To order to detect possible misdiagnosis and misclassification of diabetes, three algorithms were created by identification: DM1, indeterminate DM2 and antidiabetic treatment without diagnosis. DM1 without insulin treatment, patients with indeterminate DM and those treated without any diabetes diagnosis were reclassified.
Mata-Cases M, Mauricio D, Real J, Bolíbar B, Franch-Nadal J. Is diabetes mellitus correctly registered and classified in primary care? A population-based study in Catalonia, Spain. Endocrinol Nutr. 2016 Nov;63(9):440-448. doi: 10.1016/j.endonu.2016.07.004. Epub 2016 Sep 6.
To identify the MPOC population and ensure correct diagnosis, an algorithm was created based on age criteria, smoking history and obstructive spirometry.
Barrecheguren M, Monteagudo M, Ferrer J, Borrell E, Llor C, Esquinas C, Miravitlles M. Treatment patterns in COPD patients newly diagnosed in primary care. A population-based study. Respir Med. 2016 Feb;111:47-53. doi: 10.1016/j.rmed.2015.12.004
SIDIAP was cross-referenced with data from the Hospital de Mar tumour registry and the sensitivity and positive predictive value were calculated for five types of cancer (cervical, breast, colorectal, prostate and lung).
Garcia-Gil M, Elorza JM, Banque M, Comas-Cufí M, Blanch J, Ramos R, Mendez-Boo L, Hermosilla E, Bolibar B, Prieto-Alhambra D. Linking of primary care records to census data to study the assosciations between socioeconomic status and cancer incidences in Southers Europe: a nation-wide ecological study. Plos One 2014;9(10):e109706.
Validation by comparing the prevalence observed in the SIDIAP with that expected from previous cohort studies. Additionally, it was shown that the % of patients with rheumatoid factor + (among those with data) was similar to that expected.
Fina-Aviles F, Medina-Peralta M, Mendez-Boo L, Hermosilla E, Elorza JM, Garcia-Gil M, Ramos R, Bolibar B, Javaid MK, Edwards CJ, Cooper C, Arden NK, Prieto-Alhambra D. The descriptive epidemiology of rheumatoid arthritis in Catalonia: a retrospective study using routinely collected data. Clin Rheumatol. 2014 Oct 26
Validation by comparing the prevalence observed in the SIDIAP with that observed and regarded as a gold-standard of the REGICOR registry. Additionally, the incidence of cardiovascular disease and the association with risk factors were compared.
Ramos R, Balló E, Marrugat J, Elosua R, Sala J, Grau M, Vila J, Bolibar B, Garcia-Gil M, Martí R, Fina F, Hermosilla E, Rosell M, Muñoz MA, Prieto-Alhambra D, Quesada M. 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. Rev Esp Cardiol. 2012 Jan;65(1):29-37
The aim of this study was to validate 25 incidental cancer types at the SIDIAP using the population-based cancer registries of Girona and Tarragona as a gold-standard. We observed that the SIDIAP includes 76% of the cancer diagnoses appearing in the cancer registries although it also includes numerous cases that are not recorded in the registries (39%). Overall, the results support the use of SIDIAP cancer diagnoses for epidemiological research when cancer is the outcome of interest.
Recalde M, Manzano-Salgado CB, Díaz Y, Puente D, Garcia-Gil MDM, Marcos-Gragera R, Ribes-Puig J, Galceran J, Posso M, Macià F, Duarte-Salles T. Validation Of Cancer Diagnoses In Electronic Health Records: Results From The Information System For Research In Primary Care (SIDIAP) In Northeast Spain. Clin Epidemiol. 2019 ; 11:1015-1024. doi:10.2147/CLEP.S225568. Epub 2019 Dec 03. pmc:PMC6899079. PMID:31819655.