The economic costs and cost-effectiveness of HIV self-testing among truck drivers in Kenya

HIV status awareness is critical for ending the HIV epidemic but remains low in high-HIV-risk and hard-to-reach sub-populations. Targeted, efficient interventions are needed to improve HIV test-uptake. We examined the incremental cost-effectiveness of offering the choice of self-administered oral HIV-testing (HIVST-Choice) compared with provider-administered testing only [standard-of-care (SOC)] among long-distance truck drivers. Effectiveness data came from a randomized-controlled trial conducted at two roadside wellness clinics in Kenya (HIVST-Choice arm, n = 150; SOC arm, n = 155). Economic cost data came from the literature, reflected a societal perspective and were reported in 2020 international dollars (I$), a hypothetical currency with equivalent purchasing power as the US dollar. Generalized Poisson and linear gamma regression models were used to estimate effectiveness and incremental costs, respectively; incremental effectiveness was reported as the number of long-distance truck drivers needing to receive HIVST-Choice for an additional HIV test-uptake. We calculated the incremental cost-effectiveness ratio (ICER) of HIVST-Choice compared with SOC and estimated 95% confidence intervals (CIs) using non-parametric bootstrapping. Uncertainty was assessed using deterministic sensitivity analysis and the cost-effectiveness acceptability curve. HIV test-uptake was 23% more likely for HIVST-Choice, with six individuals needing to be offered HIVST-Choice for an additional HIV test-uptake. The mean per-patient cost was nearly 4-fold higher in HIVST-Choice (I$39.28) versus SOC (I$10.80), with an ICER of I$174.51, 95% CI [165.72, 194.59] for each additional test-uptake. HIV self-test kit and cell phone service costs were the main drivers of the ICER, although findings were robust even at highest possible costs. The probability of cost-effectiveness approached 1 at a willingness-to-pay of I$200 for each additional HIV test-uptake. HIVST-Choice improves HIV-test-uptake among truck drivers at low willingness-to-pay thresholds, suggesting that HIV self-testing is an efficient use of resources. Policies supporting HIV self-testing in similar high risk, hard-to-reach sub-populations may expedite achievement of international targets.

A Review of the Cost-Effectiveness Evidence for FDA-Approved Cell and Gene Therapies

Cell and gene therapy (CGT) innovations have provided several significant breakthroughs in recent years. However, CGTs often come with a high upfront cost, raising questions about patient access, affordability, and long-term value. This study reviewed cost-effectiveness analysis (CEA) studies that have attempted to assess the long-term value of Food and Drug Administration (FDA)-approved CGTs. Two reviewers independently searched the Tufts Medical Center CEA Registry to identify all studies for FDA-approved CGTs, per January 2023. A data extraction template was used to summarize the evidence in terms of the incremental cost-effectiveness ratio expressed as the cost per quality-adjusted life year (QALY) and essential modeling assumptions, combined with a template to extract the adherence to the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. The review identified 26 CEA studies for seven CGTs. Around half of the base-case cost-effectiveness results indicated that the cost per QALY was below $100,000-$150,000, often used as a threshold for reasonable cost-effectiveness in the United States. However, the results varied substantially across studies for the same treatment, ranging from being considered very cost-effective to far from cost-effective. Most models were based on data from single-arm trials with relatively short follow-ups, and different long-term extrapolations between studies caused large differences in the modeled cost-effectiveness results. In sum, this review showed that, despite the high upfront costs, many CGTs have cost-effectiveness evidence that can support long-term value. Nonetheless, substantial uncertainty regarding long-term value exists because so much of the modeling results are driven by uncertain extrapolations beyond the clinical trial data.

Cost-effectiveness of early intervention in psychosis in low- and middle-income countries: economic evaluation from São Paulo, Brazil

AIMS

The effectiveness and cost-effectiveness of early intervention for psychosis (EIP) services are well established in high-income countries but not in low- and middle-income countries (LMICs). Despite the scarcity of local evidence, several EIP services have been implemented in LMICs. Local evaluations are warranted before adopting speciality models of care in LMICs. We aimed to estimate the cost-effectiveness of implementing EIP services in Brazil.

METHODS

A model-based economic evaluation of EIP services was conducted from the Brazilian healthcare system perspective. A Markov model was developed using a cohort study conducted in São Paulo. Cost data were retrieved from local sources. The outcome of interest was the incremental cost-effectiveness ratio (ICER) measured as the incremental costs over the incremental quality-adjusted life-years (QALYs). Sensitivity analyses were performed to test the robustness of the results.

RESULTS

The study included 357 participants (38% female), with a mean (SD) age of 26 (7.38) years. According to the model, implementing EIP services in Brazil would result in a mean incremental cost of 4,478 Brazilian reals (R$) and a mean incremental benefit of 0.29 QALYs. The resulting ICER of R$ 15,495 (US dollar [USD] 7,640 adjusted for purchase power parity [PPP]) per QALY can be considered cost-effective at a willingness-to-pay threshold of 1 Gross domestic product (GDP) per capita (R$ 18,254; USD 9,000 PPP adjusted). The model results were robust to sensitivity analyses.

CONCLUSIONS

This study supports the economic advantages of implementing EIP services in Brazil. Although cultural adaptations are required, these data suggest EIP services might be cost-effective even in less-resourced countries.

Bone-anchored prostheses for transfemoral amputation: a systematic review of outcomes, complications, patient experiences, and cost-effectiveness

Introduction

Bone-anchored prostheses (BAP) are an advanced reconstructive surgical approach for individuals who had transfemoral amputation and are unable to use the conventional socket-suspension systems for their prostheses. Access to this technology has been limited in part due to the lag between the start of a new procedure and the availability of evidence that is required before making decisions about widespread provision. This systematic review presents as a single resource up-to-date information on aspects most relevant to decision makers, i.e., clinical efficacy, safety parameters, patient experiences, and health economic outcomes of this technology.

Methods

A systematic search of the literature was conducted by an information specialist in PubMed, MEDLINE, Embase, CINAHL, Cochrane Library, the Core Collection of Web of Science, CADTH's Grey Matters, and Google Scholar up until May 31, 2023. Peer-reviewed original research articles on the outcomes of clinical effectiveness (health-related quality of life, mobility, and prosthesis usage), complications and adverse events, patient experiences, and health economic outcomes were included. The quality of the studies was assessed using the Oxford Centre for Evidence-Based Medicine Levels of Evidence and ROBINS-I, as appropriate.

Results

Fifty studies met the inclusion criteria, of which 12 were excluded. Thirty-eight studies were finally included in this review, of which 21 reported on clinical outcomes and complications, 9 case series and 1 cohort study focused specifically on complications and adverse events, and 2 and 5 qualitative studies reported on patient experience and health economic assessments, respectively. The most common study design is a single-arm trial (pre-/post-intervention design) with varying lengths of follow-up.

Discussion

The clinical efficacy of this technology is evident in selected populations. Overall, patients reported increased health-related quality of life, mobility, and prosthesis usage post-intervention. The most common complication is a superficial or soft-tissue infection, and more serious complications are rare. Patient-reported experiences have generally been positive. Evidence indicates that bone-anchored implants for prosthesis fixation are cost-effective for those individuals who face significant challenges in using socket-suspension systems, although they may offer no additional advantage to those who are functioning well with their socket-suspended prostheses.

Economics and dementia: Challenges and responses

Economics and dementia are interconnected in many ways. There is, for example, accumulating evidence of the ways in which dementia impacts on the economic status of individuals and families, on health and social care system budgets, and on national economies. An individual's economic status can affect their risk of dementia and their ability to respond to it. Governments and other strategic decision-makers are aware of the (growing, indeed urgent) need to take action - whether that is prevention, treatment or care - but also very aware of the limited resources available to them and to the general population. Research evidence can potentially inform the difficult decisions that government and others need to take. We briefly summarise some economic evaluation studies in the dementia area as a basis for identifying the main challenges of moving from evidence to better policy and practice. We then discuss some possible responses (from a range of stakeholders) to these challenges, and how the STRiDE study has sought to contribute to this fast-moving field.

Evaluating Policies of Expanding Versus Restricting First-Line Treatment Choices: A Cost-Effectiveness Analysis Framework

OBJECTIVES

Healthcare payers often implement coverage policies that restrict the utilization of costly new first-line treatments. Cost-effectiveness analysis can be conducted to inform these decisions by comparing the new treatment with an existing one. However, this approach may overlook important factors such as treatment effect heterogeneity and endogenous treatment selection, policy implementation costs, and diverse patient preferences across multiple treatment options. We aimed to develop a cost-effectiveness analysis framework that considers these real-world factors, facilitating the evaluation of alternative policies related to expanding or restricting first-line treatment choices.

METHODS

We introduced a metric of incremental cost-effectiveness ratio (ICER) that compares an expanded choice set (CS) including the new first-line treatment with a restricted CS excluding the new treatment. ICER(CS) accounts for treatment selection influenced by heterogeneous treatment effects and policy implementation costs. We examined a basic scenario with 2 standard first-line treatment choices and a more realistic scenario involving diverse preferences toward multiple choices. To illustrate the framework, we conducted a retrospective evaluation of including versus excluding abiraterone acetate plus prednisone (AAP) (androgen deprivation therapy [ADT] + AAP) as a first-line treatment for metastatic hormone-sensitive prostate cancer.

RESULTS

The traditional ICERs for ADT + AAP versus ADT alone and ADT+ docetaxel were $104 269 and $206 324/quality-adjusted life-year, respectively. The ICER(CS) for comparing an expanded CS with ADT + AAP with a restricted CS without ADT + AAP was $123 179/quality-adjusted life-year.

CONCLUSIONS

The proposed framework provides decision makers with policy-relevant tools, enabling them to assess the cost-effectiveness of alternative policies of expanding versus restricting patients' and physicians' first-line treatment choices.

Comparing Survival Extrapolation within All-Cause and Relative Survival Frameworks by Standard Parametric Models and Flexible Parametric Spline Models Using the Swedish Cancer Registry

BACKGROUND

In health technology assessment, restricted mean survival time and life expectancy are commonly evaluated. Parametric models are typically used for extrapolation. Spline models using a relative survival framework have been shown to estimate life expectancy of cancer patients more reliably; however, more research is needed to assess spline models using an all-cause survival framework and standard parametric models using a relative survival framework.

AIM

To assess survival extrapolation using standard parametric models and spline models within relative survival and all-cause survival frameworks.

METHODS

From the Swedish Cancer Registry, we identified patients diagnosed with 5 types of cancer (colon, breast, melanoma, prostate, and chronic myeloid leukemia) between 1981 and 1990 with follow-up until 2020. Patients were categorized into 15 cancer cohorts by cancer and age group (18-59, 60-69, and 70-99 y). We right-censored the follow-up at 2, 3, 5, and 10 y and fitted the parametric models within an all-cause and a relative survival framework to extrapolate to 10 y and lifetime in comparison with the observed Kaplan-Meier survival estimates. All cohorts were modeled with 6 standard parametric models (exponential, Weibull, Gompertz, log-logistic, log-normal, and generalized gamma) and 3 spline models (on hazard, odds, and normal scales).

RESULTS

For predicting 10-y survival, spline models generally performed better than standard parametric models. However, using an all-cause or a relative survival framework did not show any distinct difference. For lifetime survival, extrapolating from a relative survival framework agreed better with the observed survival, particularly using spline models.

CONCLUSIONS

For extrapolation to 10 y, we recommend spline models. For extrapolation to lifetime, we suggest extrapolating in a relative survival framework, especially using spline models.

HIGHLIGHTS

For survival extrapolation to 10 y, spline models generally performed better than standard parametric models did. However, using an all-cause or a relative survival framework showed no distinct difference under the same parametric model.Survival extrapolation to lifetime within a relative survival framework agreed well with the observed data, especially using spline models.Extrapolating parametric models within an all-cause survival framework may overestimate survival proportions at lifetime; models for the relative survival approach may underestimate instead.

Cost-effectiveness Analysis of Inferior Turbinate Reduction and Immunotherapy in Allergic Rhinitis

BACKGROUND

Allergic rhinitis (AR) is a common condition that is frequently associated with atopic inferior turbinate hypertrophy (ITH) resulting in nasal obstruction. Current guidelines support the use of subcutaneous allergen immunotherapy (SCIT) when patients fail pharmacologic management. However, there is a lack of consensus regarding the role of inferior turbinate reduction (ITR), a treatment that we hypothesize is cost-effective compared with other available treatments.

METHODS

We conducted a cost-effectiveness analysis comparing the following treatment combinations over a 5-year time horizon for AR patients presenting with atopic nasal obstruction who fail initial pharmacotherapy: (1) continued pharmacotherapy alone, (2) allergy testing and SCIT, (3) allergy testing and SCIT and then ITR for SCIT nonresponders, and (4) ITR and then allergy testing and SCIT for ITR nonresponders. Results were reported as incremental cost-effectiveness ratios (ICERs).

RESULTS

For patients who fail initial pharmacotherapy, prioritizing ITR, either by microdebrider-assisting submucous resection or radiofrequency ablation, before SCIT was the most cost-effective strategy. Probabilistic sensitivity analysis demonstrated that prioritizing ITR before SCIT was the most cost-effective option in 95.4% of scenarios. ITR remained cost-effective even with the addition of concurrent septoplasty.

CONCLUSION

For many AR patients who present with nasal obstruction secondary to atopic inferior turbinate hypertrophy that is persistent despite pharmacotherapy, ITR is a cost-effective treatment that should be considered prior to immunotherapy.

LEVEL OF EVIDENCE

NA - Laryngoscope, 2023 Laryngoscope, 134:1572-1580, 2024.

Treatment of tomato paste wastewater by electrochemical and membrane processes: process optimization and cost calculation

This study investigated the treatment of wastewater from tomato paste (TP) production using electrocoagulation (EC) and electrooxidation (EO). The effectiveness of water recovery from the pretreated water was then investigated using the membrane process. For this purpose, the effects of independent control variables, including electrode type (aluminum, iron, graphite, and stainless steel), current density (25-75 A/m2), and electrolysis time (15-120 min) on chemical oxygen demand (COD) and color removal were investigated. The results showed that 81.0% of COD and 100% of the color removal were achieved by EC at a current density of 75 A/m2, a pH of 6.84 and a reaction time of 120 min aluminum electrodes. In comparison, EO with graphite electrodes achieved 55.6% of COD and 100% of the color removal under similar conditions. The operating cost was calculated to be in the range of $0.56-30.62/m3. Overall, the results indicate that EO with graphite electrodes is a promising pretreatment process for the removal of various organics. In the membrane process, NP030, NP010, and NF90 membranes were used at a volume of 250 mL and 5 bar. A significant COD removal rate of 94% was achieved with the membrane. The combination of EC and the membrane process demonstrated the feasibility of water recovery from TP wastewater.

CAR T-cell Therapy for Diffuse Large B-cell Lymphoma in Canada: A Cost-Utility Analysis

BACKGROUND

Chimeric antigen receptor (CAR) T-cell therapy is a novel cell therapy for treating non-Hodgkin lymphoma. The development of CAR T-cell therapy has transformed oncology treatment by offering a potential cure. However, due to the high cost of these therapies, and the large number of eligible patients, decision makers are faced with difficult funding decisions. Our objective was to assess the cost-effectiveness of tisagenlecleucel for adults with relapsed/refractory diffuse large B-cell lymphoma in Canada using updated survival data from the recent JULIET trial.

METHODS

We developed an individual-simulated discrete event simulation model to assess the costs and quality-adjusted life-years (QALY) of tisagenlecleucel compared with salvage chemotherapy. Survival estimates were obtained from a published clinical trial and retrospective analysis. If patients remained progression free for 5 y, they were assumed to be in long-term remission. Costing and utility data were obtained from reports and published sources. A Canadian health care payer perspective was used, and outcomes were modeled over a lifetime horizon. Costs and outcomes were discounted at 1.5% annually, with costs reported in 2021 Canadian dollars. A probabilistic analysis was used, and model parameters were varied in 1-way sensitivity analyses and scenario analyses.

RESULTS

After we incorporated the latest clinical evidence, tisagenlecleucel led to an additional cost of $503,417 and additional effectiveness of 2.48 QALYs, with an incremental cost-effectiveness ratio of $202,991 compared with salvage chemotherapy. At a willingness-to-pay threshold of $100,000/QALY, tisagenlecleucel had a 0% likelihood of being cost-effective.

CONCLUSIONS

At the current drug price, tisagenlecleucel was not found to be a cost-effective option. These results heavily depend on assumptions regarding long-term survival and the price of CAR T. Real-world evidence is needed to reduce uncertainty.

HIGHLIGHTS

For patients with diffuse large B-cell lymphoma who failed 2 or more lines of systemic therapy, CAR T was not found to be a cost-effective treatment option at a willingness-to-pay threshold of $100,000.These results heavily depend on the expected long-term survival. The uncertainty in the model may be improved using real-world evidence reported in the future.

A Tutorial on Net Benefit Regression for Real-World Cost-Effectiveness Analysis Using Censored Data from Randomized or Observational Studies

HIGHLIGHTS

We illustrate the steps involved in carrying out cost-effectiveness analysis using net benefit regressions with possibly censored demo data by providing step-by-step guidance and code applied to a data set.We demonstrate the importance of these new methods by illustrating how naïve methods for handling censoring can lead to biased cost-effectiveness results.

Osimertinib in the treatment of resected EGFR-mutated non-small cell lung cancer: a cost-effectiveness analysis in the United States

Background: In the double-blind phase III ADAURA randomized clinical trial, adjuvant osimertinib showed a substantial overall survival benefit in patients with stage IB to IIIA, EGFR-mutated, completely resected non-small cell lung cancer (NSCLC). We conduct a cost-effectiveness analysis comparing the use of adjuvant osimertinib to placebo in patients with stage IB to IIIA, EGFR-mutated, resected NSCLC. Methods: Based on the results obtained from the ADAURA trial, a Markov model with three-state was employed to simulate patients who were administered either osimertinib or placebo until disease recurrence or completion of the study period (3 years). Quality-adjusted life-years (QALYs), lifetime costs, and incremental cost-effectiveness ratio (ICER) were calculated with a willingness-to-pay (WTP) threshold of $150,000 per QALY. Both univariate and probabilistic sensitivity analyses were carried out to explore the robustness of the model. Results: Osimertinib produced additional 1.59 QALYs with additional costs of $492,710 compared to placebo, giving rise to ICERs of $309,962.66/QALY. The results of the univariate sensitivity analysis indicated that the utility of disease-free survival (DFS), cost of osimertinib, and discount rate had the greatest impact on the outcomes. Probabilistic sensitivity analysis showed that osimertinib exhibited a 0% chance of being considered cost-effective for patients using a WTP threshold $150,000/QALY. Conclusion: In our model, osimertinib was unlikely to be cost-effective compared to placebo for stage IB to IIIA, EGFR-mutated, completely resected NSCLC patients from the perspective of a U.S. payer at a WTP threshold of $150,000 per QALY.

Cost-effectiveness analysis of expectant vs active management for treatment of persistent pregnancies of unknown location

BACKGROUND

Persistent pregnancies of unknown location are defined by abnormally trending serum human chorionic gonadotropin with nondiagnostic ultrasound. There is no consensus on optimal management.

OBJECTIVE

This study aimed to assess the cost-effectiveness of 3 primary management strategies for persistent pregnancies of unknown location: (1) expectant management, (2) empirical 2-dose methotrexate, and (3) uterine evacuation followed by methotrexate, if indicated.

STUDY DESIGN

This was a prospective economic evaluation performed concurrently with the Expectant versus Active Management for Treatment of Persistent Pregnancies of Unknown Location multicenter randomized trial that was conducted from July 2014 to June 2019. Participants were randomized 1:1:1 to expectant management, 2-dose methotrexate, or uterine evacuation. The analysis was from the healthcare sector perspective with a 6-week time horizon after randomization. Costs were expressed in 2018 US dollars. Effectiveness was measured in quality-adjusted life years and the rate of salpingectomy. Incremental cost-effectiveness ratios and cost-effectiveness acceptability curves were generated. Sensitivity analyses were performed to assess the robustness of the analysis.

RESULTS

Methotrexate had the lowest mean cost ($875), followed by expectant management ($1085) and uterine evacuation ($1902) (P=.001). Expectant management had the highest mean quality-adjusted life years (0.1043), followed by methotrexate (0.1031) and uterine evacuation (0.0992) (P=.0001). The salpingectomy rate was higher for expectant management than for methotrexate (9.4% vs 1.2%, respectively; P=.02) and for expectant management than for uterine evacuation (9.4% vs 8.1%, respectively; P=.04). Uterine evacuation, with the highest costs and the lowest quality-adjusted life years, was dominated by both expectant management and methotrexate. In the base case analysis, expectant management was not cost-effective compared with methotrexate at a willingness to pay of $150,000 per quality-adjusted life year given an incremental cost-effectiveness ratio of $175,083 per quality-adjusted life year gained (95% confidence interval, -$1,666,825 to $2,676,375). Threshold analysis demonstrated that methotrexate administration would have to cost $214 (an increase of $16 or 8%) to favor expectant management. Moreover, expectant management would be favorable in lower-risk patient populations with rates of laparoscopic surgical management for ectopic pregnancy not exceeding 4% of pregnancies of unknown location. Based on the cost-effectiveness acceptability curves, the probability of expectant management being cost-effective compared with methotrexate at a willingness to pay of $150,000 per quality-adjusted life year gained was 50%. The results were dependent on the cost of surgical intervention and the expected rate of methotrexate failure.

CONCLUSION

The management of pregnancies of unknown location with a 2-dose methotrexate protocol may be cost-effective compared with expectant management and uterine evacuation. Although uterine evacuation was dominated, expectant management vs methotrexate results were sensitive to modest changes in treatment costs of both methotrexate and surgical management.

Cost-Effectiveness of Artificial Intelligence-Based Opportunistic Compression Fracture Screening of Existing Radiographs

PURPOSE

Osteoporotic vertebral compression fractures (OVCFs) are a highly prevalent source of morbidity and mortality, and preventive treatment has been demonstrated to be both effective and cost effective. To take advantage of the information available on existing chest and abdominal radiographs, the authors' study group has developed software to access these radiographs for OVCFs with high sensitivity and specificity using an established artificial intelligence deep learning algorithm. The aim of this analysis was to assess the potential cost-effectiveness of implementing this software.

METHODS

A deterministic expected-value cost-utility model was created, combining a tree model and a Markov model, to compare the strategies of opportunistic screening for OVCFs against usual care. Total costs and total quality-adjusted life-years were calculated for each strategy. Screening and treatment costs were considered from a limited societal perspective, at 2022 prices.

RESULTS

In the base case, assuming a cost of software implantation of $10 per patient screened, the screening strategy dominated the nonscreening strategy: it resulted in lower cost and increased quality-adjusted life-years. The lower cost was due primarily to the decreased costs associated with fracture treatment and decreased probability of requiring long-term care in patients who received preventive treatment. The screening strategy was dominant up to a cost of $46 per patient screened.

CONCLUSIONS

Artificial intelligence-based opportunistic screening for OVCFs on existing radiographs can be cost effective from a societal perspective.

Cost-effectiveness analysis of amivantamab plus chemotherapy versus chemotherapy alone in NSCLC with EGFR Exon 20 insertions

Objective

Amivantamab plus chemotherapy has been proved to be an efficient treatment strategy for non-small-cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) exon 20 insertions. The aim of this study was to conduct the cost-effectiveness analysis of amivantamab-chemotherapy compared with chemotherapy alone in NSCLC harboring EGFR exon 20 insertion mutations.

Methods

We constructed a Markov model based on the data derived from the PAPILLON trial. We evaluated the cost, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratio (ICER). One-way and probabilistic sensitivity analyses were used to evaluate the influence of different parameters on this model.

Results

Compared with chemotherapy alone, amivantamab combined with chemotherapy treatment gained an incremental effectiveness of 0.473 QALYs and an incremental cost of $361,950.952, which resulted in an ICER of $765,224/QALY. The ICER was much higher than the willingness-to-pay threshold of 15,0000/QALY. One-way sensitivity analysis revealed that amivantamab cost was the leading influential factor in the model.

Conclusions

Compared with chemotherapy alone, amivantamab plus chemotherapy is not a cost-effective first-line treatment choice for NSCLC patients with EGFR exon 20 insertions. The costly price of amivantamab is one of the major reasons for the high cost of this combined treatment strategy. Therefore, it is imperative to take into account the high cost of amivantamab in the subsequent clinical application and strive to attain a relative equilibrium between its significant clinical benefit and economic encumbrance.

Challenges of Incorporating Life Cycle Drug Pricing in Cost-Effectiveness Models: A Review of Methods and Modeling Suggestions

OBJECTIVES

This study aimed to conduct a review of existing methods used to incorporate life cycle drug pricing (LCDP) in cost-effectiveness analyses (CEAs), identify common methodological challenges, and suggest modeling approaches for prospectively implementing LCDP in CEA.

METHODS

Two complementary searches were conducted in PubMed, combined with hand searching and reference mining, to identify English language full-text articles that explored (1) how drug prices change over time and (2) methods used to apply dynamic pricing in cost-effectiveness models (CEMs). Relevant articles were reviewed, and authors discussed the common methodological practices used in the literature and their associated challenges on prospectively implementing LCDP in CEMs. For each key challenge identified, we provide modeling suggestions to address the issue.

RESULTS

We screened 1200 studies based on title and abstract; 117 were reviewed for eligibility, and 47 individual studies were included across both searches. Variations in prices over a product's life cycle are complex and multifactorial, and models applying LCDP in CEA varied in their methodology. We identified 4 key challenges to modeling LCDP in CEA, including how to model price trends before and after loss of exclusivity, how to capture the effect of price changes on future patient cohorts, and how to report results.

CONCLUSION

Accurately quantifying the impact of LCDP requires careful consideration of multiple aspects pertaining to both the evolution of drug prices and how to reflect these in CEA. Although uncertainties remain, our findings can aid implementation and evaluation of LCDP in economic evaluations.

Cost-Effectiveness analysis of endovascular versus open repair in patients with abdominal aortic aneurysm in Iran: A Cross-Sectional study

OBJECTIVES

Abdominal aortic aneurysm is one of the most important cardiovascular diseases, especially in the elderly. People with this disease are at risk of rupture of the abdominal aorta and death. The present study was conducted with the aim of analyzing the cost effectiveness of endovascular repair compared to open surgery in abdominal aortic aneurysm patients in Iran.

METHODS

A Markov chain model was developed based on the use of endovascular repair and open surgery. The base-case patient was defined as a 65-year-old man presenting with abdominal aortic aneurysm diameter greater than 5 cm. The determination of costs was from the perspective of the public sector provider. QALY was used to calculate the effectiveness. Incremental cost-effectiveness ratio (ICER) and TreeAge software were used for cost-effectiveness analysis. The follow-up period was 10 years and the willingness to pay (WTP) was determined as three times the Gross domestic product (GDP) per capita.

RESULT

At the end of year 10, the endovascular aneurysm repair (EVAR) strategy gained 1,318,313,559 Iranian Rial (IRR) (67885.29$) in cost and 3.57 QALYs in effectiveness. In contrast, the use of the open surgery repair (OSR) strategy gained 1,186,761,858 IRR (61111.16$) in cost and 3·32 QALYs in effectiveness. The incremental cost-effectiveness ratio, comparing EVAR versus OSR, was 53, 346, 3757 IRR (178.36$) per QALYs, which is lower than the proposed WTP, indicating that EVAR is more expensive and more effective. Based on the Monte Carlo simulation test, EVAR is the preferred strategy in 58.6% of the population.

CONCLUSION

Endovascular repair has a relative superiority compared to open surgery, and the probability of the effectiveness of endovascular repair compared to open surgery does not change with increasing willingness to pay.

Tislelizumab versus sorafenib as first-line treatment for advanced hepatocellular carcinoma in China: a cost-effectiveness analysis

Objective

The goal of this study is to compare the cost-effectiveness of tislelizumab and sorafenib as first-line treatment for advanced hepatocellular carcinoma in China.

Methods

A comprehensive cost-effectiveness analysis was undertaken within the framework of a partitioned survival model to accurately gage the incremental cost-effectiveness ratio (ICER) of tislelizumab compared to sorafenib. The model incorporated relevant clinical data and all survival rates were from RATIONALE-301 trials. The stability of the partitioned survival model was assessed by performing one-way and two-way sensitivity analyses.

Results

The total cost incurred for the tislelizumab treatment was $16181.24, whereas the sorafenib was $14306.87. The tislelizumab regimen resulted in a significant increase of 0.18 quality-adjusted life years (QALYs) and an extra cost of $1874.37 as compared to chemotherapy. The ICER was $10413.17 per QALY, which was found to be below the willingness-to-pay (WTP) threshold of $37304.34/QALY. The results of the sensitivity analysis found that no fluctuations in any of the factors affected our results, even when these parameters fluctuated.

Conclusion

Tislelizumab appears to be a cost-effective first-line treatment for advanced hepatocellular carcinoma when compared to sorafenib in China. These findings can inform decision-making processes regarding the selection of the most cost-effective treatment option for advanced hepatocellular carcinoma.

Cost-effectiveness of 2 Models of Pessary Care for Pelvic Organ Prolapse: Findings From the TOPSY Randomized Controlled Trial

OBJECTIVES

Pelvic organ prolapse is the descent of one or more reproductive organs from their normal position, causing associated negative symptoms. One conservative treatment option is pessary management. This study aimed to to investigate the cost-effectiveness of pessary self-management (SM) when compared with clinic-based care (CBC). A decision analytic model was developed to extend the economic evaluation.

METHODS

A randomized controlled trial with health economic evaluation. The SM group received a 30-minute SM teaching session, information leaflet, 2-week follow-up call, and a local helpline number. The CBC group received routine outpatient pessary appointments, determined by usual practice. The primary outcome for the cost-effectiveness analysis was incremental cost per quality-adjusted life year (QALY), 18 months post-randomization. Uncertainty was handled using nonparametric bootstrap analysis. In addition, a simple decision analytic model was developed using the trial data to extend the analysis over a 5-year period.

RESULTS

There was no significant difference in the mean number of QALYs gained between SM and CBC (1.241 vs 1.221), but mean cost was lower for SM (£578 vs £728). The incremental net benefit estimated at a willingness to pay of £20 000 per QALY gained was £564, with an 80.8% probability of cost-effectiveness. The modeling results were consistent with the trial analysis: the incremental net benefit was estimated as £4221, and the probability of SM being cost-effective at 5 years was 69.7%.

CONCLUSIONS

Results suggest that pessary SM is likely to be cost-effective. The decision analytic model suggests that this result is likely to persist over longer durations.

Extended cost-effectiveness analysis of interventions to improve uptake of diabetes services in South Africa

The rising prevalence of diabetes in South Africa (SA), coupled with significant levels of unmet need for diagnosis and treatment, results in high rates of diabetes-associated complications. Income status is a determinant of utilization of diagnosis and treatment services, with transport costs and loss of wages being key barriers to care. A conditional cash transfer (CCT) programme, targeted to compensate for such costs, may improve service utilization. We applied extended cost-effectiveness analysis (ECEA) methods and used a Markov model to compare the costs, health benefits and financial risk protection (FRP) attributes of a CCT programme. A population was simulated, drawing from SA-specific data, which transitioned yearly through various health states, based on specific probabilities obtained from local data, over a 45-year time horizon. Costs and disability-adjusted life years (DALYs) were applied to each health state. Three CCT programme strategies were simulated and compared to a 'no programme' scenario: (1) covering diagnosis services only; (2) covering treatment services only; (3) covering both diagnosis and treatment services. Cost-effectiveness was reported as incremental net monetary benefit (INMB) using a cost-effectiveness threshold of USD3015 per DALY for SA, while FRP outcomes were reported as catastrophic health expenditure (CHE) cases averted. Distributions of the outcomes were reported by income quintile and sex. Covering both diagnosis and treatment services for the bottom two quintiles resulted in the greatest INMB (USD22 per person) and the greatest CHE cases averted. There were greater FRP benefits for women compared to men. A CCT programme covering diabetes diagnosis and treatment services was found to be cost-effective, when provided to the poorest 40% of the SA population. ECEA provides a useful platform for including equity considerations to inform priority setting and implementation policies in SA.

Cost-Effectiveness Analysis of Nivolumab Plus Ipilimumab Combination Therapy as First-line Treatment for Advanced Renal Cell Carcinoma in Japan

OBJECTIVES

The purpose of this study is to examine the cost-effectiveness of nivolumab (NIVO) plus ipilimumab (IPI) combination therapy (NIVO + IPI) compared with the sunitinib (SUN) therapy for Japanese patients with advanced renal cell carcinoma from the perspective of a Japanese health insurance payer.

METHODS

A lifetime horizon was applied, and 2% per annum was set as the discount rate. The threshold was set as $ 75 000 per quality-adjusted life-year (QALY) gained. For the analytical method, we used a partitioned survival analysis model to estimate the incremental cost-effectiveness ratio (ICER), which is calculated by dividing incremental costs by incremental QALYs. Progression-free survival, progressive disease, and death were set as health states. Additionally, cost parameters and utility weights were set as key parameters. We set the intermediate/poor-risk population as the base case. Scenario analysis was conducted for the intention-to-treat population and the favorable risk population. Furthermore, one-way sensitivity analysis and probabilistic sensitivity analysis were conducted for each population.

RESULTS

In the base-case analysis, the QALYs of NIVO + IPI and SUN were 4.32 and 2.99, respectively. NIVO + IPI conferred 1.34 additional QALYs. Meanwhile, the total costs in the NIVO + IPI and SUN were $692 288 and $475 481, respectively. As a result, the ICER of NIVO + IPI compared with SUN was estimated to be $162 243 per QALY gained. The parameter that greatly affected the ICER was the utility weight of progression-free survival in NIVO + IPI.

CONCLUSIONS

NIVO + IPI for advanced renal cell carcinoma seems to be not cost-effective compared with the SUN in the Japanese healthcare system.

Identifying the Optimum Strategy for Identifying Adults and Children With Celiac Disease: A Cost-Effectiveness and Value of Information Analysis

OBJECTIVES

Celiac disease (CD) is thought to affect around 1% of people in the United Kingdom, but only approximately 30% are diagnosed. The aim of this work was to assess the cost-effectiveness of strategies for identifying adults and children with CD in terms of who to test and which tests to use.

METHODS

A decision tree and Markov model were used to describe testing strategies and model long-term consequences of CD. The analysis compared a selection of pre-test probabilities of CD above which patients should be screened, as well as the use of different serological tests, with or without genetic testing. Value of information analysis was used to prioritize parameters for future research.

RESULTS

Using serological testing alone in adults, immunoglobulin A (IgA) tissue transglutaminase (tTG) at a 1% pre-test probability (equivalent to population screening) was most cost-effective. If combining serological testing with genetic testing, human leukocyte antigen combined with IgA tTG at a 5% pre-test probability was most cost-effective. In children, the most cost-effective strategy was a 10% pre-test probability with human leukocyte antigen plus IgA tTG. Value of information analysis highlighted the probability of late diagnosis of CD and the accuracy of serological tests as important parameters. The analysis also suggested prioritizing research in adult women over adult men or children.

CONCLUSIONS

For adults, these cost-effectiveness results suggest UK National Screening Committee Criteria for population-based screening for CD should be explored. Substantial uncertainty in the results indicate a high value in conducting further research.

Cost-Utility Analysis of Continuous Positive Airway Pressure Therapy Compared With Usual Care for Obstructive Sleep Apnea in the Public Health System in Brazil

OBJECTIVES

This study aimed to conduct a cost-utility analysis of continuous positive airway pressure (CPAP) therapy compared with usual care as treatment of moderate to severe cases of obstructive sleep apnea (OSA) in Brazil, where decentralized policies of CPAP provision are in place.

METHODS

Markov cohort model comparing CPAP therapy with usual care, that is, no specific treatment for OSA, for moderate to severe cases was used. The payer perspective from the Unified Health System, Brazil, was adopted. Effectiveness parameters and costs related to health states were informed by literature review. Resource use related to CPAP therapy was defined by specialists and costs informed by recent purchase and leasing contracts. Incremental cost-effectiveness ratios were generated for purchase and leasing contracts to reflect current practices. A conservative willingness-to-pay threshold was set at 1 gross domestic product per capita per quality-adjusted life-year (QALY) (Brazilian reais [BRL] 40 712/QALY). Uncertainties were explored in deterministic and probabilistic sensitivity analyses.

RESULTS

Incremental cost-effectiveness ratio for the purchase modality was 8303 BRL/QALY and for leasing 45 192 BRL/QALY. Considering the adopted willingness-to-pay threshold, provision of CPAP by the purchase modality was considered cost-effective but not the leasing modality. The parameter related to the greatest uncertainty was the reduction in the risk of having a stroke attributable to CPAP. Probabilistic analysis confirmed the robustness of results.

CONCLUSIONS

CPAP therapy is a cost-effective alternative compared with usual care for moderate to severe OSA for the purchase modality. These results should help underpinning the decision making related to a uniform policy of CPAP provision across the country.

Cost-Effectiveness of Onasemnogene Abeparvovec Compared With Nusinersen and Risdiplam in Patients With Spinal Muscular Atrophy Type 1 in Brazil: Custo-Efetividade do Onasemnogeno Abeparvoveque (AVXS-101) em Comparação ao Nusinersena e Risdiplam em Pacientes com Atrofia Muscular Espinhal Tipo 1 no Brasil

OBJECTIVES

This study aimed to evaluate the cost-effectiveness of the onasemnogene abeparvovec in relation to nusinersen and risdiplam in the treatment of spinal muscular atrophy type 1 from the perspective of the Brazilian Unified Health System.

METHODS

A Markov model was built on a lifetime horizon. Short-term data were obtained from clinical trials of the technologies and from published cohort survival curves (long term). Costs were measured in current 2022 local currency (R$) values and benefits in quality-adjusted life-years (QALYs). Utility values were derived from type 1 spinal muscular atrophy literature, whereas costs related to technologies and maintenance care in each health state were obtained from official sources of reimbursement in Brazil. Deterministic and probabilistic, as well as scenario, sensitivity analyses were performed.

RESULTS

Compared with the less costly strategy (nusinersen), the use of onasemnogene abeparvovec resulted in an incremental cost of R$2.468.448,06 ($975 671.169 - purchasing power parity [PPP]) and a 3-QALY increment and incremental cost-effectiveness ratio of R$742.890,92 ($293 632.774 - PPP)/QALY. Risdiplam had an extended dominance from other strategies, resulting in an incremental cost-effectiveness ratio of R$926.586,22 ($366 239.612 - PPP)/QALY compared with nusinersen. Sensitivity analysis showed a significant impact of the follow-up time of the cohort and the cost of acquiring onasemnogene abeparvovec.

CONCLUSIONS

Over a lifetime horizon, onasemnogene abeparvovec seems to be a potentially more effective option than nusinersen and risdiplam, albeit with an incremental cost. Such a trade-off should be weighed in efficiency criteria during decision making and outcome monitoring from the perspective of the Brazilian Unified Health System.