Evidence map›Paper›PMID 33883030›Full record

ArticleInfectious diseases of poverty2021

Impacts of a comprehensive tuberculosis control model on the quality of clinical services and the financial burden of treatment for patients with drug-resistant tuberculosis in China: a mixed-methods evaluation.

Wei-Xi Jiang, Zhi-Peng Li, Qi Zhao, Meng-Qiu Gao, Qian Long, Wei-Bing Wang, Fei Huang, Ni Wang, Sheng-Lan Tang

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Observational
  4. 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

9 authors at 5 institutions in 2 countries.

Wei-Xi JiangGlobal Health Research Center, Duke Kunshan University, No. 8 Duke Avenue, Kunshan, 215316, Jiangsu, China.
Zhi-Peng LiSchool of Public Health, Fudan University, 130 Dongan Road, Shanghai, 200032, China.
Qi ZhaoSchool of Public Health, Fudan University, 130 Dongan Road, Shanghai, 200032, China.
Meng-Qiu GaoBeijing Chest Hospital, Capital Medical University, No. 9 Beiguan Road, Beijing, 101149, China.
Qian LongGlobal Health Research Center, Duke Kunshan University, No. 8 Duke Avenue, Kunshan, 215316, Jiangsu, China.
Wei-Bing WangSchool of Public Health, Fudan University, 130 Dongan Road, Shanghai, 200032, China.
Fei HuangNational Center for Tuberculosis Control and Prevention, China CDC, No.155 Changbai Road, Changping District, Beijing, 102206, China.
Ni WangNational Center for Tuberculosis Control and Prevention, China CDC, No.27 Nanwei Road, Xicheng District, Beijing, 100050, China. wangni@chinacdc.cn.
Sheng-Lan TangDuke Global Health Institute, Duke University, 310 Trent Drive, Durham, NC, 27710, USA. shenglan.tang@duke.edu.ORCID http://orcid.org/0000-0001-9214-7787
Fudan University · CNChinese Center For Disease Control and Prevention · CNDuke Kunshan University · CNCapital Medical University · CNDuke University · US

Funding

the Bill and Melinda Gates Foundation OPP1149395
6 · The paper itself

Abstract

backgroundThe China National Health Commission-Gates TB Project Phase III implemented a comprehensive TB control model including multiple interventions to address the burden of drug-resistant TB (DRTB). This study aims to evaluate the quality of DRTB clinical services and assess the financial burden of DRTB patients during the intervention period.

methodsA mixed-methods approach was used to evaluate the effectiveness of interventions in the three project provinces: Zhejiang, Jilin and Ningxia Hui Autonomous Region. The quantitative data included de-identified DRTB registry data during 2015-2018 in project provinces from China CDC, medical records of DRTB patients registered in 2018 (n = 106) from designated hospitals, and a structured DRTB patient survey in six sample prefectures in 2019. The quality of clinical services was evaluated using seven indicators across patient screening, diagnosis and treatment. Logistic regression was conducted to explore factors associated with the extremely high financial burden. Semi-structured in-depth interviews with policymakers and focus group discussions with physicians and DRTB patients were conducted to understand the interventions implemented and their impacts.

resultsThe percentage of bacterially confirmed patients taking a drug susceptibility test (DST) increased significantly between 2015 and 2018: from 57.4 to 93.6% in Zhejiang, 12.5 to 86.5% in Jilin, and 29.7 to 91.4% in Ningxia. The treatment enrollment rate among diagnosed DRTB patients also increased significantly and varied from 73 to 82% in the three provinces in 2018. Over 90% of patients in Zhejiang and Jilin and 75% in Ningxia remained in treatment by the end of the first six months' treatment. Among all survey respondents 77.5% incurred extremely high financial burden of treatment. Qualitative results showed that interventions on promoting rapid DST technologies and patient referral were successfully implemented, but the new financing policies for reducing patients' financial burden were not implemented as planned.

conclusionsThe quality of DRTB related clinical services has been significantly improved following the comprehensive interventions, while the financial burden of DRTB patients remains high due to the delay in implementing financing policies. Stronger political commitment and leadership are required for multi-channel financing to provide additional financial support to DRTB patients.

Indexed as

TuberculosisTuberculosis, Multidrug-ResistantChinaDelivery of Health CareHumansPolicyDrug-resistant tuberculosisFinancial burdenQuality of health services

Identifiers

PMID33883030
PMCPMC8059277
OpenAlexW3114255387

What OpenQuestion holds

Textmetadata
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.