Evidence map›Paper›PMID 36573226›Full record

ArticlePatient preference and adherence2022

Impacts of Medical Security Level on Treatment Outcomes of Drug-Resistant Tuberculosis: Evidence from Wuhan City, China.

Xiao Liu, Kun-He Lin, Yue-Hua Li, Jun-Nan Jiang, Zheng-Dong Zhong, Ying-Bei Xiong, Jin Zhou, Li Xiang

Abstract read
In one paragraph

Article in Patient preference and adherence, 2022. 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
–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

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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.

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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.

Xiao Liu *School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Kun-He Lin *School of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Yue-Hua LiWuhan Center for Tuberculosis Control and Prevention, Wuhan Pulmonary Hospital, Wuhan, People's Republic of China.
Jun-Nan JiangSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan, People's Republic of China.
Zheng-Dong ZhongSchool of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Ying-Bei XiongSchool of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Jin ZhouSchool of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Li XiangSchool of Medicine and Health Management, Huazhong University of Science and Technology, Wuhan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Drug-resistant tuberculosis (DR-TB) is an increasingly serious global issue. DR-TB has a lower success rate and more severe interruption of treatment than ordinary tuberculosis. Incomplete treatment not only reduces recovery rate in DR-TB patients but also increases the spread of DR-TB. Optimizing medical security policies for DR-TB can reduce the economic burden of patients and can thereby improve treatment success rate. Methods: Patients with DR-TB who were registered in Wuhan Center for Tuberculosis Control and Prevention from January 2016 to December 2019 were selected as research subjects. General descriptive statistical analysis methods were used in analyzing patients' treatment outcomes and medical security compensation rate. The binary logistic regression was used in analyzing the impacts of medical security level on treatment outcomes of DR-TB. Results: A total of 409 DR-TB patients were included in the study, and the refusal rate was 12.47%. The treatment success rate was only 37.09% for patients who started treatment and had treatment outcomes. The total out-of-pocket expenses (OOPs) per capita for DR-TB patients were 13,005.61 Chinese yuan. The outpatient effective compensation ratio (ECR) of DR-TB patients was only 51.04%. The outpatient ECR of DR-TB with subsidies of public health projects (SPHPs) were nearly 80% higher than those without SPHP. high outpatient ECR helped optimize treatment outcomes (P < 0.001, OR = 1.038). The inpatient ECR had no effect on patients' treatment outcomes (P = 0.158, OR = 0.986). Conclusion: Many DR-TB patients did not receive complete treatment. The key breakthrough point in improving DR-TB treatment outcomes is to optimize the outpatient medical insurance compensation policy. Including the costs of DR-TB in expenses for severe diseases in outpatient care is recommended, and financial investment should be appropriately increased to ensure the high coverage ratio of subsidies for public health projects.

Indexed as

drug-resistant tuberculosismedical securitytreatment outcomes

Identifiers

PMID36573226
PMCPMC9789709

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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.