Comparison of survival analysis approaches to modelling age at first sex among youth in Kisesa Tanzania.

BACKGROUND: Many studies analyze sexual and reproductive event data using descriptive life tables. Survival analysis has better power to estimate factors associated with age at first sex (AFS), but proportional hazards models may not be right model to use. This study used accelerated failure time (AFT) models, restricted Mean Survival time model (RMST) models, with semi and non-parametric methods to assess age at first sex (AFS), factors associated with AFS, and verify underlying assumptions for each analysis. METHODS: Self-reported sexual debut data was used from respondents 15-24 years in eight cross-sectional surveys between 1994-2016, and from adolescents' survey in an observational community study (2019-2020) in northwest Tanzania. Median AFS was estimated in each survey using non-parametric and parametric models. Cox regression, AFT parametric models (exponential, gamma, generalized gamma, Gompertz, Weibull, log-normal and log-logistic), and RMST were used to estimate and identify factors associated with AFS. The models were compared using Akaike information criterion (AIC) and Bayesian information criterion (BIC), where lower values represent a better model fit. RESULTS: The results showed that in every survey, the Cox regression model had higher AIC and BIC compared to the other models. Overall, AFT had the best fit in every survey round. The estimated median AFS using the parametric and non-parametric methods were close. In the adolescent survey, log-logistic AFT showed that females and those attending secondary and higher education level had a longer time to first sex (Time ratio (TR) = 1.03; 95% CI: 1.01-1.06, TR = 1.05; 95% CI: 1.02-1.08, respectively) compared to males and those who reported not being in school. Cell phone ownership (TR = 0.94, 95% CI: 0.91-0.96), alcohol consumption (TR = 0.88; 95% CI: 0.84-0.93), and employed adolescents (TR = 0.95, 95% CI: 0.92-0.98) shortened time to first sex. CONCLUSION: The AFT model is better than Cox PH model in estimating AFS among the young population

Comparison of survival analysis approaches to modelling age at first sex among youth in Kisesa Tanzania. S1 Questionnaire

Document containing selected questions covered in eight cross-sectional surveys between 1994–2016 and an adolescents’ survey performed as part of an observational community study during 2019–2020. Question list supports the paper, "Comparison of survival analysis approaches to modelling age at first sex among youth in Kisesa Tanzania"

Using health surveillance systems data to assess the impact of AIDS and antiretroviral treatment on adult morbidity and mortality in Botswana

Introduction: Botswana's AIDS response included free antiretroviral treatment (ART) since 2002, achieving 80% coverage of persons with CD450% and >30% through 2011, while continuing to increase in older women. Conclusions: Adult mortality in Botswana fell markedly as ART coverage increased. HIV prevalence declines may reflect ART-associated reductions in sexual transmission. Triangulation of surveillance system data offers a reasonable approach to evaluate impact of HIV/AIDS interventions, complementing cohort approaches that monitor individual-level health outcomes

Guidelines for Accurate and Transparent Health Estimates Reporting: the GATHER statement

Measurements of health indicators are rarely available for every population and period of interest, and available data may not be comparable. The Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER) define best reporting practices for studies that calculate health estimates for multiple populations (in time or space) using multiple information sources. Health estimates that fall within the scope of GATHER include all quantitative population-level estimates (including global, regional, national, or subnational estimates) of health indicators, including indicators of health status, incidence and prevalence of diseases, injuries, and disability and functioning; and indicators of health determinants, including health behaviours and health exposures. GATHER comprises a checklist of 18 items that are essential for best reporting practice. A more detailed explanation and elaboration document, describing the interpretation and rationale of each reporting item along with examples of good reporting, is available on the GATHER website

Revising the WHO verbal autopsy instrument to facilitate routine cause-of-death monitoring.

OBJECTIVE: Verbal autopsy (VA) is a systematic approach for determining causes of death (CoD) in populations without routine medical certification. It has mainly been used in research contexts and involved relatively lengthy interviews. Our objective here is to describe the process used to shorten, simplify, and standardise the VA process to make it feasible for application on a larger scale such as in routine civil registration and vital statistics (CRVS) systems. METHODS: A literature review of existing VA instruments was undertaken. The World Health Organization (WHO) then facilitated an international consultation process to review experiences with existing VA instruments, including those from WHO, the Demographic Evaluation of Populations and their Health in Developing Countries (INDEPTH) Network, InterVA, and the Population Health Metrics Research Consortium (PHMRC). In an expert meeting, consideration was given to formulating a workable VA CoD list [with mapping to the International Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) CoD] and to the viability and utility of existing VA interview questions, with a view to undertaking systematic simplification. FINDINGS: A revised VA CoD list was compiled enabling mapping of all ICD-10 CoD onto 62 VA cause categories, chosen on the grounds of public health significance as well as potential for ascertainment from VA. A set of 221 indicators for inclusion in the revised VA instrument was developed on the basis of accumulated experience, with appropriate skip patterns for various population sub-groups. The duration of a VA interview was reduced by about 40% with this new approach. CONCLUSIONS: The revised VA instrument resulting from this consultation process is presented here as a means of making it available for widespread use and evaluation. It is envisaged that this will be used in conjunction with automated models for assigning CoD from VA data, rather than involving physicians

Data Resource Profile: The World Health Organization Study on global AGEing and adult health (SAGE)

Population ageing is rapidly becoming a global issue and will have a major impact on health policies and programmes. The World Health Organization's Study on global AGEing and adult health (SAGE) aims to address the gap in reliable data and scientific knowledge on ageing and health in low- and middle-income countries. SAGE is a longitudinal study with nationally representative samples of persons aged 50+ years in China, Ghana, India, Mexico, Russia and South Africa, with a smaller sample of adults aged 18-49 years in each country for comparisons. Instruments are compatible with other large high-income country longitudinal ageing studies. Wave 1 was conducted during 2007-2010 and included a total of 34 124 respondents aged 50+ and 8340 aged 18-49. In four countries, a subsample consisting of 8160 respondents participated in Wave 1 and the 2002/04 World Health Survey (referred to as SAGE Wave 0). Wave 2 data collection will start in 2012/13, following up all Wave 1 respondents. Wave 3 is planned for 2014/15. SAGE is committed to the public release of study instruments, protocols and meta- and micro-data: access is provided upon completion of a Users Agreement available through WHO's SAGE website (www.who.int/healthinfo/systems/sage) and WHO's archive using the National Data Archive application (http://apps.who.int/healthinfo/systems/surveydata

Maternal education and child survival: A comparative study of survey data from 17 countries

A uniform analytical methodology was applied to survey data from 17 developing countries with the aim of addressing a series of questions regarding the positive statistical association between maternal education and the health and survival of children under age two. As has been observed previously, the education advantage in survival was less pronounced during than after the neonatal period. Strong but varying education effects on postneonatal risk, undernutrition during the 3-23 month period, and non-use of health services were shown--although a large part of these associations are the result of education's strong link to household economics. Differential use of basic health services, though closely tied to a mother's educational level, does little to explain the education advantage in child health and survival. However, the issue of the actual quality of services measured in the DHS is raised. Other issues concerning the roles of the pattern of family formation and differential physical access to health services are explored and discussed.childhood mortality education comparative

Eight survey rounds and adolescent survey used for this study

Dataset associated with the paper, "Comparison of survival analysis approaches to modelling age at first sex among youth in Kisesa Tanzania"

Diretrizes para o relato preciso e transparente de estimativas de saúde: a Declaração GATHER

Resumo Mensurações de indicadores de saúde raramente estão disponíveis para todas as populações e períodos de interesse, e os dados disponíveis podem não ser comparáveis. As Diretrizes para o Relato Transparente e Preciso de Estimativas de Saúde (Declaração GATHER) definem as melhores práticas para redação de estudos que calculam estimativas de saúde para várias populações, no tempo ou espaço, usando múltiplas fontes de informação. As estimativas de saúde que se enquadram no escopo da Declaração GATHER incluem todas as estimativas quantitativas de indicadores de saúde em nível populacional (estimativas globais, regionais, nacionais ou subnacionais), abrangendo indicadores da situação de saúde, da incidência e prevalência de doenças, lesões e incapacidades, e funcionalidades; e indicadores de determinantes da saúde, incluindo comportamentos e exposições de saúde. A Declaração GATHER compreende uma lista de 18 itens que são essenciais para as melhores práticas de redação. Um documento mais detalhado sobre a explicação e elaboração das diretrizes, que descreve a interpretação e a base lógica de cada item a ser relatado, juntamente com exemplos de boas redações, está disponível no site da Declaração GATHER (http://gather-statement.org)