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      Impact of COVID-19 on healthcare utilization, cases, and deaths of citizens and displaced Venezuelans in Colombia: Complementary comprehensive and safety-net systems under Colombia’s constitutional commitment

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          Abstract

          Objective

          Colombia hosts 1.8 million displaced Venezuelans, the second highest number of displaced persons globally. Colombia’s constitution entitles all residents, including migrants, to life-saving health care, but actual performance data are rare. This study assessed Colombia’s COVID-era achievements.

          Methods

          We compared utilization of comprehensive (primarily consultations) and safety-net (primarily hospitalization) services, COVID-19 case rates, and mortality between Colombian citizens and Venezuelans in Colombia across 60 municipalities (local governments). We employed ratios, log transformations, correlations, and regressions using national databases for population, health services, disease surveillance, and deaths. We analyzed March through November 2020 (during COVID-19) and the corresponding months in 2019 (pre-COVID-19).

          Results

          Compared to Venezuelans, Colombians used vastly more comprehensive services than Venezuelans (608% more consultations), in part due to their 25-fold higher enrollment rates in contributory insurance. For safety-net services, however, the gap in utilization was smaller and narrowed. From 2019 to 2020, Colombians’ hospitalization rate per person declined by 37% compared to Venezuelans’ 24%. In 2020, Colombians had only moderately (55%) more hospitalizations per person than Venezuelans. In 2020, rates by municipality between Colombians and Venezuelans were positively correlated for consultations (r = 0.28, p = 0.04) but uncorrelated for hospitalizations (r = 0.10, p = 0.46). From 2019 to 2020, Colombians’ age-adjusted mortality rate rose by 26% while Venezuelans’ rate fell by 11%, strengthening Venezuelans’ mortality advantage to 14.5-fold.

          Conclusions

          The contrasting patterns between comprehensive and safety net services suggest that the complementary systems behaved independently. Venezuelans’ lower 2019 mortality rate likely reflects the healthy migrant effect (selective migration) and Colombia’s safety net healthcare system providing Venezuelans with reasonable access to life-saving treatment. However, in 2020, Venezuelans still faced large gaps in utilization of comprehensive services. Colombia’s 2021 authorization of 10-year residence to most Venezuelans is encouraging, but additional policy changes are recommended to further integrate Venezuelans into the Colombian health care system.

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          Most cited references11

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          Socioeconomic inequalities associated with mortality for COVID-19 in Colombia: a cohort nationwide study

          Background After 8 months of the COVID-19 pandemic, Latin American countries have some of the highest rates in COVID-19 mortality. Despite being one of the most unequal regions of the world, there is a scarce report of the effect of socioeconomic conditions on COVID-19 mortality in their countries. We aimed to identify the effect of some socioeconomic inequality-related factors on COVID-19 mortality in Colombia. Methods We conducted a survival analysis in a nation-wide retrospective cohort study of confirmed cases of COVID-19 in Colombia from 2 March 2020 to 26 October 2020. We calculated the time to death or recovery for each confirmed case in the cohort. We used an extended multivariable time-dependent Cox regression model to estimate the HR by age groups, sex, ethnicity, type of health insurance, area of residence and socioeconomic strata. Results There were 1 033 218 confirmed cases and 30 565 deaths for COVID-19 in Colombia between 2 March and 26 October. The risk of dying for COVID-19 among confirmed cases was higher in males (HR 1.68 95% CI 1.64 to 1.72), in people older than 60 years (HR 296.58 95% CI 199.22 to 441.51), in indigenous people (HR 1.20 95% CI 1.08 to 1.33), in people with subsidised health insurance regime (HR 1.89 95% CI 1.83 to 1.96) and in people living in the very low socioeconomic strata (HR 1.44 95% CI 1.24 to 1.68). Conclusion Our study provides evidence of socioeconomic inequalities in COVID-19 mortality in terms of age groups, sex, ethnicity, type of health insurance regimen and socioeconomic status.
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            Measures to strengthen primary health-care systems in low- and middle-income countries

            Abstract Primary health care offers a cost–effective route to achieving universal health coverage (UHC). However, primary health-care systems are weak in many low- and middle-income countries and often fail to provide comprehensive, people-centred, integrated care. We analysed the primary health-care systems in 20 low- and middle-income countries using a semi-grounded approach. Options for strengthening primary health-care systems were identified by thematic content analysis. We found that: (i) despite the growing burden of noncommunicable disease, many low- and middle-income countries lacked funds for preventive services; (ii) community health workers were often under-resourced, poorly supported and lacked training; (iii) out-of-pocket expenditure exceeded 40% of total health expenditure in half the countries studied, which affected equity; and (iv) health insurance schemes were hampered by the fragmentation of public and private systems, underfunding, corruption and poor engagement of informal workers. In 14 countries, the private sector was largely unregulated. Moreover, community engagement in primary health care was weak in countries where services were largely privatized. In some countries, decentralization led to the fragmentation of primary health care. Performance improved when financial incentives were linked to regulation and quality improvement, and community involvement was strong. Policy-making should be supported by adequate resources for primary health-care implementation and government spending on primary health care should be increased by at least 1% of gross domestic product. Devising equity-enhancing financing schemes and improving the accountability of primary health-care management is also needed. Support from primary health-care systems is critical for progress towards UHC in the decade to 2030.
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              Understanding the Healthy Immigrant Effect in the Context of Mental Health Challenges: A Systematic Critical Review

              The “Healthy Immigrant Effect” (HIE) suggests that immigrants have a health advantage over the domestic-born which vanishes with increased length of residency. Most HIE research focuses on physical health, with less attention given to mental health (MH). This systematic review of 58 MH studies examines whether there is a MH advantage among immigrants and explores changes in immigrants’ MH, besides critically assessing the use of HIE theory. Inconsistent evidence was detected regarding the presence of MH advantage, whereas consistent, convincing evidence was revealed for a decline in immigrants’ MH over years. Although the HIE theory can help reveal MH disparities, this theory alone does not explain the reasons for these disparities nor inform about potential avenues to improve immigrants’ MH. A paradigm shift is needed to incorporate other potential theoretical concepts/frameworks, including the “Health Inequalities Action” framework, for a broader understanding of MH issues and to inform effective, culturally-sensitive interventions. Supplementary Information The online version contains supplementary material available at 10.1007/s10903-021-01313-5.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curation
                Role: Formal analysisRole: Project administration
                Role: Data curationRole: Formal analysisRole: MethodologyRole: Visualization
                Role: Data curationRole: Formal analysisRole: Writing – review & editing
                Role: Data curationRole: Formal analysis
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                28 March 2023
                2023
                28 March 2023
                : 18
                : 3
                : e0282786
                Affiliations
                [1 ] The Heller School of Social Policy and Management, Brandeis University, Waltham, Massachusetts, United States of America
                [2 ] School of Government, Universidad de los Andes, Bogotá, Colombia
                Faculty of Medicine, Saint-Joseph University, LEBANON
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-2187-0593
                https://orcid.org/0000-0003-2343-1965
                Article
                PONE-D-22-21282
                10.1371/journal.pone.0282786
                10047542
                36976793
                40ce5d7e-f83a-4348-9c65-8e5763eb4622
                © 2023 Shepard et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 7 September 2022
                : 22 February 2023
                Page count
                Figures: 6, Tables: 0, Pages: 21
                Funding
                Funded by: Elrha’s Research for Health in Humanitarian Crises (R2HC)
                Award Recipient :
                Funded by: National Institute for Health Research
                Funded by: World Bank
                Award ID: WORLD 8006362
                Funded by: funder-id http://dx.doi.org/10.13039/100007864, Brandeis University;
                Award ID: Sub‐award 2(PG006778‐01)
                Award Recipient :
                This study was funded primarily by the project "Strengthening the humanitarian response to COVID‐19 in Colombia" through a grant to Brandeis University from Elrha’s Research for Health in Humanitarian Crises (R2HC) Program (elrha.org) with DMB as PI, which supported all authors. R2HC is funded by the UK Foreign, Commonwealth and Development Office, Wellcome, and the Department of Health and Social Care through the National Institute for Health Research. The remaining funding was provided by the World Bank (worldbank.org) through award WORLD 8006362 to Columbia University, Sub‐award 2(PG006778‐01) to Brandeis University (DSS, Brandeis PI) for the project "The big questions on forced migration in health." It supported DSS, PA‐H, JSS, AHR, and DMB. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. There was no additional external funding received for this study.
                Categories
                Research Article
                Medicine and Health Sciences
                Medical Conditions
                Infectious Diseases
                Viral Diseases
                Covid 19
                People and places
                Geographical locations
                South America
                Colombia
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
                Medicine and Health Sciences
                Epidemiology
                Pandemics
                Social Sciences
                Economics
                Health Economics
                Health Insurance
                Medicine and Health Sciences
                Health Care
                Health Economics
                Health Insurance
                Medicine and Health Sciences
                Health Care
                Health Care Facilities
                Medicine and Health Sciences
                Health Care
                Health Care Facilities
                Hospitals
                Hospitalizations
                Earth Sciences
                Geography
                Human Geography
                Urban Geography
                Cities
                Social Sciences
                Human Geography
                Urban Geography
                Cities
                Custom metadata
                Epidemiologic surveillance and mortality data are available from SIVIGILA, National Institute of Health, Colombia ( https://www.ins.gov.co/Direcciones/Vigilancia/Paginas/SIVIGILA.aspx). Population data by nationality and municipality are available from the Department Administrative Nacional Estastica (DANE), Colombia, Population by Municipality and Age, Annex on population projections by municipality with simple ages, 2018-2023 (Anexos-proyecciones-poblacion-municipios-edadessimples-2018-2023), cited January 1, 2022 ( https://www.dane.gov.co/index.php/estadisticas-por-tema/demografia-y-poblacion/proyecciones-de-poblacion). Health services utilization by municipality and nationality data are available from Registros Individuales de Prestación de Servicios de Salud – RIPS, ( https://www.minsalud.gov.co/proteccionsocial/Paginas/rips.aspx). The list of municipalities and additional information are presented in the Supporting information file.
                COVID-19

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