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1.
J Infect Public Health ; 17(3): 478-485, 2024 Mar.
Article in English | MEDLINE | ID: mdl-38271751

ABSTRACT

BACKGROUND: Poor adherence to tuberculosis (TB) treatment is an obstacle to controlling the disease. The Korean government's national TB control plan includes a program on adherence to TB treatment to manage patients with TB. This study aimed to assess the cost-effectiveness of a national TB program for improving patient adherence. METHODS: A discrete event simulation (DES) model was developed to estimate the costs and quality-adjusted life-years (QALYs) of adherent and non-adherent patients. In this model, we considered treatment completion, loss to follow-up, recurrence, death, and treatment changes from drug-susceptible to multidrug-resistant TB as clinical events. We obtained input parameters such as costs, probability of events, and time distributions for each event from the Korean National Health Insurance claims data. We estimated the costs and QALYs before implementation of the program (adherence rate = 79%) and at present (current adherence rate = 94%). The incremental cost-effectiveness ratio (ICER) was used to evaluate whether the program was cost-effective given the willingness-to-pay threshold. RESULTS: In the simulation, the program increasing the proportion of adherent patients gained 0.018 QALY/patient while spending $162/patient. The ICER of the TB program was $8790/QALY. Given a willingness-to-pay threshold of $20,000, the national TB program was considered cost-effective. CONCLUSION: Improvements in adherence to TB treatment through the current TB program were cost-effective. The DES model accurately reflected the real world. Commitment programs to improve patient adherence may help manage TB nationwide.


Subject(s)
Tuberculosis, Multidrug-Resistant , Humans , Cost-Benefit Analysis , Tuberculosis, Multidrug-Resistant/drug therapy , Patient Compliance , Republic of Korea , Quality-Adjusted Life Years
2.
J Korean Med Sci ; 38(21): e167, 2023 May 29.
Article in English | MEDLINE | ID: mdl-37270920

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.


Subject(s)
Tuberculosis, Multidrug-Resistant , Humans , Cost-Benefit Analysis , Tuberculosis, Multidrug-Resistant/drug therapy , Clinical Protocols , Republic of Korea , Quality-Adjusted Life Years
3.
Vaccines (Basel) ; 11(5)2023 May 15.
Article in English | MEDLINE | ID: mdl-37243088

ABSTRACT

In South Korea, the ready-to-use hexavalent vaccine (against diphtheria, tetanus, pertussis, poliovirus, Haemophilus influenzae type b, and hepatitis B) is not listed despite its facility of no need to reconstitute. It, therefore, has the potential to augment the efficiency of prevention against the six infectious diseases, and it may reduce vaccine-related errors of reconstitution when compared with the currently used vaccination scheme of the pentavalent vaccine with the additional shots against hepatitis B. Given the assumed clinical equivalence between the two vaccination schemes, a cost-minimization analysis has been performed from a societal perspective including all the medical and non-medical direct and indirect costs when vaccinating one birth cohort. The results indicate that the ready-to-use hexavalent vaccine induces a cost reduction of KRW 47,155 (USD36.22) per infant or 12,026 million Korean Won ($9,236,417) in total for the whole birth cohort with 260,500 children. Using the ready-to-use hexavalent vaccine causes a lower infection rate, has fewer vaccination sessions, and may save much time as compared with the current vaccination scheme in place. The ready-to-use hexavalent vaccine may, therefore, benefit the National Immunization Program by reducing the total societal costs of vaccination while improving convenience of infants, parents, and medical care professionals.

4.
JAMA Ophthalmol ; 140(11): 1045-1053, 2022 11 01.
Article in English | MEDLINE | ID: mdl-36136323

ABSTRACT

Importance: A bayesian network meta-analysis (NMA) can help compare the various types of multifocal and monofocal intraocular lenses (IOLs) used in clinical practice. Objective: To compare outcomes of presbyopia-correcting IOLs frequently recommended in clinical practice through a bayesian NMA based on a systematic review. Data Sources: Medline (PubMed) and the Cochrane Central Register of Controlled Trials (CENTRAL) were searched on May 15, 2021, from inception. Study Selection: Based on the research question, randomized clinical trials assessing multifocal IOLs in patients who underwent bilateral cataract extraction were searched. Nonrandomized studies, studies in patients with unilateral or contralateral cataract extractions, duplicated studies, conference abstracts, and nonpeer-reviewed articles were excluded. Data Extraction and Synthesis: Descriptive statistics and outcomes were extracted. The NMA was conducted to compare different types of IOLs. The mean differences for continuous variables, odds ratios for binary variables, 95% credible intervals (CrIs), and ranks of interventions were estimated. Main Outcomes and Measures: The outcomes examined included binocular visual acuities by distance and optical quality, including glare, halos, and spectacle independence. Results: This NMA included 27 studies comprising 2605 patients. For uncorrected near visual acuity, trifocal IOLs (mean difference, -0.32 [95% CrI, -0.46 to -0.19]) and old bifocal diffractive IOLs (mean difference, -0.33 [95% CrI, -0.50 to -0.14]) afforded better visual acuity than monofocal IOLs. Regarding uncorrected intermediate visual acuity, extended depth-of-focus IOLs provided better visual acuity than monofocal IOLs. However, there were no differences between extended depth-of-focus and trifocal diffractive IOLs in pairwise comparisons. For uncorrected distant visual acuity, all multifocal IOLs were comparable with monofocal IOLs. There were no statistical differences between multifocal and monofocal IOLs regarding contrast sensitivity, glare, or halos. Conclusions and Relevance: For patients considering a multifocal IOL due to presbyopia, bilateral implantation of a trifocal IOL might be an optimal option for patients without compromising distant visual acuity.


Subject(s)
Cataract Extraction , Cataract , Lenses, Intraocular , Presbyopia , Humans , Presbyopia/surgery , Network Meta-Analysis , Bayes Theorem , Contrast Sensitivity
5.
Front Pharmacol ; 13: 906211, 2022.
Article in English | MEDLINE | ID: mdl-35784684

ABSTRACT

Background: Information on patient's death is a major outcome of health-related research, but it is not always available in claim-based databases. Herein, we suggested the operational definition of death as an optimal indicator of real death and aim to examine its validity and application in patients with cancer. Materials and methods: Data of newly diagnosed patients with cancer between 2006 and 2015 from the Korean National Health Insurance Service-National Sample Cohort data were used. Death indicators were operationally defined as follows: 1) in-hospital death (the result of treatment or disease diagnosis code from claims data), or 2) case wherein there are no claims within 365 days of the last claim. We estimated true-positive rates (TPR) and false-positive rates (FPR) for real death and operational definition of death in patients with high-, middle-, and low-mortality cancers. Kaplan-Meier survival curves and log-rank tests were conducted to determine whether real death and operational definition of death rates were consistent. Results: A total of 40,970 patients with cancer were recruited for this study. Among them, 12,604 patients were officially reported as dead. These patients were stratified into high- (lung, liver, and pancreatic), middle- (stomach, skin, and kidney), and low- (thyroid) mortality groups consisting of 6,626 (death: 4,287), 7,282 (1,858), and 6,316 (93) patients, respectively. The TPR was 97.08% and the FPR was 0.98% in the high mortality group. In the case of the middle and low mortality groups, the TPR (FPR) was 95.86% (1.77%) and 97.85% (0.58%), respectively. The overall TPR and FPR were 96.68 and 1.27%. There was no significant difference between the real and operational definition of death in the log-rank test for all types of cancers except for thyroid cancer. Conclusion: Defining deaths operationally using in-hospital death data and periods after the last claim is a robust alternative to identifying mortality in patients with cancer. This optimal indicator of death will promote research using claim-based data lacking death information.

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