- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01232686
Snow Disease Surveillance System Study (Snow)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
We will collect data from general practitioners (GP) offices by installing local data extraction solutions. Each installation will build a local anonymous database of GP consultations extracted from the local electronic patient record (EPR) system. These anonymous data records will be used to produce local disease statistics before they are exported to a centralized server available in the Norwegian Health network. The centralized server will produce daily reports about the epidemiological situation in the patient population. We will combine the syndromic data from the GP offices with data from the microbiology laboratories on the hospitals that covers the study areas. The epidemiological data will be made available to the intervention areas in the study through web based and customized client applications.
By using data extracted from the GP offices EPR databases and the microbiology laboratories we will investigate the study hypothesis.
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- ADULT
- OLDER_ADULT
- CHILD
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Volunteering General Practitioner (GP) working in a GP office
Exclusion Criteria:
- The GP does not use a Electronic Patient Record (EPR) system
Study Plan
How is the study designed?
Design Details
- Primary Purpose: HEALTH_SERVICES_RESEARCH
- Allocation: NON_RANDOMIZED
- Interventional Model: PARALLEL
- Masking: NONE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
NO_INTERVENTION: Control area
In the control areas we will monitor the prevalence and treatment of communicable diseases without giving the participants online access to disease surveillance information
|
|
|
EXPERIMENTAL: Intervention area
In these areas we will give study participants online access to epidemiological data for communicable diseases
|
In the intervention areas we will give the study participants online access to the Snow disease surveillance system.
The system will provide data about the incidents of respiratory and gastrointestinal communicable diseases in the patient population.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Earlier diagnosis and treatment for communicable diseases
Time Frame: Measured at the end of the data collection period, approx. 1.5 year. (December 2012)
|
General practitioners (GP) have three possible decisions in a consultation with a patient; 1) treat on suspicion, 2) take a sample, 3) wait and see whether the patient recovers or get worse, or 4) a combination of 1 and 2. In situations with decision 3 (wait and see) the patient may return to a consultation later on. The hypothesis is that online access to epidemiological data from the local patient population will enable GPs to make the right decision more often based on knowledge about the epidemiological situation in the patient population. |
Measured at the end of the data collection period, approx. 1.5 year. (December 2012)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Earlier detection of local disease outbreaks
Time Frame: Measured at the end of the data collection period, approx. 1.5 year. (December 2012)
|
Syndromic surveillance enables earlier detection of local disease outbreaks compared to traditional laboratory based surveillance.
We will record the time of disease outbreak detection in both intervention and control areas and compare.
|
Measured at the end of the data collection period, approx. 1.5 year. (December 2012)
|
|
Lower number of infected during disease outbreaks
Time Frame: Measured at the end of the data collection period, approx. 1.5 year. (December 2012)
|
We will compare the number of infected in the intervention and control areas.
The hypothesis is that the intervention areas will have fewer infected compared to the control areas.
|
Measured at the end of the data collection period, approx. 1.5 year. (December 2012)
|
|
Impact on health service costs
Time Frame: Measured at the end of the data collection period, approx. 1.5 year. (December 2012)
|
We will measure the cost related to communicable diseases in the control and intervention areas.
Our prediction is that it will change.
|
Measured at the end of the data collection period, approx. 1.5 year. (December 2012)
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Johan Gustav Bellika, PhD, University of Tromsø, Department of Computer Science
Study record dates
Study Major Dates
Study Start
Primary Completion (ACTUAL)
Study Completion (ACTUAL)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (ESTIMATE)
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- ID 3746/ HST954-10
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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