2022, Number 4
Competitiveness of subnational governments and their relationship with COVID-19 mortality in Peru
Language: Spanish
References: 29
Page: 1-7
PDF size: 718.99 Kb.
ABSTRACT
Introduction: The COVID-19 pandemic has revealed high disparities in the world population.Objective: To describe the correlation between competitiveness and mortality from COVID-19 in Peru, with subnational governments as an element of study.
Material and Methods: Observational study based on the secondary analysis of deaths from COVID-19 that occurred in 2020 and the regional competitiveness index of subnational governments in 2019. The crude and standardized rates, the effect index, the difference and ratio of crude and standardized rates, the population attributable risk, the inequality gradient, and the relative and absolute gaps in mortality from COVID-19 were calculated.
Results: In 2020, the standardized mortality rate for COVID-19 (COVID-19-SMR) was 267,61 deaths per 105 inhabitants. Additionally, 21,53 % of the variance from the COVID-19-SMR is explained by the regional competitiveness index 2019 (p= 0,019); the slope inequality index was 29,68 and, for each point in the INCORE 2019, the COVID-19-SMR increased 100,78 points (R2a= 0,181). In quintile 1 of regional competitiveness, it was 151,83, while in quintile 5 it reached 449,15. The absolute inequality gap between both quintiles was 297,32 and it reached 2,95 in the relative inequality gap. The concentration curve evidenced the socio-geographic inequality of deaths from COVID-19 in 2020.
Conclusions: Mortality increased as subnational governments became more competitive, evidencing the socio-geographical inequality of the impact of the COVID-19 pandemic.
REFERENCES
Etienne CF. Health inequity continues to fuel COVID-19 pandemic and prolongs the efforts to end it [Internet]. Washington: Pan American Health Organization; 2021 [Citado 22/01/2022]. Disponible en: Disponible en: https://www.paho.org/en/news/22-9-2021-health-inequity-continues-fuel-covid-19-pandemic-and-prolongs-efforts-end-it 1.
Benach J, Friel S, Houweling T, Labonte R, Muntaner C, Schrecker T, et al. A conceptual framework for action on the social determinants of health [Internet]. Geneva: World Health Organization; 2010 [Citado 19/01/2022]. Disponible en: Disponible en: https://www.who.int/sdhconference/resources/ConceptualframeworkforactiononSDH_eng.pdf 3.
De laTorre Ugarte GM, Oyola García A. Los determinantes sociales de la salud: una propuesta de variables y marcadores/indicadores para su medición. Revista Peruana de Epidemiología [Internet]. 2014 [Citado 17/01/2022];18(1):1-6. Disponible en: Disponible en: https://www.redalyc.org/pdf/2031/203132677002.pdf 7.
Aycock L, Chen X. Levels of economic developement and the spread of coronavirus disease 2019 (COVID-19) in 50 U.S. states and territories and 28 European countries: an association analysis of aggregated data. Global Health Journal [Internet]. 2021 Mar [Citado 22/01/2022];5(1):24-30. Disponible en: Disponible en: https://www.sciencedirect.com/science/article/pii/S2414644721000063?utm_source=TrendMD&utm_medium=cpc&utm_campaign=Global_Health_Journal_TrendMD_1 9.
Cieza J, Uriol C. Letalidad y la mortalidad de Covid 19 en 60 países afectados y su impacto en los aspectos demográficos, económicos y de salud. Rev Med Hered [Internet]. 2020 [Citado 31/01/2022];31:214-21. Disponible en: Disponible en: http://www.scielo.org.pe/pdf/rmh/v31n4/1729-214X-rmh-31-04-214.pdf 10.
Office of National Statistics. Deaths involving COVID-19 by local area and socioeconomic deprivation - Office for National Statistics [Internet]. EE UU: ONS; 2020 [Citado 22/01/2022]. Disponible en: Disponible en: https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/bulletins/deathsinvolvingcovid19bylocalareasanddeprivation/deathsoccurringbetween1marchand31july2020 11.
Ministerio de Salud del Perú. Fallecidos por COVID-19 [Internet]. Plataforma Nacional de Datos Abiertos [Internet]. Perú: Ministerio de Salud del Perú; 2022 [Citado 15/01/2022]. Disponible en: Disponible en: https://www.datosabiertos.gob.pe/dataset/fallecidos-por-covid-19-ministerio-de-salud-minsa 15.
Word Health Organization. Surveillance Epidemiology and End Results Program. Datasets - Standard population Data: World (WHO 2000-2025) Standard [Internet]. Geneva: Word Health Organization; 2013 [Citado 15/01/2022]. Disponible en: Disponible en: https://seer.cancer.gov/stdpopulations/world.who.html 19.
Medrano A, Alcántara J, Machaca N, Mendoza R, eds. Gasto de bolsillo en salud y medicamentos. Periodo 2012-2019. En su: Dirección General de Medicamentos, Insumos y Drogas [Internet]. Lima: Ministerio de Salud; 2021 [Citado 31/01/2022]. Disponible en: Disponible en: http://repositorio.digemid.minsa.gob.pe/xmlui/handle/DIGEMID/191 24.
Hernández Vásquez A, Rojas Roque C, Santero M, Prado Galbarro FJ, Roselli D. Gasto de bolsillo en salud en adultos mayores peruanos: análisis de la Encuesta Nacional de Hogares sobre Condiciones de Vida y Pobreza 2017. Revista Peruana de Medicina Experimental y Salud Pública [Internet]. 2018 [Citado 02/02/2022];35(3):390-9. Disponible en: Disponible en: https://rpmesp.ins.gob.pe/rpmesp/article/view/3815/3116 25.
Tarrillo D, Zavala J, Quequezana P, Gómez L, Najarro D, Castro V, et al. Informe de calidad del gasto público en salud 2019 [Internet]. Lima: COMEXPERU - Sociedad de Comercio Exterior del Perú; 2019 [Citado 31/01/2022]. Disponible en: Disponible en: https://www.comexperu.org.pe/upload/articles/reportes/informe-calidad-001.pdf 26.