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Tytuł pozycji:

Using Longitudinally Linked Data to Measure Severe Maternal Morbidity.

Tytuł:
Using Longitudinally Linked Data to Measure Severe Maternal Morbidity.
Autorzy:
Declercq ER; Boston University School of Public Health, Boston, the Massachusetts Department of Public Health, Boston, Evalogic Services, Inc, Newton, the Tufts University School of Medicine, Boston, and the Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts; and the Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Diego, San Diego, California.
Cabral HJ
Cui X
Liu CL
Amutah-Onukagha N
Larson E
Meadows A
Diop H
Źródło:
Obstetrics and gynecology [Obstet Gynecol] 2022 Feb 01; Vol. 139 (2), pp. 165-171.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural
Język:
English
Imprint Name(s):
Publication: 2004- : Hagerstown, MD : Lippincott Williams & Wilkins
Original Publication: New York.
MeSH Terms:
Algorithms*
Puerperal Disorders/*epidemiology
Adult ; Centers for Disease Control and Prevention, U.S. ; Female ; Humans ; International Classification of Diseases ; Massachusetts/epidemiology ; Morbidity ; Pregnancy ; Retrospective Studies ; United States ; Young Adult
References:
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Clin Obstet Gynecol. 2018 Jun;61(2):307-318. (PMID: 29642083)
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JAMA Netw Open. 2021 Feb 1;4(2):e2036148. (PMID: 33528553)
Grant Information:
R01 MD016026 United States MD NIMHD NIH HHS
Entry Date(s):
Date Created: 20220106 Date Completed: 20220223 Latest Revision: 20230202
Update Code:
20240104
PubMed Central ID:
PMC8820447
DOI:
10.1097/AOG.0000000000004641
PMID:
34991121
Czasopismo naukowe
Objective: To assess whether application of a standard algorithm to hospitalizations in the prenatal and postpartum (42 days) periods increases identification of severe maternal morbidity (SMM) beyond analysis of only the delivery event.
Methods: We performed a retrospective cohort study using data from the PELL (Pregnancy to Early Life Longitudinal) database, a Massachusetts population-based data system that links records from birth certificates to delivery hospital discharge records and nonbirth hospital records for all birthing individuals. We included deliveries from January 1, 2009, to December 31, 2018, distinguishing between International Classification of Diseases Ninth (ICD-9) and Tenth Revision (ICD-10) coding. We applied the modified Centers for Disease Control and Prevention algorithm for SMM used by the Alliance for Innovation on Maternal Health to hospitalizations across the antenatal period through 42 days postpartum. Morbidity was examined both with and without blood transfusion.
Results: Overall, 594,056 deliveries were included in the analysis, and 3,947 deliveries met criteria for SMM at delivery without transfusion and 9,593 with transfusion for aggregate rates of 150.1 (95% CI 146.7-153.5) using ICD-9 codes and 196.6 (95% CI 189.5-203.7) using ICD-10 codes per 10,000 deliveries. Severe maternal morbidity at birth increased steadily across both ICD-9 and ICD-10 from 129.4 in 2009 (95% CI 126.2-132.6) using ICD-9 to 214.3 per 10,000 (95% CI 206.9-221.8) in 2018 using ICD-10. Adding prenatal and postpartum hospitalizations increased cases by 21.9% under both ICD-9 and ICD-10, resulting in a 2018 rate of 258.7 per 10,000 (95% CI 250.5-266.9). The largest increase in detected morbidity in the prenatal or postpartum time period was attributed to sepsis cases.
Conclusion: Inclusion of prenatal and postpartum hospitalizations in the identification of SMM resulted in increased ascertainment of morbid events. These results suggest a need to ensure surveillance of care quality activities beyond the birth event.
Competing Interests: Financial Disclosure Elysia Larson disclosed receiving funding from the World Bank and the Harvard T.H. Chan School of Public Health. Audra Meadows disclosed receiving funding from the Institute for Health Care Improvement, Better Maternal Outcomes (consultancy), the Black Birth Equity Community Advisory Board, and the Institute for Perinatal Quality Improvement (consultancy). The other authors did not report any potential conflicts of interest.
(Copyright © 2022 by the American College of Obstetricians and Gynecologists. Published by Wolters Kluwer Health, Inc. All rights reserved.)
Comment in: Obstet Gynecol. 2022 Feb 1;139(2):163-164. (PMID: 34991143)

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