TY - JOUR
T1 - Medication Use and Clinical Outcomes by the Dutch Institute for Clinical Auditing Medicines Program
T2 - Quantitative Analysis
AU - Ismail, Rawa Kamaran
AU - van Breeschoten, Jesper
AU - van der Flier, Silvia
AU - van Loosen, Caspar
AU - Pasmooij, Anna Maria Gerdina
AU - van Dartel, Maaike
AU - van den Eertwegh, Alfons
AU - de Boer, Anthonius
AU - Wouters, Michel
AU - Hilarius, Doranne
N1 - ©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. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 23.06.2022.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - BACKGROUND: The 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.OBJECTIVE: The 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.METHODS: A 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.RESULTS: A 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.CONCLUSIONS: The 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.
AB - BACKGROUND: The 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.OBJECTIVE: The 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.METHODS: A 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.RESULTS: A 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.CONCLUSIONS: The 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.
KW - cancer
KW - medicines
KW - quality of care
KW - real-world data
UR - http://www.scopus.com/inward/record.url?scp=85133060883&partnerID=8YFLogxK
U2 - 10.2196/33446
DO - 10.2196/33446
M3 - Article
C2 - 35737449
SN - 1439-4456
VL - 24
JO - Journal of Medical Internet Research
JF - Journal of Medical Internet Research
IS - 6
M1 - e33446
ER -