Here are the most important project results of the NursingAI consortium. All project outputs are available on an open access basis, under the license Creative Commons Attribution 4.0 International.
All public outputs are deposited in Zenodo (see links below), in order to secure lasting storage (with stable DOIs) and continous open access worldwide.
The NursingAI framework for technology-related competencies for nursing practice (IO 1)
The NursingAI framework for technology-related competencies for nursing practice (TCNP) was developed in international and interprofessional collaboration. It is a dynamic document, divided into four core domains in terms of technology literacy, which are based on the nursing process.
The framework is available in 4 languages: English, German, Dutch and Hungarian
Autonomous Technologies in Nursing Practice (ATNP) survey (IO2)
NursingAI project developed and validated the Autonomous Technologies in Nursing Practice (ATNP) scale, to carry our the survey. long and short versions. The scale is available in 4 languages: English, German, Dutch and Hungarian
Development of the Autonomous Technologies in Nursing Practice Scale: Preliminary Results (IO2)
Aims: The aim of the study was to develop and psychometrically test the Autonomous Technologies in Nursing Practice scale for measuring self-assessed ability of nurses to deal with autonomous technologies in nursing practice.
Design: Cross-sectional survey design was used for data collection.
Methods: Item generation and selection was conducted based on cultural decentring principle by nursing experts in Germany, Hungary, and the Netherlands. The data was collected in Germany (n = 104) in June 2020 and Hungary (n = 700) in November 2019 - January 2020, the participants were nurses and nursing undergraduates. The best functioning items were selected in the process of item analysis and differential item functioning analysis, and psychometric properties of the resulting scale were evaluated.
Results: The resulting scale is a 16-item unidimensional instrument demonstrating good item functioning, homogeneity and internal consistency reliability.
Conclusion: The current version of the scale, which showed good psychometric properties, can be used by nursing professionals to evaluate their self-assessed ability to deal with autonomous technologies in nursing practice, or can be further developed by researchers.
Impact: This study addresses the problem of lack of psychometric instruments evaluating self-assessed ability of nurses to deal with autonomous technologies. A unidimensional scale, the Autonomous Technologies in Nursing Practice scale, was developed and psychometrically tested by the authors. The scale can be useful for nursing professionals, while researchers might benefit from our data analytic procedures outlined in the text and in our freely available R script.
ATNP pre/post intervention report (IO4)
This is the evaluation report on using the ATNP scale (IO2) in NursingAI interventions carried out in IO3. The interventions took place in 3 countries (Germany, Hungary and the Netherlands).