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Research Projects

Research Projects with the SIDIAP

The SIDIAP works on a daily basis to be able to respond quickly to research projects proposed by research teams. These projects respond to a duly elaborated protocol that has been previously approved by the CC SIDIAP and the Ethics Committee (CEIm) of the IDIAP Jordi Gol. For more information, please consult the Applications section.

Before the evaluation by the CEIm, the SIDIAP carries out a feasibility study of the project to guarantee the viability of the study before the end of the circuit.

Once the project has been approved, a meeting is convened with the Research Team, the Data Extractor (DE), and a clinical consultant to carry out the operationalization of the project. This operationalization consists in translating the protocol into the SIDIAP data and concludes with the generation of the Specification Document (DOCESP), which gives the Research Team a detailed description of all the information necessary to be able to define their study:

  • Population chart with exclusion/inclusion criteria
  • Final population
  • Domains
  • Selected codes and Encodings
  • Periods
  • Columns

After receiving the DOCESP consent from the researchers, data extraction and a data Quality Report are carried out to validate the correctness of the Date prior to submission.

Research projects with SIDIAP-OMOP

SIDIAP is translated into the OHDSI Common Data Model (CDM), OHDSI, OMOP.

This means that you can participate with SIDIAP-OMOP in any project of these consortia if the necessary data are available.

SIDIAP-OMOP data are not given to the research teams. Instead of extracting the data, the studies are run within the SIDIAP network and only the results are shared externally.

If you need more information please contact This email address is being protected from spambots. You need JavaScript enabled to view it.

Research projects with SIDIAP-CONCEPTION

SIDIAP is translated into the Common Data Model (CDM)CONCEPTION, which is used by VAC4EU.

This means that you can participate with SIDIAP-CONCEPTION in any project of this consortium if the necessary data are available.

SIDIAP-CONCEPTION data are not given to the research teams but the studies are run in the SIDIAP network and only the results are shared externally.

If you need further information, please contact This email address is being protected from spambots. You need JavaScript enabled to view it.

Feasibility Studies
Studies that provide approximate data and to which the existing quality control mechanisms and processes are not applied, since their objective is to obtain a first approximation of the problem to see if it is worth carrying out a better defined study at a later date. No scientific publication can be made with these projects, as the information does not have the precision or guarantees required for a scientific manuscript.
Exploratory studies
For those first approximations, in which we want to know the N available in the database for a given health problem or drug. It is necessary to indicate the health problem by defining the ICD-10 code or the drug with the ATC code and only the N will be given (without stratifying or adjusting). These data will be provided free of charge, and should be understood as a measure of feasibility; this N does not have to be published (except in applications for funding and study/study protocols).

External Sources

SIDIAP can cross-reference its information with the data available in the Data Analytics Programme for Health Research and Innovation - PADRIS - PADRIS.

At present, this circuit allows cross-referencing with:

  • Acute Patients Hospitals (CMBD-AH)

  • Monographic Psychiatric Hospitals (CMDB-SMH)

  • Outpatient Mental Health (CMDB-SMA)

  • Emergency Department (CMDB-UR)

  • Outpatient Hospital Medication Dispensing Register (MHDA)

  • Registry of Patients and Treatments of CatSalut (RPT)

  • Health Services DataMart

  • Pharmaceutical Services DataMart

  • Registry of Familial Hypercholesterolemia

In addition, SIDIAP can link other data not included in PADRIS, by means of secure cross-referencing. As an example, and among many others, it has been possible to include information in SIDIAP studies of:

  • Parc Salut Mar Cancer Register

    Hospital Register

  • ARTPER Cohort

    Cohort of patients with peripheral artery disease

  • ReDeGi

    Girona Dementia Patient Registry

  • Mortality Register

    Mortality Register of the National Institute of Statistics


    Girona Heart Register

  • Meteorological and environmental data

    Catalan Meteorological Service

Other services

  • Free text

    SIDIAP té accés al text lliure escrit pels professionals de primària a les històries clíniques, anomenat MEAP (M: Motiu de consulta, E: Resultat de la exploració, A: Avaluació, P: Planificació). Aquest text es pot fer servir per realitzar validacions de problemes de salut, extreure signes o símptomes o registrar altra informació no estructurada necessària. A continuació es detalla el procediment per la realització d'anàlisi de text lliure que SIDIAP ofereix en l'actualitat: L'equip investigador defineix la població i les finestres temporals d'interès. Una tercera part (Institut Català de la Salut) extreu el text lliure d'acord al punt 1. L'equip investigador defineix els conceptes de cerca d'interès (paraules "clau"). SIDIAP identifica els conceptes d'interès definits per l'equip investigador i genera una taula plana amb tots els casos a validar i el text associat. Aquesta taula es completa amb altres dades d’interès disponibles a la HCE (Història Clínica Electrònica). Es fa l'ànàlisi del text per part de l'equip de recerca a dins de la xarxa segura. El text lliure torna a SIDIAP i es re-vincula la informació útil pel projecte trobada en ells (cas/no-cas, data d’event, …).

  • Validation questionnaires

    Des de SIDIAP i mitjançant els equips d'Atenció Primària, es poden dissenyar i publicar qüestionaris de validació.
    Aquests formularis poden estar disponibles per ser complimentats pels professionals sanitaris amb diferents finalitats:
    • Validació de diagnòstics, opinions, etc.
    • Selecció d'unitats bàsiques assistencials concretes segons l'objectiu d'un posterior projecte
    • Obtenció d'informació rellevant per la recerca no recollida d'una altra manera
  • Geographical representations

    By means of vector maps, the SIDIAP can help to geographically represent data in Catalonia.
    It is currently possible to represent data at the level of:
    • Provinces
    • Health Regions (RS)
    • Basic Health Areas (ABS)
    • Census sections

    These representations also allow the calculation of distances, e.g. between hospitals, or the assignment of specific addresses to any healthcare unit.
  • Pre-selections

    Availability to select randomly or, following criteria provided by the research teams, centres, units, professionals or others in order to be able to carry out any type of research study a posteriori: interventions, clinical trials, validation studies, case/control studies, ...
SIDIAP, 2022