Search Results (84)

Background and Objectives: Preeclampsia (PE) complicates 2–8% of pregnancies globally, with a higher incidence in developing countries. This condition poses significant risks to maternal and fetal health, contributing substantially to maternal and perinatal mortality, particularly in cases of early-onset PE, which is associated with severe complications. This review aims to synthesize current evidence regarding the predictive utility of ophthalmic artery Doppler for preeclampsia. Current strategies focus on early prediction and prevention to mitigate adverse outcomes and reduce the economic burden of hypertensive disorders in pregnancy. The International Federation of Gynecology and Obstetrics (FIGO) recommends first-trimester screening combining maternal risk factors, mean arterial pressure, serum placental growth factor (PlGF), and uterine artery pulsatility index (UtA-PI). High-risk women are advised to take low-dose aspirin (150 mg daily) until 36 weeks of gestation. Materials and Methods: This review explores an innovative predictive tool for PE: ophthalmic artery (OA) Doppler. Results: As a non-invasive and easily accessible method, OA Doppler provides valuable insights into intracranial vascular resistance, offering potential advantages in early risk assessment, particularly for preterm PE, the most severe form of the disease. Conclusions: Our findings suggest that OA Doppler may serve as a promising adjunct in PE screening, enhancing the early identification of high-risk pregnancies and improving clinical outcomes. Further research is warranted to validate its role in routine prenatal care. Full article

Background: Over the past several decades, the prevalence of gestational diabetes mellitus (GDM) has risen markedly worldwide, posing serious threats to both maternal and child health by increasing adverse pregnancy outcomes and long-term metabolic risks. Developing effective risk prediction tools for early detection and intervention has become the most important clinical priority in this field. The current GDM prediction models primarily rely on non-modifiable factors, for example age and body mass index, while modifiable factors such as lifestyle and health literacy, although strongly associated with GDM, have not been fully utilized in risk assessment. This study sought to establish and validate a nomogram prediction model combining modifiable and non-modifiable risk factors, with the goal of identifying high-risk Chinese pregnant women with GDM at an early stage and promoting targeted prevention and personalized prenatal management. Methods: A multicenter study was conducted across 7 maternal health institutions in Southern China (2021–2023), enrolling 806 singleton pregnant women (14–23⁺⁶ weeks). The collected data included sociodemographic, clinical history, and modifiable factors collected through validated questionnaires: dietary quality, physical activity level, sleep quality, and nutrition and health literacy. GDM was diagnosed via 75 g oral glucose tolerance test at 24–28 weeks. Predictive factors were identified through multi-variable logistic regression. A nomogram model was developed (70% modeling group) and validated (30% validation group). Receiver operator characteristic curves, calibration curves, and decision curve analysis were used to evaluate the prediction ability, the degree of calibration, and the clinical benefit of the model, respectively. Results: The finalized risk prediction model included non-modifiable factors such as maternal age, pre-pregnancy weight, and maternal polycystic ovary syndrome, as well as modifiable factors including dietary quality, physical activity level, sleep quality, nutrition and health literacy. The application of the nomogram in the modeling group and the validation groups showed that the model had high stability, favorable predictive ability, good calibration effect and clinical practicality. Conclusions: Overall, the integrated model demonstrates significant clinical utility as it facilitates the prompt identification of individuals at heightened risk and offers actionable targets for personalized interventions. In terms of future implementation, this model can be integrated into prenatal care as a rapid scoring table during early pregnancy consultations or incorporated into mobile health applications. This approach fosters precise prevention strategies for GDM in maternal health by emphasizing nutrition and health literacy, supplemented by coordinated adjustments in diet, physical activity, and sleep. Full article

Background/Objectives: Timely initiation of antenatal care (ANC) services is crucial for ensuring maternal and fetal well-being. Despite the importance of ANC, research regarding its initiation remains limited in the Jazan region of Saudi Arabia, an area with notable adverse birth outcomes. Therefore, this study aimed to assess pregnant women’s initiation of ANC and identify associated factors and significant barriers for timely initiation. Methods: A cross-sectional study was conducted among 369 Saudi pregnant women in their third trimester attending ANC clinics in the Jazan region in 2024. A structured questionnaire was used to collect data. Andersen’s behavioral model of healthcare utilization provided the framework for the study. Descriptive statistics, chi-square tests, and binary logistic regression were used to analyze the data. Results: The majority of women (78.9%) initiated ANC in the first trimester. Higher maternal education was positively associated with early ANC initiation (aOR = 2.369, 95% CI: 1.154–4.901), whereas higher paternal education was negatively associated with early ANC initiation (aOR = 0.350, 95% CI: 0.175–0.699). When modeled independently, the positive association of higher maternal education was attenuated but was not significant, while the negative association of higher husband’s education remained the same. Those living more than three km from health facilities (aOR = 0.510, 95% CI: 0.276–0.941) and seeking care for reasons other than routine follow-up were less likely to initiate ANC early. Most women received essential services, but only 37.1% had ultrasound tests. Conclusions: While ANC initiation in Jazan showed promising trends, factors like geographical accessibility remain a significant barrier. Targeted interventions should address these identified barriers, which fall within predisposing, enabling, need, and external environmental factors. Further investigations of pregnant women’s familial decision-making and low ultrasound test utilization in relation to ANC are recommended. Full article

Introduction: Eliminating mother-to-child transmission (EMTCT) of HIV is a global health priority to ensure that no child is born with HIV. When EMTCT services are underutilized, mothers and babies face greater risks, including the vertical transmission of HIV and higher rates of maternal and neonatal mortality. Despite ongoing efforts, many women worldwide still struggle to access and use these vital services. Objective: This study sought to explore barriers and facilitators to the elimination of mother-to-child transmission services among pregnant and breastfeeding women (PBFW) in Gauteng province, South Africa. Methods: A qualitative, explorative, and descriptive research design was used. Convenience and purposive sampling were used to select participants. The study population consisted of PBFW aged 18 years or above who were utilizing EMTCT services. Data was collected through in-depth face-to-face individual interviews with participants. A semi-structured interview guide was used to collect data until data saturation was reached after interviewing 25 participants. Data were analyzed using thematic analysis (Tesch’s open coding method). Trustworthiness and ethical principles were ensured. Results: Four main themes emerged from the data analyzed, namely, barriers associated with EMTCT service utilization, facility-based strategies to improve EMTCT service uptake, community support for enhancing EMTCT engagement, and the role of partner support in service utilization, each with linked sub-themes. This study found that health education about EMTCT, along with community awareness and involvement, encourages the target group to utilize these services. Conclusions: Increasing women’s use of EMTCT services is an important step toward eliminating MTCT and increasing the health and well-being of mothers and their children. Addressing numerous barriers to receiving these services, as well as implementing targeted measures, can help ensure that all women gain access to the care and support that they require to safeguard their families from HIV. Full article

This article describes a case study of the partnership between Healthy Birth Initiatives, a community-based organization (CBO) and Black-led public health nurse home visiting program, and the maternal health division of the Providence Health System located in the Pacific Northwest. This study’s purpose was to explore the formation, significance, and impact of this partnership from the perspectives of staff and leadership members from both organizations. We conducted a case study through qualitative interviews with staff, participant observation, and debrief of leadership meetings. We completed a hybrid deductive–inductive thematic analysis of the data, followed by member checking with study participants and other key interest holders. Key facilitators of the CBO–health system partnership included the vital role of leaders in prioritizing the partnership; health system willingness to incorporate new information from the CBO to improve care; and health system utilization of resources to institutionalize changes that emerged from this partnership. Challenges to the CBO–health system partnership included CBO resource limitations; fragmented referral processes and information sharing; and the persistence required to nurture the relationship without formalized roles. This study contributes to the literature by offering staff perspectives on how a CBO–health system partnership formed, successes, early lessons learned, and practical suggestions for how to develop stronger alignment to provide culturally responsive patient-centered care to Black families. Full article

Background/Objectives: Using healthcare vouchers mitigates the financial burdens of low-income individuals, therefore enhancing mothers’ satisfaction and encouraging service utilization. In Yemen, reducing financial barriers results in marked improvement in reproductive health services utilization for mothers and their newborns. Such financial strain can be addressed through reproductive health vouchers, which reduce out-of-pocket expenses of family planning, pregnancy, birth, postnatal care and neonatal care. This study compares the Safe Motherhood and Family Planning Voucher Program in the Lahj governorate to the non-voucher program in the Abyan governorate in terms of enhancement of reproductive healthcare accessibility and use. Methods: This facility-based, quantitative, comparative, cross-sectional study was conducted in the Lahj governorate, which supports the Safe Motherhood and Family Planning Voucher Program, and the Abyan governorate, which does not. Results: The voucher-supported program has greatly improved mothers’ satisfaction, access, and use of all reproductive health services by covering transportation, covering lodging during hospitalization, and providing free reproductive treatments. Compared to Abyan mothers, Lahj governorate mothers more frequently used rental vehicles (paid for by the voucher program) and free reproductive health services (p-value < 0.001). Lahj governorate mothers (who used the vouchers) used family planning, prenatal care, facility-based delivery, home delivery by competent birth staff, cesarean section, postnatal care, and neonatal care more frequently than Abyan governorate mothers. A health institution which supported the Safe Motherhood and Family Planning Voucher Program (SMHFPVP) provided prenatal care (98.5%), competent birth services (99.0%), and modern contraceptive use (92.3%)—oral contraceptive pills, implants, injectables, contraceptive patches, vaginal rings, and intrauterine devices—for mothers who were interviewed and attended the targeted HFs in the Lahj governorate, compared with (77.6%), (80.3%), and (67.8%), respectively, for mothers in Abyan governorate who were not supported by the SMHFPVP. This study demonstrates substantially higher satisfaction levels among voucher-using mothers in the Lahj governorate compared to those in the Abyan governorate, across all satisfaction domains and overall satisfaction scores. Conclusions: This study found that women without access to maternal health vouchers experienced worse prenatal, natal, and postnatal care and were less satisfied with healthcare services compared with women who used vouchers. Full article

Background/Objectives: Smoking during pregnancy endangers maternal and infant health outcomes, posing significant risks such as preterm birth and developmental complications. Applying the Three Delays Framework, this study examines how smoking behaviors impact maternal health in Alabama, focusing on barriers to prenatal care. Methods: This cross-sectional study utilized PRAMS Phase 8 data collected from 2016 to 2021, comprising 533 observations from the Alabama Department of Public Health. Prenatal care barriers were categorized into three domains: seeking, reaching, and receiving care. Analyses included descriptive statistics, hierarchical clustering of barrier items, derivation of an informational barrier latent score using item-response theory (θ_info), and multivariable logistic regression adjusted for age, race/ethnicity, income, and BMI. Results: Multivariable logistic regression analysis revealed that informational barriers (OR = 2.42, p < 0.001) and system-level barriers (OR = 1.77, p = 0.047) were significant predictors of adverse maternal health outcomes. In the baseline model, which included sociodemographic covariates, prenatal smoking was not significantly associated with poor maternal health (OR = 0.83, 95% CI [0.58, 1.17]). After adjusting for informational, structural, and system barriers, the association further attenuated and remained non-significant (adjusted OR = 0.72, 95% CI [0.50, 1.03]). Conclusions: While smoking during pregnancy remains a modifiable health behavior, informational and system barriers emerged as the more immediate determinants of poor maternal outcomes in this cohort. Addressing these barriers through targeted prenatal education initiatives and system-level improvements can enhance care utilization and improve maternal and infant health outcomes, even among pregnant smokers. Full article

Despite ongoing efforts to reduce maternal mortality in Nigeria, the uptake of skilled birth attendance remains persistently low, especially in rural areas. While structural and socio–demographic barriers have been widely studied, less attention has been paid to psychological determinants of maternal healthcare-seeking behavior in low-resource settings. This study explores how the locus of control influences the use of skilled birth care among postpartum women in rural Edo State, Nigeria, and whether neuroticism serves as a mediating factor in this relationship. We draw on data from a cross-sectional survey involving 1411 women aged 15–45 who had given birth within the two years preceding the study. Participants were recruited from 20 randomly selected communities across two rural Local Government Areas. Data were collected using structured interviews that included validated measures of locus of control, neuroticism, and self-reported use of skilled birth care. We applied the Baron and Kenny mediation framework using linear and logistic regression models with standardized coefficients, adjusting for education, household wealth, and women’s decision-making autonomy. The findings show that women with a more external locus of control were significantly less likely to utilize skilled birth care (p < 0.01), and that neuroticism partially mediated this effect. Higher levels of neuroticism were associated with a reduced likelihood of engaging with skilled maternity care services. These results highlight the importance of psychological traits in shaping maternal health behaviors. Integrating psychosocial interventions, such as emotional support, cognitive reframing, and community health education, into maternal healthcare programs may improve service uptake in marginalized rural populations. Full article

Syndromic surveillance has evolved into a vital public health tool, providing near real-time data to detect and respond to health threats. While states administer syndromic surveillance systems, Tribal Epidemiology Centers (TECs) serve American Indian and Alaska Native (AIAN) communities across multistate regions, often encountering significant barriers to data access and utilization. This manuscript explores how TECs access and use syndromic surveillance data to address health disparities in AIAN populations, highlighting successes, innovations, and ongoing challenges. The Alaska Native Epidemiology Center (ANEC), Great Plains Tribal Epidemiology Center (GPTEC), and Northwest Tribal Epidemiology Center (NWTEC) provide insights into their syndromic surveillance practices. This includes data access methods, the creation of dashboards and reports, technical assistance for Tribal Health Organizations (THOs), and strategies for overcoming jurisdictional and data-sharing barriers. TECs have successfully leveraged syndromic surveillance to monitor critical health issues, including respiratory illnesses, substance misuse, behavioral health, and maternal care. Collaborative efforts have addressed race misclassification and data gaps, enabling targeted interventions such as air purifier distribution and improving health care delivery for tribal veterans. However, TECs can face restrictive data use agreements, jurisdictional misalignments, and limited access to granular data, hindering their ability to serve AIAN communities comprehensively. Syndromic surveillance offers transformative potential for improving public health in AIAN communities. To fully realize this potential, systemic changes are needed to streamline data-sharing agreements and improve data accuracy. These efforts, along with strong collaborations between TECs and state health departments, are critical to advancing health equity, respecting tribal sovereignty, and ensuring timely, actionable insights for AIAN populations. Full article

Objective: This study aimed to provide pooled predictors of ANC (antenatal care) service use among women of reproductive age in Ethiopia. Methods: Studies were systematically searched using PubMed, Medline, CINAHL, EMBASE, and Google Scholar. The Newcastle–Ottawa scale (NOS) tool was utilized for quality assessment (risk of bias). All data analyses were conducted by utilizing Stata version 17. A random-effects model was used to obtain the pooled predictors of ANC use. The publication bias was checked using a funnel plot and Egger’s regression test. Results: Twenty-two studies with a sample size of 25,671 were included in this review. The identified predictors of ANC service use were highest wealth rank (AOR 1.92 [95% CI: 1.53–2.31]), formal women education (AOR 2.40 [95% CI: 1.75–3.06]), formal husband education (AOR 1.49 [95% CI: 1.36–1.66]), women age ≥ 20 (AOR 1.75 [95% CI: 1.47–2.17]), mass media exposure (AOR 1.44 [95% CI: 1.21–1.66]), good maternal knowledge about the pregnancy complication (AOR 1.49 [95% CI: 1.11–1.88]), planned pregnancy (AOR 1.59 [95% CI: 1.28–1.91]), women autonomy (AOR 1.42 [95% CI: 1.23–1.62]), and positive husband attitude about the ANC service use (AOR 2.63 [95% CI: 1.47–3.79]). Conclusions: Several predictors have increased the ANC service utilization, like wealth status, women’s and their husbands’ education, older/increasing women’s age, media exposure, maternal knowledge about pregnancy complications, planned pregnancy, women’s autonomy to decide on household health care, and positive husband attitude about the ANC service utilization. Full article

Objective. Women with intellectual or developmental disabilities (IDDs) experience poorer prenatal care and worse perinatal health and birth outcomes than the general population. The purpose of this study is to describe the maternal characteristics and to identify factors associated with the increased risk of adverse birth outcomes among women with an IDD. Methods. Electronic medical records and the Utah Population Database were used to identify demographic and medical characteristics of pregnant individuals between 14 and 45 years old with an IDD and the related birth outcomes. Random-effects logistic regression was used to identify factors that were associated with adverse birth outcomes. Results. A total of 5147 births by 2250 mothers with an IDD (average births per mother = 2.33) were identified. Multigestational pregnancy (twins or triplets) (OR = 32.85, p < 0.01), fewer prenatal care visits (OR = 3.01, <0.01), gestational hypertension (OR = 2.74, p < 0.01), and the presence of a mental illness (OR = 1.28, p = 0.01) had an increased risk for preterm delivery. Associated low birth weight factors included multigestational pregnancy (OR = 22.82, p < 0.01), gestational hypertension (OR = 3.23, p < 0.01), maternal smoking status (OR = 1.54, p < 0.01), fewer prenatal visits (OR = 2.91, p < 0.01), and maternal mental health disorder (OR = 1.66, p < 0.01). Cesarean deliveries were associated with gestational hypertension (OR = 2.33, p < 0.01), Medicaid coverage (OR = 1.76, p < 0.01), and gestational diabetes (OR = 1.42, p < 0.01). Neonatal intensive care unit (NICU) admission was associated with increasing maternal age, multigestational pregnancy, the number of prenatal care visits, hypertension, and maternal mental disorders. Conclusions. These results suggest that sociodemographic factors and health problems put women with an IDD at a higher risk of adverse pregnancy and infant outcomes. Appropriate clinical care and social supports should be utilized to optimize the health and outcomes of this population. Full article

With the increasing prevalence of diabetes and its growing impact on maternal and fetal health, management during pregnancy has become critical. This review describes the pathophysiology of insulin resistance during pregnancy, adverse outcomes correlated with diabetic pregnancies, and current management strategies. We investigate two leading approaches to managing pregnant patients with diabetes—lifestyle intervention and drug treatment. Lifestyle intervention, including dietary counseling, exercise regimens, patient education, and self-administered blood glucose monitoring, has demonstrated promising results in the management and prevention of gestational diabetes mellitus (GDM). Early intervention and treatment of at-risk patients have been critical for positive outcomes. Drug treatment, focusing on the utilization of insulin, insulin analogs, and antihyperglycemic agents has shown efficacy in achieving glycemic control and improving maternal and neonatal outcomes. These findings indicate that a combination of early lifestyle intervention and targeted drug treatment yields the most benefit in managing diabetes in pregnancy. To augment treatment, continuous glucose monitoring and telemedicine have become valuable tools in managing diabetes during pregnancy. Future research should aim to develop more effective antihyperglycemic agents, improve telehealth accessibility, and enhance preconception care for women at risk of developing GDM. By addressing these areas, we can significantly reduce the adverse outcomes associated with diabetes in pregnancy and improve overall maternal and fetal health. Full article

Background: Severe maternal morbidity (SMM) is increasing in the United States. The main objective of this study is to test the use of machine learning (ML) techniques to develop models for predicting SMM during delivery hospitalizations in Maryland. Secondarily, we examine disparities in SMM by key sociodemographic characteristics. Methods: We used the linked State Inpatient Database (SID) and the American Hospital Association (AHA) Annual Survey data from Maryland for 2016–2019 (N = 261,226 delivery hospitalizations). We first estimated relative risks for SMM across key sociodemographic factors (e.g., race, income, insurance, and primary language). Then, we fitted LASSO and, for comparison, Logit models with 75 and 18 features. The selection of SMM features was based on clinical expert opinion, a literature review, statistical significance, and computational resource constraints. Various model performance metrics, including the area under the receiver operating characteristic curve (AUC), accuracy, precision, and recall values were computed to compare predictive performance. Results: During 2016–2019, 76 per 10,000 deliveries (1976 of 261,226) were in patients who experienced an SMM event. The Logit model with a full list of 75 features achieved an AUC of 0.71 in the validation dataset, which marginally decreased to 0.69 in the reduced model with 18 features. The LASSO algorithm with the same 18 features demonstrated slightly superior predictive performance and an AUC of 0.80. We found significant disparities in SMM among patients living in low-income areas, with public insurance, and who were non-Hispanic Black or non-English speakers. Conclusion: Our results demonstrate the feasibility of utilizing ML and administrative hospital discharge data for SMM prediction. The low recall score is a limitation across all models we compared, signifying that the algorithms struggle with identifying all SMM cases. This study identified substantial disparities in SMM across various sociodemographic factors. Addressing these disparities requires multifaceted interventions that include improving access to quality care, enhancing cultural competence among healthcare providers, and implementing policies that help mitigate social determinants of health. Full article

Background/Objectives: Recent research has focused on the study of the epigenetic role of nutrition as a tool which is expected to introduce new perspectives in the field of disease prevention and management. Although maternal nutrition is one of the best-studied mechanisms of epigenetic modifications of the fetus/newborn, less is known on the impact of childhood/adolescent nutrition on the regulation of epigenetic mecha-nisms after the first year of life. The aim of the present study was the assessment of the epigenetic role of nutrition in the health and development of children and adolescents. Methods: A systematic review was performed according to the Preferred Reported Items for Systematic Reviews and Meta-analyses guidelines in five databases (PubMed, Cochrane, Science Direct, Scopus, and Google Scholar) up to 31 October 2024, which yielded 17 eligible studies. The Newcastle–Ottawa Scale and the Cochrane Collabora-tion Risk of Bias-2 tool were used for the evaluation of risk of bias in observational studies and randomized trials, respectively. Results: Three studies investigated the epi-genetic modifications due to lifestyle interventions combining changes both in diet and physical activity; the remaining 14 studies examined the role of dietary nutrients in the regulation of epigenetic mechanisms in various health conditions, such as Angelman’s syndrome, parenteral nutrition in Intensive Care Units, attention deficit hyperactivity disorder, risk of cardiovascular diseases, asthma or food sensitization, obesity, insulin resistance, and type 2 diabetes or evaluated epigenetic markers as new tools for the comprehension and prediction of the participants’ response to nutritional interven-tions. Conclusions: The important impact of diet on the regulation of epigenetic mech-anisms and the expression of various genes and gene pathways could be utilized for personalized nutritional interventions in various pediatric health conditions. Full article

Background/Objective: The utilization of maternal health services at the primary healthcare level is still considered an effective approach despite the critical role in improving maternal health outcomes. The study aimed to assess the influence of sociodemographic characteristics and interpersonal support on the use of maternal health services in three regions of the Province of Jambi, Indonesia. Methods: Using a mixed-methods sequential explanatory design, a quantitative survey of 432 women and qualitative focus group discussions with nine families were conducted. Quantitative data were analyzed using bivariate analysis, while the qualitative data were examined through conventional content analysis. Results: The research results show no significant association between sociodemographic factors (education, employment, residence) and the use of maternal health services for antenatal care and delivery. Direct support, such as accompaniment by spouses, and indirect support, including emotional encouragement and shared knowledge, were pivotal in influencing women’s decisions to seek care. Conclusions: Targeted interventions focusing on improving social support, addressing service accessibility barriers, and raising awareness about the benefits of community health centers are essential to enhancing maternal health outcomes. Policymakers and healthcare providers should integrate family-centered strategies to ensure women receive adequate maternal healthcare. Full article