Tuberculosis Hospitalization Fees and Bed Utilization in China from 1999 to 2009: The Results of a National Survey of Tuberculosis Specialized Hospitals

Direct economic burden of patients with tuberculous meningitis in western China

OBJECTIVE

To estimate the direct economic burden of tuberculous meningitis (TBM) in China for the first time.

METHODS

Patients who were first diagnosed with TBM from December 2015 to December 2018 in Western China Hospital were enrolled. We retrospectively collected data on demographic and clinical features, resource utilization, costs, and long-term outcomes. The patients were followed up for 15-53 months. We performed a cost-of-illness study and analyzed the cost contributors with a generalized linear model.

RESULTS

In total, the cases of 154 TBM patients (95 males, 59 females, aged 14-82 years) were reviewed. The average total direct cost per person was USD (United States dollars) 9,484 (range 1,822-67,285), with a mean direct medical cost of USD 8,901 (range 1,189-67,049). The average inpatient cost and drug cost after discharge were USD 6,837 (range 845-52,921) and USD 1,967 (range 0-60,423), respectively. The mean direct nonmedical cost was USD 583 (range 33-3,817), which accounted for 6.2% of the total direct cost. The average length of stay (LOS) in hospital was 25.0 days (range 6-152). A total of 117 of the patients (76.0%) had good outcomes (mRS = 0-2). There was no significant difference in the costs, LOS, or outcomes between rural and urban patients. Contributors to total direct cost were definite TBM, fever, coma, seizures, multidrug resistance, hydrocephalus, and poor long-term outcome.

CONCLUSIONS

Although the accessibility of medical resources in remote and rural regions has significantly improved in China, the cost of TBM imposes a catastrophic burden on patients.

Spatiotemporal characteristics and the epidemiology of tuberculosis in China from 2004 to 2017 by the nationwide surveillance system

Background

China has always been one of the countries with the most serious Tuberculosis epidemic in the world. Our study was to observe the Spatial-temporal characteristics and the epidemiology of Tuberculosis in China from 2004 to 2017 with Joinpoint regression analysis, Seasonal Autoregressive integrated moving average (SARIMA) model, geographic cluster, and multivariate time series model.

Methods

The data of TB from January 2004 to December 2017 were obtained from the notifiable infectious disease reporting system supplied by the Chinese Center for Disease Control and Prevention. The incidence trend of TB was observed by the Joinpoint regression analysis. The Seasonal autoregressive integrated moving average (SARIMA) model was used to predict the monthly incidence. Geographic clusters was employed to analyze the spatial autocorrelation. The relative importance component of TB was detected by the multivariate time series model.

Results

We included 13,991,850 TB cases from January 2004 to December 2017, with a yearly average morbidity of 999,417 cases. The final selected model was the 0 Joinpoint model (P = 0.0001) with an annual average percent change (AAPC) of − 3.3 (95% CI: − 4.3 to − 2.2, P < 0.001). A seasonality was observed across the 14 years, and the seasonal peaks were in January and March every year. The best SARIMA model was (0, 1, 1) X (0, 1, 1)₁₂ which can be written as (1-B) (1-B¹²) X_t = (1–0.42349B) (1–0.43338B¹²) ε_t, with a minimum AIC (880.5) and SBC (886.4). The predicted value and the original incidence data of 2017 were well matched. The MSE, RMSE, MAE, and MAPE of the modelling performance were 201.76, 14.2, 8.4 and 0.06, respectively. The provinces with a high incidence were located in the northwest (Xinjiang, Tibet) and south (Guangxi, Guizhou, Hainan) of China. The hotspot of TB transmission was mainly located at southern region of China from 2004 to 2008, including Hainan, Guangxi, Guizhou, and Chongqing, which disappeared in the later years. The autoregressive component had a leading role in the incidence of TB which accounted for 81.5–84.5% of the patients on average. The endemic component was about twice as large in the western provinces as the average while the spatial-temporal component was less important there. Most of the high incidences (> 70 cases per 100,000) were influenced by the autoregressive component for the past 14 years.

Conclusion

In a word, China still has a high TB incidence. However, the incidence rate of TB was significantly decreasing from 2004 to 2017 in China. Seasonal peaks were in January and March every year. Obvious geographical clusters were observed in Tibet and Xinjiang Province. The relative importance component of TB driving transmission was distinguished from the multivariate time series model. For every provinces over the past 14 years, the autoregressive component played a leading role in the incidence of TB which need us to enhance the early protective implementation.

Factors Influencing Hospitalization Rates and Inpatient Cost of Patients with Tuberculosis in Jiangsu Province, China: An Uncontrolled before and after Study

Objective: The China Center for Disease Control and Prevention (CDC) introduced an innovative financing model of tuberculosis (TB) care and control with the aim of standardizing TB treatment and reducing the financial burden associated with patients with TB. This is a study of the pilot implementation of new financing mechanism in Zhenjiang, between 2014–2015. We compared TB hospitalization rates and inpatient service costs before and after implementation to examine the factors associated with hospital admissions. Our goal is to provide evidence-based recommendations for improving TB service provision and cost control. Methods: We reviewed new policy documents on TB financing. We conducted a patient survey to investigate the utilization of inpatient services, and patients’ out-of-pocket payment for inpatient care. We extracted total medical expenditures of inpatient services from inpatient records of TB designated hospitals. Findings: 63.6% (n = 159) of the surveyed patients with TB were admitted for treatment in 2015, which was higher than that in 2013 (54.8%, n = 144). The number of hospital admission was slightly lower in 2015 (1.16 per patient) than in 2013 (1.26 per patient), while the length of hospital stay was longer in 2015 (24 days) than in 2013 (16 days). In 2015, patients from families with low incomes were more likely to be admitted than those from higher income groups (OR = 3.06, 95% CI: 1.12–8.33). The average inpatient service cost in 2015 (3345 USD) was 1.7 times the cost in 2013 (1952 USD). It was found that 96.2% of patients with TB who were from low-income households spent more than 20% of their household income on inpatient care in 2013, versus 100% in 2015. Conclusion: The TB hospital admission rate and total inpatient service cost increased over the study period. The majority of patients with TB, particularly poor patient who used inpatient care, continue to suffer from heavy financial burden.

Over- and under-treatment of TB patients in Eastern China: an analysis based on health insurance claims data

Objective

Poor compliance with existing guidelines for tuberculosis (TB) care and treatment is an issue of concern in China. We assessed health service use by TB patients over the entire treatment process and compared it to the recommended guidelines.

Methods

We collected insurance claims data in three counties of one province of Eastern China. Patient records with a diagnosis of ‘pulmonary TB’ in 2015 and 2016 were extracted. Treatment duration, number of outpatient (OP) visits and hospital admissions, as well as total cost, out‐of‐pocket (OOP) payments and effective reimbursement rates were analysed.

Results

A total of 1394 patients were included in the analysis. More than 48% received over the 8 months of treatment that TB guidelines recommend, and over 28% received less. 49% of Urban and Rural Resident Basic Medical Insurance (URRBMI) TB patients were hospitalised while 30% of those with Urban Employee Basic Medical Insurance (UEBMI) had at least one admission. Median total cost for patients with hospital admission was almost 10 times that of patients without. By comparison, the average OOP was 5 times higher. UEBMI patients had a shorter treatment period, more outpatient visits but considerably fewer hospital admissions than URRBMI patients.

Conclusions

We found an alarming extent of TB over‐ and under‐treatment in our study population. There is an urgent need to improve compliance with treatment guidelines in China and to better understand the drivers of divergence. Extending the coverage of health insurance schemes and increasing reimbursement rates for TB outpatient services would seem to be key factors in reducing both the overall cost and financial burden on patients.

The spatio-temporal analysis of the incidence of tuberculosis and the associated factors in mainland China, 2009-2015

BACKGROUND

Tuberculosis is still one of the most infectious diseases in China. This study aimed to explore the spatio-temporal distribution of TB and the associated factors in mainland China from 2009 to 2015.

METHODS

A Bayesian spatio-temporal model was utilized to analyse the correlation of socio-economic, healthcare, demographic and meteorological factors with the population level number of TB.

RESULTS

The Bayesian spatio-temporal analysis showed that for the population level number of TB, the estimated parameters of the ratio of males to females, the number of beds in medical institutions, the population density, the proportion of the population that is rural, the amount of precipitation, the largest wind speed and the sunshine duration were 0.556, 0.197, 0.199, 29.03,0.1958, 0.0854 and 0.2117, respectively, demonstrating positive associations. However, health personnel, per capita annual gross domestic product, minimum temperature and humidity indicated negative associations, and the corresponding parameters were -0.050, -0.095, -0.0022 and -0.0070, respectively.

CONCLUSIONS

Socio-economic, number of health personnel, demographic and meteorological factors could affect the case notification number of TB to different degrees and in different directions.

Implementing the End TB Strategy in the Western Pacific Region: Translating vision into reality

The End TB Strategy aims to end the global tuberculosis (TB) epidemic by 2035 in line with the sustainable development goals targets and has been implemented in the World Health Organization (WHO) Western Pacific Region since 2015. Significant progress has been made in implementing this strategy. However, several challenges still remain. In 2016, an estimated 1.8 million people developed TB in the region, and of these about 20% were missed by national TB programmes. The gap in diagnosis and enrolment as well as treatment completion is greater with drug-resistant TB. Many TB-affected families face catastrophic costs due to the disease. Sustaining financing for TB care is a long-term challenge in many countries. This article emphasizes targeted interventions in high-risk populations, including systematic screening and patient-centred TB care. Several other approaches including improving TB diagnostic tools and algorithm, and engaging all care providers are suggested to find missing TB patients. Drug-resistant TB requires additional resourcing for laboratories, enrolment and patient support. Specific measures are required at different levels to mitigate financial burden due to TB including linking TB to overall social protection schemes. The Moscow Ministerial conference in 2017 and upcoming United Nations (UN) 2018 high-level meeting provide an opportunity to raise TB higher on the global agenda, forge partnerships and move towards universal health coverage.

Socio-Economic Predictors and Distribution of Tuberculosis Incidence in Beijing, China: A Study Using a Combination of Spatial Statistics and GIS Technology

Evidence shows that multiple factors, such as socio-economic status and access to health care facilities, affect tuberculosis (TB) incidence. However, there is limited literature available with respect to the correlation between socio-economic/health facility factors and tuberculosis incidence. This study aimed to explore the relationship between TB incidence and socio-economic/health service predictors in the study settings. A retrospective spatial regression analysis was carried out based on new sputum smear-positive pulmonary TB cases in Beijing districts. Global Moran’s I analysis was adopted to detect the spatial dependency followed by spatial regression models (spatial lag model, and spatial error model) along with the ordinary least square model were applied to examine the correlation between TB incidence and predictors. A high incidence of TB was seen in densely populated districts in Beijing, e.g., Haidian, Mentougou, and Xicheng. After comparing the R², log-likelihood, and Akaike information criterion (AIC) values among three models, the spatial error model (R² = 0.413; Log Likelihood = −591; AIC = 1199.76) identified the best model fit for the spatial regression model. The study showed that the number of beds in health institutes (p < 0.001) and per capita gross domestic product (GDP) (p = 0.025) had a positive effect on TB incidence, whereas population density (p < 0.001) and migrated population (p < 0.001) had an adverse impact on TB incidence in the study settings. High TB incidence districts were detected in urban and densely populated districts in Beijing. Our findings suggested that socio-economic predictors influence TB incidence. These findings may help to guide TB control programs and promote targeted intervention.

Antituberculosis drug prescribing for inpatients in a national tuberculosis hospital in China, 2011-2015

OBJECTIVES

This study aimed to describe trends in antituberculosis drug prescribing for inpatients from 2011-2015 in a Chinese national tuberculosis (TB) hospital.

METHODS

This retrospective study, performed in March 2016, reviewed the medical records of all inpatients from Beijing Chest Hospital diagnosed with TB between 2011-2015. Medication used for TB treatment during the inpatient period was recorded.

RESULTS

A total of 11465 inpatients were enrolled in the study. The most frequently prescribed drug for inpatients was isoniazid (71.2%; 8164/11465), followed by ethambutol (67.5%; 7738/11465), pyrazinamide (59.7%; 6839/11465) and rifampicin (40.0%; 4589/11465). In addition, amikacin (16.5%; 1889/11465), levofloxacin (33.0%; 3789/11465), para-aminosalicylic acid (12.4%; 1422/11465) and clarithromycin (3.5%; 406/11465) were the most common drugs used in the treatment of inpatients for Group II, III, IV and V drugs, respectively. A significant increasing trend in prescribing was found for rifampicin, pyrazinamide, capreomycin, moxifloxacin, prothionamide, para-aminosalicylic acid, cycloserine, clofazimine and linezolid, respectively, whilst there was a significant decreasing trend in the rate of prescribing of ethambutol, amikacin, levofloxacin, amoxicillin/clavulanic acid and clarithromycin during the 5-year study period (P_trend<0.01).

CONCLUSIONS

These data demonstrate that prescription of anti-TB drugs varied greatly across clinical diagnostic categories, treatment history and drug susceptibility profiles of TB patients. The World Health Organization (WHO)-endorsed standard regimen should be more extensively employed under conditions where drug susceptibility testing is unavailable in order to guide clinicians to formulate a suitable treatment regimen for TB patients.

Factors that associated with TB patient admission rate and TB inpatient service cost: a cross-sectional study in China

Background

China has recently adopted the “TB designated hospital model” to improve the quality of tuberculosis (TB) treatment and patient management. Considering that inpatient service often results in high patient financial burden, and therefore influences patient adherence to treatment, it is critical to better understand the TB patient admission rate and TB inpatient service cost, as well as their influential factors in this new model.

Methods

Quantitative and qualitative studies were conducted in two cities, Hanzhong in Shaanxi Province and Zhenjiang in Jiangsu Province, in China. Quantitative data were obtained from a sample survey of 533 TB patients and TB inpatient records from 2010–2012 in six county designated hospitals. Qualitative information was obtained through interviews with key stakeholders (40 key informant interviews, 14 focus group discussions) and reviews of health policy documents in study areas. Both univariate and multivariate statistical analyses were applied for the quantitative analysis, and the thematic framework approach was applied for the qualitative analysis.

Results

The TB patient admission rates in Zhenjiang and Hanzhong were 54.8 and 55.9 %, respectively. Qualitative analyses revealed that financial incentives, misunderstanding of infectious disease control and failure of health insurance regulations were the key factors associated with the admission rates and medical costs. Quantitative analyses found differences in hospitalization rate existed among patients with different health insurance and patients from different counties. Average medical costs for TB inpatients in Jurong and Zhenba were 7,215 CNY and 4,644 CNY, which was higher than the 5,500 CNY and 3,800 CNY limits set by the New Rural Cooperative Medical System. No differences in medical cost or length of stay were found between patients with and without comorbidities in county-level hospitals.

Conclusions

TB patient admission rates and inpatient service costs were relatively high. Studies of related factors indicated that a package of interventions, including health education programs, reform of health insurance regulations and improvement of TB treatment guidelines, are urgently required to ensure that TB patients receive appropriate care.

Electronic supplementary material

The online version of this article (doi:10.1186/s40249-016-0097-x) contains supplementary material, which is available to authorized users.