The Relationship between Various Measures of Perinatal Quality

This study aimed to examine the correlations between pairs of maternal, infant, and maternal-infant dyad quality measures to provide a comprehensive assessment of perinatal care.In a retrospective cohort study using birth and fetal death certificates linked to hospital discharge data from Michigan, Oregon, Pennsylvania, and South Carolina (2016-2018), we examined correlations between pairs of maternal, infant, and maternal-infant dyad quality measures. Maternal quality measures included nulliparous term singleton vertex (NTSV) cesarean birth, nontransfusion severe maternal morbidity (SMM), and a composite maternal outcome. Infant quality was assessed with a composite outcome measure, whereas the dyad measure combined maternal and infant outcomes.Among 955,904 dyads across 266 hospitals, 25.9% had NTSV, 0.7% had nontransfusion SMM, 12.3% had the composite infant measure, and 19.3% had the dyad measure. The correlation between nontransfusion SMM and the dyad measure was 0.12, whereas the correlation between the composite infant measure and the dyad measure was 0.86, which was higher than the correlation between the composite maternal measure and the dyad measure (0.47).We observed minimal correlations among these perinatal quality measures, especially when aggregated beyond individual outcomes. · There are minimal correlations among different perinatal quality measures.. · Quality is multifaceted, and hospitals vary in the level of quality they achieve.. · Assessing hospital care for pregnant patients and infants requires multiple quality measures..

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Publication Details

Journal
American Journal of Perinatology
Published
2025-01-16
DOI
https://doi.org/10.1055/a-2517-2501
Primary Topic
Grief, Bereavement, and Mental Health
Type
article
Field-Weighted Citation Impact
0.00

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article

The Relationship between Various Measures of Perinatal Quality

Nansi S. Boghossian, Ciaran S. Phibbs, Jeannette Rogowski, Lucy T. Greenberg et al.
American Journal of Perinatology
Grief, Bereavement, and Mental Health
article

The Relationship between Various Measures of Perinatal Quality

Nansi S. Boghossian, Ciaran S. Phibbs, Jeannette Rogowski, Lucy T. Greenberg, Jeffrey S. Buzas, Scott A. Lorch, George R. Saade, Molly Passarella
article en

Abstract

This study aimed to examine the correlations between pairs of maternal, infant, and maternal-infant dyad quality measures to provide a comprehensive assessment of perinatal care.In a retrospective cohort study using birth and fetal death certificates linked to hospital discharge data from Michigan, Oregon, Pennsylvania, and South Carolina (2016-2018), we examined correlations between pairs of maternal, infant, and maternal-infant dyad quality measures. Maternal quality measures included nulliparous term singleton vertex (NTSV) cesarean birth, nontransfusion severe maternal morbidity (SMM), and a composite maternal outcome. Infant quality was assessed with a composite outcome measure, whereas the dyad measure combined maternal and infant outcomes.Among 955,904 dyads across 266 hospitals, 25.9% had NTSV, 0.7% had nontransfusion SMM, 12.3% had the composite infant measure, and 19.3% had the dyad measure. The correlation between nontransfusion SMM and the dyad measure was 0.12, whereas the correlation between the composite infant measure and the dyad measure was 0.86, which was higher than the correlation between the composite maternal measure and the dyad measure (0.47).We observed minimal correlations among these perinatal quality measures, especially when aggregated beyond individual outcomes. · There are minimal correlations among different perinatal quality measures.. · Quality is multifaceted, and hospitals vary in the level of quality they achieve.. · Assessing hospital care for pregnant patients and infants requires multiple quality measures..

American Journal of PerinatologyVol. 43(01)
University of Vermont (US), Pennsylvania State University (US), University of South Carolina (US), Eastern Virginia Medical School (US), VA Palo Alto Health Care System (US), Vermont Oxford Network (US), University of Pennsylvania (US), Stanford University (US)
National Institute on Minority Health and Health Disparities
Good health and well-being
Openalex Percentile: Top 99%
Grief, Bereavement, and Mental Health
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