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Analysis of institutional authors

Fico GCorresponding AuthorHernanzez LAuthorOttaviano MAuthorArredondo MAuthor

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September 4, 2019
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Article

What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project

Publicated to: Bmc Medical Informatics And Decision Making. 19 (1): 163- - 2019-08-16 19(1), DOI: 10.1186/s12911-019-0887-8

Authors:

Fico, Giuseppe; Hernanzez, Liss; Cancela, Jorge; Dagliati, Arianna; Sacchi, Lucia; Martinez-Millana, Antonio; Posada, Jorge; Manero, Lidia; Verdu, Jose; Facchinetti, Andrea; Ottaviano, Manuel; Zarkogianni, Konstantia; Nikita, Konstantina; Groop, Leif; Gabriel-Sanchez, Rafael; Chiovato, Luca; Traver, Vicente; Francisco Merino-Torres, Juan; Cobelli, Claudio; Bellazzi, Riccardo; Teresa Arredondo, Maria
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Affiliations

Asociac Espanola Desarrollo Epidemiol Clin, Madrid, Spain - Author
Asociación Española para El Desarrollo de la Epidemiología Clínica - Author
Hosp La Fe, Valencia, Spain - Author
Hospital Universitari I Politècnic la Fe - Author
Istituti Clinico Scientifici Maugeri Hospital of Pavia - Author
Lund Univ, Ctr Diabet, Malmo, Sweden - Author
Lund University Diabetes Centre - Author
Maugeri Hosp Pavia, Ist Clin Sci, Pavia, Italy - Author
Medtron Iber, Madrid, Spain - Author
MEDTRONIC IBERICA, S.A. - Author
National Technical University of Athens - Author
Natl Tech Univ Athens, Athens, Greece - Author
Univ Manchester, Manchester, Lancs, England - Author
Univ Padua, Padua, Italy - Author
Univ Pavia, Pavia, Italy - Author
Univ Politecn Madrid, Madrid, Spain - Author
Univ Politecn Valencia, Valencia, Spain - Author
Universidad Politécnica de Madrid - Author
Universitá degli Studi di Padova - Author
Universita degli Studi di Pavia - Author
Universitat Politècnica de València - Author
University of Manchester - Author
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Abstract

© 2019 The Author(s). Background: To understand user needs, system requirements and organizational conditions towards successful design and adoption of Clinical Decision Support Systems for Type 2 Diabetes (T2D) care built on top of computerized risk models. Methods: The holistic and evidence-based CEHRES Roadmap, used to create eHealth solutions through participatory development approach, persuasive design techniques and business modelling, was adopted in the MOSAIC project to define the sequence of multidisciplinary methods organized in three phases, user needs, implementation and evaluation. The research was qualitative, the total number of participants was ninety, about five-seventeen involved in each round of experiment. Results: Prediction models for the onset of T2D are built on clinical studies, while for T2D care are derived from healthcare registries. Accordingly, two set of DSSs were defined: the first, T2D Screening, introduces a novel routine; in the second case, T2D Care, DSSs can support managers at population level, and daily practitioners at individual level. In the user needs phase, T2D Screening and solution T2D Care at population level share similar priorities, as both deal with risk-stratification. End-users of T2D Screening and solution T2D Care at individual level prioritize easiness of use and satisfaction, while managers prefer the tools to be available every time and everywhere. In the implementation phase, three Use Cases were defined for T2D Screening, adapting the tool to different settings and granularity of information. Two Use Cases were defined around solutions T2D Care at population and T2D Care at individual, to be used in primary or secondary care. Suitable filtering options were equipped with attractive visual analytics to focus the attention of end-users on specific parameters and events. In the evaluation phase, good levels of user experience versus bad level of usability suggest that end-users of T2D Screening perceived the potential, but they are worried about complexity. Usability and user experience were above acceptable thresholds for T2D Care at population and T2D Care at individual. Conclusions: By using a holistic approach, we have been able to understand user needs, behaviours and interactions and give new insights in the definition of effective Decision Support Systems to deal with the complexity of T2D care.
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Keywords

computerized decision support systemshuman centred designmulti-disciplinary approachrisk modellingAdultAgedComputer simulationComputerized decision support systemsDecision support systems, clinicalDiabetes mellitus, type 2FemaleHuman centred designHumansMaleMass screeningMiddle agedMulti-disciplinary approachRisk assessmentRisk modellingSoftwareTelemedicineType 2 diabetes

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Bmc Medical Informatics And Decision Making due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2019, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Health Informatics.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-12-21:

  • Google Scholar: 15
  • WoS: 7
  • Scopus: 8
  • Europe PMC: 1
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-12-21:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 121.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 125 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 2.
  • The number of mentions on the social network X (formerly Twitter): 2 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Greece; Italy; Sweden; United Kingdom.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (FICO, GIUSEPPE) and Last Author (ARREDONDO WALDMEYER, MARIA TERESA).

the author responsible for correspondence tasks has been FICO, GIUSEPPE.

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