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.

Highlights

  • Tuberculosis (TB) still causes high economic burden on patients in China, especially for rural patients

  • Results of generalized linear models The Generalized linear model (GLM) estimated that the total costs and OOP expenditures in Dingyuan were higher than those in Danyang, and those in Huining were lower than those in Dangyang

  • TB inpatients in specialized hospitals incurred an average of 350.96 USD increase (p < 0.001) in the total cost and 203.68 USD increase (p < 0.001) in OOP expenditures compared to general hospitals

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Summary

Introduction

Tuberculosis (TB) still causes high economic burden on patients in China, especially for rural patients. Despite the implementation of preferential policies for rural TB patients when obtaining medical services, costs for diagnosis and treatment remain expensive [6, 7] the poor have higher TB prevalence and incidence and face more serious nonmedical costs than relatively wealthier patients [8, 9]. Such condition exposes rural TB patients’ households at a higher risk of catastrophic health expenditure. Identifying appropriate ways to reduce rural TB patients’ economic burden effectively is essential and urgent

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