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

Kentaro Tajima, Tomofumi Ishikawa, Fumiko Matsuzaki, Aoi Noda, Kei Morishita, Ryusuke Inoue, Noriyuki Iwama, Hidekazu Nishigori, Junichi Sugawara, Masatoshi Saito, Taku Obara and Nariyasu Mano
Additional contact information
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
Kei Morishita: Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai 980-8574, 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
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
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
Nariyasu Mano: Laboratory of Clinical Pharmacy, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai 980-8574, Japan

IJERPH, 2022, vol. 19, issue 8, 1-14

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.

Keywords: administrative claims; Japan; obstetric delivery; positive predictive value; validation study (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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