Literature DB >> 26549907

Tuberculosis control in China: use of modelling to develop targets and policies.

Hsien-Ho Lin1, Lixia Wang2, Hui Zhang2, Yunzhou Ruan2, Daniel P Chin3, Christopher Dye4.   

Abstract

It is unclear if current programmes in China can achieve the post-2015 global targets for tuberculosis - 50% reduction in incidence and a 75% reduction in mortality by 2025. Chinese policy-makers need to maintain the recent decline in the prevalence of tuberculosis, while revising control policies to cope with an epidemic of drug-resistant tuberculosis and the effects of ongoing health reform. Health reforms are expected to shift patients from tuberculosis dispensaries to designated hospitals. We developed a mathematical model of tuberculosis control in China to help set appropriate targets and prioritize interventions that might be implemented in the next 10 years. This model indicates that, even under the most optimistic scenario - improved treatment in tuberculosis dispensaries, introduction of a new effective regimen for the treatment of drug-susceptible tuberculosis and optimal care of cases of multidrug-resistant tuberculosis - the current global targets for tuberculosis are unlikely to be reached. However, reductions in the incidence of multidrug-resistant tuberculosis should be feasible. We conclude that a shift of patients from tuberculosis dispensaries to designated hospitals is likely to hamper efforts at tuberculosis control if cure rates in the designated hospitals cannot be maintained at a high level. Our results can inform the planning of tuberculosis control in China.

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Year:  2015        PMID: 26549907      PMCID: PMC4622160          DOI: 10.2471/BLT.15.154492

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


Introduction

In China, between 1990 and 2010, the prevalence of smear-positive tuberculosis and tuberculosis-related mortality fell by 63% and 80%, respectively – one of the most rapid declines in tuberculosis morbidity and mortality in the world. These improvements have primarily been attributed to the nationwide scale-up of a tuberculosis control programme using short-courses of directly observed treatment, implemented by the Chinese Center for Disease Control and Prevention (CCDC).Between 2000 and 2010, this scale-up was associated with a substantial increase in the proportion of people treated by the Chinese CDC and this increase appears to have played a critical role in reducing tuberculosis prevalence. People with tuberculosis can access care either via the Chinese CDC system of tuberculosis dispensaries or the hospital system. The Chinese CDC system generally diagnoses and treats patients according to national guidelines on tuberculosis control. The hospital system’s employees are supposed to report and refer tuberculosis to the Chinese CDC but some people are still treated in the hospital system without strict adherence to the national guidelines. Whereas people treated by the Chinese CDC have high rates of treatment completion and success, people treated by hospitals often do not take their medications regularly or discontinue treatment prematurely. Despite the progress it has made in tuberculosis control, China is facing a serious epidemic of drug-resistant tuberculosis. A national survey of drug-resistant tuberculosis indicated that, in 2007, there were about 110 000 new diagnoses of multidrug-resistant (MDR) tuberculosis (5.7% of total diagnoses), while the prevalence of MDR-tuberculosis among those people who had previously been treated for tuberculosis was 25.6%. Although MDR tuberculosis can develop as the result of unsuccessful treatment in the hospital system, a large proportion of all incident MDR tuberculosis probably results from person-to-person transmission. An effective programme to prevent as well as to diagnose and treat MDR tuberculosis is urgently needed in China. The World Health Assembly recently agreed upon new post-2015 global targets for tuberculosis control: global reductions in tuberculosis incidence and mortality by 50% and 75%, respectively, between 2015 and 2025. It is unclear if China can achieve these new targets, especially given the growing epidemic of MDR tuberculosis. Fortunately, innovations in tuberculosis diagnosis and treatment are either already available or will soon be available. One major concern is that, as part of ongoing health reform, the government is gradually shifting tuberculosis treatment from the Chinese CDC system to designated hospitals. This shift may adversely affect tuberculosis control if the designated hospitals cannot match or exceed the quality of care currently provided by the Chinese CDC. To help policy-makers set appropriate tuberculosis-control targets and prioritize the related interventions that might be implemented in the next 10 years, we model the potential impact of current and alternative control measures on the epidemiology of tuberculosis in China. In this paper we describe this analysis and its potential impact on future policies and interventions for tuberculosis control in China.

Model-based analysis

The analysis was developed by a group of tuberculosis modellers, officers of the Chinese CDC and Chinese experts on tuberculosis control. The engagement of policy and field experts ensured that key policy questions were addressed and country-specific contexts – e.g. the different health systems available for tuberculosis care – were reflected in the analysis. Following the suggestions of the policy and field experts, five main scenarios for the future control of tuberculosis were analysed. These scenarios represent the range of policies and interventions that are being considered and could be implemented in China over the next 10 years (Box 1).

Scenario 1: Status quo

The current control programme remains unchanged. Most people (80%) are treated in the Chinese Center for Disease Control and Prevention (CDC) system with the rest treated in the hospital system.a There is no detection or treatment of multidrug-resistant (MDR) tuberculosis.a The long-term cure rates for new treatment and retreatment are 82% and 75%, respectively, in the Chinese CDC system and 55% and 55%, respectively, in the hospital system.a The long-term cure rates for MDR tuberculosis using first-line drugs are 35% in the Chinese CDC system and 30% in the hospital system.a

Scenario 2: Patient shift from Chinese CDC to designated hospitals

The 80% of people currently treated in the Chinese CDC system are shifted to designated hospitals while the 20% currently treated in the hospital system are treated in public hospitals other than the designated ones. The designated hospitals have lower cure rates than the Chinese CDC system but higher cure rates than the other public hospitals: 70% for new treatment and 65% for retreatment.a The long-term cure rate for MDR tuberculosis using first-line drugs is 30% in all of the public hospitals.

Scenario 3A: Improving treatment outcome for drug-susceptible (DS) tuberculosis by referral to Chinese CDC system

People currently treated in the hospital system are referred to – and treated in – the Chinese CDC system. Every person with tuberculosis is therefore treated in the Chinese CDC system.

Scenario 3B: Improving treatment outcome for DS-tuberculosis by use of new treatment regimen

The treatment outcomes for DS-tuberculosis, in both the Chinese CDC and hospital systems, are improved by the use of a new and better treatment regimen and the use of adherence technologies.– The long-term cure rates in both systems become 92% for new treatment and 90% for retreatment.a

Scenario 4A: Use of the currently best programmes for the diagnosis and treatment of MDR-tuberculosis

Most smear-positive patients (90%) received rapid molecular testing for drug resistance and 70% of patients detected with MDR tuberculosis are placed on second-line therapy. The long-term cure rate for MDR tuberculosis with second-line therapy is 60%.a

Scenario 4B: Use of optimized programmes for the diagnosis and treatment of MDR tuberculosis

New diagnostic tools – e.g. rapid molecular testing – and new treatment regimen for MDR tuberculosis are widely and effectively applied. Most tuberculosis patients (90%) receive resistance testing, 85% of people with MDR tuberculosis are placed on a new and more effective treatment regimen, and the long-term cure rate for MDR-tuberculosis on the new regimen is 82%.,–

Scenario 5: Combination of Scenarios 3A, 3B and 4B

Every person with tuberculosis is treated in the Chinese CDC system, the treatment outcomes for DS-tuberculosis are improved by the use of a new and better treatment regimen and adherence technologies, and the detection and treatment of MDR tuberculosis is improved. a The parameters are based on the unpublished opinions or estimates of a group of Chinese experts on tuberculosis. In scenario 1 – the status quo scenario – 80% of tuberculosis patients receive treatment in the Chinese CDC system and the other 20% are treated in the hospital system. In scenario 2, the delivery of tuberculosis services is shifted from the Chinese CDC to public hospitals that have been designated as tuberculosis service providers. The long-term cure rate for tuberculosis in these designated hospitals was set lower than that in the Chinese CDC system. In scenario 3, the treatment outcome for drug-susceptible tuberculosis – defined as those without the MDR disease – is improved when either, in scenario 3A, 100% of tuberculosis patients are treated in the Chinese CDC system or, in scenario 3B, a new drug regimen along with new technologies to improve treatment adherence are used.– A new diagnosis and treatment programme for MDR tuberculosis is implemented in both scenarios 4A and 4B.,– Scenario 5 represented a potentially optimal situation in which scenarios 3A, 3B and 4B are delivered simultaneously. In all of our analyses we ignored active detection of people with tuberculosis and prophylactic treatment for latent infections. All the interventions were assumed to be implemented from 2015.

Model of transmission

We used a dynamic compartmental model of tuberculosis transmission– in which the whole population is divided into mutually exclusive compartments based on the natural history of tuberculosis – i.e. each individual is deemed susceptible, to have latent infection or active disease, to have been cured after treatment, to have failed or defaulted on treatment, or relapsed after treatment (available from the corresponding author). We categorized the treatment of active tuberculosis as in the Chinese CDC system or in the hospital system. The model was further stratified by two different phenotypes of tuberculosis: drug-susceptible and MDR (Fig. 1). Some of the values we used for the input parameters of the model – e.g. the rate of progression from latent infection to active disease – were based on the results of epidemiological studies of tuberculosis but other values – e.g. the long-term cure rates of drug-susceptible tuberculosis and MDR tuberculosis in the Chinese CDC and hospital systems – were based on the consensus of the national experts (Box 1). The model was calibrated to the reported tuberculosis epidemic in China, using the Bayesian melding approach, accounting for uncertainty in the input parameters.–
Fig. 1

The structure of the dynamic compartmental model of tuberculosis in China

The structure of the dynamic compartmental model of tuberculosis in China CCDC: Chinese Center for Disease Control and Prevention. Note: The green lines represent pathways in which drug-resistant tuberculosis can be generated. Using the calibrated model, we projected the impact of alternative control interventions on the epidemiology of tuberculosis. The cumulative reduction of tuberculosis incidence and mortality between 2015 and 2025 was projected for each scenario and compared with the post-2015 targets for global tuberculosis control. For each scenario, we also projected the absolute prevalence of MDR tuberculosis in the general population and among all people with tuberculosis. Using tornado diagrams and univariable uncertainty analyses, we explored the influence of uncertainty in our parameter values on the reduction of tuberculosis and MDR tuberculosis. Using the posterior resamples from the Bayesian melding procedure, we also conducted multivariable uncertainty analysis of the additional reduction in tuberculosis and MDR tuberculosis under each scenario. We determined 95% credible intervals (CrI) from the posterior simulations. Details of the uncertainty analysis are available from the corresponding author.

Projected impact

Scenario 1

For scenario 1, the dynamic model captured the observed declining trend in tuberculosis incidence, prevalence and mortality as well as the epidemic of MDR tuberculosis. The overall prevalence of tuberculosis (Fig. 2) was projected to continue its current downward trend because effective surveillance and treatment reduces transmission and brings the basic reproductive rate (R0) below 1. Between 2015 and 2025, however, tuberculosis incidence and mortality in China (Fig. 3 and Fig. 4) were projected to fall by only 11.6% (95% CrI: 9.4 to 14.1%) and 13.0% (95% CrI: 10.4 to 15.6%), respectively (Table 1).
Fig. 2

Projected impact of different scenarios of tuberculosis control on the prevalence of pulmonary tuberculosis, China, 2015–2025

Fig. 3

Projected impact of different scenarios of tuberculosis control on the annual incidence of pulmonary tuberculosis, China, 2015–2025

Fig. 4

Projected impact of different scenarios of tuberculosis control on mortality associated with pulmonary tuberculosis, China, 2015–2025

Table 1

Projected impacts of different intervention scenarios on tuberculosis epidemiology in China between 2015 and 2025

ScenarioIncident tuberculosis
Tuberculosis-related death
Cumulative No., in thousands (95% CrI)Cumulative reduction, % (CrI)No. prevented, in thousands (95% CrI)aCumulative No., in thousands (95% CrI)Cumulative reduction, % (CrI)No. prevented, in thousands (95% CrI)a
19 949 (8 277 to 11 371)11.6 (9.4 to 14.1)0 (0)765 (513 to 964)13.0 (10.4 to 15.6)0 (0)
210 057 (8 356 to 11 491)10.0 (6.9 to 12.5)−107 (−197 to −52)b790 (525 to 981)9.4 (4.6 to 13.0)−25 (−44 to −12)b
3A9 712 (8 062 to 11 136)15.6 (12.9 to 19.6)237 (177 to 333)708 (471 to 912)22.3 (18.4 to 27.9)58 (34 to 85)
3B9 599 (7 953 to 10 930)17.0 (14.1 to 20.7)351 (261 to 529)684 (451 to 897)25.1 (20.5 to 32.0)82 (58 to 126)
4A9 914 (8 248 to 11 336)12.1 (9.9 to 15.0)36 (16 to 77)757 (508 to 958)14.2 (11.7 to 17.1)8 (4 to 17)
4B9 884 (8 224 to 11 304)12.6 (10.3 to 15.9)66 (31 to 148)749 (501 to 952)15.2 (12.6 to 18.7)16 (9 to 31)
59 515 (7 883 to 10 852)18.2 (15.5 to 22.5)434 (317 to 634)664 (437 to 881)27.9 (22.2 to 36.0)101 (71 to 153)

CrI: credible interval.

a Compared with the status quo of scenario 1.

b Negative values indicate an increase in the tuberculosis burden.

Projected impact of different scenarios of tuberculosis control on the prevalence of pulmonary tuberculosis, China, 2015–2025 Note: The scenarios are as follows: 1: status quo; 2: shift from CCDC to hospital; 3A: all treated in CCDC; 3B: improved treatment of DS-TB; 4A: current best MDR-TB program; 4B: optimized MDR-TB program; 5: combined intervention. CCDC: Chinese Center for Disease Control and Prevention; DS-TB: drug-susceptible tuberculosis; MDR-TB: multidrug-resistant tuberculosis. Projected impact of different scenarios of tuberculosis control on the annual incidence of pulmonary tuberculosis, China, 2015–2025 Note: The scenarios are as follows: 1: status quo; 2: shift from CCDC to hospital; 3A: all treated in CCDC; 3B: improved treatment of DS-TB; 4A: current best MDR-TB program; 4B: optimized MDR-TB program; 5: combined intervention. CCDC: Chinese Center for Disease Control and Prevention; DS-TB: drug-susceptible tuberculosis; MDR-TB: multidrug-resistant tuberculosis. Projected impact of different scenarios of tuberculosis control on mortality associated with pulmonary tuberculosis, China, 2015–2025 Note: The scenarios are as follows: 1: status quo; 2: shift from CCDC to hospital; 3A: all treated in CCDC; 3B: improved treatment of DS-TB; 4A: current best MDR-TB program; 4B: optimized MDR-TB program; 5: combined intervention. CCDC: Chinese Center for Disease Control and Prevention; DS-TB: drug-susceptible tuberculosis; MDR-TB: multidrug-resistant tuberculosis. CrI: credible interval. a Compared with the status quo of scenario 1. b Negative values indicate an increase in the tuberculosis burden.

Scenarios 2 to 5

In scenario 2, shifting tuberculosis treatment from the Chinese CDC system to designated hospitals had a negative impact on the tuberculosis epidemic, since we defined the cure rate of patients in the designated hospitals as lower than that in the Chinese CDC system (Fig. 2, Fig. 3 and Fig. 4). Under this scenario, the cumulative reduction of tuberculosis incidence and mortality by 2025 would only be 10.0% (95% CrI: 6.9 to 12.5%) and 9.4% (95% CrI: 4.6 to 13.0%), respectively (Table 1). Compared with scenario 1, scenario 2 would result in 107 000 people with tuberculosis and 25 000 additional tuberculosis-related deaths in the decade beginning in 2015 (Table 1). Further improvement in the treatment outcomes for drug-susceptible tuberculosis would accelerate the decline in the general tuberculosis epidemic (Fig. 2, Fig. 3 and Fig. 4). If, as in scenario 3A, all patients in the hospital system were shifted to the Chinese CDC system, the reductions in tuberculosis incidence and mortality would be improved to 15.6% (95% CrI: 12.9 to 19.6%) and 22.3% (95% CrI: 18.4 to 27.9%;), respectively, by 2025 (Table 1). If, as in scenario 3B, the long-term cure rate could be raised to over 90%, through the use of new tuberculosis treatments and adherence technologies – then tuberculosis incidence and mortality would be expected to fall by 17.0% (95% CrI: 14.1 to 20.7%) and 25.1% (95% CrI: 20.5 to 32.0%), respectively, by 2025 (Table 1). Compared with scenario 1, such improvement in the treatment of drug-susceptible tuberculosis could prevent 237 000 to 351 000 new people with tuberculosis and 58 000 to 82 000 deaths from tuberculosis in the decade beginning in 2015 (Table 1). As seen in scenarios 4A and 4B, provision of diagnosis and treatment for MDR tuberculosis would have little impact on the general tuberculosis epidemic because MDR tuberculosis would always account for less than 10% of all tuberculosis (Fig. 2, Fig. 3, Fig. 4 and Table 1). In scenario 5, the combination of system change, new treatment regimen and new technology for drug-susceptible tuberculosis and optimized MDR tuberculosis care would yield the greatest reductions in tuberculosis incidence and mortality of 18.2% (95% CrI: 15.5 to 22.5%;) and 27.9% (95% CrI: 22.2 to 36.0%), respectively, in the decade beginning in 2015 (Table 1).

Multidrug-resistant tuberculosis

Under scenario 1, the absolute prevalence of MDR tuberculosis in the general population would be expected to decline over time – e.g. by 20.3% (95% CrI: 5.8 to 27.8%) by 2025 (Fig. 5). This decline would be mainly driven by the overall general decline in tuberculosis prevalence (Fig. 2) since the proportion of MDR tuberculosis would remain largely unchanged (Fig. 6). Improvement in the treatment outcomes for drug-susceptible tuberculosis and provision of diagnosis and treatment for MDR tuberculosis would further decrease the prevalence of MDR tuberculosis in the general population. In Scenario 5, the combination of system change, new treatment regimen and new technology would bring the greatest reduction in MDR tuberculosis prevalence in the general population of any of the modelled scenarios: a 74.6% (95% CrI: 62.6 to 80.8%) reduction between 2015 and 2025.
Fig. 5

Projected impact of different scenarios of tuberculosis control on the prevalence of multidrug-resistant tuberculosis in the general population, China, 2015–2025

Fig. 6

Projected impact of different scenarios of tuberculosis control on multidrug resistance among patients with tuberculosis, China, 2015–2025

Projected impact of different scenarios of tuberculosis control on the prevalence of multidrug-resistant tuberculosis in the general population, China, 2015–2025 Note: The scenarios are as follows: 1: status quo; 2: shift from CCDC to hospital; 3A: all treated in CCDC; 3B: improved treatment of DS-TB; 4A: current best MDR-TB program; 4B: optimized MDR-TB program; 5: combined intervention. CCDC: Chinese Center for Disease Control and Prevention; DS-TB: drug-susceptible tuberculosis; MDR-TB: multidrug-resistant tuberculosis. Projected impact of different scenarios of tuberculosis control on multidrug resistance among patients with tuberculosis, China, 2015–2025 Note: The scenarios are as follows: 1: status quo; 2: shift from CCDC to hospital; 3A: all treated in CCDC; 3B: improved treatment of DS-TB; 4A: current best MDR-TB program; 4B: optimized MDR-TB program; 5: combined intervention. CCDC: Chinese Center for Disease Control and Prevention; DS-TB: drug-susceptible tuberculosis; MDR-TB: multidrug-resistant tuberculosis.

Policy implications

Post-2015 targets

The key finding from this analysis is that it is probably not possible for China to achieve the current global targets set for tuberculosis control. By 2010, however, China had already achieved the older global targets – of halving the prevalence and mortality of tuberculosis between 1990 and 2015., This achievement was mostly driven by shifting the treatment of tuberculosis from hospitals to the Chinese CDC public health centres. Our analysis suggests that the pace of reduction in tuberculosis incidence and mortality will be much slower in the future. In the most optimistic of our scenarios (scenario 5) the incidence and mortality of tuberculosis would only be reduced by about 18% and 28%, respectively, between 2015 and 2025. This indicates that, with passive surveillance, current targets will not be reached by 2025 even if all the changes and interventions considered in our analysis were implemented. Active and enhanced surveillance might further accelerate the overall declines seen in tuberculosis, although the individual and community-level benefits are not clear. Looking beyond 2025, the global tuberculosis targets for 2035 – a 90% reduction in incidence and 95% reduction in mortality compared with the values seen in 2015 – appear even less attainable than the current, post-2015 targets. A new vaccine and/or prophylactic treatment to reduce the risk of the development of active disease developing among people with latent infection may well be needed to reach the 2035 targets.,

Control of multidrug-resistant tuberculosis

The results of the 2007 National Survey of Tuberculosis Drug Resistance in China indicated a high proportion of MDR tuberculosis. There is no evidence from the 2010 survey of tuberculosis prevalence or the opinions of national tuberculosis experts to indicate that this proportion has since decreased. While attempting to integrate all of the available sources of relevant information, our analysis indicates that, under the status quo, this proportion will not change much by 2025 – although the absolute prevalence of MDR tuberculosis in the general population will decline as the overall prevalence of tuberculosis continues to fall. Further reductions in the prevalence of MDR tuberculosis in the general population might be achieved by improving treatment of drug-susceptible tuberculosis – thereby reducing the prevalence of tuberculosis and preventing the emergence of acquired resistance – or by providing MDR tuberculosis diagnosis and treatment and thereby reducing the transmission of MDR tuberculosis. Our analysis indicates that either of these interventions could accelerate the reduction of MDR tuberculosis prevalence in China and that the combination of both interventions would achieve the greatest impact: an estimated decline of 75% over the decade beginning in 2015.

Model limitations

It is important to acknowledge the limitations of the modelling when interpreting the projected results. As with other modelling studies, the results of this analysis are sensitive to the parameter values and model structure. For example, we could not identify reliable information, from China, on the treatment outcomes of MDR tuberculosis using the first-line regimen or tuberculosis treated in the hospital system. For these variables, we used estimates of the national experts after they had reviewed the limited relevant data. Modelling provides an approach to make such estimates and assumptions explicit and to explore, using uncertainty analysis, the influence of assumptions and parameter uncertainty on the major findings. In our uncertainty analysis, we found that our qualitative conclusions were not affected by the uncertainty in most parameter values (available from the corresponding author).

Impact on policy

China’s National Health and Family Planning Commission – formerly the Ministry of Health – is in the process of setting new, national, post-2015 tuberculosis-control targets and determining the next five-year plan for tuberculosis control, which will cover the period 2016 to 2020. The Chinese CDC is the main technical agency supporting this work. Our modelling analysis has provided the Chinese CDC with several important inputs for this process of policy development. First, it is clear that China cannot simply adopt the global post-2015 tuberculosis-control targets. The tuberculosis incidence and mortality targets for China will have to be more modest, partly because China has already greatly reduced its tuberculosis burden since 1990. Second, our analysis indicates that it should be possible to achieve a substantial reduction in the epidemic of MDR tuberculosis by improving the treatment of both drug-susceptible and MDR tuberculosis. Finally, our analysis indicates the importance of ensuring the high quality of tuberculosis treatment as patient care shifts from the Chinese CDC system to the hospital system.

Conclusion

With new government policies, treatment of tuberculosis patients is being shifted from the Chinese CDC to designated hospitals. There is a risk that the treatment outcome in these designated hospitals will not achieve the level observed in the Chinese CDC system. If this is the case, the shift will have a negative impact on tuberculosis control. Our result highlights the importance of ensuring high treatment quality as the new policy to shift patients is implemented. In the planning of post-2015 tuberculosis control in China, a rational process of policy development that is tailored to the country-specific context will be important. In this process, modelling could be used to integrate the different sources of relevant information and take account of any data uncertainty. A team of policy and field experts and modellers can facilitate the translation of modelling results into policy and practice. The approach that we followed may be useful in other settings and for other diseases.
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