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

Adrianna Murphy ORCID logo; Benjamin Palafox ORCID logo; Marjan Walli-Attaei; Timothy Powell-Jackson ORCID logo; Sumathy Rangarajan; Khalid F Alhabib; Alvaro Jr Avezum; Kevser Burcu Tumerdem Calik; Jephat Chifamba; Tarzia Choudhury; +30 more... Gilles Dagenais; Antonio L Dans; Rajeev Gupta; Romaina Iqbal; Manmeet Kaur; Roya Kelishadi; Rasha Khatib; Iolanthe Marike Kruger; Vellappillil Raman Kutty; Scott A Lear; Wei Li; Patricio Lopez-Jaramillo; Viswanathan Mohan; Prem K Mony; Andres Orlandini; Annika Rosengren; Ismail Rosnah; Pamela Seron; Koon Teo; Lap Ah Tse; Lungiswa Tsolekile; Yang Wang; Andreas Wielgosz; Ruohua Yan; Karen E Yeates; Khalid Yusoff; Katarzyna Zatonska; Kara Hanson ORCID logo; Salim Yusuf; Martin McKee ORCID logo; (2020) The household economic burden of non-communicable diseases in 18 countries. BMJ Global Health, 5 (2). e002040-. DOI: 10.1136/bmjgh-2019-002040
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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.


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