Journal
BMJ OPEN
Volume 11, Issue 6, Pages -Publisher
BMJ PUBLISHING GROUP
DOI: 10.1136/bmjopen-2020-044322
Keywords
health policy; health economics; public health; public health
Categories
Funding
- National Key R&D Program of China [2017YFC1308700, 2017YFC1308705]
- National Natural Science Foundation of China [71603065, 71673071]
- National Key Public Health Programme of China
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The study found that 5.89% to 12.94% of households in China fell into poverty after paying for cancer treatment. Older patients, those living in central regions, and those with lower income had a higher risk of experiencing post-treatment household impoverishment. Patients without social health insurance were more likely to experience household impoverishment after treatment compared to those with urban employee insurance coverage.
Objectives To determine the incidence and intensity of household impoverishment induced by cancer treatment in China. Design Average income and daily consumption per capita of the households and out-of-pocket payments for cancer care were estimated. Household impoverishment was determined by comparing per capita daily consumption against the Chinese poverty line (CPL, US$1.2) and the World Bank poverty line (WBPL, US$1.9) for 2015. Both pre-treatment and post-treatment consumptions were calculated assuming that the households would divert daily consumption money to pay for cancer treatment. Participants Cancer patients diagnosed initially from 1 January 2015 to 31 December 2016 who had received cancer treatment subsequently. Those with multiple cancer diagnoses were excluded. Data sources A household questionnaire survey was conducted on 2534 cancer patients selected from nine hospitals in seven provinces through two-stage cluster/convenience sampling. Findings 5.89% (CPL) to 12.94% (WBPL) households were impoverished after paying for cancer treatment. The adjusted OR (AOR) of post-treatment impoverishment was higher for older patients (AOR=2.666-4.187 for >= 50 years vs <50 years, p<0.001), those resided in central region (AOR=2.619 vs eastern, p<0.01) and those with lower income (AOR=0.024-0.187 in higher income households vs the lowest 20%, p<0.001). The patients without coverage from social health insurance had higher OR (AOR=1.880, p=0.040) of experiencing post-treatment household impoverishment than those enrolled with the insurance for urban employees. Cancer treatment is associated with an increase of 5.79% (CPL) and 12.45% (WBPL) in incidence of household impoverishment. The median annual consumption gap per capita underneath the poverty line accumulated by the impoverished households reached US$128 (CPL) or US$212 (WBPL). US$31 170 395 (CPL) or US$115 238 459 (WBPL) were needed to avoid household impoverishment induced by cancer treatment in China. Conclusions The financial burden of cancer treatment imposes a significant risk of household impoverishment despite wide coverage of social health insurance in China.
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