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Datenbankbasierte epidemiologische Untersuchungen zur Behandlung von Patienten mit Diabetes mellitus
Dr. Karel Kostev
Datenbankbasierte epidemiologische Untersuchungen zur Behandlung von...
Möglichkeiten der Anwendung von der Patientendatenbank „IMS® Disease Analyzer" in der medizinischen und epidemiologischen Forschung am Beispiel des Diabetes mellitus
Die Erkrankung Diabetes mellitus stellt ein wesentliches gesundheitliches und ökonomisches Problem dar. In den Industrieländern wird die Prävalenz auf 6-8% geschätzt. In der vorliegenden Arbeit wurde die Versorgungssituation von Patienten mit Typ-2-Diabetes mittels der Patientendatenbank "Disease Analyzer" analysiert und 6 publizierte Untersuchungen zusammengefasst. Neben der Untersuchung über die Validität der Datenbank, wurde die zeitliche Entwicklung der Prävalenz von Diabetes mellitus und antidiabetischen Therapien analysiert, die wichtigsten oralen antidiabetischen Substanzklassen und Insulintherapien hinsichtlich ihrer Wirkung auf die Reduktion des HbA1c-Wertes untersucht, der Einsatz des langwirksamen Insulins Glargin unter den Bedingungen der ambulanten Routineversorgung beschrieben. Die Ergebnisse der vorliegenden Arbeit bestätigen den wissenschaftlichen Stellenwert der Patientendatenbanken in der pharmakoepidemiologischen Forschung. Auf Grundlage der repräsentativen Fallzahlen in der Datenbank ist es möglich, sowohl beschreibende Querschnittsuntersuchungen durchzuführen, als auch Subgruppen von Patienten longitudinal zu verfolgen, um Therapieeffekte einzelner Medikamente zu untersuchen.
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34,95 € *
9783941274440
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Medical Care in Germany -  Epidemiology, Health Economics and Outcome Research
Dr. Gabriele Haas, Dr. Karel Kostev (Hg.)
Medical Care in Germany - Epidemiology, Health Economics and Outcome Research
Epidemiology, Health Economics and Outcome Research with IMS Patient Database
Pharmacoepidemiological databases are a very useful tool, without which well-directed quality improvements and targeted risk management of adverse drug effects would not be possible. Data from such retrospective databases allow investigations into specific subpopulations - e.g., groups with specific diagnoses - thanks to their size and duration of observation. Regarding the quality of such data, it has been proven that carefully planned observational studies can produce results comparable to those of randomized controlled trials. This book presents eight epidemiological and health-economic studies based on two large epidemiological databases: IMS Disease Analyzer database and IMS LRx.. The IMS® Disease Analyzer patient database is one of the most comprehensive pharmacoepidemiological databases in Europe. It has been the basis of a number of studies and peer-reviewed scientific publications in the fields of pharmacoepidemiology, health economics, pharmacovigilance, compliance/persistence, pharmaceutical guidelines, prescribing behavior, and drug application. Using these databases, a great number of studies have been conducted to analyze the duration, adverse effects, success, costs, and courses of and compliance with therapies and therapy changes. The studies also play an important part in drug safety and risk prevention. The IMS® LRx database accesses nationwide pharmacy data centers processing prescription data of all German patients with statutory health insurance for reimbursement purposes. It contains roughly 95 % of all prescriptions issued nationwide since 2008. The compilation of studies in this book illustrates the benefits of secondary data in the form of retrospective databases for everyday healthcare.
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29,90 € *
9783941274907
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