How Does the Clinical Tool 'What's Going Around' Affect Clinical Practice (WGA)
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
Studienübersicht
Status
Status
Bedingungen
Bedingungen
Intervention / Behandlung
Intervention / Behandlung
Detaillierte Beschreibung
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
Studientyp
Studientyp
Einschreibung (Tatsächlich)
Einschreibung
Phase
Phase
- Unzutreffend
Kontakte und Standorte
Studienorte
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Illinois
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Evanston, Illinois, Vereinigte Staaten, 60201
- Northshore University Healthsystem
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Teilnahmekriterien
Zulassungskriterien
Zulassungskriterien
Studienberechtigtes Alter
- Kind
- Erwachsene
- Älterer Erwachsener
Akzeptiert gesunde Freiwillige
Studienberechtigte Geschlechter
Beschreibung
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:
None
Studienplan
Wie ist die Studie aufgebaut?
Designdetails
- Hauptzweck: Diagnose
- Zuteilung: Zufällig
- Interventionsmodell: Parallele Zuordnung
- Maskierung: Keine (Offenes Etikett)
Anzahl der Arme
Waffen und Interventionen
Teilnehmergruppe / ArmTeilnehmergruppe / Arm |
Intervention / BehandlungIntervention / Behandlung |
|---|---|
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Placebo-Komparator: Control
Providers do not have access to What's Going Around Tool but receive an instructional video explaining tool
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Provider does not have access to the What's Going Around tool but received information regarding the tool prior to study initiation
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Aktiver Komparator: What's Going Around Tool
Provider has access to What's Going Around Tool.
Provider also shown a video explaining how to use Tool
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Provider has access to the What's Going Around tool
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Was misst die Studie?
Primäre Ergebnismessungen
Primäre Ergebnismessungen
Ergebnis Maßnahme |
Zeitfenster |
|---|---|
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Percentage of visits for ILI in which a patient was prescribed an antibacterial agent during the seasonal flu season
Zeitfenster: 1 year
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1 year
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Sekundäre Ergebnismessungen
Sekundäre Ergebnismessungen
Ergebnis Maßnahme |
Zeitfenster |
|---|---|
|
Percentage of visits for ILI in which a patient was prescribed an antiviral agent during the seasonal flu season
Zeitfenster: 1 year
|
1 year
|
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Percent of primary care visits in which a patient received an antibiotic
Zeitfenster: 1 year
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1 year
|
Andere Ergebnismessungen
Andere Ergebnismessungen
Ergebnis Maßnahme |
Zeitfenster |
|---|---|
|
Percentage of visits for pediatric patients with asthma in which asthma counseling performed
Zeitfenster: 1 year
|
1 year
|
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Percent of time a pertussis PCR was sent for patients with a complaint of cough during a period of high pertussis prevalence
Zeitfenster: 1 year
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1 year
|
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Percent of pharyngitis patients who received a Group A Strep test during a period of high prevalence of group A strep
Zeitfenster: 1 year
|
1 year
|
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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
Zeitfenster: 1 year
|
1 year
|
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Percent of pharyngitis patients who received a Group A Strep test during a period of low prevalence of group A strep
Zeitfenster: 1 year
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1 year
|
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Percent of pharyngitis patients who received a Group A strep appropriate antibiotic during a period of high prevalence of group A strep
Zeitfenster: 1 year
|
1 year
|
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Percent of pharyngitis patients who received a Group A Strep appropriate antibiotic during a period of low prevalence of group A strep
Zeitfenster: 1 year
|
1 year
|
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Percent of patients with asthma who have a hospital visit for asthma
Zeitfenster: 1 year
|
1 year
|
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Percentage of days that a physician used the What's Going Around tool of all days he/she worked in a year
Zeitfenster: 1 year
|
1 year
|
Mitarbeiter und Ermittler
Sponsor
Sponsor
Ermittler
Ermittler
- Hauptermittler: Ari Robicsek, MD, Northshore University Healthsystem
Publikationen und hilfreiche Links
Studienaufzeichnungsdaten
Haupttermine studieren
Studienbeginn
Studienbeginn
Primärer Abschluss (Tatsächlich)
Primärer Abschluss
Studienabschluss (Tatsächlich)
Studienabschluss
Studienanmeldedaten
Zuerst eingereicht
Zuerst eingereicht
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst gepostet (Schätzen)
Zuerst gepostet
Studienaufzeichnungsaktualisierungen
Letztes Update gepostet (Schätzen)
Letztes Update gepostet
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Zuletzt verifiziert
Zuletzt verifiziert
Mehr Informationen
Begriffe im Zusammenhang mit dieser Studie
Zusätzliche relevante MeSH-Bedingungen
Andere Studien-ID-Nummern
Andere Studien-ID-Nummern
- What's Going Around
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