Economic costs of perinatal depression and anxiety in a lower middle income country: Pakistan.

BACKGROUND: Women's mental health during the perinatal period is a major public health problem in Pakistan. Many challenges and competing priorities prevent progress to address the large treatment gap. Aim To quantify the long-term impacts of untreated perinatal depression and anxiety in economic terms, thus highlighting its overall burden based on country-specific evidence. METHODS: Cost estimates were generated for a hypothetical cohort of women giving birth in 2017, and their children. Women and children experiencing adverse events linked to perinatal mental health problems were modelled over 40 years. Costs assigned to adverse events included were those linked to losses in quantity and quality-of-life, productivity, and healthcare-related expenditure. Present values were derived using a discount rate of 3 %. Data were taken from published cohort studies, as well as from sources of population, economic and health indicators. RESULTS: The total costs were $16.5 billion for the cohort and $2680 per woman giving birth. The by far largest proportion referred to quality-of-life losses ($15.8 billion). Productivity losses and out-of-pocket expenditure made up only a small proportion of the costs, due to low wages and market prices. When the costs of maternal suicide were included, total costs increased to $16.6 billion. LIMITATIONS: Important evidence gaps prevented the inclusion of all cost consequences linked to perinatal mental health problems. CONCLUSIONS: Total national costs are much higher compared with those in other, higher middle-income countries, reflecting the excessive disease burden. This study is an important first step to inform resource allocations.

Homelessness in Pregnancy and Increased Risk of Adverse Outcomes: A Retrospective Cohort Study.

Limited data indicates that homelessness during pregnancy is linked to adverse outcomes for both mothers and newborns, but there is an information gap surrounding pregnant individuals struggling with homelessness. In a landscape of increasing healthcare disparities, housing shortages and maternal mortality, information on this vulnerable population is fundamental to the creation of targeted interventions and outreach. The current study investigates homelessness as a risk factor for adverse obstetrical, neonatal, and postpartum outcomes. We reviewed more than 1000 deliveries over 1 year at a large public hospital in New York City, comparing homeless subjects to a group of age-matched, stably housed controls. Multiple outcomes were assessed regarding obstetrical, neonatal, and postpartum outcomes along with social stressors. Homeless pregnant individuals were more likely to experience numerous adverse outcomes, including cesarean delivery and preterm delivery. Their neonates were more likely to undergo an extended stay in the intensive care unit and evaluation by the Administration for Children's Services, suggesting that they may be at an increased risk for family separation. After delivery, patients were less likely to exclusively breastfeed or return for their postpartum visit. Regarding personal history, they were more likely to endorse a history of violence or abuse, use illicit substances, and carry a psychiatric diagnosis. These findings indicate that homelessness is linked to numerous adverse obstetrical, neonatal, and postpartum outcomes that worsen health indices and exacerbate pre-existing disparities. Initiatives must focus on improved outreach and care delivery for homeless pregnant individuals.

Trends and disparities in perinatal health outcomes among women from refugee backgrounds in Victoria, Australia: A population-based study.

BACKGROUND: Women from refugee backgrounds generally experience poorer pregnancy-related outcomes compared to host populations. AIM: To examine the trend and disparities in adverse perinatal outcomes among women of refugee background using population-based data from 2003 to 2017. METHODS: A population-based cross-sectional study of 754,270 singleton births in Victoria compared mothers of refugee backgrounds with Australian-born mothers. Inferential statistics, including Pearson chi-square and binary logistic regression, were conducted. Multiple logistic regression was conducted to explore the relationship between adverse perinatal outcomes and the women's refugee status. FINDINGS: Women of refugee background had higher odds of adverse neonatal and maternal outcomes, including stillbirth, neonatal death, low APGAR score, small for gestational age, postpartum haemorrhage, abnormal labour, perineal tear, and maternal admission to intensive care compared to Australian-born women. However, they had lower odds of neonatal admission to intensive care, pre-eclampsia, and maternal postnatal depression. The trend analysis showed limited signs of gaps closing over time in adverse perinatal outcomes. DISCUSSION AND CONCLUSION: Refugee background was associated with unfavourable perinatal outcomes, highlighting the negative influence of refugee status on perinatal health. This evidences the need to address the unique healthcare requirements of this vulnerable population to enhance the well-being of mothers and newborns. Implementing targeted interventions and policies is crucial to meet the healthcare requirements of women of refugee backgrounds. Collaborative efforts between healthcare organisations, government agencies and non-governmental organisations are essential in establishing comprehensive support systems to assist refugee women throughout their perinatal journey.

Pregnancy following assisted reproductive technology in morbidly obese patients: assessment of feto-maternal outcomes.

PURPOSE: To examine feto-maternal characteristics and outcomes of morbidly obese pregnant patients who conceived with assisted reproductive technology (ART). METHODS: This cross-sectional study queried the Healthcare Cost and Utilization Project's National Inpatient Sample. Study population was 48,365 patients with ART pregnancy from January 2012 to September 2015, including non-obesity (n = 45,125, 93.3%), class I-II obesity (n = 2445, 5.1%), and class III obesity (n = 795, 1.6%). Severe maternal morbidity at delivery per the Centers for Disease and Control Prevention definition was assessed with multivariable binary logistic regression model. RESULTS: Patients in the class III obesity group were more likely to have a hypertensive disorder (adjusted-odds ratio (aOR) 3.03, 95% confidence interval (CI) 2.61-3.52), diabetes mellitus (aOR 3.08, 95%CI 2.64-3.60), large for gestational age neonate (aOR 3.57, 95%CI 2.77-4.60), and intrauterine fetal demise (aOR 2.03, 95%CI 1.05-3.94) compared to those in the non-obesity group. Increased risks of hypertensive disease (aOR 1.35, 95%CI 1.14-1.60) and diabetes mellitus (aOR 1.39, 95%CI 1.17-1.66) in the class III obesity group remained robust even compared to the class I-II obesity group. After controlling for priori selected clinical, pregnancy, and delivery factors, patients with class III obesity were 70% more likely to have severe maternal morbidity at delivery compared to non-obese patients (8.2% vs 4.4%, aOR 1.70, 95%CI 1.30-2.22) whereas those with class I-II obesity were not (4.1% vs 4.4%, aOR 0.87, 95%CI 0.70-1.08). CONCLUSIONS: The results of this national-level analysis in the United States suggested that morbidly obese pregnant patients conceived with ART have increased risks of adverse fetal and maternal outcomes.

Prenatal phthalate exposure and adverse birth outcomes in the USA: a prospective analysis of births and estimates of attributable burden and costs.

BACKGROUND: Phthalates are synthetic chemicals widely used in consumer products and have been identified to contribute to preterm birth. Existing studies have methodological limitations and potential effects of di-2-ethylhexyl phthalate (DEHP) replacements are poorly characterised. Attributable fractions and costs have not been quantified, limiting the ability to weigh trade-offs involved in ongoing use. We aimed to leverage a large, diverse US cohort to study associations of phthalate metabolites with birthweight and gestational age, and estimate attributable adverse birth outcomes and associated costs. METHODS: In this prospective analysis we used extant data in the US National Institutes of Health Environmental influences on Child Health Outcomes (ECHO) Program from 1998 to 2022 to study associations of 20 phthalate metabolites with gestational age at birth, birthweight, birth length, and birthweight for gestational age z-scores. We also estimated attributable adverse birth outcomes and associated costs. Mother-child dyads were included in the study if there were one or more urinary phthalate measurements during the index pregnancy; data on child's gestational age and birthweight; and singleton delivery. FINDINGS: We identified 5006 mother-child dyads from 13 cohorts in the ECHO Program. Phthalic acid, diisodecyl phthalate (DiDP), di-n-octyl phthalate (DnOP), and diisononyl phthalate (DiNP) were most strongly associated with gestational age, birth length, and birthweight, especially compared with DEHP or other metabolite groupings. Although DEHP was associated with preterm birth (odds ratio 1·45 [95% CI 1·05-2·01]), the risks per log10 increase were higher for phthalic acid (2·71 [1·91-3·83]), DiNP (2·25 [1·67-3·00]), DiDP (1·69 [1·25-2·28]), and DnOP (2·90 [1·96-4·23]). We estimated 56 595 (sensitivity analyses 24 003-120 116) phthalate-attributable preterm birth cases in 2018 with associated costs of US$3·84 billion (sensitivity analysis 1·63- 8·14 billion). INTERPRETATION: In a large, diverse sample of US births, exposure to DEHP, DiDP, DiNP, and DnOP were associated with decreased gestational age and increased risk of preterm birth, suggesting substantial opportunities for prevention. This finding suggests the adverse consequences of substitution of DEHP with chemically similar phthalates and need to regulate chemicals with similar properties as a class. FUNDING: National Institutes of Health.

Prioritizing Maternal Mental Health in Addressing Morbidity and Mortality.

Importance: The rate of maternal mortality in the United States is 2-fold to 3-fold greater than that in other high-income countries. While many national initiatives have been developed to combat maternal mortality, these efforts often fail to include mental illness. Objective: To highlight the underrecognized contribution of mental illness to maternal mortality, which is nearly double that of postpartum hemorrhage. Evidence Review: A topic outline was developed to include challenges in measuring perinatal mental conditions and mortality rates; contributions of social determinants of health to mental conditions and mortality; perinatal psychiatric disorder characterization; mechanisms by which maternal mental illness increases mortality, specifically, suicide and addictive disorders; access limitations and care "deserts"; prenatal stress and its impact on reproductive outcomes; increasing clinician expertise through cross-disciplinary education; intervention sites and models; and asserting that mental health is fundamental to maternal health. Publications in the last 3 years were prioritized, particularly those relating to policy. References were selected through consensus. Sources were PubMed, Ovid, direct data published on government websites, and health policy sources such as the Policy Center for Maternal Mental Health. Findings: Priority was given to recent sources. Citations from 2022-2023 numbered 26; within the last 5 years, 14; and historical references, 15. Recommendations to address each topic area serve as concluding statements for each section. To mitigate the contributions of mental illness to the maternal mortality risk, a coordinated effort is required across professional and governmental organizations. Conclusions and Relevance: Concrete programmatic and policy changes are needed to reduce perinatal stress and address trauma, standardize the collection of social determinant of health data among perinatal patients, increase access to reproductive psychiatry curricula among prescribers, reduce perinatal mental health and obstetrical deserts, institute paid parental leave, and support seamless integration of perinatal and behavioral health care. Moreover, instead of focusing on a relatively minor portion of the contributors to health that current medical practice targets, fortifying the social foundation strengthens the prospects for the health of families for our current and future generations.

Maternal Deaths Using Coroner's Data: A Latent Class Analysis.

OBJECTIVE: Knowledge regarding the antecedent clinical and social factors associated with maternal death around the time of pregnancy is limited. This study identified distinct subgroups of maternal deaths using population-based coroner's data, and that may inform ongoing preventative initiatives. METHODS: A detailed review of coroner's death files was performed for all of Ontario, Canada, where there is a single reporting mechanism for maternal deaths. Deaths in pregnancy, or within 365 days thereafter, were identified within the Office of the Chief Coroner for Ontario database, 2004-2020. Variables related to the social and clinical circumstances surrounding the deaths were abstracted in a standardized manner from each death file, including demographics, forensic information, nature and cause of death, and antecedent health and health care factors. These variables were then entered into a latent class analysis (LCA) to identify distinct types of deaths. RESULTS: Among 273 deaths identified in the study period, LCA optimally identified three distinct subgroups, namely, (1) in-hospital deaths arising during birth or soon thereafter (52.7% of the sample); (2) accidents and unforeseen obstetric complications also resulting in infant demise (26.3%); and (3) out-of-hospital suicides occurring postpartum (21.0%). Physical injury (22.0%) was the leading cause of death, followed by hemorrhage (16.8%) and overdose (13.3%). CONCLUSION: Peri-pregnancy maternal deaths can be classified into three distinct sub-types, with somewhat differing causes. These findings may enhance clinical and policy development aimed at reducing pregnancy mortality.

Using Prevention Research to Reduce Racial Disparities in Health Through Innovative Funding Strategies: The Case of Doula Care.

Racial disparities in maternal birth outcomes are substantial even when comparing women with similar levels of education. While racial differences in maternal death at birth or shortly afterward have attracted significant attention from researchers, non-fatal but potentially life-threatening pregnancy complications are 30-40 times more common than maternal deaths. Black women have the worst maternal health outcomes. Only recently have health researchers started to view structural racism rather than race as the critical factor underlying these persistent inequities. We discuss the economic framework that prevention scientists can use to convince policymakers to make sustainable investments in maternal health by expanding funding for doula care. While a few states allow Medicaid to fund doula services, most women at risk of poor maternal health outcomes arising from structural racism lack access to culturally sensitive caregivers during the pre-and post-partum periods as well as during birth. We provide a guide to how research in health services can be more readily translated to policy recommendations by describing two innovative ways that cost-benefit analysis can help direct private and public funding to support doula care for Black women and others at risk of poor birth outcomes.

Association Between Doula Use on a Digital Health Platform and Birth Outcomes.

OBJECTIVE: To examine the association between the use of virtual doula appointments on a comprehensive digital health platform and users' mode of birth and their birth experiences, among all platform users and Black platform users. METHODS: Data for this retrospective cohort study were extracted from individuals who enrolled in a comprehensive digital health platform, between January 1, 2020, and April 22, 2023. Multivariable logistic regression models were used to estimate the association between number of virtual doula appointments completed on the digital health platform and odds of cesarean birth and user-reported birth experience outcomes, which included help deciding a birth preference, receiving a high level of support during pregnancy, learning medically accurate information about pregnancy complications and warning signs, and managing mental health during pregnancy, stratified by parity. The interaction of doula utilization by race for each outcome was also tested. RESULTS: Overall 8,989 platform users were included. The completion of at least two appointments with a virtual doula on the digital health platform was associated with a reduction in odds of cesarean birth among all users (adjusted odds ratio [aOR] 0.80, 95% CI, 0.65-0.99) and among Black users (aOR 0.32, 95% CI, 0.14-0.72). Among platform users with a history of cesarean birth, completion of any number of doula visits was associated with a reduction in odds of repeat cesarean birth (one visit: aOR 0.35, 95% CI, 0.17-0.72; two or more visits: aOR 0.37, 95% CI, 0.17-0.83). Analyses among all users indicated dose-response associations between increased virtual doula use and greater odds of users reporting support in deciding a birth preference (one visit: aOR 2.35, 95% CI, 2.02-2.74; two or more visits: aOR 3.67, 95% CI, 3.03-4.44), receiving a high level of emotional support during pregnancy (one visit: aOR 1.99, 95% CI, 1.74-2.28; two or more visits: aOR 3.26, 95% CI, 2.70-3.94), learning medically accurate information about pregnancy complications and warning signs (one visit: aOR 1.26, 95% CI, 1.10-1.44; two or more visits: aOR 1.55, 95% CI, 1.29-1.88), and help managing mental health during pregnancy (one visit: aOR 1.28, 95% CI, 1.05-1.56; two or more visits: aOR 1.78, 95% CI, 1.40-2.26). CONCLUSION: This analysis demonstrates that virtual doula support on a digital health platform is associated with lower odds of cesarean birth and an improved birth experience. Positive findings among Black users and users with vaginal birth after cesarean suggest that doula support is critical for patient advocacy, and that digital health may play a meaningful role in increasing health equity in birth outcomes.

Association of Antenatal Housing Instability with Perinatal Care Utilization and Outcomes.

Background: Social determinants of health are important contributors to maternal and child health outcomes. Limited existing research examines the relationship between housing instability during pregnancy and perinatal care utilization. Our objective was to evaluate whether antenatal housing instability is associated with differences in perinatal care utilization and outcomes. Materials and Methods: Participants who were surveyed during their postpartum hospitalization were considered to have experienced housing instability if they answered affirmatively to at least one of six screening items. The primary outcome was adequacy of prenatal care measured by the Adequacy of Prenatal Care Utilization index. Maternal, neonatal, and postpartum outcomes, including utilization and breastfeeding, were also collected as secondary outcomes. Multivariable logistic regression models were adjusted for sociodemographic and clinical covariates. Results: In this cohort (N = 490), 11.2% (N = 55) experienced housing instability during pregnancy. Participants with unstable housing were more likely to have inadequate prenatal care (17.3% vs. 3.9%; odds ratio [OR] 5.11, 95% confidence interval [CI] 2.15-12.14, p < 0.001), but findings were not significant after adjustment (aOR 1.72, 95% CI 0.55-5.41, p = 0.35). Similarly, postpartum visit attendance was lower for individuals with unstable housing (79.6% vs. 91.2%), but there was no difference in the odds of the postpartum visit attendance after adjustment (OR 0.69, 95% CI 0.29-1.66, p = 0.14). Conclusions: There were no statistically significant association with the maternal, neonatal, and other postpartum secondary outcomes. Housing instability appears to be a risk marker that is related to other social determinants of health. Given the range of housing instability experiences, future research must account for specific types and degrees of housing instability and their potential perinatal consequences.

Implications of the accuracy of diagnostic algorithms for systemic lupus on our understanding of racial disparities in pregnancy outcomes.

OBJECTIVE: Disparities in pregnancy outcomes among women with SLE remain understudied, with few available racially diverse datasets. We sought to identify disparities between Black and White women in pregnancy outcomes within academic institutions in the United States. METHODS: Using the Common Data Model electronic medical record (EMR)-based datasets within the Carolinas Collaborative, we identified women with pregnancy delivery data (2014-2019) and ≥1 SLE International Classification of Diseases 9 or 10 code (ICD9/10) code. From this dataset, we identified four cohorts of SLE pregnancies, three based on EMR-based algorithms and one confirmed with chart review. We compared the pregnancy outcomes identified in each of these cohorts for Black and White women. RESULTS: Of 172 pregnancies in women with ≥1 SLE ICD9/10 code, 49% had confirmed SLE. Adverse pregnancy outcomes occurred in 40% of pregnancies in women with ≥1 ICD9/10 SLE code and 52% of pregnancies with confirmed SLE. SLE was frequently over-diagnosed in women who were White, resulting in 40-75% lower rates of adverse pregnancy outcomes in EMR-derived vs confirmed SLE cohorts. Over-diagnosis was less common for Black women with pregnancy outcomes 12-20% lower in EMR-derived vs confirmed SLE cohorts. Black women had higher rates of adverse pregnancy outcomes than White women in the EMR-derived, but not the confirmed cohorts. CONCLUSION: EMR-derived cohorts of pregnancies in women who are Black, but not White, provided accurate estimations of pregnancy outcomes. The data from the confirmed SLE pregnancies suggest that all women with SLE, regardless of race, referred to academic centres remain at very high risk for adverse pregnancy outcome.

History of multifetal gestation and long-term maternal mortality.

BACKGROUND: Multifetal gestation could be associated with higher long-term maternal mortality because it increases the risk of pregnancy complications such as preeclampsia and preterm birth, which are in turn linked to postpartum cardiovascular risk. OBJECTIVES: We examined whether spontaneously conceived multifetal versus singleton gestation was associated with long-term maternal mortality in a racially diverse U.S. METHODS: We ascertained vital status as of 2016 via linkage to the National Death Index and Social Security Death Master File of 44,174 mothers from the Collaborative Perinatal Project (CPP; 1959-1966). Cox proportional hazards models with maternal age as the time scale assessed associations between history of spontaneous multifetal gestation (in the last CPP observed pregnancy or prior pregnancy) and all-cause and cardiovascular mortality, adjusted for demographics, smoking status, and preexisting medical conditions. We calculated hazard ratios (HR) for all-cause and cause-specific mortality over the study period and until age 50, 60, and 70 years (premature mortality). RESULTS: Of eligible participants, 1672 (3.8%) had a history of multifetal gestation. Participants with versus without a history of multifetal gestation were older, more likely to have a preexisting condition, and more likely to smoke. By 2016, 51% of participants with and 38% of participants without a history of multifetal gestation had died (unadjusted all-cause HR 1.14, 95% confidence interval [CI] 1.07, 1.23). After adjustment for smoking and preexisting conditions, a history of multifetal gestation was not associated with all-cause (adjusted HR 1.00, 95% CI 0.93, 1.08) or cardiovascular mortality (adjusted HR 0.99, 95% CI 0.87, 1.11) over the study period. However, history of multifetal gestation was associated with an 11% lower risk of premature all-cause mortality (adjusted HR 0.89, 95% CI 0.82, 0.96). CONCLUSIONS: In a cohort with over 50 years of follow-up, history of multifetal gestation was not associated with all-cause mortality, but may be associated with a lower risk of premature mortality.

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.

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.

What is already known on this subject? American Indian and Alaska Native pregnant people face higher rates of severe maternal morbidity and mortality, and the risk is exacerbated for rural Indigenous pregnant people.What this study adds? This publication uses a multilevel model to assess the contribution of community-level factors in severe maternal morbidity risk for American Indian and Alaska Native pregnant people. This analysis highlights the important role that rurality, prenatal care adequacy and access to insurance play in maternal morbidity risk and discusses how those risks are disproportionately felt by American Indian and Alaska Native pregnant people in the Pacific Northwest.

Effect of a community-based primary healthcare programme on adverse pregnancy outcomes in Northern Ghana.

BACKGROUND: Pregnancy complications and adverse birth outcomes are among the major contributors to poor maternal and child health. Mothers in remote communities are at higher risk of adverse birth outcomes due to constraints in access to healthcare services. In Ghana, a community-based primary healthcare programme called the Ghana Essential Health Interventions Programme (GEHIP) was implemented in a rural region to help strengthen primary healthcare delivery and improve maternal and child healthcare services delivery. This study assessed the effect of this programme on adverse pregnancy outcomes. METHODS: Baseline and end-line survey data from reproductive-aged women from the GEHIP project were used in this analysis. Difference-in-differences and logistic regressions were used to examine the impact and equity effect of GEHIP on adverse pregnancy outcomes using household wealth index and maternal educational attainment as equity measures. The analysis involves the comparison of project baseline and end-line outcomes in intervention and non-intervention districts. RESULTS: The intervention had a significant effect in the reduction of adverse pregnancy outcomes (OR = 0.96, 95% CI:0.93-0.99). Although disadvantaged groups experience larger reductions in adverse pregnancy outcomes, controlling for covariates, there was no statistically significant equity effect of GEHIP on adverse pregnancy outcomes using either the household wealth index (OR = 0.99, 95% CI:0.85-1.16) or maternal educational attainment (OR = 0.68, 95% CI: 0.44-1.07) as equity measures. CONCLUSION: GEHIP's community-based healthcare programme reduced adverse pregnancy outcomes but no effect on relative equity was established. Factoring in approaches for targeting disadvantaged populations in the implementation of community-based health programs is crucial to ensuring equity in health outcomes.

Mapping the scientific literature on obstetrical and perinatal health among sexual and gender minoritised (SGM) childbearing people and their infants: a scoping review protocol.

INTRODUCTION: Sexual and gender minoritised (SGM) populations are disproportionately impacted by multilevel risk factors for obstetrical and perinatal outcomes, including structural (eg, stigma, discrimination, access to care) and individual risk factors (eg, partner violence, poor mental health, substance use). Emerging evidence shows SGM childbearing people have worse obstetrical outcomes and their infants have worse perinatal outcomes, when compared with their cisgender and heterosexual counterparts; this emerging evidence necessitates a comprehensive examination of existing literature on obstetrical and perinatal health among SGM people. The goal of this scoping review is to comprehensively map the extent, range and nature of scientific literature on obstetrical and perinatal physical health outcomes among SGM populations and their infants. We aim to summarise findings from existing literature, potentially informing clinical guidelines on perinatal care, as well as highlighting knowledge gaps and providing directions for future research. METHODS AND ANALYSIS: We will follow the Joanna Briggs Institute (JBI) scoping review framework and report findings according to the PRISMA Extension for Scoping Reviews (PRISMA-ScR) guidelines. We will conduct a broad systematic search in Medline/PubMed, Embase, CINAHL and Web of Science Core Collection. Eligible studies will include peer-reviewed, empirical, English-language publications pertaining to obstetrical and perinatal physical health outcomes of SGM people or their infants. No temporal or geographical limitations will be applied to the search. Studies conducted in all settings will be considered. Records will be managed, screened and extracted by two independent reviewers. Study characteristics, key findings and research gaps will be presented in tables and summarised narratively. ETHICS AND DISSEMINATION: Ethical approval is not required as primary data will not be collected. The findings of this scoping review will be disseminated through a peer-reviewed journal and conference presentations. PROTOCOL REGISTRATION: Open Science Framework https://osf.io/6fg4a/.

A log-binomial Bayesian geoadditive semiparametric analysis of geographical inequalities in caesarean births in Ghana.

BACKGROUND: Caesarean section is a clinical intervention aimed to save the lives of women and their newborns. In Ghana, studies have reported inequalities in use among women of different socioeconomic backgrounds. However, geographical differentials at the district level where health interventions are implemented, have not been systematically studied. This study examined geographical inequalities in caesarean births at the district level in Ghana. The study investigated how pregnancy complications and birth risks, access to health care and affluence correlate with geographical inequalities in caesarean section uptake. METHODS: The data for the analysis was derived from the 2017 Ghana Maternal Health Survey. The log-binomial Bayesian Geoadditive Semiparametric regression technique was used to examine the extent of geographical clustering in caesarean births at the district level and their spatial correlates. RESULTS: In Ghana, 16.0% (95% CI = 15.3, 16.8) of births were via caesarean section. Geospatial analysis revealed a strong spatial dependence in caesarean births, with a clear north-south divide. Low frequencies of caesarean births were observed among districts in the northern part of the country, while those in the south had high frequencies. The predominant factor associated with the spatial differentials was affluence rather than pregnancy complications and birth risk and access to care. CONCLUSIONS: Strong geographical inequalities in caesarean births exist in Ghana. Targeted and locally relevant interventions including health education and policy support are required at the district level to address the overuse and underuse of caesarean sections, to correspond to the World Health Organisation recommended optimal threshold of 10% to 15%.

Machine learning based assessment of preclinical health questionnaires.

BACKGROUND: Within modern health systems, the possibility of accessing a large amount and a variety of data related to patients' health has increased significantly over the years. The source of this data could be mobile and wearable electronic systems used in everyday life, and specialized medical devices. In this study we aim to investigate the use of modern Machine Learning (ML) techniques for preclinical health assessment based on data collected from questionnaires filled out by patients. METHOD: To identify the health conditions of pregnant women, we developed a questionnaire that was distributed in three maternity hospitals in the Mureș County, Romania. In this work we proposed and developed an ML model for pattern detection in common risk assessment based on data extracted from questionnaires. RESULTS: Out of the 1278 women who answered the questionnaire, 381 smoked before pregnancy and only 216 quit smoking during the period in which they became pregnant. The performance of the model indicates the feasibility of the solution, with an accuracy of 98 % confirmed for the considered case study. CONCLUSION: The proposed solution offers a simple and efficient way to digitize questionnaire data and to analyze the data through a reduced computational effort, both in terms of memory and computing power used.

Protocolo Clínico - Quirúrgico de Cesárea en la Unidad Técnica de Alto Riesgo Obstétrico / Clinical-Surgical Protocol for Cesarean Section in the Obstetric High Risk Technical Unit

El procedimiento quirúrgico cesárea con miras a la historia es considerada como un avance de suma importancia en la dismi-nución del riesgo de mortalidad materna y perinatal1.Es la intervención más realizada a nivel de especialidad lo que conlleva riesgos inherentes, quirúrgicos y anestésicos2,3.En el año 2015 la incidencia en el Ecuador de terminación del embarazo por cesárea es del 29,3% en el sector público, 49,9% en Seguridad Social y 69,9% en clínicas privadas4. Para la Or-ganización Mundial de la Salud (OMS) en el mismo año refiere que "En ninguna región del mundo se justifica la incidencia de cesárea superior al 10- 15%"5. La variabilidad de indicación de cesárea, hace que sea necesaria la creación de guías y protocolos, para de esta manera unificar los criterios médicos, de acuerdo a la mejor evidencia científica disponible.

The cesarean section surgical procedure is historically considered a very important advance in reducing the risk of maternal and perinatal mortality1.It is the most frequently performed intervention at the specialty level, which entails inherent surgical and anesthetic risks2,3.In 2015, the incidence in Ecuador of termination of pregnancy by cesarean section is 29,3% in the public sector, 49,9% in Social Security and 69,9% in private clinics4. For the World Health Or-ganization (WHO) in the same year, it states that "In no region of the world is the incidence of cesarean section higher than 10-15% justified" 5.The variability of the indication for cesarean section makes it ne-cessary to create guidelines and protocols, in order to unify me-dical criteria, according to the best scientific evidence available.

Assessment of Organ Dysfunction and Underlying Causes in Maternal Near-miss Cases at Health Care Facilities in Doiwala Block of District Dehradun - A Retrospective Study.

INTRODUCTION: The extent of maternal morbidity is a good gauge of a nation's maternal health care system. Maternal near-miss (MNM) cases need to be reviewed because they can indirectly contribute significantly to reducing the maternal mortality ratio in India. MNM cases can provide useful information in this context. Such women who survive these life-threatening conditions arising from complications during pregnancy, childbirth and post partum (42 days) share many commonalities with those who die because of such complications. AIM: To assess the organ dysfunction and the underlying causes, associated/contributory factors associated with "maternal near-miss" cases in pregnant, in labor, post-partum women (upto42 days) in the health care facilities of Doiwala block, district Dehradun. MATERIALS AND METHODS: The present study was conducted over a period of 6 months under the Department of Community and Family Medicine, All India Institute of Medical Sciences, Rishikesh. The cross-sectional study included the medical record files of all pregnant women attending the Department of Obstetrics and Gynecology, in the selected healthcare facilities of Doiwala block, district Dehradun. This study was conducted as per the WHO criteria for "near-miss" by using convenience sampling for the selection of healthcare facilities. The medical record files of all women who were pregnant, in labor, or who had delivered or aborted up to 42 days were included from a period of 01.06.2021 - 31.05.2022. RESULTS: It was found that Out of the women with maternal near-miss (n=91), the majority of women had coagulation /hematological dysfunction (n=45, 49.4%), followed by neurologic dysfunction (n=15, 16.4%), cardio-vascular dysfunction (n=11, 12%). Out of the total women with a maternal near-miss (n = 91), 10 women underwent multiple organ dysfunctions. Of the total 91 maternal near-miss cases, the underlying cause of near-miss was obstetric hemorrhage in almost half the participants (n=45, 49.5%) followed by hypertensive disorders (n=36, 39.5%). Eleven women had a pregnancy with abortive outcomes (12%) and 7 women had pregnancy-related infection. It was also seen that, out of 91 near-miss women, the leading contributory /associated cause was Anemia (n=89, 97.8%) followed by women having a history of previous cesarean section (n=63, 69.2%). Sixteen women had prolonged /obstructed labor (n = 16, 17.58%). CONCLUSION: Pregnancy should be a positive experience for every woman of childbearing age. A better understanding of pregnancy-related conditions enables early detection of complications and prevents the conversion of mild to moderate maternal morbidity outcomes to severe maternal outcomes with long-term health implications or death. There are already effective measures in place to reduce maternal and newborn mortality and morbidity.