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.
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.
ABSTRACT
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. (Am J Public Health. 2022;112(S6):S586-S590. https://doi.org/10.2105/AJPH.2021.306637).
Subject(s)
COVID-19 , Adult , Colombia/epidemiology , Health Status Disparities , Humans , Insurance, Health , Retrospective Studies , Socioeconomic FactorsABSTRACT
Introduction: Over the years there have been several interventions targeted at the public to increase their knowledge and awareness about Antimicrobial Resistance (AMR). In this work, we updated a previously published review by Price et al. (2018), on effectiveness of interventions to improve the public’s antimicrobial resistance awareness and behaviours associated with prudent use of antimicrobials to identify which interventions work best in influencing public behaviour. Methods: Five databases—Medline (OVID), CINAHL (EBSCO), Embase, PsycINFO, and Cochrane Central Register of Controlled Trials (CENTRAL-OVID)—were searched for AMR interventions between 2017 and 2021 targeting the public. All studies which had a before and after assessment of the intervention were considered for inclusion. Results: In total, 17 studies were found to be eligible for inclusion in the review. Since there was a variety in the study interventions and in particular outcomes, a narrative synthesis approach was adopted for analysis. Whereas each study showed some impact on awareness and knowledge, none measured long-term impact on behaviours towards antibiotic use, awareness, or knowledge. Engagement was higher in interventions which included interactive elements such as games or videos. Social media was not used for recruitment of participants or as a mode of communication in any AMR interventions included in this review.
ABSTRACT
The COVID-19 pandemic has unveiled health and socioeconomic inequities around the globe. Effective epidemic control requires the achievement of herd immunity, where susceptible individuals are conferred indirect protection by being surrounded by immunized individuals. The proportion of people that need to be vaccinated to obtain herd immunity is determined through the herd immunity threshold. However, the number of susceptible individuals and the opportunities for contact between infectious and susceptible individuals influence the progress of an epidemic. Thus, in addition to vaccination, control of a pandemic may be difficult or impossible to achieve without other public health measures, including wearing face masks and social distancing. This article discusses the factors that may contribute to herd immunity and control of COVID-19 through the availability of effective vaccines and describes how vaccine effectiveness in the community may be lower than that expected. It also discusses how pandemic control in some countries and populations may face vaccine accessibility barriers if market forces strongly regulate the new technologies available, according to the inverse care law.
La pandemia de COVID-19 ha puesto al descubierto inequidades socioeconómicas y de salud en todo el mundo. Un control epidémico eficaz requiere el logro de la inmunidad colectiva, mediante la cual se confiere a las personas vulnerables una protección indirecta al estar rodeadas de personas inmunizadas. El umbral de inmunidad colectiva determina la proporción de personas que deben vacunarse para llegar a la inmunidad colectiva. Sin embargo, el número de personas vulnerables y las oportunidades de contacto entre las personas infecciosas y las personas vulnerables influyen en el progreso de una epidemia. Por lo tanto, además de la vacunación, el control de una pandemia puede ser difícil o imposible de lograr sin otras medidas de salud pública, como las mascarillas y el distanciamiento social. Este artículo trata sobre los factores que pueden contribuir al logro de la inmunidad colectiva y el control de la COVID-19 mediante la disponibilidad de vacunas efectivas y describe cómo la efectividad de las vacunas en la comunidad puede ser inferior a la prevista. También aborda cómo el control pandémico en algunos países y grupos poblacionales puede enfrentarse a obstáculos que dificultan la accesibilidad de las vacunas si las fuerzas del mercado son el principal factor que regula las nuevas tecnologías disponibles, como se indica en la ley de atención inversa.
A pandemia de COVID-19 revelou iniquidades socioeconômicas e de saúde no mundo todo. Um controle epidêmico eficaz requer a obtenção da imunidade coletiva, em que indivíduos suscetíveis recebem proteção indireta por estarem rodeados de indivíduos imunizados. A proporção de pessoas que precisam ser vacinadas para se alcançar a imunidade coletiva é definida pelo limiar da imunidade coletiva. Porém, o número de indivíduos suscetíveis e as oportunidades de contato entre indivíduos infecciosos e suscetíveis influenciam o progresso de uma epidemia. Portanto, além da vacinação, o controle de uma pandemia pode ser difícil ou impossível de ser alcançado sem outras medidas de saúde pública, incluindo o uso de máscaras e o distanciamento social. Este artigo discute os fatores que podem contribuir para a imunidade coletiva e para o controle da COVID-19 por meio da disponibilidade de vacinas eficazes, e descreve como a eficácia das vacinas na comunidade pode ser menor do que o esperado. Também discute como o controle da pandemia em alguns países e populações pode enfrentar barreiras de acessibilidade às vacinas se as forças de mercado regularem fortemente as novas tecnologias disponíveis, conforme a lei dos cuidados inversos.