Evidence map›Paper›PMID 34193481›Full record

ArticleBMJ open2021

Effects of cancer treatment on household impoverishment: a multicentre cross-sectional study in China.

Wenqi Fu, Jufang Shi, Xin Zhang, Chengcheng Liu, Chengyao Sun, Yupeng Du, Hong Wang, Chaojie Liu, Li Lan, Min Zhao and 10 more

Abstract readMulticenter Study
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Influence of age on financial toxicity in cancer patients.Asia-Pacific journal of oncology nursing · 2024
    Article
  8. Non-Communicable Diseases Impact Low-Income Households in Malaysia.The Malaysian journal of medical sciences : MJMS · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Wenqi Fu *Department of Health Economics, School of Health Management/Public Health, Harbin Medical University, Harbin, China.ORCID 0000-0002-4847-9191
Jufang Shi *Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xin ZhangDepartment of Health Economics, School of Health Management/Public Health, Harbin Medical University, Harbin, China.
Chengcheng LiuOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chengyao SunDepartment of Health Economics, School of Health Management/Public Health, Harbin Medical University, Harbin, China.
Yupeng DuDepartment of Health Economics, School of Health Management/Public Health, Harbin Medical University, Harbin, China.
Hong WangDepartment of Health Economics, School of Health Management/Public Health, Harbin Medical University, Harbin, China.
Chaojie LiuDepartment of Public Health, School of Psychology and Public Health, La Trobe University, Bundoora, Victoria, Australia.ORCID 0000-0003-0877-0424
Li LanDepartment for Prevention and Control of Chronic Non-communicable Diseases, Harbin Center for Disease Control and Prevention, Harbin, China.
Min ZhaoDepartment of Medical Administration, Yunnan Provincial Cancer Hospital, Kunming, China.
Li YangDepartment of Preventive Medicine, School of Public Health, Guangxi Medical University, Nanning, China.
Burenbatu BaoDepartment of Hematology and Oncology, Affiliated Hospital of Inner Mongolia University for Nationalities, Tongliao, China.
Sumei CaoDepartment of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yongzhen ZhangDepartment of Epidemiology, Shanxi Provincial Cancer Hospital, Taiyuan, China.
DeBin WangHealth Management College, Anhui Medical University, Hefei, China.
Ni LiOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Wanqing ChenOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China lgx6301@163.com chenwq@cicams.ac.cn.
Min DaiOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Guoxiang LiuDepartment of Health Economics, School of Health Management/Public Health, Harbin Medical University, Harbin, China lgx6301@163.com chenwq@cicams.ac.cn.ORCID 0000-0002-4839-4307
Jie HeOffice of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 the households would divert daily consumption money to pay for cancer treatment.

participantsCancer 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.

findings5.89% (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.

conclusionsThe financial burden of cancer treatment imposes a significant risk of household impoverishment despite wide coverage of social health insurance in China.

Indexed as

Family CharacteristicsNeoplasmsChinaCross-Sectional StudiesHealth ExpendituresHumansPovertyhealth economicshealth policypublic health

Identifiers

PMID34193481
PMCPMC8246348

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.