Journal of Global Health

Dropout from essential maternal health services across pregnancy, childbirth, and the postnatal period remains a major barrier to improving maternal and neonatal outcomes in Bangladesh. This study examined stage-specific dropout patterns along the maternal continuum of care and identified factors associated with discontinuation. We analysed nationally representative data from the Bangladesh Demographic and Health Survey 2022 for 5,162 women with a recent live birth. Dropout from antenatal care, skilled birth attendance, and postnatal care was examined using multivariable logistic regression to estimate adjusted odds ratios and 95% confidence intervals, with comparisons to BDHS 2017-18 and assessment of regional variation. Only 44% of women received four or more antenatal care visits. Of these, 33% delivered with a skilled birth attendant, and among those receiving both antenatal care and skilled delivery, only 15% received postnatal care within 48 hours. Overall, 57% dropped out before completing adequate antenatal care, with additional dropouts between antenatal care and delivery (10%) and between delivery and postnatal care (18%). Compared with 2017-18, overall dropout from the maternal continuum of care more than doubled in 2022 (5.0% to 11.7%), driven by increased antenatal care dropout, while skilled birth attendance dropout declined and postnatal care dropout increased slightly. Higher maternal education, household wealth, media exposure, and womens decision-making power were consistently associated with lower odds of dropout, whereas higher birth order increased dropout risk. Substantial regional variation was observed, with the highest overall dropout in Sylhet and the lowest in Khulna. High dropout from the maternal continuum of care in Bangladesh occurs predominantly at the antenatal care stage and is shaped by socioeconomic status, birth order, womens access to information, and regional disparities. Strengthening early antenatal engagement and womens decision-making autonomy is critical to improving continuity of maternal care and reducing preventable maternal and neonatal risks.

Background Caesarean section (CS) rates in Bangladesh have increased rapidly in recent decades. This increase raises concerns about unnecessary procedures and their potential impacts on maternal health. Womens knowledge and positive attitudes toward CS influence delivery preferences and decisions, yet these aspects remain underexplored in Bangladesh. Objectives To assess knowledge and positive attitudes toward CS and to identify factors associated with knowledge and positive attitudes among married women in Bangladesh. Methods The study utilized a cross-sectional sample of married women of reproductive age. A structured questionnaire was used in face-to-face interviews to collect data covering socio-demographic information, obstetric experiences, knowledge, and positive attitudes toward CS. Descriptive statistics, independent sample t-tests, and multiple linear regression analysis were performed to identify factors. Results This study showed that knowledge was lower among rural than urban women; lower among women with a previous CS than those without, and higher among women from husband-headed households. Additionally, respondents without an income source had higher knowledge than those with an income. Regarding attitudes, higher monthly family income was associated with more positive attitudes, while larger family size was associated with lower positive attitudes. Women in husband-headed households had more positive attitudes than those in other-headed households, and women with previous CS had lower positive attitudes. Importantly, higher knowledge scores were strongly associated with more positive attitudes toward CS. Conclusion Strengthening antenatal care, including health, educational, and counselling services, particularly for rural women, larger families, husband-headed households, and women with prior CS, could improve knowledge and promote informed, positive attitudes toward appropriate CS use. Policies and programs should prioritize rural outreach, improve provider-patient communication (especially after a CS), and ensure high-quality counselling, informed consent, and male-inclusive antenatal sessions to support the appropriate use of CS.

Background: Nigeria bears one of the highest maternal mortality burdens globally, with skilled birth attendance (SBA) remaining critically low in many regions. Understanding the independent determinants of SBA is essential for designing targeted interventions. Methods: This cross sectional study analyzed 21,465 births from the 2018 Nigeria Demographic and Health Survey (NDHS), a nationally representative household survey using stratified two stage cluster sampling. SBA was defined as delivery attended by a doctor, nurse, midwife, or auxiliary midwife. Multivariable logistic regression was used to estimate adjusted odds ratios (aOR) with 95% confidence intervals for the associations between SBA and maternal education, household wealth, place of residence, geopolitical region, maternal age, parity, and antenatal care (ANC) utilization, after accounting for confounding. Results: The overall prevalence of SBA was 44.9%. In the fully adjusted model, higher education (aOR = 7.01, 95% CI: 5.68-8.67), richest wealth quintile (aOR = 6.27, 95% CI: 5.27-7.46), and attending [≥]4 ANC visits (aOR = 3.80, 95% CI: 3.51-4.11) were the strongest independent predictors of SBA. Regional inequalities were pronounced, with SBA prevalence ranging from 17.7% in the North West to 85.6% in the South West. Crude effect estimates for education and wealth were substantially attenuated after adjustment, indicating large confounding by correlated socioeconomic factors. Conclusions: Maternal education, household wealth, ANC utilization, and geopolitical region are independent determinants of SBA in Nigeria. Scaling up ANC programs represents the most immediately actionable intervention, while long term gains require investment in girls' education and wealth equity. Targeted strategies for the northern regions are urgently needed. Keywords: skilled birth attendance, maternal mortality, Nigeria, DHS, antenatal care, logistic regression, health equity

Background Ghana introduced the National Health Insurance Scheme (NHIS) in 2003 and the Free Maternal Healthcare Policy (FMHCP) in 2008 to remove financial barriers and promote universal health coverage. Despite these landmark policies, socioeconomic inequalities in maternal healthcare utilisation may persist. This study quantifies socioeconomic inequalities in antenatal care (ANC) receipt and place of delivery and decomposes the key drivers of inequality using the most recent nationally representative survey data. Methods We analysed the 2022 Ghana Demographic and Health Survey women's file, restricting to women who reported a live birth in the five years preceding the survey (n = 5,134; weighted population {approx} 4.66 million). Outcome variables were adequate ANC ([&ge;]4 visits, and [&ge;]8 visits in sensitivity analysis) and place of delivery (home, public facility, private facility). The concentration index (CI) was computed for adequate ANC, and the Wagstaff decomposition method was applied to quantify the contribution of wealth, education, residence, NHIS membership, and access barriers. Multinomial logistic regression examined factors associated with place of delivery. Missing data were handled using multiple imputation by chained equations (20 datasets). All analyses accounted for the complex survey design. Results Overall, 88.6% (95% CI: 87.0-90.2%) of women achieved [&ge;]4 ANC visits. The concentration index for adequate ANC was 0.0391 (95% CI: 0.0291-0.0491; p < 0.001), indicating statistically significant pro-rich inequality. Using the WHO threshold of [&ge;]8 visits, the CI increased more than fourfold to 0.1728 (95% CI: 0.1428-0.2028). Home delivery was most prevalent among the poorest women (46.7%), while private facility delivery dominated among the richest (46.1%). Decomposition showed that rural residence (16.4%), NHIS membership (16.4%), and geographical region (15.6%) were the largest positive contributors to pro-rich inequality, whereas secondary education exerted the strongest equalising effect (-22.5%). NHIS membership was associated with lower odds of home delivery (RRR = 0.24, 95% CI: 0.18-0.32) but did not eliminate the wealth gradient. Together, included determinants explained 71.3% of total inequality. Conclusions Despite high coverage of basic ANC, substantial and policy-relevant socioeconomic inequalities persist in maternal healthcare utilisation in Ghana. Inequalities widen markedly when the stricter WHO standard is applied. Educational attainment and rural residence are primary drivers; NHIS alone is insufficient to achieve equity. Policies should address non-financial barriers, strengthen rural health infrastructure, invest in public facility quality, and promote girls' secondary education to reduce persistent maternal health disparities.

BackgroundAccess to safe, equitable, and affordable surgical and anesthesia care is critical to reducing the burden of surgical diseases in Africa. To understand the state of access in South Sudan, we conducted a baseline assessment of surgical services in Central Equatoria State (CES) in May 2024. ObjectivesThis study aimed to survey public healthcare facilities in CES capable of providing essential surgical services. We used the capacity to perform cesarean section, laparotomy, and open fracture management--Bellwether procedures--as a proxy for assessing workforce, infrastructure, financing, information management, and service delivery. MethodsWe used a validated and contextualized Surgical Assessment Tool developed by the Harvard Program on Global Surgery and Social Change and the World Health Organization. Data were collected at the facility level and summarized descriptively using percentages, means (standard deviations), medians (minimum, maximum), and visualized in graphs, charts, and tables. ResultsAll three public health facilities assessed could perform Bellwether procedures for their catchment populations. However, workforce availability, financing, and surgical infrastructure were major constraints. The surgical workforce density was 2.27 surgical, anesthesia, and obstetric specialists per 100,000 population. Specialized procedures--such as repair of cleft lip and palate, clubfoot, and hydrocephalus shunt--were unavailable at all sites. None had magnetic resonance imaging (MRI) machines. The total average annual facility budget was $918,850, ranging from $3,960 to $800,000 at the teaching hospital--insufficient for proper operations. ConclusionWhile Bellwether procedures are routinely performed, access to quality and affordable care is compromised by deficits in workforce, financing, and infrastructure. We recommend that the Ministry of Health scale this survey nationally and develop a surgical policy and strategic plan focused on improving infrastructure, workforce, and financing for surgical and anesthesia care in South Sudan.

Estimates of the marginal cost per disability-adjusted life year (DALY) averted from government health expenditure (GHE) provide an empirical basis for allocating scarce health resources to maximise population health. Existing cross-country estimates have informed priority setting in several countries and international policy discussions but are based on data that are now more than a decade old. Since then, patterns of health expenditure, disease burden, and global health financing have changed substantially. This paper provides updated estimates of the marginal cost per DALY averted for 92 low- and middle-income countries (LMIC) by applying previously estimated elasticities of the effect of GHE on health outcomes from Ochalek et al. (2018) to recent data on mortality, morbidity, population structure, and GHE. Two policy options for improving health in LMIC are assessed: (1) the implications of countries allocating 15% of general government expenditure to health consistent with the Abuja Declaration; and (2) reallocating development assistance for health (DAH) to maximise health across countries. Scenario analyses use the estimated elasticities to reflect diminishing marginal returns to health expenditure when calculating the health gains associated with additional resources. Updated estimates of the marginal costs per DALY averted range from approximately $78 to $15,789 across countries. In most countries (72%), estimates are higher than in the previous analysis, largely reflecting increases in GHE. Increasing domestic expenditure to achieve the Abuja Declaration objective would avert 234 million DALYs but require $563 billion across countries. Reallocating $39.1 billion in existing DAH could avert 133.6 million DALYs. Updated estimates provide an empirical basis for informing both domestic priority setting and the allocation of international health financing. Aligning donor funding with country-specific opportunity costs could substantially increase the global health gains achieved with limited resources.

PurposeTo characterize maternal transport patterns in Iowa, a state with levels of maternal care and without formal perinatal regions, and assess whether transport decisions reflect efficient, risk-appropriate coordination. MethodsWe analyzed 2010-2023 Iowa birth records, which included 2,251 maternal transports between obstetric facilities across 106 unique routes. We characterized transport patterns and applied a community detection algorithm to identify "communities" of obstetric facilities that disproportionately transport among themselves. FindingsSuburban and rural counties have elevated transport rates compared to urban counties. 2,189 transports (97%) were from lower-to higher-level facilities. Among these, 2,037 (93%) were to Level III tertiary care centers. 567 transports (25.2%) bypassed a closer facility offering an equivalent or higher level of care than its destination facility. Health system affiliation was associated with bypassing transport, indicating potential organizational rather than purely geographic drivers of transport decisions. Three "communities" of obstetric facilities largely shaped by geographic proximity were identified. ConclusionsAlthough Iowa does not have formal perinatal regions, patterns of maternal transport are mostly in line with three de facto regions. Some potential inefficiencies were identified, such as obstetric facilities transporting to a farther facility when a closer facility offered the same level of care or higher. These findings may help identify opportunities to enhance care coordination among obstetric facilities, optimize maternal transport networks, and improve regionalization of maternal care.

Background: The COVID-19 pandemic disrupted childhood immunization programmes in many countries worldwide. However, evidence on its impact in low and middle-income countries remains limited. This study examined the impact of the COVID-19 pandemic on childhood immunization coverage across 514 districts in Indonesia and identified district-level associated factors. Methods: We conducted a nationwide longitudinal analysis of the Expanded Programme on Immunization to compare immunization coverage before and after the pandemic. The outcome variable was the annual childhood immunization coverage (proportion of children aged 0-12 months who have received all recommended doses of childhood immunization as per the national immunization schedule). The explanatory variables include COVID-19 burden and vaccination rates, health system and human development indicators. Mixed-effect logistic regression was done to assess association between the explanatory and outcome variables. Results: At the national level, the coverage was 83.2% in pre-pandemic, 75.0% in the first year of pandemic, and 88.6%, in the second. In the first year, 69.3% of districts experienced significant decline, with a lower national coverage ratio of 0.92 (95% confidence interval 0.89-0.94). In the second year, 36.2% districts were still affected. The multivariable analysis showed that a significant decline in coverage during the first pandemic year was associated with high COVID-19 incidence (adjusted odds ratio 2.19, 95%CI 1.01-4.73 for the highest vs. lowest group), low midwife adequacy (5.84, 2.40-14.16 for the lowest vs. the highest group, 2.61, 1.26-5.40 for low-middle vs. the highest group), and a high proportion of health facility-based births (2.98, 1.49-5.98 for middle-high vs. the lowest group). Conclusions: The COVID-19 pandemic negatively and unevenly impacted childhood immunization in Indonesia, with greatest impacts in districts facing a higher COVID-19 burden and weaker health system capacity. These findings underscore the need for targeted efforts to strengthen the local health system for future health crises. Keywords: COVID-19, pandemic, immunization, vaccine preventable diseases

Background Non communicable diseases (NCDs) are significant public health concerns in Bangladesh, placing a heavy burden on the healthcare system. While the situation before COVID-19 was well-documented, it is unclear how the pandemic has impacted the prevalence and risk factors of these diseases. This study provides the first comparative assessment of the prevalence and determinants of diabetes mellitus (DM) and hypertension (HTN) before and after the pandemic, utilizing comprehensive multilevel data source and mixed-effects modeling to capture the shifting epidemiological burden. Methods We analyzed biomarker data from two nationally representative Bangladesh Demographic and Health Surveys (BDHS) 2017-18 and 2022. Diagnosis followed WHO guidelines for fasting blood glucose and blood pressure. Mixed-effect logistic regression models were employed to identify risk factors while accounting for the hierarchical survey design. The Intra-class Correlation Coefficient (ICC) was calculated to quantify the proportion of variance attributable to unobserved community-level heterogeneity. Results The study indicates a profound shift in the national burden of NCDs. Diabetes prevalence more than doubled, from 23% in 2017-18 to 49% in 2022, while hypertension prevalence declined from 22% to 15%, a pattern that may reflect survival bias among individuals with severe comorbidities. The previously strong bidirectional association between DM and HTN weakened in the post pandemic period, hypertension continued to predict diabetes (AOR = 1.17), but diabetes was no longer a significant predictor of hypertension. Community-level determinants became substantially more influential, with local environmental factors playing a much larger role in shaping diabetes prevalence compared to the pre-pandemic period. Urban residence emerged as a significant new risk factor for diabetes in 2022 (AOR = 1.62; 95% CI: 1.34-1.96). Furthermore, the socioeconomic gap in diabetes risk narrowed as the disease affected more wealth groups, while higher educational attainment continued to serve as a protective factor against hypertension (AOR = 0.64; 95% CI: 0.54-0.75). Conclusion The post pandemic landscape of NCDs in Bangladesh shows a clear divergence, marked by a rapid increase in diabetes contrasted with a stabilization in hypertension prevalence. Through comparative mixed effects modeling, this study advances beyond simple prevalence comparisons to demonstrate the growing impact of urban environments and community level factors on metabolic health. These evolving patterns underscore the need for integrated public health strategies that address emerging environmental risks and geographically specific vulnerabilities to support progress toward Sustainable Development Goal Target3.4. Keywords: Bangladesh, BDHS, Community-level variability, COVID 19, Diabetes mellitus, Hypertension, Mixed-effects modeling, Non-communicable diseases, Public health

Background: Many children under five die post hospital discharge in low-and middle-income countries (LMICs), particularly after treatment for severe infections. While some models exist, evidence on risk prediction for post-discharge mortality remains limited, with most relying solely on admission characteristics, overlooking in-hospital disease progression and discharge features. Methods: We used secondary data from prospective cohort studies in six Ugandan hospitals (2012-2021) to update models at discharge. Of 8,810 children included, 3,665 were aged <6 months and 5,145 were aged 6-60 months. Models were developed utilizing an elastic net regression approach, with admission variables selected a priori and discharge variables selected based on variable importance ranking. Performance was evaluated by applying 10-fold cross-validation, area under the receiver operating characteristic curve (AUROC), Brier score, and Net Reclassification Index (NRI). Results: Models augmented with discharge characteristics outperformed admission-only models. For children aged <6 months, the model AUROC improved by 5.1% (95% CI 3.0 - 7.3, P<0.001), achieving an AUROC of 0.81 and a Brier score of 0.06. In the 6-60m cohort, the model AUROC increased by 4.4% (95% CI 2.0 - 6.9, P<0.001), with an AUROC of 0.79 and a Brier score of 0.04. The NRI was 10.41% for children <6 months and 14.51% for those 6-60m and was achieved primarily through a reduction of false positive rates. Conclusion: Adding only three discharge characteristics to the post-discharge mortality model based on admission characteristics enhanced prediction accuracy, including model calibration, discrimination and risk stratification compared to admission-only models. Keywords: Post-discharge mortality, Risk prediction model, Elastic Net regression, Low-and middle-income countries, Child mortality, Critical illness.

BackgroundAdequate maternal nutritional knowledge is essential for healthy pregnancy outcomes, yet many pregnant women lack good nutritional knowledge. This study assessed nutritional knowledge and associated factors among pregnant women in the Krowor Municipality of Ghana. MethodsA facility-based cross-sectional study was conducted among pregnant women attending antenatal clinics in two public health facilities. Structured questionnaires were used to collect data on sociodemographic characteristics and nutritional knowledge. Data were analysed using descriptive statistics and chi-square tests at a 5% significance level. ResultsMost respondents demonstrated moderate nutritional knowledge (mean score =11.24 {+/-} 2.48), with 45% classified as having moderate knowledge. Income level (p = 0.00), education (p = 0.007), gestational age (p = 0.042), employment status (p = 0.007), and religion (p = 0.005) were significantly associated with nutritional knowledge. ConclusionThe study highlights notable gaps in nutritional knowledge among pregnant women in Krowor Municipality. Socioeconomic and obstetric factors strongly influenced nutritional knowledge. Strengthening antenatal nutrition counselling and improving socioeconomic support may help improve the nutritional knowledge of pregnant women.

BackgroundProspective studies of pregnant adolescents are essencial to effectively address this global health priority. They help answer vital questions about their health, but such studies are uncommon due to the difficulty in retaining adolescents. This paper describes the successes and challenges of the research strategies used to ensure sufficient recruitment and retention of pregnant adolescents in a longitudinal study about adolescent childbearing in an under-resourced setting. MethodsThe Adolescence and Motherhood Research project was conducted in a rural region of Northeast Brazil in 2017-2019 and assessed 50 primigravids between 13-18 years (adolescents) and 50 primigravids between 23-28 years (young adults) during the first 16 weeks of pregnancy with two follow-ups (third trimester of pregnancy, and 4-6 weeks postpartum). Recruitment strategies involved engagement of health sector and community, as well as referrals from health care professionals and dissemination of the project in different locations. Retention strategies included maintaining contact with the participants between assessments and providing transportation for them to attend the follow-up procedures. ResultsRecruitment took 10 months to complete. A total of 78% of the participants were recruited from the primary health care units, mainly after referral from a health care provider. Retention reached 95% of the sample throughout the study (90%: adolescents; 98%: adults). ConclusionA combination of approaches is necessary to successfully recruit and retain youth in longitudinal studies and engaging local stakeholders may help to increase community-perceived legitimacy of the research. Working closely with front-line staff is essential when conducting research in rural low-income communities.

Introduction: Minimum dietary diversity (MDD) is a key indicator of complementary feeding among children aged 6-23 months. This study examines the prevalence, trends, and determinants of MDD in Bangladesh over the period 2014 - 2022. Design: Secondary analysis of the Bangladesh Demographic and Health Survey (BDHS) data between 2014 and 2022. The primary outcome was MDD defined as consumption of at least 5 of 8 food groups (MDD-8). We included 6,080 children aged 6-23 months to assess trends over time. The pooled datasets were used to identify factors associated with MDD-8. Multiple logistic regression was performed to assess the association between different factors and MDD-8, accounting for the complex survey design. Setting: Bangladesh Results: The proportion of children achieving MDD-8 increased from 26.4% in 2014 to 38.7% in 2017, but plateaued at 37.1% in 2022, with an average annual increase of 4.3% between 2014 and 2022. MDD-8 improved with child age. Higher odds of achieving MDD-8 were observed among children surveyed in later years, from wealthier households, with mothers who had >=4 ANC visits, received PNC, had higher education, were employed, and had media exposure. Older age and higher birth order were also associated with achieving adequate MDD. Children in Chattogram and Sylhet were less likely to meet MDD-8 compared to Dhaka. Conclusions: While dietary diversity improved between 2014 and 2017, progress stalled thereafter. Targeted, multisectoral strategies focusing on womens empowerment, health service utilisation, media engagement, and disadvantaged regions are needed to improve child dietary diversity in Bangladesh.

Objective To analyse sociodemographic determinants of maternal health indicators in Kenyas conflict-affected regions. Methods A cross-sectional secondary analysis of the 2022 Kenya Demographic and Health Survey (KDHS) was conducted. Conflict-affected counties were identified using ACLED (>25 fatalities). The sample included 1,060 women aged 15-49 years. Outcomes were adequate antenatal care (ANC 4+), facility delivery, and skilled birth attendance (SBA). Predictors included age, education, wealth, employment, residence, and county; intimate partner violence was adjusted for. Weighted descriptive statistics, chi-square tests, and multivariable logistic regression were applied (p<0.05). Results Six counties met conflict criteria. While 90.2% of women attended at least one ANC visit, only 53.5% achieved ANC 4+. Facility delivery and SBA were 68.2% and 72.2%, respectively. Adolescents (15-19) were least likely to attain adequate ANC; women aged 20-24 had higher odds (aOR=1.83; 95% CI: 1.01-3.34). Education strongly predicted outcomes: higher education increased ANC 4+ (aOR=2.74; 95% CI: 1.19-6.34) and facility delivery (aOR=2.72; 95% CI: 1.15-6.47). Wealth showed strong gradients: middle quintile increased facility delivery (aOR=5.50; 95% CI: 2.14-14.14), while richer quintile increased SBA (aOR=11.04; 95% CI: 2.06-59.25). Rural residence reduced facility delivery (aOR=0.32) and SBA (aOR=0.22). County disparities persisted. IPV was not independently associated. Conclusion Maternal health indicators in conflict-affected Kenya follow a marked inequity gradient. Adolescents, rural residents, and socioeconomically disadvantaged women are most excluded. Strengthening adolescent ANC continuity, reducing rural access barriers, and investing in education and economic empowerment are critical for improving outcomes.

BackgroundCurable sexually transmitted infections (STIs), including Chlamydia trachomatis, Neisseria gonorrhoeae, and Trichomonas vaginalis, remain highly prevalent among pregnant women in South Africa. Despite poor diagnostic performance in pregnancy, syndromic management remains standard care. Point-of-care (POC) screening enables aetiological diagnosis and same-visit treatment but is not yet included in national guidelines. We conducted a mixed-methods process evaluation to examine determinants of antenatal POC STI screening implementation in public facilities. MethodsThis evaluation was embedded within the three-arm Philani Ndiphile randomized trial (March 2021-February 2025) across four public clinics in the Eastern Cape. Screening used a near-POC, electricity-dependent nucleic acid amplification test with a 90-minute turnaround time. Reach, Adoption, Implementation, and Maintenance were assessed using the RE-AIM framework. Quantitative indicators included uptake of screening, treatment, and follow-up attendance. Qualitative data included in-depth interviews with 20 pregnant women and five focus group discussions with 21 research staff and government healthcare workers. The Consolidated Framework for Implementation Research guided qualitative analysis. Findings were integrated using narrative weaving. ResultsScreening uptake was high (99.0%), with treatment coverage of 95.2% at baseline and 93.5% at repeat screening. Same-day treatment was lower (50.7% and 69.8%) and varied substantially by facility, reflecting operational constraints including turnaround time, patient volume, infrastructure, and electricity. Attendance was higher when screening was integrated into routine ANC. Women valued screening for infant health, while providers recognised advantages over syndromic management but highlighted workforce, resource, and maintenance constraints. Socioeconomic factors, including transport costs, hunger, and work commitments, influenced retention and waiting. ConclusionsAntenatal POC STI screening was acceptable and achieved high treatment coverage in a research setting. However, same-day treatment was constrained by operational requirements of the testing platform. Scale-up will require workflow integration, strengthened health system capacity, and faster diagnostics suited to routine antenatal care. Key MessagesO_ST_ABSWhat is already known on this topicC_ST_ABSSyndromic management remains standard antenatal care in many low-resource settings despite failing to capture up to 89% of infections that remain asymptomatic. Point-of-care aetiological screening has demonstrated feasibility, acceptability, and potential clinical benefit in research settings, yet has not been widely adopted into national policy. Limited evidence exists on the health system requirements and contextual determinants influencing scale-up within routine public facilities. What this study addsThis mixed-methods process evaluation demonstrates high uptake and treatment coverage of antenatal POC STI screening in a trial setting, while identifying facility-level, structural, and socioeconomic factors shaping same-day treatment and retention. We show that implementation success varies substantially across clinics and depends on assay characteristics, workflow integration, human resources, infrastructure reliability, and follow-up capacity. How this study might affect research, practice or policyThese findings provide implementation-relevant evidence to inform national policy deliberations on integrating POC STI screening into antenatal care. Sustainable scale-up will require context-adapted delivery models, strengthened workforce and supply systems, faster diagnostics, and alignment with existing ANC workflows to ensure equitable and durable impact.

Abstract Background Anemia is a condition characterized by nutritional deficiencies and blood disorders, predominantly affecting children aged 6 to 59 months and women of reproductive age, especially in low and middle-income countries. In Zambia, anemia is a public health problem. This study aims to assess the spatial patterns and determine factors associated with anemia severity in Zambia over six years (2018 to 2024). Method The study included a total of 19,362 WRA from the two waves of the ZDHS, 2018 and 2024. The ZDHS is a periodic national survey that uses multistage sampling. We adopted an analytical cross-sectional design, and the three-level multivariable ordinal logistic regression model was used to identify variables (individual, household, and community level) associated with anemia severity. Global Morans I, Local Morans I, and Getis-Ord Gi* statistics were used to determine the hotspots and spatial patterns, while spatial scan statistics were used to detect primary and secondary clusters and their distribution over the two cycles. Results The prevalence of anemia among women of reproductive age in Zambia was 31.0% (n=3,946) and 30.4% (n=2,015) in 2018 and 2024, respectively. The factors associated with higher odds of anemia severity were HIV status (HIV-positive: AOR=2.63, 95% CI:2.25,3.09), pregnancy (AOR=1.96, 95% CI:1.67,2.31), and rural residency (AOR=1.21, 95% CI:1.08,1.35). While being in a union was protective compared to never being in a union (AOR=0.66, 95% CI:0.57,0.77), not having financial barriers for medical assistance was equally protective. Spatial analysis showed geographic disparities and a non-random distribution of anemia (Global Morans I, 2018: I=0.147, p<0.001; 2024: I=0.130, p<0.001). the Hotspot analysis depicted an expansion of high-risk areas Western in 2018 to the North-Western and Luapula in 2024. Spatial scan analysis identified the south-west region (Western, Southern and North-Western) as the significant primary cluster of anemia consistently for both waves.

BackgroundThis study aimed to assess caregiver knowledge of Infant and Young Child Feeding (IYCF), child health, severe acute malnutrition (SAM) screening, and Community-Based Management of Acute Malnutrition (CMAM), its determinants, and associations with IYCF/ WaSH (water, sanitation, and hygiene) practices among caregivers of children 6-59 months with SAM in Ethiopian agrarian and pastoralist settings. MethodData were from the baseline survey of the R-SWITCH Ethiopia cluster-randomized controlled trial (cRCT), which screened [~]28,000 children aged 6-59 months and identified 686 SAM cases. Caregiver knowledge was evaluated using a validated 32-item questionnaire (Cronbachs for internal reliability) and analyzed via linear mixed-effects and Poisson regression models in Stata 17. ResultsCaregiver knowledge was positively associated with improved IYCF/WaSH practices among children aged 6-23 months with SAM, including higher minimum dietary diversity (MDD: IRR=1.50), minimum acceptable diet (MAD: IRR=1.63), and reduced zero vegetable/fruit intake (IRR=0.77), as well as MDD in children aged 24-59 months, improved water access (IRR=1.19), water treatment (IRR=2.02), and handwashing stations (IRR=1.41). Literate ({beta} = 4.1; 95% CI:1.5-6.6, p= 0.016), pregnant({beta} = 4.4; 95% CI:0.9-7.8, 0.018), having child weighing at a health post/ health center ({beta} = 8.9;95% CI:3.5-14.2,p [&le;] 0.001), and higher household wealth index ({beta} = 11.8;95% CI:3.6-20.1,p= 0.005) were associated with higher knowledge, while possible depression ({beta} = -0.3;95% CI: -0.5 to 0.0, p= 0.015) was associated with lower knowledge. ConclusionCaregiver knowledge determines better IYCF/WaSH practices among children aged 6-59 months with SAM. Literacy, pregnancy, having child weighing at a health post or health center, and greater household wealth were associated with caregivers knowledge, whereas possible depression was associated with lower knowledge. Integrating context-specific caregiver education and mental health support into CMAM, GMP(Growth monitoring and promotion), and primary care services could enhance feeding/WaSH practices in Ethiopia.

The global ambition to end the human immunodeficiency virus (HIV) epidemic requires understanding which system-level policy levers, enacted under the framework of Universal Health Coverage (UHC), are most effective in achieving both transmission reduction and diagnostic coverage. This study addresses an important evidence gap by quantifying the within-country association between measurable UHC policy indicators and the estimated rate of new HIV infections across nine Southeast Asian countries between 2013 and 2022. Employing a Fixed-Effects panel data methodology, the analysis controls for time-invariant national heterogeneity, ensuring reliable estimates of policy impact. We found that marginal changes in total current health expenditure (CHE) as a percentage of gross domestic product (GDP) were not statistically significantly associated with changes in HIV incidence. However, increases in the UHC Infectious Disease Service Coverage Index were statistically significantly associated with concurrent reductions in HIV incidence (p < 0.001), suggesting the efficacy of targeted service implementation as the principal driver of curbing new HIV infections. In addition, the UHC Reproductive, Maternal, Newborn, and Child Health Service Coverage Index exhibited a statistically significant positive association with changes in HIV incidence (p < 0.01), which is interpreted as a vital surveillance artefact resulting from expanded detection and reporting of previously undiagnosed HIV cases. Furthermore, out-of-pocket (OOP) health expenditure as a percentage of CHE showed a counter-intuitive negative association with changes in HIV incidence (p < 0.01), suggesting this metric primarily shows ongoing indirect cost burdens on the established patient cohort, or, alternatively, presents a diagnostic access barrier that results in lower case finding. These findings suggest that policymakers should prioritise investment in targeted infectious disease service efficacy over aggregate fiscal commitment and utilise integrated sexual health platforms for strengthened HIV surveillance and case identification.

Introduction Louisiana ranks last in the United States of America in terms of maternal health outcomes. Previous works have highlighted the impact of some social determinants of health on the incidence of adverse birth outcomes. These works have subjectively selected specific social determinants of health from larger datasets. Here, we attempt to replicate their results with objective variable selection techniques. Methods By deriving principal components from the Agency of Healthcare Research and Quality's parish-level social determinants of health dataset, we were able to objectively find social determinants of health associations instead of the conventional subjective variable selection approach. Then, we applied Bayesian linear mixed-effects models to calculate more conservative parameter estimates about the effects of social determinants of health on adverse birth outcome incidence. Then, we used local Moran's I to identify clusters of spatially autocorrelated parishes. Finally, we combined the results of these two methods and inspected the relationship between important predictors and clusters of spatial autocorrelation. Results We identified several significant effects on the incidence of adverse birth outcomes, including populational composition and economic attainment, and several clusters of high and low incidences of adverse birth outcomes in Louisiana. There was also a concordant relationship between important predictors from our predictive models and the cluster assignments of Local Moran's I. Conclusion Our results validate previous works in the subject area and hold implications for precision development of maternal health interventions in Louisiana.

Background: Out-of-pocket healthcare expenditure (OOPHE) remains a major challenge to accessing adequate medical service, often discouraging individuals from seeking necessary medical services. The extent of OOPHE in Jigjiga city is unknown. This study aimed to assess the magnitude and associated factors of OOPHE among outpatients visiting public hospitals in Jigjiga city, Somali region, Eastern Ethiopia. Methods: A hospital-based cross-sectional study was conducted among 406 outpatients selected through systematic random sampling from three public hospitals in Jigjiga city. Data were collected through interviews-administered questionnaires and analysed by SPSS version 25.0. Binary and multivariable logistic regression analyses were performed to identify factors associated with OOPHE among outpatients (p < 0.05). Results: Overall, 89.5% of respondents incurred out-of-pocket healthcare payments at the point of service delivery. The mean OOPHE per outpatient was 485.6 {+/-} 349 birr ($3.12 {+/-} $2.24). Female [AOR = 3.38, 95% CI (1.54-7.42)], unmarried [AOR = 5.32, 95% CI (1.77-16.03)], and traveled [&ge;]5 km [AOR = 7.07, 95% CI (1.46-34.29)] and higher educational attainment (college and above) [AOR = 7.07, 95% CI (1.55-32.28)] were independently associated with higher odds of incurred OOPHE. Conclusion: The magnitude of out-of-pocket healthcare payments among outpatients was high. Sex, marital status, educational level, and distance to reach a public health facility were significant predictors of OOPHE. Policy action to reduce OOPHE in this setting should include strengthening and expanding the Community-Based Health Insurance scheme and promoting prepayment mechanisms, such as Social Health Insurance, for formal sector employees, specifically for government employees.