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Missing the vulnerable-Inequalities in social protection in 13 sub-Saharan African countries: Analysis of population-based surveys.
Chipanta, David; Amo-Agyei, Silas; Hertzog, Lucas; Hosseinpoor, Ahmad Reza; Smith, Michael; Mahoney, Caitlin; Jaramillo Meija, Juan Gonzalo; Keiser, Olivia; Estill, Janne.
Afiliación
  • Chipanta D; United Nations Joint Programme on HIV/AIDS (UNAIDS), Windhoek, Namibia.
  • Amo-Agyei S; The University of Manchester, Manchester, United Kingdom.
  • Hertzog L; United Nations High Commissioner for Refugees, Geneva, Switzerland.
  • Hosseinpoor AR; Faculty of Health Sciences, WHO Collaborating Centre for Climate Change and Health Impact Assessment, School of Population Health, Curtin University, Perth, Australia.
  • Smith M; Department of Data and Analytics, World Health Organization, Geneva, Switzerland.
  • Mahoney C; Nutrition Division, World Food Programme, Rome, Italy.
  • Jaramillo Meija JG; Social Protection Unit, World Food Programme, Rome, Italy.
  • Keiser O; Social Protection Unit, World Food Programme, Rome, Italy.
  • Estill J; Institute of Global Health, University of Geneva, Geneva, Switzerland.
PLOS Glob Public Health ; 4(7): e0002973, 2024.
Article en En | MEDLINE | ID: mdl-38954685
ABSTRACT
We assessed socioeconomic inequalities in social protection coverage among the public, men and women living with the human immunodeficiency virus (MLHIV, WLHIV), and adolescent girls and young women (AGYW). We used population-based data from Cameroon, Côte d'Ivoire, Ethiopia, Eswatini, Kenya, Lesotho, Malawi, Namibia, Rwanda, Tanzania, Uganda, Zambia, and Zimbabwe. We constructed concentration curves (CC) and computed concentration indices (CIX) for each country and population group. A CC represents the cumulative percentage of social protection coverage plotted on the y-axis against the cumulative proportion of the population-ranked by socioeconomic status from the poorest to the richest-on the x-axis. The CIX quantifies the concentration of social protection coverage among the poor or the rich. The sample size ranged from 10,197 in Eswatini to 29,577 in Tanzania. Social protection coverage among the public varied from 5.2% (95% Confidence Interval 4.5%-6.0%) in Ethiopia to 39.9% (37.0%-42.8%) in Eswatini. It ranged from 6.9% (5.7%-8.4%) MLHIV in Zambia to 45.0% (41.2-49.0) among WLHIV in Namibia. Among AGYW, it varied from 4.4% (3.6-5.3) in Ethiopia to 44.6% (40.8-48.5) in Eswatini. Socioeconomic inequalities in social protection coverage favored the poor in 11/13 countries surveyed. It favored the rich in Cameroon and was undefined in Côte d'Ivoire. The CIX in these 11 countries ranged from -0.080 (p = 0.002) among the public in Malawi to -0.372 (p< 0.001) among WLHIV in Zimbabwe. In 8 of these 11 countries, ≥15% of people from the poorest households reported receiving social protection. Only in countries with higher levels of social protection coverage did most people from the poorest households achieve high coverage. Social protection coverage was low and favored the poor. Pro-poor social protection is insufficient to reach the poor. Research is required to reach the poorest households with social protection in Africa.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: PLOS Glob Public Health Año: 2024 Tipo del documento: Article País de afiliación: Namibia Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: PLOS Glob Public Health Año: 2024 Tipo del documento: Article País de afiliación: Namibia Pais de publicación: Estados Unidos