Evidence map›Paper›PMID 35601037›Full record

ArticleHealth science reports2022

Tools supporting polypharmacy management in Italy: Factors determining digital technologies' intention to use in clinical practice.

Elisabetta Catrini, Lucrezia Ferrario, Antonino Mazzone, Luca Varalli, Federico Gatti, Lorella Cannavacciuolo, Cristina Ponsiglione, Emanuela Foglia

Abstract read
In one paragraph

Article in Health science reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Implementation of Health Information Systems to Improve Patient Identification.International journal of environmental research and public health · 2022
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Elisabetta CatriniCentre for Health Economics, Social and Health Care Managament, LIUC Business School LIUC Università Cattaneo Castellanza Varese Italy.
Lucrezia FerrarioCentre for Health Economics, Social and Health Care Managament, LIUC Business School LIUC Università Cattaneo Castellanza Varese Italy.ORCID 0000-0002-8561-898X
Antonino MazzoneInternal Medicine Department ASST Ovest Milanese Legnano Italy.
Luca VaralliPharmaceutical Department ASST Ovest Milanese Legnano Italy.
Federico GattiPharmaceutical Department ASST Ovest Milanese Legnano Italy.
Lorella CannavacciuoloDepartment of Industrial Engineering University of Naples Federico II Naples Italy.
Cristina PonsiglioneDepartment of Industrial Engineering University of Naples Federico II Naples Italy.
Emanuela FogliaCentre for Health Economics, Social and Health Care Managament, LIUC Business School LIUC Università Cattaneo Castellanza Varese Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 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.

Indexed as

clinical appropriatenessdigital technologydrug–drug interactionsINTERCheckWEBpolypharmacyTechnology Acceptance Model

Identifiers

PMID35601037
PMCPMC9117970

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.