Combining multiple healthcare databases for postmarketing drug and vaccine safety surveillance: why and how? - Wikidata - awgldk - TriplyDB

Combining multiple healthcare databases for postmarketing drug and vaccine safety surveillance: why and how?

Combining multiple healthcare databases for postmarketing drug and vaccine safety surveillance: why and how?

http://www.wikidata.org/entity/Q26996499

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Enhancing vaccine safety capacity globally: A lifecycle perspective Pharmacoepidemiological safety studies in children: a systematic review Identifying Cases of Type 2 Diabetes in Heterogeneous Data Sources: Strategy from the EMIF Project DataSHIELD: taking the analysis to the data, not the data to the analysis Considerations for the analysis of longitudinal electronic health records linked to claims data to study the effectiveness and safety of drugs.Converting to a common data model: what is lost in translation? : Commentary on "fidelity assessment of a clinical practice research datalink conversion to the OMOP common data model".Data Extraction and Management in Networks of Observational Health Care Databases for Scientific Research: A Comparison of EU-ADR, OMOP, Mini-Sentinel and MATRICE Strategies.Helping everyone do better: a call for validation studies of routinely recorded health data Data Resource Profile: The Scottish National Prescribing Information System (PIS)Use of azithromycin and risk of ventricular arrhythmia.Clinical epidemiology in the era of big data: new opportunities, familiar challenges.Allergic adverse events following 2015 seasonal influenza vaccine, Victoria, Australia.Information Technology for Clinical, Translational and Comparative Effectiveness Research. Findings from the Yearbook 2015 Section on Clinical Research Informatics.Scaling up health knowledge at European level requires sharing integrated data: an approach for collection of database specification.Real World Data in Adaptive Biomedical Innovation: A Framework for Generating Evidence Fit for Decision-Making.Improving the safety of vaccine delivery.CodeMapper: semiautomatic coding of case definitions. A contribution from the ADVANCE project.Individual-based versus aggregate meta-analysis in multi-database studies of pregnancy outcomes: the Nordic example of selective serotonin reuptake inhibitors and venlafaxine in pregnancy.Social Media Listening for Routine Post-Marketing Safety Surveillance.From Big Data to Smart Data for Pharmacovigilance: The Role of Healthcare Databases and Other Emerging Sources.Use of antihistamines and risk of ventricular tachyarrhythmia: a nested case-control study in five European countries from the ARITMO project.Combining evidence from multiple electronic health care databases: performances of one-stage and two-stage meta-analysis in matched case-control studies.Using Multiple Pharmacovigilance Models Improves the Timeliness of Signal Detection in Simulated Prospective Surveillance.Conducting Privacy-Preserving Multivariable Propensity Score Analysis When Patient Covariate Information Is Stored in Separate Locations.Antibiotic use varies substantially among adults: a cross-national study from five European Countries in the ARITMO project.[Benefits of large healthcare databases for drug risk research].Reporting to Improve Reproducibility and Facilitate Validity Assessment for Healthcare Database Studies V1.0.The hope, hype and reality of Big Data for pharmacovigilance.Balancing the Need for Personalization of QT Correction and Generalization of Study Results: Going Beyond Thorough QT Studies.Sources of Safety Data and Statistical Strategies for Design and Analysis: Real World Insights.Electronic healthcare databases in Europe: descriptive analysis of characteristics and potential for use in medicines regulation Opportunities and Challenges in Using Epidemiologic Methods to Monitor Drug Safety in the Era of Large Automated Health Databases

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P2860

Combining multiple healthcare databases for postmarketing drug and vaccine safety surveillance: why and how?

http://www.wikidata.org/entity/Q26996499

description

2014 nî lūn-bûn

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2014 թուականի Յունիսին հրատարակուած գիտական յօդուած

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2014 թվականի հունիսին հրատարակված գիտական հոդված

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2014年の論文

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2014年论文

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Combining multiple healthcare ...... ety surveillance: why and how?

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Combining multiple healthcare ...... ety surveillance: why and how?

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Combining multiple healthcare ...... ety surveillance: why and how?

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Journal of Internal Medicine

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Combining multiple healthcare ...... ety surveillance: why and how?

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B Mosseveld

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D Weibel

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G Trifirò

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J van der Lei

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M Schuemie

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S Romio

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P2860

Vaccine Safety Datalink project: a new tool for improving vaccine safety monitoring in the United States. The Vaccine Safety Datalink Team

Harmonization process for the identification of medical events in eight European healthcare databases: the experience from the EU-ADR project

Guillain-Barre syndrome and adjuvanted pandemic influenza A (H1N1) 2009 vaccine: multinational case-control study in Europe

The incidence of narcolepsy in Europe: before, during, and after the influenza A(H1N1)pdm09 pandemic and vaccination campaigns.

Data mining for signals in spontaneous reporting databases: proceed with caution.

Limitations and strengths of spontaneous reports data.

A collaborative approach to investigating the risk of thrombocytopenic purpura after measles-mumps-rubella vaccination in England and Denmark.

Data mining on electronic health record databases for signal detection in pharmacovigilance: which events to monitor?

Improving reporting of adverse drug reactions: Systematic review.

Pharmacovigilance in perspective.

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551-561

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843559

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10.1111/JOIM.12159

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6

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275

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Miriam Sturkenboom

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2014-06-01T00:00:00Z

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260837308

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24635221

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