Tools supporting polypharmacy management in Italy: Factors determining digital technologies' intention to use in clinical practice. Issue 3 (19th May 2022)

• Record Type: Journal Article
• Authors: Catrini, Elisabetta; Ferrario, Lucrezia; Mazzone, Antonino; Varalli, Luca; Gatti, Federico; Cannavacciuolo, Lorella; Ponsiglione, Cristina; Foglia, Emanuela
• Is Part Of: Health science reports. Volume 5:Issue 3(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-05-19
• Subjects: clinical appropriateness -- digital technology -- drug–drug interactions -- INTERCheckWEB -- polypharmacy -- Technology Acceptance Model; 610
• DOI: 10.1002/hsr2.647
• Languages: English
• ISSNs: 2398-8835

Abstract

Abstract: Background and Aims: INTERCheckWEB is one of the most outstanding digital technologies, that could be implemented at the hospital level, supporting the clinicians in the evaluation of the therapy appropriateness, reducing the potentially inappropriate prescriptions, for the improvement of the clinical decision‐making process. The paper aims at investigating the relationship between clinicians' behaviors towards digital decision support system in therapy appropriateness for elderly patients in polytherapy in medical departments, defining the factors that could influence clinicians to use INTERCheckWEB, for supporting drugs' prescription. Methods: A questionnaire was administered to 70 clinicians referring to Internal Medicine wards, of four Italian hospitals. The authors assessed how perceived usefulness, perceived ease of use, image, and output quality, would affect INTERCheckWeb intention to use. Inferential statistics, by means of a regression analysis, were conducted to define the main aspects useful to understand the factors impacting on such digital technology adoption in clinical practice. Results: The regression analysis reported that image, perceived ease of use and perceived usefulness, as well as the moderator effect of the voluntary use between the perceived usefulness and the intention to use, are the factors that most influence the use of INTERCheckWEB (adjusted R 2 = 0.870). Conclusions: Results demonstrated that clinicians would use INTERCheckWEB, when available, to identify all the information on situations that could be dangerous for the patients, thus limiting the drug–drug interactions, optimizing the overall patient's clinical pathway. Furthermore, the implementation of INTERCheckWEB could also contribute to the proper management of COVID‐19 patients, since both hospitalized and symptomatic COVID‐19 patients are frequently older, with comorbidities.