The role of INTERCheckWEB digital innovation in supporting polytherapy management

被引:0
|
作者
Foglia, Emanuela [1 ]
Ferrario, Lucrezia [1 ]
Garagiola, Elisabetta [1 ]
Asperti, Federica [1 ]
Mazzone, Antonino [2 ]
Gatti, Federico [2 ]
Varalli, Luca [2 ]
Ponsiglione, Cristina [3 ]
Cannavacciuolo, Lorella [3 ]
机构
[1] LIUC Univ Cattaneo, LIUC Business Sch, Healthcare Datascience LAB, Corso Matteotti 22, I-21053 Castellanza, Varese, Italy
[2] ASST Ovest Milanese Hosp, Legnano, Milano, Italy
[3] Univ Naples Federico II, Dept Ind Engn, Naples, Italy
关键词
DECISION-MAKING; OLDER-PEOPLE; POLYPHARMACY; ORGANIZATION; TECHNOLOGY; ACCEPTANCE; HEURISTICS; GUIDELINES; EXPERIENCE; MODEL;
D O I
10.1038/s41598-023-32844-6
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:13
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