[Guidelines for Accurate and Transparent Health Estimates Reporting: the GATHER Statement]. / Diretrizes para o relato preciso e transparente de estimativas de saúde: a Declaração GATHER.

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 (http://gather-statement.org).

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.

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

Gretchen Stevens and colleagues present the GATHER statement, which seeks to promote good practice in the reporting of global health estimates.

India's Janani Suraksha Yojana, a conditional cash transfer programme to increase births in health facilities: an impact evaluation.

BACKGROUND: In 2005, with the goal of reducing the numbers of maternal and neonatal deaths, the Government of India launched Janani Suraksha Yojana (JSY), a conditional cash transfer scheme, to incentivise women to give birth in a health facility. We independently assessed the effect of JSY on intervention coverage and health outcomes. METHODS: We used data from the nationwide district-level household surveys done in 2002-04 and 2007-09 to assess receipt of financial assistance from JSY as a function of socioeconomic and demographic characteristics; and used three analytical approaches (matching, with-versus-without comparison, and differences in differences) to assess the effect of JSY on antenatal care, in-facility births, and perinatal, neonatal, and maternal deaths. FINDINGS: Implementation of JSY in 2007-08 was highly variable by state-from less than 5% to 44% of women giving birth receiving cash payments from JSY. The poorest and least educated women did not always have the highest odds of receiving JSY payments. JSY had a significant effect on increasing antenatal care and in-facility births. In the matching analysis, JSY payment was associated with a reduction of 3.7 (95% CI 2.2-5.2) perinatal deaths per 1000 pregnancies and 2.3 (0.9-3.7) neonatal deaths per 1000 livebirths. In the with-versus-without comparison, the reductions were 4.1 (2.5-5.7) perinatal deaths per 1000 pregnancies and 2.4 (0.7-4.1) neonatal deaths per 1000 livebirths. INTERPRETATION: The findings of this assessment are encouraging, but they also emphasise the need for improved targeting of the poorest women and attention to quality of obstetric care in health facilities. Continued independent monitoring and evaluations are important to measure the effect of JSY as financial and political commitment to the programme intensifies. FUNDING: Bill & Melinda Gates Foundation.

Tobacco and hazardous or harmful alcohol use in Thailand: joint prevalence and associations with socioeconomic factors.

This study estimates the individual and joint prevalence of cigarette smoking and alcohol misuse, and examines the association between these risks and socioeconomic factors in Thailand. The self-reported data on cigarette and alcohol use are from a 2004 nationally representative cross-sectional survey of 39290 individuals aged 15 and over. Substantially more men than women were current smokers (45.8% vs. 2.3%; p<0.001) as well as harmful (5.4% vs. 0.9%, p<0.0001) and hazardous alcohol users (11.2% vs. 1.2%, p<0.001). The strongest predictor of alcohol misuse was smoking, and the strongest predictor of smoking was alcohol misuse in both sexes. There was an inverse relationship between education and family income with the odds of current smoking, whereas average levels of family income (not low or high) were associated with higher odds of harmful or hazardous alcohol use. Tobacco and alcohol misuse could be more effectively addressed by targeting and tailoring programs towards those who are most at risk - joint tobacco and harmful or hazardous alcohol users, and those of lower socioeconomic status.

Improving child survival through environmental and nutritional interventions: the importance of targeting interventions toward the poor.

CONTEXT: The United Nations Millennium Development Goals (MDGs) set targets related to important global poverty, health, and sustainability issues. A critical but underinvestigated question for planning and allocating resources toward the MDGs is how interventions related to one MDG might affect progress toward other goals. OBJECTIVES: To estimate the reduction in child mortality as a result of interventions related to the environmental and nutritional MDGs (improving child nutrition and providing clean water, sanitation, and fuels) and to estimate how the magnitude and distribution of the effects of interventions vary based on the economic status of intervention recipients. DESIGN, SETTING, AND POPULATION: Population-level comparative risk assessment modeling the mortality effects of interventions on child nutrition and environmental risk factors, stratified by economic status. Data on economic status, child underweight, water and sanitation, and household fuels were from the nationally representative Demographic and Health Surveys for 42 countries in Latin America and the Caribbean, South Asia, and sub-Saharan Africa. Data on disease-specific child mortality were from the World Health Organization. Data on the hazardous effects of each MDG-related risk factor were from systematic reviews and meta-analyses of epidemiological studies. MAIN OUTCOME MEASURE: Child mortality, stratified by comparable international quintiles of economic status. RESULTS: Implementing interventions that improve child nutrition and provide clean water and sanitation and clean household fuels to all children younger than 5 years would result in an estimated annual reduction in child deaths of 49,700 (14%) in Latin America and the Caribbean, 0.80 million (24%) in South Asia, and 1.47 million (31%) in sub-Saharan Africa. These benefits are equivalent to 30% to 48% of the current regional gaps toward the MDG target on reducing child mortality. Fifty percent coverage of the same environmental and nutritional interventions, as envisioned by the MDGs, would reduce child mortality by 26,900, 0.51 million, and 1.02 million in the 3 regions, respectively, if the interventions are implemented among the poor first. These reductions are 30% to 75% larger than those expected if the same 50% coverage first reached the wealthier households, who nonetheless are in need of similar interventions. CONCLUSIONS: Interventions related to nutritional and environmental MDGs can also provide substantial gains toward the MDG of reducing child mortality. To maximize the reduction in childhood mortality, such integrated management of interventions should prioritize the poor.

Reductions in child mortality levels and inequalities in Thailand: analysis of two censuses.

BACKGROUND: Thailand's progress in reducing the under-five mortality rate (U5MR) puts the country on track to achieve the fourth Millennium Development Goal (MDG). Whether this success has been accompanied by a widening or narrowing of the child mortality gap between the poorest and richest populations is unknown. We aimed to measure changes in child-mortality inequalities by household-level socioeconomic strata of the Thai population between 1990 and 2000. METHODS: We measured changes in the distribution of the U5MR by economic strata using data from the 1990 and 2000 censuses. Economic status was measured using household assets and characteristics. The U5MR was estimated using the Trussell version of the Brass indirect method. FINDINGS: Average household economic status improved and inequalities declined between the two censuses. There were substantially larger reductions in U5MR in the poorer segments of the population. Excess child mortality risk between the poorest and richest quintile decreased by 55% (95% CI 39% to 68%). The concentration index, measured using percentiles of economic status, in 1990 was -0.20 (-0.23 to -0.18), whereas in 2000 it had dropped to -0.12 (-0.15 to -0.08), a 43% (22% to 63%) reduction. INTERPRETATION: These findings draw attention to the feasibility of incorporating equity measurement into census data. Thailand has achieved both an impressive average decrease in U5MR and substantial reductions in U5MR inequality over a 10 year period. Contributing factors include overall economic growth and poverty reduction, improved insurance coverage, and a scaling-up and more equitable distribution of primary health-care infrastructure and intervention coverage. Understanding the factors that have led to Thailand's success could help inform countries struggling to meet the fourth MDG and reduce inequality.