General descriptive data Variables The variables collected in the SIDIAP are separated according to their origin: Clinical or consultation variables Analytical or laboratory variables For more information on what type of variable can be found in each group and what additional information can be requested, please consult the Information available, Variables. Clinical variables The following figures show the temporal distribution of all the consultation variables already included in the Clinical Variables table and the number of records of the most recorded measures:
*Note: You can see a clear drop in the number of registrations in 2020 caused by the start of the COVID-19 pandemic. Analytical variables Next we can find graphical representations of the time distribution of the laboratory tests validated by the SIDIAP, the most recorded analyses and the percentage of records automatically entered into the system compared to those recorded manually by PC professionals or RIMAP (Record Entered Manually in Primary Care).
*Note: It can be seen that most SIDIAP laboratory records are automatically entered into the system by the laboratories.
General descriptive data Visits The following is information related to the visits per patient carried out by the different Primary Care services: Family Medicine (FM) Infirmary Paediatrics Odontology Social Work (SW) Gynaecology and Obstetrics For detailed information on the variables included, please consult the Available Informationpage.
*Note: An increase in visits is observed from 2020, a change generated by the increase in non-face-to-face consultations due to the COVID-19 pandemic.
General descriptive data Diagnoses This section shows the temporal distribution of the health problem records available in the SIDIAP database with CIM10-MC Codification. You can also see the 10 most common diagnoses in PC so far and what their Ns are. For more information on this table and what can be provided by research, see Information available.
Sick Leaves SIDIAP includes, in addition to diagnoses, the health problems that cause sick leaves or TLI (Temporary Labour Interruption). The 10 most common reasons for sick leave can be seen in the following histogram. To find out which sick leave data can be requested for an investigation, please refer to the section Available information..
General descriptive data Drugs As far as drugs are concerned, two sources with different origins are available in the database: Prescribed drugs or prescription Invoiced drugs or invoicing For more information on which fields are included, see Information available, section Drugs. Prescribed drugs The SIDIAP has the data of all the drugs prescribed in the Electronic Health Record (EHR). Below is a description of some of the data included in this table:
Invoiced drugs Description of the data included in invoicing, which includes all drugs financed by the National Health System and withdrawn from pharmacies by means of prescriptions issued by professionals of the Catalan Health Institute.
*Note: A decrease in the number of registrations has been observed since July 2012, when the measure of one euro per prescription was implemented.