Evidence map›Paper›PMID 23258314›Full record

ArticleThe Journal of antimicrobial chemotherapy2013

An analysis of the development and implementation of a smartphone application for the delivery of antimicrobial prescribing policy: lessons learnt.

E Charani, Y Kyratsis, W Lawson, H Wickens, E T Brannigan, L S P Moore, A H Holmes

Abstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 5 pooled it
–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

35 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Trial
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  9. Article
  10. Article
  11. Developing a Mobile Application-based System for Enhancing Medical Skill Training.Journal of advances in medical education & professionalism · 2025
    Article
  12. Article
  13. Observational
  14. Article
  15. Article
  16. The Differences in Antibiotic Decision-making Between Acute Surgical and Acute Medical Teams: An Ethnographic Study of Culture and Team Dynamics.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    Observational
  17. Article
  18. Can a smartphone app improve medical trainees' knowledge of antibiotics?International journal of medical education · 2017
    Article
  19. Article
  20. Review
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

7 authors.

E CharaniNational Centre for Infection Prevention and Management, Imperial College London, London, UK. e.charani@imperial.ac.uk
Y Kyratsis
W Lawson
H Wickens
E T Brannigan
L S P Moore
A H Holmes

Funding

Medical Research Council G0800777
6 · The paper itself

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-intervention survey questionnaires and live data on application uptake. The primary outcome measure was uptake of the application by doctors and its acceptability. The development and implementation processes were also mapped.

resultsThe application was downloaded by 40% (376) of junior doctors with smartphones (primary target user group) within the first month and by 100% within 12 months. There was an average of 1900 individual access sessions per month, compared with 221 hits on the Intranet version of the policy. Clinicians (71%) reported that using the application improved their antibiotic knowledge.

conclusionsClinicians rapidly adopted the mobile application for antimicrobial prescribing at the point of care, enabling the policy to reach a much wider audience in comparison with paper- and desktop-based versions of the policy. Organizations seeking to optimize antimicrobial prescribing should consider utilizing mobile technology to deliver point-of-care decision support. The process revealed a series of barriers, which will need to be addressed at individual and organizational levels to ensure safe and high-quality delivery of local policy at the point of care.

Indexed as

Anti-Bacterial AgentsCell PhoneCommunicable DiseasesDecision Support Systems, ClinicalDrug PrescriptionsHospitals, TeachingHumansInterviews as TopicLondonOrganizational PolicyPatient Acceptance of Health CarePharmacistsPhysiciansTelemedicineAnti-Bacterial Agents

Identifiers

PMID23258314
PMCPMC3594497

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.