Communicable Diseases
Conditions
Keywords
Communicable Diseases, Epidemiology, Population surveillance, Computerized Medical Record, Data collection
Brief summary
The study investigates whether shared online access to epidemiological data for general practitioners, disease prevention officers, emergency care services and microbiology laboratories changes clinical practice with regard to testing, diagnosing and treatment of communicable diseases. The main hypothesis is that online access for general practitioner to epidemiological data about communicable diseases changes clinical practice for testing, diagnosing and treatment of communicable diseases.
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.
Interventions
OTHEROnline disease surveillance data access
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.
Sponsors
University of Tromso
The Royal Norwegian Ministry of Health
Norwegian Health Network (state owned enterprise)
University Hospital of North Norway
Study design
Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Eligibility
Sex/Gender
ALL
Healthy volunteers
Yes
Inclusion criteria
* Volunteering General Practitioner (GP) working in a GP office
Exclusion criteria
* The GP does not use a Electronic Patient Record (EPR) system
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Earlier diagnosis and treatment for communicable diseases | 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. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Earlier detection of local disease outbreaks | 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. |
| Lower number of infected during disease outbreaks | 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. |
| Impact on health service costs | 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. |
Outcome results
None listed