What Determines the Use of Clinical Decision Support Systems in Nursing? Results of a Multiple Regression Analysis.

Autor: Kücking F; Health Informatics Research Group, Osnabrück University of Applied Science, Osnabrück Germany., Zukunft S; Health Informatics Research Group, Osnabrück University of Applied Science, Osnabrück Germany., Schell H; Munich Municipal Hospital Group gGmbH, Germany., Birkner C; Munich Municipal Hospital Group gGmbH, Germany., Rotegård AK; VAR Healthcare, Cappelen Damm, Oslo, Norway., Hüsers J; Health Informatics Research Group, Osnabrück University of Applied Science, Osnabrück Germany., Hübner UH; Health Informatics Research Group, Osnabrück University of Applied Science, Osnabrück Germany.
Jazyk: angličtina
Zdroj: Studies in health technology and informatics [Stud Health Technol Inform] 2024 Aug 30; Vol. 317, pp. 281-288.
DOI: 10.3233/SHTI240869
Abstrakt: Introduction: In nursing, professionals are expected to base their practice on evidence-based knowledge, however the successful implementation of this knowledge into nursing practice is not always assured. Clinical Decision Support Systems (CDSS) are considered to bridge this evidence-practice gap.
Methods: This study examines the extent to which evidence-based nursing (EBN) practices influence the use of CDSS and identifies what additional factors from acceptance theories such as UTAUT play a role.
Results and Discussion: Our findings from three regression models revealed that nursing professionals and nursing students who employ evidence-based practices are not more likely to use an evidence-based CDSS. The relationship between an EBN composite score (model 1) or is individual dimensions (model 2) and CDSS use was not significant. However, a more comprehensive model (model 3), incorporating items from the UTAUT such as Social Influences, Facilitating Conditions, Performance Expectancy, and Effort Expectancy, supplemented by Satisfaction demonstrated a significant variance explained (R2 = 0.279). Performance Expectancy and Satisfaction were found to be significantly associated with CDSS utilization.
Conclusion: This underscores the importance of user-friendliness and practical utility of a CDSS. Despite potential limitations in generalizability and a limited sample size, the results provide insights into that CDSS first and foremost underly the same mechanisms of use as other health IT systems.
Databáze: MEDLINE