Isabella Toledo, Heather Czarny, Emily DeFranco, Carri Warshak, Robert Rossi
{"title":"Delivery-Related Maternal Morbidity and Mortality Among Patients With Cardiac Disease.","authors":"Isabella Toledo, Heather Czarny, Emily DeFranco, Carri Warshak, Robert Rossi","doi":"10.1097/AOG.0000000000005780","DOIUrl":"https://doi.org/10.1097/AOG.0000000000005780","url":null,"abstract":"<p><strong>Objective: </strong>To assess the risk of severe maternal morbidity (SMM) and mortality among pregnant patients with cardiovascular disease (CVD).</p><p><strong>Methods: </strong>This was a retrospective cohort study of U.S. delivery hospitalizations from 2010 to 2020 using weighted population estimates from the National Inpatient Sample database. The primary objective was to evaluate the risk of SMM and maternal mortality among patients with CVD at delivery hospitalization. International Classification of Diseases, Ninth and Tenth Revision, Clinical Modification codes were used to identify delivery hospitalizations, CVD, and SMM events. Multivariable logistic regression analyses were performed to compare SMM and mortality risk among patients with CVD and those without CVD. Given the substantial racial and ethnic disparities in SMM, mortality, and CVD burden, secondary objectives included evaluating SMM and mortality across racial and ethnic groups and assessing the population attributable fraction within each group. Lastly, subgroup analyses of SMM by underlying CVD diagnoses (eg, congenital heart disease, chronic heart failure) were performed. Variables used in the regression models included socioeconomic and demographic maternal characteristics, maternal comorbidities, and pregnancy-specific complications.</p><p><strong>Results: </strong>Among 38,374,326 individuals with delivery hospitalizations, 203,448 (0.5%) had CVD. Patients with CVD had an increased risk of SMM (11.6 vs 0.7%, adjusted odds ratio [aOR] 12.5, 95% CI, 12.0-13.1) and maternal death (538 vs 5 per 100,000 delivery hospitalizations, aOR 44.1, 95% CI, 35.4-55.0) compared with those without CVD. Patients with chronic heart failure had the highest SMM risk (aOR 354.4, 95% CI, 301.0-417.3) among CVD categories. Black patients with CVD had a higher risk of SMM (aOR 15.9, 95% CI, 14.7-17.1) than those without CVD with an adjusted population attributable fraction of 10.5% (95% CI, 10.0-11.0%).</p><p><strong>Conclusion: </strong>CVD in pregnancy is associated with increased risk of SMM and mortality, with the highest risk of SMM among patients with chronic heart failure. Although CVD affects less than 1% of the pregnant population, it contributes to nearly 1 in 10 SMM events in the United States.</p>","PeriodicalId":19483,"journal":{"name":"Obstetrics and gynecology","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142605405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Management of Full-Term Nulliparous Individuals Without a Medical Indication for Delivery.","authors":"","doi":"10.1097/AOG.0000000000005783","DOIUrl":"https://doi.org/10.1097/AOG.0000000000005783","url":null,"abstract":"<p><p>This Clinical Practice Update integrates data from a large, randomized controlled trial (the ARRIVE trial [A Randomized Trial of Induction Versus Expectant Management]) and subsequent other related studies into existing American College of Obstetricians and Gynecologists' guidance regarding management of pregnant individuals at 39 0/7-41 6/7 weeks of gestation without a medical indication for delivery. This document updates Practice Bulletin No. 146, Management of Late-Term and Postterm Pregnancies (Obstet Gynecol 2014;124:390-396) and replaces the Clinical Guidance for Integration of the Findings of the ARRIVE Trial: Labor Versus Expectant Management in Low-Risk Nulliparous Women Practice Advisory, originally published in August 2018.</p>","PeriodicalId":19483,"journal":{"name":"Obstetrics and gynecology","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142605407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lindsay K Admon, Colleen MacCallum-Bridges, Jamie R Daw
{"title":"Trends in Short Interpregnancy Interval Births in the United States, 2016-2022.","authors":"Lindsay K Admon, Colleen MacCallum-Bridges, Jamie R Daw","doi":"10.1097/AOG.0000000000005784","DOIUrl":"https://doi.org/10.1097/AOG.0000000000005784","url":null,"abstract":"<p><strong>Objective: </strong>To measure contemporary trends in the prevalence of short interpregnancy interval (IPI) births in the United States.</p><p><strong>Methods: </strong>We conducted a repeated cross-sectional analysis using 2016-2022 natality data from the National Vital Statistics System. We included all singleton live births to individuals with at least one prior live birth. We examined trends over time in short IPIs less than 18 months, as well as for specific durations within this time frame (less than 6 months, 6-11 months, and 12-17 months), using linear probability models that estimated changes in the prevalence of each IPI duration over time. We then estimated the prevalence of each short IPI duration by maternal race and ethnicity, socioeconomic characteristics (age, education, insurance payer at delivery), and geography (U.S. census region, state of residence).</p><p><strong>Results: </strong>The study sample included 14,770,411 singleton live births to individuals with at least one prior live birth in 2016-2022. Roughly a third (29.8%) of births had an overall IPI of less than 18 months (5.0% less than 6 months, 11.0% 6-11 months, and 13.8% 12-17 months). For IPIs less than 6 months, a slight statistical decline in prevalence was identified over the study period in unadjusted and adjusted models (adjusted annual percentage point change -0.02, 95% CI, -0.03 to -0.02). Slight statistical increases in the prevalence of IPIs of 6-11 and 12-17 months were identified in unadjusted models but were no longer significant and reversed direction in adjusted models, respectively. Long-standing inequities in the distribution of the shortest IPIs (less than 6 months) were stable compared with prior work across the indicators examined in this study.</p><p><strong>Conclusion: </strong>Overall, it appears the prevalence of short IPIs has remained stable between 2016 and 2022.</p>","PeriodicalId":19483,"journal":{"name":"Obstetrics and gynecology","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142605411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kathryn P Pennington, Stephanie L Pugh, Warner Huh, Joan L Walker, Elizabeth Jewell, Laura J Havrilesky, Jeanne Carter, Carolyn Y Muller, Ronny Drapkin, Heather A Lankes, Tara Castellano, Abigail S Zamorano, Stephanie V Blank, Lisa A Kachnic
{"title":"Optimization of Timing for Risk-Reducing Salpingectomy and Oophorectomy.","authors":"Kathryn P Pennington, Stephanie L Pugh, Warner Huh, Joan L Walker, Elizabeth Jewell, Laura J Havrilesky, Jeanne Carter, Carolyn Y Muller, Ronny Drapkin, Heather A Lankes, Tara Castellano, Abigail S Zamorano, Stephanie V Blank, Lisa A Kachnic","doi":"10.1097/AOG.0000000000005781","DOIUrl":"https://doi.org/10.1097/AOG.0000000000005781","url":null,"abstract":"<p><strong>Clinical trial registration: </strong>ClinicalTrials.gov, NCT04251052.</p>","PeriodicalId":19483,"journal":{"name":"Obstetrics and gynecology","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142605409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Obstetrics and gynecologyPub Date : 2024-11-01Epub Date: 2024-09-05DOI: 10.1097/AOG.0000000000005720
Maya Patel, Ashley N Battarbee, Jerrie S Refuerzo, Noelia Zork, Kacey Eichelberger, Gladys A Ramos, Gayle Olson, Celeste Durnwald, Mark B Landon, Kjersti M Aagaard, Kedra Wallace, Christina Scifres, Todd Rosen, Wadia Mulla, Amy Valent, Sherri Longo, Kim A Boggess
{"title":"Association Between Metformin Use in Early Gestational or Type 2 Diabetes in Pregnancy and Preterm Preeclampsia.","authors":"Maya Patel, Ashley N Battarbee, Jerrie S Refuerzo, Noelia Zork, Kacey Eichelberger, Gladys A Ramos, Gayle Olson, Celeste Durnwald, Mark B Landon, Kjersti M Aagaard, Kedra Wallace, Christina Scifres, Todd Rosen, Wadia Mulla, Amy Valent, Sherri Longo, Kim A Boggess","doi":"10.1097/AOG.0000000000005720","DOIUrl":"10.1097/AOG.0000000000005720","url":null,"abstract":"<p><strong>Objective: </strong>To estimate the association between maternal metformin use for the treatment of early gestational or pre-existing type 2 diabetes and preterm preeclampsia.</p><p><strong>Methods: </strong>This is a planned secondary analysis of the MOMPOD study (Medical Optimization of Management of Overt Type 2 Diabetes in Pregnancy), a randomized trial comparing the effect of adding metformin with insulin treatment on composite neonatal outcome in singleton pregnancies with early gestational or type 2 diabetes. Participants were randomized at 11-23 weeks of gestation to 1,000 mg metformin twice daily or placebo until delivery. A subset of participants had maternal blood collected at 24-30 weeks of gestation, and serum soluble endoglin, apolipoprotein B, vascular cell adhesion molecule-1, soluble fms-like tyrosine kinase 1, placental growth factor, high-sensitivity C-reactive protein, adiponectin, and vascular endothelial growth factor levels were measured. Our primary outcome was preterm preeclampsia , defined as preeclampsia requiring delivery before 37 weeks of gestation. Secondary outcomes included preterm preeclampsia requiring delivery before 34 weeks of gestation and differences in serum biomarkers. Multivariable regression analysis was used to estimate the associations between metformin use and primary or secondary study outcomes.</p><p><strong>Results: </strong>Of 831 participants, 119 (14.3%) developed preeclampsia requiring delivery before 37 weeks of gestation: 57 of 416 (13.7%) in the placebo group and 62 of 415 (14.9%) in the metformin group. Thirty-seven (4.4%) developed preeclampsia requiring delivery before 34 weeks of gestation: 15 (3.6%) receiving placebo and 22 (5.3%) receiving metformin. Compared with placebo, metformin was not associated with a significant difference in the occurrence of preeclampsia before 37 weeks of gestation (adjusted odds ratio [aOR] 1.04, 95% CI, 0.70-1.56) or before 34 weeks (aOR 1.43, 95% CI, 0.73-2.81). Similarly, there was no association between maternal metformin use and serum biomarker levels.</p><p><strong>Conclusion: </strong>Among parturients with early gestational or pre-existing type 2 diabetes, the addition of metformin to insulin was not associated with lower odds of preterm preeclampsia or with serum biomarkers associated with cardiovascular disease risk.</p>","PeriodicalId":19483,"journal":{"name":"Obstetrics and gynecology","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142140691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Obstetrics and gynecologyPub Date : 2024-11-01Epub Date: 2024-08-29DOI: 10.1097/AOG.0000000000005710
Laura M Nally, Julia E Blanchette
{"title":"Integrated Strategies to Support Diabetes Technology in Pregnancy.","authors":"Laura M Nally, Julia E Blanchette","doi":"10.1097/AOG.0000000000005710","DOIUrl":"10.1097/AOG.0000000000005710","url":null,"abstract":"<p><p>Managing diabetes in pregnancy can be overwhelming, with numerous dramatic physiologic changes taking place that require constant diligence and attention. Advances in diabetes technology have improved glycemic outcomes, well-being, and quality of life for people with type 1 diabetes of all ages. However, regulatory approval and access to diabetes technology in pregnancy has lagged behind these advancements, leaving many pregnant individuals without tools that could dramatically improve diabetes care before, during, and after gestation. Here, we review the benefits of continuous glucose monitors and automated insulin-delivery systems in pregnancy and highlight specific scientific and structural supports to help implement diabetes technology safely, effectively, and equitably in pregnancy.</p>","PeriodicalId":19483,"journal":{"name":"Obstetrics and gynecology","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11486578/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142110140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Obstetrics and gynecologyPub Date : 2024-11-01Epub Date: 2024-08-01DOI: 10.1097/AOG.0000000000005682
Anna R Blankstein, Sarah M Sigurdson, Levi Frehlich, Zach Raizman, Lois E Donovan, Patricia Lemieux, Christy Pylypjuk, Jamie L Benham, Jennifer M Yamamoto
{"title":"Pre-existing Diabetes and Stillbirth or Perinatal Mortality: A Systematic Review and Meta-analysis.","authors":"Anna R Blankstein, Sarah M Sigurdson, Levi Frehlich, Zach Raizman, Lois E Donovan, Patricia Lemieux, Christy Pylypjuk, Jamie L Benham, Jennifer M Yamamoto","doi":"10.1097/AOG.0000000000005682","DOIUrl":"10.1097/AOG.0000000000005682","url":null,"abstract":"<p><strong>Objective: </strong>Despite the well-recognized association between pre-existing diabetes mellitus and stillbirth or perinatal mortality, there remain knowledge gaps about the strength of association across different populations. The primary objective of this systematic review and meta-analysis was to quantify the association between pre-existing diabetes and stillbirth or perinatal mortality, and secondarily, to identify risk factors predictive of stillbirth or perinatal mortality among those with pre-existing diabetes.</p><p><strong>Data sources: </strong>MEDLINE, EMBASE, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials from inception to April 2022.</p><p><strong>Methods of study selection: </strong>Cohort studies and randomized controlled trials in English or French that examined the association between pre-existing diabetes and stillbirth or perinatal mortality (as defined by the original authors) or identified risk factors for stillbirth and perinatal mortality in individuals with pre-existing diabetes were included. Data extraction was performed independently and in duplicate with the use of prespecified inclusion and exclusion criteria. Assessment for heterogeneity and risk of bias was performed. Meta-analyses were completed with a random-effects model.</p><p><strong>Tabulation, integration, and results: </strong>From 7,777 citations, 91 studies met the inclusion criteria. Pre-existing diabetes was associated with higher odds of stillbirth (37 studies; pooled odds ratio [OR] 3.74, 95% CI, 3.17-4.41, I2 =82.5%) and perinatal mortality (14 studies; pooled OR 3.22, 95% CI, 2.54-4.07, I2 =82.7%). Individuals with type 1 diabetes had lower odds of stillbirth (pooled OR 0.81, 95% CI, 0.68-0.95, I2 =0%) and perinatal mortality (pooled OR 0.73, 95% CI, 0.61-0.87, I2 =0%) compared with those with type 2 diabetes. Prenatal care and prepregnancy diabetes care were significantly associated with lower odds of stillbirth (OR 0.26, 95% CI, 0.11-0.62, I2 =87.0%) and perinatal mortality (OR 0.41, 95% CI, 0.29-0.59, I2 =0%).</p><p><strong>Conclusion: </strong>Pre-existing diabetes confers a more than threefold increased odds of both stillbirth and perinatal mortality. Maternal type 2 diabetes was associated with a higher risk of stillbirth and perinatal mortality compared with maternal type 1 diabetes.</p><p><strong>Systematic review registration: </strong>PROSPERO, CRD42022303112.</p>","PeriodicalId":19483,"journal":{"name":"Obstetrics and gynecology","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141875481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Obstetrics and gynecologyPub Date : 2024-11-01Epub Date: 2024-02-29DOI: 10.1097/AOG.0000000000005538
Leah M Savitsky, Caitlin Hamilton, Mary Sterrett, Kelsey Olerich, Kimberly Ma, Catherine M Albright
{"title":"Universal Fetal Echocardiography for Pregestational Diabetes Mellitus: A Cost-Effectiveness Analysis.","authors":"Leah M Savitsky, Caitlin Hamilton, Mary Sterrett, Kelsey Olerich, Kimberly Ma, Catherine M Albright","doi":"10.1097/AOG.0000000000005538","DOIUrl":"10.1097/AOG.0000000000005538","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the cost effectiveness of universal fetal echocardiogram for patients with pregestational diabetes mellitus by first-trimester hemoglobin A 1c (Hb A 1c ) level.</p><p><strong>Methods: </strong>We developed a cost-effectiveness model comparing two strategies of screening for critical fetal congenital heart disease among patients with diabetes: universal fetal echocardiogram and fetal echocardiogram only after abnormal findings on detailed anatomy ultrasonogram. We excluded ventricular septal defect, atrial septal defects, and bicuspid aortic valve from the definition of critical fetal congenital heart disease. Probabilities and costs were derived from the literature. We used individual models to evaluate different scenarios: first-trimester Hb A 1c lower than 6.5%, Hb A 1c 6.5-9.0%, and Hb A 1c higher than 9.0%. Primary outcomes included fetal death, neonatal death, and false-positive and false-negative results. A cost-effectiveness threshold was set at $100,000 per quality-adjusted life-year. Univariable sensitivity analyses were performed to investigate the drivers of the model.</p><p><strong>Results: </strong>Universal fetal echocardiogram is not cost effective except for when first-trimester Hb A 1c level is higher than 9.0% (incremental cost-effectiveness ratio $638,100, $223,693, and $67,697 for Hb A 1c lower than 6.5%, 6.5-9.0%, and higher than 9.0%, respectively). The models are sensitive to changes in the probability of congenital heart disease at a given Hb A 1c level, as well as the cost of neonatal transfer to a higher level of care. Universal fetal echocardiogram became both cost saving and more effective when the probability of congenital heart disease reached 14.48% (15.4 times the baseline risk). In the Monte Carlo simulation, universal fetal echocardiogram is cost effective in 22.7%, 48.6%, and 62.3% of scenarios for each of the three models, respectively.</p><p><strong>Conclusion: </strong>For pregnant patients with first-trimester Hb A 1c levels lower than 6.5%, universal fetal echocardiogram was not cost effective, whereas, for those with first-trimester Hb A 1c levels higher than 9.0%, universal fetal echocardiogram was cost effective. For those with intermediate Hb A 1c levels, universal fetal echocardiogram was cost effective in about 50% of cases; therefore, clinical judgment based on individual patient values, willingness to pay to detect congenital heart disease, and resource availability needs to be considered.</p>","PeriodicalId":19483,"journal":{"name":"Obstetrics and gynecology","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139997025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matthew D Solomon, Eve F Zaritsky, Margaret Warton, Andrea Millman, Ashley Huynh, Bharathi Chinnakotla, Mary E Reed
{"title":"Effects of the Affordable Care Act on Contraception, Pregnancy, and Pregnancy Termination Rates.","authors":"Matthew D Solomon, Eve F Zaritsky, Margaret Warton, Andrea Millman, Ashley Huynh, Bharathi Chinnakotla, Mary E Reed","doi":"10.1097/AOG.0000000000005796","DOIUrl":"https://doi.org/10.1097/AOG.0000000000005796","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the effects of the Affordable Care Act (ACA) and its elimination of cost-sharing on contraception utilization, pregnancy rates, and abortion rates.</p><p><strong>Methods: </strong>We conducted a retrospective cohort study within a healthcare system serving over 4.5 million insured members across 21 medical centers and 250 clinics. The study included women aged 18-45 with continuous health plan membership for at least two years in the pre-ACA (2007-2012) and post-ACA (2013-2018) periods. We analyzed out-of-pocket (OOP) costs for contraception, including oral contraceptives and long-acting reversible contraception (LARC), before and after the ACA's implementation. We then examined how the elimination of OOP costs affected contraception use, pregnancy rates, and abortion rates.</p><p><strong>Results: </strong>The study identified 1,523,962 women of childbearing age. In 2013, cost sharing for contraception sharply declined, with average annual OOP costs dropping from $88-$94 pre-ACA to nearly zero post-ACA. Contraceptive use increased overall, rising from 30.2% pre-ACA to 31.9% by the study's end, with a notable rise in LARC use. In interrupted time-series analyses, while contraception use continued to increase post-ACA, new pregnancy rates declined at a faster rate than pre-ACA, and abortion rates continued to fall, though at a slightly slower pace than pre-ACA (p<0.05 for all trends).</p><p><strong>Conclusions: </strong>The Affordable Care Act's elimination of contraception cost-sharing led to increased contraception use, particularly LARC methods, and contributed to declines in both pregnancy and abortion rates. This suggests that improving access to effective contraception is a key strategy in reducing unintended pregnancies.</p>","PeriodicalId":19483,"journal":{"name":"Obstetrics and gynecology","volume":null,"pages":null},"PeriodicalIF":5.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142558395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Addressing Social and Structural Determinants of Health in the Delivery of Reproductive Health Care: ACOG Committee Statement No. 11.","authors":"","doi":"10.1097/aog.0000000000005721","DOIUrl":"https://doi.org/10.1097/aog.0000000000005721","url":null,"abstract":"Social and structural determinants of health include historical, social, political, and economic forces, many of which are rooted in racism and inequality, that shape the relationship between environmental conditions and individual health. Unmet social needs can increase the risk of many conditions treated by obstetrician-gynecologists (ob-gyns), including, but not limited to, preterm birth, unintended pregnancy, infertility, cervical cancer, breast cancer, and maternal mortality. An individual health care professional's biases (whether overt or unconscious) affect delivery of care and may exacerbate and reinforce health disparities through inequitable treatment. Obstetrician-gynecologists and other health care professionals should seek to understand patients' health care decision making not simply as patients' individual-level behavior, but rather as the result of intersecting sociopolitical conditions, structural inequities, and social needs that create and maintain inequalities in health and health care. Recognizing the importance of social and structural determinants of health can help ob-gyns and other health care professionals to better understand patients, effectively communicate about health-related conditions and behavior, and contribute to improved health outcomes, including patients' experience of care and their trust in the health care system.","PeriodicalId":19483,"journal":{"name":"Obstetrics and gynecology","volume":null,"pages":null},"PeriodicalIF":7.2,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142449346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}