CONCEPT-DIABETES ANALYTICAL PIPELINE RESULTS FOR THE CANARY ISLANDS COHORT (2017-2022)

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Project Description: CONCEPT-DIABETES is part of CONCEPT, a coordinated research project initiative that was born under the umbrella of REDISSEC, the Spanish Research Network on Health Services Research and Chronic Conditions [www.redissec.com], and which continues under RICAPPS the Spanish Research Network on Chronicity, Primary Care, and Health Promotion [www.ricapps.es]. This project aims at analyzing chronic care effectiveness and efficiency in a number of cohorts built on real world data (RWD). In the specific case of CONCEPT-DIABETES, the focus is on assessing the effectiveness of a set of clinical practice actions and quality improvement strategies at different levels (patient-level, health-care provider level and health system level) on the management and health results of patients with type 2 diabetes (T2D) using process mining methodology. It is a population-based retrospective observational study centered on all T2D patients diagnosed in several Regional Health Services within the Spanish National Health Service, that includes information from all their contacts with the health services using the electronic medical record systems. We assess to what extent recommended interventions from evidence-based guidelines are implemented in real life and which are their effects on health outcomes. Process mining methods are used to analyze the data. CONCEPT-DIABETES, as the other CONCEPT projects, develops a federated infrastructure (FDI) in which all partners share a Common Data-model and a common pipeline, which produce structured results for each region. 'CONCEPT-DIABETES analytical pipeline RESULTS Canary Islands.html' use The protocol of CONCEPT-DIABETES, given in https://doi.org/10.5281/zenodo.10958692 The Data Management Plan of CONCEPT-DIABETES, given in https://doi.org/10.5281/zenodo.10973486 The dataset that includes the CONCEPT-DIABETES Basque Country data, which follows the Datamodel given in https://doi.org/10.5281/zenodo.11519029 The analytical pipeline needed to obtain the results, which is given in https://doi.org/10.5281/zenodo.11441714 and https://github.com/metodologianavarrabiomed/CONCEPT-DIABETES/tree/1.4.5 'CONCEPT-DIABETES analytical pipeline RESULTS Canary Islands.html' provides results for the Basque cohort, and includes: A brief introduction Explanation of the methodology used, including the running code, which use both Python and R environments. It includes methods for data preprocessing, event log creation, description of traces, conformance cheking (both for process indicators, such as 'having HbA1c - glycaemic hemoglobing measured last year', and also for treatment trajectories) and prediction of clinical outcomes. Cohort description for incident patients (n=6.381) and for prevalent patients (n=210566), which are all Patients with T2D in the Canary Islands. Results of Healthcare pathways by predominant clinical condition (none, obesity, frailty, Chronic Kidney Disease, Heart failure and Cardiovascular Disease) Results of the analysis of process indicators, including a) description, b) adherence to guidelines for process indicators, estimated using the 'fitness measure' and c) assessment of the effect of adherence on clinical outcomes (death, potentially avoidable hospitalization or predominant clinical condition change). Results of the analysis of therapeutic pathways by clinical condition, including a) description, b) clustering of traces, c) adherence to therapeutic guidelines, estimated using the 'fitness measure' and d) assessment of the effect of adherence on clinical outcomes (death, potentially avoidable hospitalization or predominant clinical condition change) A summary of the prediction model for clinical outcomes by clinical condition The cost-analysis for the heatlhcare pathways of the traces Results for other regions are given in https://doi.org/10.5281/zenodo.12583914 (Aragon), https://doi.org/10.5281/zenodo.12581829 (Navarra) and https://doi.org/10.5281/zenodo.13142070 (Basque Country)

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