Evidence map›Paper›PMID 26810394›Full record

ArticleInfectious diseases of poverty2016

Non-medical financial burden in tuberculosis care: a cross-sectional survey in rural China.

Qiang Li, Weixi Jiang, Quanli Wang, Yuan Shen, Jingyuan Gao, Kaori D Sato, Qian Long, Henry Lucas

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.6field-weighted citation impact, top 5% of its field
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

12 citing papers in PubMed, 17 citations in OpenAlex.

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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

8 authors at 4 institutions in 3 countries.

Qiang LiDepartment of Biostatistics and Epidemiology, School of Public Health, Xi'an Jiaotong University, Xi'an, Shaanxi, China. tjlq@mail.xjtu.edu.cn.
Weixi JiangGlobal Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China. weixi.jiang@dku.edu.cn.
Quanli WangDepartment of Biostatistics and Epidemiology, School of Public Health, Xi'an Jiaotong University, Xi'an, Shaanxi, China. wql@mail.xjtu.edu.cn.
Yuan ShenDepartment of Biostatistics and Epidemiology, School of Public Health, Xi'an Jiaotong University, Xi'an, Shaanxi, China. yulander.s@mail.xjtu.edu.cn.
Jingyuan GaoDepartment of Biostatistics and Epidemiology, School of Public Health, Xi'an Jiaotong University, Xi'an, Shaanxi, China. jdyxy@foxmail.com.
Kaori D SatoDuke Global Health Institute, Duke University, Durham, NC, USA. kaori.sato@duke.edu.
Qian LongGlobal Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China. qian.long@dku.edu.cn.
Henry LucasInstitute of Development Studies at the University of Sussex, Brighton, UK. h.lucas@ids.ac.uk.
Xi'an Jiaotong University · CNDuke Institute for Health Innovation · USDuke Kunshan University · CNUniversity of Sussex · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTreatment of tuberculosis (TB) in China is partially covered by national programs and health insurance schemes, though TB patients often face considerable medical expenditures. For some, especially those from poorer households, non-medical costs, such as transport, accommodation, and nutritional supplementation may be a substantial additional burden. In this article we aim to evaluate these non-medical costs induced by seeking TB care using data from a large scale cross-sectional survey.

methodsA total of 797 TB cases from three cities were randomly selected using a stratified cluster sampling design. Inpatient medical costs, outpatient medical costs, and direct non-medical costs related to TB treatment were collected using in-person interviews by trained interviewers. Mean and median non-medical costs for different sub-groups were calculated and compared using Kruskal-Wallis and Mann-Whitney U tests. Regression analysis was conducted to assess the influence of different patient characteristics on total non-medical cost.

resultsThe median non-medical cost was RMB 1429, with interquartile range RMB 424-2793. The median non-medical costs relating to inpatient treatment, outpatient treatment, and additional nutrition supplementation were RMB 540, 91, and 900, respectively. Of the 797 cases, 20 % reported catastrophic expenditure on non-medical costs. Statistically significant differences were detected between different cities, age groups, geographical locations, inpatient/outpatient care, education levels and family income groups.

conclusionsNon-medical costs relating to TB treatment are a serious financial burden for many TB patients. Financial assistance that can limit this burden is urgently needed during the treatment period, especially for the poor.

Indexed as

AdultAgedChinaCross-Sectional StudiesFemaleHealth Care CostsHealth SurveysHumansMaleMiddle AgedRural PopulationTuberculosisYoung Adult

Identifiers

PMID26810394
PMCPMC4727322
OpenAlexW2262590875

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.