CONCEPT- STROKE- Common Data Model to analyse healthcare pathways of Acute Ischaemic Stroke

Technical notes and documentation on the common data model of the project CONCEPT-STROKE

This publication corresponds to the Common Data Model (CDM) specification of the CONCEPT-STROKE project for implementing a federated network analysis of the healthcare pathway of acute ischaemic stroke.

Aims of CONCEPT-STROKE:

General aim: To estimate the effectiveness and efficiency of the care pathway followed by acute ischaemic stroke patients, using Real World Data (RWD) routinely collected by five Spanish Regional Health Systems.

Main specific aims:

• To discover the actual care pathway of Acute Ischemic Stroke, from the admission to an emergency room in a public hospital to the appearance of an event of interest after discharge. 
• To compare that care pathway discovered with the theoretical pathway that a patient should follow according to the 
  regional Stroke Plans.
• To analyse the impact of specific care interventions within and across care paths, in terms of patients survival
• To compare the traditional analytical methods with process mining methods in terms of modeling quality, prediction performance and information provided.

Study Design: It is a population-based retrospective observational study centered on all patients admitted to hospital due to acute ischemic stroke in five Regional Health Services within the Spanish National Health Service. We will include all individual patients that endured an acute ischaemic stroke and were admitted to an emergency room (or with an unplanned admission to hospital) in any acute care public hospital serving in Aragon, Basque Country, Catalonia, Navarre and Valencia, since 2010 until the more recent year available

Cohort definition: All patients admitted to hospital due to acute ischemic stroke (from 18 to 115 years old, included).

• Inclusion criteria: All patients 18 years or older admitted to emergency care services (or with an unplanned admission to hospital) with a principal diagnosis of acute ischemic stroke (AIS) during the study period.
• Exclusion criteria: Patients 17 years or younger or patients with a diagnosis of acute hemorragic stroke or with other non-specific stroke diagnoses (i.e. transient ischemic attack - TIA)
• Study period: From 01-01-2010 until the more recent date available. 

Files included in this publication:

• Common data model specification (CONCEPT_STROKE_data_model_v.1.2.2.xlsx)
• Diagram data model (CONCEPT_STROKE_data_query_entity_diagram_cdm.png)
• Synthetic datasets (complying with the common data model specifications in zip)
  • Inputs folder (Databases needed to run the python synthetic data script) 
    • cat_antiaggregants_prescription_bl.csv
    • cat_antiarrhythmics_prescription_bl.csv
    • cat_anticoagulants_prescriptions_bl.csv
    • cat_antihypertensive_prescription_bl.csv
    • cat_cnh_202303301704.csv
    • cat_cod_postales_202303311216.csv
    • cat_fibrinolitics_prescriptions_bl.csv
  • Outputs folder (Database resulting from the synthetic data script execution)
    • synthetic_data_concept_stroke.csv
  • Script to generate syntheric data from CONCEPT-STOKE project (in Python)
    • generate_synthetic_data.py
  • Explanation file to be able to run the script and generate synthetic data
    •  README.docx

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#### CONCEPT-STROKE app v.1.2.3 changelog #### 

• Update: The order of several variables in the synthetic data file has been changed.