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Rodriguez AN, Nelson DB, Spong CY, McIntire DD, Reddy MT, Cunningham FG. Acute Kidney Injury in Pregnancies Complicated by Late-Onset Preeclampsia with Severe Features. Am J Perinatol 2024; 41:e6-e13. [PMID: 35777368 DOI: 10.1055/s-0042-1749632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
OBJECTIVES Acute kidney injury (AKI)-complicating pregnancy is used as a marker of severe maternal morbidity (SMM) and frequently associated with obstetric hypertensive disorders. We examined AKI in pregnancies complicated by late-onset preeclampsia with severe features (SPE) using the Kidney Disease: Improving Global Outcomes (KDIGO) criteria. We compared outcomes of pregnancies with and without AKI and stratified by stage of disease. We further differentiated renal dysfunction at the time of admission and compared outcomes to those who developed AKI after admission. STUDY DESIGN This was a retrospective cohort study of women with care established before 20 weeks and diagnosed with preeclampsia with severe features with delivery at ≥34 weeks. Women with chronic hypertension or suspected underlying renal dysfunction were excluded. KDIGO criteria were applied to stratify staging of renal disease. Demographics and perinatal outcomes were compared using Chi-square analysis and Wilcoxon's rank-sum test with p < 0.05 considered significant. RESULTS From January 2015 through December 2019, a total of 3,515 women meeting study criteria were delivered. Of these, 517 (15%) women met KDIGO criteria for AKI at delivery with 248 (48%) having AKI at the time of admission and the remaining 269 (52%) after admission. Stratified by severity, 412 (80%) had stage 1 disease, 89 (17%) had stage II, and 16 (3%) had stage III. Women with AKI had higher rates of cesarean delivery (risk ratio [RR] = 1.3; 95% confidence interval [CI]: 1.17-1.44), postpartum hemorrhage (RR = 1.46; 95% CI: 1.29-1.66), and longer lengths of stay. Other associated outcomes included NICU admission (RR = 1.72; 95% CI: 1.19-2.48), 5-minute Apgar score ≤ 3 (RR = 5.11; 95% CI: 1.98-13.18), and infant length of stay. CONCLUSION Of women with late preterm SPE, 15% were found to have AKI by KDIGO criteria. The majority (80%) of AKI was stage I disease, and approximately half of the cases were present by the time of admission. KEY POINTS · AKI was found in 15% of our cohort with 80% stage I disease.. · Half of the cases of AKI were present on admission.. · Few adverse perinatal outcomes are associated with AKI..
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Affiliation(s)
- Aldeboran N Rodriguez
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - David B Nelson
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Catherine Y Spong
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Donald D McIntire
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Meghana T Reddy
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, Texas
| | - F Gary Cunningham
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of Texas Southwestern Medical Center, Dallas, Texas
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Yu X, Johnson JE, Roman LA, Key K, McCoy White J, Bolder H, Raffo JE, Meng R, Nelson H, Meghea CI. Neighborhood Deprivation and Severe Maternal Morbidity in a Medicaid Population. Am J Prev Med 2024; 66:850-859. [PMID: 37995948 PMCID: PMC11034747 DOI: 10.1016/j.amepre.2023.11.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/15/2023] [Accepted: 11/15/2023] [Indexed: 11/25/2023]
Abstract
INTRODUCTION Few studies have examined whether neighborhood deprivation is associated with severe maternal morbidity (SMM) in already socioeconomically disadvantaged populations. Little is known about to what extent neighborhood deprivation accounts for Black-White disparities in SMM. This study investigated these questions among a statewide Medicaid-insured population, a low-income population with heightened risk of SMM. METHODS Data were from Michigan statewide linked birth records and Medicaid claims between 01/01/2016 and 12/31/2019, and were analyzed between 2022 and 2023. Neighborhood deprivation was measured with the Area Deprivation Index at census block group and categorized as low, medium, or high deprivation. Multilevel logistic models were used to examine the association between neighborhood deprivation and SMM. Fairlie nonlinear decomposition was conducted to quantify the contribution of neighborhood deprivation to SMM racial disparity. RESULTS People in the most deprived neighborhoods had higher odds of SMM than those in the least deprived neighborhoods (aOR [95% CI]: 1.27 [1.15, 1.40]). Such association was observed in Black (aOR [95% CI]: 1.34 [1.07, 1.67]) and White (aOR [95% CI]: 1.26 [1.12, 1.42]) racial subgroups. Decomposition showed that of 57.5 (cases per 10,000) explained disparity in SMM, neighborhood deprivation accounted for 23.1 (cases per 10,000; 95% CI: 16.3, 30.0) or two-fifths (40.2%) of the Black-White disparity. Analysis on SMM excluding blood transfusion showed consistent but weaker results. CONCLUSIONS Neighborhood deprivation may be used as an effective tool to identify at-risk individuals within a low-income population. Community-engaged interventions aiming at improving neighborhood conditions may be helpful to reduce both SMM prevalence and racial inequity in SMM.
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Affiliation(s)
- Xiao Yu
- Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University College of Human Medicine, Grand Rapids and East Lansing, Michigan.
| | - Jennifer E Johnson
- Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University College of Human Medicine, Grand Rapids and East Lansing, Michigan; Charles Stewart Mott Department of Public Health, Michigan State University, Flint, Michigan; Department of Psychiatry and Behavioral Medicine, Michigan State University, Grand Rapids, Michigan
| | - Lee Anne Roman
- Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University College of Human Medicine, Grand Rapids and East Lansing, Michigan
| | - Kent Key
- Charles Stewart Mott Department of Public Health, Michigan State University, Flint, Michigan
| | - Jonne McCoy White
- Charles Stewart Mott Department of Public Health, Michigan State University, Flint, Michigan
| | - Hannah Bolder
- Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University College of Human Medicine, Grand Rapids and East Lansing, Michigan
| | - Jennifer E Raffo
- Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University College of Human Medicine, Grand Rapids and East Lansing, Michigan
| | - Ran Meng
- Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University College of Human Medicine, Grand Rapids and East Lansing, Michigan
| | - Hannah Nelson
- Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University College of Human Medicine, Grand Rapids and East Lansing, Michigan
| | - Cristian I Meghea
- Department of Obstetrics, Gynecology and Reproductive Biology, Michigan State University College of Human Medicine, Grand Rapids and East Lansing, Michigan
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Poliektov NE, Vuncannon DM, Ha TK, Lindsay MK, Chandrasekaran S. The Association between Sickle Cell Disease and Postpartum Severe Maternal Morbidity. Am J Perinatol 2024. [PMID: 38653453 DOI: 10.1055/s-0044-1786174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/25/2024]
Abstract
OBJECTIVE To compare the risk of severe maternal morbidity (SMM) from the delivery admission to 42 days' postdischarge among persons with sickle cell disease (SCD) to those without SCD. STUDY DESIGN This retrospective cohort study included deliveries ≥20 weeks' gestation at an urban safety net hospital in Atlanta, GA from 2011 to 2019. The exposure was SCD diagnosis. The outcome was a composite of SMM from the delivery admission to 42 days' postdischarge. SMM indicators as defined by the Centers for Disease Control and Prevention were identified using the International Classification of Diseases, Ninth and Tenth Revisions (ICD-9/10) codes; transfusion of blood products and sickle cell crisis were excluded. RESULTS Of N = 17,354 delivery admissions, n = 92 (0.53%) had SCD. Persons with SCD versus without SCD had an increased risk of composite SMM (15.22 vs. 2.29%, p < 0.001), acute renal failure (6.52 vs. 0.71%, p < 0.001), acute respiratory distress syndrome (4.35 vs. 0.17%, p < 0.001), puerperal cerebrovascular disorders (3.26 vs. 0.10%, p < 0.001), sepsis (4.35 vs. 0.42%, p < 0.01), air and thrombotic embolism (5.43 vs. 0.10%, p < 0.001), and ventilation (2.17 vs. 0.09%, p < 0.01). Ultimately, those with SCD had an approximately 6-fold higher incidence risk ratio of SMM, which remained after adjustment for confounders (adjusted incidence risk ratio [aIRR]: 5.96, 95% confidence interval [CI]: 3.4-9.19, p < 0.001). Persons with SCD in active vaso-occlusive crisis at the delivery admission had an approximately 9-fold higher risk of SMM up to 42 days' postdischarge compared with those with SCD not in crisis at the delivery admission (incidence: 25.71 vs. 8.77%, p < 0.05; aIRR: 8.92, 95% CI: 4.5-10.04, p < 0.05). Among those with SCD, SMM at the delivery admission was primarily related to renal and cerebrovascular events, whereas most postpartum SMM was related to respiratory events or sepsis. CONCLUSION SCD is significantly associated with an increased risk of SMM during the delivery admission and through 42 days' postdischarge. Active crisis at delivery further increases the risk of SMM. KEY POINTS · Sickle cell disease was associated with an approximately 6-fold increased risk of SMM.. · Active vaso-occlusive crisis at delivery was associated with an approximately 9-fold increased risk of SMM.. · 48% of SMM events in persons with SCD occurred postpartum and were respiratory- or sepsis-related..
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Affiliation(s)
- Natalie E Poliektov
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Danielle M Vuncannon
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Thoa K Ha
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Michael K Lindsay
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Suchitra Chandrasekaran
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
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Quist-Nelson J, Meng ML, Mallampati D, Federspiel JJ, Kucirka LM, Fuller M, Menard MK. Hospital Discharge Codes and Overestimating Severe Maternal Morbidity During Delivery Hospitalization. Obstet Gynecol 2024; 143:582-584. [PMID: 38387035 DOI: 10.1097/aog.0000000000005537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 01/18/2024] [Indexed: 02/24/2024]
Abstract
Our objective was to identify birth hospitalization severe maternal morbidity (SMM) diagnoses that were also coded during prior encounters and, thus, potentially falsely carried forward as de novo SMM events. This retrospective cohort study included pregnant patients with births between 2016 and 2020. We applied the SMM algorithm to the birth hospitalization and encounters occurring prepregnancy, antepartum, and postpartum. The primary outcome was the rate of SMM diagnoses recorded during the birth hospitalization that were also coded on previous encounters. There were 1,380 (1.8%) birthing patients with SMM. Of patients with SMM codes at the birth hospitalization, 19.0% had the same SMM code during a prior encounter. Certain SMM events may be prone to carry-forward errors and may not signify a de novo birth hospitalization event.
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Affiliation(s)
- Johanna Quist-Nelson
- Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill, Chapel Hill, and the Department of Anesthesiology, the Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, the Department of Population Health Sciences, and the Critical Care and Perioperative Population Health Research (CAPER) Unit, Department of Anesthesiology, Duke University School of Medicine, Durham, North Carolina; and the Department of Obstetrics and Gynecology, University of California, San Francisco, San Francisco, California
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Blackman A, Ukah UV, Platt RW, Meng X, Shapiro GD, Malhamé I, Ray JG, Lisonkova S, El-Chaâr D, Auger N, Dayan N. Severe Maternal Morbidity and Mental Health Hospitalizations or Emergency Department Visits. JAMA Netw Open 2024; 7:e247983. [PMID: 38652472 PMCID: PMC11040413 DOI: 10.1001/jamanetworkopen.2024.7983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/25/2024] [Indexed: 04/25/2024] Open
Abstract
Importance Severe maternal morbidity (SMM) can have long-term health consequences for the affected mother. The association between SMM and future maternal mental health conditions has not been well studied. Objective To assess the association between SMM in the first recorded birth and the risk of hospitalization or emergency department (ED) visits for a mental health condition over a 13-year period. Design, Setting, and Participants This population-based retrospective cohort study used data from postpartum individuals aged 18 to 55 years with a first hospital delivery between 2008 and 2021 in 11 provinces and territories in Canada, except Québec. Data were analyzed from January to June 2023. Exposure SMM, defined as a composite of conditions, such as septic shock, severe preeclampsia or eclampsia, severe hemorrhage with intervention, or other complications, occurring after 20 weeks' gestation and up to 42 days after a first delivery. Main Outcomes and Measures The main outcome was a hospitalization or ED visit for a mental health condition, including mood and anxiety disorders, substance use, schizophrenia, and other psychotic disorder, or suicidality or self-harm event, arising at least 43 days after the first birth hospitalization. Cox regression models generated hazard ratios with 95% CIs, adjusted for baseline maternal comorbidities, maternal age at delivery, income quintile, type of residence, hospital type, and delivery year. Results Of 2 026 594 individuals with a first hospital delivery, 1 579 392 individuals (mean [SD] age, 30.0 [5.4] years) had complete ED and hospital records and were included in analyses; among these, 35 825 individuals (2.3%) had SMM. Compared with individuals without SMM, those with SMM were older (mean [SD] age, 29.9 [5.4] years vs 30.7 [6.0] years), were more likely to deliver in a teaching tertiary care hospital (40.8% vs 51.1%), and to have preexisting conditions (eg, ≥2 conditions: 1.2% vs 5.3%), gestational diabetes (8.2% vs 11.7%), stillbirth (0.5% vs 1.6%), preterm birth (7.7% vs 25.0%), or cesarean delivery (31.0% vs 54.3%). After a median (IQR) duration of 2.6 (1.3-6.4) years, 1287 (96.1 per 10 000) individuals with SMM had a mental health hospitalization or ED visit, compared with 41 779 (73.2 per 10 000) individuals without SMM (adjusted hazard ratio, 1.26 [95% CI, 1.19-1.34]). Conclusions and Relevance In this cohort study of postpartum individuals with and without SMM in pregnancy and delivery, there was an increased risk of mental health hospitalizations or ED visits up to 13 years after a delivery complicated by SMM. Enhanced surveillance and provision of postpartum mental health resources may be especially important after SMM.
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Affiliation(s)
- Asia Blackman
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Québec, Canada
| | - Ugochinyere V. Ukah
- Pregnancy and Child Research Center, HealthPartners Institute, Minneapolis, Minnesota
- Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Québec, Canada
- Department of Medicine, McGill University Health Centre, Montreal, Québec, Canada
| | - Robert W. Platt
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Québec, Canada
| | - Xiangfei Meng
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Québec, Canada
- Department of Psychiatry, McGill University, Montreal, Québec, Canada
- Douglas Research Centre, Montreal, Québec, Canada
| | - Gabriel D. Shapiro
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Québec, Canada
- Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Québec, Canada
| | - Isabelle Malhamé
- Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Québec, Canada
- Department of Medicine, McGill University Health Centre, Montreal, Québec, Canada
| | - Joel G. Ray
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Sarka Lisonkova
- Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Darine El-Chaâr
- Department of Obstetrics and Gynaecology, University of Ottawa, Ottawa, Ontario, Canada
| | - Nathalie Auger
- Institut national de santé publique du Québec, Quebec City, Québec, Canada
| | - Natalie Dayan
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Québec, Canada
- Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Québec, Canada
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Subbaraman MS, Schulte A, Berglas NF, Kerr WC, Thomas S, Treffers R, Liu G, Roberts SCM. Associations between alcohol taxes and varied health outcomes among women of reproductive age and infants. Alcohol Alcohol 2024; 59:agae015. [PMID: 38497162 PMCID: PMC10945295 DOI: 10.1093/alcalc/agae015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 02/20/2024] [Accepted: 02/23/2024] [Indexed: 03/19/2024] Open
Abstract
OBJECTIVE No studies have examined whether alcohol taxes may be relevant for reducing harms related to pregnant people's drinking. METHOD We examined how beverage-specific ad valorem, volume-based, and sales taxes are associated with outcomes across three data sets. Drinking outcomes came from women of reproductive age in the 1990-2020 US National Alcohol Surveys (N = 11 659 women $\le$ 44 years); treatment admissions data came from the 1992-2019 Treatment Episode Data Set: Admissions (N = 1331 state-years; 582 436 pregnant women admitted to treatment); and infant and maternal outcomes came from the 2005-19 Merative Marketscan® database (1 432 979 birthing person-infant dyads). Adjusted analyses for all data sets included year fixed effects, state-year unemployment and poverty, and accounted for clustering by state. RESULTS Models yield no robust significant associations between taxes and drinking. Increased spirits ad valorem taxes were robustly associated with lower rates of treatment admissions [adjusted IRR = 0.95, 95% CI: 0.91, 0.99]. Increased wine and spirits volume-based taxes were both robustly associated with lower odds of infant morbidities [wine aOR = 0.98, 95% CI: 0.96, 0.99; spirits aOR = 0.99, 95% CI: 0.98, 1.00] and lower odds of severe maternal morbidities [wine aOR = 0.91, 95% CI: 0.86, 0.97; spirits aOR = 0.95, 95% CI: 0.92, 0.97]. Having an off-premise spirits sales tax was also robustly related to lower odds of severe maternal morbidities [aOR = 0.78, 95% CI: 0.64, 0.96]. CONCLUSIONS Results show protective associations between increased wine and spirits volume-based and sales taxes with infant and maternal morbidities. Policies that index tax rates to inflation might yield more public health benefits, including for pregnant people and infants.
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Affiliation(s)
- Meenakshi S Subbaraman
- Behavioral Health and Recovery Studies, Public Health Institute, 555 12th St, Oakland, CA 94607, United States
| | - Alex Schulte
- Advancing New Standards in Reproductive Health, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, S1330 Broadway, Suite 1100, Oakland, CA 94612, United States
| | - Nancy F Berglas
- Advancing New Standards in Reproductive Health, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, S1330 Broadway, Suite 1100, Oakland, CA 94612, United States
| | - William C Kerr
- Alcohol Research Group, Public Health Institute, 6001 Shellmound Ave, Suite 450, Emeryville, CA 94608, United States
| | - Sue Thomas
- National Capital Region Center, Pacific Institute of Research and Evaluation, 4061 Powder Mill Road Suite 350, Beltsville, MD 20705-3113, United States
| | - Ryan Treffers
- National Capital Region Center, Pacific Institute of Research and Evaluation, 4061 Powder Mill Road Suite 350, Beltsville, MD 20705-3113, United States
| | - Guodong Liu
- Center for Applied Studies in Health Economics, Pennsylvania State College of Medicine, 90 Hope Drive, Suite 2200, Hershey, PA 17033, United States
| | - Sarah C M Roberts
- Advancing New Standards in Reproductive Health, Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, S1330 Broadway, Suite 1100, Oakland, CA 94612, United States
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Nyarko SH, Greenberg LT, Phibbs CS, Buzas JS, Lorch SA, Rogowski J, Saade GR, Passarella M, Boghossian NS. Association between stillbirth and severe maternal morbidity. Am J Obstet Gynecol 2024; 230:364.e1-364.e14. [PMID: 37659745 PMCID: PMC10904670 DOI: 10.1016/j.ajog.2023.08.029] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 08/17/2023] [Accepted: 08/28/2023] [Indexed: 09/04/2023]
Abstract
BACKGROUND Severe maternal morbidity has been increasing in the past few decades. Few studies have examined the risk of severe maternal morbidity among individuals with stillbirths vs individuals with live-birth deliveries. OBJECTIVE This study aimed to examine the prevalence and risk of severe maternal morbidity among individuals with stillbirths vs individuals with live-birth deliveries during delivery hospitalization as a primary outcome and during the postpartum period as a secondary outcome. STUDY DESIGN This was a retrospective cohort study using birth and fetal death certificate data linked to hospital discharge records from California (2008-2018), Michigan (2008-2020), Missouri (2008-2014), Pennsylvania (2008-2014), and South Carolina (2008-2020). Relative risk regression analysis was used to examine the crude and adjusted relative risks of severe maternal morbidity along with 95% confidence intervals among individuals with stillbirths vs individuals with live-birth deliveries, adjusting for birth year, state of residence, maternal sociodemographic characteristics, and the obstetric comorbidity index. RESULTS Of the 8,694,912 deliveries, 35,012 (0.40%) were stillbirths. Compared with individuals with live-birth deliveries, those with stillbirths were more likely to be non-Hispanic Black (10.8% vs 20.5%); have Medicaid (46.5% vs 52.0%); have pregnancy complications, including preexisting diabetes mellitus (1.1% vs 4.3%), preexisting hypertension (2.3% vs 6.2%), and preeclampsia (4.4% vs 8.4%); have multiple pregnancies (1.6% vs 6.2%); and reside in South Carolina (7.4% vs 11.6%). During delivery hospitalization, the prevalence rates of severe maternal morbidity were 791 cases per 10,000 deliveries for stillbirths and 154 cases per 10,000 deliveries for live-birth deliveries, whereas the prevalence rates for nontransfusion severe maternal morbidity were 502 cases per 10,000 deliveries for stillbirths and 68 cases per 10,000 deliveries for live-birth deliveries. The crude relative risk for severe maternal morbidity was 5.1 (95% confidence interval, 4.9-5.3), whereas the adjusted relative risk was 1.6 (95% confidence interval, 1.5-1.8). For nontransfusion severe maternal morbidity among stillbirths vs live-birth deliveries, the crude relative risk was 7.4 (95% confidence interval, 7.0-7.7), whereas the adjusted relative risk was 2.0 (95% confidence interval, 1.8-2.3). This risk was not only elevated among individuals with stillbirth during the delivery hospitalization but also through 1 year after delivery (severe maternal morbidity adjusted relative risk, 1.3; 95% confidence interval, 1.1-1.4; nontransfusion severe maternal morbidity adjusted relative risk, 1.2; 95% confidence interval, 1.1-1.3). CONCLUSION Stillbirth was found to be an important contributor to severe maternal morbidity.
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Affiliation(s)
- Samuel H Nyarko
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC
| | | | - Ciaran S Phibbs
- Health Economics Resource Center and Center for Implementation to Innovation, Veterans Affairs Palo Alto Health Care System, Menlo Park, CA; Perinatal Epidemiology and Health Outcomes Research Unit, Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Jeffrey S Buzas
- Department of Mathematics and Statistics, University of Vermont, Burlington, VT
| | - Scott A Lorch
- Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, PA; Leonard Davis Institute of Health Economics, Wharton School, University of Pennsylvania, Philadelphia, PA
| | - Jeannette Rogowski
- Department of Health Policy and Administration, The Pennsylvania State University, State College, PA
| | - George R Saade
- Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, VA
| | - Molly Passarella
- Department of Pediatrics, University of Pennsylvania School of Medicine, Philadelphia, PA
| | - Nansi S Boghossian
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC.
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Jost E, Kosian P, Greiner GG, Icks A, Schmitz MT, Schmid M, Merz WM. Obstetric Medicine: the protocol for a prospective three-dimensional cohort study to assess maternity care for women with pre-existing conditions (ForMaT). Front Med (Lausanne) 2024; 10:1258716. [PMID: 38274449 PMCID: PMC10808351 DOI: 10.3389/fmed.2023.1258716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 12/26/2023] [Indexed: 01/27/2024] Open
Abstract
Background Pregnancies in women with pre-existing medical conditions are on the rise. These pregnancies are characterized by an increased rate of maternal and perinatal complications, which can result in higher health care expenditures and altered pregnancy experiences. The purpose of this study is to integrally analyze maternity care for women with pre-existing conditions in the framework of a risk-adapted, interdisciplinary care by recording three substantial parts of maternity care: (1) maternal and perinatal outcome; (2) hospital costs and reimbursements covering the period from preconception counseling or initial antenatal visit to discharge after birth; and (3) women's experience of reproductive choice and becoming a mother in the presence of a pre-existing condition. Methods In this observational, prospective, longitudinal, and monocentric cohort study, we aim to include a total of 1,500 women over a recruitment period of 15 months. Women registering for care at the Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Germany, are allocated to three groups based on their health and risk status: women with pre-existing conditions, as well as healthy women with obstetric risk factor and healthy women with a low-risk pregnancy. Participants are observed from time of initial consultation until discharge after birth. Analysis focuses on (1) maternal and perinatal outcome, especially rate of severe maternal and neonatal morbidity; (2) costs and reimbursements; and (3) surveys to capture of women's experience and health-related quality of life during the time of reproductive choice, pregnancy, and childbirth in the presence of pre-existing medical conditions. Discussion With its complex three-dimensional design, the ForMaT-Trial is aiming to provide a comprehensive analysis of pregnancy and childbirth in women with pre-existing conditions. The results may serve as a basis for counseling and care of these women. By analyzing costs of specialized care, data for discussing reimbursement are generated. Lastly, our results may increase awareness for the perception of reproductive choice, pregnancy and motherhood in this continuously rising population.Clinical trial registration: German Clinical Trials Register, DRKS00030061, October 28, 2022.
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Affiliation(s)
- Elena Jost
- Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Bonn, Germany
| | - Philipp Kosian
- Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Bonn, Germany
| | - Gregory Gordon Greiner
- Institute of Health Services Research and Health Economics, Faculty of Medicine, Center for Health and Society, Heinrich Heine University Düsseldorf and University Hospital, Düsseldorf, Germany
- Institute of Health Services Research and Health Economics, German Diabetes Center (DDZ), Leibniz Institute for Diabetes Research Germany, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Andrea Icks
- Institute of Health Services Research and Health Economics, Faculty of Medicine, Center for Health and Society, Heinrich Heine University Düsseldorf and University Hospital, Düsseldorf, Germany
- Institute of Health Services Research and Health Economics, German Diabetes Center (DDZ), Leibniz Institute for Diabetes Research Germany, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Marie-Therese Schmitz
- Department of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Matthias Schmid
- Department of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | - Waltraut M. Merz
- Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Bonn, Germany
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Maharjan S, Goswami S, Rong Y, Kirby T, Smith D, Brett CX, Pittman EL, Bhattacharya K. Risk Factors for Severe Maternal Morbidity Among Women Enrolled in Mississippi Medicaid. JAMA Netw Open 2024; 7:e2350750. [PMID: 38190184 PMCID: PMC10774990 DOI: 10.1001/jamanetworkopen.2023.50750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 11/20/2023] [Indexed: 01/09/2024] Open
Abstract
Importance Mississippi has one of the highest rates of severe maternal morbidity (SMM) in the US, and SMMs have been reported to be more frequent among Medicaid-insured women. A substantial proportion of pregnant women in Mississippi are covered by Medicaid; hence, there is a need to identify potential risk factors for SMM in this population. Objective To examine the associations of health care access and clinical and sociodemographic characteristics with SMM events among Mississippi Medicaid-enrolled women who had a live birth. Design, Setting, and Participants A nested case-control study was conducted using 2018 to 2021 Mississippi Medicaid administrative claims database. The study included Medicaid beneficiaries aged 12 to 55 years who had a live birth and were continuously enrolled throughout their pregnancy period and 12 months after delivery. Individuals in the case group had SMM events and were matched to controls on their delivery date using incidence density sampling. Data analysis was performed from June to September 2022. Exposure Risk factors examined in the study included sociodemographic factors (age and race), health care access (distance from delivery center, social vulnerability index, and level of maternity care), and clinical factors (maternal comorbidity index, first-trimester pregnancy-related visits, and postpartum care). Main Outcomes and Measures The main outcome of the study was an SMM event. Adjusted odds ratio (aORs) and 95% CIs were calculated using conditional logistic regression. Results Among 13 485 Mississippi Medicaid-enrolled women (mean [SD] age, 25.0 [5.6] years; 8601 [63.8%] Black; 4419 [32.8%] White; 465 [3.4%] other race [American Indian, Asian, Hispanic, multiracial, and unknown]) who had a live birth, 410 (3.0%) were in the case group (mean [SD] age, 26.8 [6.4] years; 289 [70.5%] Black; 112 [27.3%] White; 9 [2.2%] other race) and 820 were in the matched control group (mean [SD] age, 24.9 [5.7] years; 518 [63.2%] Black; 282 [34.4%] White; 20 [2.4%] other race). Black individuals (aOR, 1.44; 95% CI, 1.08-1.93) and those with higher maternal comorbidity index (aOR, 1.27; 95% CI, 1.16-1.40) had higher odds of experiencing SMM compared with White individuals and those with lower maternal comorbidity index, respectively. Likewise, an increase of 100 miles (160 km) in distance between beneficiaries' residence to the delivery center was associated with higher odds of experiencing SMM (aOR, 1.14; 95% CI, 1.07-1.20). Conclusions and Relevance The study findings hold substantial implications for identifying high-risk individuals within Medicaid programs and call for the development of targeted multicomponent, multilevel interventions for improving maternal health outcomes in this highly vulnerable population.
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Affiliation(s)
- Shishir Maharjan
- Department of Pharmacy Administration, University of Mississippi School of Pharmacy, University
- Center for Pharmaceutical Marketing and Management, University of Mississippi School of Pharmacy, University
| | - Swarnali Goswami
- Department of Pharmacy Administration, University of Mississippi School of Pharmacy, University
- Center for Pharmaceutical Marketing and Management, University of Mississippi School of Pharmacy, University
- Now with Complete Health Economics and Outcomes Solutions, LLC, Chalfont, Pennsylvania
| | - Yiran Rong
- Department of Pharmacy Administration, University of Mississippi School of Pharmacy, University
- Center for Pharmaceutical Marketing and Management, University of Mississippi School of Pharmacy, University
- Now with MedTech Epidemiology and Real-World Data Sciences, Johnson and Johnson, New Brunswick, New Jersey
| | | | | | | | - Eric L. Pittman
- Department of Pharmacy Administration, University of Mississippi School of Pharmacy, University
- Center for Pharmaceutical Marketing and Management, University of Mississippi School of Pharmacy, University
| | - Kaustuv Bhattacharya
- Department of Pharmacy Administration, University of Mississippi School of Pharmacy, University
- Center for Pharmaceutical Marketing and Management, University of Mississippi School of Pharmacy, University
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Guglielminotti J, Samari G, Friedman AM, Landau R, Li G. State-Level Indicators of Structural Racism and Severe Adverse Maternal Outcomes During Childbirth. Matern Child Health J 2024; 28:165-176. [PMID: 37938439 DOI: 10.1007/s10995-023-03828-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/24/2023] [Indexed: 11/09/2023]
Abstract
OBJECTIVES Structural racism (SR) is viewed as a root cause of racial and ethnic disparities in maternal health outcomes. However, evidence linking SR to increased odds of severe adverse maternal outcomes (SAMO) is scant. This study assessed the association between state-level indicators of SR and SAMO during childbirth. METHODS Data for non-Hispanic Black and non-Hispanic white women came from the US Natality file, 2017-2018. The exposures were state-level Black-to-white inequity ratios for lower education level, unemployment, and prison incarceration. The outcome was patient-level SAMO, including eclampsia, blood transfusion, hysterectomy, or intensive care unit admission. Adjusted odds ratios (aORs) of SAMO associated with each ratio were estimated using multilevel models adjusting for patient, hospital, and state characteristics. RESULTS A total of 4,804,488 birth certificates were analyzed, with 22.5% for Black women. SAMO incidence was 106.4 per 10,000 (95% CI 104.5, 108.4) for Black women, and 72.7 per 10,000 (95% CI 71.8, 73.6) for white women. Odds of SAMO increased 35% per 1-unit increase in the unemployment ratio for Black women (aOR 1.35; 95% CI 1.04, 1.73), and 16% for white women (aOR 1.16; 95% CI 1.01, 1.33). Odds of SAMO increased 6% per 1-unit increase in the incarceration ratio for Black women (aOR 1.06; 95% CI 1.03, 1.10), and 4% for white women (aOR 1.04; 95% CI 1.02, 1.06). No significant association was observed between SAMO and the lower education level ratio. CONCLUSIONS FOR PRACTICE State-level Black-to-white inequity ratios for unemployment and incarceration are associated with significantly increased odds of SAMO.
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Affiliation(s)
- Jean Guglielminotti
- Department of Anesthesiology, Columbia University Vagelos College of Physicians and Surgeons, 622 West 168th Street, PH5-505, New York, NY, 10032, USA.
| | - Goleen Samari
- Heilbrunn Department of Population and Family Health, Columbia University Mailman School of Public Health, 722 West 168th Street, New York, NY, 10032, USA
| | - Alexander M Friedman
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Columbia University Vagelos College of Physicians and Surgeons, 622 West 168th Street, New York, NY, 10032, USA
| | - Ruth Landau
- Department of Anesthesiology, Columbia University Vagelos College of Physicians and Surgeons, 622 West 168th Street, PH5-505, New York, NY, 10032, USA
| | - Guohua Li
- Department of Anesthesiology, Columbia University Vagelos College of Physicians and Surgeons, 622 West 168th Street, PH5-505, New York, NY, 10032, USA
- Department of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th Street, New York, NY, 10032, USA
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11
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Roese N, Lan CW, Tirumala K, Joshi S. Community-Level Factors are Predictors of Severe Maternal Morbidity Among American Indian and Alaska Native Pregnant People in the Pacific Northwest in a Multilevel Logistic Regression. Matern Child Health J 2024; 28:125-134. [PMID: 37955840 DOI: 10.1007/s10995-023-03811-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/23/2023] [Indexed: 11/14/2023]
Abstract
INTRODUCTION American Indian/Alaska Native (AI/AN) pregnant people face barriers to health and healthcare that put them at risk of pregnancy complications. Rates of severe maternal morbidity (SMM) among Indigenous pregnant people are estimated to be twice that of non-Hispanic White (NHW) pregnant people. METHODS Race-corrected Oregon Hospital Discharge and Washington Comprehensive Hospital Abstract Reporting System data were combined to create a joint dataset of births between 2012 and 2016. The analytic sample was composed of 12,535 AI/AN records and 313,046 NHW records. A multilevel logistic regression was used to assess the relationship between community-level, individual and pregnancy risk factors on SMM for AI/AN pregnant people. RESULTS At the community level, AI/AN pregnant people were more likely than NHW to live in mostly or completely rural counties with low median household income and high uninsured rates. They were more likely to use Medicaid, be in a high-risk age category, and have diabetes or obesity. During pregnancy, AI/AN pregnant people were more likely to have insufficient prenatal care (PNC), gestational diabetes, and pre-eclampsia. In the multilevel model, county accounted for 6% of model variance. Hypertension pre-eclampsia, and county rurality were significant predictors of SMM among AI/AN pregnant people. High-risk age, insufficient PNC and a low county insured rate were near-significant at p < 0.10. DISCUSSION Community-level factors are significant contributors to SMM risk for AI/AN pregnant people in addition to hypertension and pre-eclampsia. These findings demonstrate the need for targeted support in pregnancy to AI/AN pregnant people, particularly those who live in rural and underserved communities.
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Affiliation(s)
- Natalie Roese
- Northwest Portland Area Indian Health Board, Portland, OR, USA.
| | - Chiao Wen Lan
- Northwest Portland Area Indian Health Board, Portland, OR, USA
| | - Karuna Tirumala
- Northwest Portland Area Indian Health Board, Portland, OR, USA
| | - Sujata Joshi
- Northwest Portland Area Indian Health Board, Portland, OR, USA
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12
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Kandemir H, Bülbül GA, Kirtiş E, Güney S, Sanhal CY, Mendilcioğlu İİ. Evaluation of long-COVID symptoms in women infected with SARS-CoV-2 during pregnancy. Int J Gynaecol Obstet 2024; 164:148-156. [PMID: 37387323 DOI: 10.1002/ijgo.14972] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 06/04/2023] [Accepted: 06/15/2023] [Indexed: 07/01/2023]
Abstract
OBJECTIVE To evaluate the symptoms of Long COVID (LC), frequency of symptoms, and possible risk factors in women diagnosed with coronavirus disease 2019 (COVID-19) during pregnancy. METHODS We conducted a single-center, cross-sectional, retrospective study in 99 pregnant women who were polymerase chain reaction-positive (PCR+) for COVID-19 between March 1, 2020 and April 30, 2022. The control group consisted of 99 women who gave birth between these dates and did not have COVID-19. We evaluated the clinical manifestations, symptom prevalence, and symptom characteristics of acute COVID-19 and the LC in the PCR+ group as well as questioned the control group for LC symptoms. RESULTS Of the women in the PCR+ group, 74 (74.7%) had at least one LC symptom, and the most common symptoms were fatigue (54; 72.9%), myalgia/arthralgia (49; 66.2%), and anosmia/ageusia (31; 41.9%). The rate of LC symptoms in the control group was 14 (14.1%). The prevalence of LC symptoms was higher in severely/critically symptomatic patients (23; 100%) in the acute period of disease than in asymptomatic/mildly symptomatic (51; 67.1%) (P = 0.005). Hospitalization during acute infection (adjusted odds ratio [aOR] = 13.30), having one or more symptoms (aOR = 4.75), and having symptoms such as cough (aOR = 6.27) and myalgia/arthralgia (aOR = 12.93) increased the likelihood of LC. CONCLUSION Many women experienced LC after suffering acute COVID-19 in pregnancy, but LC prevalence was similar to the general population. LC correlates with severity, type, and number of symptoms of acute COVID-19.
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Affiliation(s)
- Hülya Kandemir
- Division of Perinatology, The Department of Obstetrics and Gynecology, Akdeniz University Faculty of Medicine, Antalya, Türkiye
| | - Gül Alkan Bülbül
- Division of Perinatology, The Department of Obstetrics and Gynecology, Akdeniz University Faculty of Medicine, Antalya, Türkiye
| | - Emine Kirtiş
- Division of Perinatology, The Department of Obstetrics and Gynecology, Akdeniz University Faculty of Medicine, Antalya, Türkiye
| | - Selin Güney
- Division of Perinatology, The Department of Obstetrics and Gynecology, Akdeniz University Faculty of Medicine, Antalya, Türkiye
| | - Cem Yaşar Sanhal
- Division of Perinatology, The Department of Obstetrics and Gynecology, Akdeniz University Faculty of Medicine, Antalya, Türkiye
| | - İbrahim İnanç Mendilcioğlu
- Division of Perinatology, The Department of Obstetrics and Gynecology, Akdeniz University Faculty of Medicine, Antalya, Türkiye
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Attanasio L, Jeung C, Geissler KH. Association of Postpartum Mental Illness Diagnoses with Severe Maternal Morbidity. J Womens Health (Larchmt) 2023. [PMID: 38153367 DOI: 10.1089/jwh.2023.0244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2023] Open
Abstract
Background: This study aimed to determine whether birthing people who experience severe maternal morbidity (SMM) are more likely to be diagnosed with a postpartum mental illness. Materials and Methods: Using the Massachusetts All Payer Claims Database, this study used modified Poisson regression analysis to assess the association of SMM with mental illness diagnosis during the postpartum year, accounting for prenatal mental illness diagnoses and other patient characteristics. Results: There were 128,161 deliveries identified, with 55.0% covered by Medicaid. Of these, 3.1% experienced SMM during pregnancy and/or delivery hospitalization, and 20.1% had a mental illness diagnosis within 1 year postpartum. In adjusted regression analyses, individuals with SMM had a 10.6% increased risk of having any mental illness diagnosis compared to individuals without SMM, primarily due to an increased risk of a depression or post-traumatic stress disorder diagnosis among people with SMM than those without SMM. Conclusions: Individuals who experienced SMM had a higher risk of a mental illness diagnosis in the postpartum year. Given increases in SMM in the United States in recent decades, policies to mitigate mental health sequelae of SMM are urgently needed.
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Affiliation(s)
- Laura Attanasio
- Department of Health Promotion and Policy, University of Massachusetts Amherst School of Public Health and Health Sciences, Amherst, Massachusetts, USA
| | - Chanup Jeung
- Department of Health Policy, Management and Behavior, School of Public Health, State University of New York-University at Albany School of Public Health, Albany, New York, USA
| | - Kimberley H Geissler
- Department of Healthcare Delivery and Population Sciences, UMass Chan Medical School-Baystate, Springfield, Massachusetts, USA
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Declercq ER, Cabral HJ, Liu CL, Amutah-Onukagha N, Meadows A, Cui X, Diop H. Prior Hospitalization, Severe Maternal Morbidity, and Pregnancy-Associated Deaths in Massachusetts From 2002 to 2019. Obstet Gynecol 2023; 142:1423-1430. [PMID: 37797329 PMCID: PMC10843823 DOI: 10.1097/aog.0000000000005398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 07/28/2023] [Indexed: 10/07/2023]
Abstract
OBJECTIVE To examine demographic and clinical precursors to pregnancy-associated deaths overall and when pregnancy-related deaths are excluded. METHODS We conducted a retrospective cohort study based on a Massachusetts population-based data system linking data from live birth and fetal death certificates to corresponding delivery hospital discharge records and a birthing individual's nonbirth hospital contacts and associated death records. Exposures included maternal demographics, severe maternal morbidity (without transfusion), hospitalizations in the 3 years before pregnancy, comorbidities during pregnancy, and opioid use. In cases of postpartum deaths, hospitalization between delivery and death was examined. The primary outcome measure was pregnancy-associated death , defined as death during pregnancy or up to 1 year postpartum. RESULTS There were 1,291,626 deliveries between 2002 and 2019, of which 384 were linked to pregnancy-associated deaths. Pregnancy-associated but not pregnancy-related deaths (per 100,000 deliveries) were highest for birthing people with opioid use before pregnancy (498.3), severe maternal morbidity (387.3), a comorbidity (106.3), or a prior hospitalization (88.9). In multivariable analysis, the adjusted risk ratios associated with severe maternal morbidity (9.37, 95% CI, 6.14-14.31) and opioid use (6.49, 95%, CI, 3.71-11.35) were highest. Individuals with pregnancy-associated deaths were also more likely to have been hospitalized before or during pregnancy (2.30, 95% CI, 1.62-3.26). Among postpartum deaths, more than two-thirds (69.9%) of birthing people had a hospital contact after delivery and before their death. CONCLUSION Severe maternal morbidity and opioid use disorder were precursors to pregnancy-associated deaths. Individuals with pregnancy-associated but not pregnancy-related deaths experienced a history of hospital contacts during and after pregnancy before death.
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Affiliation(s)
- Eugene R Declercq
- Boston University School of Public Health, the Department of Public Health and Community Medicine, Tufts University School of Medicine, and the Massachusetts Department of Public Health, Boston, and Evalogic Services, Inc., Newton, Massachusetts; and the Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Diego, San Diego, California
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15
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Fingar KR, Weiss AJ, Roemer M, Agniel D, Reid LD. Effects of the COVID-19 early pandemic on delivery outcomes among women with and without COVID-19 at birth. Birth 2023; 50:996-1008. [PMID: 37530067 DOI: 10.1111/birt.12753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 07/06/2023] [Accepted: 07/17/2023] [Indexed: 08/03/2023]
Abstract
BACKGROUND The COVID-19 pandemic may influence delivery outcomes through direct effects of infection or indirect effects of disruptions in prenatal care. We examined early pandemic-related changes in birth outcomes for pregnant women with and without a COVID-19 diagnosis at delivery. METHODS We compared four delivery outcomes-preterm delivery (PTD), severe maternal morbidity (SMM), stillbirth, and cesarean birth-between 2017 and 2019 (prepandemic) and between April and December 2020 (early-pandemic) using interrupted time series models on 11.8 million deliveries, stratified by COVID-19 infection status at birth with entropy weighting for historical controls, from the Healthcare Cost and Utilization Project across 43 states and the District of Columbia. RESULTS Relative to 2017-2019, women without COVID-19 at delivery in 2020 had lower odds of PTD (OR = 0.93; 95% CI = 0.92-0.94) and SMM (OR = 0.88; 95% CI = 0.85-0.91) but increased odds of stillbirth (OR = 1.04; 95% CI = 1.01-1.08). Absolute effects were small across race/ethnicity groups. Deliveries with COVID-19 had an excess of each outcome, by factors of 1.07-1.46 for outcomes except SMM at 4.21. The effect for SMM was more pronounced for Asian/Pacific Islander non-Hispanic (API; OR = 10.51; 95% CI = 5.49-20.14) and Hispanic (OR = 5.09; 95% CI = 4.29-6.03) pregnant women than for White non-Hispanic (OR = 3.28; 95% CI = 2.65-4.06) women. DISCUSSION Decreasing rates of PTD and SMM and increasing rates of stillbirth among deliveries without COVID-19 were small but suggest indirect effects of the pandemic on maternal outcomes. Among pregnant women with COVID-19 at delivery, adverse effects, particularly SMM for API and Hispanic women, underscore the importance of addressing health disparities.
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Affiliation(s)
| | | | - Marc Roemer
- Agency for Healthcare Research and Quality, Rockville, Maryland, USA
| | | | - Lawrence D Reid
- Agency for Healthcare Research and Quality, Rockville, Maryland, USA
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Liu J, Hung P, Zhang J, Olatosi B, Shih Y, Liang C, Campbell BA, Hikmet N, Li X. Severe maternal morbidity by race and ethnicity before vs. during the COVID-19 pandemic. Ann Epidemiol 2023; 88:51-61. [PMID: 37952778 PMCID: PMC10843780 DOI: 10.1016/j.annepidem.2023.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 11/06/2023] [Accepted: 11/08/2023] [Indexed: 11/14/2023]
Abstract
PURPOSE To examine the change in racial disparity in severe maternal morbidity (SMM) during the COVID-19 pandemic and the associations between SARS-CoV-2 infection and SMM. METHODS This retrospective cohort study used linked databases of all livebirths delivered between 2018 and 2021 in South Carolina (n = 162,576). Exposures were 1) pre-pandemic and pandemic periods (before vs. March 2020 onwards); 2) SARS-CoV-2 infection, severity, and timing of first infection. Log-binomial regression models were used. RESULTS SMM rate was higher among pandemic childbirths than pre-pandemic period (p = 0.06). The risk of SMM among Hispanics was doubled from pre-pandemic to pandemic periods (adjusted relative risk (aRR)= 2.50, 95% CI: 1.27, 4.94). During pre-pandemic, compared to White women, Black women (aRR=1.37, 95% CI: 1.14-1.64), while Hispanics had lower risk of SMM (aRR=0.42, 95% CI: 0.24-0.73). During the pandemic, the Black-White difference in the risk of SMM persisted (aRR=1.24, 95% CI: 1.00-1.54) and Hispanic-White difference in SMM risk became insignificant (aRR=0.85, 95% CI: 0.54-1.34). SARS-CoV-2 infection, its severity, and the late diagnosis were associated with 1.78-5.06 times higher risk of SMM. CONCLUSIONS During pandemic, Black-White racial disparity in SMM persisted but the relative pre-pandemic advantage in SMM among Hispanic women over White women disappeared during the pandemic.
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Affiliation(s)
- Jihong Liu
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA.
| | - Peiyin Hung
- Department of Health Services Policy & Management, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Big Data Health Science Center, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
| | - Jiajia Zhang
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Big Data Health Science Center, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
| | - Bankole Olatosi
- Department of Health Services Policy & Management, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Big Data Health Science Center, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
| | - Yiwen Shih
- Department of Health Services Policy & Management, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
| | - Chen Liang
- Department of Health Services Policy & Management, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Big Data Health Science Center, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
| | - Berry A Campbell
- Department of Obstetrics and Gynecology, School of Medicine, University of South Carolina, Two Medical Park, Columbia, SC 29203, USA
| | - Neset Hikmet
- Big Data Health Science Center, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Department of Integrated Information Technology, College of Engineering and Computing, University of South Carolina, 550 Assembly Street, Columbia, SC 29208, USA
| | - Xiaoming Li
- Big Data Health Science Center, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA; Department of Health Promotion, Education, & Behavior, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
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Hales EDS, Ferketich AK, Klebanoff MA. The racial disparity of severe maternal morbidity across weeks of gestation: a cross-sectional analysis of the 2019 National Inpatient Sample. Am J Obstet Gynecol 2023:S0002-9378(23)02030-6. [PMID: 37979826 DOI: 10.1016/j.ajog.2023.11.1228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 11/03/2023] [Accepted: 11/09/2023] [Indexed: 11/20/2023]
Abstract
BACKGROUND Severe maternal morbidity is increasing in the United States. Black women experience the highest rates of severe maternal morbidity and also of preterm births, which are associated with severe maternal morbidity. The racial disparity of severe maternal morbidity across weeks of gestation has not been well-studied. OBJECTIVE This study aimed to evaluate differences in severe maternal morbidity between Black and White birthing people by week of gestation. Differences may indicate periods of pregnancy when Black women are particularly vulnerable to severe maternal morbidity and may require additional interventions. STUDY DESIGN This was a cross-sectional study using the National Inpatient Sample from 2019. We used International Classification of Diseases codes from Centers for Disease Control and Prevention guidelines to identify severe maternal morbidity from delivery hospitalizations. We examined the rates of severe maternal morbidity in Black vs White women by week of gestation to evaluate periods of pregnancy when Black women experience additional risks of severe maternal morbidity while adjusting for age, region, medical comorbidities, and Medicaid enrollment. Severe maternal morbidity was analyzed while both including and excluding cases for which blood transfusion was the only indicator of severe maternal morbidity. RESULTS Overall, Black birthing people had twice the rate of severe maternal morbidity births compared with White birthing people (2.7% vs 1.3%; P<.0001) and were more likely to deliver preterm (14.7% vs 9.4%; P<.0001). The racial disparity of severe maternal morbidity was present throughout all weeks of gestation, with the largest gap observed at extremely and moderately preterm gestations (22-33 weeks). Rates of severe maternal morbidity for Black women peaked at 22 to 33 weeks' gestation and were lowest at term (≥37 weeks). Black women had a greater proportion of severe maternal morbidity cases due to blood transfusion (68.3% vs 64.5%; P<.01) and acute renal failure (11.1% vs 8.5%; P<.001). CONCLUSION Black women experience a substantially higher rate of severe maternal morbidity at preterm gestations (22-36 weeks) in addition to higher rates of preterm delivery. Even when accounting for age, medical comorbidities, and social determinants, Black birthing people have higher odds of severe maternal morbidity throughout pregnancy.
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Affiliation(s)
- Emily D S Hales
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH
| | - Amy K Ferketich
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH
| | - Mark A Klebanoff
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH; Center for Perinatal Research, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH.
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Chen J, Ouyang L, Goodman DA, Okoroh EM, Romero L, Ko JY, Cox S. Association of Medicaid Expansion Under the Affordable Care Act With Medicaid Coverage in the Prepregnancy, Prenatal, and Postpartum Periods. Womens Health Issues 2023; 33:582-591. [PMID: 37951662 PMCID: PMC11018307 DOI: 10.1016/j.whi.2023.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 08/01/2023] [Accepted: 08/08/2023] [Indexed: 11/14/2023]
Abstract
INTRODUCTION We evaluated how the Affordable Care Act (ACA) Medicaid eligibility expansion affected perinatal insurance coverage patterns for Medicaid-enrolled beneficiaries who gave birth overall and by race/ethnicity. We also examined state-level heterogeneous impacts. METHODS Using the 2011-2013 Medicaid Analytic eXtract and the 2016-2018 Transformed Medicaid Statistical Information System Analytic File databases, we identified 1.4 million beneficiaries giving birth in 2012 (pre-ACA expansion cohort) and 1.5 million in 2017 (post-ACA expansion cohort). We constructed monthly coverage rates for the two cohorts by state Medicaid expansion status and obtained difference-in-differences estimates of the association of Medicaid expansion with coverage overall and by race/ethnicity group (non-Hispanic White, non-Hispanic Black, and Hispanic). To explore state-level heterogeneous impacts, we divided the expansion and non-expansion states into groups based on the differences in the income eligibility limits for low-income parents in each state between 2012 and 2017. RESULTS Medicaid expansion was associated with 13 percentage points higher coverage in the 9 to 12 months before giving birth, and 11 percentage points higher coverage at 6 to 12 months postpartum. Hispanic birthing individuals had the greatest relative increases in coverage, followed by non-Hispanic White and non-Hispanic Black individuals. In Medicaid expansion states, those who experienced the greatest increases in income eligibility limits for low-income parents generally saw the greatest increases in coverage. In non-expansion states, there was less heterogeneity between state groupings. CONCLUSIONS Pregnancy-related Medicaid eligibility did not have major changes in the 2010s. However, states' adoption of ACA Medicaid expansion after 2012 was associated with increased Medicaid coverage before, during, and after pregnancy. The increases varied by race/ethnicity and across states.
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Affiliation(s)
- Jiajia Chen
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia; Mathematica, Atlanta, Georgia.
| | - Lijing Ouyang
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - David A Goodman
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - Ekwutosi M Okoroh
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - Lisa Romero
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - Jean Y Ko
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
| | - Shanna Cox
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP), Centers for Disease Control and Prevention (CDC), Atlanta, Georgia
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Muchomba FM, Teitler JO, Reichman NE. Municipal social expenditures and maternal health disparities: a study of linked birth and hospitalisation records. J Epidemiol Community Health 2023; 78:jech-2023-220558. [PMID: 37875339 PMCID: PMC11039565 DOI: 10.1136/jech-2023-220558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 10/02/2023] [Indexed: 10/26/2023]
Abstract
BACKGROUND Local government expenditures provide services and benefits that can affect health but the extent to which they are associated with narrowing or widening of racial/ethnic and socioeconomic disparities in health is unknown. We examined race/ethnicity-stratified and education-stratified associations between municipal social expenditures-those on housing, transportation, education, and other society-wide needs-and serious life-threatening maternal health conditions in a large US state. METHODS In this cross-sectional study, we used individual birth records for 1 003 974 births in the state of New Jersey from 1 January 2008 to 31 December 2018 linked to individual maternal hospital discharge records and municipality-level characteristics for 564 municipalities. Severe maternal morbidity (SMM) was identified in the discharge records using a measure developed by the US Centers for Disease Control and Prevention. Associations between municipal-level social expenditures per capita and SMM were estimated using multilevel logistic models. RESULTS Residing in a municipality with higher social expenditures was associated with lower odds of SMM across all racial/ethnic groups and education levels. Overall, 1% higher annual social expenditures per capita was associated with 0.21% (95% CI -0.29 to -0.13) lower odds of SMM. The associations were greater for individuals with less than a high school education than for those in the other educational groups in both relative (lnOR -0.53; 95% CI -0.74 to -0.31) and absolute (β -0.013; 95% CI -0.019 to -0.008) terms. CONCLUSION Municipal-level spending on social services is associated with narrowing socioeconomic disparities in SMM. Narrowing racial/ethnic disparities in maternal health will likely require intervening beyond the provision of services to addressing historical and ongoing structural factors.
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Affiliation(s)
- Felix M Muchomba
- School of Social Work, Rutgers, The State University of New Jersey, New Brunswick, New Jersey, USA
| | - Julien O Teitler
- School of Social Work, Columbia University, New York, New York, USA
| | - Nancy E Reichman
- Department of Pediatrics, Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA
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Kramer A, Ti A, Travis L, Laboe A, Ochieng WO, Young MR. The impact of parental involvement laws on minors seeking abortion services: a systematic review. Health Aff Sch 2023; 1:qxad045. [PMID: 38756747 PMCID: PMC10986272 DOI: 10.1093/haschl/qxad045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 07/10/2023] [Accepted: 09/15/2023] [Indexed: 05/18/2024]
Abstract
On June 24, 2022, the US Supreme Court overturned the constitutional right to abortion in Dobbs v Jackson Women's Health Organization. Minors are a vulnerable population with a high risk of unintended pregnancy who are likely to be disproportionately affected by abortion restrictions. Examining the impact of historical abortion restrictions in minors may provide insight into the anticipated effects of the Dobbs decision. This study is a systematic review examining the impact of parental involvement (PI) laws on minors seeking abortion services. Our review suggests an association between PI laws and decreased abortion rates. Parental involvement laws also may increase pregnancy and birth rates and out-of-state travel for abortion procedures and lead to later abortions, although effects appear to be heterogenous.
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Affiliation(s)
- Alisha Kramer
- Department of Gynecology and Obstetrics, Emory University School of Medicine,Atlanta, GA 30322, United States
| | - Angeline Ti
- Family Medicine, Wellstar Hospital,Morrow, GA 30260, United States
| | - Lisa Travis
- Woodruff Health Sciences Center Library, Emory University,Atlanta, GA 30322, United States
| | - Adrienne Laboe
- Department of Obstetrics and Gynecology, Madigan Army Medical Center, Joint Base Lewis-McChord, WA 98431, United States
| | | | - Marisa R Young
- Department of Gynecology and Obstetrics, Emory University School of Medicine,Atlanta, GA 30322, United States
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Osei-Poku GK, Prentice JC, Peeler M, Bernstein SN, Iverson RE, Schiff DM. Risk of Severe Maternal Morbidity in Birthing People With Opioid Use Disorder. Womens Health Issues 2023; 33:524-531. [PMID: 37423777 DOI: 10.1016/j.whi.2023.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 05/29/2023] [Accepted: 06/09/2023] [Indexed: 07/11/2023]
Abstract
INTRODUCTION We examined severe maternal morbidity (SMM) among birthing people with opioid use disorder (OUD) and evaluated the extent to which differences in SMM exist by race and ethnicity. METHODS We performed a retrospective cohort study using hospital discharge data for all Massachusetts births between 2016 and 2020. SMM rates for all SMM indicators, except transfusions, were computed for those diagnosed with and without OUD. Multivariable logistic regression was used to examine the association between OUD and SMM after adjusting for patient and hospital characteristics, including race and ethnicity. RESULTS Among 324,012 childbirths, the SMM rate was 148 (95% confidence interval [CI]. 115-189) per 10,000 childbirths among birthing people with OUD compared with 88 (95% CI, 85-91) for those without. In adjusted models, both OUD and race/ethnicity were significantly associated with SMM. Birthing people with OUD had 2.12 (95% CI, 1.64-2.75) times the odds of experiencing an SMM event compared with those without. Non-Hispanic Black and Hispanic birthing people were at 1.85 (95% CI, 1.65-2.07) and 1.26 (95% CI, 1.13-1.41) higher odds of experiencing SMM compared with non-Hispanic White birthing people. Among birthing people with OUD, the odds of SMM were not significantly different between birthing people of color and non-Hispanic White individuals. CONCLUSIONS Birthing people with OUD are at an elevated risk of SMM, underscoring the need for improved access to OUD treatment and increased support. Perinatal quality improvement collaboratives should measure SMM in bundles aimed at improving outcomes for birthing people with OUD.
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Affiliation(s)
- Godwin K Osei-Poku
- Betsy Lehman Center for Patient Safety, Commonwealth of Massachusetts, Boston, Massachusetts.
| | - Julia C Prentice
- Betsy Lehman Center for Patient Safety, Commonwealth of Massachusetts, Boston, Massachusetts; Boston University School of Medicine, Boston, Massachusetts
| | - Mary Peeler
- Department of Gynecology and Obstetrics, School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Sarah N Bernstein
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology and Reproductive Biology, Massachusetts General Hospital, Boston, Massachusetts
| | - Ronald E Iverson
- Boston University School of Medicine, Boston, Massachusetts; Department of Obstetrics and Gynecology, Boston Medical Center, Boston, Massachusetts
| | - Davida M Schiff
- Division of General Academic Pediatrics and Newborn Medicine, Mass General Hospital for Children, Boston, Massachusetts
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Frey HA, Ashmead R, Farmer A, Kim YH, Shellhaas C, Oza-Frank R, Jackson RD, Costantine MM, Lynch CD. A Prediction Model for Severe Maternal Morbidity and Mortality After Delivery Hospitalization. Obstet Gynecol 2023; 142:585-593. [PMID: 37535951 PMCID: PMC10526683 DOI: 10.1097/aog.0000000000005281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 05/25/2023] [Indexed: 08/05/2023]
Abstract
OBJECTIVE To develop a risk stratification model for severe maternal morbidity (SMM) or mortality after the delivery hospitalization based on information available at the time of hospital discharge. METHODS This population-based cohort study included all pregnancies among Ohio residents with Medicaid insurance from 2012 to 2017. Pregnant individuals were identified using linked live birth and fetal death records and Medicaid claims data. Inclusion was restricted to those with continuous postpartum Medicaid enrollment and delivery at 20 or more weeks of gestation. The primary outcome of the study was SMM or mortality after the delivery hospitalization and was assessed up to 42 days postpartum and up to 1 year postpartum separately. Variables considered for the model included patient-, obstetric health care professional-, and system-level data available in vital records or Medicaid claims data. Parsimonious models were created with logistic regression and were internally validated. Receiver operating characteristic curves were used to evaluate model performance, and model calibration was assessed. RESULTS There were 343,842 pregnant individuals who met inclusion criteria with continuous Medicaid enrollment through 42 days postpartum and 287,513 with continuous enrollment through 1 year. After delivery hospitalization discharge, the incidence of SMM or mortality was 140.5 per 10,000 pregnancies through 42 days of delivery and 330.7 per 10,000 pregnancies through 1 year postpartum. The final model predicting SMM or mortality through 42 days postpartum included maternal prepregnancy body mass index, age, gestational age at delivery, mode of delivery, chorioamnionitis, and maternal diagnosis of cardiac disease, preeclampsia or gestational hypertension, or a mental health condition. Similar variables were included in the model predicting SMM or mortality through 365 days with chronic hypertension, pregestational diabetes, and illicit substance use added and chorioamnionitis removed. Both models demonstrated moderate prediction (area under the curve [AUC] 0.77, 95% CI 0.76-0.78 for 42-day model; AUC 0.72, 95% CI 0.71-0.73 for the 1-year model) and good calibration. CONCLUSION A prediction model for SMM or mortality up to 1 year postpartum was created and internally validated with information available to health care professionals at the time of hospital discharge. The utility of this model for patient counseling and strategies to optimize postpartum care for high-risk individuals will require further evaluation.
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Affiliation(s)
- Heather A Frey
- Department of Obstetrics and Gynecology, The Ohio State University College of Medicine, the Ohio Colleges of Medicine Government Resource Center and the Departments of Internal Medicine/Endocrinology and Diabetes and Metabolism, The Ohio State University, and the Bureau of Maternal, Child and Family Health, Ohio Department of Health, Columbus, Ohio
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Roberts SCM, Schulte A, Zaugg C, Leslie DL, Corr TE, Liu G. Association of Pregnancy-Specific Alcohol Policies With Infant Morbidities and Maltreatment. JAMA Netw Open 2023; 6:e2327138. [PMID: 37535355 PMCID: PMC10401306 DOI: 10.1001/jamanetworkopen.2023.27138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 06/23/2023] [Indexed: 08/04/2023] Open
Abstract
Importance Research has found associations of pregnancy-specific alcohol policies with increased low birth weight and preterm birth, but associations with other infant outcomes are unknown. Objective To examine the associations of pregnancy-specific alcohol policies with infant morbidities and maltreatment. Design, Setting, and Participants This retrospective cohort study used outcome data from Merative MarketScan, a national database of private insurance claims. The study cohort included individuals aged 25 to 50 years who gave birth to a singleton between 2006 and 2019 in the US, had been enrolled 1 year before and 1 year after delivery, and could be matched with an infant. Data were analyzed from August 2021 to April 2023. Exposures Nine state-level pregnancy-specific alcohol policies obtained from the National Institute on Alcohol Abuse and Alcoholism's Alcohol Policy Information System. Main Outcomes and Measures The primary outcomes were 1 or more infant injuries associated with maltreatment and infant morbidities associated with maternal alcohol consumption within the first year. Logistic regression, adjusting for individual-level and state-level controls, and fixed effects for state, year, state-specific time trends, and SEs clustered by state were used. Results A total of 1 432 979 birthing person-infant pairs were included (mean [SD] age of birthing people, 32.2 [4.2] years); 30 157 infants (2.1%) had injuries associated with maltreatment, and 44 461 (3.1%) infants had morbidities associated with alcohol use during pregnancy. The policies of Reporting Requirements for Assessment/Treatment (adjusted odds ratio [aOR], 1.28; 95% CI, 1.08-1.52) and Mandatory Warning Signs (aOR, 1.18; 95% CI, 1.10-1.27) were associated with increased odds of infant injuries but not morbidities. Priority Treatment for Pregnant Women Only was associated with decreased odds of infant injuries (aOR, 0.83; 95% CI, 0.76-0.90) but not infant morbidities. Civil Commitment was associated with increased odds of infant injuries (aOR, 1.26; 95% CI, 1.08-1.48) but decreased odds of infant morbidities (aOR, 0.57; 95% CI, 0.53-0.62). Priority Treatment for Pregnant Women and Women With Children was associated with increased odds of both infant injuries (aOR, 1.12; 95% CI, 1.00-1.25) and infant morbidities (aOR, 1.08; 95% CI, 1.03-1.13). Reporting Requirements for Child Protective Services, Reporting Requirements for Data, Child Abuse/Neglect, and Limits on Criminal Prosecution were not associated with infant injuries or morbidities. Conclusions and Relevance In this cohort study, most pregnancy-specific alcohol policies were not associated with decreased odds of infant injuries or morbidities. Policy makers should not assume that pregnancy-specific alcohol policies improve infant health.
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Affiliation(s)
- Sarah C. M. Roberts
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, Oakland
| | - Alex Schulte
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, Oakland
| | - Claudia Zaugg
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, Oakland
| | - Douglas L. Leslie
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania
| | - Tammy E. Corr
- Department of Pediatrics, Penn State College of Medicine, Hershey, Pennsylvania
| | - Guodong Liu
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, Pennsylvania
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Dantas-Silva A, Surita FG, Souza R, Rocha L, Guida JP, Pacagnella R, Tedesco R, Fernandes K, Martins-Costa S, Peret F, Feitosa F, Traina E, Cunha Filho E, Vettorazzi J, Haddad S, Andreucci C, Correa Junior M, Dias M, Oliveira LD, Melo Junior E, Luz M, Cecatti JG, Costa ML. Brazilian Black Women are at Higher Risk for COVID-19 Complications: An Analysis of REBRACO, a National Cohort. Rev Bras Ginecol Obstet 2023; 45:253-260. [PMID: 37339644 PMCID: PMC10281763 DOI: 10.1055/s-0043-1770133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/22/2023] Open
Abstract
OBJECTIVE To evaluate the impact of the race (Black versus non-Black) on maternal and perinatal outcomes of pregnant women with COVID-19 in Brazil. METHODS This is a subanalysis of REBRACO, a Brazilian multicenter cohort study designed to evaluate the impact of COVID-19 on pregnant women. From February 2020 until February 2021, 15 maternity hospitals in Brazil collected data on women with respiratory symptoms. We selected all women with a positive test for COVID-19; then, we divided them into two groups: Black and non-Black women. Finally, we compared, between groups, sociodemographic, maternal, and perinatal outcomes. We obtained the frequency of events in each group and compared them using X2 test; p-values < 0.05 were considered significant. We also estimated the odds ratio (OR) and confidence intervals (CI). RESULTS 729 symptomatic women were included in the study; of those, 285 were positive for COVID-19, 120 (42.1%) were Black, and 165 (57.9%) were non-Black. Black women had worse education (p = 0.037). The timing of access to the health system was similar between both groups, with 26.3% being included with seven or more days of symptoms. Severe acute respiratory syndrome (OR 2.22 CI 1.17-4.21), intensive care unit admission (OR 2.00 CI 1.07-3.74), and desaturation at admission (OR 3.72 CI 1.41-9.84) were more likely to occur among Black women. Maternal death was higher among Black women (7.8% vs. 2.6%, p = 0.048). Perinatal outcomes were similar between both groups. CONCLUSION Brazilian Black women were more likely to die due to the consequences of COVID-19.
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Affiliation(s)
| | | | - Renato Souza
- Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - Leila Rocha
- Universidade Estadual de Campinas, Campinas, SP, Brazil
| | - José Paulo Guida
- Universidade Estadual de Campinas, Campinas, SP, Brazil
- Sumaré State Hospital, Sumaré, SP, Brazil
| | | | | | | | | | | | | | - Evelyn Traina
- Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil
| | | | - Janete Vettorazzi
- Clinics Hospital of Porto Alegre, Porto Alegre, RS, Brazil
- Moinhos de Vento Hospital, Porto Alegre, RS, Brazil
| | - Samira Haddad
- Jorge Rossmann Regional Hospital - Sócrates Guanaes Institute, Itanhaém, SP, Brazil
| | | | | | - Marcos Dias
- Fernandes Figueira Institute, Rio de Janeiro, RJ, Brazil
| | - Leandro de Oliveira
- Botucatu Sao Paulo State University School of Medicine, Botucatu, SP, Brazil
| | | | - Marília Luz
- Santa Casa de Misericórdia of Pará, Belém, PA, Brazil
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Druyan B, Platner M, Jamieson DJ, Boulet SL. Severe Maternal Morbidity and Postpartum Readmission Through 1 Year. Obstet Gynecol 2023; 141:949-955. [PMID: 37103535 DOI: 10.1097/aog.0000000000005150] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 01/30/2023] [Indexed: 04/28/2023]
Abstract
OBJECTIVE To conduct a cohort study to estimate risk for readmission through 1 year postpartum and the most common readmission diagnoses for individuals with and without severe maternal morbidity (SMM) at delivery. METHODS Using national health care claims data from IBM MarketScan Commercial Research Databases (now known as Merative), we identified all delivery hospitalizations for continuously enrolled individuals 15-49 years of age that occurred between January 1, 2016, and December 31, 2018. Severe maternal morbidity at delivery was identified using diagnosis and procedure codes. Individuals were followed for 365 days after delivery discharge, and cumulative readmission rates were calculated for up to 42 days, up to 90 days, up to 180 days, and up to 365 days. We used multivariable generalized linear models to estimate adjusted relative risks (aRR), adjusted risk differences, and 95% CIs for the association between readmission and SMM at each of the timepoints. RESULTS The study population included 459,872 deliveries; 5,146 (1.1%) individuals had SMM during the delivery hospitalization, and 11,603 (2.5%) were readmitted within 365 days. The cumulative incidence of readmission was higher in individuals with SMM than those without at all timepoints (within 42 days: 3.5% vs 1.2%, aRR 1.44, 95% CI 1.23-1.68; within 90 days: 4.1% vs 1.4%, aRR 1.46, 95% CI 1.26-1.69); within 180 days: 5.0% vs 1.8%, aRR 1.48, 95% CI 1.30-1.69; within 365 days: 6.4% vs 2.5%, aRR 1.44, 95% CI 1.28-1.61). Sepsis and hypertensive disorders were the most common reason for readmission within 42 and 365 days for individuals with SMM (35.2% and 25.8%, respectively). CONCLUSION Severe maternal morbidity at delivery was associated with increased risk for readmission throughout the year after delivery, a finding that underscores the need for heightened awareness of risk for complications beyond the traditional 6-week postpartum period.
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Affiliation(s)
- Brian Druyan
- University of Miami Miller School of Medicine, Jackson Memorial Hospital, Miami, Florida; and the Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
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Phibbs CM, Kristensen-Cabrera A, Kozhimannil KB, Leonard SA, Lorch SA, Main EK, Schmitt SK, Phibbs CS. Racial/ethnic disparities in costs, length of stay, and severity of severe maternal morbidity. Am J Obstet Gynecol MFM 2023; 5:100917. [PMID: 36882126 PMCID: PMC10121928 DOI: 10.1016/j.ajogmf.2023.100917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/01/2023] [Accepted: 02/28/2023] [Indexed: 03/08/2023]
Abstract
BACKGROUND In contrast to other high-resource countries, the United States has experienced increases in the rates of severe maternal morbidity. In addition, the United States has pronounced racial and ethnic disparities in severe maternal morbidity, especially for non-Hispanic Black people, who have twice the rate as non-Hispanic White people. OBJECTIVE This study aimed to examine whether the racial and ethnic disparities in severe maternal morbidity extended beyond the rates of these complications to include disparities in maternal costs and lengths of stay, which could indicate differences in the case severity. STUDY DESIGN This study used California's linkage of birth certificates to inpatient maternal and infant discharge data for 2009 to 2011. Of the 1.5 million linked records, 250,000 were excluded because of incomplete data, for a final sample of 1,262,862. Cost-to-charge ratios were used to estimate costs from charges (including readmissions) after adjusting for inflation to December 2017. Mean diagnosis-related group-specific reimbursement was used to estimate physician payments. We used the Centers for Disease Control and Prevention definition of severe maternal morbidity, including readmissions up to 42 days after delivery. Adjusted Poisson regression models estimated the differential risk of severe maternal morbidity for each racial or ethnic group, compared with the non-Hispanic White group. Generalized linear models estimated the associations of race and ethnicity with costs and length of stay. RESULTS Asian or Pacific Islander, Non-Hispanic Black, Hispanic, and other race or ethnicity patients all had higher rates of severe maternal morbidity than non-Hispanic White patients. The largest disparity was between non-Hispanic White and non-Hispanic Black patients, with unadjusted overall rates of severe maternal morbidity of 1.34% and 2.62%, respectively (adjusted risk ratio, 1.61; P<.001). Among patients with severe maternal morbidity, the adjusted regression estimates showed that non-Hispanic Black patients had 23% (P<.001) higher costs (marginal effect of $5023) and 24% (P<.001) longer hospital stays (marginal effect of 1.4 days) than non-Hispanic White patients. These effects changed when cases, such as cases where a blood transfusion was the only indication of severe maternal morbidity, were excluded, with 29% higher costs (P<.001) and 15% longer length of stay (P<.001). For other racial and ethnic groups, the increases in costs and length of stay were smaller than those observed for non-Hispanic Black patients, and many were not significantly different from non-Hispanic White patients. Hispanic patients had higher rates of severe maternal morbidity than non-Hispanic White patients; however, Hispanic patients had significantly lower costs and length of stay than non-Hispanic White patients. CONCLUSION There were racial and ethnic differences in the costs and length of stay among patients with severe maternal morbidity across the groupings that we examined. The differences were especially large for non-Hispanic Black patients compared with non-Hispanic White patients. Non-Hispanic Black patients experienced twice the rate of severe maternal morbidity; in addition, the higher relative costs and longer lengths of stay for non-Hispanic Black patients with severe maternal morbidity support greater case severity in that population. These findings suggest that efforts to address racial and ethnic inequities in maternal health need to consider differences in case severity in addition to the differences in the rates of severe maternal morbidity and that these differences in case severity merit additional investigation.
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Affiliation(s)
| | - Alexandria Kristensen-Cabrera
- Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN (Ms Kristensen-Cabrera and Dr Kozhimannil)
| | - Katy B Kozhimannil
- Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN (Ms Kristensen-Cabrera and Dr Kozhimannil)
| | - Stephanie A Leonard
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA (Drs Leonard and Main); California Maternal Quality Care Collaborative, Stanford, CA (Drs Leonard and Main)
| | - Scott A Lorch
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA (Dr Lorch); Leonard Davis Institute of Health Economics, Wharton School, University of Pennsylvania, Philadelphia, PA (Dr Lorch)
| | - Elliott K Main
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA (Drs Leonard and Main); California Maternal Quality Care Collaborative, Stanford, CA (Drs Leonard and Main)
| | - Susan K Schmitt
- Health Economics Resource Center, Veterans Affairs Palo Alto Healthcare System, Menlo Park, CA (Drs Schmitt and Phibbs); Departments of Pediatrics and Health Policy, Stanford University School of Medicine, Stanford, CA (Drs Schmitt and Phibbs)
| | - Ciaran S Phibbs
- Health Economics Resource Center, Veterans Affairs Palo Alto Healthcare System, Menlo Park, CA (Drs Schmitt and Phibbs); Departments of Pediatrics and Health Policy, Stanford University School of Medicine, Stanford, CA (Drs Schmitt and Phibbs)
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Oakley LP, Li X, Tartof SY, Wilkes-Grundy M, Fassett MJ, Lawrence JM. Racial Disparities in Severe Maternal Morbidity in an Integrated Health Care System, Southern California, 2008-2017. Womens Health Issues 2023; 33:280-288. [PMID: 36740539 PMCID: PMC10213118 DOI: 10.1016/j.whi.2023.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 12/22/2022] [Accepted: 01/10/2023] [Indexed: 02/05/2023]
Abstract
OBJECTIVE The study's objectives were to examine rates of severe maternal morbidity (SMM) over a 10-year period and assess racial/ethnic disparities in SMM among insured women in a large, integrated health care system in Southern California. METHODS We included Kaiser Permanente Southern California (KPSC) health plan members who gave birth at ≥20 weeks' gestation in a KPSC-owned hospital during 2008-2017. An SMM case was defined as presence of one or more indicators of an SMM event during a birth hospitalization, identified using maternal electronic health records. Crude SMM rates/10,000 births were calculated by year and maternal race/ethnicity. Modified Poisson regression models were used to assess the association between race/ethnicity and SMM adjusted for other maternal demographics, pregnancy characteristics, and preexisting conditions. RESULTS We identified 5,915 SMM cases among 335,310 births. Crude SMM rates increased from 94.7 per 10,000 in 2008 to 192.6 in 2015 and 249.5 in 2017. Non-Hispanic Black (adjusted risk ratio [aRR] 1.52; 95% confidence interval [CI] 1.37-1.69), Asian/Pacific Islander (aRR 1.29, 95% CI 1.18-1.41), and Hispanic (aRR 1.18, 95% CI 1.10-1.27) women had greater likelihood of SMM than non-Hispanic White women. After further adjusting for preexisting health conditions, differences in SMM by race/ethnicity remained. CONCLUSIONS SMM rates increased during 2008-2017 and women of racial and ethnic minority groups, particularly non-Hispanic Black women, were more likely to experience an SMM event than non-Hispanic White women. Multilevel approaches to understanding structural and social factors that may be associated with racial and ethnic disparities in SMM are needed to develop and test effective interventions to reduce SMM.
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Affiliation(s)
- Lisa P Oakley
- Epidemic Intelligence Service, Division of Scientific Education and Professional Development, Centers for Disease Control and Prevention, Atlanta, Georgia; Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California.
| | - Xia Li
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Sara Y Tartof
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California
| | - Madalynne Wilkes-Grundy
- Department of Family Medicine, Kaiser Permanente West Los Angeles Medical Center, Los Angeles California
| | - Michael J Fassett
- Department of Obstetrics and Gynecology, Kaiser Permanente West Los Angeles Medical Center, Los Angeles, California
| | - Jean M Lawrence
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California
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Dantas-Silva A, Santiago SM, Surita FG. Racism as a Social Determinant of Health in Brazil in the COVID-19 Pandemic and Beyond. Rev Bras Ginecol Obstet 2023; 45:221-224. [PMID: 37339640 PMCID: PMC10281767 DOI: 10.1055/s-0043-1770135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/22/2023] Open
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Torti J, Klein C, Foster M, Shields L. A Systemwide Postpartum Inpatient Maternal Mental Health Education and Screening Program. Nurs Womens Health 2023; 27:179-189. [PMID: 37084760 DOI: 10.1016/j.nwh.2022.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 12/13/2022] [Accepted: 03/08/2023] [Indexed: 04/23/2023]
Abstract
OBJECTIVE To expand a hospital system's maternal mental health program to standardize screening for perinatal mood and anxiety disorders. DESIGN Quality improvement initiative using a continuous plan-do-study-act cycle. SETTING/LOCAL PROBLEM In a hospital system consisting of 66 maternity care centers across the United States, there was significant variation in maternal mental health screening, referral, and education practices. The COVID-19 pandemic and increasing rates of severe maternal morbidity further elevated system-level concern about the quality of maternal mental health care being provided. PARTICIPANTS Perinatal nurses. METHODS We used an "all-or-none" bundle methodology to measure adherence to a system standard for maternal mental health screening, referral, and education. INTERVENTIONS A toolkit was designed internally to support streamlined implementation and ensure standardization for screening, referral, and education. This comprehensive toolkit includes screening forms, a referral algorithm, staff education, patient education literature, and a community resource list template. Training on how to use the toolkit was provided to nurses, chaplains, and social workers. RESULTS The initial system bundle adherence rate was 76% (2017) in the first year of the program. The following year, the bundle adherence rate increased to 97% (2018). Despite the disruption caused by the COVID-19 pandemic, this mental health initiative has maintained an overall adherence rate of 92% (2020-2022). CONCLUSION This nurse-led quality improvement initiative has been successfully implemented across a geographically and demographically diverse hospital system. The initial and sustained high rates of adherence with the system standard for screening, referral, and education illustrate perinatal nurses' commitment to the delivery of high-quality maternal mental health care in the acute care setting.
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Thakkar A, Hameed AB, Makshood M, Gudenkauf B, Creanga AA, Malhamé I, Grandi SM, Thorne SA, D’Souza R, Sharma G. Assessment and Prediction of Cardiovascular Contributions to Severe Maternal Morbidity. JACC Adv 2023; 2:100275. [PMID: 37560021 PMCID: PMC10410605 DOI: 10.1016/j.jacadv.2023.100275] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/11/2023]
Abstract
Severe maternal morbidity (SMM) refers to any unexpected outcome directly related to pregnancy and childbirth that results in both short-term delivery complications and long-term consequences to a women's health. This affects about 60,000 women annually in the United States. Cardiovascular contributions to SMM including cardiac arrest, arrhythmia, and acute myocardial infarction are on the rise, probably driven by changing demographics of the pregnant population including more women of extreme maternal age and an increased prevalence of cardiometabolic and structural heart disease. The utilization of SMM prediction tools and risk scores specific to cardiovascular disease in pregnancy has helped with risk stratification. Furthermore, health system data monitoring and reporting to identify and assess etiologies of cardiovascular complications has led to improvement in outcomes and greater standardization of care for mothers with cardiovascular disease. Improving cardiovascular disease-related SMM relies on a multipronged approach comprised of patient-level identification of risk factors, individualized review of SMM cases, and validation of risk stratification tools and system-wide improvements in quality of care. In this article, we review the epidemiology and cardiac causes of SMM, we provide a framework of risk prediction clinical tools, and we highlight need for organization of care to improve outcomes.
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Affiliation(s)
- Aarti Thakkar
- Division of Cardiology, Department of Medicine, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Afshan B. Hameed
- Department of Obstetrics & Gynecology, Department of Medicine, University of California-Irvine, Irvine, California, USA
| | - Minhal Makshood
- Division of Cardiology, Department of Medicine, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Brent Gudenkauf
- Division of Cardiology, Department of Medicine, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Andreea A. Creanga
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Gynecology and Obstetrics, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Isabelle Malhamé
- Division of General Internal Medicine, Department of Medicine, McGill University Health Centre, Montreal, Quebec, Canada
- Center for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Sonia M. Grandi
- Child Health Evaluative Sciences Program, The Hospital for Sick Children, Toronto, Ontario, Canada
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Sara A. Thorne
- Division of Cardiology, Pregnancy & Heart Disease Program, Mount Sinai Hospital & University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Rohan D’Souza
- Departments of Obstetrics & Gynaecology and Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada
| | - Garima Sharma
- Division of Cardiology, Department of Medicine, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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La Rosa M, Emezienna N, Olson G. Pulmonary Embolism in Pregnancy. Clin Obstet Gynecol 2023; 66:231-6. [PMID: 36044631 DOI: 10.1097/GRF.0000000000000738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Pulmonary embolism during and after pregnancy remains a significant contributor to maternal morbidity and mortality. Symptoms that would be a clear indicator of a pulmonary embolus in the nonpregnant population can be masked by pregnancy and its routine pregnancy-related symptoms. To affect a reduction in this severe maternal mortality indicator, physicians need to maintain a high degree of suspicion coupled with expedient testing.
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Kaufman M, McConnell KJ, Carmichael SL, Rodriguez MI, Richardson D, Snowden JM. Postpartum Hospital Readmissions With and Without Severe Maternal Morbidity Within 1 Year of Birth, Oregon, 2012-2017. Am J Epidemiol 2023; 192:158-170. [PMID: 36269008 DOI: 10.1093/aje/kwac183] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 08/12/2022] [Accepted: 10/12/2022] [Indexed: 02/07/2023] Open
Abstract
Postpartum readmissions (PPRs) represent a critical marker of maternal morbidity after hospital childbirth. Most severe maternal morbidity (SMM) events result in a hospital admission, but most PPRs do not have evidence of SMM. Little is known about PPR and SMM beyond the first 6 weeks postpartum. We examined the associations of maternal demographic and clinical factors with PPR within 12 months postpartum. We categorized PPR as being with or without evidence of SMM to assess whether risk factors and timing differed. Using the Oregon All Payer All Claims database, we analyzed hospital births from 2012-2017. We used log-binomial regression to estimate associations between maternal factors and PPR. Our final analytical sample included 158,653 births. Overall, 2.6% (n = 4,141) of births involved at least 1 readmission within 12 months postpartum (808 (19.5% of PPRs) with SMM). SMM at delivery was the strongest risk factor for PPR with SMM (risk ratio (RR) = 5.55, 95% confidence interval (CI): 4.14, 7.44). PPR without SMM had numerous risk factors, including any mental health diagnosis (RR = 2.10, 95% CI: 1.91, 2.30), chronic hypertension (RR = 2.17, 95% CI: 1.85, 2.55), and prepregnancy diabetes (RR = 2.85, 95% CI: 2.47, 3.30), all which were on par with SMM at delivery (RR = 1.89, 95% CI: 1.49, 2.40).
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Brown Z, Messaoudi C, Silvia E, Bleau H, Meskill A, Flynn A, Abel-Bey AC, Ball TJ. Postpartum navigation decreases severe maternal morbidity most among Black women. Am J Obstet Gynecol 2023:S0002-9378(23)00004-2. [PMID: 36610531 DOI: 10.1016/j.ajog.2023.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 12/30/2022] [Accepted: 01/03/2023] [Indexed: 01/06/2023]
Abstract
BACKGROUND Postpartum care is crucial for addressing conditions associated with severe maternal morbidity and mortality. Examination of programs that affect these outcomes for women at high risk, including disparate populations, is needed. OBJECTIVE This study aimed to examine whether a postpartum navigation program decreases all-cause 30-day postpartum hospitalizations and hospitalizations because of severe maternal morbidity identified using the US Centers for Disease Control and Prevention guidelines. The effect of this program was explored across patient demographics, including race and ethnicity. STUDY DESIGN This was a retrospective cohort study that used health records of women who delivered at 3 large hospitals in the New York metropolitan area (Queens and Long Island) between April 2020 and November 2021 and who were at high risk of severe maternal morbidity. The incidence rates of 30-day postpartum all-cause hospitalization and hospitalization because of severe maternal morbidity were compared between women who were and were not enrolled in a novel postpartum transitional care management program. Navigation included standardized assessments, development of care plans, clinical management, and connection to clinical and social services that would extend beyond the postpartum period. Because the program prioritized enrolling women of the greatest risk, the risk-adjusted incidence was estimated using multivariate Poisson regression and stratified across patient demographics. RESULTS Patient health records of 5819 women were included for analysis. Of note, 5819 of 19,258 deliveries (30.2%) during the study period were identified as having a higher risk of severe maternal morbidity. This was consistent with the incidence of high-risk pregnancies for tertiary hospitals in the New York metropolitan area. The condition most identified for risk of severe maternal morbidity at the time of delivery was hypertension (3171/5819 [54.5%]). The adjusted incidence of all-cause rehospitalization was 20% lower in enrollees than in nonenrollees (incident rate ratio, 0.80; 95% confidence interval, 0.67-0.95). Rehospitalization was decreased the most among Black women (incident rate ratio, 0.57; 95% confidence interval, 0.42-0.80). The adjusted incidence of rehospitalization because of indicators of severe maternal morbidity was 56% lower in enrollees than in nonenrollees (incident rate ratio, 0.44; 95% confidence interval, 0.24-0.77). Furthermore, it decreased most among Black women (incident rate ratio, 0.23; 95% confidence interval, 0.07-0.73). CONCLUSION High-risk medical conditions at the time of delivery increased the risk of postpartum hospitalization, including hospitalizations because of severe maternal morbidity. A postpartum navigation program designed to identify and resolve clinical and social needs reduced postpartum hospitalizations and racial disparities with hospitalizations. Hospitals and healthcare systems should adopt this type of care model for women at high risk of severe maternal morbidity. Cost analyses are needed to evaluate the financial effect of postpartum navigation programs for women at high risk of severe maternal morbidity or mortality, which could influence reimbursement for these types of services. Further evidence and details of novel postpartum interventional models are needed for future studies.
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Affiliation(s)
- Zenobia Brown
- Northwell Health, Health Solutions Population Health Management, Manhasset, NY.
| | - Choukri Messaoudi
- Northwell Health, Health Solutions Population Health Management, Manhasset, NY
| | - Emily Silvia
- Northwell Health, Health Solutions Population Health Management, Manhasset, NY
| | - Hallie Bleau
- Northwell Health, Health Solutions Population Health Management, Manhasset, NY
| | - Ashley Meskill
- Northwell Health, Health Solutions Population Health Management, Manhasset, NY
| | - Anne Flynn
- Northwell Health, Health Solutions Population Health Management, Manhasset, NY
| | - Amparo C Abel-Bey
- Northwell Health, Health Solutions Population Health Management, Manhasset, NY
| | - Trever J Ball
- Northwell Health, Health Solutions Population Health Management, Manhasset, NY
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Burns A, DeAtley T, Short SE. The maternal health of American Indian and Alaska Native people: A scoping review. Soc Sci Med 2023; 317:115584. [PMID: 36521232 PMCID: PMC9875554 DOI: 10.1016/j.socscimed.2022.115584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 11/21/2022] [Accepted: 11/26/2022] [Indexed: 11/30/2022]
Abstract
Indigenous people in the United States experience disadvantage in multiple domains of health. Yet, their maternal health receives limited research attention. With a focus on empirical research findings, we conduct a scoping review to address two questions: 1) what does the literature tell us about the patterns and prevalence of maternal mortality and morbidity of American Indian and Alaska Native (AI/AN) people? and 2) how do existing studies explain these patterns? A search of CINAHL, Embase and Medline yielded 4757 English-language articles, with 66 eligible for close review. Of these, few focused specifically on AI/AN people's maternal health. AI/AN people experience higher levels of maternal mortality and morbidity than non-Hispanic White people, with estimates that vary substantially across samples and geography. Explanations for the maternal health of AI/AN people focused on individual factors such as poverty, cultural beliefs, and access to healthcare (e.g. lack of insurance). Studies rarely addressed the varied historical and structural contexts of AI/AN tribal nations, such as harms associated with colonization and economic marginalization. Research for and by Indigenous communities and nations is needed to redress the effective erasure of AI/AN people's maternal health experiences and to advance solutions that will promote their health and well-being.
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Affiliation(s)
- Ailish Burns
- Department of Sociology, Brown University, 108 George St Box 1916, Providence RI, 02912, USA; Population Studies and Training Center, Brown University, 68 Waterman St Box 1836, Providence RI, 02912, USA.
| | - Teresa DeAtley
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 3535 Market Street, Philadelphia, PA, 19104, USA
| | - Susan E Short
- Department of Sociology, Brown University, 108 George St Box 1916, Providence RI, 02912, USA; Population Studies and Training Center, Brown University, 68 Waterman St Box 1836, Providence RI, 02912, USA
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Berger BO, Horton LG, Gemmill A, Strobino DM. Postpartum Care Visit Attendance Within 60 Days of Delivery Among Women With and Without Opioid Use During Pregnancy: An Analysis of Commercial Insurance Data. Womens Health Issues 2023; 33:67-76. [PMID: 36117076 DOI: 10.1016/j.whi.2022.08.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 07/07/2022] [Accepted: 08/15/2022] [Indexed: 02/01/2023]
Abstract
BACKGROUND Postpartum care (PPC) is a key component of maternal health, particularly for people who use opioids during pregnancy. Little is known about the prevalence and correlates of PPC visit attendance among those using opioids compared with nonusers in a privately insured population. METHODS A retrospective cohort study was conducted using nationwide private insurance claims between 2011 and 2017 (N = 1,291,352 women) comparing the following opioid use groups: nonusers, nonchronic prescription users, chronic prescription users, and women with opioid use disorder (OUD). Multivariable logistic and linear regressions evaluated the odds of PPC attendance and the mean time to an initial PPC visit for each user group. Stratified models identified factors associated with PPC attendance by opioid use type. RESULTS Overall, 45% of the cohort attended a PPC visit and nearly 10% had any opioid use during pregnancy. More women in the three opioid use categories attended PPC than nonusers (50-56% vs. 45%). Opioid use regardless of type was associated with higher odds and earlier PPC visitation than women with no opioid use; nonchronic and chronic users had 17% and 40% greater odds of PPC than nonusers (adjusted odds ratio [aOR]: 1.17; 95% confidence interval [CI]: 1.16-1.19; aOR: 1.40, 95% CI: 1.34-1.46), whereas women with OUD had 7% higher odds (aOR: 1.07; 95% CI: 1.00-1.13). Antenatal care and psychiatric, hypertensive, and pain conditions were most strongly associated with higher odds of attending PPC; older maternal age was negatively associated with PPC. Stratified analysis showed opioid correlates varied similarly across user groups. CONCLUSIONS PPC use was generally low in this study cohort of privately insured women. Women who used opioids and those with chronic conditions had greater odds of attending PPC. Improved efforts are needed to engage people in PPC, as well as service integration and coordination for people who use opioids during pregnancy.
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Affiliation(s)
- Blair O Berger
- Johns Hopkins Bloomberg School of Public Health, Department of Population, Family and Reproductive Health, Baltimore, Maryland.
| | - Leah G Horton
- Johns Hopkins Bloomberg School of Public Health, Department of Population, Family and Reproductive Health, Baltimore, Maryland
| | - Alison Gemmill
- Johns Hopkins Bloomberg School of Public Health, Department of Population, Family and Reproductive Health, Baltimore, Maryland
| | - Donna M Strobino
- Johns Hopkins Bloomberg School of Public Health, Department of Population, Family and Reproductive Health, Baltimore, Maryland
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Martin J, Croteau A, Velasco-Gonzalez C, Gastanaduy M, Huttner M, Saeed R, Niazi S, Chisholm S, Mussarat N, Morgan J, Williams FBW, Biggio J. Maternal early warning criteria predict postpartum severe maternal morbidity and mortality after delivery hospitalization discharge: a case-control study. Am J Obstet Gynecol MFM 2022; 4:100706. [PMID: 35931369 DOI: 10.1016/j.ajogmf.2022.100706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 07/13/2022] [Accepted: 07/28/2022] [Indexed: 10/31/2022]
Abstract
BACKGROUND The predictors of postpartum severe maternal morbidity and mortality have not been well-described using patient-level data. OBJECTIVE This study aimed to evaluate the application of maternal early warning criteria in the postpartum period and generate a preliminary predictive model for severe maternal morbidity and mortality occurring after delivery hospitalization discharge until 42 days postpartum. STUDY DESIGN A retrospective case-control study was conducted from January 2013 to September 2020. Cases were identified from electronic medical records using the International Classification of Diseases, Tenth Revision codes for Centers for Disease Control and Prevention-defined severe maternal morbidity. Patients meeting the criteria for severe maternal morbidity and mortality from delivery hospitalization discharge until 42 days postpartum were matched for delivery hospital and year with the controls in an approximate 1:2 fashion. The objective was to identify the demographic and clinical risk factors during the antepartum through postpartum periods for postpartum severe maternal morbidity and mortality. Multivariable logistic regression was performed to estimate the risks, and a receiver operating characteristic curve was derived to evaluate the model. RESULTS Ninety cases of postpartum severe maternal morbidity and mortality that occurred following delivery hospitalization discharge were identified. These were matched with 175 controls. Women with postpartum severe maternal morbidity and mortality had more postpartum assessments (mean: 1.7 vs 1.4, P=.005) and a higher frequency of maternal early warning criteria (58% [52/90] vs 2% [3/175]; P<.001) preceding the diagnosis of severe maternal morbidity and mortality than controls. Black women had higher odds of postpartum severe maternal morbidity and mortality than White women (odds ratio, 1.93; 95% confidence interval, 1.14-3.27). Women with maternal early warning criteria during postpartum assessments were more likely to experience subsequent postpartum severe maternal morbidity and mortality (odds ratio, 67.2; 95% confidence interval, 21.3-211.6) than women with no maternal early warning criteria. Although the point estimate was different in Black women (odds ratio, 161.8; 95% confidence interval, 8.9 to >999) than White women (odds ratio, 47.9; 95% confidence interval, 13.8-167.1), the effect modification between the maternal early warning criteria and race was not statistically significant (P=.93). In a multivariable model, race, body mass index, cesarean delivery, and maternal early warning criteria at postpartum assessments were associated with subsequent severe maternal morbidity and mortality, with an area under the curve of 0.905 (95% confidence interval, 0.864-0.946). CONCLUSION Maternal early warning criteria are associated with increased odds of postpartum severe maternal morbidity and mortality. A straightforward model that includes race, body mass index, cesarean delivery, and presence of maternal early warning criteria appears to be a promising tool to identify those at risk for postpartum severe maternal morbidity and mortality following delivery hospitalization discharge. This is an important first step in improving the ability to recognize and respond to conditions preceding postpartum severe maternal morbidity. These findings should be validated in a prospective cohort.
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Affiliation(s)
- Jane Martin
- Section of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Women's Service Line, Ochsner Health, New Orleans, LA (Drs Martin, Mussarat, Morgan, Williams, and Biggio); University of Queensland, Ochsner Clinical School, New Orleans, LA (Drs Martin and Croteau, Mses Huttner, Saeed, Niazi, and Chisholm, and Drs Williams and Biggio).
| | - Angelica Croteau
- University of Queensland, Ochsner Clinical School, New Orleans, LA (Drs Martin and Croteau, Mses Huttner, Saeed, Niazi, and Chisholm, and Drs Williams and Biggio)
| | - Cruz Velasco-Gonzalez
- Ochsner Center for Outcomes and Health Services Research, New Orleans, LA (Drs Velasco-Gonzalez and Gastanaduy)
| | - Mariella Gastanaduy
- Ochsner Center for Outcomes and Health Services Research, New Orleans, LA (Drs Velasco-Gonzalez and Gastanaduy)
| | - Madelyn Huttner
- University of Queensland, Ochsner Clinical School, New Orleans, LA (Drs Martin and Croteau, Mses Huttner, Saeed, Niazi, and Chisholm, and Drs Williams and Biggio)
| | - Rula Saeed
- University of Queensland, Ochsner Clinical School, New Orleans, LA (Drs Martin and Croteau, Mses Huttner, Saeed, Niazi, and Chisholm, and Drs Williams and Biggio)
| | - Sahar Niazi
- University of Queensland, Ochsner Clinical School, New Orleans, LA (Drs Martin and Croteau, Mses Huttner, Saeed, Niazi, and Chisholm, and Drs Williams and Biggio)
| | - Sarah Chisholm
- University of Queensland, Ochsner Clinical School, New Orleans, LA (Drs Martin and Croteau, Mses Huttner, Saeed, Niazi, and Chisholm, and Drs Williams and Biggio)
| | - Naiha Mussarat
- Section of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Women's Service Line, Ochsner Health, New Orleans, LA (Drs Martin, Mussarat, Morgan, Williams, and Biggio)
| | - John Morgan
- Section of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Women's Service Line, Ochsner Health, New Orleans, LA (Drs Martin, Mussarat, Morgan, Williams, and Biggio)
| | - F B Will Williams
- Section of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Women's Service Line, Ochsner Health, New Orleans, LA (Drs Martin, Mussarat, Morgan, Williams, and Biggio); University of Queensland, Ochsner Clinical School, New Orleans, LA (Drs Martin and Croteau, Mses Huttner, Saeed, Niazi, and Chisholm, and Drs Williams and Biggio)
| | - Joseph Biggio
- Section of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Women's Service Line, Ochsner Health, New Orleans, LA (Drs Martin, Mussarat, Morgan, Williams, and Biggio); University of Queensland, Ochsner Clinical School, New Orleans, LA (Drs Martin and Croteau, Mses Huttner, Saeed, Niazi, and Chisholm, and Drs Williams and Biggio)
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Tipre M, Bolaji B, Blanchard C, Harrelson A, Szychowski J, Sinkey R, Julian Z, Tita A, Baskin ML. Relationship Between Neighborhood Socioeconomic Disadvantage and Severe Maternal Morbidity and Maternal Mortality. Ethn Dis 2022; 32:293-304. [PMID: 36388861 PMCID: PMC9590600 DOI: 10.18865/ed.32.4.293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Background Rates of severe maternal morbidity and maternal mortality (SMM/MM) in the United States are rising. Disparities in SMM/MM persist by race, ethnicity and geography, and could partially be attributed to social determinants of health. Purpose Utilizing data from the largest, statewide referral hospital in Alabama, we investigated the relationship between residence in disadvantaged neighborhoods and SMM/MM. Methods Data on all pregnancies between 2010 and 2020 were included; SMM/MM cases were identified using CDC definitions. Area deprivation index (ADI) available at the census-block group was geographically linked to individual records and categorized using quintile cutoffs; higher ADI score indicated higher socioeconomic disadvantage. Generalized estimating equation models were used to adjust for spatial autocorrelation and ORs were computed to evaluate the relationship between ADI and SMM/MM, adjusted for covariates including age, race, insurance, residence in medically underserved areas/population (MUAP), and urban/rural residence. Results Overall, 32,909 live-birth deliveries were identified, with a prevalence of 9.8% deliveries with SMM/MM with blood transfusion and 5.3% without blood transfusion, respectively. Increased levels of ADI were associated with increased odds of SMM/MM. Compared to women in the lowest quintile, the adjusted OR for SMM/MM among women in highest quintile was 1.78 (95%CI, 1.22-2.59, P=.0027); increasing age, non-Hispanic Black, government insurance and residence in MUAP were also significantly associated with increased odds of SMM/MM. Conclusion Our results suggest that residence within disadvantaged neighborhoods may contribute to SMM/MM even after adjusting for patient-level factors. Measures such as ADI can help identify the most vulnerable populations and provide points to intervene.
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Affiliation(s)
- Meghan Tipre
- Department of Medicine, Division of Preventive Medicine, University of Alabama at Birmingham, AL, Address correspondence to Meghan Tipre, DrPH MSPH; Department of Medicine, University of Alabama at Birmingham;
| | - Bolanle Bolaji
- Department of Medicine, Division of Preventive Medicine, University of Alabama at Birmingham, AL
| | - Christina Blanchard
- Center for Women’s Reproductive Health, University of Alabama at Birmingham, AL
| | - Alex Harrelson
- Department of Obstetrics & Gynecology, Division of Maternal-Fetal Medicine, University of Alabama at Birmingham, AL
| | - Jeff Szychowski
- Center for Women’s Reproductive Health, University of Alabama at Birmingham, AL,Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, AL
| | - Rachel Sinkey
- Center for Women’s Reproductive Health, University of Alabama at Birmingham, AL,Department of Obstetrics & Gynecology, Division of Maternal-Fetal Medicine, University of Alabama at Birmingham, AL
| | - Zoe Julian
- Center for Women’s Reproductive Health, University of Alabama at Birmingham, AL
| | - Alan Tita
- Center for Women’s Reproductive Health, University of Alabama at Birmingham, AL,Department of Obstetrics & Gynecology, Division of Maternal-Fetal Medicine, University of Alabama at Birmingham, AL
| | - Monica L. Baskin
- Department of Medicine, Division of Preventive Medicine, University of Alabama at Birmingham, AL
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Hung P, Liu J, Norregaard C, Shih Y, Liang C, Zhang J, Olatosi B, Campbell BA, Li X. Analysis of Residential Segregation and Racial and Ethnic Disparities in Severe Maternal Morbidity Before and During the COVID-19 Pandemic. JAMA Netw Open 2022; 5:e2237711. [PMID: 36264572 PMCID: PMC9585430 DOI: 10.1001/jamanetworkopen.2022.37711] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
IMPORTANCE Persistent racial and ethnic disparities in severe maternal morbidity (SMM) in the US remain a public health concern. Structural racism leaves women of color in a disadvantaged situation especially during COVID-19, leading to disproportionate pandemic afflictions among racial and ethnic minority women. OBJECTIVE To examine racial and ethnic disparities in SMM rates before and during the COVID-19 pandemic and whether the disparities varied with level of Black residential segregation. DESIGN, SETTING, AND PARTICIPANTS A statewide population-based retrospective cohort study used birth certificates linked to all-payer childbirth claims data in South Carolina. Participants included women who gave birth between January 2018 and June 2021. Data were analyzed from December 2021 to February 2022. EXPOSURES Exposures were (1) period when women gave birth, either before the pandemic (January 2018 to February 2020) or during the pandemic (March 2020 to June 2021) and (2) Black-White residential segregation (isolation index), categorizing US Census tracts in a county as low (<40%), medium (40%-59%), and high (≥60%). MAIN OUTCOMES AND MEASURES SMM was identified using International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes developed by the US Centers for Disease Control and Prevention. Multilevel logistic regressions with an interrupted approach were used, adjusting for maternal-level and facility-level factors, accounting for residential county-level random effects. RESULTS Of 166 791 women, 95 098 (57.0%) lived in low-segregated counties (mean [SD] age, 28.1 [5.7] years; 5126 [5.4%] Hispanic; 20 523 [21.6%] non-Hispanic Black; 62 690 [65.9%] White), and 23 521 (14.1%) women (mean [SD] age, 28.1 [5.8] years; 782 [3.3%] Hispanic; 12 880 [54.8%] non-Hispanic Black; 7988 [34.0%] White) lived in high-segregated areas. Prepandemic SMM rates were decreasing, followed by monthly increasing trends after March 2020. On average, living in high-segregated communities was associated with higher odds of SMM (adjusted odds ratio [aOR], 1.61; 95% CI, 1.06-2.34). Black women regardless of residential segregation had higher odds of SMM than White women (aOR, 1.47; 95% CI, 1.11-1.96 for low-segregation; 2.12; 95% CI, 1.38-3.26 for high-segregation). Hispanic women living in low-segregated communities had lower odds of SMM (aOR, 0.48; 95% CI, 0.25-0.90) but those living in high-segregated communities had nearly twice the odds of SMM (aOR, 1.91; 95% CI, 1.07-4.17) as their White counterparts. CONCLUSIONS AND RELEVANCE Living in high-segregated Black communities in South Carolina was associated with racial and ethnic SMM disparities. During the COVID-19 pandemic, Black vs White disparities persisted with no signs of widening gaps, whereas Hispanic vs White disparities were exacerbated. Policy reforms on reducing residential segregation or combating the corresponding structural racism are warranted to help improve maternal health.
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Affiliation(s)
- Peiyin Hung
- Department of Health Services Policy and Management, University of South Carolina Arnold School of Public Health, Columbia
- South Carolina SmartState Center for Healthcare Quality, University of South Carolina Arnold School of Public Health, Columbia
| | - Jihong Liu
- Department of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia
| | - Chelsea Norregaard
- Department of Health Services Policy and Management, University of South Carolina Arnold School of Public Health, Columbia
| | - Yiwen Shih
- Department of Health Services Policy and Management, University of South Carolina Arnold School of Public Health, Columbia
| | - Chen Liang
- Department of Health Services Policy and Management, University of South Carolina Arnold School of Public Health, Columbia
- South Carolina SmartState Center for Healthcare Quality, University of South Carolina Arnold School of Public Health, Columbia
| | - Jiajia Zhang
- South Carolina SmartState Center for Healthcare Quality, University of South Carolina Arnold School of Public Health, Columbia
- Department of Epidemiology and Biostatistics, University of South Carolina Arnold School of Public Health, Columbia
| | - Bankole Olatosi
- Department of Health Services Policy and Management, University of South Carolina Arnold School of Public Health, Columbia
- South Carolina SmartState Center for Healthcare Quality, University of South Carolina Arnold School of Public Health, Columbia
| | - Berry A. Campbell
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of South Carolina School of Medicine, Columbia
| | - Xiaoming Li
- South Carolina SmartState Center for Healthcare Quality, University of South Carolina Arnold School of Public Health, Columbia
- Department of Health Promotion Education and Behavior, University of South Carolina Arnold School of Public Health, Columbia
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Ford ND, Robbins CL, Hayes DK, Ko JY, Loustalot F. Prevalence, Treatment, and Control of Hypertension Among US Women of Reproductive Age by Race/Hispanic Origin. Am J Hypertens 2022; 35:723-730. [PMID: 35511899 PMCID: PMC10123529 DOI: 10.1093/ajh/hpac053] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 04/07/2022] [Accepted: 04/26/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND To explore the prevalence, pharmacologic treatment, and control of hypertension among US nonpregnant women of reproductive age by race/Hispanic origin to identify potential gaps in care. METHODS We pooled data from the 2011 to March 2020 (prepandemic) National Health and Nutrition Examination Survey cycles. Our analytic sample included 4,590 nonpregnant women aged 20-44 years who had at least 1 examiner-measured blood pressure (BP) value. We estimated prevalences and 95% confidence intervals (CIs) of hypertension, pharmacologic treatment, and control based on the 2003 Joint Committee on High Blood Pressure (JNC 7) and the 2017 American College of Cardiology and the American Heart Association (ACC/AHA) guidelines. We evaluated differences by race/Hispanic origin using Rao-Scott chi-square tests. RESULTS Applying ACC/AHA guidelines, hypertension prevalence ranged from 14.0% (95% CI: 12.0, 15.9) among Hispanic women to 30.9% (95% CI: 27.8, 34.0) among non-Hispanic Black women. Among women with hypertension, non-Hispanic Black women had the highest eligibility for pharmacological treatment (65.5%, 95% CI: 60.4, 70.5); current use was highest among White women (61.8%, 95% CI: 53.8, 69.9). BP control ranged from 5.2% (95% CI: 1.1, 9.3) among women of another or multiple non-Hispanic races to 18.6% (95% CI: 12.1, 25.0) among Hispanic women. CONCLUSIONS These findings highlight the importance of monitoring hypertension, pharmacologic treatment, and control by race/Hispanic origin and addressing barriers to equitable hypertension care among women of reproductive age.
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Affiliation(s)
- Nicole D Ford
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Cheryl L Robbins
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Donald K Hayes
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jean Y Ko
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.,U.S. Public Health Service Commissioned Corps, Atlanta, Georgia, USA
| | - Fleetwood Loustalot
- Division for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.,U.S. Public Health Service Commissioned Corps, Atlanta, Georgia, USA
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Ke JXC, Vidler M, Dol J, Carvalho B, Blake LEA, George RB, Bone J, Seligman KM, Coombs M, Chau A, Saville L, Gibbs RS, Sultan P. Incidence, prevalence, and timing of postpartum complications and mortality in Canada and the United States: a systematic review and meta-analysis protocol. JBI Evid Synth 2022; 20:2344-2353. [DOI: 10.11124/jbies-21-00437] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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Stanhope KK, Worrell N, Jamieson DJ, Geary FH, Boulet SL. Double, Triple, and Quadruple Jeopardy: Entering Pregnancy With Two or More Multimorbid Diagnoses and Increased Risk of Severe Maternal Morbidity and Postpartum Readmission. Womens Health Issues 2022; 32:607-614. [PMID: 35835642 DOI: 10.1016/j.whi.2022.06.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 05/30/2022] [Accepted: 06/10/2022] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Multimorbidity, the presence of two or more chronic disease diagnoses, is associated with an increased risk of mortality and high health care costs in the general population and older adults. However, little evidence is available about the prevalence and impact of multimorbidity in obstetric populations. The goal of this analysis was to estimate the association between multimorbidity and severe maternal morbidity (SMM) and 90-day postpartum readmission in an obstetric cohort in Atlanta, Georgia. STUDY DESIGN We conducted a retrospective cohort study of livebirths and stillbirths at Grady Memorial Hospital, from October 2015 to April 2021. To determine preexisting chronic conditions, we linked information on births to inpatient diagnoses within the prior year. Multimorbidity was defined as the presence of two or more chronic disease diagnoses at birth or within the prior year. We conducted multivariable log binomial regression to estimate risk ratios and 95% confidence intervals for the crude and adjusted (for age, race/ethnicity, parity, and insurance) association between multimorbidity (two or more chronic conditions vs. zero or one) and SMM (at or within 42 days after birth) or 90-day postpartum readmission for any reason. RESULTS Of 14,225 included births, 10.1% were to patients with multimorbidity. Overall, SMM complicated 7.5% of births, and the 90-day readmission rate was 2.4%. Both SMM and readmission were more common among women with multimorbidity (SMM, 18.6% among women with multimorbidity compared with 6.3% without; 90-day readmission, 5.4% compared with 2.1%). Adjusting for potential confounders, multimorbidity was associated with increased risk of SMM (adjusted risk ratio, 2.9; 95% confidence interval, 2.5-3.0) and readmission (adjusted risk ratio, 2.2; 95% confidence interval, 1.7-2.9). CONCLUSIONS Individuals entering pregnancy with two or more chronic diseases were at an increased risk of SMM and postpartum readmission compared with individuals with one or zero chronic disease diagnoses.
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Affiliation(s)
- Kaitlyn K Stanhope
- Emory University School of Medicine, Department of Gynecology and Obstetrics, Atlanta, Georgia.
| | | | - Denise J Jamieson
- Emory University School of Medicine, Department of Gynecology and Obstetrics, Atlanta, Georgia
| | - Franklyn H Geary
- Morehouse School of Medicine, Department of Obstetrics and Gynecology, Atlanta, Georgia
| | - Sheree L Boulet
- Emory University School of Medicine, Department of Gynecology and Obstetrics, Atlanta, Georgia
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Abstract
IMPORTANCE Surveillance of severe maternal morbidity (SMM) is critical for monitoring maternal health and evaluating clinical quality improvement efforts. OBJECTIVE To evaluate national and state trends in SMM rates from 2012 to 2019 and potential disruptions associated with the transition to International Classification of Diseases, 10th Revision, Clinical Modification and Procedure Coding System (ICD-10-CM/PCS) in October 2015. DESIGN, SETTING, AND PARTICIPANTS This repeated cross-sectional analysis examined delivery hospitalizations from 2012 through 2019 in the Healthcare Cost and Utilization Project's National Inpatient Sample and State Inpatient Databases, an all-payer compendium of hospital discharge records from community, nonrehabilitation hospitals. Trends were evaluated using segmented linear binomial regression models that allowed for discontinuities across the ICD-10-CM/PCS transition. Analyses were completed from April 2021 through March 2022. EXPOSURES Time, ICD-10-CM/PCS coding system, and state. MAIN OUTCOMES AND MEASURES SMM rates, excluding blood transfusion, per 10 000 delivery hospitalizations, overall and by indicator. RESULTS From 2012 to 2019, there were 5 964 315 delivery hospitalizations in the national sample representing a weighted total of 29.8 million deliveries with a mean (SD) maternal age of 28.6 (5.9) years. SMM rates increased from 69.5 per 10 000 in 2012 to 79.7 per 10 000 in 2019 (rate difference [RD], 10.2; 95% CI, 5.8 to 14.6) without a significant change across the ICD-10-CM/PCS transition (RD, -3.2; 95% CI, -6.9 to 0.6). Of 20 SMM indicators, rates for 10 indicators significantly increased while 3 significantly decreased; 5 of these changes were associated with ICD-10-CM/PCS transition. Acute kidney failure had the largest increase, from 6.4 to 15.3 per 10 000 delivery hospitalizations (RD, 8.9; 95% CI, 7.5 to 10.3) with no change associated with ICD transition (RD, -0.1; 95% CI, -1.2 to 1.1). Disseminated intravascular coagulation had the largest decrease from 31.3 to 21.2 per 10 000 (RD, 10.2; 95% CI, -12.8 to -7.5), with a significant drop associated with ICD transition (RD, -7.9; 95% CI, -10.2 to -5.6). State SMM rates significantly decreased for 1 state and significantly increased for 21 states from 2012 to 2019 and associations with ICD transition varied. CONCLUSIONS AND RELEVANCE In this cross-sectional study, overall US SMM rates increased from 2012 to 2019, which was not associated with the ICD-10-CM/PCS transition. However, data for certain indicators and states may not be comparable across coding systems; efforts are needed to understand SMM increases and state variation.
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Affiliation(s)
- Ashley H. Hirai
- Maternal and Child Health Bureau, Health Resources and Services Administration, US Department of Health and Human Services, Rockville, Maryland
| | - Pamela L. Owens
- Center for Financing, Access and Cost Trends, Agency for Healthcare Research and Quality, US Department of Health and Human Services, Rockville, Maryland
| | - Lawrence D. Reid
- Center for Financing, Access and Cost Trends, Agency for Healthcare Research and Quality, US Department of Health and Human Services, Rockville, Maryland
| | - Catherine J. Vladutiu
- Maternal and Child Health Bureau, Health Resources and Services Administration, US Department of Health and Human Services, Rockville, Maryland
| | - Elliott K. Main
- California Maternal Quality Care Collaborative, Stanford University, Palo Alto, California
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Admon LK, Ford ND, Ko JY, Ferre C, Kroelinger CD, Kozhimannil KB, Kuklina EV. Trends and Distribution of In-Hospital Mortality Among Pregnant and Postpartum Individuals by Pregnancy Period. JAMA Netw Open 2022; 5:e2224614. [PMID: 35904786 PMCID: PMC9338405 DOI: 10.1001/jamanetworkopen.2022.24614] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
This cross-sectional study investigates trends in death rates and proportion of deaths by pregnancy period among pregnant and postpartum individuals from 1994 to 2019.
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Affiliation(s)
- Lindsay K. Admon
- Department of Obstetrics and Gynecology and Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
| | - Nicole D. Ford
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jean Y. Ko
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Cynthia Ferre
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Charlan D. Kroelinger
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Katy B. Kozhimannil
- Department of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis
| | - Elena V. Kuklina
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
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Interrante JD, Tuttle MS, Admon LK, Kozhimannil KB. Severe Maternal Morbidity and Mortality Risk at the Intersection of Rurality, Race and Ethnicity, and Medicaid. Womens Health Issues 2022; 32:540-549. [PMID: 35760662 DOI: 10.1016/j.whi.2022.05.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 05/19/2022] [Accepted: 05/31/2022] [Indexed: 11/24/2022]
Abstract
OBJECTIVE We examined differences in rates of severe maternal morbidity and mortality (SMMM) among Medicaid-funded compared with privately insured hospital births through specific additive and intersectional risk by rural or urban geography, race and ethnicity, and clinical factors. METHODS We used maternal discharge records from childbirth hospitalizations in the Health care Cost and Utilization Project's National Inpatient Sample from 2007 to 2015. We calculated predicted probabilities using weighted multivariable logistic regressions to estimate adjusted rates of SMMM, examining differences in rates by payer, rurality, race and ethnicity, and clinical factors. To assess the presence and extent of additive risk by payer, with other risk factors, on rates of SMMM, we estimated the proportion of the combined effect that was due to the interaction. RESULTS In this analysis of 6,357,796 hospitalizations for childbirth, 2,932,234 were Medicaid funded and 3,425,562 were privately insured. Controlling for sociodemographic and clinical factors, the highest rate of SMMM (224.9 per 10,000 births) occurred among rural Indigenous Medicaid-funded births. Medicaid-funded births among Black rural and urban residents, and among Hispanic urban residents, also experienced elevated rates and significant additive interaction. Thirty-two percent (Bonferroni-adjusted 95% confidence interval, 19%-45%) of SMMM cases among patients with chronic heart disease were due to payer interaction, and 19% (Bonferroni-adjusted 95% confidence interval, 17%-22%) among those with cesarean birth were due to the interaction. CONCLUSIONS Heightened rates of SMMM among Medicaid-funded births indicate an opportunity for tailored state and federal policy responses to address the particular maternal health challenges faced by Medicaid beneficiaries, including Black, Indigenous, and rural residents.
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Affiliation(s)
- Julia D Interrante
- University of Minnesota Rural Health Research Center, Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, Minnesota.
| | - Mariana S Tuttle
- University of Minnesota Rural Health Research Center, Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, Minnesota
| | - Lindsay K Admon
- Department of Obstetrics and Gynecology and the Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan
| | - Katy B Kozhimannil
- University of Minnesota Rural Health Research Center, Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, Minnesota
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Liu J, Hung P, Liang C, Zhang J, Qiao S, Campbell BA, Olatosi B, Torres ME, Hikmet N, Li X. Multilevel determinants of racial/ethnic disparities in severe maternal morbidity and mortality in the context of the COVID-19 pandemic in the USA: protocol for a concurrent triangulation, mixed-methods study. BMJ Open 2022; 12:e062294. [PMID: 35688597 PMCID: PMC9189547 DOI: 10.1136/bmjopen-2022-062294] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 05/13/2022] [Indexed: 01/05/2023] Open
Abstract
INTRODUCTION The COVID-19 pandemic has affected communities of colour the hardest. Non-Hispanic black and Hispanic pregnant women appear to have disproportionate SARS-CoV-2 infection and death rates. METHODS AND ANALYSIS We will use the socioecological framework and employ a concurrent triangulation, mixed-methods study design to achieve three specific aims: (1) examine the impacts of the COVID-19 pandemic on racial/ethnic disparities in severe maternal morbidity and mortality (SMMM); (2) explore how social contexts (eg, racial/ethnic residential segregation) have contributed to the widening of racial/ethnic disparities in SMMM during the pandemic and identify distinct mediating pathways through maternity care and mental health; and (3) determine the role of social contextual factors on racial/ethnic disparities in pregnancy-related morbidities using machine learning algorithms. We will leverage an existing South Carolina COVID-19 Cohort by creating a pregnancy cohort that links COVID-19 testing data, electronic health records (EHRs), vital records data, healthcare utilisation data and billing data for all births in South Carolina (SC) between 2018 and 2021 (>200 000 births). We will also conduct similar analyses using EHR data from the National COVID-19 Cohort Collaborative including >270 000 women who had a childbirth between 2018 and 2021 in the USA. We will use a convergent parallel design which includes a quantitative analysis of data from the 2018-2021 SC Pregnancy Risk Assessment and Monitoring System (unweighted n>2000) and in-depth interviews of 40 postpartum women and 10 maternal care providers to identify distinct mediating pathways. ETHICS AND DISSEMINATION The study was approved by institutional review boards at the University of SC (Pro00115169) and the SC Department of Health and Environmental Control (DHEC IRB.21-030). Informed consent will be provided by the participants in the in-depth interviews. Study findings will be disseminated with key stakeholders including patients, presented at academic conferences and published in peer-reviewed journals.
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Affiliation(s)
- Jihong Liu
- Department of Epidemiology & Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA
| | - Peiyin Hung
- Department of Health Services Policy & Management, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA
| | - Chen Liang
- Department of Health Services Policy & Management, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA
| | - Jiajia Zhang
- Department of Epidemiology & Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA
| | - Shan Qiao
- Department of Health Promotion, Education, & Behavior, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA
| | - Berry A Campbell
- Department of Health Services Policy & Management, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA
- Department of Obstetrics and Gynecology, University of South Carolina School of Medicine, Columbia, South Carolina, USA
| | - Bankole Olatosi
- Department of Health Services Policy & Management, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA
| | - Myriam E Torres
- Department of Epidemiology & Biostatistics, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA
| | - Neset Hikmet
- Department of Integrated Information Technology, University of South Carolina College of Engineering and Computing, Columbia, South Carolina, USA
| | - Xiaoming Li
- Department of Health Promotion, Education, & Behavior, University of South Carolina Arnold School of Public Health, Columbia, South Carolina, USA
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Morgan J, Bauer S, Whitsel A, Combs CA. Society for Maternal-Fetal Medicine Special Statement: Postpartum visit checklists for normal pregnancy and complicated pregnancy. Am J Obstet Gynecol 2022; 227:B2-B8. [PMID: 35691408 DOI: 10.1016/j.ajog.2022.06.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Rising maternal morbidity and mortality rates, widening healthcare disparities, and increasing focus on cardiometabolic risk modification in at-risk patients have together catalyzed a shift in the postpartum care paradigm. What was once a single office visit in the 6 weeks after delivery is now being reimagined as a continuum of care that transitions patients from pregnancy to life-long health optimization. However, this shift in postpartum care also comes with increased visit complexity and additional provider burden, particularly when patients have had significant pregnancy complications or have chronic diseases. To ensure that the comprehensive needs of both healthy and medically complex people are consistently met under this revised postpartum care paradigm, a postpartum visit checklist for uncomplicated postpartum patients and another checklist for those with major medical or obstetric morbidities are presented. These checklists are designed to ensure that essential elements of physical and mental well-being are routinely considered, that adequate follow-up or specialty referrals are made, and that relevant future health risks are appropriately reviewed and discussed.
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Abstract
PURPOSE OF REVIEW Healthcare disparities are health differences that adversely affect disadvantaged populations. In the United States, research shows that women of color, in particular Black and Hispanic women and their offspring, experience disproportionately higher mortality, severe maternal morbidity, and neonatal morbidity and mortality. This review highlights recent population health sciences and comparative effectiveness research that discuss racial and ethnic disparities in maternal and perinatal outcomes. RECENT FINDINGS Epidemiological research confirms the presence of maternal and neonatal disparities in national and multistate database analysis. These disparities are associated with geographical variations, hospital characteristics and practice patterns, and patient demographics and comorbidities. Proposed solutions include expanded perinatal insurance coverage, increased maternal healthcare public funding, and quality improvement initiatives/efforts that promote healthcare protocols and practice standardization. SUMMARY Obstetrical healthcare disparities are persistent, prevalent, and complex and are associated with systemic racism and social determinants of health. Some of the excess disparity gap can be explained through community-, hospital-, provider-, and patient-level factors. Providers and healthcare organizations should be mindful of these disparities and strive to promote healthcare justice and patient equity. Several solutions provide promise in closing this gap, but much effort remains.
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Interrante JD, Admon LK, Stuebe AM, Kozhimannil KB. After Childbirth: Better Data Can Help Align Postpartum Needs with a New Standard of Care. Womens Health Issues 2022; 32:208-212. [PMID: 35031195 DOI: 10.1016/j.whi.2021.12.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 11/24/2021] [Accepted: 12/02/2021] [Indexed: 12/16/2022]
Affiliation(s)
- Julia D Interrante
- University of Minnesota Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, Minnesota.
| | - Lindsay K Admon
- Department of Obstetrics and Gynecology, Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan
| | - Alison M Stuebe
- Department of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Obstetrics and Gynecology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Katy B Kozhimannil
- University of Minnesota Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, Minnesota
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Rezaeiahari M, Brown CC, Ali MM. Impact of the Transition from ICD-9-CM to ICD-10-CM on the Rates of Severe Maternal Morbidity in Arkansas: An Analysis of Claims Data. Women's Health Reports 2022; 3:458-464. [PMID: 35652000 PMCID: PMC9148652 DOI: 10.1089/whr.2021.0092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Accepted: 03/28/2022] [Indexed: 11/23/2022]
Abstract
Background: Severe maternal morbidity (SMM) is considered as a near miss for maternal death, therefore it is crucial to identify and prevent SMM. Medical insurance claims can be used to identify SMM. There was a national transition from the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) to International Classification of Diseases, 10th Revision, Clinical Modification/Procedure Coding System (ICD-10-CM/PCS) in October 2015. Objective: This study investigates the impact of transition from ICD-9-CM to ICD-10-CM on the rates of SMM in the state of Arkansas using birth certificates linked with insurance claims data in the Arkansas All-Payer Claims Database (APCD). Study Design: Birth certificates between January 1, 2013, and December 31, 2017, were linked to insurance claims data from the APCD. SMM was defined using the algorithm provided by the Centers for Disease Control and Prevention, using ICD-9 codes for births before October 1, 2015, and ICD-10-CM codes for births on or after October 1, 2015. Results: The incidence of SMM increased after transition to the ICD-10-CM system in Arkansas. The relatively higher rate of SMM in ICD-10-CM versus ICD-9-CM was greater in magnitude on the delivery day and throughout the 42-day postpartum period (odds ratio [OR]: 1.30; 95% confidence interval [CI]: 1.20–1.42) compared with the rate on the day of delivery (OR: 1.20; 95% CI: 1.06–1.36). When excluding blood transfusions, the higher rate of SMM during the ICD-10 era was even greater both in the delivery day and 42-day postpartum period (OR: 1.66; 95% CI: 1.49–1.85) and on the day of delivery (OR: 1.58; 95% CI: 1.31–1.90).
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Affiliation(s)
- Mandana Rezaeiahari
- Department of Health Policy and Management, University of Arkansas for Medical Sciences, Arkansas, USA
| | - Clare C. Brown
- Department of Health Policy and Management, University of Arkansas for Medical Sciences, Arkansas, USA
| | - Mir M. Ali
- Institute for Digital Health and Innovation, University of Arkansas for Medical Sciences, Arkansas, USA
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Sakai-Bizmark R, Kumamaru H, Estevez D, Neman S, Bedel LEM, Mena LA, Marr EH, Ross MG. Reduced rate of postpartum readmissions among homeless compared with non-homeless women in New York: a population-based study using serial, cross-sectional data. BMJ Qual Saf 2022; 31:267-277. [DOI: 10.1136/bmjqs-2020-012898] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 05/27/2021] [Indexed: 01/04/2023]
Abstract
ObjectiveTo assess differences in rates of postpartum hospitalisations among homeless women compared with non-homeless women.DesignCross-sectional secondary analysis of readmissions and emergency department (ED) utilisation among postpartum women using hierarchical regression models adjusted for age, race/ethnicity, insurance type during delivery, delivery length of stay, maternal comorbidity index score, other pregnancy complications, neonatal complications, caesarean delivery, year fixed effect and a birth hospital random effect.SettingNew York statewide inpatient and emergency department databases (2009–2014).Participants82 820 and 1 026 965 postpartum homeless and non-homeless women, respectively.Main outcome measuresPostpartum readmissions (primary outcome) and postpartum ED visits (secondary outcome) within 6 weeks after discharge date from delivery hospitalisation.ResultsHomeless women had lower rates of both postpartum readmissions (risk-adjusted rates: 1.4% vs 1.6%; adjusted OR (aOR) 0.87, 95% CI 0.75 to 1.00, p=0.048) and ED visits than non-homeless women (risk-adjusted rates: 8.1% vs 9.5%; aOR 0.83, 95% CI 0.77 to 0.90, p<0.001). A sensitivity analysis stratifying the non-homeless population by income quartile revealed significantly lower hospitalisation rates of homeless women compared with housed women in the lowest income quartile. These results were surprising due to the trend of postpartum hospitalisation rates increasing as income levels decreased.ConclusionsTwo factors likely led to lower rates of hospital readmissions among homeless women. First, barriers including lack of transportation, payment or childcare could have impeded access to postpartum inpatient and emergency care. Second, given New York State’s extensive safety net, discharge planning such as respite and sober living housing may have provided access to outpatient care and quality of life, preventing adverse health events. Additional research using outpatient data and patient perspectives is needed to recognise how the factors affect postpartum health among homeless women. These findings could aid in lowering readmissions of the housed postpartum population.
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