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Can a smartphone app improve medical trainees’ knowledge of antibiotics?
OBJECTIVES: To determine whether a smartphone app, containing local bacterial resistance patterns (antibiogram) and treatment guidelines, improved knowledge of prescribing antimicrobials among medical trainees. METHODS: We conducted a prospective, controlled, pre-post study of medical trainees with...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IJME
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5768437/ https://www.ncbi.nlm.nih.gov/pubmed/29200402 http://dx.doi.org/10.5116/ijme.5a11.8422 |
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author | Fralick, Michael Haj, Reem Hirpara, Dhruvin Wong, Karen Muller, Matthew Matukas, Larissa Bartlett, John Leung, Elizabeth Taggart, Linda |
author_facet | Fralick, Michael Haj, Reem Hirpara, Dhruvin Wong, Karen Muller, Matthew Matukas, Larissa Bartlett, John Leung, Elizabeth Taggart, Linda |
author_sort | Fralick, Michael |
collection | PubMed |
description | OBJECTIVES: To determine whether a smartphone app, containing local bacterial resistance patterns (antibiogram) and treatment guidelines, improved knowledge of prescribing antimicrobials among medical trainees. METHODS: We conducted a prospective, controlled, pre-post study of medical trainees with access to a smartphone app (app group) containing our hospital’s antibiogram and treatment guidelines compared to those without access (control group). Participants completed a survey which included a knowledge assessment test (score range, 0 [lowest possible score] to 12 [highest possible score]) at the start of the study and four weeks later. The primary outcome was change in mean knowledge assessment test scores between week 0 and week 4. Change in knowledge assessment test scores in the app group were compared to the difference in scores in the control group using multivariable linear regression. RESULTS: Sixty-two residents and senior medical students participated in the study. In a multivariable analysis controlling for sex and prior knowledge, app use was associated with a 1.1 point (95% CI: 0.10, 2.1) [β = 1.08, t(1) = 2.08, p = 0.04] higher change in knowledge score compared to the change in knowledge scores in the control group. Among those in the app group, 88% found it easy to navigate, 85% found it useful, and about one- quarter used it daily. CONCLUSIONS: An antibiogram and treatment algorithm app increased knowledge of prescribing antimicrobials in the context of local antibiotic resistance patterns. These findings reinforce the notion that smartphone apps can be a useful and innovative means of delivering medical education. |
format | Online Article Text |
id | pubmed-5768437 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | IJME |
record_format | MEDLINE/PubMed |
spelling | pubmed-57684372018-01-25 Can a smartphone app improve medical trainees’ knowledge of antibiotics? Fralick, Michael Haj, Reem Hirpara, Dhruvin Wong, Karen Muller, Matthew Matukas, Larissa Bartlett, John Leung, Elizabeth Taggart, Linda Int J Med Educ Original Research OBJECTIVES: To determine whether a smartphone app, containing local bacterial resistance patterns (antibiogram) and treatment guidelines, improved knowledge of prescribing antimicrobials among medical trainees. METHODS: We conducted a prospective, controlled, pre-post study of medical trainees with access to a smartphone app (app group) containing our hospital’s antibiogram and treatment guidelines compared to those without access (control group). Participants completed a survey which included a knowledge assessment test (score range, 0 [lowest possible score] to 12 [highest possible score]) at the start of the study and four weeks later. The primary outcome was change in mean knowledge assessment test scores between week 0 and week 4. Change in knowledge assessment test scores in the app group were compared to the difference in scores in the control group using multivariable linear regression. RESULTS: Sixty-two residents and senior medical students participated in the study. In a multivariable analysis controlling for sex and prior knowledge, app use was associated with a 1.1 point (95% CI: 0.10, 2.1) [β = 1.08, t(1) = 2.08, p = 0.04] higher change in knowledge score compared to the change in knowledge scores in the control group. Among those in the app group, 88% found it easy to navigate, 85% found it useful, and about one- quarter used it daily. CONCLUSIONS: An antibiogram and treatment algorithm app increased knowledge of prescribing antimicrobials in the context of local antibiotic resistance patterns. These findings reinforce the notion that smartphone apps can be a useful and innovative means of delivering medical education. IJME 2017-11-30 /pmc/articles/PMC5768437/ /pubmed/29200402 http://dx.doi.org/10.5116/ijme.5a11.8422 Text en Copyright: © 2017 Michael Fralick et al. http://creativecommons.org/licenses/by/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License which permits unrestricted use of work provided the original work is properly cited. http://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Original Research Fralick, Michael Haj, Reem Hirpara, Dhruvin Wong, Karen Muller, Matthew Matukas, Larissa Bartlett, John Leung, Elizabeth Taggart, Linda Can a smartphone app improve medical trainees’ knowledge of antibiotics? |
title | Can a smartphone app improve medical trainees’ knowledge of antibiotics? |
title_full | Can a smartphone app improve medical trainees’ knowledge of antibiotics? |
title_fullStr | Can a smartphone app improve medical trainees’ knowledge of antibiotics? |
title_full_unstemmed | Can a smartphone app improve medical trainees’ knowledge of antibiotics? |
title_short | Can a smartphone app improve medical trainees’ knowledge of antibiotics? |
title_sort | can a smartphone app improve medical trainees’ knowledge of antibiotics? |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5768437/ https://www.ncbi.nlm.nih.gov/pubmed/29200402 http://dx.doi.org/10.5116/ijme.5a11.8422 |
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