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. 2022 Feb 1;139(2):165-171.
doi: 10.1097/AOG.0000000000004641.

Using Longitudinally Linked Data to Measure Severe Maternal Morbidity

Affiliations

Using Longitudinally Linked Data to Measure Severe Maternal Morbidity

Eugene R Declercq et al. Obstet Gynecol. .

Abstract

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.

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Conflict of interest statement

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.

Figures

Figure 1:
Figure 1:
Severe maternal morbidity (SMM) per 10,000 deliveries, standard measures, Massachusetts 2009‒2018. ICD, International Classification of Diseases.
Figure 2:
Figure 2:
Severe maternal morbidity (SMM) per 10,000 deliveries, by timing, Massachusetts, 2009‒2018. ICD, International Classification of Diseases.

Comment in

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