Journal List > J Korean Med Sci > v.38(21) > 1516082777

Park, Kwon, Kim, Kwon, Nam, Min, Oh, Bea, and Choi: Cost-Effectiveness of All-Oral Regimens for the Treatment of Multidrug-Resistant Tuberculosis in Korea: Comparison With Conventional Injectable-Containing Regimens

Abstract

Background

Regimens for the treatment of multidrug-resistant tuberculosis (MDR-TB) have been changed from injectable-containing regimens to all-oral regimens. The economic effectiveness of new all-oral regimens compared with conventional injectable-containing regimens was scarcely evaluated. This study was conducted to compare the cost-effectiveness between all-oral longer-course regimens (the oral regimen group) and conventional injectable-containing regimens (the control group) to treat newly diagnosed MDR-TB patients.

Methods

A health economic analysis over lifetime horizon (20 years) from the perspective of the healthcare system in Korea was conducted. We developed a combined simulation model of a decision tree model (initial two years) and two Markov models (remaining 18 years, six-month cycle length) to calculate the incremental cost-effectiveness ratio (ICER) between the two groups. The transition probabilities and cost in each cycle were assumed based on the published data and the analysis of health big data that combined country-level claims data and TB registry in 2013–2018.

Results

The oral regimen group was assumed to spend 20,778 USD more and lived 1.093 years or 1.056 quality-adjusted life year (QALY) longer than the control group. The ICER of the base case was calculated to be 19,007 USD/life year gained and 19,674 USD/QALY. The results of sensitivity analyses showed that base case results were very robust and stable, and the oral regimen was cost-effective with a 100% probability for a willingness to pay more than 21,250 USD/QALY.

Conclusion

This study confirmed that the new all-oral longer regimens for the treatment of MDR-TB were cost-effective in replacing conventional injectable-containing regimens.

Graphical Abstract

jkms-38-e167-abf001.jpg

INTRODUCTION

In 2020, 157,903 new patients with drug-resistant tuberculosis (TB) were diagnosed worldwide, and 150,359 enrolled in treatment, down 22% and 15%, respectively, from 2019.1 This is related to the decrease in TB diagnosis and treatment due to restrictions on patients’ access to medical services in the coronavirus pandemic. Although the number of new patients decreased, in 2020, the deaths from TB increased by 5.6% compared with 2019, and the treatment target for patients with drug-resistant TB in 2018–2022 was far behind at 32%.1 The number of patients with TB, including drug-resistant TB, is expected to increase from 2021. The World Health Organization (WHO) is desperately trying to normalize TB case detection and treatment to achieve its original goals in the next few years.12 In Korea, multidrug-resistant tuberculosis (MDR-TB) showed a decreasing trend of 787, 852, 681, 618, 580, 399, and 371 new patients from 2015 to 2021, and it was estimated that the rapid decrease over the past two years was affected by the pandemic like the global trend.345
For MDR-TB treatment, the WHO recommends all-oral regimens, which consists of only oral drugs, including new drugs, instead of injectables that have more side effects and are inconvenient to use than oral drugs.12 The study, which underlined the revision of WHO recommendations, meta-analysed the data of 12,030 individual patients with MDR-TB included in 50 cohort studies published from January 2009 to April 2016 to analyse the effects of individual drugs associated with treatment outcomes. In this meta-analysis, the drugs that contributed to treatment success and mortality reduction were linezolid, levofloxacin, moxifloxacin, and bedaquiline. In contrast, clofazimine and carbapenem, classified as key drugs, only showed moderate benefits, and kanamycin and capreomycin were associated with poor prognosis.6
In the new all-oral regimens recommended by the WHO, bedaquiline and linezolid are core agents,7891011 and injectables, which had long been classified as core drugs, were excluded from the new regimens. Currently, 90 countries have adopted all-oral longer regimens, and 65 countries use all-oral shorter regimens.12 Many countries have accepted clinical outcomes related to the effectiveness and safety of all-oral regimens, but the high cost of new oral drugs is a barrier to adopting all-oral regimens under the national health insurance benefits, especially in countries with a significant burden for MDR-TB. Although the addition of bedaquiline to background regimen (conventional injectable-containing regimen) was evaluated as cost-effective compared with the background regimen, the health economics of the new all-oral longer regimens and conventional injectable-containing regimens has rarely been evaluated.12131415
Korea has also updated its MDR-TB treatment guideline to all-oral longer regimens from injectable-containing regimens in accordance with the WHO in 2020 and recommends that all-oral shorter regiments be used selectively only under appropriate patient selection conditions.16 Bedaquiline was approved in Korea in 2014 and has been reimbursed by the government since August 2016 if used to treat MDR-TB patients who cannot be treated with conventional TB drugs. The eligible patients for bedaquiline have been expanded from limited MDR-TB patients who could not be treated with conventional drugs to all MDR-TB patients according to the revision of the TB treatment guidelines and health insurance benefit criteria. The cost-effectiveness of the all-oral regimens in newly expanded patients has not been evaluated in Korea. Thus, this study aimed to evaluate the cost-effectiveness of the all-oral longer regimens compared with the conventional injectable-containing regimens in newly diagnosed MDR-TB patients.

METHODS

Analysis source, target population, and comparators

The analysis source to define the target population and cost data was health big data of Korea, which is combined data of insurance benefits and health examination data from national health insurance sharing service, TB registry data of Korea disease control and prevention agency, and medical claims from the health insurance and review and assessment service (Supplementary Fig. 1). Target patients were newly diagnosed MDR-TB patients in Korea, and the demographic and clinical characteristics were assumed based on the analysis results of health big data of Korea. The average age and proportion of male patients were assumed as 46.99 ± 16.78 years old and 66.75% (Supplementary Table 1). The cost-effectiveness was compared between the two groups: a control group treated with the conventional regimens including injectables without new oral drugs and an oral regimen group treated with all-oral longer-course regimes containing bedaquiline without injectables. (Supplementary Table 2).

Analysis method and settings

Since the progression of TB significantly impacts patients’ physical and mental health-related quality of life, a cost-utility analysis was performed by selecting quality-adjusted life years (QALYs) as an evaluation index. Analysis was conducted from the perspective of the healthcare system in Korea over 20 years of time horizon. The future effectiveness and cost were discounted at 4.5% per year.

Analysis model and health status definition

A combined analysis model using a decision tree model during the initial two years and two Markov models during the remaining period was used to assume QALY and cost in each treatment group (Fig. 1). The cycle length for the Markov models was set as six months.
Fig. 1

Analysis model.

MDR-TB = multidrug-resistant tuberculosis, F/U = follow-up, Tx = treatment.
jkms-38-e167-g001
The model contains the following health statuses: 1) Success, the duration of drug discontinuation is shorter than two months after the onset of MDR-TB treatment or 24 months of treatment has been completed. The patient will remain in the state if MDR-TB does not recur; 2) Lost follow-up (F/U), treatment drug discontinuation period is longer than two months, and treatment was not followed after; 3) Relapse, treatment drug discontinuation period is longer than two months, and secondary treatment was followed after the discontinuation; 4) Survival of success, survival of treatment success patients after five years; 5) Survival of failure, survival of relapse or lost F/U patients after five years; and 6) Death.

Transition probability

Based on Korean health big data analysis results, the transition probabilities to success, lost F/U, relapse, and death status were assumed to be 63.3%, 14.7%, 19.9%, and 2.2%, respectively, at the end of two years in the control group. The probabilities in the oral regimen group were assumed to be 77.5%, 9.2%, 12.4%, and 0.9% for the success status, lost F/U, relapse, and death using the control group’s results and the adjusted odds ratio (OR) of literature results. The adjusted OR for treatment success and death in the bedaquiline used group versus un-used groups were 2.0 (95% confidence interval [CI], 1.4–2.9) and 0.4 (95% CI, 0.3–0.5) (Table 1, Supplementary Table 3).6 We adopted adjusted ORs for bedaquiline used and un-used groups from the literature6 which were estimated by using generalized logistic mixed effects model with resistance to fluoroquinolones or second-line injectable drugs as covariates after propensity score matching based on individual-level covariates such as sex, age, acid-fast bacilli smear results, human immunodeficiency virus co-infection, cavitation on chest radiographs, history of tuberculosis treatment with first-line or second-line tuberculosis drugs, and number of possibly effective drugs in the initial phase.
Table 1

Transition probabilities

jkms-38-e167-i001
Model (time) Analysis cycle Applied group Health status Transition probability Source
From To
Decision tree (0–2 years) 2 years Control Initial Tx Success 0.633 Health big data analysis and published data6 (Supplementary Table 3)
Initial Tx Lost F/U 0.147
Initial Tx Relapse 0.199
Initial Tx Death 0.022
All-oral regimen Initial Tx Success 0.775
Initial Tx Lost F/U 0.092
Initial Tx Relapse 0.124
Initial Tx Death 0.009
Markov (2–5 years) 6 months Control and all-oral regimen Relapse Lost F/U 0.4828 Health big data analysis
Relapse Success 0.1644
Relapse Relapse 0.3528
Success Relapse 0.0492
Success Success 0.9508
Markov (2–5 years) 6 months Control Overall Death 0.0017 Health big data analysis and published data6
All-oral regimen Overall Death 0.00075
Markov (6–20 years) 6 months Control and all-oral regimen Relapse Death 0.0440 Health big data analysis
Lost F/U Death 0.1959
Success Death Mortality of general people KOSIS, complete life table
F/U = follow-up, KOSIS = Korean Statistical Information Service, Tx = treatment.
The probabilities for the Markov model were assumed, as shown in Table 1, based on data from health big data analysis, literature, and Korean statistical information service. The same transition probabilities were applied to both groups except for the probability of overall death, which applied the OR of 0.4 to the oral regimen group during 3–5 years. The mortality after 5-year survival was assumed based on general population mortality for success status and health big data analysis for lost F/U and relapse status.

Cost and utilities

The cost for each health status was assumed based on the health big data analysis. The cost included all direct medical expenses incurred within the healthcare system (such as medication cost, preparation and administration cost, follow-up treatment, patient monitoring, adverse reaction treatment, end-of-life costs, and etc.), and transportation costs, time costs, home-nursing costs and productivity loss costs were not included. All the costs were converted to 2021 price and USD using the consumer price index in the health sector and the exchange rate of 1,200 Korean Won per 1 USD. The initial treatment cost in the oral regimen group included the cost of bedaquiline (22,823 USD per person), which was assumed to administer 400 mg daily for the initial two weeks and 200 mg daily three times a week for 22 weeks, with the unit price of 121.4 USD/100 mg. The cost of linezolid was included in the sensitivity analysis and assumed to be 3,473 USD per person with the administration of 450 mg daily for 180 days. The costs of injectables and administration of drugs were analysed as 1,017 USD per person based on health big data analysis, and the costs were excluded from the initial treatment cost in the all-oral regimen group (Table 2). The utilities for health-related quality of life were assumed as 0.51 for MDR-TB status (on treatment, lost follow-up, relapse) and 0.88 for success status after treatment completion based on literature data.17
Table 2

Cost assumptions

jkms-38-e167-i002
Status Total cost (USD)a Mean Tx duration
Decision tree model (during 0–2 yr)
Initial Tx 599/mon 2 yr
Lost F/U 3,671/mon 10.7 mon
Death 1,584/mon 22.4 mon
Injectable drug cost 1,017/person Not applicableb
Bedaquiline drug cost 22,823/person Not applicableb
Linezolid drug cost 3,473/person Not applicableb
Ototoxicity Tx in the control group 140/case Not applicableb
Markov model (after 2 yr)
Relapse Tx 635/mon 6 mon
Lost F/U 1,065/mon 3 mon
Death 13,874/mon Not applicableb
F/U = follow-up, Tx = treatment.
aData source: Korean health big data analysis, exchange rate: 1,200 Korean Won/USD
bPer person and per case costs were adopted once.

Sensitivity analysis

Deterministic sensitivity analyses were performed on major variables of effect, cost, and settings. A total of 1,000 iterations were performed for probabilistic sensitivity analysis by applying beta distribution for variables of transition probabilities and utility weights, normal distribution for outcome OR, and gamma distribution for cost variables.

Ethics statement

This study was approved by the Institutional Review Board of Sungkyunkwan University (approval No. SKKU 2019-10-030-002). This study used anonymized data and patients were not directly involved in the entire research process, therefore the need for informed consent was waived.

RESULTS

Cost-effectiveness of base case results

The effectiveness outcomes were 1.093 life years (LYs) and 1.056 QALY longer, and total treatment costs were 20,778 USD more in the all-oral regimen group compared with the control group. Thus, the incremental cost-effectiveness ratio (ICER) was calculated as 19,007 USD/LY and 19,674 USD/QALY (Table 3, Supplementary Table 4).
Table 3

Results of base case analysis and deterministic sensitivity analysis

jkms-38-e167-i003
Setting Comparator Total QALY Total cost (USD)a △QALY △Cost ICER (USD/QALY)
Base-case analysis
Base All-oral 7.770 47,390 1.056 20,778 19,674
Control 6.714 26,612
Deterministic sensitivity analysis (one-way sensitivity analysis)
Outcome OR
Death OR: 0.3 All-oral 7.845 47,484 1.132 20,872 18,446
Control 6.714 26,612
Death OR: 0.5 All-oral 7.692 47,295 0.978 20,684 21,143
Control 6.714 26,612
Success OR: 1.4 All-oral 7.440 48,148 0.727 21,536 29,643
Control 6.714 26,612
Success OR: 2.9 All-oral 8.049 46,749 1.335 20,137 15,083
Control 6.714 26,612
Mortality after 5 years
Mortality for relapse/Lost: 0.03 All-oral 8.411 44,026 0.921 22,091 23,973
Control 7.490 21,935
Mortality for relapse/Lost: -10% All-oral 7.802 47,153 1.052 20,919 19,894
Control 6.750 26,234
Mortality for relapse/Lost: +10% All-oral 7.742 47,627 1.060 20,641 19,475
Control 6.682 26,986
Utility
+10% from base All-oral 8.547 47,390 1.162 20,778 17,886
Control 7.385 26,612
-10% from base All-oral 6.993 47,390 0.951 20,778 21,860
Control 6.042 26,612
Cost
Bedaquiline cost: 10% up All-oral 7.770 49,672 1.056 23,061 21,835
Control 6.714 26,612
Bedaquiline cost: 10% down All-oral 7.770 45,108 1.056 18,496 17,513
Control 6.714 26,612
Add linezolid cost All-oral 7.770 50,863 1.056 24,252 22,963
Control 6.714 26,612
Injectable drug cost: 10% up All-oral 7.770 47,289 1.056 20,677 19,578
Control 6.714 26,612
Injectable drug cost: 10% down All-oral 7.770 47,492 1.056 20,880 19,771
Control 6.714 26,612
First Tx cost: 20% up All-oral 7.770 49,902 1.056 21,244 20,115
Control 6.714 28,658
First Tx cost: 20% down All-oral 7.770 44,878 1.056 20,313 19,233
Control 6.714 24,565
Relapse Tx cost: 20% up All-oral 7.770 48,457 1.056 20,649 19,554
Control 6.714 27,808
Relapse Tx cost: 20% down All-oral 7.770 46,324 1.056 20,908 19,797
Control 6.714 25,415
Death cost: no incorporation All-oral 7.770 41,184 1.056 22,754 21,545
Control 6.714 18,429
Discount rate
0% All-oral 11.625 52,243 1.738 20,687 11,906
Control 9.887 31,556
3% All-oral 8.813 48,829 1.237 20,742 16,764
Control 7.575 28,086
6% All-oral 6.903 46,094 0.908 20,817 22,926
Control 5.995 25,276
Time horizon
10 yr All-oral 5.034 46,620 0.513 20,649 40,257
Control 4.521 25,972
15 yr All-oral 6.586 47,155 0.818 20,729 25,352
Control 5.769 26,426
25 yr All-oral 8.670 47,547 1.238 20,813 16,812
Control 7.432 26,735
Starting age
40 All-oral 7.821 47,390 1.067 20,778 19,482
Control 6.755 26,612
60 All-oral 7.523 47,390 1.006 20,778 20,649
Control 6.517 26,612
Proportion of male
0% All-oral 7.836 47,390 1.069 20,778 19,430
Control 6.766 26,612
100% All-oral 7.738 47,390 1.050 20,778 19,796
Control 6.688 26,612
Perspective
Social (including productivity loss) All-oral 7.770 579,713 1.056 235,830 Dominant
Control 6.714 815,543
F/U = follow-up, ICER = incremental cost-effectiveness ratio, QALY = quality-adjusted life year, OR = odds ratio, Tx = treatment.
aExchange rate: 1,200 Korean Won/USD.

Deterministic sensitivity analysis results

The assumption for success OR between the groups affected ICER results mostly among the variables for effectiveness. The ICER increased to 29,643 USD/QALY when the OR was changed to 1.4 from 2.0. Overall, the change in cost variables had little effect on the ICERs. For the analysis of setting variables, the lower the discount rate, the lower the ICER, and the shorter the time horizon, the higher the ICER. In the sensitivity analysis with a social perspective which included productivity loss, the cost of the oral regimen group was 235,830 USD lower than that of the control group, indicating that the oral regimen group dominated the control group (Table 3, Supplementary Fig. 2).

Probabilistic sensitivity analysis results

The mean ICER of 1,000 iterations of probabilistic analysis was 19,697 USD/QALY (standard deviation, 515) and the cost and QALY differences of all-oral regimens compared with injectable-containing regimens were shown in the cost-effectiveness plane (Supplementary Fig. 3). The cost-effectiveness of the oral regimen showed a 100% probability when the willingness to pay was above 21,250 USD/QALY (Fig. 2).
Fig. 2

Cost-acceptability curve.

QALY = quality-adjusted life year.
jkms-38-e167-g002

DISCUSSION

This study compared the cost-effectiveness of the oral regimen group and the control group (conventional injectable-containing regimens) for the treatment of MDR-TB. The results of this study showed that the ICER of the oral regimen group was 19,697 USD/QALY on average under the setting of Korean healthcare system and a 100% probability of being cost-effective if the willingness to pay threshold is above 21,250 USD.
In the base analysis, the treatment outcome of target patients was better in the oral regimen group than in the control group, as previous cost-effectiveness studies showed.13141518 The oral regimen group was analysed to live about one QALY or one year longer than the control group. The difference in the effectiveness of both groups was most affected by the treatment success rate of the initial two years. Therefore, assuming the probability of treatment success properly in the decision model is critical to estimate the effectiveness outcomes. The probability of treatment success during the initial two years in the control group was 63.3%, which was analysed based on the population-based health big data in Korea between 2013 and 2018, so the result can be considered very valid. The probability was also similar to the published study results. In a study by Lee et al.19 involving 5,192 MDR patients diagnosed in 2011–2014, the treatment success rate was reported as 65.7%, which was consistent with this study. However, the definition of treatment success in a clinical sense may differ from this study. While this study’s definition was the completion of treatment medications for 24 months, including discontinuation of medications less than two months, the WHO defined it as follows; Cured: at least three consecutive culture tests negative every 30 days after the intensive care period. Treatment completed: the sputum smear or culture results do not meet the definition of a cure, but the treatment is completed without evidence of failure.20 However, since treatment success includes cured and treatment completed, this study’s definition of treatment success was assumed to be highly consistent with clinical treatment success.
The treatment outcomes of the control were assumed based on the analysis of real-world data, but the outcomes of the oral regimen group were assumed based on literature data on top of the results of the control group. Using the OR of treatment success according to bedaquiline administration based on a published study,6 the probability of treatment success during the initial two years was derived as 77.5% in the oral regimen group. The probability was consistent with a previously published study’s results on Korean MDR-TB patients. The treatment success rate was reported to be 79.2% if newly diagnosed MDR-TB patients in 2016–2018 were treated with new oral drugs-containing regimens.21 Meanwhile, the treatment effect and cost of delamanid were not considered in the base case. This is because bedaquiline is selected first in most patients in Korea, and if bedaquiline is not used, a delamanid prescription is allowed only if it is used to replace bedaquiline under the health insurance benefit criteria. Including bedaquiline replacement by delamanid, the base case analysis results will not change significantly considering that delamanid is not expected to affect the overall treatment outcomes, and the drug cost of delamanid (assumed 23,880 USD for the 6-month course) is similar to the cost of bedaquiline.2122
The treatment outcomes of the oral regimen group were assumed to be slightly conservative in the following two points; First, the treatment success rate seems to be further improving recently as the use of bedaquiline has been expanded to all MDR-TB patients from limited MDR-TB patients after the change in the 2020 Korean TB treatment guidelines and health insurance benefit criteria. Individualized treatment therapy has been implemented according to the recommendations of the National TB expert review committee. Second, the patient’s treatment compliance is expected to increase further if the all-oral regimens are used. As the patient’s compliance increases, the treatment success rate will increase further, and the rate of treatment failure due to lost F/U and death will decrease relatively.23
In addition to the OR of treatment success, the effectiveness variables affecting ICER results were the mortality rates of relapse and lost F/U. The ICER increased by about 20% more than the base case when applying the mortality rates based on the results of the literature data.24 However, the literature mainly dealt with TB patients rather than MDR-TB patients, and this study’s source data were updated compared with the published literature. Hence, the analysis results based on the literature data were presented only as sensitivity analysis. All other variables on effectiveness have an effect within 10% on the ICER of the base case, and the range of incremental QALY in the probabilistic analysis results was not wide; therefore, the validity of estimating the overall treatment outcomes is evaluated as high.
The control group’s cost estimation meant that all the treatment costs applied in the health insurance system were captured based on real-world data analysis. Considering that the national health insurance scheme covers most of the costs associated with MDR-TB treatment, it is estimated that the treatment cost assumed in this study will be very close to the actual cost of treatment. In contrast, the cost assumption of the oral regimen group was approached quite conservatively. Although there were cost-savings in the bedaquiline group by reducing the hospitalization days due to advancing sputum conversion days in the previous economic evaluation study on bedaquiline,1218 cost-savings due to reduced hospitalization were not included in this study. The length of the treatment regimen was assumed as a long course for all the patients in the cost assumptions, and the treatment period significantly affected the overall treatment costs.25 Currently, some patients are treated with shorter course regimen, so reflecting these clinical realities, the actual cost-effectiveness will be further improved. In the previous economic evaluation studies,12131415 some studies showed cost-saving results in the oral regimen group containing bedaquiline. However, this study estimated that the total cost was higher in the oral regimen group. The difference seems to be due to the differences in the healthcare system and medical service costs in each country and the analytic perspective of each study. The base case analysis did not reflect transportation costs, time cost, and productivity loss. When all of them were reflected, the cost-saving results were derived in the same way as other studies.13 Ultimately, the main difference in cost estimation in both groups was the cost of treatment for the first two years. The cost of bedaquiline accounted for most of the difference, and the lower death cost in the bedaquiline group reduced the cost difference between the two groups.
The limitations of this study were as follows. First, the effectiveness outcomes and cost of each health status were assumed using Korean health big data, which might differ from the definition of clinical health status. However, the definition of health status was consistently applied in both comparator groups, and the costs of the oral regimen group were estimated conservatively. The effect of these limitations on ICER is not expected to be critical. Second, the effectiveness outcome of the oral regimen group was not directly measured but assumed based on published data. Therefore, there will be a difference in the real effectiveness outcomes of current all-oral regimens. The concomitant use of linezolid in the oral regimen group has increased compared with the control group,26 but the effect of linezolid was not reflected in the estimation of effectiveness outcomes. We performed a sensitivity analysis on the concomitant use of linezolid with bedaquiline. The ICER was calculated by reflecting only the increased cost of linezolid without adjusting effectiveness outcomes from the base case because no appropriate reference was available to assume the effect of concomitant use of linezolid with bedaquiline. The ICER increase in the sensitivity analysis was not significant; thus, it is estimated that the concomitant use of bedaquiline and linezolid would also be cost-effective. However, after adopting a strategy to use all-oral drugs to treat MDR-TB, the treatment outcomes have not yet been evaluated, and a more accurate evaluation will be needed through future research. Third, the utility values of quality of life by health status will be different from the value of Koreans. The only study on the utility value of MDR-TB patients was published in Thailand. Since the quality of life of TB patients showed very variable results depending on the country of measurement and the measurement tools,1727 further studies on the quality of life of MDR-TB patients need to be conducted in the future.
In conclusion, an all-oral regimen is a cost-effective option in treating MDR-TB patients compared with injectable-containing regimens. It will contribute to patients’ return to society in a shorter time, and it is expected to be a cost-saving choice by compensating for productivity losses. Therefore, implementing WHO’s new guidelines on all-oral regimens needs to be further promoted to end TB.

Notes

Funding: This work was supported by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HI19C1233) and the National Research Foundation of Korea (NRF) grant funded by the Ministry of Science and ICT of Korean government (grant number: NRF-2022R1A2C1004822).

Disclosure: The authors have no potential conflicts of interests to disclose.

Author Contributions:

  • Conceptualization: Park HY, Kwon JW, Choi SH.

  • Methodology: Park HY, Kwon JW.

  • Data curation: Park HY, Kwon JY, Kim HL, Kwon SH, Nam JH, Min SR, Oh IS, Bea S.

  • Formal analysis: Park HY, Kwon JY, Kim HL, Kwon SH, Nam JH, Min SR, Oh IS, Bea S.

  • Funding acquisition: Kwon JW.

  • Supervision: Kwon JW, Choi SH.

  • Writing - original draft: Park HY, Choi SH.

  • Writing - review & editing: Park HY, Kwon JW, Kim HL, Kwon SH, Nam JH, Min SR, Oh IS, Bea S, Choi SH.

References

1. World Health Organization. Global tuberculosis report 2021. Accessed in March 28, 2022. https://www.who.int/teams/global-tuberculosis-programme/tb-reports/globaltuberculosis-report-2021 .
2. World Health Organization. WHO consolidated guidelines on tuberculosis. Module 4: Treatment – drug-resistant tuberculosis treatment. Updated 2021. Accessed March 28, 2022. https://www.who.int/publications/i/item/9789240007048 .
3. Korea Disease Control and Prevention Agency. Infectious disease portal, 2021. Tuberculosis notification annual report. Accessed March 28, 2022. https://www.kdca.go.kr/npt/biz/npp/portal/nppPblctDtaView.do?pblctDtaSeAt=1&pblctDtaSn=2333 .
4. Cho KS. Tuberculosis control in the Republic of Korea. Epidemiol Health. 2018; 40:e2018036. PMID: 30081621.
5. Kwak N, Hwang SS, Yim JJ. Effect of COVID-19 on tuberculosis notification, South Korea. Emerg Infect Dis. 2020; 26(10):2506–2508. PMID: 32672531.
6. Collaborative Group for the Meta-Analysis of Individual Patient Data in MDR-TB treatment–2017. Ahmad N, Ahuja SD, Akkerman OW, Alffenaar JC, Anderson LF, et al. Treatment correlates of successful outcomes in pulmonary multidrug-resistant tuberculosis: an individual patient data meta-analysis. Lancet. 2018; 392(10150):821–834. PMID: 30215381.
7. Diacon AH, Pym A, Grobusch MP, de los Rios JM, Gotuzzo E, Vasilyeva I, et al. Multidrug-resistant tuberculosis and culture conversion with bedaquiline. N Engl J Med. 2014; 371(8):723–732. PMID: 25140958.
8. Borisov SE, Dheda K, Enwerem M, Romero Leyet R, D’Ambrosio L, Centis R, et al. Effectiveness and safety of bedaquiline-containing regimens in the treatment of MDR- and XDR-TB: a multicentre study. Eur Respir J. 2017; 49(5):1700387. PMID: 28529205.
9. Guglielmetti L, Jaspard M, Le Dû D, Lachâtre M, Marigot-Outtandy D, Bernard C, et al. Long-term outcome and safety of prolonged bedaquiline treatment for multidrug-resistant tuberculosis. Eur Respir J. 2017; 49(3):1601799. PMID: 28182570.
10. Tack I, Dumicho A, Ohler L, Shigayeva A, Bulti AB, White K, et al. Safety and effectiveness of an all-oral, bedaquiline-based, shorter treatment regimen for rifampicin-resistant tuberculosis in high human immunodeficiency virus (HIV) burden rural South Africa: a retrospective cohort analysis. Clin Infect Dis. 2021; 73(9):e3563–e3571. PMID: 33372989.
11. Padayatchi N, Bionghi N, Osman F, Naidu N, Ndjeka N, Master I, et al. Treatment outcomes in patients with drug-resistant TB-HIV co-infection treated with bedaquiline and linezolid. Int J Tuberc Lung Dis. 2020; 24(10):1024–1031. PMID: 33126934.
12. Park HY, Ku HM, Sohn HS, Seo HS, Yung Lee H, Hwa Lim K, et al. Cost-effectiveness of bedaquiline for the treatment of multidrug-resistant tuberculosis in the Republic of Korea. Clin Ther. 2016; 38(3):655–667.e1-2. PMID: 26907504.
13. Mpobela Agnarson A, Williams A, Kambili C, Mattson G, Metz L. The cost-effectiveness of a bedaquiline-containing short-course regimen for the treatment of multidrug-resistant tuberculosis in South Africa. Expert Rev Anti Infect Ther. 2020; 18(5):475–483. PMID: 32186925.
14. Ionescu AM, Mpobela Agnarson A, Kambili C, Metz L, Kfoury J, Wang S, et al. Bedaquiline- versus injectable-containing drug-resistant tuberculosis regimens: a cost-effectiveness analysis. Expert Rev Pharmacoecon Outcomes Res. 2018; 18(6):677–689. PMID: 30073886.
15. Gomez GB, Siapka M, Conradie F, Ndjeka N, Garfin AM, Lomtadze N, et al. Cost-effectiveness of bedaquiline, pretomanid and linezolid for treatment of extensively drug-resistant tuberculosis in South Africa, Georgia and the Philippines. BMJ Open. 2021; 11(12):e051521.
16. The Korean Academy of Tuberculosis and Respiratory Disease. Korea Disease Control and Prevention Agency. Guideline of Tuberculosis Management. 4th ed. Cheongju, Korea: Korea Disease Control and Prevention Agency;2020.
17. Kittikraisak W, Kingkaew P, Teerawattananon Y, Yothasamut J, Natesuwan S, Manosuthi W, et al. Health related quality of life among patients with tuberculosis and HIV in Thailand. PLoS One. 2012; 7(1):e29775. PMID: 22253777.
18. Agnarson AM, Wang XC, Potluri R, Bhandari H, Dhir A, Kambili C, et al. Long-term impact of the adoption of bedaquiline-containing regimens on the burden of drug-resistant tuberculosis in China. BMC Infect Dis. 2020; 20(1):113. PMID: 32041542.
19. Lee M, Han J, Kim YR, Kwak N, Kim JH, Park O, et al. Multidrug-resistant tuberculosis in South Korea: a retrospective analysis of national registry data in 2011-2015. Int J Tuberc Lung Dis. 2019; 23(7):850–857. PMID: 31439118.
20. World Health Organization. Definitions and reporting framework for tuberculosis – 2013 revision: updated December 2014 and January 2020. Accessed June 1, 2022. https://apps.who.int/iris/handle/10665/79199 .
21. Hwang H, Kang H, Kwon YS, Jeon D, Shim TS, Yim JJ. Outcomes of multidrug-resistant tuberculosis treated with bedaquiline or delamanid. Clin Infect Dis. 2021; 73(8):1362–1369. PMID: 33837767.
22. Lee HH, Jo KW, Yim JJ, Jeon D, Kang H, Shim TS. Interim treatment outcomes in multidrug-resistant tuberculosis patients treated sequentially with bedaquiline and delamanid. Int J Infect Dis. 2020; 98:478–485. PMID: 32640367.
23. Alipanah N, Jarlsberg L, Miller C, Linh NN, Falzon D, Jaramillo E, et al. Adherence interventions and outcomes of tuberculosis treatment: a systematic review and meta-analysis of trials and observational studies. PLoS Med. 2018; 15(7):e1002595. PMID: 29969463.
24. Tiemersma EW, van der Werf MJ, Borgdorff MW, Williams BG, Nagelkerke NJ. Natural history of tuberculosis: duration and fatality of untreated pulmonary tuberculosis in HIV negative patients: a systematic review. PLoS One. 2011; 6(4):e17601. PMID: 21483732.
25. Masuku SD, Berhanu R, Van Rensburg C, Ndjeka N, Rosen S, Long L, et al. Managing multidrug-resistant tuberculosis in South Africa: a budget impact analysis. Int J Tuberc Lung Dis. 2020; 24(4):376–382. PMID: 32317060.
26. Kwon YS, Jeon D, Kang H, Yim JJ, Shim TS. Concurrent use of bedaquiline and delamanid for the treatment of fluoroquinolone-resistant multidrug-resistant tuberculosis: a nationwide cohort study in South Korea. Eur Respir J. 2021; 57(3):2003026. PMID: 33093123.
27. Park HY, Cheon HB, Choi SH, Kwon JW. Health-related quality of life based on EQ-5D utility score in patients with tuberculosis: a systematic review. Front Pharmacol. 2021; 12:659675. PMID: 33935781.

SUPPLEMENTARY MATERIALS

Supplementary Table 1

Characteristics of target patientsa (n = 1,143)
jkms-38-e167-s001.doc

Supplementary Table 2

Medication list of intervention and comparator group
jkms-38-e167-s002.doc

Supplementary Table 3

Proportion of patients by event for the decision tree model
jkms-38-e167-s003.doc

Supplementary Table 4

Detailed results of base-case analysis
jkms-38-e167-s004.doc

Supplementary Fig. 1

Development of an analysis platform with health big data and selection of target patients.
jkms-38-e167-s005.doc

Supplementary Fig. 2

Results of deterministic sensitivity analyses.
jkms-38-e167-s006.doc

Supplementary Fig. 3

Cost-effectiveness plane. Assumption of exchange rate: 1,200 Korean Won/USD.
jkms-38-e167-s007.doc
TOOLS
Similar articles