2012
DOI: 10.1093/jac/dks492
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An analysis of the development and implementation of a smartphone application for the delivery of antimicrobial prescribing policy: lessons learnt

Abstract: ObjectivesSmartphone usage amongst clinicians is widespread. Yet smartphones are not widely used for the dissemination of policy or as clinical decision support systems. We report here on the development, adoption and implementation process of the Imperial Antimicrobial Prescribing Application across five teaching hospitals in London.MethodsDoctors and clinical pharmacists were recruited to this study, which employed a mixed methods in-depth case-study design with focus groups, structured pre- and post-interve… Show more

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Cited by 70 publications
(66 citation statements)
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“…Increasing ARUSC accessibility via a mobile application would improve antibiotic prescribing. The hospital's information technology infrastructure would have to be reviewed to assure robust network connectivity [30].…”
Section: Discussionmentioning
confidence: 99%
“…Increasing ARUSC accessibility via a mobile application would improve antibiotic prescribing. The hospital's information technology infrastructure would have to be reviewed to assure robust network connectivity [30].…”
Section: Discussionmentioning
confidence: 99%
“…[17][18][19][20][21][22][23] In this context, the importance of a correct knowledge of the clinical use of apps is strongly needed and should be underlined. [23][24][25][26] Indeed, the important potential advantages could be mitigated by some critical issues that must be strictly taken into account. Approaching MED and apps, the first question should be who are the providers and what is their reputation?…”
Section: Discussionmentioning
confidence: 99%
“…Legoinha et al (2006) suggested that each group should receive no more than 30 students and be coordinated by a tutor. However, given the sample loss of up to 70% observed in epidemiological studies involving the use of the Internet or telephone as a strategy for data collection (Chwastiak et al, 2002;Charani et al, 2013;Shcherbakova, Shepherd, 2014;Frisk et al, 2015), up to 50 participants are allocated to each group.…”
Section: Allocationmentioning
confidence: 99%