Medication Use and Clinical Outcomes by the Dutch Institute for Clinical Auditing Medicines Program: Quantitative Analysis

BackgroundThe Dutch Institute for Clinical Auditing (DICA) Medicines Program was set up in September 2018 to evaluate expensive medicine use in daily practice in terms of real-world effectiveness using only existing data sources. ObjectiveThe aim of this study is to describe the potential of the addition of declaration data to quality registries to provide participating centers with benchmark information about the use of medicines and outcomes among patients. MethodsA total of 3 national population-based registries were linked to clinical and financial data from the hospital pharmacy, the Dutc... Mehr ...

Verfasser: Rawa Kamaran Ismail
Jesper van Breeschoten
Silvia van der Flier
Caspar van Loosen
Anna Maria Gerdina Pasmooij
Maaike van Dartel
Alfons van den Eertwegh
Anthonius de Boer
Michel Wouters
Doranne Hilarius
Dokumenttyp: Artikel
Erscheinungsdatum: 2022
Reihe/Periodikum: Journal of Medical Internet Research, Vol 24, Iss 6, p e33446 (2022)
Verlag/Hrsg.: JMIR Publications
Schlagwörter: Computer applications to medicine. Medical informatics / R858-859.7 / Public aspects of medicine / RA1-1270
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27019481
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.2196/33446

BackgroundThe Dutch Institute for Clinical Auditing (DICA) Medicines Program was set up in September 2018 to evaluate expensive medicine use in daily practice in terms of real-world effectiveness using only existing data sources. ObjectiveThe aim of this study is to describe the potential of the addition of declaration data to quality registries to provide participating centers with benchmark information about the use of medicines and outcomes among patients. MethodsA total of 3 national population-based registries were linked to clinical and financial data from the hospital pharmacy, the Dutch diagnosis treatment combinations information system including in-hospital activities, and survival data from health care insurers. The first results of the real-world data (RWD) linkage are presented using descriptive statistics to assess patient, tumor, and treatment characteristics. Time-to-next-treatment (TTNT) and overall survival (OS) were estimated using the Kaplan-Meier method. ResultsA total of 21 Dutch hospitals participated in the DICA Medicines Program, which included 7412 patients with colorectal cancer, 1981 patients with metastasized colon cancer, 3860 patients with lung cancer, 1253 patients with metastasized breast cancer, and 7564 patients with rheumatic disease. The data were used for hospital benchmarking to gain insights into medication use in specific patient populations, treatment information, clinical outcomes, and costs. Detailed treatment information (duration and treatment steps) led to insights into differences between hospitals in daily clinical practices. Furthermore, exploratory analyses on clinical outcomes (TTNT and OS) were possible. ConclusionsThe DICA Medicines Program shows that it is possible to gather and link RWD about medicines to 4 disease-specific population-based registries. Since these RWD became available with minimal registration burden and effort for hospitals, this method can be explored in other population-based registries to evaluate real-world efficacy.