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CompletedNCT01979588WGAUpdated Mar 31, 2016

How Does the Clinical Tool 'What's Going Around' Affect Clinical Practice

An interventional study of What's Going Around tool and Control in Influenza Like Illness, Asthma and Group A Streptococcal Infection, sponsored by NorthShore University HealthSystem. Completed at 1 site in United States. Per ClinicalTrials.gov, last updated 2016-03-31.

Sponsored by NorthShore University HealthSystem · Not applicable, Interventional, and Diagnostic

Phase
Not applicable
Study type
Interventional
Enrollment
206,703
Allocation
Randomized
Sex
All
01

Study summary

Previous work has shown that the epidemiological context of a patient's presentation can provide important information for clinicians to aid in diagnosis and treatment. With current electronic health records, it is increasingly possible to perform syndromic surveillance that is local and specific to a patient's characteristics.

The investigators have developed algorithms for syndromic surveillance for a number of conditions in which contextual information might be of use to treating clinicians. The syndromic surveillance algorithms already developed are for influenza-like-illness, whooping cough, asthma exacerbation, Group A Streptococcal pharyngitis, and gastroenteritis infection.

The investigators plan on studying these tools with a clustered randomized control cohort study evaluating how clinical decision making is affected by use of these tools by outpatient general practitioners. The goal is to incorporate these validated algorithms into a quality improvement tool which will provide point-of-care clinical decision support to clinicians

Read the detailed description

The epidemiological context of a patient's presentation can provide important information for clinicians to aid in diagnosis and treatment. The investigators previously developed and validated a syndromic surveillance tool for detecting influenza-like illness (ILI) encounters. The investigators then evaluated 40,642 outpatient ILI episodes during 'flu seasons' over 6 years. The investigators found that even after controlling for patient presentation and physician factors, the context in which a patient presented was strongly associated with the likelihood that an antimicrobial agent would be prescribed. Specifically, patients were less likely to be prescribed an antibiotic if they presented with ILI during the pandemic influenza period (when awareness of 'flu season' was very high), or after their physician had personally seen many patients with ILI in the prior week.

Currently, most clinicians have only limited access to data regarding the 'context' in which a patient presents. Under such circumstances, physicians are often unaware of local epidemiological information that could help them make optimal treatment decisions. In centers with advanced use of electronic health records (EHRs), it is increasingly possible to perform syndromic surveillance that is local (e.g. specific to a neighborhood or school district), current (e.g. updated daily), and specific to a patient's characteristics (e.g. age, chief complaint).

To that end, the investigators have developed algorithms for syndromic surveillance for a number of syndromes including Asthma, ILI, Pertussis, Group A Streptococcus Pharyngitis, and Gastroenteritis. These algorithms may provide contextual information that might be of use to clinicians.

The purpose of this study is to determine the effect of how a point-of-care clinical decision tool in the form of syndromic surveillance algorithms affect clinical decision making amongst outpatient health care providers and also patient outcomes. We will be using a 2 year look back prior to tool roll out as a comparison.

Specific Aims:

To determine the effect this point-of-care clinical decision tool has on clinical decision making amongst primary care providers.

To determine the clinical outcomes of patients whose physicians had access to these tools

To understand how these point-of-care clinical decision tools are used among healthcare providers in day to day practice

02

Conditions studied

  • Influenza Like Illness
  • Asthma
  • Group A Streptococcal Infection
  • Pertussis
03

In context

Streptococcal Infections

155 studies on the registry are indexed under Streptococcal Infections; 15 are open to participants now.

This study's enrollment of 206,703 is above the median of 250 across 105 interventional studies indexed under Streptococcal Infections.

Browse Streptococcal Infections studies →

Lead sponsor

NorthShore University HealthSystem is the lead sponsor of 6 studies on the registry; none are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
Yes

Inclusion criteria

All patients seen in a Northshore University HealthSystem outpatient clinic (Family Medicine, Internal Medicine or Pediatric) between the Nov 1 2013 to Oct 31 2014

Exclusion criteria

Exclusion Criteria:

None

05

Study design

Phase
Not applicable
Primary purpose
Diagnostic
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
206,703 participants (actual)

Study arms

  • Placebo comparator
    Control

    Providers do not have access to What's Going Around Tool but receive an instructional video explaining tool

    Other: Control

  • Active comparator
    What's Going Around Tool

    Provider has access to What's Going Around Tool. Provider also shown a video explaining how to use Tool

    Other: What's Going Around tool

Interventions

  • OtherWhat's Going Around tool

    Provider has access to the What's Going Around tool

  • OtherControl

    Provider does not have access to the What's Going Around tool but received information regarding the tool prior to study initiation

06

What researchers measure

Primary outcomes

  1. Percentage of visits for ILI in which a patient was prescribed an antibacterial agent during the seasonal flu season

    Time frame: 1 year

Secondary outcomes

  1. Percentage of visits for ILI in which a patient was prescribed an antiviral agent during the seasonal flu season

    Time frame: 1 year

  2. Percent of primary care visits in which a patient received an antibiotic

    Time frame: 1 year

Other outcomes

  1. Percentage of visits for pediatric patients with asthma in which asthma counseling performed

    Time frame: 1 year

  2. Percent of time a pertussis PCR was sent for patients with a complaint of cough during a period of high pertussis prevalence

    Time frame: 1 year

  3. Percent of pharyngitis patients who received a Group A Strep test during a period of high prevalence of group A strep

    Time frame: 1 year

  4. Percent of time that a pertussis active antibiotic was prescribed in a patient with a complaint of a cough during a period of high pertussis prevalence

    Time frame: 1 year

  5. Percent of pharyngitis patients who received a Group A Strep test during a period of low prevalence of group A strep

    Time frame: 1 year

  6. Percent of pharyngitis patients who received a Group A strep appropriate antibiotic during a period of high prevalence of group A strep

    Time frame: 1 year

  7. Percent of pharyngitis patients who received a Group A Strep appropriate antibiotic during a period of low prevalence of group A strep

    Time frame: 1 year

  8. Percent of patients with asthma who have a hospital visit for asthma

    Time frame: 1 year

  9. Percentage of days that a physician used the What's Going Around tool of all days he/she worked in a year

    Time frame: 1 year

07

Study locations

1 site
  • Northshore University HealthSystem
    Evanston, Illinois 60201, United States
08

References and documents

Publications

  • Hebert C, Beaumont J, Schwartz G, Robicsek A. The influence of context on antimicrobial prescribing for febrile respiratory illness: a cohort study. Ann Intern Med. 2012 Aug 7;157(3):160-9. doi: 10.7326/0003-4819-157-3-201208070-00005. PubMed 22868833 ↗
09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Mar 31, 2016, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT01979588
Lead sponsor
NorthShore University HealthSystem
Responsible party
Ari Robiscek (Vice President for Clinical and Quality Informatics, Associate CMIO, NorthShore University HealthSystem) — Principal investigator
First posted
Nov 8, 2013
Start date
Nov 2013
Primary completion
Nov 2014
Completion
Nov 2014
Last update
Mar 31, 2016

Study contacts

Ari Robicsek, MD
principal investigator · NorthShore University HealthSystem

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Mar 2016. You cannot join it, but the record below documents what was studied.

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