Calidad de las variables administrativas del Conjunto Mínimo Básico de Datos de Osakidetza-Servicio Vasco de Salud

Yetano, Javier; Izarzugaza, Isabel; Aldasoro, Elena; Ugarte, T. Toledo; López-Arbeloa, Gonzalo; Aguirre, Urko

doi:10.1016/s1134-282x(08)72610-1

Cited by 4 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several studies on the validity of MBDS conducted more than 1 decade ago have identified important reliability problems, 22 although more recent study suggests that data quality has improved. 23 However, there is a need for more studies on the validity of specific MBDS codes. 24 In addition, there are two other data sets that can be internally linked with the aforementioned data sets at an individual level: the mortality registry, with information on date and cause of death (since 2016, coded using ICD-10-ES), and the population register, which collects individual demographic and socioeconomic data.…”

Section: Resultsmentioning

confidence: 99%

Cross-national health care database utilization between Spain and France: results from the EPICHRONIC study assessing the prevalence of type 2 diabetes mellitus

Moulis¹,

Ibáñez²,

Palmaro³

et al. 2018

CLEP

View full text Add to dashboard Cite

AimThe EPICHRONIC (EPIdemiology of CHRONIC diseases) project investigated the possibility of developing common procedures for French and Spanish electronic health care databases to enable large-scale pharmacoepidemiological studies on chronic diseases. A feasibility study assessed the prevalence of type 2 diabetes mellitus (T2DM) in Navarre and the Basque Country (Spain) and the Midi-Pyrénées region (France).Patients and methodsWe described and compared database structures and the availability of hospital, outpatient, and drug-dispensing data from 5.9 million inhabitants. Due to differences in database structures and recorded data, we could not develop a common procedure to estimate T2DM prevalence, but identified an algorithm specific to each database. Patients were identified using primary care diagnosis codes previously validated in Spanish databases and a combination of primary care diagnosis codes, hospital diagnosis codes, and data on exposure to oral antidiabetic drugs from the French database.ResultsSpanish and French databases (the latter termed Système National d’Information Inter-Régimes de l’Assurance Maladie [SNIIRAM]) included demographic, primary care diagnoses, hospital diagnoses, and outpatient drug-dispensing data. Diagnoses were encoded using the International Classification of Primary Care (version 2) and the International Classification of Diseases, version 9 and version 10 (ICD-9 and ICD-10) in the Spanish databases, whereas the SNIIRAM contained ICD-10 codes. All data were anonymized before transferring to researchers. T2DM prevalence in the population over 20 years was estimated to be 6.6–7.0% in the Spanish regions and 6.3% in the Midi-Pyrénées region with ~2% higher estimates for males in the three regions.ConclusionTailored procedures can be designed to estimate the prevalence of T2DM in population-based studies from Spanish and French electronic health care records.

show abstract

Section: Resultsmentioning

confidence: 99%

Cross-national health care database utilization between Spain and France: results from the EPICHRONIC study assessing the prevalence of type 2 diabetes mellitus

Moulis¹,

Ibáñez²,

Palmaro³

et al. 2018

CLEP

View full text Add to dashboard Cite

show abstract

“…On the other hand, PCCDBs also have limitations in terms of completeness; they tend to be much more heterogeneous than databases and registries designed to collect data on specific pathologies and frequently present under-recording bias. Such information sources are usually fairly accurate regarding administrative data but suffer from significant heterogeneity in terms of quality with respect to the coding of discharge circumstances and comorbidities, among other questions [40,41]. Finally, PCCDBs may provide a useful complement to clinical databases.…”

Section: Pccdb Per Se and The Nihss Scalementioning

confidence: 99%

External Validation and Recalibration of a Mortality Prediction Model for Patients with Ischaemic Stroke

García-Torrecillas,

Lea-Pereira,

Amaya-Pascasio

et al. 2023

JCM

View full text Add to dashboard Cite

Background: Stroke is a highly prevalent disease that can provoke severe disability. We evaluate a predictive model based on the Minimum Basic Data Set (MBDS) compiled by the Spain Health Ministry, obtained for the period 2008–2012 for patients with ischaemic stroke in Spain, to establish the model’s validity and to optimise its calibration. The MBDS is the main clinical-administrative database for hospitalisations recorded in Spain, and to our knowledge, no predictive models for stroke mortality have previously been developed using this resource. The main study aim is to perform an external validation and recalibration of the coefficients of this predictive model with respect to a chronologically later cohort. Material and Methods: External validation (testing the model on a different cohort to assess its performance) and recalibration (validation with optimisation of model coefficients) were performed using the MBDS for patients admitted for ischaemic stroke in the period 2016–2018. A cohort study was designed, in which a recalibrated model was obtained by applying the variables of the original model without their coefficients. The variables from the original model were then applied to the subsequent cohort, together with the coefficients from the initial model. The areas under the curve (AUC) of the recalibration and the external validation procedure were compared. Results: The recalibrated model produced an AUC of 0.743 and was composed of the following variables: age (odds ratio, OR:1.073), female sex (OR:1.143), ischaemic heart disease (OR:1.192), hypertension (OR:0.719), atrial fibrillation (OR:1.414), hyperlipidaemia (OR:0.652), heart failure (OR:2.133) and posterior circulation stroke (OR: 0.755). External validation produced an AUC of 0.726. Conclusions: The recalibrated clinical model thus obtained presented moderate-high discriminant ability and was generalisable to predict death for patients with ischaemic stroke. Rigorous external validation slightly decreased the AUC but confirmed the validity of the baseline model for the chronologically later cohort.

show abstract

El médico responsable del paciente hospitalizado y sus implicaciones en la calidad de la asistencia

Yetano

Chueca

Aguirre

et al. 2009

Revista de Calidad Asistencial

View full text Add to dashboard Cite

Calidad de las variables administrativas del Conjunto Mínimo Básico de Datos de Osakidetza-Servicio Vasco de Salud

Cited by 4 publications

References 3 publications

Cross-national health care database utilization between Spain and France: results from the EPICHRONIC study assessing the prevalence of type 2 diabetes mellitus

Cross-national health care database utilization between Spain and France: results from the EPICHRONIC study assessing the prevalence of type 2 diabetes mellitus

External Validation and Recalibration of a Mortality Prediction Model for Patients with Ischaemic Stroke

El médico responsable del paciente hospitalizado y sus implicaciones en la calidad de la asistencia

Contact Info

Product

Resources

About