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Validity of Administrative Data for Identifying Birth-Related Outcomes with the End Date of Pregnancy in a Japanese University Hospital

Author

Listed:
  • Kentaro Tajima

    (Laboratory of Clinical Pharmacy, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai 980-8574, Japan)

  • Tomofumi Ishikawa

    (Laboratory of Clinical Pharmacy, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai 980-8574, Japan)

  • Fumiko Matsuzaki

    (Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai 980-8573, Japan)

  • Aoi Noda

    (Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai 980-8573, Japan
    Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai 980-8574, Japan
    Department of Molecular Epidemiology, Environment and Genome Research Center, Graduate School of Medicine, Tohoku University, Sendai 980-8573, Japan)

  • Kei Morishita

    (Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai 980-8574, Japan
    Department of Molecular Epidemiology, Environment and Genome Research Center, Graduate School of Medicine, Tohoku University, Sendai 980-8573, Japan)

  • Ryusuke Inoue

    (Department of Medical Informatics, Graduate School of Medicine, Tohoku University, Sendai 980-8574, Japan)

  • Noriyuki Iwama

    (Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai 980-8573, Japan
    Department of Obstetrics and Gynecology, Graduate School of Medicine, Tohoku University, Sendai 980-8574, Japan)

  • Hidekazu Nishigori

    (Fukushima Medical Center for Children and Women, Fukushima Medical University, Fukushima 960-1295, Japan)

  • Junichi Sugawara

    (Division of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai 980-8573, Japan
    Department of Feto-Maternal Medical Science, Environment and Genome Research Center, Graduate School of Medicine, Tohoku University, Sendai 980-8575, Japan)

  • Masatoshi Saito

    (Department of Obstetrics and Gynecology, Graduate School of Medicine, Tohoku University, Sendai 980-8574, Japan)

  • Taku Obara

    (Division of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai 980-8573, Japan
    Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai 980-8574, Japan
    Department of Molecular Epidemiology, Environment and Genome Research Center, Graduate School of Medicine, Tohoku University, Sendai 980-8573, Japan)

  • Nariyasu Mano

    (Laboratory of Clinical Pharmacy, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai 980-8574, Japan
    Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai 980-8574, Japan)

Abstract

This study aimed to develop and validate claims-based algorithms for identifying live birth, fetal death, and cesarean section by utilizing administrative data from a university hospital in Japan. We included women who visited the Department of Obstetrics at a university hospital in 2018. The diagnosis, medical procedures, and medication data were used to identify potential cases of live birth, fetal death, and cesarean section. By reviewing electronic medical records, we evaluated the positive predictive values (PPVs) and the accuracy of the end date of pregnancy for each claims datum. “Selected algorithm 1” based on PPVs and “selected algorithm 2” based on both the PPVs and the accuracy of the end date of pregnancy were developed. A total of 1757 women were included, and the mean age was 32.8 years. The PPVs of “selected algorithm 1” and “selected algorithm 2” were both 98.1% for live birth, 99.0% and 98.9% for fetal death, and 99.7% and 100.0% for cesarean section, respectively. These findings suggest that the developed algorithms are useful for future studies for evaluating live birth, fetal death, and cesarean section with an accurate end date of pregnancy.

Suggested Citation

  • Kentaro Tajima & Tomofumi Ishikawa & Fumiko Matsuzaki & Aoi Noda & Kei Morishita & Ryusuke Inoue & Noriyuki Iwama & Hidekazu Nishigori & Junichi Sugawara & Masatoshi Saito & Taku Obara & Nariyasu Mano, 2022. "Validity of Administrative Data for Identifying Birth-Related Outcomes with the End Date of Pregnancy in a Japanese University Hospital," IJERPH, MDPI, vol. 19(8), pages 1-14, April.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:8:p:4864-:d:795603
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    References listed on IDEAS

    as
    1. Keran Moll & Hui Lee Wong & Kathryn Fingar & Shayan Hobbi & Minya Sheng & Timothy A. Burrell & Linda O. Eckert & Flor M. Munoz & Bethany Baer & Azadeh Shoaibi & Steven Anderson, 2021. "Validating Claims-Based Algorithms Determining Pregnancy Outcomes and Gestational Age Using a Linked Claims-Electronic Medical Record Database," Drug Safety, Springer, vol. 44(11), pages 1151-1164, November.
    2. Amy Matcho & Patrick Ryan & Daniel Fife & Dina Gifkins & Chris Knoll & Andrew Friedman, 2018. "Inferring pregnancy episodes and outcomes within a network of observational databases," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-20, February.
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    Cited by:

    1. Karel Allegaert, 2022. "Pharmacotherapy during Pregnancy, Childbirth, and Lactation," IJERPH, MDPI, vol. 19(18), pages 1-5, September.

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