Hospital Discharge Codes and Overestimating Severe Maternal Morbidity During Delivery Hospitalization

( Obstet Gynecol. 2024;143(4):582–584. doi: 10.1097/AOG.0000000000005537) Administrative data play a crucial role in understanding severe maternal morbidity (SMM) events, yet their interpretation heavily relies on coding quality. Overestimation of SMM during birth hospitalizations might occur due to International Classification of Diseases, Tenth Revision (ICD-10) codes being carried forward from predelivery events. This study aimed to describe SMM distribution across the antepartum, birth, and postpartum periods and to assess the potential false discovery rate of SMM events, hypothesizing that some events are subject to carry-forward coding. Following IRB approval and data-use agreements, a shared, deidentified database was created using the PCORnet Common Data Model at the University of North Carolina and Duke University.

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Publication Details

Journal
Obstetric Anesthesia Digest
Published
2024-11-19
DOI
https://doi.org/10.1097/01.aoa.0001080132.94686.86
Citations
1
Primary Topic
Nursing Diagnosis and Documentation
Type
article
Field-Weighted Citation Impact
1.46
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article

Hospital Discharge Codes and Overestimating Severe Maternal Morbidity During Delivery Hospitalization

Jerome J. Federspiel, Divya P. Mallampati, Marie‐Louise Meng, Johanna Quist‐Nelson et al.
1 citations
Obstetric Anesthesia Digest
Nursing Diagnosis and Documentation
1.46
article

Hospital Discharge Codes and Overestimating Severe Maternal Morbidity During Delivery Hospitalization

Jerome J. Federspiel, Divya P. Mallampati, Marie‐Louise Meng, Johanna Quist‐Nelson, Lauren M. Kucirka, Matthew Fuller, M. Kathryn Menard
article en
1 citations

Abstract

( Obstet Gynecol. 2024;143(4):582–584. doi: 10.1097/AOG.0000000000005537) Administrative data play a crucial role in understanding severe maternal morbidity (SMM) events, yet their interpretation heavily relies on coding quality. Overestimation of SMM during birth hospitalizations might occur due to International Classification of Diseases, Tenth Revision (ICD-10) codes being carried forward from predelivery events. This study aimed to describe SMM distribution across the antepartum, birth, and postpartum periods and to assess the potential false discovery rate of SMM events, hypothesizing that some events are subject to carry-forward coding. Following IRB approval and data-use agreements, a shared, deidentified database was created using the PCORnet Common Data Model at the University of North Carolina and Duke University.

Obstetric Anesthesia DigestVol. 44(4)
University of North Carolina at Chapel Hill (US)
Good health and well-being
Openalex Percentile: Top 13%
Nursing Diagnosis and Documentation
1.46
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