed model explained 53% of the variance in the intention to use the NPS.ConclusionsThe relationships between the variables of the 3Q model were successfully used to examine the intention of nurses toward using the NPS. Using the findings of this study, designers and programmers can comprehensively understand the perceptions of nurses and further improve the performance of the NPS

Design and evaluation of a knowledge-based clinical decision support system for the psychiatric nursing process

[[abstract]]Background and objectives: The nursing assessment in the psychiatric department differ from those used in other departments considerably. We developed a psychiatric knowledge-based clinical decision support system (Psy-KBCDSS), which may aid nurses in solving patients' problems in the psychiatric department. In addition, we compared the sensitivity and specificity for the nursing diagnoses between the psychiatric nursing process system (Psy-NPS) and Psy-KBCDSS to determine that the Psy-KBCDSS can assist nurses in performing the nursing assessment and diagnosis. Methods: Visual Studio 2019 was adopted as the primary software development tool, and C# as the main development language. The concept of the nursing process was applied to develop the Psy-KBCDSS user interface. We developed a clinical diagnostic validity inference engine to calculate the frequencies of the nursing assessment items and nursing diagnoses in clinical tasks in the Psy-NPS for generating a knowledge-based database of the Psy-KBCDSS. The sensitivity and specificity for nursing diagnoses formulated by senior and junior nurses were used to determining the effectiveness of adopting Psy-NPS and Psy-KBCDSS. Results: This study include 22 nursing diagnoses commonly encountered in psychiatric wards. The top eight most common diagnoses in the Psy-NPS and Psy-KBCDSS were altered thought processes, ineffective coping, sensory and perceptual alterations, insomnia, risk for other-directed violence, anxiety, impaired social interaction, and risk for suicide. Compared with the Psy-NPS, the Psy-KBCDSS had significantly higher sensitivity for sensory and perceptual alterations, ineffective coping, and insomnia and significantly higher specificity for ineffective coping. Conclusions: Considering its high sensitivity and specificity for various nursing diagnoses, the Psy-KBCDSS, as an empirical patient-oriented nursing clinical decision-making support system, can assist nurses in clinical nursing tasks including nursing process-based patient assessment and nursing diagnosis

Structural, electrical, and optical properties of carbon nanotube-incorporated Aldopedzinc oxide thin films prepared by sol-gel method

Aluminum-doped zinc oxide (AZO) thin films incorporated with multi-walled carbon nanotubes (MWCNTs) have beenprepared by sol-gel technique on glass substrates. The ratio of the MWCNT in sol-gel solution ranges from 0.01 to 1.0 wt.%.This study investigates the effects of MWCNT ratio on structural, electrical, and optical properties of AZO:MWCNT thinfilms. The XRD analysis showed a strong (0 0 2) peak along the c axis at 2θ ~ 34.4 o indicating a hexagonal wurtzite structurefor the AZO:MWCNT thin films. The intensity of (0 0 2) peak decreased with the increasing MWCNT ratio, revealing thatAZO were bounding with the MWCNTs. The sheet resistance of AZO:MWCNT thin films significantly decreased from1.38 × 104 to 10.5 Ω/□ with increasing the MWCNT ratio from 0.01 to 1.0 wt.%; meanwhile, the optical transmittance in thevisible wavelength region decreased from 87.9% to 12.1%, respectively. The figure of merit showed that the developedAZO : MWCNT thin film with the MWCNT ratio of 0.01 wt.% has the optimal electro-optical properties for transparentconducting electrode applications