Background: Health disparities persist among Indigenous populations in Latin America, reflecting systemic inequities and historical marginalization. These disparities span infectious diseases, malnutrition, and chronic conditions, necessitating a comprehensive understanding to inform equitable public health strategies. This scoping review aims to map health disparities affecting Indigenous populations in Latin America, identify research gaps, and inform policy recommendations. Methods: Following PRISMA-ScR guidelines, we systematically searched PubMed, Embase, and Scielo for studies with data collected between May 2014 and May 2024. Studies were included if they examined health disparities among Indigenous populations in Latin America, contained a comparator related to disparities, and presented quantitative data. We excluded studies on oral health, risk factors, genetic disparities, health system access, and ecological studies, as well as non-research articles such as commentaries and letters to the editor. Data were synthesized narratively, summarizing key themes. Results: Of 1,116 identified articles, 35 met inclusion criteria, spanning nine Latin American countries. Most studies were cross-sectional (n = 18) or cohort-based (n = 16). Infectious diseases and malnutrition were the most studied topics, consistently showing higher incidence and mortality rates among Indigenous populations. Many papers highlighted COVID-19 disparities, with Indigenous groups experiencing higher incidence and mortality. Malnutrition, particularly stunting and anemia, was significantly more prevalent among Indigenous children and women. Studies on overweight and obesity showed mixed results. Chronic diseases, including chronic kidney disease and cardiovascular issues, showed notable disparities, while mental health and cancer were underrepresented. Conclusion: Indigenous populations in Latin America face a dual burden of infectious and chronic diseases, compounded by structural barriers such as poverty, geographic isolation, and systemic discrimination. Addressing these disparities requires culturally tailored interventions, structural reforms, and policy prioritization. This scoping review is limited by database restrictions, search term variability, language and time frame constraints, the absence of a methodological quality assessment, inconsistencies in defining Indigenous status, exclusion of grey literature, and a focus on disease prevalence rather than disparities in risk factors, diagnosis, and treatment, which may result in an incomplete representation of Indigenous health disparities in Latin America. Future research should incorporate mental health outcomes to provide a more comprehensive understanding of Indigenous health disparities.

Objectives To evaluate the impact of culturally and linguistically tailored informational videos delivered via social media campaigns on COVID-19 vaccine uptake in Indigenous Maya communities in Guatemala. Methods Our team designed a series of videos utilising community input and evaluated the impact using a pre–post intervention design. In-person preintervention surveys were collected from a sample of respondents in four rural municipalities in Guatemala in March 2022. Facebook, Instagram and browser ads were flooded with COVID-19 vaccine informational videos in Spanish, Kaqchikel and Kiche for 3 weeks. Postintervention surveys were conducted by telephone among the same participants in April 2022. Logistic regression models were used to estimate the OR of COVID-19 vaccine uptake following exposure to the intervention videos. Results Preintervention and postintervention surveys were collected from 1572 participants. The median age was 28 years; 63% (N=998) identified as women, and 36% spoke an Indigenous Mayan language. Twenty-one per cent of participants (N=327) reported watching the intervention content on social media. At baseline, 89% (N=1402) of participants reported having at least one COVID-19 vaccine, compared with 97% (N=1507) in the follow-up. Those who reported watching the videos had 1.78 times the odds (95% CI 1.14 to 2.77) of getting vaccinated after watching the videos compared with those who did not see the videos when adjusted by age, community, sex and language. Conclusion Our findings suggest that culturally and linguistically tailored videos addressing COVID-19 vaccine misinformation deployed over social media can increase vaccinations in a rural, indigenous population in Guatemala, implying that social media content can influence vaccination uptake. Providing accurate, culturally sensitive information in local languages from trusted sources may help increase vaccine uptake in historically marginalised populations.

Introduction As of July 2022, a little over one-third of Guatemalans were fully vaccinated. While COVID-19 vaccination rates are not officially reported nationally by racial/ethnic groups, non-governmental organisations and reporters have observed that COVID-19 vaccination rates are especially low among high-risk Indigenous populations. We conducted one of the first studies on COVID-19 vaccine acceptance in Indigenous populations in the Central Highlands of Guatemala, which aimed to better understand the barriers to COVID-19 vaccine uptake and how to improve vaccine promotional campaigns. Methods In November 2021, we conducted eight focus group discussions (FGDs) with 42 Indigenous men and women and 16 in-depth interviews (IDIs) with community health workers, nurses and physicians in Chimaltenango and Sololá. Using a participatory design approach, our qualitative analysis used constant comparative methods to understand the inductive and deductive themes from the FGD and IDI transcripts. Results We found three major overarching barriers to vaccination within the sampled population: (1) a lack of available easily understandable, linguistically appropriate and culturally sensitive COVID-19 vaccine information; (2) vaccine access and supply issues that prevented people from being vaccinated efficiently and quickly; and (3) widespread misinformation and disinformation that prey on people’s fears of the unknown and mistrust of the medical establishment and government. Conclusion When developing COVID-19 vaccine messages, content should be culturally relevant, appropriate for low-literacy populations and in the languages that people prefer to speak. Promotional materials should be in multiple modalities (print, radio and social media) and also have specific Maya cultural references (dress, food and concepts of disease) to ensure messaging connects with intended targets. This study supports the need for more robust research into best practices for communicating about COVID-19 vaccines to marginalised communities globally and suggests that policy makers should invest in targeted local solutions to increase vaccine uptake.

Mexico faced a significant burden from the COVID-19 pandemic. Since the pandemic’s onset in 2020, numerous studies have underscored the substantial risk of COVID-19 death among Indigenous individuals. This study aims to assess COVID-19 vaccine uptake among Indigenous language speakers in Mexico, focusing on understanding the barriers they face in obtaining access to vaccines. We used Encuesta Nacional de Salud y Nutrición Continua (ENSANUT) 2022, a nationally representative health survey in Mexico to analyze data on self-reported COVID-19 vaccine status, reasons for not getting vaccinated, and other relevant covariates. We employed logistic regression to estimate odds ratios (ORs) for vaccine uptake and uptake barriers, all models were adjusted for potential confounders. Among 34,051 participants, 1793 individuals (5.23%) reported speaking an Indigenous language. Indigenous language speakers were found to have a lower vaccination rate (63%) compared to non-Indigenous language speakers (81%) (p <0.005). They were also 59% less likely to be vaccinated against COVID-19 (OR 0.41, 95% CI 0.27–0.62), even when adjusted for confounders. Among unvaccinated individuals, Indigenous language speakers were more likely to cite negative beliefs about the vaccine or fear as reasons for not being vaccinated (OR 1.82, 95% CI 1.11–3.00) while being less likely to report access barriers (OR 0.62, CI 95% 0.42–0.91). This study highlights disparities in COVID-19 vaccine uptake among Indigenous language speakers in Mexico. The findings underscore the urgent need for targeted, culturally appropriate public health interventions and the consideration of social and ethnic vulnerability in prioritizing vaccinations.

Background: Health misinformation, which was particularly prevalent during the COVID-19 pandemic, hampers public health initiatives. Spanish-speaking communities in the San Francisco Bay Area may be especially affected due to low digital health literacy and skepticism towards science and healthcare experts. Our study aims to develop a checklist to counter misinformation, grounded in community insights. Methods: We adopted a multistage approach to understanding barriers to COVID-19 vaccine uptake in Spanish-speaking populations in Alameda and San Francisco counties. Initial work included key informant and community interviews. Partnering with a community-based organization (CBO), we organized co-design workshops in July 2022 to develop a practical tool for identifying misinformation. Template analysis identified key themes for actionable steps, such as source evaluation and content assessment. From this, we developed a Spanish-language checklist. Findings: During formative interviews, misinformation was identified as a major obstacle to vaccine uptake. Three co-design workshops with 15 Spanish-speaking women resulted in a 10-step checklist for tackling health misinformation. Participants highlighted the need for scrutinizing sources and assessing messenger credibility, and cues in visual content that could instill fear. The checklist offers a pragmatic approach to source verification and information assessment, supplemented by resources from local CBOs. Conclusion: We have co-created a targeted checklist for Spanish-speaking communities to identify and counter health misinformation. Such specialized tools are essential for populations that are more susceptible to misinformation, enabling them to differentiate between credible and non-credible information.

Introducción: La pandemia por COVID-19 provocó un aumento en los pacientes canalizados a las Unidades de Cuidados Intensivos (UCI). La aplicación de algoritmos de triaje provocó dilemas éticos cuando se tenía que decidir sobre el manejo clínico y/o el tratamiento de los pacientes. Objetivos: Analizar los principales aspectos bioéticos involucrados en los algoritmos usados en la toma de decisiones de triaje en la UCI durante la pandemia por COVID-19 a partir de una revisión de la literatura publicada en el periodo comprendido desde julio del año 2020 hasta febrero del año 2021. Métodos: Se realizó una búsqueda en Pubmed, SciELO, Ovid y Cochrane con los términos de búsqueda en inglés y español: “triage” (triaje), “Covid”, “SARS Cov-2”, “unidad de cuidados intensivo”, “ética”. Se excluyeron los artículos que no mencionaron algoritmos de intervención en la UCI, que no analizan la toma de decisiones, que no implican el entorno clínico, que no estuvieran indexados o artículos repetidos. Resultados: Se obtuvieron 45 artículos: los resúmenes fueron revisados de forma independiente por dos autores para eliminar sesgos, seleccionando 12 artículos que cumplían con los criterios de selección. Se encontró que los principales aspectos éticos que se tomaron en cuenta fueron: priorización inevitable, justicia y apoyo al rol del juicio clínico tomando en cuenta los derechos personales. Conclusiones: Es necesario realizar ajustes bioéticos para estandarizar la universalización de la toma de decisiones en momentos donde la capacidad de los servicios de salud se ve rebasada.