2021
DOI: 10.1136/bmjopen-2020-044322
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Effects of cancer treatment on household impoverishment: a multicentre cross-sectional study in China

Abstract: ObjectivesTo determine the incidence and intensity of household impoverishment induced by cancer treatment in China.DesignAverage 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 t… Show more

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Cited by 11 publications
(20 citation statements)
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“…After removing duplicates, 7466 studies remained for relevancy screening, and 662 remained for full-text review. Finally, 13 articles published in Chinese and reporting 12 studies [29][30][31][32][33][34][35][36][37][38][39][40][41] and 18 articles published in English [42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59] were included in the review. Fig.…”
Section: Literature Search and Selectionmentioning
confidence: 99%
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“…After removing duplicates, 7466 studies remained for relevancy screening, and 662 remained for full-text review. Finally, 13 articles published in Chinese and reporting 12 studies [29][30][31][32][33][34][35][36][37][38][39][40][41] and 18 articles published in English [42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59] were included in the review. Fig.…”
Section: Literature Search and Selectionmentioning
confidence: 99%
“…Of the 30 included studies, only 13 38,41,42,[46][47][48][49]52,53,[56][57][58][59] clearly defined the inclusion criteria; only 7 42,46,48,50,52,53,56 described the study subjects and settings in detail; and 3 36,39,41 were rated as "unclear" for statistical analysis, as they did not describe how the categorical variables were assigned values or how dummy variables were set for polytomous variables, although their selection of statistical analysis method (multiple linear regression) was appropriate. Of the 25 analytical cross-sectional studies, 29,31,[34][35][36][37][38][39][40][41][45][46][47][48][49][50][51][52][53][54][55][56][57][58]…”
Section: Quality Appraisalmentioning
confidence: 99%
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“…The former covers rural residents, and the latter covers urban residents who are not eligible for UEBMI, such as unemployed individuals and children. The reimbursement rates are the highest for the UEBMI, followed by the URBMI, and the NCMS [ 13 ].…”
Section: Introductionmentioning
confidence: 99%