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BACKGROUND AND RATIONALE: Dental care systems have the potential to influence population oral health and patterns of socioeconomic inequalities. Therefore, understanding the impact of the ways in which countries fund, provide, and organize their dental care services is key in the analysis of determinants of oral health. In this commentary we offer a synopsis of recent typologies of healthcare systems, based on a rapid review, and highlight that none of them fit dental care services given the separation of dental care from general healthcare provision in many countries. The paper also summarizes evidence on dental care systems as determinants of population oral health and argues why a new typology of dental care systems is needed. CHALLENGES AND WAYS FORWARD: We argue that a typology must consider institutional arrangements, structures, and processes behind the provision of dental care, and that specific dimensions/variables that inform the typology should result from a process of discussion and consensus. Some methodological considerations for developing typologies are also discussed, including the challenges in the collection and analysis of data followed by an advanced cluster analysis. Despite their limitations, typologies have evolved into an essential tool for comparing the similarities and differences of healthcare systems across countries. Therefore, a dental specific typology for health systems will be useful for researchers, policymakers, and dental professionals to characterize the provision of dentalcare services in different countries. This will also enable examining their potential role as determinants of population oral health and inequalities.

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Policy evaluation and guidance on fluoride use and sugar consumption in Latin American and Caribbean countries (LACC) may provide a scientific evidence basis for policymakers, dental professionals, civil society organizations and individuals committed to improving public oral health. A cross-sectional study was conducted to evaluate the extent of implementation of policies/guidelines on fluoride use, and sugar consumption in LACC. The study had two stages. First a questionnaire covering four major areas was developed: fluoridation of public water supplies; salt fluoridation; fluoride dentifrices, and sugar consumption. Then, the questionnaire was applied to collect data among representative participants in public oral health from LACC. Ninety-six participants from 18 LACC answered the questionnaire. One-hundred seventy documents were attached, and 285 links of websites were provided by the respondents. Implementation of policies and guidelines on water and table salt fluoridation and processed and ultra-processed food consumption were found in most countries, with some issues in the consensus and coverage. Thus, differences were identified in the extent of implementation of public oral health strategies on sugar consumption and fluoridation among the countries. There is no consensus on the policies in LACC to reduce sugar consumption and for the use of fluoride. A few policies and guidelines were applied in isolated countries, with a variety of strategies and standards. For future actions, it will be important to encourage the development of strategies and public policies within countries, and to evaluate the effectiveness of existing policies in reducing dental caries and in improving oral health in LACC.

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BACKGROUND: Birth outcomes could have been affected by the COVID-19 pandemic through changes in access to prenatal services and other pathways. The aim of this study was to examine the effects of the COVID-19 pandemic on fetal death, birth weight, gestational age, number of prenatal visits, and caesarean delivery in 2020 in Colombia. METHODS: We conducted a secondary analysis of data on 3,140,010 pregnancies and 2,993,534 live births from population-based birth certificate and fetal death certificate records in Colombia between 2016 and 2020. Outcomes were compared separately for each month during 2020 with the same month in 2019 and pre-pandemic trends were examined in regression models controlling for maternal age, educational level, marital status, type of health insurance, place of residence (urban/rural), municipality of birth, and the number of pregnancies the mother has had before last pregnancy. RESULTS: We found some evidence for a decline in miscarriage risk in some months after the pandemic start, while there was an apparent lagging increase in stillbirth risk, although not statistically significant after correction for multiple comparisons. Birth weight increased during the onset of the pandemic, a change that does not appear to be driven by pre-pandemic trends. Specifically, mean birth weight was higher in 2020 than 2019 for births in April through December by about 12 to 21 g (p < 0.01). There was also a lower risk of gestational age at/below 37 weeks in 2020 for two months following the pandemic (April, June), but a higher risk in October. Finally, there was a decline in prenatal visits in 2020 especially in June-October, but no evidence of a change in C-section delivery. CONCLUSIONS: The study findings suggest mixed early effects of the pandemic on perinatal outcomes and prenatal care utilization in Colombia. While there was a significant decline in prenatal visits, other factors may have had counter effects on perinatal health including an increase in birth weight on average.

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Abstract Policy evaluation and guidance on fluoride use and sugar consumption in Latin American and Caribbean countries (LACC) may provide a scientific evidence basis for policymakers, dental professionals, civil society organizations and individuals committed to improving public oral health. A cross-sectional study was conducted to evaluate the extent of implementation of policies/guidelines on fluoride use, and sugar consumption in LACC. The study had two stages. First a questionnaire covering four major areas was developed: fluoridation of public water supplies; salt fluoridation; fluoride dentifrices, and sugar consumption. Then, the questionnaire was applied to collect data among representative participants in public oral health from LACC. Ninety-six participants from 18 LACC answered the questionnaire. One-hundred seventy documents were attached, and 285 links of websites were provided by the respondents. Implementation of policies and guidelines on water and table salt fluoridation and processed and ultra-processed food consumption were found in most countries, with some issues in the consensus and coverage. Thus, differences were identified in the extent of implementation of public oral health strategies on sugar consumption and fluoridation among the countries. There is no consensus on the policies in LACC to reduce sugar consumption and for the use of fluoride. A few policies and guidelines were applied in isolated countries, with a variety of strategies and standards. For future actions, it will be important to encourage the development of strategies and public policies within countries, and to evaluate the effectiveness of existing policies in reducing dental caries and in improving oral health in LACC.

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Objectives: To quantify socioeconomic inequalities in COVID-19 mortality in Colombia and to assess the extent to which type of health insurance, comorbidity burden, area of residence, and ethnicity account for such inequalities. Methods: We analyzed data from a retrospective cohort of COVID-19 cases. We estimated the relative and slope indices of inequality (RII and SII) using survival models for all participants and stratified them by age and gender. We calculated the percentage reduction in RII and SII after adjustment for potentially relevant factors. Results: We identified significant inequalities for the whole cohort and by subgroups (age and gender). Inequalities were higher among younger adults and gradually decreased with age, going from RII of 5.65 (95% confidence interval [CI] = 3.25, 9.82) in participants younger than 25 years to RII of 1.49 (95% CI = 1.41, 1.58) in those aged 65 years and older. Type of health insurance was the most important factor, accounting for 20% and 59% of the relative and absolute inequalities, respectively. Conclusions: Significant socioeconomic inequalities exist in COVID-19 mortality in Colombia. Health insurance appears to be the main contributor to those inequalities, posing challenges for the design of public health strategies.

Objetivos: Quantificar as desigualdades socioeconômicas na mortalidade por COVID-19 na Colômbia e avaliar até que ponto o tipo de cobertura de assistência à saúde, a carga de comorbidades, o local de residência e a etnia contribuíram para tais desigualdades. Métodos: Analisamos dados de uma coorte retrospectiva de casos de COVID-19. Calculamos os índices relativo e angular de desigualdade (RII e SII, respectivamente) utilizando modelos de sobrevivência em todos os participantes, estratificando-os por idade e gênero. Calculamos o percentual de redução no RII e no SII após ajuste para fatores possivelmente relevantes. Resultados: Identificamos desigualdades significativas na coorte como um todo e por subgrupos (idade e gênero). As desigualdades foram maiores para adultos mais jovens e decaíram gradualmente com a idade, indo de um RII de 5,65 (intervalo de confiança [IC] de 95% = 3,25; 9,82] nos participantes com idade inferior a 25 anos a um RII de 1,49 [IC 95% = 1,41; 1,58] nas pessoas com 65 anos ou mais. O tipo de cobertura de assistência à saúde foi o fator mais importante, representando 20% e 59% das desigualdades relativa e absoluta, respectivamente. Conclusões: Desigualdades socioeconômicas significativas afetaram a mortalidade por COVID-19 na Colômbia. O tipo de cobertura de saúde parece ser o principal fator contribuinte para essas desigualdades, impondo desafios à elaboração de estratégias de saúde pública.

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Objectives. To quantify socioeconomic inequalities in COVID-19 mortality in Colombia and to assess the extent to which type of health insurance, comorbidity burden, area of residence, and ethnicity account for such inequalities. Methods. We analyzed data from a retrospective cohort of COVID-19 cases. We estimated the relative and slope indices of inequality (RII and SII) using survival models for all participants and stratified them by age and gender. We calculated the percentage reduction in RII and SII after adjustment for potentially relevant factors. Results. We identified significant inequalities for the whole cohort and by subgroups (age and gender). Inequalities were higher among younger adults and gradually decreased with age, going from RII of 5.65 (95% confidence interval [CI] = 3.25, 9.82) in participants younger than 25 years to RII of 1.49 (95% CI = 1.41, 1.58) in those aged 65 years and older. Type of health insurance was the most important factor, accounting for 20% and 59% of the relative and absolute inequalities, respectively. Conclusions. Significant socioeconomic inequalities exist in COVID-19 mortality in Colombia. Health insurance appears to be the main contributor to those inequalities, posing challenges for the design of public health strategies. (Am J Public Health. 2022;112(S6):S586-S590. https://doi.org/10.2105/AJPH.2021.306637).

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[RESUMEN]. Objetivo. Cuantificar las desigualdades socioeconómicas en la mortalidad por COVID-19 en Colombia y evaluar en qué medida el tipo de seguro de salud, la carga de enfermedades concomitantes, la zona de residencia y el origen étnico explican estas desigualdades. Métodos. Se analizaron los datos de una cohorte retrospectiva de casos de COVID-19. Se estimó el índice relativo de desigualdad (IRD) y el índice de desigualdad basado en la pendiente (IDP) utilizando modelos de supervivencia con todos los participantes, y estratificándolos por edad y sexo. El porcentaje de reducción del IRD y el IDP se calculó después de ajustar con respecto a factores que podrían ser relevantes. Resultados. Se pusieron en evidencia desigualdades notables en toda la cohorte y en los subgrupos (edad y sexo). Las desigualdades fueron mayores en los adultos más jóvenes y disminuyeron de manera gradual con la edad, pasando de un IRD de 5,65 (intervalo de confianza de 95% [IC 95%] = 3,25-9,82) en los participan- tes menores de 25 años a un IRD de 1,49 (IC 95% = 1,41-1,58) en los mayores de 65 años. El tipo de seguro de salud fue el factor más importante, al cual se atribuyó 20% de las desigualdades relativas y 59% de las absolutas. Conclusiones. La mortalidad por COVID-19 en Colombia presenta importantes desigualdades socioeconó- micas. El seguro de salud aparece como el factor que más contribuye a estas desigualdades, lo cual plantea retos al diseño de las estrategias de salud pública.

[ABSTRACT]. Objectives. To quantify socioeconomic inequalities in COVID-19 mortality in Colombia and to assess the extent to which type of health insurance, comorbidity burden, area of residence, and ethnicity account for such inequalities. Methods. We analyzed data from a retrospective cohort of COVID-19 cases. We estimated the relative and slope indices of inequality (RII and SII) using survival models for all participants and stratified them by age and gender. We calculated the percentage reduction in RII and SII after adjustment for potentially relevant factors. Results. We identified significant inequalities for the whole cohort and by subgroups (age and gender). Inequalities were higher among younger adults and gradually decreased with age, going from RII of 5.65 (95% confidence interval [CI] = 3.25, 9.82) in participants younger than 25 years to RII of 1.49 (95% CI = 1.41, 1.58) in those aged 65 years and older. Type of health insurance was the most important factor, accounting for 20% and 59% of the relative and absolute inequalities, respectively. Conclusions. Significant socioeconomic inequalities exist in COVID-19 mortality in Colombia. Health insu- rance appears to be the main contributor to those inequalities, posing challenges for the design of public health strategies.

[RESUMO]. Objetivos. Quantificar as desigualdades socioeconômicas na mortalidade por COVID-19 na Colômbia e ava- liar até que ponto o tipo de cobertura de assistência à saúde, a carga de comorbidades, o local de residência e a etnia contribuíram para tais desigualdades. Métodos. Analisamos dados de uma coorte retrospectiva de casos de COVID-19. Calculamos os índices relativo e angular de desigualdade (RII e SII, respectivamente) utilizando modelos de sobrevivência em todos os participantes, estratificando-os por idade e gênero. Calculamos o percentual de redução no RII e no SII após ajuste para fatores possivelmente relevantes. Resultados. Identificamos desigualdades significativas na coorte como um todo e por subgrupos (idade e gênero). As desigualdades foram maiores para adultos mais jovens e decaíram gradualmente com a idade, indo de um RII de 5,65 (intervalo de confiança [IC] de 95% = 3,25; 9,82] nos participantes com idade inferior a 25 anos a um RII de 1,49 [IC 95% = 1,41; 1,58] nas pessoas com 65 anos ou mais. O tipo de cobertura de assistência à saúde foi o fator mais importante, representando 20% e 59% das desigualdades relativa e absoluta, respectivamente. Conclusões. Desigualdades socioeconômicas significativas afetaram a mortalidade por COVID-19 na Colômbia. O tipo de cobertura de saúde parece ser o principal fator contribuinte para essas desigualdades, impondo desafios à elaboração de estratégias de saúde pública.

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BACKGROUND: Only three literature reviews have assessed the impact of interventions on the reduction of racial inequities in general health to date; none has drawn from attempts at promoting racial oral health equity. This protocol aims to increase transparency and reduce the potential for bias of an ongoing systematic review conceived to answer the following questions: Are there any interventions to mitigate racial oral health inequities or improve the oral health of racially marginalized groups? If so, how successful have they been at promoting racial oral health equity? How do conclusions of previous reviews change by taking the findings of oral health interventions into account? METHODS: Reviewed studies must deploy interventions to reduce racial gaps or promote the oral health of groups oppressed along ancestral and/or cultural lines. We will analyze randomized clinical trials, natural experiments, pre-post studies, and observational investigations that emulate controlled experiments by assessing interactions between race and potentially health-enhancing interventions. Either clinically assessed or self-reported oral health outcomes will be considered by searching for original studies in MEDLINE, LILACS, PsycInfo, SciELO, Web of Science, Scopus, and Embase from their earliest records to March 2022. Upon examining abstracts of conference proceedings, trial registries, reports of related stakeholder organizations, as well as contacting researchers for unpublished data, we will identify studies in the grey literature. If possible, we will carry out a meta-analysis with subgroup and sensitivity analysis, including formal meta-regression, to address potential heterogeneity and inconsistency among selected studies. DISCUSSION: Conducting a systematic review of interventions to mitigate racial oral health inequities is crucial for determining which initiatives work best and under which conditions they succeed. Such knowledge will help consolidate an evidence base that may be used to inform policy and practice against persistent and pervasive racial inequities in general and oral health. SYSTEMATIC REVIEW REGISTRATION: This protocol has been registered at the International Prospective Register of Systematic Reviews, under the identification number CRD42021261450 .

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RESUMEN Objetivo. Cuantificar las desigualdades socioeconómicas en la mortalidad por COVID-19 en Colombia y evaluar en qué medida el tipo de seguro de salud, la carga de enfermedades concomitantes, la zona de residencia y el origen étnico explican estas desigualdades. Métodos. Se analizaron los datos de una cohorte retrospectiva de casos de COVID-19. Se estimó el índice relativo de desigualdad (IRD) y el índice de desigualdad basado en la pendiente (IDP) utilizando modelos de supervivencia con todos los participantes, y estratificándolos por edad y sexo. El porcentaje de reducción del IRD y el IDP se calculó después de ajustar con respecto a factores que podrían ser relevantes. Resultados. Se pusieron en evidencia desigualdades notables en toda la cohorte y en los subgrupos (edad y sexo). Las desigualdades fueron mayores en los adultos más jóvenes y disminuyeron de manera gradual con la edad, pasando de un IRD de 5,65 (intervalo de confianza de 95% [IC 95%] = 3,25-9,82) en los participantes menores de 25 años a un IRD de 1,49 (IC 95% = 1,41-1,58) en los mayores de 65 años. El tipo de seguro de salud fue el factor más importante, al cual se atribuyó 20% de las desigualdades relativas y 59% de las absolutas. Conclusiones. La mortalidad por COVID-19 en Colombia presenta importantes desigualdades socioeconómicas. El seguro de salud aparece como el factor que más contribuye a estas desigualdades, lo cual plantea retos al diseño de las estrategias de salud pública.

ABSTRACT Objectives. To quantify socioeconomic inequalities in COVID-19 mortality in Colombia and to assess the extent to which type of health insurance, comorbidity burden, area of residence, and ethnicity account for such inequalities. Methods. We analyzed data from a retrospective cohort of COVID-19 cases. We estimated the relative and slope indices of inequality (RII and SII) using survival models for all participants and stratified them by age and gender. We calculated the percentage reduction in RII and SII after adjustment for potentially relevant factors. Results. We identified significant inequalities for the whole cohort and by subgroups (age and gender). Inequalities were higher among younger adults and gradually decreased with age, going from RII of 5.65 (95% confidence interval [CI] = 3.25, 9.82) in participants younger than 25 years to RII of 1.49 (95% CI = 1.41, 1.58) in those aged 65 years and older. Type of health insurance was the most important factor, accounting for 20% and 59% of the relative and absolute inequalities, respectively. Conclusions. Significant socioeconomic inequalities exist in COVID-19 mortality in Colombia. Health insurance appears to be the main contributor to those inequalities, posing challenges for the design of public health strategies.

RESUMO Objetivos. Quantificar as desigualdades socioeconômicas na mortalidade por COVID-19 na Colômbia e avaliar até que ponto o tipo de cobertura de assistência à saúde, a carga de comorbidades, o local de residência e a etnia contribuíram para tais desigualdades. Métodos. Analisamos dados de uma coorte retrospectiva de casos de COVID-19. Calculamos os índices relativo e angular de desigualdade (RII e SII, respectivamente) utilizando modelos de sobrevivência em todos os participantes, estratificando-os por idade e gênero. Calculamos o percentual de redução no RII e no SII após ajuste para fatores possivelmente relevantes. Resultados. Identificamos desigualdades significativas na coorte como um todo e por subgrupos (idade e gênero). As desigualdades foram maiores para adultos mais jovens e decaíram gradualmente com a idade, indo de um RII de 5,65 (intervalo de confiança [IC] de 95% = 3,25; 9,82] nos participantes com idade inferior a 25 anos a um RII de 1,49 [IC 95% = 1,41; 1,58] nas pessoas com 65 anos ou mais. O tipo de cobertura de assistência à saúde foi o fator mais importante, representando 20% e 59% das desigualdades relativa e absoluta, respectivamente. Conclusões. Desigualdades socioeconômicas significativas afetaram a mortalidade por COVID-19 na Colômbia. O tipo de cobertura de saúde parece ser o principal fator contribuinte para essas desigualdades, impondo desafios à elaboração de estratégias de saúde pública.