Public health utility of cause of death data: applying empirical algorithms to improve data quality.

BACKGROUND: Accurate, comprehensive, cause-specific mortality estimates are crucial for informing public health decision making worldwide. Incorrectly or vaguely assigned deaths, defined as garbage-coded deaths, mask the true cause distribution. The Global Burden of Disease (GBD) study has developed methods to create comparable, timely, cause-specific mortality estimates; an impactful data processing method is the reallocation of garbage-coded deaths to a plausible underlying cause of death. We identify the pattern of garbage-coded deaths in the world and present the methods used to determine their redistribution to generate more plausible cause of death assignments. METHODS: We describe the methods developed for the GBD 2019 study and subsequent iterations to redistribute garbage-coded deaths in vital registration data to plausible underlying causes. These methods include analysis of multiple cause data, negative correlation, impairment, and proportional redistribution. We classify garbage codes into classes according to the level of specificity of the reported cause of death (CoD) and capture trends in the global pattern of proportion of garbage-coded deaths, disaggregated by these classes, and the relationship between this proportion and the Socio-Demographic Index. We examine the relative importance of the top four garbage codes by age and sex and demonstrate the impact of redistribution on the annual GBD CoD rankings. RESULTS: The proportion of least-specific (class 1 and 2) garbage-coded deaths ranged from 3.7% of all vital registration deaths to 67.3% in 2015, and the age-standardized proportion had an overall negative association with the Socio-Demographic Index. When broken down by age and sex, the category for unspecified lower respiratory infections was responsible for nearly 30% of garbage-coded deaths in those under 1 year of age for both sexes, representing the largest proportion of garbage codes for that age group. We show how the cause distribution by number of deaths changes before and after redistribution for four countries: Brazil, the United States, Japan, and France, highlighting the necessity of accounting for garbage-coded deaths in the GBD. CONCLUSIONS: We provide a detailed description of redistribution methods developed for CoD data in the GBD; these methods represent an overall improvement in empiricism compared to past reliance on a priori knowledge.

Building alliances for improving newborn health in Latin America and the Caribbean / Alianzas para mejorar la salud de los recién nacidos en América Latina y el Caribe

The regional Latin American and Caribbean (LAC) Neonatal Alliance and national neonatal alliances in Bolivia, El Salvador, and Peru were studied through in-depth interviews and a review of publications. Findings were analyzed to distill successful strategies, structures, and tools for improving neonatal health by working through alliances that can be replicated at the regional or national level. The studies found the following factors were the most critical for successful outcomes from alliance work: inclusion of the Ministry of Health as a leader or primary stakeholder; a committed, diverse, technically expert, and horizontal membership; the presence of champions for neonatal health at the national level; development of a shared work plan based on feasible objectives; the use of shared financing mechanisms; the use of informal and dynamic organizational structures; and a commitment to scientific evidence-based programming. The relationship between the regional and national alliances was found to be mutually beneficial.

Se estudiaron la Alianza de Salud Neonatal para América Latina y el Caribe a escala regional, y las alianzas nacionales de salud neonatal de Bolivia, El Salvador y Perú, mediante entrevistas exhaustivas y un análisis de las publicaciones. Se analizaron los resultados para extraer las estrategias, las estructuras y las herramientas eficaces para mejorar la salud neonatal trabajando mediante alianzas que puedan repetirse a escala regional o nacional. Los estudios descubrieron que los factores más decisivos para obtener resultados exitosos del trabajo mediante alianzas fueron los siguientes: la inclusión de los ministerios de salud como líderes o interesados directos principales; una afiliación comprometida, diversa, técnicamente experta y horizontal; la presencia de promotores de la salud neonatal a escala nacional; la formulación de un plan de trabajo compartido basado en objetivos factibles; la utilización de mecanismos de financiamiento compartido; el uso de estructuras organizativas informales y dinámicas; y un compromiso con la programación científica basada en datos probatorios. Se observó que la relación entre las alianzas regionales y nacionales resultaba mutuamente beneficiosa.