The household economic burden of non-communicable diseases in 18 countries

BACKGROUND: Non-communicable diseases (NCDs) are the leading cause of death globally. In 2014, the United Nations committed to reducing premature mortality from NCDs, including by reducing the burden of healthcare costs. Since 2014, the Prospective Urban and Rural Epidemiology (PURE) Study has been collecting health expenditure data from households with NCDs in 18 countries. METHODS: Using data from the PURE Study, we estimated risk of catastrophic health spending and impoverishment among households with at least one person with NCDs (cardiovascular disease, diabetes, kidney disease, cancer and respiratory diseases; n=17 435), with hypertension only (a leading risk factor for NCDs; n=11 831) or with neither (n=22 654) by country income group: high-income countries (Canada and Sweden), upper middle income countries (UMICs: Brazil, Chile, Malaysia, Poland, South Africa and Turkey), lower middle income countries (LMICs: the Philippines, Colombia, India, Iran and the Occupied Palestinian Territory) and low-income countries (LICs: Bangladesh, Pakistan, Zimbabwe and Tanzania) and China. RESULTS: The prevalence of catastrophic spending and impoverishment is highest among households with NCDs in LMICs and China. After adjusting for covariates that might drive health expenditure, the absolute risk of catastrophic spending is higher in households with NCDs compared with no NCDs in LMICs (risk difference=1.71%; 95% CI 0.75 to 2.67), UMICs (0.82%; 95% CI 0.37 to 1.27) and China (7.52%; 95% CI 5.88 to 9.16). A similar pattern is observed in UMICs and China for impoverishment. A high proportion of those with NCDs in LICs, especially women (38.7% compared with 12.6% in men), reported not taking medication due to costs. CONCLUSIONS: Our findings show that financial protection from healthcare costs for people with NCDs is inadequate, particularly in LMICs and China. While the burden of NCD care may appear greatest in LMICs and China, the burden in LICs may be masked by care foregone due to costs. The high proportion of women reporting foregone care due to cost may in part explain gender inequality in treatment of NCDs. (AU)

Alcohol consumption and cardiovascular disease, cancer, injury, admission to hospital, and mortality: a prospective cohort study

BACKGROUND:Alcohol consumption is proposed to be the third most important modifiable risk factor for death and disability. However, alcohol consumption has been associated with both benefits and harms, and previous studies were mostly done in high-income countries. We investigated associations between alcohol consumption and outcomes in a prospective cohort of countries at different economic levels in five continents.METHODS:We included information from 12 countries participating in the Prospective Urban Rural Epidemiological (PURE) study, a prospective cohort study of individuals aged 35-70 years. We used Cox proportional hazards regression to study associations with mortality (n=2723), cardiovascular disease (n=2742), myocardial infarction (n=979), stroke (n=817), alcohol-related cancer (n=764), injury (n=824), admission to hospital (n=8786), and for a composite of these outcomes (n=11,963).FINDINGS:We included 114,970 adults, of whom 12,904 (11%) were from high-income countries (HICs), 24,408 (21%) were from upper-middle-income countries (UMICs), 48,845 (43%) were from lower-middle-income countries (LMICs), and 28,813 (25%) were from low-income countries (LICs). Median follow-up was 4.3 years (IQR 3.0-6.0). Current drinking was reported by 36,030 (31%) individuals, and was associated with reduced myocardial infarction (hazard ratio [HR] 0.76 [95% CI 0.63-0.93]), but increased alcohol-related cancers (HR 1.51 [1.22-1.89]) and injury (HR 1.29 [1.04-1.61]). High intake was associated with increased mortality (HR 1.31 [1.04-1.66]). Compared with never drinkers, we identified significantly reduced hazards for the composite outcome for current drinkers in HICs and UMICs (HR 0.84 [0.77-0.92]), but not in LMICs and LICs, for which we identified no reductions in this outcome (HR 1.07 [0.95-1.21]; pinteraction<0.0001)...

Cardiovascular risk and events in 17 low-,middle-, and high-income countries

BACKGROUNDMore than 80% of deaths from cardiovascular disease are estimated to occur inlow-income and middle-income countries, but the reasons are unknown.METHODSWe enrolled 156,424 persons from 628 urban and rural communities in 17 countries(3 high-income, 10 middle-income, and 4 low-income countries) and assessedtheir cardiovascular risk using the INTERHEART Risk Score, a validated score forquantifying risk-factor burden without the use of laboratory testing (with higherscores indicating greater risk-factor burden). Participants were followed for incidentcardiovascular disease and death for a mean of 4.1 years.RESULTSThe mean INTERHEART Risk Score was highest in high-income countries, intermediatein middle-income countries, and lowest in low-income countries (P<0.001).However, the rates of major cardiovascular events (death from cardiovascularcauses, myocardial infarction, stroke, or heart failure) were lower in high-incomecountries than in middle- and low-income countries (3.99 events per 1000 personyearsvs. 5.38 and 6.43 events per 1000 person-years, respectively; P<0.001). Casefatality rates were also lowest in high-income countries (6.5%, 15.9%, and 17.3%in high-, middle-, and low-income countries, respectively; P = 0.01). Urban communitieshad a higher risk-factor burden than rural communities but lower ratesof cardiovascular events (4.83 vs. 6.25 events per 1000 person-years, P<0.001) andcase fatality rates (13.52% vs. 17.25%, P<0.001). The use of preventive medicationsand revascularization procedures was significantly more common in high-incomecountries than in middle- or low-income countries (P<0.001).CONCLUSIONSAlthough the risk-factor burden was lowest in low-income countries, the rates ofmajor cardiovascular disease and death were substantially higher in low-incomecountries than in high-income countries. The high burden of risk factors in highincome...