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      Obstetric Volume and Severe Maternal Morbidity Among Low-Risk and Higher-Risk Patients Giving Birth at Rural and Urban US Hospitals

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          Abstract

          This cross-sectional study assesses associations between obstetric volume and severe maternal morbidity in rural and urban hospitals and examines whether these associations differ for low-risk and higher-risk patients.

          Key Points

          Question

          What is the association between obstetric volume and severe maternal morbidity in US rural and urban hospitals, and do these associations differ for low-risk and higher-risk patients?

          Findings

          In this cross-sectional study of more than 11 million births in urban counties and 519 953 births in rural counties, risk of severe maternal morbidity was elevated for low-risk and higher-risk obstetric patients who gave birth in lower-volume rural hospitals, compared with similar patients who gave birth at rural hospitals with more than 460 annual births. No significant volume-outcome association was detected among urban hospitals.

          Meaning

          These findings imply a need for tailored quality improvement strategies for lower-volume hospitals in rural communities.

          Abstract

          Importance

          Identifying hospital factors associated with severe maternal morbidity (SMM) is essential to clinical and policy efforts.

          Objective

          To assess associations between obstetric volume and SMM in rural and urban hospitals and examine whether these associations differ for low-risk and higher-risk patients.

          Design, Setting, and Participants

          This retrospective cross-sectional study of linked vital statistics and patient discharge data was conducted from 2022 to 2023. Live births and stillbirths (≥20 weeks’ gestation) at hospitals in California (2004-2018), Michigan (2004-2020), Pennsylvania (2004-2014), and South Carolina (2004-2020) were included. Data were analyzed from December 2022 to May 2023.

          Exposures

          Annual birth volume categories (low, medium, medium-high, and high) for hospitals in urban (10-500, 501-1000, 1001-2000, and >2000) and rural (10-110, 111-240, 241-460, and >460) counties.

          Main Outcome and Measures

          The main outcome was SMM (excluding blood transfusion); covariates included age, payer status, educational attainment, race and ethnicity, and obstetric comorbidities. Analyses were stratified for low-risk and higher-risk obstetric patients based on presence of at least 1 clinical comorbidity.

          Results

          Among more than 11 million urban births and 519 953 rural births, rates of SMM ranged from 0.73% to 0.50% across urban hospital volume categories (high to low) and from 0.47% to 0.70% across rural hospital volume categories (high to low). Risk of SMM was elevated for patients who gave birth at rural hospitals with annual birth volume of 10 to 110 (adjusted risk ratio [ARR], 1.65; 95% CI, 1.14-2.39), 111 to 240 (ARR, 1.37; 95% CI, 1.10-1.70), and 241 to 460 (ARR, 1.26; 95% CI, 1.05-1.51), compared with rural hospitals with greater than 460 births. Increased risk of SMM occurred for low-risk and higher-risk obstetric patients who delivered at rural hospitals with lower birth volumes, with low-risk rural patients having notable discrepancies in SMM risk between low (ARR, 2.32; 95% CI, 1.32-4.07), medium (ARR, 1.66; 95% CI, 1.20-2.28), and medium-high (ARR, 1.68; 95% CI, 1.29-2.18) volume hospitals compared with high volume (>460 births) rural hospitals. Among hospitals in urban counties, there was no significant association between birth volume and SMM for low-risk or higher-risk obstetric patients.

          Conclusions and Relevance

          In this cross-sectional study of births in US rural and urban counties, risk of SMM was elevated for low-risk and higher-risk obstetric patients who gave birth in lower-volume hospitals in rural counties, compared with similar patients who gave birth at rural hospitals with greater than 460 annual births. These findings imply a need for tailored quality improvement strategies for lower volume hospitals in rural communities.

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          Most cited references34

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          Social and Structural Determinants of Health Inequities in Maternal Health

          Since the World Health Organization launched its commission on the social determinants of health (SDOH) over a decade ago, a large body of research has proven that social determinants—defined as the conditions in which people are born, grow, live, work, and age—are significant drivers of disease risk and susceptibility within clinical care and public health systems. Unfortunately, the term has lost meaning within systems of care because of misuse and lack of context. As many disparate health outcomes remain, including higher risk of maternal mortality among Black women, a deeper understanding of the SDOH—and what forces underlie their distribution—is needed. In this article, we will expand our review of social determinants of maternal health to include the terms “structural determinants of health” and “root causes of inequities” as we assess the literature on this topic. We hypothesize that the addition of structural determinants and root causes will identify racism as a cause of inequities in maternal health outcomes, as many of the social and political structures and policies in the United States were born out of racism, classism, and gender oppression. We will conclude with proposed practice and policy solutions to end inequities in maternal health outcomes.
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            Severe Maternal Morbidity Among Delivery and Postpartum Hospitalizations in the United States

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              Association Between Loss of Hospital-Based Obstetric Services and Birth Outcomes in Rural Counties in the United States

              Question In rural US counties, was loss of hospital-based obstetric services associated with changes in location of childbirth or birth outcomes? Findings This retrospective cohort study included 4 941 387 births in 1086 rural US counties. Loss of hospital-based obstetric care in rural counties not adjacent to urban areas was significantly associated with increases in births in hospitals without obstetric units (3.06 percentage points), and preterm births (0.67 percentage points), compared with counties with continual obstetric services. Meaning In rural US counties not adjacent to urban areas, obstetric services loss was associated with increased risk of birth in hospitals without obstetric units and preterm birth. Importance Hospital-based obstetric services have decreased in rural US counties, but whether this has been associated with changes in birth location and outcomes is unknown. Objective To examine the relationship between loss of hospital-based obstetric services and location of childbirth and birth outcomes in rural counties. Design, Setting, and Participants A retrospective cohort study, using county-level regression models in an annual interrupted time series approach. Births occurring from 2004 to 2014 in rural US counties were identified using birth certificates linked to American Hospital Association Annual Surveys. Participants included 4 941 387 births in all 1086 rural counties with hospital-based obstetric services in 2004. Exposures Loss of hospital-based obstetric services in the county of maternal residence, stratified by adjacency to urban areas. Main Outcomes and Measures Primary outcomes were county rates of (1) out-of-hospital births; (2) births in hospitals without obstetric units; and (3) preterm births (<37 weeks’ gestation). Results Between 2004 and 2014, 179 rural counties lost hospital-based obstetric services. Of the 4 941 387 births studied, the mean (SD) maternal age was 26.2 (5.8) years. A mean (SD) of 75.9% (23.2%) of women who gave birth were non-Hispanic white, and 49.7% (15.6%) were college graduates. Rural counties not adjacent to urban areas that lost hospital-based obstetric services had significant increases in out-of-hospital births (0.70 percentage points [95% CI, 0.30 to 1.10]); births in a hospital without an obstetric unit (3.06 percentage points [95% CI, 2.66 to 3.46]); and preterm births (0.67 percentage points [95% CI, 0.02 to 1.33]), in the year after loss of services, compared with those with continual obstetric services. Rural counties adjacent to urban areas that lost hospital-based obstetric services also had significant increases in births in a hospital without obstetric services (1.80 percentage points [95% CI, 1.55 to 2.05]) in the year after loss of services, compared with those with continual obstetric services, and this was followed by a decreasing trend (−0.19 percentage points per year [95% CI, −0.25 to −0.14]). Conclusions and Relevance In rural US counties not adjacent to urban areas, loss of hospital-based obstetric services, compared with counties with continual services, was associated with increases in out-of-hospital and preterm births and births in hospitals without obstetric units in the following year; the latter also occurred in urban-adjacent counties. These findings may inform planning and policy regarding rural obstetric services. This cohort study investigates the association between loss of hospital-based obstetric services between 2004 and 2014 and changes in location of childbirth and preterm births in rural counties in the United States.
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                Author and article information

                Journal
                JAMA Health Forum
                JAMA Health Forum
                JAMA Health Forum
                American Medical Association
                2689-0186
                24 June 2023
                June 2023
                24 June 2023
                : 4
                : 6
                : e232110
                Affiliations
                [1 ]Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis
                [2 ]Department of Obstetrics & Gynecology, Stanford University School of Medicine, Stanford, California
                [3 ]California Maternal Quality Care Collaborative, Stanford
                [4 ]Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
                [5 ]Leonard Davis Institute of Health Economics, Wharton School, University of Pennsylvania, Philadelphia
                [6 ]Health Economics Resource Center, Veterans Affairs Palo Alto Healthcare System, Menlo Park, California
                [7 ]Departments of Pediatrics and Health Policy, Stanford University School of Medicine, Stanford, California
                Author notes
                Article Information
                Accepted for Publication: May 22, 2023.
                Published: June 24, 2023. doi:10.1001/jamahealthforum.2023.2110
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2023 Kozhimannil KB et al. JAMA Health Forum.
                Corresponding Author: Katy Backes Kozhimannil, PhD, MPA, Division of Health Policy and Management, University of Minnesota School of Public Health, 420 Delaware St SE, MMC 729, Minneapolis, MN 55455 ( kbk@ 123456umn.edu ).
                Author Contributions: Drs Lorch and Phibbs had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Ms Passarella conducted the data analyses reported in this manuscript.
                Concept and design: Kozhimannil, Leonard, Handley, Main, Lorch, Phibbs.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: Kozhimannil, Main.
                Critical revision of the manuscript for important intellectual content: Leonard, Handley, Passarella, Main, Lorch, Phibbs.
                Statistical analysis: Passarella, Phibbs.
                Obtained funding: Lorch, Phibbs.
                Administrative, technical, or material support: Kozhimannil, Lorch.
                Conflict of Interest Disclosures: Dr Kozhimannil reported grants from Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (1R01HS029159-01) during the conduct of the study; and personal fees from Mission Analytics Group, Inc, for serving as a consultant on a federal evaluation of rural obstetric care quality improvement programs outside the submitted work. Dr Leonard reported grants from Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD099197) during the conduct of the study. Dr Handley reported grants from National Institutes of Health National Institute of Child Health and Human Development (R03HD108387) outside the submitted work. Ms Passarella reported grants from National Institutes of Health during the conduct of the study. Dr Lorch reported grants from National Institutes of Health during the conduct of the study. Dr Phibbs reported grants from National Institutes of Health National Institute of Child Health and Human Development during the conduct of the study. No other disclosures were reported.
                Funding/Support: This research was supported in part by the National Institutes of Health’s Eunice Kennedy Shriver National Institute of Child Health and Human Development (grants HD084819 and HD099197) and the National Center for Advancing Translational Sciences (grant UL1TR002494).
                Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Disclaimer: The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Additionally, The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs or the US government.
                Meeting Presentation: This article was presented at the AcademyHealth 2023 Annual Research Meeting; June 24, 2023; Seattle, Washington.
                Data Sharing Statement: See Supplement 2.
                Additional Contributions: The authors would like to acknowledge the states of California, Michigan, Pennsylvania, and South Carolina and the staff who support the collection and reporting of vital statistics and hospital discharge data. The authors also gratefully acknowledge input and administrative support from Alyssa Fritz, MPH, Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis. No additional compensation was provided beyond that of regular employment salary.
                Article
                aoi230047
                10.1001/jamahealthforum.2023.2110
                10290751
                37354537
                cf25e009-6a09-44ba-8d8c-0569ecb4d8f7
                Copyright 2023 Kozhimannil KB et al. JAMA Health Forum.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 3 April 2023
                : 22 May 2023
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