Calculating daily dose in the Observational Medical Outcomes Partnership Common Data Model. Burkard, T., López-Güell, K., Gorbachev, A., Bellas, L., Jödicke, A. M., Burn, E., de Ridder, M., Mosseveld, M., Gratton, J., Seager, S., Vojinovic, D., Mayer, M. A., Ramírez-Anguita, J. M., Machín, A. L., Oja, M., Kolde, R., Bonadt, K., Prieto-Alhambra, D., Reich, C., & Català, M. Pharmacoepidemiol Drug Saf, 33(6):e5809, 2024. 1099-1557 Burkard, Theresa Orcid: 0000-0003-1313-4473 López-Güell, Kim Gorbachev, Artem Bellas, Lucía Jödicke, Annika M Burn, Edward de Ridder, Maria Mosseveld, Mees Gratton, Jasmine Seager, Sarah Vojinovic, Dina Mayer, Miguel Angel Ramírez-Anguita, Juan Manuel Machín, Angela Leis Oja, Marek Kolde, Raivo Bonadt, Klaus Prieto-Alhambra, Daniel Orcid: 0000-0002-3950-6346 Reich, Chistian Català, Martí EMA/2021/08/TDA/Darwin EU/ Ehden/ Journal Article Research Support, Non-U.S. Gov't England 2024/05/22 Pharmacoepidemiol Drug Saf. 2024 Jun;33(6):e5809. doi: 10.1002/pds.5809.doi abstract bibtex PURPOSE: We aimed to develop a standardized method to calculate daily dose (i.e., the amount of drug a patient was exposed to per day) of any drug on a global scale using only drug information of typical observational data in the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) and a single reference table from Observational Health Data Sciences And Informatics (OHDSI). MATERIALS AND METHODS: The OMOP DRUG_STRENGTH reference table contains information on the strength or concentration of drugs, whereas the OMOP DRUG_EXPOSURE table contains information on patients' drug prescriptions or dispensations/claims. Based on DRUG_EXPOSURE data from the primary care databases Clinical Practice Research Datalink GOLD (United Kingdom) and Integrated Primary Care Information (IPCI, The Netherlands) and healthcare claims from PharMetrics® Plus for Academics (USA), we developed four formulas to calculate daily dose given different DRUG_STRENGTH reference table information. We tested the dose formulas by comparing the calculated median daily dose to the World Health Organization (WHO) Defined Daily Dose (DDD) for six different ingredients in those three databases and additional four international databases representing a variety of healthcare settings: MAITT (Estonia, healthcare claims and discharge summaries), IQVIA Disease Analyzer Germany (outpatient data), IQVIA Longitudinal Patient Database Belgium (outpatient data), and IMASIS Parc Salut (Spain, hospital data). Finally, in each database, we assessed the proportion of drug records for which daily dose calculations were possible using the suggested formulas. RESULTS: Applying the dose formulas, we obtained median daily doses that generally matched the WHO DDD definitions. Our dose formulas were applicable to >85% of drug records in all but one of the assessed databases. CONCLUSION: We have established and implemented a standardized daily dose calculation in OMOP CDM providing reliable and reproducible results.
@article{RN278,
author = {Burkard, T. and López-Güell, K. and Gorbachev, A. and Bellas, L. and Jödicke, A. M. and Burn, E. and de Ridder, M. and Mosseveld, M. and Gratton, J. and Seager, S. and Vojinovic, D. and Mayer, M. A. and Ramírez-Anguita, J. M. and Machín, A. L. and Oja, M. and Kolde, R. and Bonadt, K. and Prieto-Alhambra, D. and Reich, C. and Català, M.},
title = {Calculating daily dose in the Observational Medical Outcomes Partnership Common Data Model},
journal = {Pharmacoepidemiol Drug Saf},
volume = {33},
number = {6},
pages = {e5809},
note = {1099-1557 Burkard, Theresa Orcid: 0000-0003-1313-4473 López-Güell, Kim Gorbachev, Artem Bellas, Lucía Jödicke, Annika M Burn, Edward de Ridder, Maria Mosseveld, Mees Gratton, Jasmine Seager, Sarah Vojinovic, Dina Mayer, Miguel Angel Ramírez-Anguita, Juan Manuel Machín, Angela Leis Oja, Marek Kolde, Raivo Bonadt, Klaus Prieto-Alhambra, Daniel Orcid: 0000-0002-3950-6346 Reich, Chistian Català, Martí EMA/2021/08/TDA/Darwin EU/ Ehden/ Journal Article Research Support, Non-U.S. Gov't England 2024/05/22 Pharmacoepidemiol Drug Saf. 2024 Jun;33(6):e5809. doi: 10.1002/pds.5809.},
abstract = {PURPOSE: We aimed to develop a standardized method to calculate daily dose (i.e., the amount of drug a patient was exposed to per day) of any drug on a global scale using only drug information of typical observational data in the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) and a single reference table from Observational Health Data Sciences And Informatics (OHDSI). MATERIALS AND METHODS: The OMOP DRUG_STRENGTH reference table contains information on the strength or concentration of drugs, whereas the OMOP DRUG_EXPOSURE table contains information on patients' drug prescriptions or dispensations/claims. Based on DRUG_EXPOSURE data from the primary care databases Clinical Practice Research Datalink GOLD (United Kingdom) and Integrated Primary Care Information (IPCI, The Netherlands) and healthcare claims from PharMetrics® Plus for Academics (USA), we developed four formulas to calculate daily dose given different DRUG_STRENGTH reference table information. We tested the dose formulas by comparing the calculated median daily dose to the World Health Organization (WHO) Defined Daily Dose (DDD) for six different ingredients in those three databases and additional four international databases representing a variety of healthcare settings: MAITT (Estonia, healthcare claims and discharge summaries), IQVIA Disease Analyzer Germany (outpatient data), IQVIA Longitudinal Patient Database Belgium (outpatient data), and IMASIS Parc Salut (Spain, hospital data). Finally, in each database, we assessed the proportion of drug records for which daily dose calculations were possible using the suggested formulas. RESULTS: Applying the dose formulas, we obtained median daily doses that generally matched the WHO DDD definitions. Our dose formulas were applicable to >85% of drug records in all but one of the assessed databases. CONCLUSION: We have established and implemented a standardized daily dose calculation in OMOP CDM providing reliable and reproducible results.},
keywords = {Humans
*Databases, Factual/statistics & numerical data
United Kingdom
Drug Dosage Calculations
Netherlands
Primary Health Care
Pharmacoepidemiology/methods
World Health Organization
Omop
Who ddd
common data model
dose},
ISSN = {1053-8569},
DOI = {10.1002/pds.5809},
year = {2024},
type = {Journal Article}
}
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L.","Oja, M.","Kolde, R.","Bonadt, K.","Prieto-Alhambra, D.","Reich, C.","Català, M."],"bibdata":{"bibtype":"article","type":"Journal Article","author":[{"propositions":[],"lastnames":["Burkard"],"firstnames":["T."],"suffixes":[]},{"propositions":[],"lastnames":["López-Güell"],"firstnames":["K."],"suffixes":[]},{"propositions":[],"lastnames":["Gorbachev"],"firstnames":["A."],"suffixes":[]},{"propositions":[],"lastnames":["Bellas"],"firstnames":["L."],"suffixes":[]},{"propositions":[],"lastnames":["Jödicke"],"firstnames":["A.","M."],"suffixes":[]},{"propositions":[],"lastnames":["Burn"],"firstnames":["E."],"suffixes":[]},{"propositions":["de"],"lastnames":["Ridder"],"firstnames":["M."],"suffixes":[]},{"propositions":[],"lastnames":["Mosseveld"],"firstnames":["M."],"suffixes":[]},{"propositions":[],"lastnames":["Gratton"],"firstnames":["J."],"suffixes":[]},{"propositions":[],"lastnames":["Seager"],"firstnames":["S."],"suffixes":[]},{"propositions":[],"lastnames":["Vojinovic"],"firstnames":["D."],"suffixes":[]},{"propositions":[],"lastnames":["Mayer"],"firstnames":["M.","A."],"suffixes":[]},{"propositions":[],"lastnames":["Ramírez-Anguita"],"firstnames":["J.","M."],"suffixes":[]},{"propositions":[],"lastnames":["Machín"],"firstnames":["A.","L."],"suffixes":[]},{"propositions":[],"lastnames":["Oja"],"firstnames":["M."],"suffixes":[]},{"propositions":[],"lastnames":["Kolde"],"firstnames":["R."],"suffixes":[]},{"propositions":[],"lastnames":["Bonadt"],"firstnames":["K."],"suffixes":[]},{"propositions":[],"lastnames":["Prieto-Alhambra"],"firstnames":["D."],"suffixes":[]},{"propositions":[],"lastnames":["Reich"],"firstnames":["C."],"suffixes":[]},{"propositions":[],"lastnames":["Català"],"firstnames":["M."],"suffixes":[]}],"title":"Calculating daily dose in the Observational Medical Outcomes Partnership Common Data Model","journal":"Pharmacoepidemiol Drug Saf","volume":"33","number":"6","pages":"e5809","note":"1099-1557 Burkard, Theresa Orcid: 0000-0003-1313-4473 López-Güell, Kim Gorbachev, Artem Bellas, Lucía Jödicke, Annika M Burn, Edward de Ridder, Maria Mosseveld, Mees Gratton, Jasmine Seager, Sarah Vojinovic, Dina Mayer, Miguel Angel Ramírez-Anguita, Juan Manuel Machín, Angela Leis Oja, Marek Kolde, Raivo Bonadt, Klaus Prieto-Alhambra, Daniel Orcid: 0000-0002-3950-6346 Reich, Chistian Català, Martí EMA/2021/08/TDA/Darwin EU/ Ehden/ Journal Article Research Support, Non-U.S. Gov't England 2024/05/22 Pharmacoepidemiol Drug Saf. 2024 Jun;33(6):e5809. doi: 10.1002/pds.5809.","abstract":"PURPOSE: We aimed to develop a standardized method to calculate daily dose (i.e., the amount of drug a patient was exposed to per day) of any drug on a global scale using only drug information of typical observational data in the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) and a single reference table from Observational Health Data Sciences And Informatics (OHDSI). 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We tested the dose formulas by comparing the calculated median daily dose to the World Health Organization (WHO) Defined Daily Dose (DDD) for six different ingredients in those three databases and additional four international databases representing a variety of healthcare settings: MAITT (Estonia, healthcare claims and discharge summaries), IQVIA Disease Analyzer Germany (outpatient data), IQVIA Longitudinal Patient Database Belgium (outpatient data), and IMASIS Parc Salut (Spain, hospital data). Finally, in each database, we assessed the proportion of drug records for which daily dose calculations were possible using the suggested formulas. RESULTS: Applying the dose formulas, we obtained median daily doses that generally matched the WHO DDD definitions. Our dose formulas were applicable to >85% of drug records in all but one of the assessed databases. CONCLUSION: We have established and implemented a standardized daily dose calculation in OMOP CDM providing reliable and reproducible results.","keywords":"Humans *Databases, Factual/statistics & numerical data United Kingdom Drug Dosage Calculations Netherlands Primary Health Care Pharmacoepidemiology/methods World Health Organization Omop Who ddd common data model dose","issn":"1053-8569","doi":"10.1002/pds.5809","year":"2024","bibtex":"@article{RN278,\r\n author = {Burkard, T. and López-Güell, K. and Gorbachev, A. and Bellas, L. and Jödicke, A. M. and Burn, E. and de Ridder, M. and Mosseveld, M. and Gratton, J. and Seager, S. and Vojinovic, D. and Mayer, M. A. and Ramírez-Anguita, J. M. and Machín, A. 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We tested the dose formulas by comparing the calculated median daily dose to the World Health Organization (WHO) Defined Daily Dose (DDD) for six different ingredients in those three databases and additional four international databases representing a variety of healthcare settings: MAITT (Estonia, healthcare claims and discharge summaries), IQVIA Disease Analyzer Germany (outpatient data), IQVIA Longitudinal Patient Database Belgium (outpatient data), and IMASIS Parc Salut (Spain, hospital data). Finally, in each database, we assessed the proportion of drug records for which daily dose calculations were possible using the suggested formulas. RESULTS: Applying the dose formulas, we obtained median daily doses that generally matched the WHO DDD definitions. Our dose formulas were applicable to >85% of drug records in all but one of the assessed databases. 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