BMJ Global Health

Perinatal asphyxia is a leading cause of neonatal death in Mozambique and the main cause of early neonatal death in the referral hospitals of Gaza Province. Where blood gas analysis is unavailable, a low five-minute Apgar score remains a key marker of intrapartum compromise. This study aimed to identify maternal, obstetric, fetal and institutional factors associated with a low five-minute Apgar score at Xai-Xai Provincial Hospital, Mozambique. We conducted a secondary analysis of the records of 471 newborns delivered between January 2016 and December 2018, drawn from a matched case-control study of early neonatal death. The outcome was a five-minute Apgar score below 7. Associations were estimated with bivariate and multivariable conditional logistic regression and are reported as odds ratios with 95% confidence intervals. Of the 471 newborns, 76 (16.1%) had a low five-minute Apgar score. In the multivariable model, a gestational age of 42 weeks or more (adjusted odds ratio 4.04; 95% confidence interval 1.18-13.82) and ruptured membranes on admission (adjusted odds ratio 3.69; 95% confidence interval 1.37-9.96) were associated with higher odds of a low score, whereas partograph use during labour was associated with lower odds (adjusted odds ratio 0.07; 95% confidence interval 0.01-0.31). The association with preterm birth was attenuated after adjustment for birth weight. Post-term birth and ruptured membranes on admission were associated with a low five-minute Apgar score, and partograph use with lower odds. Because the sample was drawn from a study of early neonatal death, these associations should be confirmed in unselected birth cohorts. They nonetheless support strengthening intrapartum monitoring in Mozambican referral maternities.

Since its inception in 2003, the United States President's Emergency Plan for AIDS Relief (PEPFAR) has played a central role in HIV/AIDS prevention and treatment across Sub-Saharan Africa. Following the January 2025 suspension of United States foreign aid, which includes PEPFAR funding, countries across Sub-Saharan Africa demonstrated varying governmental responses to the resulting HIV funding disruptions. This study evaluates whether national characteristics were associated with a country's ability to respond to this funding crisis. Countries in Sub-Saharan Africa receiving PEPFAR funding were classified into one of three response categories: Level 1 (minimal or no governmental response), Level 2 (government response without sufficient plans or resources to fully offset funding losses), or Level 3 (high governmental response with strategies to maintain HIV/AIDS prevention and treatment services). Response categories were compared with national Human Development Index (HDI), GDP per capita, HIV prevalence, total population living with HIV, annual HIV mortality, and historical PEPFAR funding. Univariable proportional-odds ordinal logistic regression was used to identify factors associated with response level. Five countries (17.2%) were classified as Level 1, 10 (34.5%) as Level 2, and 14 (48.3%) as Level 3. Higher HDI was significantly associated with stronger governmental response (OR = 4.05; 95% CI, 1.49-11.04; Holm-adjusted p = 0.0376). GDP per capita (OR = 2.35; 95% CI, 1.00-5.51; unadjusted p = 0.0489) and HIV prevalence (OR = 3.53; 95% CI, 1.03-12.11; unadjusted p = 0.0452) demonstrated positive associations before adjustment for multiple comparisons, but neither remained significant after Holm correction (adjusted p = 0.2261 for both). Historical PEPFAR funding, total population living with HIV, and annual HIV mortality were not significantly associated with response level after adjustment. Countries with higher levels of human development demonstrated stronger governmental responses to the 2025 PEPFAR funding disruptions. Several countries with minimal documented responses were also affected by active conflict or political instability, potentially compounding their vulnerability to treatment interruptions. These findings suggest that broader national development may play an important role in governmental responses to funding disruptions and highlight the need to strengthen resilient health systems, diversify HIV financing, and prioritize support for countries at greatest risk of future funding shocks.

Background Urban inequities are often masked by the misleading notion of an urban advantage, despite persistent unequal access to quality healthcare services. Moreover, negative perceptions about the urban poor and slum-dwellers persist, despite their substantial role in driving and holding up the urban economy. It is thus essential to work with the media to bring visibility to these realities, raise public awareness, and inform more equitable health policies. In low- and middle-income countries (LMICs), evidence remains scarce on how health-related information from media outlets influences policy decisions. This study aimed to understand how journalists get information, engage with stakeholders in the health systems, and contribute to influencing urban health discourse in Bangladesh and Nepal. Methods We conducted a cross-country exploratory qualitative study comprising 30 key informant interviews from Bangladesh and Nepal, including 17 journalists, 10 health policymakers, and 3 public health advocates. Participants were purposively selected to ensure diversity across media types, gender, and professional roles. Interviews were conducted between September 2024 and March 2025. Data were transcribed, translated, and analyzed thematically using NVivo software. Cross-country comparative analysis was carried out to identify common themes and contextual differences. Findings Across both countries, participants relied on multiple and diverse information sources. Government data were often prioritized as a primary source of information, although they were shaped by political influences and accessibility constraints. Research evidence was valued but underutilized due to difficulties in interpreting scientific articles. Urban health issues received limited priority in health news reporting due to journalists constraints in covering multiple issues and financial constraints for in-depth coverage. Additional challenges included inadequate health and urban health-related training, limited fellowship opportunities for investigative reporting, and restricted access to data, while health policymakers and public health advocates frequently questioned the credibility and use of media-reported information. Media engagement in policymaking largely remained indirect and issue-focused or event-driven. However, consistent media coverage raised public awareness and generated public pressure and, at times, indirectly influenced health policy decisions such as immediate inspection after reporting on pesticides, installation of oxygen plants during the pandemic, dengue surveillance, and tobacco control measures and actions. Conclusion In Bangladesh and Nepal, news media play a significant but indirect role in shaping urban health policy decisions. Enhancing journalists capacity, improving access to credible information and data, and continuous engagement of stakeholders could strengthen evidence-informed urban health policymaking. Furthermore, establishing greater independence of journalists and government and community recognition of their responsible health reporting could help and motivate the media to contribute more meaningfully to public debate and policy reform processes.

ObjectivesTo estimate age trajectories of infant mortality among Palestinian refugees using electronic health records, addressing the scarcity of reliable mortality data in forced displacement settings. SettingPalestinian refugees living in Gaza, West Bank, Jordan, Syria and Lebanon. DesignWe fitted a Bayesian Negative Binomial model to observed death counts, using a flexible parametric function (a shifting power function) to capture the shape of the infant mortality curve, across strata to infer age trajectories of infant mortality. ParticipantsPalestinian refugees born in 2010-2020 and registered with UNRWA health services in Gaza, West Bank, Jordan, Syria and Lebanon. The sample was stratified by sex, field, gestational age and birth cohort. Main outcome measuresSurvival rate to age 1. ResultsOverall, the survival rate to age 1 was 98.64%, with slightly lower rates for males (98.57%) than females (98.68%). Across settings, West Bank refugees had the lowest infant mortality (99.08% survival rate), and Jordan refugees had the highest (98.22% survival rate). Results by gestational age showed a 98.85% survival rate at age 1 among term births compared to a 73.32% survival rate among very preterm births. Survival rates by cohort (births up to 2015 or after) were 98.78% and 98.42%, respectively. ConclusionOur findings highlight the potential of electronic health records for mortality monitoring in forced displacement settings as they reveal consistent mortality trajectories by sex and gestational age, while identifying meaningful variation across refugee settings and subgroups. Summary boxesO_ST_ABSWhat is already known in this topicC_ST_ABSWe searched PubMed and Google Scholar for articles published between Jan 1, 2000, and Feb 20, 2026, in English, using the terms "Palestinian refugees," "infant mortality," "neonatal mortality," and "UNRWA." We found a handful of studies estimating infant mortality among Palestinian refugees, mostly based on household surveys (eg, MICS, national statistical office surveys) or UNRWA surveys using preceding birth techniques. The preceding birth technique has notable limitations, including recall bias, small sample sizes, and selection bias. The majority of these studies focus exclusively on Palestinian refugees residing in Gaza. Estimates for Gaza suggest a sustained decline, from around 127 deaths per 1,000 births in 1960 to 20.2 per 1,000 births in 2006, with a slowdown thereafter and an increase in more recent years. A combined estimate (excluding Syria) across four settings where Palestinian refugees reside measures infant mortality at 18 per 1,000 births in 2011. What this study addsThis study uses a unique data linkage bringing together UNRWAs obstetric and child health records, providing more extensive information and a larger sample size than previous studies. This is also the first study to assess the data quality of these electronic records and to estimate age trajectories of infant mortality among Palestinian refugees. We developed a statistical strategy that estimated infant mortality trajectories covering all five UNRWA fields (Gaza, Jordan, Lebanon, Syria, and the West Bank) for children born in 2010-2020, and examined differences across subpopulations by sex, field, gestational age and cohort.

BackgroundMalaria in pregnancy (MiP) imposes a substantial economic burden on households in sub-Saharan Africa. We estimated household costs of MiP and their distribution across wealth quintiles among HIV-uninfected pregnant women in western Kenya receiving intermittent preventive treatment (IPTp) with sulfadoxine-pyrimethamine (SP), dihydroartemisinin-piperaquine (DP), or dihydroartemisinin-piperaquine plus provider education. MethodsThis study was nested within a three-armed, pragmatic, open-label, cluster-randomised trial across 15 health facilities over 10 months. Exit interviews were conducted during the second and third trimesters, approximately 5-6 months after the start of the intervention period. Direct and indirect household costs from the most recent malaria episode were compared with income to estimate catastrophic health expenditure (CHE). Costs were analysed using mixed-effects generalised linear model and their distribution across wealth quintiles using the concentration index. Cost data collected in 2020 (Kenyan shillings) were inflated and converted to 2024 US dollars. FindingsAmong 1,189 participants, 247 (21%) self-reported having sought care for MiP (212 outpatients, 24 inpatients, 11 unspecified). Mean costs were USD 24.9 for outpatient and USD 57.1 for inpatient care per episode. Indirect costs accounted for 87% and 70% of outpatient and inpatient costs, respectively. The mean outpatient malaria costs were equivalent to six or more days while inpatient costs were half a month or more of the minimum wages in the study area. The incidence of CHE for outpatient care was 8%, and neither outpatient costs nor CHE varied between wealth quintiles (concentration index =0.02, p=0.571 and 0.01, p=0.304, respectively). ConclusionsMiP imposes a substantial economic burden on households in western Kenya, despite a national policy of free maternal health services. Most costs arose from productivity losses rather than payments for care; financial protection therefore depends on the prevention of malaria episodes.

Geocoded health facility data are essential for spatial analyses, yet routine health information systems in many low- and middle-income countries often contain inaccurate, incomplete, inconsistent, or outdated facility coordinates. For Greater Accra, Ghana, we created a geocoded health facility dataset aligned with routine maternal health service data from the District Health Information Management System (DHIMS2). We undertook a desk-based, multi-source geocoding and verification workflow of 602 facilities reporting maternal health services between 2020 and 2024. Candidate coordinates were triangulated using national facility records, online mapping platforms, facility websites and social media, directories, photographs, satellite imagery, and local expert knowledge. Coordinates were classified according to the strength and concordance of supporting evidence, with uncertain cases undergoing secondary review. Coordinates were identified for 96.4% of 602 health facilities (n = 580), with 59.3% assigned a high confidence classification (n = 357). Only 22 facilities (3.7%) could not be located with sufficient supporting evidence. Our resulting dataset is made available in a version-controlled openly-modifiable repository for long-term use, permitting routine service utilisation data to be linked with facility locations; thereby facilitating spatial analysis important for equitable health service planning. By documenting our process, this study makes a typically hidden stage of spatial health research transparent and reproducible. Our findings also highlight the need to treat geocoded facility datasets as living, maintainable geospatial health data infrastructure rather than as static research outputs.

Abstract Background: We developed and evaluated a behaviour change intervention to improve health outcomes for pregnant women and neonates in rural Pakistan. Methods: We used a parallel, three-arm, unblinded, cluster randomised controlled trial design. Eligible clusters were upgraded health facilities plus all associated community health workers (CHWs) and catchment populations. Randomisation was by computer program (1:1:1 ratio). All pregnant women were eligible. Control CHWs provided usual care to pregnant women. Arm 1 CHWs provided structured birth planning, including birth preparedness and complication readiness planning, and a voucher allowing free travel to access emergency obstetric/neonatal care. Arm 2 CHWs provided structured planning alone. Co-primary outcomes were skilled (doctors and midwifery-trained cadres) birth attendance and neonatal mortality (NNM) at 28 days. Findings: Between November 2011 to May 2012, respectively in arms 1, 2 and the control 21,317, 19,267 and 18,867 women were recruited, and 21,214, 19,125 and 18,812 were followed-up and analysed. Vouchers were almost never used to reclaim travel costs. Skilled attendance was 64% (12,045/18,812) in the control arm, 72.3% (15,335/21,214) (adjusted odds ratio [aOR] 1.56 [95% CI: 0.93, 2.62; p = 0.21]) in arm 1 and 78.1% (14,944/19,125) (aOR 2.16 [95% CI: 1.29, 3.62; p = 0.007]) in arm 2. NNM was 13.4 (per 1,000 live births) in the control arm, 45 (aOR 2.32 [95% CI: 1.48, 3.63; p < 0.001]) in arm 1 and 16.2 (aOR 1.36 [95% CI: 0.84, 2.21; p = 0.21]) in arm 2. Conclusions: Birth planning had inconsistent effects on skilled attendance and NNM, including apparently negative effects on NNM, with concerns about the quality of midwifery care. However, the control arm and arm 2 NNM was improbably low for this setting, and bias in the outcome may explain the observed differences. The travel voucher was little used.

Background Temperature instability during neonatal transport contributes to adverse outcomes in preterm and low birth weight infants. Hypothermia in this population is associated with increased risk of intraventricular haemorrhage (IVH), sepsis, and death. Current transport temperature management is reactive and manually controlled. The Heating On Transport WitH prEtErm and Low birth weight neonates using Servocontrol patient temperature management system (HOTWHEELS) trial aims to determine whether automated, servo-controlled thermoregulation provides superior thermal stability compared to standard care and reduces hypothermia-associated adverse outcomes. Methods This prospective, randomised, superiority trial is conducted by the Newborn Emergency Transport Service of Western Australia. Infants with a gestational age of less than or equal to 34 weeks and/or weight of 1500 g requiring transport are randomised to serve-controlled or standard thermal care. The primary outcome is the proportion of infants with a temperature between 36.5 and 37.5 degrees Celsius on arrival at the receiving neonatal unit. Secondary outcomes include the incidence of IVH in the first 7 days, mortality before discharge, the incidence of moderate (<36.0) and severe (<35.0) hypothermia for greater than 15 minutes and the temperature change during transport. Trial registration: ANZCTR12624000503527. Impact HOTWHEELS is the first randomised trial in neonatal transport to evaluate servo-controlled temperature control. We believe the findings will inform standards of temperature control during transport for preterm and low birth weight infants.

BackgroundSevere community-acquired pneumonia (CAP) remains a leading cause of mortality in children under five. The PediCAP trial evaluated oral step-down therapy using dispersible amoxicillin or amoxicillin/clavulanate tablets in African children hospitalised with severe CAP. Dispersible tablet formulations are preferred in children; however, pharmacokinetic data for oral amoxicillin/clavulanate in paediatric populations remain limited. We characterised the pharmacokinetics of 4:1, 7:1, and 14:1 dispersible amoxicillin/clavulanate tablets in children enrolled in the PediCAP trial and predicted target attainment under different dosing schemes. MethodsChildren were randomised within 24 hours of starting intravenous antibiotics to oral step-down therapy with weight-banded dosing of twice-daily amoxicillin/clavulanate (4:1, 7:1, or 14:1). Plasma concentrations were quantified following intensive sampling and analysed using nonlinear mixed-effects modelling with allometric scaling and postmenstrual age-dependent clearance maturation. Pharmacodynamic indices included %fT>MIC for amoxicillin and %fT>Ct for clavulanate. ResultsA total of 157 children (median [range] age, 12 [2-70] months; weight, 8.4 [4.0-22.0] kg) contributed 707 paired concentrations. Amoxicillin was described by a two-compartment model and clavulanate by a one-compartment model, both with sequential zero-and first-order absorption. Typical clearance for an 8-kg individual at full maturation was 11.8L/h for amoxicillin and 6.1L/h for clavulanate. Pharmacokinetics were similar between the formulation ratios. Weight-banded dosing achieved balanced exposures across weight groups. Amoxicillin achieved 40%fT>MIC for MICs[&le;]2mg/L. A proposed clavulanate target of 20%fT>0.5mg/L was achieved in most children even at the lowest amoxicillin/clavulanate ratio. ConclusionWeight-banded dosing using dispersible amoxicillin/clavulanate tablets provide consistent exposure profiles in African children with severe CAP. SUMMARYPopulation pharmacokinetic modelling of dispersible amoxicillin/clavulanate tablets (4:1, 7:1, 14:1) in 157 African children with severe pneumonia showed weight-banded dosing achieved consistent and adequate amoxicillin and clavulanate exposures across formulations.

Seasonal flooding in Adamawa State, Nigeria damages health facilities, breaks supply chains, and displaces health workers and communities, while increasing health needs. Sexual and reproductive health (SRH) services are often deprioritized, yet evidence on how they are sustained remains limited. We examined how SRH services were sustained during recurrent flooding. We conducted a qualitative descriptive study in the flood-prone Local Government Areas of Numan and Fufore. We held eight focus group discussions with women and girls and 20 key informant interviews with health providers, supply chain actors, and program implementers. Flooding closed or damaged health facilities, broke supply and cold chains, and displaced health workers. Participants linked these disruptions to unattended births and to rising hemorrhage, stillbirth, miscarriage, and genital infections. Service continuity depended less on the formal health system than on anticipatory, community-led adaptation across three phases. Before floods, stakeholders mapped risk, pre-positioned commodities, trained women in contraceptive self-injection, and dispensed medicines in advance. During floods, care shifted to mobile outreach, task-sharing, transport by canoe and boat, and community-led referral. Community health workers, traditional birth attendants, Ward Development Committees, and women's groups reached cut-off communities. Across seasons, adaptations evolved toward cash transfers, savings groups, local reusable-pad production, and decentralized commodity hubs. Continuity relied heavily on unpaid community labor and women's own resources. Sustaining SRH services in flood-prone settings requires institutionalized preparedness, decentralized supply, empowered communities, and protected health financing. Community-led models offer a transferable approach to health security in a changing climate.

Background Neonatal sepsis remains a major cause of neonatal morbidity and mortality, particularly in low- and middle-income countries. Its management is increasingly complicated by antimicrobial resistance (AMR), while limited facility-specific data on causative bacterial pathogens and susceptibility patterns often necessitate empirical antibiotic treatment. This study assessed the prevalence of neonatal sepsis, bacterial pathogens and antimicrobial resistance patterns, and maternal, neonatal and clinical factors associated with neonatal sepsis among neonates admitted to the Neonatal Intensive Care Unit (NICU) at Livingstone University Teaching Hospital (LUTH), Zambia. Methods A retrospective cross-sectional record review was conducted among neonates admitted to the NICU at LUTH from 2020 to 2025. A total of 150 neonatal records were analysed. Neonatal, maternal, clinical, blood culture and antimicrobial susceptibility data were analysed using descriptive statistics, chi-square tests and logistic regression. Missing information was treated as missing and was not imputed; denominators were reported according to the records available for each analysis. Results Neonatal sepsis was identified in 52/150 neonates, giving a prevalence of 34.7% (95% CI: 27.5%-42.6%). Among the 52 sepsis cases, 20 had positive blood cultures, corresponding to a culture positivity rate of 38.5% (95% CI: 26.5%-52.0%); this represented 13.3% of the full study sample. Maternal fever during labour (aOR=6.822; 95% CI: 2.032-22.905; p=0.002) and caesarean delivery (aOR=2.245; 95% CI: 1.050-4.801; p=0.037) were independently associated with neonatal sepsis, while increasing birth weight was protective (aOR=0.891 per 100 g; 95% CI: 0.817-0.973; p=0.010). Escherichia coli was the most frequent isolate (5/20; 25.0%), followed by Klebsiella pneumoniae (4/20; 20.0%) and Staphylococcus aureus (4/20; 20.0%). Resistance was highest to ampicillin (15/19; 78.9%), followed by gentamicin and ceftriaxone (10/19; 52.6% each), while all 19 isolates tested against meropenem were susceptible. Conclusion The findings indicate that empirical management of neonatal sepsis at LUTH should be informed by local microbiological surveillance rather than reliance on historical first-line susceptibility assumptions. Routine blood culture and susceptibility testing, a regularly updated facility antibiogram, strengthened infection prevention and antimicrobial stewardship are required to improve treatment decisions and preserve effective antibiotics. Interpretation should consider the retrospective single-centre design, incomplete routine records and the small number of culture-positive isolates.

Background Malaria and HIV remain major causes of illness in sub-Saharan Africa, accounting for 94% of the global malaria burden and over two-thirds of the global HIV burden. HIV-related immunosuppression increases susceptibility to malaria, with a higher malaria burden of up to 47% and severe malaria complications compared to HIV-negative individuals. Socio-demographic factors, individual knowledge, attitude, and perception are recognized determinants of malaria prevention behaviours, but no study has modelled their combined contribution, and there is scant research on these factors among people living with HIV. We assessed the level of knowledge, attitudes, and perceptions towards malaria, and identified the predictors of malaria prevention practice among HIV-positive individuals in Kampala, Uganda. Methods This cross-sectional study enrolled 620 HIV-positive patients attending the ART clinic of China-Uganda Friendship Hospital, Naguru, selected by systematic random sampling. Data collection was conducted from 21st July 2025 to 18th August 2025 using a structured, interviewer-administered questionnaire that measured socio-demographic characteristics, knowledge, attitude, perception, and the practice of malaria prevention. Associations were assessed using Mann-Whitney U, Kruskal-Wallis H, and Spearman correlation. The independent predictors of good malaria prevention practice were identified using binary logistic regression. Results Participants had a mean age of 34.8 years, were predominantly female (68.9%), Baganda (38.1%) by tribe, and the majority had a secondary level of education(46.0%). Most had good knowledge of malaria (97.3%) and a positive attitude (90.5%), while 57.3% held a positive perception of malaria risk and prevention; only 62.6% reported good malaria prevention practice, and most prevention methods used were sleeping under a mosquito net (71.1 3%) and closing windows early in the evening (70.3%). In regression analysis, knowledge (adjusted odds ratio [AOR] 1.198, 95% CI 1.03-1.40, p = 0.023) and attitude (AOR 1.101, 95% CI 1.04-1.17, p = 0.001) independently predicted good practice, while perception did not (AOR 1.00, 95% CI 0.96-1.04, p = 0.994). Scores of Attitude, perception, and malaria prevention practices varied significantly, though non-linearly, by education level, and were highest among non-educated participants. Conclusions Despite near-universal knowledge and predominantly positive attitudes in this study, more than a third of HIV-positive participants did not practice adequate malaria prevention, and perception did not independently predict malaria prevention practice once knowledge and attitude were accounted for. Programmes seeking to close this know-do gap should pair health education with structural support for prevention tools rather than education alone.

Introduction In July 2025, WHO launched the 3 by 35 Initiative calling on countries to increase real prices of tobacco, alcohol, and sugary drinks by at least 50% by 2035 to secure an additional $ 1 trillion in public revenue. While the effectiveness of excise taxes and prices in reducing tobacco use is well-documented, the feasibility of this call to action has not been evaluated empirically across the world. Methods Trend changes in countries nominal and inflation-adjusted retail prices were investigated using the most-sold brand of cigarettes over windows ranging from 2 to 16 years over the period 2008-2024, derived from nine editions of the World Health Organization Report on the Global Tobacco Epidemic. Statistical models of the association of cigarette excise taxes and prices from the panel of 195 countries were estimated. The frequencies of cigarette prices rising by at least 20% and 50% over preceding periods was estimated, and the length of time countries would need to reach these targets based on past trends were predicted. Results Over one- fifth of nominal cigarettes prices (and up to 40% in WHOs African region) were sticky across successive periods, even in countries with high overall consumer price inflation. Between 2008 and 2024, inflation-adjusted international dollar cigarette prices rose at a least squares annual trend growth rate of 2.9% (95% UI 2.8-3.0%) Excise tax increases strongly predict price increases. One-third of countries saw real prices at least 50% higher than 10 years prior. Conclusion Many of the instances of real price increases of 50% or more over 10-year periods occurred without countries implementing a conscious strategy to raise taxes. It is feasible to achieve and even surpass WHOs 3 by 35 call to action for tobacco if countries strategize and accelerate tobacco tax increases.

Background. Despite relatively high coverage of interventions to prevent vertical transmission, HIV incidence among children born to women living with HIV (WLH) remains above elimination targets, partly because of substantial disengagement from antiretroviral therapy (ART) during the postpartum period. We evaluated the effectiveness of a data-driven continuous quality improvement (CQI) intervention in improving retention in care, virological suppression, and prevention of vertical transmission among pregnant and breastfeeding WLH receiving ART in maternal and child health (MCH) clinics. Methods and findings. This pragmatic cluster-randomized trial was conducted in 105 MCH clinics--three high-volume clinics in each of the 35 health zones (HZs) of Kinshasa Province, Democratic Republic of the Congo. During the pre-randomization phase (November 2016-December 2017), routine data collection using prevention of mother-to-child transmission registers was strengthened in all participating clinics. In January 2018, HZs were randomized 1:1 to implement CQI or continue the standard of care. In intervention HZs, quality improvement (QI) teams were established at the HZ and clinic levels. Indicators selected collaboratively with QI teams were calculated from routine program data and shared quarterly. Through July 2019, QI teams met quarterly to identify service-delivery challenges and develop strategies to improve outcomes, with an emphasis on retention. Thereafter, responsibility for producing indicators was transferred to QI teams, and meetings continued virtually through WhatsApp. Pregnant and breastfeeding WLH and their infants receiving care at participating clinics between November 2016 and July 2019 were enrolled and followed for at least 24 months. Primary outcomes were loss to follow-up (LTFU), viral suppression (<1,000 copies/mL), and a positive HIV test among live-born infants. Overall, 2,376 women were enrolled, including 1,217 (51.2%) before randomization. The analysis of CQI effectiveness included 1,900 participants who remained in care at randomization or enrolled thereafter: 1,103 (58.1%) in control HZs and 797 (41.9%) in intervention HZs. At 6, 12, and 24 months, LTFU was lower in the intervention group than in the control group: 18.6% versus 21.6% (adjusted risk difference [aRD], -5.2 percentage points; 95% CI, -9.6 to -0.8), 29.2% versus 31.0% (aRD, -3.9; 95% CI, -10.2 to 2.4), and 50.1% versus 55.5% (aRD, -7.1; 95% CI, -15.2 to 1.0), respectively. Estimated effects were larger in PEPFAR-supported and urban clinics, although interaction tests were not statistically significant. Viral-load results were available for 38.2%, 50.4%, and 73.5% of eligible participants at 6, 12, and 24 months, respectively. Neither viral-load-result availability nor viral suppression differed between groups. Infant HIV-test results were available for 8.1%, 32.7%, 34.2%, and 28.5% of eligible infants at 6 weeks and 6, 12, and 24 months, respectively. Conclusions. CQI implementation produced a modest improvement in retention, with the clearest evidence at 6 months and favorable but imprecise estimates through 24 months. Limited availability of maternal viral-load and infant HIV-test results precluded definitive conclusions about virological suppression and vertical transmission. Local quality-improvement interventions may strengthen processes within frontline teams control but cannot alone overcome failures across an interconnected care system. Future studies should align interventions operational reach with all health-system levels responsible for the intended outcomes.

Background: TB vaccine development is hampered by the natural history of M. tuberculosis: most infected people rarely progress to disease, so trials must be very large and long to accrue sufficient disease endpoints. Current trials enrol IGRA-positive participants (IGRA: Interferon-Gamma Release Assays), but IGRAs remain positive for many years and cannot distinguish recent from remote infection. Tests for recent infection are now in development, and we argue they could make trials substantially more efficient. Here, we investigate how screening participants prior to enrolment with a test for recent M.tb infection could impact the total number of enrollees required for an adequately-powered TB vaccine trial. Methods: Using a statistical model of vaccine trial recruitment, we estimated the number needed to contact, test, and enrol to achieve an 'effective' trial (defined as 50 disease endpoints), under IGRA-gated enrolment (life-long duration of positivity) vs. enrolment with a test for recent infection. We considered five recruitment strategies: non-test-based enrolment for ages 15-49, ages 12-34, and household contacts of recent cases; and test-based enrolment using IGRA, and a test for recent infection with two-year duration of positivity. The model explored trial recruitment in South Africa, Kenya, and India. Results: Compared with an extended-positivity test, a test for recent infection reduced the median number needed to enrol by 4.2- to 6-fold under favourable conditions. It also outperformed non-test-based strategies, including enrolling household contacts. This comes at the cost of substantially more testing, but crude estimates suggest recency-based enrolment would still be cheaper overall provided the new test does not cost more than roughly 5-10 times an IGRA. Conclusions: Diagnostics for recent M.tb infection have the potential to improve vaccine trial efficiency, but more research is now needed to understand test characteristics and to evaluate their use in this setting. Our Viewpoint sets out the test attributes that would need to be established, such as time to positivity, duration of positivity, sensitivity, and specificity, before such tests could be used in vaccine trials.

Background Sustained retention in HIV care is essential for maintaining antiretroviral therapy (ART) and achieving viral suppression. We described national and regional retention in HIV care among paediatric and adolescent ART initiation cohorts in Uganda from 2020-2023. Methods We analyzed aggregated paediatric (aged 0-9 years) and adolescent (aged 10-19 years) ART cohort data reported through the District Health Information Software. We assessed 16 consecutive quarterly ART initiation cohorts per age group, from Quarter 1 2020 to Quarter 4 2023, at 6 (short-term), 12 (intermediate), and 24 (long-term) months after ART initiation. Each cohort comprised clients newly initiated on ART in a specific calendar quarter. Retention was defined as the proportion of clients alive and on ART within the net current cohort (original cohort plus transfer-ins minus transfer-outs). We described retention nationally and by region for each cohort and follow-up time point. We summarized the proportion of cohorts with retention [&ge;]95% by region as a descriptive measure of high retention. Results Among paediatric cohorts, median retention was 84% (IQR: 82-85%) at 6 months, 81% (IQR: 78-83%) at 12 months, and 78% (IQR: 75-80%) at 24 months. Only one national paediatric cohort achieved [&ge;]95% retention at 6 months and one at 12 months; none attained this target at 24 months. The proportion of paediatric cohorts with regional retention [&ge;]95% was highest in Karamoja at short-term follow-up (31%), in Kigezi at intermediate follow-up (31%), and in Lango at long-term follow-up (13%). Among adolescent cohorts, median retention was 82% (IQR: 80-85%) at 6 months, 82% (IQR: 81-85%) at 12 months, and 76% (IQR: 74-78%) at 24 months. No national adolescent cohort achieved [&ge;]95% retention. The proportion of adolescent cohorts with regional retention [&ge;]95% was highest in West Nile at 6 months (19%) and 12 months (31%), and in Karamoja at 24 months (25%). Conclusion Retention among paediatric and adolescent ART cohorts declined with longer follow-up and varied across regions. Strengthening age-appropriate support beyond the first year of ART and improving routine cohort-data quality could support more targeted programme responses.

Introduction Medicines account for 20% of the National Health Service (NHS) carbon footprint, but it is unclear how consistently they are measured by individual NHS trusts. This study assessed medicine carbon footprint (MCF) practices across NHS trusts in England and whether these changed between 2021 and 2024. Methods Freedom of Information requests were sent to NHS trusts about MCF practices in 2021 and 2024. Responses were analysed to determine the proportion of trusts calculating MCFs, the medicines included and the emission factors used for spend-based calculations. Reported spend-based factors were compared with the median factor for each year to assess the effect of factor choice on MCFs. Results Of 196 trusts included in analysis, 178 (91%) responded for 2021 and 182 (93%) for 2024. Among responding trusts, 30 of 178 calculated MCFs in 2021 compared with 46 of 182 in 2024. Spend-based medicine footprinting increased from 19 trusts in 2021 to 31 in 2024. Ten different factors were used by 15 trusts in 2021 and 13 by 21 trusts in 2024. Reported factors ranged from 31% below to 258% above the median in 2024. Conclusions Medicine carbon footprinting remained uncommon, with only one-quarter of responding NHS trusts calculating a footprint in 2024. Among trusts using spend-based methods, wide variation in emission factors produced substantially different estimated MCFs. Clear national guidance on spend-based methodology could improve consistency in the short term, while greater use of standardised product-level approaches may better support medicine decarbonisation over time.

Background. Stunting and wasting drive child mortality and are central to Sustainable Development Goal target 2.2. In 2025, 24.0% of Bangladeshi children under five were stunted and 12.9% wasted, meeting the national stunting target but missing the 8% wasting target. We compared where the two occur and tested whether environmental factors explain the patterns. Methods. We linked the 2025 Bangladesh Multiple Indicator Cluster Survey to cluster GPS locations and environmental data. Moran's I tested clustering and Getis-Ord Gi* found hotspots across 64 districts and 3,144 clusters. We tested whether six environmental and access factors explained the hotspots, estimated what share of affected children each hotspot list reached, and used a joint model to compare factor associations between outcomes. Results. Stunting clustered by region (district Moran's I 0.21, P=0.002), with a north-eastern hotspot centred on Sylhet and Sunamganj. Six environmental factors together removed this clustering (I -0.01, P=0.45) and about 60% of between-district variation (95% CI 28 to 84), more than rainfall alone, with the gain over generic regional terms uncertain. Wasting showed no clear regional clustering (I 0.05, P=0.17), and district stunting and wasting rates were unrelated (r -0.01). Stunting hotspot districts held 5.9% of wasted children, the same as their 5.9% population share. Children with both conditions (902 cases) did not cluster. Altitude and rainfall related differently to stunting than to wasting (all P<0.004), but altitude associations were sensitive to how altitude was modelled. Conclusion. Stunting in Bangladesh is concentrated in the north-east, and six environmental and access factors together account for much of this, though no single factor, including rainfall, does. Wasting shows no clear regional pattern. A stunting hotspot list reached no more wasted children than population share, so surveillance may need both measures, with finer-scale data for wasting.

BACKGROUND: Indigenous tribes face a disproportionately high tuberculosis (TB) burden due to deep-rooted socioeconomic disadvantage, highlighting the need for strengthened, culturally sensitive control strategies. METHODS: We conducted a 21-year retrospective study (2005-2025) among tribal and neighboring non-tribal populations attending a tribal-serving hospital in Karnataka. Pre-Nikshay data were transcribed from paper registers, and post-Nikshay data were obtained from the digital system. We assessed negative binomial interrupted time-series regression model, data completeness, TB risk factors, and used multivariable logistic regression to identify determinants of poor treatment outcomes and household contact screening yield. RESULTS: We analyzed 1,512 TB cases (tribal = 1,021; non-tribal = 491). TB detection increased significantly over time, with a steeper rise among tribal populations (p<0.001). Nikshay implementation significantly improved data completeness (Wilcoxon W = 9900, p<0.001). Among tribal patients, males had higher odds of poor treatment outcome (aOR 2.81, 95% CI 1.70- 4.85; p<0.001). Diabetes (aOR 2.10, 95% CI 1.05- 4.03; p=0.029) was independently associated with poor treatment outcome. Among 503 index cases, 1,535 household contacts were identified and 1,161 (75.6%) screened; coverage was lower among tribal contacts (69.8% vs 87.2%; p<0.001). CONCLUSIONS: Nikshay strengthened TB surveillance and improved assessment of TB burden and risk factors in tribal communities.

Background Under-five mortality remains a major public health challenge in Zambia despite substantial reductions over recent decades. Demographic and Health Survey (DHS) data are commonly analysed using Cox proportional hazards models; however, violations of the proportional hazards assumption and unobserved cluster-level heterogeneity may compromise inference. This study compared advanced survival modelling approaches to determine the most appropriate framework for analysing under-five mortality using pooled Zambia DHS data. Methods We conducted a pooled secondary analysis of the 2018 and 2024 Zambia Demographic and Health Survey child recode datasets. The analysis included 9,982 children, among whom 266 died before their fifth birthday. A survey-weighted Cox proportional hazards model was fitted as the reference model and assessed using Schoenfeld residual diagnostics. To address identified methodological limitations, an extended Cox model, a shared-frailty model, and a Bayesian survival model were subsequently fitted. Model performance, assumptions, and the consistency of adjusted hazard ratio estimates were compared across modelling approaches. Results The global Schoenfeld test indicated violation of the proportional hazards assumption ({chi}2=51.26, p=0.002). In the adjusted extended Cox model, male children had higher mortality risk than females (aHR 1.95, 95% CI 1.40-2.73), while children with gestation [&ge;]9 months had lower mortality risk than those with shorter gestation (aHR 0.21, 95% CI 0.14-0.32). Average and large birth size were associated with lower mortality compared with small birth size (aHR 0.47, 95% CI 0.34-0.66 and aHR 0.57, 95% CI 0.39-0.84, respectively). Newborn health checks before discharge were associated with lower mortality (aHR 0.50, 95% CI 0.38-0.66), as was any antenatal care (aHR 0.25, 95% CI 0.09-0.75). A high-risk fertility pattern involving fourth or higher births with an interval [&ge;]24 months was also associated with lower mortality (aHR 0.57, 95% CI 0.41-0.80). The shared-frailty model produced similar estimates, including increased mortality among male children (aHR 1.39, 95% CI 1.08-1.78) and twins or multiple births (aHR 2.74, 95% CI 1.36-5.53). Bayesian estimates were broadly consistent with the extended Cox model. Conclusions Advanced survival models provided a more robust analytical framework than the conventional Cox model for evaluating under-five mortality in nationally representative DHS data. While the extended Cox model accommodated time-varying effects, the shared-frailty model captured unobserved cluster-level heterogeneity, and the Bayesian model confirmed the stability of parameter estimates. Incorporating these complementary approaches can improve the validity of survival analyses and strengthen evidence for child survival research and policy in low- and middle-income settings.