Development of algorithms to determine the onset of pregnancy and delivery date using health care administrative data in a university hospital in Japan

Tomofumi Ishikawa, Taku Obara, Hidekazu Nishigori, Keiko Miyakoda, Ryusuke Inoue, Tetsuro Hoshiai, Masatoshi Saito, Nobuo Yaegashi, Nariyasu Mano

研究成果: Article査読

7 被引用数 (Scopus)

抄録

Purpose: To develop and assess algorithms to determine the onset of pregnancy and delivery date using health administrative data from a university hospital in Japan. Methods: All women who were hospitalized in the maternity ward and had at least one pregnancy that ended with a delivery during the period of January 2014 and December 2015 were included in this study. The true delivery date was obtained from the electronic medical records and was used as a gold standard. The onset of pregnancy was calculated by subtracting the gestational age at birth from the delivery date based on the electronic medical records and was also used as a gold standard. The administrative data-based algorithms to identify (1) the onset of pregnancy estimated from the gestational age recorded as part of a diagnosis during a specific visit and (2) the delivery date estimated using the delivery-related diagnosis, procedure, or prescription were compared with the gold-standard data. Results: Of the 1705 women included in this study, the onset of pregnancy was determined in 1704 subjects with 1582 (92.8%) within ± 7 days from the gold-standard date of pregnancy onset. The delivery date was determined in 1654 subjects, and 1594 (96.4%) were within ± 7 days before the true delivery date using the algorithm of "selected" diagnosis and a surgical procedure followed by some other delivery-related data. Conclusions: The algorithms developed in this study are expected to accelerate future studies for real-world exposure and quantify drug safety during pregnancy using Japanese health care administrative databases.

本文言語English
ジャーナルPharmacoepidemiology and Drug Safety
DOI
出版ステータスAccepted/In press - 2018

ASJC Scopus subject areas

  • 疫学
  • 薬理学(医学)

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