IS THERE AN ASSOCIATION BETWEEN NON-COMMUNICABLE DISEASE MORTALITY AND CORRUPTION INDEXES? A GLOBAL PERSPECTIVE

Author(s)

Botero F1, Pantoja M2, Rosselli D1
1Pontificia Universidad Javeriana, Bogota, Colombia, 2Pontificia Universidad Javeriana, Bogotá, Colombia

Presentation Documents

OBJECTIVES: A relationship between political characteristics and outcomes in health has been described since Hippocratic times. Political decisions influence health indicators through different mechanisms. We hypothesize that corruption will negatively impact prevalence and mortality of chronic non-communicable diseases (NCD) globally.

METHODS: We conducted an ecological study in which the possible statistical association of Gini coefficient, Country Policy and Institutional Assesment (CPIA) and Corruption Perception Index, through Spearman test.

RESULTS: Data was collected from the publicly available indexes published on 2016 on the official CPIA, GINI and CPI. Mortality data was collected from the Wold Health Organization (WHO) publicly available statistics from the same year. We found a moderate positive correlation between CPI and death due to non-communicable diseases (% of total) (r = 0.532), prevalence of schizophrenia (r = 0.526), bipolar disorder (r = 0.520) and eating behavior (r = 0,677). There is a moderate negative association between Gini index and death due to non-communicable diseases (% of the total) (r = -0.571) and smoking prevalence (r = -0.502); as well as between CPI and malnutrition prevalence (%) (r = -0.602), mortality due to cardiovascular diseases, cancer, diabetes or chronic respiratory diseases between the exact ages of 30 and 70 years (%) (r = -0.577).

CONCLUSIONS: We describe a possible weak association between transparency index and Gini index in NCD and malnutrition, and the proportion of all deaths due to cardiovascular diseases, cancer, diabetes or chronic respiratory diseases, as well as depression, anxiety disorders and suicide. Further research should study the weight of these associations, the interaction of confounding factors and the possible causal links, in order to take actions in the global fight against corruption.

Conference/Value in Health Info

2020-05, ISPOR 2020, Orlando, FL, USA

Value in Health, Volume 23, Issue 5, S1 (May 2020)

Code

PMU64

Topic

Epidemiology & Public Health, Health Policy & Regulatory

Topic Subcategory

Health Disparities & Equity, Public Health, Public Spending & National Health Expenditures

Disease

Cardiovascular Disorders, Diabetes/Endocrine/Metabolic Disorders, Nutrition

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