Cost Effectiveness and Resource Allocation最新文献

Background: The morbidity and mortality of adult diseases caused by S. pneumoniae increase with age and presence of underlying chronic diseases. Currently, two vaccine technologies against S. pneumoniae are used: the 23-valent pneumococcal polysaccharide vaccine (PPV23) and the pneumococcal conjugate vaccines, one of which is the 20-valent pneumococcal conjugate vaccine (PCV20) that has recently been approved for adults.

Objective: This study was conducted to investigate the cost-effectiveness of implementing PCV20 in a reimbursement scheme for Norwegian adults aged 18-99 years at risk of pneumococcal diseases and those aged 65 years and older at low risk compared to PPV23.

Methods: An established Markov model was adapted to a Norwegian setting to estimate the economic and clinical consequences of vaccinating the Norwegian population in specific age and risk groups against pneumococcal diseases. Inputs for the model were found in Norwegian or Danish real-world evidence or retrieved from available studies. The costs and clinical outcomes were assessed using a health sector perspective and a lifetime time horizon.

Results: The results showed that PCV20 was associated with better health outcomes including fewer disease cases, fewer disease-attributable fatalities, a higher gain of life years and quality-adjusted life years compared to PPV23. In addition, PCV20 had a lower total cost compared to PPV23. Therefore, PCV20 was the dominant vaccination strategy. The base case result was investigated in multiple sensitivity analyses, which showed that the results were robust to changes in input parameters and methodological assumptions, as PCV20 remained the dominant vaccination strategy in almost all scenarios.

Conclusion: Results showed that vaccinating the Norwegian adults with PCV20 was cost-effective compared to PPV23. Changes in the hospital cost of pneumonia, the price of PCV 20, the effectiveness of PCV20 against pneumonia, and the pneumonia disease incidence had the highest impact on the ICER, i.e., were the main drivers of the results.

Background: INES (INteractive model for Extrapolation of Survival and cost) provides an open-access tool powered by R that implements three-state partitioned survival models (PSM). This article describes the properties of the tool, and the situations where INES may or may not be suitable.

Methods: INES is designed to be used by investigators or healthcare professionals who have a good grasp of the principles of economic evaluation and understand the strengths and weaknesses of partitioned survival models, but are not sufficiently familiar with a statistical package such as Excel or R to be able to construct and test a de-novo PSM themselves. INES is delivered to the user via a batch file. Once downloaded to the user's hard drive, it interacts with the user via a portable version of R with web interactivity built in Shiny. INES requires absolutely no knowledge of R and the user does not need to have R or any of its dependences installed. Hence the user will deal with a standalone Shiny app. Inputs (digitalized survival curves, unit costs, posology, hazard ratios, discount rate) can be uploaded from a template spreadsheet.

Results: The INES application provides a seamlessly integrated package for estimating a set of parametric hazard functions for progression free and overall survival, selecting an appropriate function from this menu, and applying this as an input to a PSM to calculate mean costs and quality-adjusted life years. Examples are given that may serve as a tutorial.

Conclusion: INES offers a rapid, flexible, robust and transparent tool for parametric survival analysis and calculating a PSM that can be used in many different contexts.

Background: Breast cancer-related lymphedema (BCRL) imposes a significant economic burden on patients, providers, and society. There is no curative therapy for BCRL, but management through self-care can reduce symptoms and lower the risk of adverse events.

Main body: The economic burden of BCRL stems from related adverse events, reductions in productivity and employment, and the burden placed on non-medical caregivers. Self-care regimens often include manual lymphatic drainage, compression garments, and meticulous skin care, and may incorporate pneumatic compression devices. These regimens can be effective in managing BCRL, but patients cite inconvenience and interference with daily activities as potential barriers to self-care adherence. As a result, adherence is generally poor and often worsens with time. Because self-care is on-going, poor adherence reduces the effectiveness of regimens and leads to costly treatment of BCRL complications.

Conclusion: Novel self-care solutions that are more convenient and that interfere less with daily activities could increase self-care adherence and ultimately reduce complication-related costs of BCRL.

Background: Stereotactic body radiotherapy (SBRT) is a novel radio-therapeutic technique that has recently emerged as standard-of-care treatment for medically inoperable, early-stage non-small cell lung cancer (NSCLC). In this study, we compared the cost-effectiveness of SBRT with that of conventional fractionated radiotherapy (CFRT) in patients with medically inoperable, early-stage NSCLC from the perspective of the Chinese health system.

Methods: A Markov model was developed to describe health states of patients after treatment with SBRT and CFRT. The recurrence risks, treatment toxicities, and utilities inputs were obtained from the literature. The costs were based on listed prices and real-world evidence. A simulation was conducted to determine the post-treatment lifetime years. For each treatment, the total costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs) per QALY were calculated. Deterministic and probabilistic sensitivity analyses were performed to assess the uncertainty of the model parameters.

Results: In the base case analysis, SBRT was associated with a mean cost of USD16,933 and 2.05 QALYs, whereas CFRT was associated with a mean cost of USD17,726 and 1.61 QALYs. SBRT is a more cost-effective strategy compared with CFRT for medically inoperable, early-stage NSCLC, with USD 1802 is saved for every incremental QALY. This result was validated by DSA and PSA, in which SBRT remained the most cost-effective option.

Conclusions: The findings suggested that, compared to CFRT, SBRT may be considered a more cost-effective strategy for medically inoperable, early-stage NSCLC.

Background: The Central Government of India introduced the National Health Mission (NHM) in 2005 to improve health outcomes by enhancing publicly financed (government) health expenditure and health infrastructure at the state level. This study aims to examine the effects of the state-level heterogeneity in publicly financed spending on health services on major health outcomes such as life expectancy, infant mortality rate, child mortality rate, the incidence of malaria, and immunization coverage (i.e., BCG, Polio, Measles, and Tetanus).

Methods: This study investigates the relationships between publicly financed health expenditure and health outcomes by controlling income and infrastructure levels across 28 Indian States from 2005 to 2016. Along with all states, the empirical analysis has also been carried out for high-focus and non-high-focus states as per the NHM fund flow criteria. It has applied panel fixed-effects and random effects model wherever required based on the Hausman test.

Results: The empirical results show that publicly financed health expenditure reduces infant mortality, child mortality, and malaria cases. At the same time, it improves life expectancy and immunization coverage in India. It also finds that the relationship between publicly financed health expenditure and health outcomes is weak, especially in the high-focus states.

Conclusions: Given the healthcare need for achieving desirable health outcomes, Indian States should enhance publicly financed expenditure on health services. This study augments essential guidance for implementing public health policies in developing countries.

Background: A health-economic evaluation related to COVID-19 is urgently needed to allocate healthcare resources efficiently; however, relevant medical cost data in Japan concerning COVID-19 are scarce.

Methods: This cross-sectional study investigated the healthcare cost for hospitalized COVID-19 patients in 2021 at Keio University Hospital. We calculated the healthcare costs during hospitalization using hospital claims data and investigated the variables significantly related to the healthcare cost with multivariable analysis.

Results: The median healthcare cost per patient for the analyzed 330 patients was Japanese yen (JPY) 1,304,431 (US dollars ~ 11,871) (interquartile range: JPY 968,349-1,954,093), and the median length of stay was 10 days. The median healthcare cost was JPY 798,810 for mild cases; JPY 1,113,680 for moderate I cases; JPY 1,643,909 for moderate II cases; and JPY 6,210,607 for severe cases. Healthcare costs increased by 4.0% for each additional day of hospitalization; 1.26 times for moderate I cases, 1.64 times for moderate II cases, and 1.84 times for severe cases compared to mild cases; and 2.05 times for cases involving ICU stay compared to those not staying in ICU.

Conclusions: We clarified the healthcare cost for hospitalized COVID-19 patients by severity in a Japanese university hospital. These costs contribute as inputs for forthcoming health economic evaluations for strategies for preventing and treating COVID-19.

Background: Diabetes is one of the most prevalent chronic diseases with subsequent complications. The positive effects of diabetes pay-for-performance (P4P) programs on treatment outcomes have been reported. The program provides financial incentives based on physiological care indicators, but common mental disorder complications such as depression are not covered.

Methods: This study employed a natural experimental design to examine the spillover effects of diabetes P4P program on patients with nonincentivized depressive symptoms. The intervention group consisted of diabetes patients enrolled in the DM P4P program from 2010 to 2015. Unenrolled patients were selected by propensity score matching to form the comparison group. Difference-in-differences analyses were conducted to evaluate the effects of P4P programs. We employed generalized estimating equation (GEE) models, difference-in-differences analyses and difference-in-difference-in-differences analyses to evaluate the net effect of diabetes P4P programs. Changes in medical expenses (outpatient and total health care costs) over time were analysed for the treatment and comparison groups.

Results: The results showed that enrolled patients had a higher incidence of depressive symptoms than unenrolled patients. The outpatient and total care expenses of diabetes patients with depressive symptoms were lower in the intervention group than in the comparison group. Diabetes patients with depressive symptoms enrolled in the DM P4P program had lower expenses for depression-related care than those not enrolled in the program.

Conclusions: The DM P4P program benefits diabetes patients by screening for depressive symptoms and lowering accompanying health care expenses. These positive spillover effects may be an important aspect of physical and mental health in patients with chronic disease enrolled in disease management programs while contributing to the control of health care expenses for chronic diseases.

Objective: To estimate and compare the cost-effectiveness of COVID-19 critical care intervention approaches: noninvasive (oxygen without intubation) and invasive (intubation) management in Ethiopia.

Methods: A Markov model is used to compare the costs and outcomes for non-invasive and invasive COVID-19 clinical interventions using both primary and secondary data sources. Healthcare provider costs (recurrent and capital cost) and patient-side costs (direct and indirect) were estimated and reported in United States Dollars (US$), 2021. The outcome measure used in this analysis was DALYs averted. Both the average cost-effectiveness ratio (ACER) and incremental cost-effectiveness ratio (ICER) were reported. One-way and probabilistic sensitivity analyses were applied to assess the robustness of the findings. The analysis is conducted using Tree Age pro health care software 2022.

Result: The average cost per patient per episode for mild/moderate, severe, noninvasive, and invasive critical management was $951, $3449, $5514, and $6500, respectively. According to the average cost-effective ratio (ACER), non-invasive management resulted in $1991 per DALY averted, while invasive management resulted in $3998 per DALY averted. Similarly, the incremental cost-effective ratio (ICER) of invasive compared to noninvasive management was $ 4948 per DALY averted.

Conclusion: Clinical management of critical COVID-19 cases in Ethiopia is associated with a significant financial burden. Invasive intervention is unlikely to be a cost-effective COVID-19 intervention in Ethiopia compared to noninvasive critical case management using a willingness to pay threshold of three times GDP per capita.

Background: Cardiovascular diseases, such as stroke and ischemic heart disease attributable to hypertension, are major causes of premature death in Japan and worldwide. Nevertheless, a low rate of blood pressure control among hypertensive patients has been observed in most countries. No previous studies have explored the effectiveness of physician visits among hypertensive patients in Japan.

Methods: To quantify the effects of persistence in physician visits among hypertensive patients, we evaluated the causal effect of physician visits on the health of hypertensive patients. We used 16 waves of nationally representative longitudinal data drawn from the Longitudinal Survey of Middle-aged and Elderly Persons in Japan (2005-2020). To examine the causal effect of physician visits on patients' health outcomes, we used inverse probability treatment weights and doubly robust estimation and obtained the estimates of the average treatment effects on the treated (ATETs).

Results: Covariates were well balanced among patients who had physician visits during the past two consecutive years (N = 67,210; 64.9% among hypertensive patients). The estimated ATETs suggest that three consecutive years of physician visits had a negative impact on poor subjective health. Furthermore, patients without habitual exercise tended to not continue physician visits and perceived poor subjective health.

Conclusions: Although the impact of frequent physician visits on blood pressure stability remains uncertain, regular appointments every 30 days can be effective for individuals with hypertension, particularly if they receive continuous instruction from their family physician. Because it is important for physicians to strengthen hypertensive patients' blood pressure control, promoting consecutive physician visits to hypertensive patients with diabetes, lower educational attainment, or smoking habits is needed.

The objective of this study was to estimate the willingness to pay (WTP) per quality-adjusted life year (QALY) among people with malignancies in China. The WTP for a QALY was estimated using a contingent valuation survey. Health utility was measured in EuroQol-5 dimensions (EQ-5D). The questionnaires were completed in face-to-face interviews. Respondents consisted of patients with malignant tumors and their family members and came from three tertiary hospitals in different cities with high, medium, and low gross domestic product (GDP) levels. In this study, we offered lump-sum payments and 10 year installment plans to respondents. Finally, we conducted sensitivity analysis and stepwise regression analyses to identify factors that affected the WTP/QALY ratios. A total of 1264 people participated in this survey, and 1013 people gave WTP responses for further analysis. The mean and median WTP/QALY values based on the lump-sum payments were 366,879 RMB (53,171USD, 5.1 times the GDP per capita) and 99,906 RMB (14,479USD, 1.39 times the GDP per capita) for the overall sample; 339,330 RMB (49,178USD, 4.71 times the GDP per capita) and 83,875 RMB (12,156USD, 1.16 times the GDP per capita) for the patient group; and 407,396 RMB (59,043USD, 5.66 times the GDP per capita) and 149,436 RMB (21,657USD, 2.08 times the GDP per capita) for the family group. Considering the skewedness of the data distribution, we suggest setting the cost-utility threshold with reference to the median. When the payment plan changed to 10-year installments, the median increased to 134,734RMB (19,527USD), 112,390 RMB (16,288USD) and 173,838 RMB (25,194USD) for the above groups, respectively. EQ-5D-5L health utility, annual household income per capita, patients with other chronic diseases, occupation, regular physical examinations (patients) and age (family members) were significantly related to WTP/QALY. This study provides empirical evidence of the monetary value of a QALY from a sample of the Chinese population with malignancies. In addition, the ratio of the WTP/QALY to GDP per capita was related to the disease and hypothetical scenario, and a higher ratio of GDP per capita for malignant tumor therapies should be considered.