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How Did Information Technology Boost the Dissemination of Community-wide Antibiogram to Healthcare Providers?
Lei Chen, PhD, Sr. Epidemiologist
Steve B. Fisher, B.S., Department Computer Application Specialist
Washoe County Health District, Reno, Nevada2011 CSTE Conference, Pittsburgh, PA
June 13, 2011
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Objectives Brief description of antibiogram Demo of online antibiogram How online antibiogram was
developed How well received by local medical
community
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Background What is Antibiogram?
An overall profile of antimicrobial susceptibility of a microbial species to a battery of antimicrobial agents.
A tool for healthcare providers to use local antibiotic susceptibility data as recommended by the CDC to provide guidance in their prescribing practice.
Collaborating with hospitals Yearly product between 2002 and present
Dissemination to the medical community Between 2002 and 2004: pocket size Survey among healthcare providers Between 2007 and present: online, pocket size, wall-
chart Demo of online antibiogram
http://www.washoecounty.us/health/ephp/antibiogram.php
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Methods (1)
Programming Languages PHP:Hypertext Preprocessor (PHP) Cascading Style Sheets (CSS) JavaScript
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Methods (2) Monthly web statistics report
Effective in August 2005 Web visits for online format, pocket size
format, and wall-chart One web visit definition
One web visit is counted if the visit comes from one IP address within 15 minutes regardless of the number of hits.
One month’s IP address April 2011, look at unique IP address
Google analysis of Operating Systems
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PHP:Hypertext Preprocessor (PHP) Screenshot
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Cascading Style Sheets (CSS) - Screenshot
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JavaScript - Screenshot
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Results Total 15,510 web visits between 2008 and
2010, of which 13,527 visits (87%) electronic formats Average monthly visit for the online format (See
following graph) Total web visits between 2005 (August – December)
and 2007 was 2,359. Unique IP address analysis:
April 2011: 227 unique IP addresses visited the website.
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Average Monthly Visits of Antibiogram, Washoe County, 2005-2011
597 607
65115
510
683
435
253
25
458
659
0
100
200
300
400
500
600
700
800
2005 2006 2007 2008 2009 2010 2011 (01-04)
Year
No
. Ave
rag
e M
on
thly
Vis
its
Online Total
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Why increased? Online format became available Increased usage of SmartPhone,
for example, Google analysis of OS 2008: iPhone 0.16% 2009: iPhone 0.45% 2010: iPhone 1.4% 2011: iPhone 1.65%
EpiNews distribution
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Conclusions Online antibiogram using computer
programming languages definitely assist increase the popularity of the antibiogram
Easy to prepare, easy to disseminate, easy to use, and well received by the end users
The limitation is lack of trend graph presentation
