Abstract
The Information System for Research in Primary Care (SIDIAP 2020) platform was created in 2010 by the Catalan Health Institute (ICS) and the IDIAPJGol Institute. It was designed to provide a valid and reliable database of selected information from electronic health records (EHRs) of patients registered in primary care centres for use in biomedical research. SIDIAP includes information from EHR data registered since January 1, 2006 by more than 30,000 health professionals during routine visits at 328 primary care centres pertaining to the ICS in Catalonia, a region in the North-East of Spain. SIDIAP has pseudo-anonymised records with 5.7 million people active in 2019.
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Ainhoa G, Cortés J, Giner-Soriano M et al (2018) Characteristics of apixaban-treated patients, evaluation of the dose prescribed, and the persistence of treatment: a cohort study in Catalonia. J Cardiovasc Pharmacol Ther 23:494–501. https://doi.org/10.1177/1074248418778544
Alexander M, Loomis A, Lei J et al (2019) Risks and clinical predictors of cirrhosis and hepatocellular carcinoma diagnoses in adults with diagnosed NAFLD: real-world study of 18 million patients in four European cohorts. BMC Med 17:95. https://doi.org/10.1186/s12916-019-1321-x
AQUAS (2020) Programa d’analítica de dades per a la recerca i la innovació en salut. http://aquas.gencat.cat/ca/ambits/analitica-dades/padris/. Accessed 20 Feb 2020
Baena-Díez JM, Garcia-Gil M, Comas-Cufí M et al (2018) Association between chronic immune-mediated inflammatory diseases and cardiovascular risk. Heart 104(2):119–126. https://doi.org/10.1136/heartjnl-2017-311279
Bolíbar B, Fina Avilés F, Morros R et al (2012) Base de datos SIDIAP: la historia clínica informatizada de Atención Primaria como fuente de información para la investigación epidemiológica. Med Clin (Barc) 138(14):617–621. https://doi.org/10.1016/j.medcli.2012.01.020
Dalmau R, Gonçalves A, Forcadell E et al (2018) A new clinical decision support tool for improving the adequacy of anticoagulant therapy and reducing the incidence of stroke in nonvalvular atrial fibrillation: a randomized clinical trial in primary care. Medicine 97:e9578. https://doi.org/10.1097/MD.0000000000009578
Domínguez-Berjón MF, Borrell C, Cano-Serral G et al (2008) Constructing a deprivation index based on census data in large Spanish cities (the MEDEA project). Gac Sanit 22(3):179–187. https://doi.org/10.1157/13123961
ENCePP (2020) European Network of Centres for Pharmacoepidemiology and Pharmacovigilance. http://www.encepp.eu/encepp/viewResource.htm?id=4646. Accessed 19 Feb 2020
Fina-Aviles F, Medina M, Méndez L et al (2014) The descriptive epidemiology of rheumatoid arthritis in Catalonia: a retrospective study using routinely collected data. Clin Rheumatol 35. https://doi.org/10.1007/s10067-014-2801-1
García-Gil MDM, Hermosilla E, Prieto-Alhambra D et al (2011) Construction and validation of a scoring system for the selection of high-quality data in a Spanish population primary care database (SIDIAP). Inform Prim Care 19(3):135–145. https://doi.org/10.14236/jhi.v19i3.806
Generalitat de Catalunya (2015) Consell Assessor per a la Sostenibilitat i el Progrés del Sistema Sanitari. Medicaments i Productes Sanitaris. https://catsalut.gencat.cat/ca/serveis-sanitaris/atencio-farmaceutica/financament-public-medicaments/. Accessed 18 Feb 2020
Mata-Cases M, Franch-Nadal J, Real J et al (2018) Therapeutic inertia in patients treated with two or more antidiabetics in primary care: factors predicting intensification of treatment. Diabetes Obes Metab 20(1):103–112. https://doi.org/10.1111/dom.13045
Mata-Cases M, Rodríguez-Sánchez B, Mauricio D et al (2020) The association between poor glycemic control and health care costs in people with diabetes: a population-based study. Diabetes Care: dc190573. https://doi.org/10.2337/dc19-0573
Muñoz-Ortego J, Vestergaard P, Rubio JB et al (2014) Ankylosing spondylitis is associated with an increased risk of vertebral and nonvertebral clinical fractures: a population-based cohort study. J Bone Miner Res 29(8):1770–1776. https://doi.org/10.1002/jbmr.2217
Observational Health Data Sciences and Informatics (2019) The book of OHDSI-observational health data sciences and informatics. OHDSI, San Bernardino, CA
Pagès-Castellà A, Carbonell C, Avilés F et al (2012) Burden of osteoporotic fractures in primary health care in Catalonia (Spain): a population-based study. BMC Musculoskelet Disord 13:79. https://doi.org/10.1186/1471-2474-13-79
Pladevall-Vila M, Pottegård A, Schink T et al (2019) Risk of acute liver injury in agomelatine and other antidepressant users in four European countries: a cohort and nested case–control study using automated health data sources. CNS Drugs 33. https://doi.org/10.1007/s40263-019-00611-9
Ponjoan A, Blanch J, Alves-Cabratosa L et al (2017) Effects of extreme temperatures on cardiovascular emergency hospitalizations in a Mediterranean region: a self-controlled case series study. Environ Health 16(1):32. https://doi.org/10.1186/s12940-017-0238-0
Ponjoan A, Garre-Olmo J, Blanch J et al (2019a) How well can electronic health records from primary care identify Alzheimer’s disease cases? Clin Epidemiol 11:509–518. https://doi.org/10.2147/CLEP.S206770
Ponjoan A, Garre-Olmo J, Blanch J et al (2019b) Epidemiology of dementia: prevalence and incidence estimates using validated electronic health records from primary care. Clin Epidemiol 11:217–228. https://doi.org/10.2147/CLEP.S186590
Prieto-Alhambra D, Judge A, Javaid M et al (2013) Incidence and risk factors for clinically diagnosed knee, hip and hand osteoarthritis: influences of age, gender and osteoarthritis affecting other joints. Ann Rheum Dis 73. https://doi.org/10.1136/annrheumdis-2013-203355
Ramos R, Balló E, Marrugat J et al (2012) Validez del Sistema de Información para el Desarrollo de la Investigación en Atención Primaria (SIDIAP) en el estudio de enfermedades vasculares: estudio EMMA. Rev Esp Cardiol 65(1):29–37. https://doi.org/10.1016/j.recesp.2011.07.017
Ramos R, Comas-Cufí M, Martí-Lluch R et al (2018) Statins for primary prevention of cardiovascular events and mortality in old and very old adults with and without type 2 diabetes: retrospective cohort study. BMJ 362:k3359. https://doi.org/10.1136/bmj.k3359
Recalde M, Manzano-Salgado C, Díaz Y et al (2019) Validation of cancer diagnoses in electronic health records: results from the information system for research in primary care (SIDIAP) In Northeast Spain. Clin Epidemiol 11:1015–1024. https://doi.org/10.2147/CLEP.S225568
SIDIAP (2020) Sistema d’Informació per al desenvolupament de la Investigació en Atenció Primària. https://www.sidiap.org/. Accessed 19 Feb 2020
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Duarte-Salles, T., Aragón, M., Bolíbar, B. (2021). The Information System for Research in Primary Care (SIDIAP). In: Sturkenboom, M., Schink, T. (eds) Databases for Pharmacoepidemiological Research. Springer Series on Epidemiology and Public Health. Springer, Cham. https://doi.org/10.1007/978-3-030-51455-6_15
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DOI: https://doi.org/10.1007/978-3-030-51455-6_15
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