6 research outputs found
Adapting the 2022 WHO verbal autopsy tool for use in Lagos State, Nigeria: insights from the LVASA-SRS project.
No full textOBJECTIVE: Accurate and routine cause-of-death data are essential for health planning, yet many low- and middle-income countries lack comprehensive systems for such data, resulting in undocumented maternal and perinatal deaths. This article details the adaptation of the 2022 WHO Verbal Autopsy (VA) tool for maternal mortality surveillance in a linguistically diverse urban setting with high rates of out-of-facility deaths as part of the Lagos Verbal and Social Autopsy Sample Registration System project in Nigeria. RESULTS: The adaptation process enhanced the tool’s cultural sensitivity, language clarity, and system compatibility. Impersonal or potentially disrespectful terms (e.g., “the deceased”) were replaced, complex medical terms simplified (e.g., “abdominal pain” to “tummy pain”), and locally relevant options added for care providers and death locations. Context-specific skip patterns improved efficiency by focusing on maternal deaths and a rigorous translation process (forward/back translation in Yoruba and Pidgin English) ensured linguistic fidelity and local resonance. Validation included face and content review, role-play simulations, and pilot-testing with bereaved families. The adapted tool improved respondent comfort, data accuracy, and digital integration, incorporating global positioning system coordinates and interviewer identification numbers. The adapted tool retained compatibility with automated VA coding platforms and was incorporated into training regimen for data collectors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-025-07560-1
Randomized Controlled Trial of Impact of Mobile Health Technologies on Human Papillomavirus Vaccination Uptake in Mothers of Vaccine-Eligible Girls in Lagos, Nigeria (mHealth-HPVac)
No full textPurpose
Expanding high-risk human papillomavirus (HPV) vaccine coverage in resource-constrained settings is critical to bridging the cervical cancer gap and achieving the global action plan for elimination. Mobile health (mHealth) technology via short message services (SMS) has the potential to improve HPV vaccination uptake. The mHealth-HPVac study evaluated the effectiveness of mHealth interventions in increasing HPV vaccine uptake among mothers of unvaccinated girls aged 9-14 years in Lagos, Nigeria.
Methods
A randomized controlled trial was conducted at the Lagos University Teaching Hospital between June 2024 and March 2025. We randomly assigned n = 180 eligible mothers to either a text message (intervention) or a usual care (control) arm. The primary analysis was conducted using the intention-to-treat principle. Bivariable and multivariable logistic regression models were performed to compare HPV vaccination uptake between the two arms, adjusting for potential confounders using odds ratios (ORs) and 95% CIs.
Results
mHealth intervention significantly increased HPV vaccination uptake among mothers of vaccine-eligible girls (adjusted odds ratio [adj OR], 3.05 [95% CI, 1.61 to 5.77]; P = .001). Higher education level was also significantly associated with increased vaccine uptake (adj OR, 3.35 [95% CI, 1.77 to 6.33]; P < .001). There were no significant interaction effects by baseline characteristics on the association between mHealth intervention and HPV vaccine uptake.
Conclusion
The study showed that mHealth interventions significantly improve HPV vaccine uptake. Integrating mHealth strategies into routine immunization programs could be a scalable and cost-effective approach to increasing HPV vaccination coverage. However, future multicenter studies should consider using cluster randomization at the facility level to better optimize mobile interventions for diverse populations, identify the key drivers of successful SMS-based mHealth interventions, and gain deeper insights into the complex barriers to HPV vaccination uptake
Azithromycin use in labour to prevent sepsis among pregnant women undergoing vaginal delivery in Nigeria (AZIN-V): a study protocol for a hybrid type 2 effectiveness-implementation trial.
No full textINTRODUCTION: Nigeria has the highest number of maternal deaths globally, and maternal peripartum sepsis is one of the leading causes of maternal mortality. A single oral dose of azithromycin (AZM; 2 g) is safe and effectively reduces 33%-60% of maternal sepsis during planned vaginal birth in low- and middle-income countries (LMICs). However, the clinical and cost-effectiveness of oral AZM during vaginal birth in Nigeria remains unknown in the context of poor antimicrobial stewardship practices, significant antimicrobial resistance and healthcare financing. Evidence is also lacking on the standard care for the prevention of maternal sepsis among pregnant women undergoing vaginal births in Nigeria. The AZIN-V trial is a hybrid type 2 effectiveness-implementation trial to determine the safety, clinical and cost-effectiveness of intrapartum oral AZM versus usual care in the prevention of peripartum maternal sepsis. The trial will also examine the impact of implementation strategies in enhancing adherence to the oral AZM protocol during planned vaginal births and identify effective strategies to improve adherence (fidelity) to the protocol in real-world LMIC settings. METHODS AND ANALYSIS: This is a multicentre hybrid type 2 trial conducted in six Nigerian states: Ebonyi, Edo, Gombe, Kano, Kwara and Lagos. The study aims to simultaneously test the clinical and cost-effectiveness of AZM (clinical trial) and the impact of implementation strategies (implementation research) in Nigeria's unique healthcare context. The clinical trial is a two-arm, cluster-randomised controlled trial conducted across 48 health facilities, randomly assigned (1:1) to either intrapartum administration of oral AZM (intervention group) or usual care-the current routine practice (control group). A total of 5040 study participants (2520 in each group) will be enrolled in the clinical trial. The implementation trial is a two-arm cluster non-randomised controlled trial conducted in 12 health facilities (1:1) allocated to either a bottom-up approach using the Plan-Do-Study-Act cycle or a usual top-down approach with a one-time training workshop and distribution of clinical guidelines, with both arms administering oral AZM during vaginal birth while assessing fidelity (primary outcome).For the clinical trial, data will be analysed using intention-to-treat statistical methods. The cost-effectiveness outcome will be analysed using the Incremental Cost-Effectiveness Ratio. Implementation outcomes will be analysed using descriptive statistics and a thematic approach. ETHICS AND DISSEMINATION: This study has been approved by the National Health Research Ethics Committee, Nigeria (NHREC/01/01/2007-30/09/2024), the ethics committees of the participating health institutions (Lagos University Teaching Hospital Research Ethics Committee: ADM/DSCST/HREC/APP/6325; University of Ilorin Teaching Hospital Health Research Ethics Committee: ERC/PAN/2025/03/0581; University of Benin Teaching Hospital Health Research Ethics Committee: ADM/E22/A/VOL. VII/483117141; Aminu Kano Teaching Hospital Research Ethics Committee: AKTH/MAC/SUB/12 A/P-3/VI/2509 and Irrua Specialist Teaching Hospital Research Ethics Committee: ISTH/HREC/20241507/605), the Ministries of Health of the six states and the National Agency for Food and Drug Administration and Control. Written informed consent will be obtained from all eligible study participants before enrolment. Results will be shared with communities and policy stakeholders and through peer-reviewed journals and will be presented at conferences. TRIAL REGISTRATION NUMBER: ISRCTN16415327
Erratum: The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma (Cell Reports (2018) 23(1) (313–326.e5) (S2211124718304364) (10.1016/j.celrep.2018.03.075))
No full text(Cell Reports 23, 313–326; April 3, 2018) In the originally published version of this article, the author list contained two errors. Specifically, David J. Kwiatkowski was misspelled as David J. Kwaitkowski, and William Y. Kim was inadvertently written as William T. Kim. Both names have been corrected online. The authors regret this error
Global burden of 292 causes of death in 204 countries and territories and 660 subnational locations, 1990-2023: a systematic analysis for the Global Burden of Disease Study 2023
No full textBackground: Timely and comprehensive analyses of causes of death stratified by age, sex, and location are essential for shaping effective health policies aimed at reducing global mortality. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2023 provides cause-specific mortality estimates measured in counts, rates, and years of life lost (YLLs). GBD 2023 aimed to enhance our understanding of the relationship between age and cause of death by quantifying the probability of dying before age 70 years (70q0) and the mean age at death by cause and sex. This study enables comparisons of the impact of causes of death over time, offering a deeper understanding of how these causes affect global populations. Methods: GBD 2023 produced estimates for 292 causes of death disaggregated by age-sex-location-year in 204 countries and territories and 660 subnational locations for each year from 1990 until 2023. We used a modelling tool developed for GBD, the Cause of Death Ensemble model (CODEm), to estimate cause-specific death rates for most causes. We computed YLLs as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. Probability of death was calculated as the chance of dying from a given cause in a specific age period, for a specific population. Mean age at death was calculated by first assigning the midpoint age of each age group for every death, followed by computing the mean of all midpoint ages across all deaths attributed to a given cause. We used GBD death estimates to calculate the observed mean age at death and to model the expected mean age across causes, sexes, years, and locations. The expected mean age reflects the expected mean age at death for individuals within a population, based on global mortality rates and the population's age structure. Comparatively, the observed mean age represents the actual mean age at death, influenced by all factors unique to a location-specific population, including its age structure. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 250-draw distribution for each metric. Findings are reported as counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2023 include a correction for the misclassification of deaths due to COVID-19, updates to the method used to estimate COVID-19, and updates to the CODEm modelling framework. This analysis used 55 761 data sources, including vital registration and verbal autopsy data as well as data from surveys, censuses, surveillance systems, and cancer registries, among others. For GBD 2023, there were 312 new country-years of vital registration cause-of-death data, 3 country-years of surveillance data, 51 country-years of verbal autopsy data, and 144 country-years of other data types that were added to those used in previous GBD rounds. Findings: The initial years of the COVID-19 pandemic caused shifts in long-standing rankings of the leading causes of global deaths: it ranked as the number one age-standardised cause of death at Level 3 of the GBD cause classification hierarchy in 2021. By 2023, COVID-19 dropped to the 20th place among the leading global causes, returning the rankings of the leading two causes to those typical across the time series (ie, ischaemic heart disease and stroke). While ischaemic heart disease and stroke persist as leading causes of death, there has been progress in reducing their age-standardised mortality rates globally. Four other leading causes have also shown large declines in global age-standardised mortality rates across the study period: diarrhoeal diseases, tuberculosis, stomach cancer, and measles. Other causes of death showed disparate patterns between sexes, notably for deaths from conflict and terrorism in some locations. A large reduction in age-standardised rates of YLLs occurred for neonatal disorders. Despite this, neonatal disorders remained the leading cause of global YLLs over the period studied, except in 2021, when COVID-19 was temporarily the leading cause. Compared to 1990, there has been a considerable reduction in total YLLs in many vaccine-preventable diseases, most notably diphtheria, pertussis, tetanus, and measles. In addition, this study quantified the mean age at death for all-cause mortality and cause-specific mortality and found noticeable variation by sex and location. The global all-cause mean age at death increased from 46·8 years (95% UI 46·6-47·0) in 1990 to 63·4 years (63·1-63·7) in 2023. For males, mean age increased from 45·4 years (45·1-45·7) to 61·2 years (60·7-61·6), and for females it increased from 48·5 years (48·1-48·8) to 65·9 years (65·5-66·3), from 1990 to 2023. The highest all-cause mean age at death in 2023 was found in the high-income super-region, where the mean age for females reached 80·9 years (80·9-81·0) and for males 74·8 years (74·8-74·9). By comparison, the lowest all-cause mean age at death occurred in sub-Saharan Africa, where it was 38·0 years (37·5-38·4) for females and 35·6 years (35·2-35·9) for males in 2023. Lastly, our study found that all-cause 70q0 decreased across each GBD super-region and region from 2000 to 2023, although with large variability between them. For females, we found that 70q0 notably increased from drug use disorders and conflict and terrorism. Leading causes that increased 70q0 for males also included drug use disorders, as well as diabetes. In sub-Saharan Africa, there was an increase in 70q0 for many non-communicable diseases (NCDs). Additionally, the mean age at death from NCDs was lower than the expected mean age at death for this super-region. By comparison, there was an increase in 70q0 for drug use disorders in the high-income super-region, which also had an observed mean age at death lower than the expected value. Interpretation: We examined global mortality patterns over the past three decades, highlighting-with enhanced estimation methods-the impacts of major events such as the COVID-19 pandemic, in addition to broader trends such as increasing NCDs in low-income regions that reflect ongoing shifts in the global epidemiological transition. This study also delves into premature mortality patterns, exploring the interplay between age and causes of death and deepening our understanding of where targeted resources could be applied to further reduce preventable sources of mortality. We provide essential insights into global and regional health disparities, identifying locations in need of targeted interventions to address both communicable and non-communicable diseases. There is an ever-present need for strengthened health-care systems that are resilient to future pandemics and the shifting burden of disease, particularly among ageing populations in regions with high mortality rates. Robust estimates of causes of death are increasingly essential to inform health priorities and guide efforts toward achieving global health equity. The need for global collaboration to reduce preventable mortality is more important than ever, as shifting burdens of disease are affecting all nations, albeit at different paces and scales. Funding: Gates Foundation
Global burden of lower respiratory infections and aetiologies, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023
No full textBackground: Lower respiratory infections (LRIs) remain the world’s leading infectious cause of death. This analysis
from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2023 provides global, regional, and
national estimates of LRI incidence, mortality, and disability-adjusted life-years (DALYs), with attribution to
26 pathogens, including 11 newly modelled pathogens, across 204 countries and territories from 1990 to 2023. With
new data and revised modelling techniques, these estimates serve as an update and expansion to GBD 2021. Through
these estimates, we also aimed to assess progress towards the 2025 Global Action Plan for the Prevention and
Control of Pneumonia and Diarrhoea (GAPPD) target for pneumonia mortality in children younger than 5 years.
Methods: Mortality from LRIs, defined as physician-diagnosed pneumonia or bronchiolitis, was estimated using
the Cause of Death Ensemble model with data from vital registration, verbal autopsy, surveillance, and minimally
invasive tissue sampling. The Bayesian meta-regression tool DisMod-MR 2.1 was used to model overall morbidity
due to LRIs. DALYs were calculated as the sum of years of life lost (YLLs) and years lived with disability (YLDs) for
all locations, years, age groups, and sexes. We modelled pathogen-specific case-fatality ratios (CFRs) for each age
group and location using splined binomial regression to create internally consistent estimates of incidence and
mortality proportions attributable to viral, fungal, parasitic, and bacterial pathogens. Progress was assessed
towards the GAPPD target of less than three deaths from pneumonia per 1000 livebirths, which is roughly
equivalent to a mortality rate of less than 60 deaths per 100 000 children younger than 5 years.
Findings: In 2023, LRIs were responsible for 2·50 million (95% uncertainty interval [UI] 2·24–2·81) deaths and
98·7 million (87·7–112) DALYs, with children younger than 5 years and adults aged 70 years and older carrying the
highest burden. LRI mortality in children younger than 5 years fell by 33·4% (10·4–47·4) since 2010, with a global
mortality rate of 94·8 (75·6–116·4) per 100000 person-years in 2023. Among adults aged 70 years and older, the burden
remained substantial with only marginal declines since 2010. A mortality rate of less than 60 deaths per 100000 for
children younger than 5 years was met by 129 of the 204 modelled countries in 2023. At a super-regional level, subSaharan Africa had an aggregate mortality rate in children younger than 5 years (hereafter referred to as under-5
mortality rate) furthest from the GAPPD target. Streptococcus pneumoniae continued to account for the largest number
of LRI deaths globally (634000 [95% UI 565000–721000] deaths or 25·3% [24·5–26·1] of all LRI deaths), followed by
Staphylococcus aureus (271000 [243000–298000] deaths or 10·9% [10·3–11·3]), and Klebsiella pneumoniae (228000
[204000–261000] deaths or 9·1% [8·8–9·5]). Among pathogens newly modelled in this study, non-tuberculous
mycobacteria (responsible for 177000 [95% UI 155000–201000] deaths) and Aspergillus spp (responsible for 67800
[59900–75900] deaths) emerged as important contributors. Altogether, the 11 newly modelled pathogens accounted for
approximately 22% of LRI deaths.
Interpretation: This comprehensive analysis underscores both the gains achieved through vaccination and the
challenges that remain in controlling the LRI burden globally. Furthermore, it demonstrates persistent disparities
in disease burden, with the highest mortality rates concentrated in countries in sub-Saharan Africa. Globally, as
well as in these high-burden locations, the under-5 LRI mortality rate remains well above the GAPPD target.
Progress towards this target requires equitable access to vaccines and preventive therapies—including newer
interventions such as respiratory syncytial virus monoclonal antibodies—and health systems capable of early
diagnosis and treatment. Expanding surveillance of emerging pathogens, strengthening adult immunisation
programmes, and combating vaccine hesitancy are also crucial. As the global population ages, the dual challenge
of sustaining gains in child survival while addressing the rising vulnerability in older adults will shape future
pneumonia control strategies
