Pregnancy-related diagnosis codelist developed for the ConcePTION pregnancy algorithm
- Girardi, Anna1
- Riera-Arnau, Judit2
- Duràn, Carlos E.2
- Sturkenboom, Miriam2
- Afonso, Ana Sofia3
- Dodd, Caitlin2
- Ehrenstein, Vera4
- Garcia, Patricia5
- Hurley, Eimir6
- Le Noan-Laine, Maryline7
- Martín-Pérez, Mar5
- Mitter, Vera8
- Mohammadi, Sima2
- Nordeng, Hedvig9
- Pajouheshnia, Romin10, 11
- Shink, Tania12
- Hyeraci, Giulia1
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1.
Agenzia Regionale di Sanità della Toscana
- 2. University Medical Center Utrecht (UMCU)
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3.
Eli Lilly (Netherlands)
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4.
Aarhus University
- 5. Agencia Española de Medicamentos y Productos Sanitarios (AEMPS)
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6.
University of Oslo
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7.
Eli Lilly (Ireland)
- 8. Bern University of Applied Sciences
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9.
Norwegian Institute of Public Health
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10.
Utrecht University
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11.
RTI Health Solutions
- 12. Leibniz Institute for Prevention Research and Epidemiology (BIPS)
Description
The IMI ConcePTION project aims to build an ecosystem to generate Real World Evidence to address the information gap in medication safety in pregnancy.
The ConcePTION pregnancy algorithm was developed as part of the IMI ConcePTION project and aimed at identifying a comprehensive list of pregnancies experienced by the population in European healthcare data sources. To achieve this, the ConcePTION pregnancy algorithm was designed to retrieve any record implying a pregnancy at record date from multiple data provenance, for instance, records of birth registries, congenital anomalies register, hospital admission and discharge, primary care.
The diagnosis code list named “PrA_Codelist” was developed and integrated into the ConcePTION pregnancy algorithm to identify records with a diagnostic code implying that the person is experiencing an ongoing or an end of pregnancy.
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