Evidence map›Paper›PMID 32652944›Full record

ArticleBMC infectious diseases2020

What causes high costs for rural tuberculosis inpatients? Evidence from five counties in China.

Haomiao Li, Bin Cheng, Yingchun Chen

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.0field-weighted citation impact, top 61% 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

3 citing papers in PubMed, 3 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

3 authors at 3 institutions in 1 country.

Haomiao LiDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Bin ChengChina National Health Development Research Center, Beijing, 100044, China.
Yingchun ChenResearch center for Rural Health Services, Hubei Province Key Research Institute of Humanities and Social Sciences, Wuhan, 430030, Hubei, China. chenyingchunhust@163.com.ORCID http://orcid.org/0000-0001-9400-0308
China National Health Development Research Center · CNHubei Academy of Agricultural Sciences · CNWuhan University · CN

Funding

National Natural Science Foundation of China 71473096National Natural Science Foundation of China 71673101
6 · The paper itself

Abstract

backgroundTuberculosis (TB) still causes high economic burden on patients in China, especially for rural patients. Our study aims to explore the risk factors associated with the high costs for TB inpatients in rural China from the aspects of inpatients' socio-demographic and institutional attributes.

methodsGeneralized linear models were utilized to investigate the factors associated with TB inpatients' total costs and out-of-pocket (OOP) expenditures. Quantile regression (QR) models were applied to explore the effect of each factor across the different costs range and identify the risk factors of high costs.

resultsTB inpatients with long length of stay and who receive hospitalization services cross provincially, in tertiary and specialized hospitals were likely to face high total costs and OOP expenditures. QR models showed that high total costs occurred in Dingyuan and Funan Counties, but they were not accompanied by high OOP expenditures.

conclusionsEarly diagnosis, standard treatment and control of drug-resistant TB are still awaiting for more efforts from the government. TB inpatients should obtain medical services from appropriate hospitals. The diagnosis and treatment process of TB should be standardized across all designated medical institutions. Furthermore, the reimbursement policy for migrant workers who suffered from TB should be ameliorated.

Indexed as

AdolescentAdultAgedChinaFemaleHealth Care CostsHealth ExpendituresHumansInpatientsLength of StayMaleMiddle AgedRegression AnalysisRural PopulationTertiary Care CentersTuberculosisEconomic burdenGeneralized linear modelsInstitutional attributesQuantile regressionRural ChinaSocio-demographic statusTuberculosis

Identifiers

PMID32652944
PMCPMC7353759
OpenAlexW3041370904

What OpenQuestion holds

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LicenceCC BY
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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.