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      Development of a mobile application for vancomycin dosing calculation: A useful tool for the rational use of antimicrobials

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          Abstract

          Background

          Mobile applications (app) provide many benefits for healthcare professionals, making them a useful support clinical decision system.

          Objectives

          To describe the development of a mobile app, CalcVAN, to calculate vancomycin dosage regimens for adult and pediatric patients.

          Methods

          This study is a technological production research to develop a mobile app through the rapid prototyping type for the Android system in the Brazilian context. The mobile app structure was developed in four steps: 1) conception, including the needs assessment, the target audience, the literature search, and the definition of contents; 2) prototype planning, including the definition of topics and writing of modules, the selection of media, and the layout; 3) production of the mobile app, including the selection of multimedia tools, the navigation structure, and planning of environment configuration; and 4) make the mobile app available.

          Results

          The CalcVAN has six screens, containing the vancomycin dosing calculator for adult and pediatric patients based on weight and estimated creatinine clearance parameters. Moreover, the mobile app is free and can be used without internet connection.

          Conclusions

          A free mobile app was developed to calculate vancomycin dosage regimens for inpatients. This tool assists to optimize the vancomycin dosing, contributing to the antimicrobial stewardship.

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          Most cited references20

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          Community-associated methicillin-resistant Staphylococcus aureus: epidemiology and clinical consequences of an emerging epidemic.

          Staphylococcus aureus is an important cause of skin and soft-tissue infections (SSTIs), endovascular infections, pneumonia, septic arthritis, endocarditis, osteomyelitis, foreign-body infections, and sepsis. Methicillin-resistant S. aureus (MRSA) isolates were once confined largely to hospitals, other health care environments, and patients frequenting these facilities. Since the mid-1990s, however, there has been an explosion in the number of MRSA infections reported in populations lacking risk factors for exposure to the health care system. This increase in the incidence of MRSA infection has been associated with the recognition of new MRSA clones known as community-associated MRSA (CA-MRSA). CA-MRSA strains differ from the older, health care-associated MRSA strains; they infect a different group of patients, they cause different clinical syndromes, they differ in antimicrobial susceptibility patterns, they spread rapidly among healthy people in the community, and they frequently cause infections in health care environments as well. This review details what is known about the epidemiology of CA-MRSA strains and the clinical spectrum of infectious syndromes associated with them that ranges from a commensal state to severe, overwhelming infection. It also addresses the therapy of these infections and strategies for their prevention.
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            Mobile App Rating Scale: A New Tool for Assessing the Quality of Health Mobile Apps

            Background The use of mobile apps for health and well being promotion has grown exponentially in recent years. Yet, there is currently no app-quality assessment tool beyond “star”-ratings. Objective The objective of this study was to develop a reliable, multidimensional measure for trialling, classifying, and rating the quality of mobile health apps. Methods A literature search was conducted to identify articles containing explicit Web or app quality rating criteria published between January 2000 and January 2013. Existing criteria for the assessment of app quality were categorized by an expert panel to develop the new Mobile App Rating Scale (MARS) subscales, items, descriptors, and anchors. There were sixty well being apps that were randomly selected using an iTunes search for MARS rating. There were ten that were used to pilot the rating procedure, and the remaining 50 provided data on interrater reliability. Results There were 372 explicit criteria for assessing Web or app quality that were extracted from 25 published papers, conference proceedings, and Internet resources. There were five broad categories of criteria that were identified including four objective quality scales: engagement, functionality, aesthetics, and information quality; and one subjective quality scale; which were refined into the 23-item MARS. The MARS demonstrated excellent internal consistency (alpha = .90) and interrater reliability intraclass correlation coefficient (ICC = .79). Conclusions The MARS is a simple, objective, and reliable tool for classifying and assessing the quality of mobile health apps. It can also be used to provide a checklist for the design and development of new high quality health apps.
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              Mobile devices and apps for health care professionals: uses and benefits.

              Health care professionals' use of mobile devices is transforming clinical practice. Numerous medical software applications can now help with tasks ranging from information and time management to clinical decision-making at the point of care.
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                Author and article information

                Journal
                Explor Res Clin Soc Pharm
                Explor Res Clin Soc Pharm
                Exploratory Research in Clinical and Social Pharmacy
                Elsevier
                2667-2766
                05 February 2022
                March 2022
                05 February 2022
                : 5
                : 100115
                Affiliations
                [a ]Department of Pharmaceutical Sciences, Federal Rural University of Rio de Janeiro, Seropédica, RJ, Brazil
                [b ]School of Pharmacy, Federal Rural University of Rio de Janeiro, Seropédica, RJ, Brazil
                [c ]Graduate Program in Administration and Management of Pharmaceutical Service, Fluminense Federal University, Niteroi, RJ, Brazil
                [d ]Faculty of Estacio, Belem, PA, Brazil
                [e ]Salt Engineering and Automation LDTA, Tv. Rui Barbosa 571, sl. 3, Belem, Para, Brazil
                Author notes
                [* ]Corresponding author at: Department of Pharmaceutical Sciences, Federal Rural University of Rio de Janeiro, Centro Integrado de Ciências da Saúde, R. UAJ - UFRRJ, Seropédica, Rio de Janeiro, Brazil. E-mail address: taciolima@ufrrj.br (Tácio de Mendonça Lima).
                Article
                S2667-2766(22)00014-2 100115
                10.1016/j.rcsop.2022.100115
                9029900
                5caef4d0-7ab0-4e2c-a8ce-51f80054d576
                © 2022 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 9 December 2021
                : 1 February 2022
                : 1 February 2022
                Categories
                Article

                mobile applications,vancomycin,drug dosage calculation,methicillin-resistant staphylococcus aureus

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