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

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

206703 participants

Study Classification

INTERVENTIONAL

Study Start Date

2013-11-30

Study Completion Date

2014-11-30

Brief Summary

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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

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Detailed Description

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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

Conditions

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Influenza Like Illness Asthma Group A Streptococcal Infection Pertussis

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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Control

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

Group Type PLACEBO_COMPARATOR

Control

Intervention Type OTHER

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

What's Going Around Tool

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

Group Type ACTIVE_COMPARATOR

What's Going Around tool

Intervention Type OTHER

Provider has access to the What's Going Around tool

Interventions

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What's Going Around tool

Provider has access to the What's Going Around tool

Intervention Type OTHER

Control

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

Intervention Type OTHER

Eligibility Criteria

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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