El Proyecto BIFAP: Base de datos para la Investigación Farmacoepidemiológica en Atención Primaria

Rosa, A. Salvador; Pérez, J. Carola; Sonego, Daniel; Rodríguez, L.A. Garcia; Iglesias, Francisco J. de Abajo

doi:10.1016/s0212-6567(02)79129-4

Cited by 40 publications

(4 citation statements)

References 14 publications

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“…The HSD database is very similar to other Primary Care databases: for instance, in the UK, the Clinical Practice Research Datalink (CPRD, formerly GPRD),13 The Health Information Network (THIN)14 and QResearch;15 in Canada, the Canadian Primary Care Sentinel Surveillance Network (CPCSSN);16 in the Netherlands, the Integrated Primary Care Information database (IPCI);17 in Spain, the database Base de datos para la Investigación Farmacoepidemiológica en Atención Primaria (BIFAP) 18. A common feature of these countries is that the GP serves a well-defined population and is the gatekeeper to secondary care.…”

Section: Introductionmentioning

confidence: 94%

Automatic identification of type 2 diabetes, hypertension, ischaemic heart disease, heart failure and their levels of severity from Italian General Practitioners' electronic medical records: a validation study

Gini

Schuemie

Mazzaglia³

et al. 2016

BMJ Open

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ObjectivesThe Italian project MATRICE aimed to assess how well cases of type 2 diabetes (T2DM), hypertension, ischaemic heart disease (IHD) and heart failure (HF) and their levels of severity can be automatically extracted from the Health Search/CSD Longitudinal Patient Database (HSD). From the medical records of the general practitioners (GP) who volunteered to participate, cases were extracted by algorithms based on diagnosis codes, keywords, drug prescriptions and results of diagnostic tests. A random sample of identified cases was validated by interviewing their GPs.SettingHSD is a database of primary care medical records. A panel of 12 GPs participated in this validation study.Participants300 patients were sampled for each disease, except for HF, where 243 patients were assessed.Outcome measuresThe positive predictive value (PPV) was assessed for the presence/absence of each condition against the GP's response to the questionnaire, and Cohen's κ was calculated for agreement on the severity level.ResultsThe PPV was 100% (99% to 100%) for T2DM and hypertension, 98% (96% to 100%) for IHD and 55% (49% to 61%) for HF. Cohen's kappa for agreement on the severity level was 0.70 for T2DM and 0.69 for hypertension and IHD.ConclusionsThis study shows that individuals with T2DM, hypertension or IHD can be validly identified in HSD by automated identification algorithms. Automatic queries for levels of severity of the same diseases compare well with the corresponding clinical definitions, but some misclassification occurs. For HF, further research is needed to refine the current algorithm.

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Section: Introductionmentioning

confidence: 94%

Automatic identification of type 2 diabetes, hypertension, ischaemic heart disease, heart failure and their levels of severity from Italian General Practitioners' electronic medical records: a validation study

Gini

Schuemie

Mazzaglia³

et al. 2016

BMJ Open

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“…Each of the 17 regions has its own Health Service, which is the administrative and management body responsible for health centers, services and facilities in its region. 2 Regional Health Services integrated in the SNS provide universal access to healthcare to the entire Spanish population regardless their income. While regional variation on covered services and practice guidance are allowed, a portfolio of covered services and health benefits for the Spanish population are adopted for the whole SNS.…”

Section: Database Content 21 | Database In the Context Of The Spanmentioning

confidence: 99%

“…BIFAP is a nonprofit program administered and fully financed by the Spanish Agency for Medicines and Medical Devices (AEMPS) that started in 2001 when primary care EMRs where fully implemented throughout Spain. 1 Ten Autonomous Communities are committed to provide data through bilateral agreements (http://bifap.aemps.es).…”

mentioning

confidence: 99%

Base de Datos para la Investigación Farmacoepidemiológica en Atención Primaria (BIFAP): A data resource for pharmacoepidemiology in Spain

Maciá-Martínez

Gil

Huerta

et al. 2020

Pharmacoepidemiology and Drug

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Primaria (BIFAP) is a population based database administered by the AEMPS (Spanish Agency for Medicines) of longitudinal electronic medical records (EMR) of patients attended in primary care. Its main purpose is to serve as source of information for independent studies on drug safety and support of medicines regulation activities. This article aim is to describe the characteristics of BIFAP, how to access the database and a summary of its potential for research. Methods: Health problems are registered by primary care physicians as episodes of care and include socio-demographic data, results of diagnostic procedures, lifestyle data, general data, and interventions. A proportion of data on hospitalizations and specialist care are currently available through linkage with other data sources. EMRs

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“…Exploratory analysis had shown that the follow-up of the population captured in the BIFAP database was dynamic and therefore allowed for illustrative examples. The BIFAP-database is a primary care database from the National Health System in Spain [18]. The database is multi-regional.…”

Section: Data Illustration: Bifap Databasementioning

confidence: 99%

Estimation of vaccination coverage from electronic healthcare records; methods performance evaluation – A contribution of the ADVANCE-project

et al. 2019

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IntroductionThe Accelerated Development of VAccine beNefit-risk Collaboration in Europe (ADVANCE) is a public private collaboration aiming to develop and test a system for rapid benefit-risk (B/R) monitoring of vaccines, using existing electronic healthcare record (eHR) databases in Europe.Part of the data in such sources is missing due to incomplete follow-up hampering the accurate estimation of vaccination coverage. We compared different methods for coverage estimation from eHR databases; naïve period prevalence, complete case period prevalence, period prevalence adjusted for follow-up time, Kaplan-Meier (KM) analysis and (adjusted) inverse probability weighing (IPW).MethodsWe created simulation scenarios with different proportions of completeness of follow-up. Both completeness independent and dependent from vaccination date and status were considered. The root mean squared error (RMSE) and relative difference between the estimated and true coverage were used to assess the performance of the different methods for each of the scenarios. We included data examples on the vaccination coverage of human papilloma virus and pertussis component containing vaccines from the Spanish BIFAP database.ResultsUnder completeness independent from vaccination date or status, several methods provided estimates with bias close to zero. However, when dependence between completeness of follow-up and vaccination date or status was present, all methods generated biased estimates. The IPW/CDF methods were generally the least biased. Preference for a specific method should be based on the type of censoring and type of dependence between completeness of follow-up and vaccination. Additional insights into these aspects, might be gained by applying several methods.

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El Proyecto BIFAP: Base de datos para la Investigación Farmacoepidemiológica en Atención Primaria

Abstract: If BIFAP were viable, a standardised procedure for its use and protocols to support it as a research tool would be put in place.

Cited by 40 publications

References 14 publications

Automatic identification of type 2 diabetes, hypertension, ischaemic heart disease, heart failure and their levels of severity from Italian General Practitioners' electronic medical records: a validation study

Automatic identification of type 2 diabetes, hypertension, ischaemic heart disease, heart failure and their levels of severity from Italian General Practitioners' electronic medical records: a validation study

Base de Datos para la Investigación Farmacoepidemiológica en Atención Primaria (BIFAP): A data resource for pharmacoepidemiology in Spain

Estimation of vaccination coverage from electronic healthcare records; methods performance evaluation – A contribution of the ADVANCE-project

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