Mini-Sentinel's systematic reviews of validated methods for identifying health outcomes using administrative and claims data: methods and lessons learned.
about
Validation of chronic obstructive pulmonary disease (COPD) diagnoses in healthcare databases: a systematic review protocolClinical research informatics and electronic health record dataEnrollment factors and bias of disease prevalence estimates in administrative claims data.Harmonizing post-market surveillance of prescription drug misuse: a systematic review of observational studies using routinely collected data (2000-2013).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.Mini-Sentinel's systematic reviews of validated methods for identifying health outcomes using administrative data: summary of findings and suggestions for future research.A systematic review of validated methods for identifying cerebrovascular accident or transient ischemic attack using administrative dataA systematic review of validated methods for identifying ventricular arrhythmias using administrative and claims data.A systematic review of validated methods for identifying venous thromboembolism using administrative and claims data.A systematic review of validated methods for identifying depression using administrative data.A systematic review of validated methods for identifying suicide or suicidal ideation using administrative or claims data.A systematic review of validated methods for identifying seizures, convulsions, or epilepsy using administrative and claims data.A systematic review of validated methods for identifying pancreatitis using administrative data.A systematic review of validated methods for identifying lymphoma using administrative data.A systematic review of validated methods for identifying infection related to blood products, tissue grafts, or organ transplants using administrative data.A systematic review of validated methods for identifying transfusion-related sepsis using administrative and claims data.A systematic review of validated methods for identifying transfusion-related ABO incompatibility reactions using administrative and claims data.A systematic review of validated methods for identifying erythema multiforme major/minor/not otherwise specified, Stevens-Johnson Syndrome, or toxic epidermal necrolysis using administrative and claims data.A systematic review of validated methods for identifying anaphylaxis, including anaphylactic shock and angioneurotic edema, using administrative and claims data.A systematic review of validated methods for identifying hypersensitivity reactions other than anaphylaxis (fever, rash, and lymphadenopathy), using administrative and claims data.A systematic review of validated methods for identifying acute respiratory failure using administrative and claims data.A systematic review of validated methods for identifying orthopedic implant removal and revision using administrative data.Systematic review and meta-analysis of validation studies on a diabetes case definition from health administrative records.A formal concept analysis and semantic query expansion cooperation to refine health outcomes of interestObservation stays in administrative claims databases: underestimation of hospitalized cases.The Importance of Validation Studies in Perioperative Database ResearchValidity of breast, lung and colorectal cancer diagnoses in administrative databases: a systematic review protocol.Diagnostic accuracy of administrative data algorithms in the diagnosis of osteoarthritis: a systematic reviewReal World Data in Adaptive Biomedical Innovation: A Framework for Generating Evidence Fit for Decision-Making.Validity of peptic ulcer disease and upper gastrointestinal bleeding diagnoses in administrative databases: a systematic review protocol.Self-controlled designs in pharmacoepidemiology involving electronic healthcare databases: a systematic reviewIdentifying multiple myeloma patients using data from the French health insurance databases: Validation using a cancer registry.Harnessing a health information exchange to identify surgical device adverse events for urogynecologic mesh.Alternative outcome definitions and their effect on the performance of methods for observational outcome studies.Ascertainment of acute liver injury in two European primary care databases.Adverse reactions to oncologic drugs: spontaneous reporting and signal detection.Identifying health outcomes in healthcare databases.The future of population-based postmarket drug risk assessment: a regulator's perspective.The U.S. Food and Drug Administration's Mini-Sentinel program: status and direction.A novel approach for medical research on lymphomas: A study validation of claims-based algorithms to identify incident cases.
P2860
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P2860
Mini-Sentinel's systematic reviews of validated methods for identifying health outcomes using administrative and claims data: methods and lessons learned.
description
2012 nî lūn-bûn
@nan
2012 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Mini-Sentinel's systematic rev ...... : methods and lessons learned.
@ast
Mini-Sentinel's systematic rev ...... : methods and lessons learned.
@en
Mini-Sentinel's systematic rev ...... : methods and lessons learned.
@nl
type
label
Mini-Sentinel's systematic rev ...... : methods and lessons learned.
@ast
Mini-Sentinel's systematic rev ...... : methods and lessons learned.
@en
Mini-Sentinel's systematic rev ...... : methods and lessons learned.
@nl
prefLabel
Mini-Sentinel's systematic rev ...... : methods and lessons learned.
@ast
Mini-Sentinel's systematic rev ...... : methods and lessons learned.
@en
Mini-Sentinel's systematic rev ...... : methods and lessons learned.
@nl
P2860
P356
P1476
Mini-Sentinel's systematic rev ...... : methods and lessons learned.
@en
P2093
Kevin G Moores
P2860
P356
10.1002/PDS.2321
P478
21 Suppl 1
P577
2012-01-01T00:00:00Z