2023
DOI: 10.1097/aog.0000000000005144
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State Variation in Severe Maternal Morbidity Among Individuals With Medicaid Insurance

Abstract: OBJECTIVE: To measure variation in delivery-related severe maternal morbidity (SMM) among individuals with Medicaid insurance by state and by race and ethnicity across and within states. METHODS: We conducted a pooled, cross-sectional analysis of the 2016–2018 TAF (Transformed Medicaid Statistical Information System Analytic Files). We measured overall and state-level rates of SMM without blood transfusion for all individuals with Medicaid insurance wit… Show more

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Cited by 15 publications
(17 citation statements)
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“…We read with interest the article by Admon et al and the associated Editorial by Dr. Kern-Goldberger and Dr. Srivanas in the May 2023 issue. 1,2 The Guidelines for Letters. Letters posing a question or challenge to an article appearing in Obstetrics & Gynecology should be submitted within 8 weeks of the article's publication online.…”
Section: State Variation In Severe Maternal Morbidity Among Individua...mentioning
confidence: 99%
“…We read with interest the article by Admon et al and the associated Editorial by Dr. Kern-Goldberger and Dr. Srivanas in the May 2023 issue. 1,2 The Guidelines for Letters. Letters posing a question or challenge to an article appearing in Obstetrics & Gynecology should be submitted within 8 weeks of the article's publication online.…”
Section: State Variation In Severe Maternal Morbidity Among Individua...mentioning
confidence: 99%
“…Variation itself can serve as a marker of health care quality—or lack thereof—but also as an essential opportunity for intervention and, ultimately, prevention. This study by Admon et al 2 highlights how low a statewide SMM rate can be and provides a target for state programs looking to optimize maternal health and prioritize equity. At the same time, it demonstrates that variegated SMM drivers and disparities may require differential, localized solutions at the state level, and state perinatal quality collaboratives should harness these data to inform state-specific comprehensive clinical and policy strategies.…”
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confidence: 99%
“…The study by Admon et al 2 in this month's edition of Obstetrics & Gynecology (see page 877) addresses this very issue by evaluating indicator-specific SMM rates by state and by race and ethnicity among individuals with Medicaid insurance. Unlike other data sets used to examine maternal outcomes, the TAF (Transformed Medicaid Statistical Information System Analytic Files), used for this study, enables a detailed evaluation of administrative data from the entire population (not a sampling) of obstetric patients with Medicaid insurance.…”
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confidence: 99%
“…We read with interest the article by Admon et al and the associated Editorial by Dr. Kern-Goldberger and Dr. Srivanas in the May 2023 issue. 1,2 The work they describe in delineating severe maternal morbidity (SMM) is crucial to our ability to implement changes for improving outcomes, particularly for women who are poor and for those in underrepresented racial and ethnic minority groups. However, within this analysis, we were surprised at the lack of acknowledgment of social determinants of health and systemic racism.…”
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confidence: 99%