Evidence map›Paper›PMID 28114320›Full record

ArticlePloS one2017

Reasons for Non-Enrollment in Treatment among Multi-Drug Resistant Tuberculosis Patients in Hunan Province, China.

Zuhui Xu, Tao Xiao, Yanhong Li, Kunyun Yang, Yi Tang, Liqiong Bai

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

6 authors.

Zuhui XuDepartment of tuberculosis control, Tuberculosis Control Institute of Hunan Province, Changsha city, Hunan province, China.ORCID http://orcid.org/0000-0003-0757-2768
Tao XiaoDepartment of tuberculosis control, Tuberculosis Control Institute of Hunan Province, Changsha city, Hunan province, China.
Yanhong LiDepartment of tuberculosis control, Tuberculosis Control Institute of Hunan Province, Changsha city, Hunan province, China.
Kunyun YangDepartment of MDR-TB internal medicine, Hunan Chest hospital, Changsha city, Hunan province, China.
Yi TangDepartment of tuberculosis control, Tuberculosis Control Institute of Hunan Province, Changsha city, Hunan province, China.
Liqiong BaiDepartment of director's office, Tuberculosis Control Institute of Hunan Province, Changsha city, Hunan province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2015, only 49% of notified multi-drug resistant tuberculosis (MDR-TB) patients in China were estimated to have initiated treatment, compared with 90% of those worldwide. A case-control study was conducted to identify the reasons for non-enrollment in treatment among MDR-TB patients in Hunan province, China. All detected MDR-TB patients registered in designated MDR-TB hospitals in Hunan province from 2011 to 2014 were included and followed until June 2015 to determine their treatment status. Approximately 33.8% (482/1425) of patients were not enrolled in standardized treatment. Factors associated with lower enrollment rate were: age greater than 60 years, living in rural area, unemployed or occupation unreported. Of those who were not enrolled in MDR-TB treatment, the primary reasons for non-enrollment included economic hardship (23.0%), out-migration for work (18.0%), concerns about work and studies (13.7%), and the belief that they were cured after undergoing drug-sensitive TB treatment (12.4%). Therefore, comprehensive strategies targeting priority populations, especially those enhancing treatment affordability and availability, need to be implemented to improve MDR-TB control.

Indexed as

Patient Acceptance of Health CareAdultChinaFemaleHumansMaleMiddle AgedTuberculosis, Multidrug-ResistantYoung Adult

Identifiers

PMID28114320
PMCPMC5257000

What OpenQuestion holds

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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.