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[ABSTRACT]. Objectives. To present a methodology for the simultaneous setting of quantitative targets that reflect both an improvement in the national average of an indicator for Sustainable Development Goal 3 (SDG3), as well as a reduction in its geographic inequality. Methods. A five-step algorithm was developed: (a) calculate the national average annual percent change (AAPC) for an SDG3 indicator; (b) normatively define geographic strata from the subnational distribution of the indicator in a baseline year; (c) apply a proportional progressivity criterion to the AAPC to project the stratum-specific indicator value for the target year; (d) set the national target as the weighted average of the indicator in the subnational territorial units for the target year; and (e) set the inequality reduction targets by calculating the absolute and relative gaps between the bottom and top strata for the target year. Results. The algorithm was applied to SDG indicator 3.1.1 (maternal mortality ratio, MMR), disaggregated by Guatemala’s 22 departments at the baseline year 2014 (MMR = 113 per 100,000 live births). By sustaining the AAPC rate attained from 2009 to 2014 (-4.3%) and focalizing its actions with territorial progressivity, by 2030 the country could reduce its MMR to 53 per 100,000 and its absolute and relative inequality gaps by 72% and 48%, respectively. Conclusions. The proposed methodology allows for simultaneously setting targets for overall progress and inequality reduction in health, making explicit the primacy of the equity principle contained in the SDG commitment to leave no one behind, whose urgency takes on renewed relevance in the current pandemic scenario.

[RESUMEN]. Objetivos. Presentar una metodología para la formulación simultánea de metas cuantitativas que reflejen tanto la mejoría del promedio nacional de un indicador del tercer Objetivo de Desarrollo Sostenible (ODS3) como la reducción de su desigualdad geográfica. Métodos. Se definió un algoritmo en cinco pasos: a) cálculo del cambio porcentual anual promedio (CPAP) nacional para un indicador del ODS3; b) definición normativa de estratos geográficos a partir de la distribución subnacional del indicador en un año base; c) aplicación de un criterio de progresividad proporcional del CPAP para proyectar el indicador estrato-específico al año meta; d) establecimiento de la meta nacional como el promedio ponderado del indicador en las unidades territoriales subnacionales al año meta; y e) formulación de metas de reducción de desigualdad mediante el cálculo de las brechas absoluta y relativa entre los estratos extremos al año meta. Resultados. Se aplicó el algoritmo al indicador ODS 3.1.1 (razón de mortalidad materna, RMM), desagregado por los 22 departamentos de Guatemala para el año base 2014 (RMM = 113 por 100 000 nacidos vivos). Sosteniendo la intensidad promedio de CPAP observada entre 2009 y 2014 (-4,3%) y focalizando sus acciones con progresividad territorial, el país reduciría al 2030 su RMM a 53 por 100 000 nacidos vivos y sus brechas absoluta y relativa en 72% y 48%, respectivamente. Conclusiones. La metodología propuesta permite formular simultáneamente metas de reducción de las desigualdades geográficas en salud y hacer explícita la primacía del principio de equidad expresado en el compromiso de no dejar a nadie atrás que identifica a los ODS, cuya urgencia cobra renovada relevancia en el escenario pospandémico actual.

[RESUMO]. Objetivos. Apresentar uma metodologia para a formulação simultânea de metas quantitativas que reflitam tanto a melhoria da média nacional de um indicador do terceiro Objetivo de Desenvolvimento Sustentável (ODS3) quanto a redução das desigualdades geográfica nesse indicador. Métodos. Estabelecemos um algoritmo em cinco etapas: (a) cálculo da variação percentual anual média (VPAM) em um país para um indicador do ODS3, (b) definição normativa de estratos geográficos a partir da distribuição subnacional do indicador em um ano base, (c) aplicação de um critério de progressividade proporcional da VPAM para projetar o indicador específico do estrato para o ano base, (d) estabelecimento da meta nacional como a média ponderada do indicador nas unidades territoriais subnacionais para o ano alvo e (e) estabelecimento de metas para a redução das desigualdades calculando a disparidade absoluta e relativa entre os estratos extremos para o ano alvo. Resultados. Aplicamos o algoritmo ao indicador ODS 3.1.1 (razão de mortalidade materna, RMM), desagregado pelos 22 departamentos da Guatemala para o ano base de 2014 (RMM = 113 por 100.000 nascidos vivos). Se mantiver a intensidade média da VPAM observada entre 2009 e 2014 (-4,3%) e concentrar as suas ações com progressividade territorial, o país reduzirá, até 2030, a sua RMM para 53 por 100.000 e sua disparidade absoluta e relativa em 72% e 48%, respectivamente. Conclusões. A metodologia proposta permite formular simultaneamente metas para a redução das desigualdades geográficas em saúde e explicitar a primazia do princípio da equidade expresso no compromisso de não deixar ninguém para trás consagrado nos ODS, cuja urgência assume uma relevância renovada no atual cenário pós-pandêmico.

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BACKGROUND: Preprints are preliminary reports that have not been peer-reviewed. In December 2019, a novel coronavirus appeared in China, and since then, scientific production, including preprints, has drastically increased. In this study, we intend to evaluate how often preprints about COVID-19 were published in scholarly journals and cited. METHODS: We searched the iSearch COVID-19 portfolio to identify all preprints related to COVID-19 posted on bioRxiv, medRxiv, and Research Square from January 1, 2020, to May 31, 2020. We used a custom-designed program to obtain metadata using the Crossref public API. After that, we determined the publication rate and made comparisons based on citation counts using non-parametric methods. Also, we compared the publication rate, citation counts, and time interval from posting on a preprint server to publication in a scholarly journal among the three different preprint servers. RESULTS: Our sample included 5,061 preprints, out of which 288 were published in scholarly journals and 4,773 remained unpublished (publication rate of 5.7%). We found that articles published in scholarly journals had a significantly higher total citation count than unpublished preprints within our sample (p < 0.001), and that preprints that were eventually published had a higher citation count as preprints when compared to unpublished preprints (p < 0.001). As well, we found that published preprints had a significantly higher citation count after publication in a scholarly journal compared to as a preprint (p < 0.001). Our results also show that medRxiv had the highest publication rate, while bioRxiv had the highest citation count and shortest time interval from posting on a preprint server to publication in a scholarly journal. CONCLUSIONS: We found a remarkably low publication rate for preprints within our sample, despite accelerated time to publication by multiple scholarly journals. These findings could be partially attributed to the unprecedented surge in scientific production observed during the COVID-19 pandemic, which might saturate reviewing and editing processes in scholarly journals. However, our findings show that preprints had a significantly lower scientific impact, which might suggest that some preprints have lower quality and will not be able to endure peer-reviewing processes to be published in a peer-reviewed journal.

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Abstract Introduction: Latin America and the Caribbean (LAC) is one of the regions most affected by the COVID-19 pandemic. Yet, there is scarce literature addressing the research strategies developed in LAC to face COVID-19. Objective: To quantify and assess the production of scientific publications about COVID-19 in 32 countries of LAC between January 1 and July 31, 2020. Materials and methods: Bibliometric study. Scientific papers on COVID-19 conducted in LAC or reporting data pertaining to LAC and published between January 1 to July 31, 2020, were searched in the Scopus, PubMed, and LILACS databases. A subgroup analysis including only original research articles was performed to determine the contribution of LAC countries to research on COVID-19, and standardization measures (# of articles per million people) were applied to compare the country-specific production of this type of articles. Results: A total of 1 291 publications were retrieved. Overall, most of them were non-original research articles (81.72%), and the countries with the highest scientific production were Brazil (43.91%) and Mexico (9.14%). However, after applying the standardization measures, Chile was the country with the highest production of original articles (0.58 per million inhabitants). Regarding original studies (n=236), cross-sectional design was the most common (25.84%). Diagnosis and treatment of the disease was the main research focus (n=354; 27.42%). However, in the subgroup analysis (n=236), epidemiology and surveillance were the most prevalent research focus (n=57; 24.15%). Conclusions: During the study period, non-original research articles were predominant in the scientific production of the LAC region, and interventional studies were scarce among original articles, while the cross-sectional design predominated. Further research with a better quality of evidence should be performed in these countries to contribute to the making of health policies aimed at easing the burden of COVID-19 in the region and preparing for future pandemics.

Resumen Introducción. Latinoamérica y el Caribe (LAC) es una de las regiones más afectadas por la pandemia por COVID-19. Sin embargo, hay poca literatura sobre las estrategias de investigación desarrolladas en la región para confrontar esta enfermedad. Objetivo. Cuantificar y evaluar la producción de publicaciones científicas sobre COVID-19 en 32 países de LAC entre el 1 de enero y el 31 de julio del 2020. Materiales y métodos. Estudio bibliométrico. Se realizó una búsqueda de artículos científicos sobre COVID-19 realizados en LAC o con datos de LAC, y publicados entre enero 1 y julio 31 de 2020 en Scopus, PubMed y LILACS. Se realizó un análisis de subgrupos en el que se incluyeron solo artículos de investigación original para determinar la contribución de los países de la región a la investigación sobre COVID-19; además, se utilizaron medidas de estandarización (# artículos por millón de habitantes) para comparar la producción de este tipo de artículos por país. Resultados. Se identificaron 1 291 artículos. La mayoría no eran investigaciones originales (81.72%), y los países con más producción fueron Brasil (43.91%) y México (9.14%). Sin embargo, luego de aplicar las medidas de estandarización, Chile fue el país con mayor producción de artículos originales (0.58 por millón de habitantes). Respecto a los artículos originales (n = 236), el tipo de diseño de estudio más común fue el transversal (25.84%). El diagnóstico y tratamiento de COVID-19 fue el tema más investigado en todas las publicaciones (n = 354, 27.42%), pero en el análisis de subgrupo (n=236), el enfoque de investigación más frecuente fue epidemiologia y vigilancia (n = 57, 24.15%). Conclusiones. En el periodo de estudio, los artículos no originales predominaron en la producción científica de LAC, y, entre las investigaciones originales, los estudios intervencionales escasearon, mientras que los transversales predominaron. Se requiere realizar más investigación con una mejor calidad de evidencia en los países de la región para contribuir en la formulación de políticas de salud dirigidas a aliviar la carga de la COVID-19 y para prepararse para futuras pandemias.

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Background: Over the past decade, the political movement called 'Revolución Ciudadana' implemented a variety of policies and interventions (P&I) in Ecuador to improve higher education and strengthen local research capacity. We refer specifically to the 'Mandato 14' and the Higher Education Law (LOES, Spanish acronym) launched in 2008 and 2010, respectively. Objective: To assess the impact of these P&I (Mandato 14/LOES) on the production of health sciences-related articles (HSRA), and the relationship of these HSRA with the country's health priorities. Methods: A Scopus search was performed to retrieve HSRA published from 1999 to 2017. Bivariate analysis was used to assess variation between the period I (1999-2008) and period II (2009-2017). Further, we examined the association between the top 10 causes of mortality and the total HSRA output. Results: The final study sample consisted of 2784 articles. After 2008, Ecuadorian production of HSRA increased steadily from 671 to 2133 publications (p<.001). Overall (1999-2017), the most common study design was cross-sectional (32.3%), the primary research focus was in the clinical-surgical area (49.3%), and the academic institutions were the primary drivers of scientific production during period II (56.9% vs. 29.5%, p<.001). Further, we found a decrease in the production of randomized controlled trials (6.7% vs. 1.8%, p<.001). Only 9% of research production involved the primary causes of mortality, and the proportion has remained unchanged over time (8.2% vs. 9.3%, p>.05). Conclusions: Ecuadorian HSRA output increased significantly after 2008. This larger volume of scientific output could be the result to the Mandato 14/LOES implemented in the last decade. However, a low percentage of HSRA are dedicated to addressing the country's health priorities. Proper planning, execution and monitoring of national health research agendas would reduce the mismatch between health burden and the HSRA output in Ecuador and other low-and middle-income countries.

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ABSTRACT Objectives. To present a methodology for the simultaneous setting of quantitative targets that reflect both an improvement in the national average of an indicator for Sustainable Development Goal 3 (SDG3), as well as a reduction in its geographic inequality. Methods. A five-step algorithm was developed: (a) calculate the national average annual percent change (AAPC) for an SDG3 indicator; (b) normatively define geographic strata from the subnational distribution of the indicator in a baseline year; (c) apply a proportional progressivity criterion to the AAPC to project the stratum-specific indicator value for the target year; (d) set the national target as the weighted average of the indicator in the subnational territorial units for the target year; and (e) set the inequality reduction targets by calculating the absolute and relative gaps between the bottom and top strata for the target year. Results. The algorithm was applied to SDG indicator 3.1.1 (maternal mortality ratio, MMR), disaggregated by Guatemala's 22 departments at the baseline year 2014 (MMR = 113 per 100,000 live births). By sustaining the AAPC rate attained from 2009 to 2014 (-4.3%) and focalizing its actions with territorial progressivity, by 2030 the country could reduce its MMR to 53 per 100,000 and its absolute and relative inequality gaps by 72% and 48%, respectively. Conclusions. The proposed methodology allows for simultaneously setting targets for overall progress and inequality reduction in health, making explicit the primacy of the equity principle contained in the SDG commitment to leave no one behind, whose urgency takes on renewed relevance in the current pandemic scenario.

RESUMEN Objetivos. Presentar una metodología para la formulación simultánea de metas cuantitativas que reflejen tanto la mejoría del promedio nacional de un indicador del tercer Objetivo de Desarrollo Sostenible (ODS3) como la reducción de su desigualdad geográfica. Métodos. Se definió un algoritmo en cinco pasos: a) cálculo del cambio porcentual anual promedio (CPAP) nacional para un indicador del ODS3; b) definición normativa de estratos geográficos a partir de la distribución subnacional del indicador en un año base; c) aplicación de un criterio de progresividad proporcional del CPAP para proyectar el indicador estrato-específico al año meta; d) establecimiento de la meta nacional como el promedio ponderado del indicador en las unidades territoriales subnacionales al año meta; y e) formulación de metas de reducción de desigualdad mediante el cálculo de las brechas absoluta y relativa entre los estratos extremos al año meta. Resultados. Se aplicó el algoritmo al indicador ODS 3.1.1 (razón de mortalidad materna, RMM), desagregado por los 22 departamentos de Guatemala para el año base 2014 (RMM = 113 por 100 000 nacidos vivos). Sosteniendo la intensidad promedio de CPAP observada entre 2009 y 2014 (-4,3%) y focalizando sus acciones con progresividad territorial, el país reduciría al 2030 su RMM a 53 por 100 000 nacidos vivos y sus brechas absoluta y relativa en 72% y 48%, respectivamente. Conclusiones. La metodología propuesta permite formular simultáneamente metas de reducción de las desigualdades geográficas en salud y hacer explícita la primacía del principio de equidad expresado en el compromiso de no dejar a nadie atrás que identifica a los ODS, cuya urgencia cobra renovada relevancia en el escenario pospandémico actual.

RESUMO Objetivos. Apresentar uma metodologia para a formulação simultânea de metas quantitativas que reflitam tanto a melhoria da média nacional de um indicador do terceiro Objetivo de Desenvolvimento Sustentável (ODS3) quanto a redução das desigualdades geográfica nesse indicador. Métodos. Estabelecemos um algoritmo em cinco etapas: (a) cálculo da variação percentual anual média (VPAM) em um país para um indicador do ODS3, (b) definição normativa de estratos geográficos a partir da distribuição subnacional do indicador em um ano base, (c) aplicação de um critério de progressividade proporcional da VPAM para projetar o indicador específico do estrato para o ano base, (d) estabelecimento da meta nacional como a média ponderada do indicador nas unidades territoriais subnacionais para o ano alvo e (e) estabelecimento de metas para a redução das desigualdades calculando a disparidade absoluta e relativa entre os estratos extremos para o ano alvo. Resultados. Aplicamos o algoritmo ao indicador ODS 3.1.1 (razão de mortalidade materna, RMM), desagregado pelos 22 departamentos da Guatemala para o ano base de 2014 (RMM = 113 por 100.000 nascidos vivos). Se mantiver a intensidade média da VPAM observada entre 2009 e 2014 (-4,3%) e concentrar as suas ações com progressividade territorial, o país reduzirá, até 2030, a sua RMM para 53 por 100.000 e sua disparidade absoluta e relativa em 72% e 48%, respectivamente. Conclusões. A metodologia proposta permite formular simultaneamente metas para a redução das desigualdades geográficas em saúde e explicitar a primazia do princípio da equidade expresso no compromisso de não deixar ninguém para trás consagrado nos ODS, cuja urgência assume uma relevância renovada no atual cenário pós-pandêmico.

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OBJECTIVES: To identify bottlenecks and barriers to effective coverage by Early Childhood Health and Development (ECHD) interventions in Guatemala. METHODS: A scoping review of more than 100 peer-reviewed articles, grey literature, and other academic publications was conducted. Articles published from 2005-2019 were considered. Results were analyzed using the Tanahashi model of effective coverage that categorizes coverage by five domains: availability, accessibility, acceptability, contact, and effective coverage. RESULTS: A total of 103 articles were identified, addressing 337 bottlenecks and barriers to effective coverage by ECHD interventions in Guatemala. Most occurred along the acceptability dimension (35.9%). The findings revealed four opportunity spaces: (i) strong political interest and commitment (opportunity for leadership); (ii) vibrant community health networks (opportunity for leverage); (iii) availability of promising evidence-based projects and interventions (opportunity for scale-up); and (iv) strong agency presence (opportunity for collaboration). CONCLUSIONS: Most bottlenecks and barriers to ECHD interventions in Guatemala occur around acceptability, followed by accessibility and availability. There is considerable potential for national leadership, leverage, scale-up, and collaboration of ongoing efforts in the country. These results may be used to inform future research and policymaking. The Tanahashi approach is an effective lens of analysis that can be applied to other countries, geographic areas, and contexts in future studies.

OBJETIVOS: Identificar los obstáculos y las barreras que impiden una cobertura efectiva de las intervenciones de salud y desarrollo en la primera infancia en Guatemala. MÉTODOS: Se llevó a cabo una revisión sistemática exploratoria de más de 100 artículos revisados por pares, literatura gris y otras publicaciones académicas. Se consideraron artículos publicados entre 2005 y 2019. Los resultados se analizaron utilizando el modelo de Tanahashi de cobertura efectiva que clasifica la cobertura en cinco dominios: disponibilidad, accesibilidad, aceptabilidad, contacto y cobertura efectiva. RESULTADOS: Se identificaron 103 artículos que abordan 337 obstáculos y barreras a la cobertura efectiva de las intervenciones de salud y desarrollo en la primera infancia en Guatemala. La mayoría de ellos se produjeron en la dimensión de la aceptabilidad (35,9%). Los resultados revelaron cuatro espacios de oportunidad para la acción: i) un fuerte interés y compromiso políticos (oportunidad de liderazgo); ii) redes de salud comunitarias dinámicas (oportunidad de apalancamiento); iii) disponibilidad de proyectos e intervenciones prometedores basados en la evidencia (oportunidad de ampliación); y iv) marcada presencia de instituciones (oportunidad de colaboración). CONCLUSIONES: La mayoría de los obstáculos y las barreras a las intervenciones de salud y desarrollo en la primera infancia en Guatemala se dan en torno a la aceptabilidad, seguida de la accesibilidad y la disponibilidad. Existe un considerable potencial para el liderazgo nacional, el apalancamiento, la ampliación y la colaboración entre los emprendimientos en curso en el país. Estos resultados pueden utilizarse para fundamentar futuras investigaciones y la formulación de políticas. El enfoque de Tanahashi es una herramienta de análisis eficaz que puede aplicarse a otros países, zonas geográficas y contextos en estudios futuros.

RESUMO

[ABSTRACT]. Objectives. To identify bottlenecks and barriers to effective coverage by Early Childhood Health and Development (ECHD) interventions in Guatemala. Methods. A scoping review of more than 100 peer-reviewed articles, grey literature, and other academic publications was conducted. Articles published from 2005-2019 were considered. Results were analyzed using the Tanahashi model of effective coverage that categorizes coverage by five domains: availability, accessibility, acceptability, contact, and effective coverage. Results. A total of 103 articles were identified, addressing 337 bottlenecks and barriers to effective coverage by ECHD interventions in Guatemala. Most occurred along the acceptability dimension (35.9%). The findings revealed four opportunity spaces: (i) strong political interest and commitment (opportunity for leadership); (ii) vibrant community health networks (opportunity for leverage); (iii) availability of promising evidence-based projects and interventions (opportunity for scale-up); and (iv) strong agency presence (opportunity for collaboration). Conclusions. Most bottlenecks and barriers to ECHD interventions in Guatemala occur around acceptability, followed by accessibility and availability. There is considerable potential for national leadership, leverage, scale-up, and collaboration of ongoing efforts in the country. These results may be used to inform future research and policymaking. The Tanahashi approach is an effective lens of analysis that can be applied to other countries, geographic areas, and contexts in future studies.

[RESUMEN]. Objetivos. Identificar los obstáculos y las barreras que impiden una cobertura efectiva de las intervenciones de salud y desarrollo en la primera infancia en Guatemala. Métodos. Se llevó a cabo una revisión sistemática exploratoria de más de 100 artículos revisados por pares, literatura gris y otras publicaciones académicas. Se consideraron artículos publicados entre 2005 y 2019. Los resultados se analizaron utilizando el modelo de Tanahashi de cobertura efectiva que clasifica la cobertura en cinco dominios: disponibilidad, accesibilidad, aceptabilidad, contacto y cobertura efectiva. Resultados. Se identificaron 103 artículos que abordan 337 obstáculos y barreras a la cobertura efectiva de las intervenciones de salud y desarrollo en la primera infancia en Guatemala. La mayoría de ellos se produjeron en la dimensión de la aceptabilidad (35,9%). Los resultados revelaron cuatro espacios de oportunidad para la acción: i) un fuerte interés y compromiso políticos (oportunidad de liderazgo); ii) redes de salud comunitarias dinámicas (oportunidad de apalancamiento); iii) disponibilidad de proyectos e intervenciones prometedores basados en la evidencia (oportunidad de ampliación); y iv) marcada presencia de instituciones (oportunidad de colaboración). Conclusiones. La mayoría de los obstáculos y las barreras a las intervenciones de salud y desarrollo en la primera infancia en Guatemala se dan en torno a la aceptabilidad, seguida de la accesibilidad y la disponibilidad. Existe un considerable potencial para el liderazgo nacional, el apalancamiento, la ampliación y la colaboración entre los emprendimientos en curso en el país. Estos resultados pueden utilizarse para fundamentar futuras investigaciones y la formulación de políticas. El enfoque de Tanahashi es una herramienta de análisis eficaz que puede aplicarse a otros países, zonas geográficas y contextos en estudios futuros.

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[RESUMEN]. Objetivos. Presentar una metodología para la formulación simultánea de metas cuantitativas que reflejen tanto la mejoría del promedio nacional de un indicador del tercer Objetivo de Desarrollo Sostenible (ODS3) como la reducción de su desigualdad geográfica. Métodos. Se definió un algoritmo en cinco pasos: a) cálculo del cambio porcentual anual promedio (CPAP) nacional para un indicador del ODS3; b) definición normativa de estratos geográficos a partir de la distribución subnacional del indicador en un año base; c) aplicación de un criterio de progresividad proporcional del CPAP para proyectar el indicador estrato-específico al año meta; d) establecimiento de la meta nacional como el promedio ponderado del indicador en las unidades territoriales subnacionales al año meta; y e) formulación de metas de reducción de desigualdad mediante el cálculo de las brechas absoluta y relativa entre los estratos extremos al año meta. Resultados. Se aplicó el algoritmo al indicador ODS 3.1.1 (razón de mortalidad materna, RMM), desagregado por los 22 departamentos de Guatemala para el año base 2014 (RMM = 113 por 100 000 nacidos vivos). Sosteniendo la intensidad promedio de CPAP observada entre 2009 y 2014 (−4,3%) y focalizando sus acciones con progresividad territorial, el país reduciría al 2030 su RMM a 53 por 100 000 nacidos vivos y sus brechas absoluta y relativa en 72% y 48%, respectivamente. Conclusiones. La metodología propuesta permite formular simultáneamente metas de reducción de las desigualdades geográficas en salud y hacer explícita la primacía del principio de equidad expresado en el compromiso de no dejar a nadie atrás que identifica a los ODS, cuya urgencia cobra renovada relevancia en el escenario pospandémico actual.

[ABSTRACT]. Objectives. Present methodology for the concurrent development of quantitative targets that reflect improvement in the national average of an indicator for Sustainable Development Goal 3 (SDG3), as well as a reduction in geographic inequality. Methods. A five-step algorithm was developed: a) calculate the national average annual percentage change (AAPC) for an SDG3 indicator; b) standardize the definition of geographic strata based on subnational distribution of the indicator in a base year; c) apply a criterion for proportional progress in the AAPC in order to project the stratum-specific indicator to the target year; d) set the national target as the weighted average of the indicator in the subnational territorial units for the target year; and e) develop inequality reduction targets by calculating absolute and relative gaps between the top and bottom strata for the target year. Results. The algorithm was applied to SDG indicator 3.1.1 (maternal mortality ratio, MMR), disaggregated by Guatemala’s 22 departments for base year 2014 (MMR = 113/100,000 live births). By sustaining the average AAPC rate attained from 2009 to 2014 (-4.3%) and targeting its actions to territorial progress, the country would reduce its MMR to 53/100,000 by 2030 and its absolute and relative gaps by 72% and 48%, respectively. Conclusions. The proposed methodology makes it possible to concurrently develop targets for the reduction of geographic inequalities in health and improvements in the national average, with explicit reference to the primacy of the principle of equity expressed in the SDGs’ commitment to leaving no one behind, whose urgency is newly important in the current post-pandemic scenario.

[RESUMO]. Objetivos. Apresentar uma metodologia para a formulação simultânea de metas quantitativas que reflitam tanto a melhoria da média nacional de um indicador do terceiro Objetivo de Desenvolvimento Sustentável (ODS3) quanto a redução das desigualdades geográfica nesse indicador. Métodos. Estabelecemos um algoritmo em cinco etapas: (a) cálculo da variação percentual anual média (VPAM) em um país para um indicador do ODS3, (b) definição normativa de estratos geográficos a partir da distribuição subnacional do indicador em um ano base, (c) aplicação de um critério de progressividade proporcional da VPAM para projetar o indicador específico do estrato para o ano base, (d) estabelecimento da meta nacional como a média ponderada do indicador nas unidades territoriais subnacionais para o ano alvo e (e) estabelecimento de metas para a redução das desigualdades calculando a disparidade absoluta e relativa entre os estratos extremos para o ano alvo. Resultados. Aplicamos o algoritmo ao indicador ODS 3.1.1 (razão de mortalidade materna, RMM), desagregado pelos 22 departamentos da Guatemala para o ano base de 2014 (RMM = 113 por 100.000 nascidos vivos). Se mantiver a intensidade média da VPAM observada entre 2009 e 2014 (-4,3%) e concentrar as suas ações com progressividade territorial, o país reduzirá, até 2030, a sua RMM para 53 por 100.000 e sua disparidade absoluta e relativa em 72% e 48%, respectivamente. Conclusões. A metodologia proposta permite formular simultaneamente metas para a redução das desigualdades geográficas em saúde e explicitar a primazia do princípio da equidade expresso no compromisso de não deixar ninguém para trás consagrado nos ODS, cuja urgência assume uma relevância renovada no atual cenário pós-pandêmico.

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OBJECTIVE: This study set out to describe the association between the maternal mortality ratio (MMR) estimates and a set of socioeconomic indicators and compute the MMR inequalities among the provinces of Ecuador. METHODS: A cross-sectional ecological study was conducted, using data for 2014 from the country's 24 provinces. The MMR estimate was calculated for each province, as well as the association and its strength between MMR and specific socioeconomic indicators. For the indicators that were found to be significantly associated with MMR, inequality measurements were computed. RESULTS: Despite a relatively low MMR for Ecuador overall, ratios differed substantially among the provinces. Five socioeconomic indicators proved to be statistically significantly associated with MMR: total fertility rate, the percentage of indigenous population, the percentage of households with children who do not attend school, gross domestic product, and the percentage of houses with electrical service. Of these five, only three had MMR inequalities that were significant: total fertility rate, gross domestic product, and the percentage of households with electricity. CONCLUSIONS: This study supports research arguing that national averages can be misleading, as they often hide differences among subgroups at the local level. The findings also suggest that MMR is significantly associated with some socioeconomic indicators, including ones linked with significant health outcome inequalities. In order to reduce health inequities, it is crucial that countries look beyond national averages and identify the subgroups being left behind, explore the particular social determinants that generate these health inequalities, and examine the specific barriers and other factors affecting the subgroups most vulnerable to maternal health inequalities.

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RESUMO

Objective. This study set out to describe the association between the maternal mortality ratio (MMR) estimates and a set of socioeconomic indicators and compute the MMR inequalities among the provinces of Ecuador. Methods. A cross-sectional ecological study was conducted, using data for 2014 from the country’s 24 provinces. The MMR estimate was calculated for each province, as well as the association and its strength between MMR and specific socioeconomic indicators. For the indicators that were found to be significantly associated with MMR, inequality measurements were computed. Results. Despite a relatively low MMR for Ecuador overall, ratios differed substantially among the provinces. Five socioeconomic indicators proved to be statistically significantly associated with MMR: total fertility rate, the percentage of indigenous population, the percentage of households with children who do not attend school, gross domestic product, and the percentage of houses with electrical service. Of these five, only three had MMR inequalities that were significant: total fertility rate, gross domestic product, and the percentage of households with electricity. Conclusions. This study supports research arguing that national averages can be misleading, as they often hide differences among subgroups at the local level. The findings also suggest that MMR is significantly associated with some socioeconomic indicators, including ones linked with significant health outcome inequalities. In order to reduce health inequities, it is crucial that countries look beyond national averages and identify the subgroups being left behind, explore the particular social determinants that generate these health inequalities, and examine the specific barriers and other factors affecting the subgroups most vulnerable to maternal health inequalities.

Objetivo. El propósito de este estudio fue describir la asociación entre la razón de mortalidad materna y un conjunto de indicadores socioeconómicos, y calcular las desigualdades en la razón de mortalidad maternal entre las distintas provincias del Ecuador. Métodos. Se consideró un estudio ecológico transversal utilizando datos provenientes de las 24 provincias de Ecuador en el 2014, calculándose la razón de mortalidad materna para cada provincia, así como estudiando la asociación y su fuerza entre la razón de mortalidad materna y el conjunto de los indicadores socioeconómicos. Se obtuvieron las medidas de la desigualdades para aquellos indicadores socioeconómicos que mostraron una asociación estadísticamente significativa con la mortalidad materna. Resultados. A pesar de que la razón de mortalidad materna en Ecuador es relativamente baja a nivel mundial, las razones de la mortalidad materna difieren mucho entre las provincias. Hubo cinco indicadores socioeconómicos que resultaron estar asociados siginificativamente con la razón de mortalidad materna: la tasa total de fecundidad, el porcentaje de población indígena, el porcentaje de hogares con niños que no asisten a la escuela, el producto interno bruto y el porcentaje de hogares con servicio eléctrico. De estos cinco, solo tres mostraron desigualdades estadísticamente significativas en la mortalidad materna: la tasa total de fecundidad, el producto interno bruto y el porcentaje de hogares con electricidad. Conclusiones. Este estudio respalda las investigaciones que sostienen que los promedios nacionales pueden ser engañosos, pues a menudo ocultan diferencias entre subgrupos a nivel local. Los resultados también indican que la razón de mortalidad materna esta asociada significativamente con algunos indicadores socioeconómicos, incluyendo algunos que resultaron en desigualdades significativas en salud materna. Para reducir las inequidades en materia de salud, es crucial que los países adopten un enfoque que trascienda a los promedios nacionales y detecten los subgrupos que van quedando rezagados, analicen los determinantes sociales particulares que generan esas desigualdades en materia de salud y examinen los obstáculos específicos y otros factores que afectan a los subgrupos más vulnerables a las desigualdades en salud materna.

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