title: Differences in utilization rates between commercial and administrative databases: implications for future health-economic and cross-national studies.
authors.affiliation: a Department of Pathology Forensic Medicine and Pharmacology, Faculty of Medicine , Vilnius University , Vilnius , Lithuania.|b Medicines Reimbursement Department , National Health Insurance Fund , Vilnius , Lithuania.
authors.forename: Kristina
authors.initials: K
authors.lastname: Garuolienė
authors.affiliation: c Department of Laboratory Medicine, Division of Clinical Pharmacology , Karolinska Institutet, Karolinska University Hospital Huddinge , Stockholm , Sweden.|d Strathclyde Institute of Pharmacy and Biomedical Sciences , Strathclyde University , Glasgow , UK.
authors.forename: Brian
authors.initials: B
authors.lastname: Godman
authors.affiliation: a Department of Pathology Forensic Medicine and Pharmacology, Faculty of Medicine , Vilnius University , Vilnius , Lithuania.|e Unit for cooperation with European Medicines Agency and International Relations, State Medicines Control Agency , Vilnius , Lithuania.
authors.forename: Jolanta
authors.initials: J
authors.lastname: Gulbinovič
authors.affiliation: f Institute of Health, Policy and Management (iBMG), Erasmus University , Rotterdam , The Netherlands.
authors.forename: Krijn
authors.initials: K
authors.lastname: Schiffers
authors.affiliation: c Department of Laboratory Medicine, Division of Clinical Pharmacology , Karolinska Institutet, Karolinska University Hospital Huddinge , Stockholm , Sweden.|g Centre for Pharmacoepidemiology , Karolinska Institute, Karolinska University Hospital Solna , Stockholm , Sweden.
authors.forename: Björn
authors.initials: B
authors.lastname: Wettermark
mesh_terms: D016208:Databases, Factual / Q000706:statistics & numerical data*; D004363:Drug Utilization / Q000706:statistics & numerical data*; D004470:Economics, Medical / Q000706:statistics & numerical data; D006801:Humans; D012107:Research Design
keywords: Lithuania; PPIs; administrative databases; antidepressants; budget impact analysis; commercial databases; drug utilization studies; health economics; health policy; renin-angiotensin inhibitors; statins