Scientific Reports (Apr 2023)

The role of INTERCheckWEB digital innovation in supporting polytherapy management

  • Emanuela Foglia,
  • Lucrezia Ferrario,
  • Elisabetta Garagiola,
  • Federica Asperti,
  • Antonino Mazzone,
  • Federico Gatti,
  • Luca Varalli,
  • Cristina Ponsiglione,
  • Lorella Cannavacciuolo

DOI
https://doi.org/10.1038/s41598-023-32844-6
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 13

Abstract

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Abstract The study aims at defining the factors affecting the clinicians’ decision of changing or confirming the treatment options for frail patients in polytherapy, supporting prescribing patterns, thus also figuring out if the inclination of the clinicians towards digital solutions (INTERCheckWEB) and specific guidelines, could play a role in their decision. A literature review was performed, revealing the main individual, organizational and decisional factors, impacting on the clinicians’ propensity to change the current patients’ therapy: the clinician perceptions of support in case of clinical guidelines use or INTERCheckWEB use were studied. A qualitative approach was implemented, and thirty-five clinicians completed a questionnaire, aimed at evaluating fifteen different clinical cases, defining if they would change the patient’s current therapy depending on the level of information received. Three methodological approaches were implemented. (1) Bivariate correlations to test the relationships between variables. (2) Hierarchical sequential linear regression model to define the predictors of the clinician propensity to change therapy. (3) Fuzzy Qualitative Comparative Analysis—fsQCA, to figure out the combination of variables leading to the outcome. Patient’s age and autonomy (p value = 0.000), as well as clinician’s perception regarding IT ease of use (p value = 0.043) and seniority (p value = 0.009), number of drugs assumed by the patients (p value = 0.000) and number of concomitant diseases (p value = 0.000) are factors influencing a potential change in the current therapy. The fsQCA-crisp confirms that the clinical conditions of the patients are the driving factors that prompt the clinicians towards a therapy change.