Publications by authors named "Ties Boerma"

Background: Population data on mortality and causes of death among 5-19-year-olds are limited.

Objectives: To assess levels, trends, and risk factors of cause-specific mortality and place at death among 5-19-year-olds in Tanzania (1995-2022).

Methods: Using longitudinal data from the Magu Health and Demographic Surveillance System in northwest Tanzania, we identified leading causes of death among 5-19-year-olds from verbal autopsy interviews, using physician review and a Bayesian probabilistic model (InSilicoVA).

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Background: For the past two decades, health priorities in Tanzania have focussed on children under-five, leaving behind the older children and adolescents (5-19 years). Understanding mortality patterns beyond 5 years is important in bridging a healthy gap between childhood to adulthood. We aimed to estimate mortality levels, trends, and inequalities among 5-19-year-olds using population data from the Magu Health and Demographic Surveillance Site (HDSS) in Tanzania and further compare the population level estimates with global estimates.

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Currently, about 8% of deaths worldwide are maternal or neonatal deaths, or stillbirths. Maternal and neonatal mortality have been a focus of the Millenium Development Goals and the Sustainable Development Goals, and mortality levels have improved since the 1990s. We aim to answer two questions: What were the key drivers of maternal and neonatal mortality reductions seen in seven positive-outlier countries from 2000 to the present? How generalisable are the findings?We identified positive-outlier countries with respect to maternal and neonatal mortality reduction since 2000.

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Background: This study aimed to enhance insights into the key characteristics of maternal and neonatal mortality declines in Ethiopia, conducted as part of a seven-country study on Maternal and Newborn Health (MNH) Exemplars.

Methods: We synthesised key indicators for 2000, 2010 and 2020 and contextualised those with typical country values in a global five-phase model for a maternal, stillbirth and neonatal mortality transition. We reviewed health system changes relevant to MNH over the period 2000-2020, focusing on governance, financing, workforce and infrastructure, and assessed trends in mortality, service coverage and systems by region.

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The place of residence is a major determinant of RMNCH outcomes, with rural areas often lagging in sub-Saharan Africa. This long-held pattern may be changing given differential progress across areas and increasing urbanization. We assessed inequalities in child mortality and RMNCH coverage across capital cities and other urban and rural areas.

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Article Synopsis
  • The study investigates slum-like household conditions in the Greater Kampala Metropolitan Area using data from Uganda's Demographic and Health Surveys, revealing that 67% of households were classified as slum-like by 2016, with serious implications for residents' health.
  • Key slum-like conditions identified include substandard housing, lack of clean water, overcrowding, unclean cooking fuel, and limited toilet access, which are associated with lower education levels and unprofessional jobs among residents.
  • Children living in slum-like conditions faced higher risks of illnesses like diarrhea, fever, anemia, and stunting, yet those in such conditions were less likely to seek treatment for fever, highlighting the urgent need for health interventions focused
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The 'urban penalty' in health refers to the loss of a presumed survival advantage due to adverse consequences of urban life. This study investigated the levels and trends in neonatal, post-neonatal and under-5 mortality rate and key determinants of child survival using data from Tanzania Demographic and Health Surveys (TDHS) (2004/05, 2010 and 2015/16), AIDS Indicator Survey (AIS), Malaria Indicator survey (MIS) and health facility data in Tanzania mainland. We compared Dar es Salaam results with other urban and rural areas in Tanzania mainland, and between the poorest and richest wealth tertiles within Dar es Salaam.

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Identifying and classifying poor and rich groups in cities depends on several factors. Using data from available nationally representative surveys from 38 sub-Saharan African countries, we aimed to identify, through different poverty classifications, the best classification in urban and large city contexts. Additionally, we characterized the poor and rich groups in terms of living standards and schooling.

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Rapid urbanization is likely to be associated with suboptimal access to essential health services. This is especially true in cities from sub-Saharan Africa (SSA), where urbanization is outpacing improvements in infrastructure. We assessed the current situation in regard to several markers of maternal, newborn, and child health, including indicators of coverage of health interventions (demand for family planning satisfied with modern methods, at least four antenatal care visits (ANC4+), institutional birth, and three doses of DPT vaccine[diphtheria, pertussis and tetanus]) and health status (stunting in children under 5 years, neonatal and under-5 mortality rates) among the poor and non-poor in the most populous cities from 38 SSA countries.

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Background: Routine health facility data provides the opportunity to monitor progress in quality and uptake of health care continuously. Our study aimed to assess the reliability and usefulness of emergency obstetric care data including temporal and regional variations over the past five years in Tanzania Mainland.

Methods: Data were compiled from the routine monthly district reports compiled as part of the health management information systems for 2016-2020.

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Article Synopsis
  • This study critiques the use of proportional hazards models for analyzing age at first sex (AFS) data, advocating for accelerated failure time (AFT) and restricted mean survival time (RMST) models as more effective alternatives.
  • Using self-reported data from surveys conducted between 1994 and 2020 in Tanzania, the study found that AFT models consistently provided a better fit than Cox regression models based on Akaike information criterion (AIC) and Bayesian information criterion (BIC).
  • Key findings revealed that factors such as gender, education level, cell phone ownership, alcohol consumption, and employment significantly influenced the timing of sexual debut, indicating that females and those in higher education experienced a delayed AFS compared to their male
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Article Synopsis
  • The text discusses a new model for understanding maternal mortality, stillbirths, and neonatal deaths, highlighting how these issues are interconnected and often analyzed separately, despite affecting nearly 5 million lives annually.* -
  • Researchers developed a five-phase transition model based on data from 151 countries, where lower phases indicate higher mortality rates, to track progress from 2000 to 2020 and to evaluate factors influencing health outcomes.* -
  • Findings showed that many countries advanced in their transition phases, with improvements in mortality ratios and health service coverage, particularly in professional healthcare delivery, antenatal care, and reduced fertility rates, indicating overall progress in maternal and neonatal health.*
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Background: Although Zambia has achieved notable improvements in reproductive, maternal, newborn and child health (RMNCH), continued efforts to address gaps are essential to reach the Sustainable Development Goals by 2030. Research to better uncover who is being most left behind with poor health outcomes is crucial. This study aimed to understand how much more demographic health surveys can reveal about Zambia's progress in reducing inequalities in under-five mortality rates and RMNCH intervention coverage.

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Background: In most low-income and middle-income countries (LMICs), national surveys are the main data source for stillbirths and perinatal mortality. Data quality issues such as under-reporting and misreporting have greatly limited the usefulness of such data. We aimed to enhance the use of mortality data in surveys by proposing data quality metrics and exploring adjustment procedures to obtain the best possible measure of perinatal mortality.

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Background: Zambia experienced a major decline in under-five mortality rates (U5MR), with one of the fastest declines in socio-economic disparities in sub-Saharan Africa in the last two decades. We aimed to understand the extent to which, and how, Zambia has reduced socio-economic inequalities in U5MR since 2000.

Methods: Using nationally-representative data from Zambia Demographic Health Surveys (2001/2, 2007, 2013/14 and 2018), we examined trends and levels of inequalities in under-five mortality, intervention coverage, household water and sanitation, and fertility.

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Background: Within-country inequalities in birth registration coverage (BRC) have been documented according to wealth, place of residence and other household characteristics. We investigated whether sex of the head of household was associated with BRC.

Methods: Using data from nationally-representative surveys (Demographic and Health Survey or Multiple Indicator Cluster Survey) from 93 low and middle-income countries (LMICs) carried out in 2010 or later, we developed a typology including three main types of households: male-headed (MHH) and female-led with or without an adult male resident.

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Background: Female-headed households (FHHs) are regarded as disadvantaged. There are multiple social trajectories that can lead to women heading households. It is important to distinguish between these trajectories, as well as societal norms and contextual factors, to understand how and when are FHHs represented as a dimension of gender inequity.

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Introduction: There are concerns about the impact of the COVID-19 pandemic on the continuation of essential health services in sub-Saharan Africa. Through the Countdown to 2030 for Women's, Children's and Adolescents' Health country collaborations, analysts from country and global public health institutions and ministries of health assessed the trends in selected services for maternal, newborn and child health, general service utilisation.

Methods: Monthly routine health facility data by district for the period 2017-2020 were compiled by 12 country teams and adjusted after extensive quality assessments.

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Background: Sub-Saharan countries bear a disproportionate percentage of HIV infections and HIV-related deaths despite the efforts to strengthen HIV prevention and treatments services, including ART. It is important to demonstrate how these services have contributed to reducing the epidemic using available population data.

Methods: We estimated the prevalence and incidence rates from a cohort running over 23 years in Magu District, Mwanza Region-North West Tanzania.

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Research is needed to understand why some countries succeed in greater improvements in maternal, late foetal and newborn health (MNH) and reducing mortality than others. Pathways towards these health outcomes operate at many levels, making it difficult to understand which factors contribute most to these health improvements. Conceptual frameworks provide a cognitive means of rendering order to these factors and how they interrelate to positively influence MNH.

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Background: In conflict-affected settings, data on reproductive, maternal, newborn and child health (RMNCH) are often lacking for priority setting and timely decision-making. We aimed to describe the levels and trends in RMNCH indicators within Kivu provinces between 2015 and 2018, by linking conflict data with health facility (HF) data from the District Health Information System 2 (DHIS2).

Methods: We used data from the DHIS2 for the period 2015-2018, the 2014 Demographic and Health Survey, the 2018 Multiple Indicators Cluster Survey and the Uppsala Conflict Data Program.

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