The impact of willingness-to-pay threshold on price reduction recommendations for oncology drugs: a review of assessments conducted by the Canadian Agency for Drugs and Technologies in Health.

Since late 2020, the Canadian Agency of Drugs and Technologies in Health (CADTH) has been using a threshold of $50,000 (CAD) per quality-adjusted life-year (QALY) for both oncology and non-oncology drugs. When used for oncology products, this threshold is hypothesized to have a higher impact on the time to access these drugs in Canada. We studied the impact of price reductions on time to engagement and negotiation with the pan-Canadian Pharmaceutical Alliance for oncology drugs reviewed by CADTH between January 2020 and December 2022. Overall, 103 assessments reported data on price reductions recommended by CADTH to meet the cost-effectiveness threshold for reimbursement. Of these assessments, 57% (59/103) recommendations included a price reduction of greater than 70% off the list price. Eight percent (8/103) were not cost-effective even at a 100% price reduction. Of the 47 assessments that had a clear benefit, in 21 (45%) CADTH recommended a price reduction of at least 70%. The median time to price negotiation (not including time to engagement) for assessments that received at least 70% vs >70% price reduction was 2.6 vs 4.8 months. This study showed that there is a divergence between drug sponsor's incremental cost-effectiveness ratio (ICER) and CADTH revised ICER leading to a price reduction to meet the $50,000/QALY threshold. For the submissions with clear clinical benefit the median length of engagement (2.5 vs 3.3 months) and median length of negotiation (3.1 vs 3.6 months) were slightly shorter compared with the submissions where uncertainties were noted in the clinical benefit according to CADTH. This study shows that using a $50,000 per QALY threshold for oncology products potentially impacts timely access to life saving medications.

The Use of Cost-Effectiveness Thresholds for Evaluating Health Interventions in Low- and Middle-Income Countries From 2015 to 2020: A Review.

OBJECTIVES: Evidence-informed priority setting, in particular cost-effectiveness analysis (CEA), can help target resources better to achieve universal health coverage. Central to the application of CEA is the use of a cost-effectiveness threshold. We add to the literature by looking at what thresholds have been used in published CEA and the proportion of interventions found to be cost-effective, by type of threshold. METHODS: We identified CEA studies in low- and middle-income countries from the Global Health Cost-Effectiveness Analysis Registry that were published between January 1, 2015, and January 6, 2020. We extracted data on the country of focus, type of interventions under consideration, funder, threshold used, and recommendations. RESULTS: A total of 230 studies with a total 713 interventions were included in this review; 1 to 3× gross domestic product (GDP) per capita was the most common type of threshold used in judging cost-effectiveness (84.3%). Approximately a third of studies (34.2%) using 1 to 3× GDP per capita applied a threshold at 3× GDP per capita. We have found that no study used locally developed thresholds. We found that 79.3% of interventions received a recommendation as "cost-effective" and that 85.9% of studies had at least 1 intervention that was considered cost-effective. The use of 1 to 3× GDP per capita led to a higher proportion of study interventions being judged as cost-effective compared with other types of thresholds. CONCLUSIONS: Despite the wide concerns about the use of 1 to 3× GDP per capita, this threshold is still widely used in the literature. Using this threshold leads to more interventions being recommended as "cost-effective." This study further explore alternatives to the 1 to 3× GDP as a decision rule.

Key Considerations in the Health Technology Assessment of Advanced Therapy Medicinal Products in Scotland, The Netherlands, and England.

OBJECTIVES: Advanced therapy medicinal products (ATMPs) are highly innovative therapies. Their costs and uncertain value claims have raised concerns among health technology assessment (HTA) bodies and payers. Little is known about how underlying considerations in HTA of ATMPs shape assessment and reimbursement recommendations. We aim to identify and assess key considerations that played a role in HTA of ATMPs underlying reimbursement recommendations. METHODS: A review of HTA reports was conducted of all authorized ATMPs in Scotland, The Netherlands, and England. Considerations were extracted and categorized into EUnetHTA Core Model domains. Per jurisdiction, considerations were aggregated and key considerations identified (defined as occurring in >1/assessment per jurisdiction). A narrative analysis was conducted comparing key considerations between jurisdictions and different reimbursement recommendations. RESULTS: We identified 15 ATMPs and 18 HTA reports. In The Netherlands and England most key considerations were identified in clinical effectiveness (EFF) and cost- and economic effectiveness (ECO) domains. In Scotland, the social aspects domain yielded most key considerations, followed by ECO and EFF. More uncertainty in evidence and assessment outcomes was accepted when orphan or end-of-life criteria were applied. A higher percentage of considerations supporting recommendations were identified for products with positive recommendations compared with restricted and negative recommendations. CONCLUSIONS: This is the first empirical review of HTA's using the EUnetHTA Core Model to identify and structure key considerations retrospectively. It provides insights in supporting and opposing considerations for reimbursement of individual products and differences between jurisdictions. Besides the EFF and ECO domain, the social, ethical, and legal domains seem to bear considerable weight in assessment of ATMPs.

Assessing Payers' Preferences for Real-World Evidence in the United States: A Discrete Choice Experiment.

OBJECTIVES: To rank the US payers' preferences for attributes of real-world evidence (RWE) studies in the context of chronic disease and to quantify trade-offs among them. METHODS: We conducted a discrete choice experiment in which 180 employees from payer organizations were tasked to choose between 2 RWE studies assuming they were assessing evidence to inform formulary decisions for chronic disease treatment. Each RWE study was characterized by 7 attributes with 3 levels each: very informative, moderately informative, and not measured. We used a D-optimal main-effects design. Survey data were fitted to a conditional logit model to obtain a relative measure of the ranking of importance for each attribute. RESULTS: Clinical outcomes were the most preferred attribute. It was 4.68 times as important as productivity outcomes-the least preferred attribute. It was followed by health-related quality of life (2.78), methodologic rigor (2.09), resource utilization (1.71), and external validity (1.56). CONCLUSIONS: This study provides a quantification of the value payers place on key RWE attributes. Across attributes, payers have higher preferences for clinical and health-related quality of life outcomes than the other attributes. Between attributes' levels, payers prefer high levels of information in clinical outcomes and methodologic rigor but are indifferent in other attributes. Our results bridge the gap between the information that payers seek and the attributes that RWE studies prioritize and effectively guide future research design.

Investigating 5-Level EQ-5D (EQ-5D-5L) Values Based on Preferences of Patients With Heart Disease.

OBJECTIVES: Several studies have shown that patients with heart disease value hypothetical health states differently from the general population. We aimed to investigate the health preferences of patients with heart disease and develop a value set for the 5-level EQ-5D (EQ-5D-5L) based on these patient preferences. METHODS: Patients with confirmed heart disease were recruited from 2 hospitals in Singapore. A total of 86 EQ-5D-5L health states (10 per patient) were valued using a composite time trade-off method according to the international valuation protocol for EQ-5D-5L; 20-parameter linear models and 8-parameter cross-attribute level effects models with and without an N45 term (indicating whether any health state dimension at level 4 or 5 existed) were estimated. Each model included patient-specific random intercepts. Model performance was evaluated for out-of-sample and in-sample predictive accuracy in terms of root mean square error. The discriminative ability of the utility values was assessed using heart disease-related functional classes. RESULTS: A total of 576 patients were included in the analysis. The preferred model, with the lowest out-of-sample root mean square error, was a 20-parameter linear model including N45. Predicted utility values ranged from -0.727 for the worst state to 1 for full health; the value for the second-best state was 0.981. Utility values demonstrated good discriminative ability in differentiating among patients of varied functional classes. CONCLUSIONS: An EQ-5D-5L value set representing the preferences of patients with heart disease was developed. The value set could be used for patient-centric economic evaluation and health-related quality of life assessment for patients with heart disease.

Several explorations on how to construct an early warning system for local government debt risk in China.

This paper aims to explore several ways to construct a scientific and comprehensive early warning system (EWS) for local government debt risk in China. In order to achieve this goal, this paper studies the local government debt risk from multiple perspectives, i.e., individual risk, contagion risk, static risk and dynamic risk. Firstly, taking China's 30 provinces over the period of 2010~ 2018 as a sample, this paper establishes early warning indicators for individual risk of local government debt, and uses the network model to establish early warning indicators for contagion risk of local government debt. Then, this paper applies the criteria importance though intercrieria correlation (CRITIC) method and coefficient of variation method to obtain the proxy variable Ⅰ, which combines the above two risks. Secondly, based on the proxy variable Ⅰ, both the Markov-switching autoregressive (MS-AR) model and coefficient of variation method are used to obtain the proxy variable Ⅱ, which comprehensively considers the individual risk, contagion risk, static risk and dynamic risk of local government debt. Finally, machine learning algorithms are adopted to generalize the EWS designed in this paper. The results show that: (1) From different perspectives of local government debt risk, the list of provinces that require early warning is different; (2) The support vector machines can well generalize our EWS.

Proportional-assist ventilation with load-adjustable gain factors for mechanical ventilation: a cost-utility analysis.

BACKGROUND: Mechanical ventilation is an important component of patient critical care, but it adds expense to an already high-cost setting. This study evaluates the cost-utility of 2 modes of ventilation: proportional-assist ventilation with load-adjustable gain factors (PAV+ mode) versus pressure-support ventilation (PSV). METHODS: We adapted a published Markov model to the Canadian hospital-payer perspective with a 1-year time horizon. The patient population modelled includes all patients receiving invasive mechanical ventilation who have completed the acute phase of ventilatory support and have entered the recovery phase. Clinical and cost inputs were informed by a structured literature review, with the comparative effectiveness of PAV+ mode estimated via pragmatic meta-analysis. Primary outcomes of interest were costs, quality-adjusted life years (QALYs) and the (incremental) cost per QALY for patients receiving mechanical ventilation. Results were reported in 2017 Canadian dollars. We conducted probabilistic and scenario analyses to assess model uncertainty. RESULTS: Over 1 year, PSV had costs of $50 951 and accrued 0.25 QALYs. Use of PAV+ mode was associated with care costs of $43 309 and 0.29 QALYs. Compared to PSV, PAV+ mode was considered likely to be cost-effective, having lower costs (-$7642) and increased QALYs (+0.04) after 1 year. In cost-effectiveness acceptability analysis, 100% of simulations would be cost-effective at a willingness-to-pay threshold of $50 000 per QALY gained. INTERPRETATION: Use of PAV+ mode is expected to benefit patient care in the intensive care unit (ICU) and be a cost-effective alternative to PSV in the Canadian setting. Canadian hospital payers may therefore consider how best to optimally deliver mechanical ventilation in the ICU as they expand ICU capacity.

Methodologic and Reporting Quality of Economic Evaluations in Hand and Wrist Surgery: A Systematic Review.

BACKGROUND: Economic evaluations can inform decision-making; however, previous publications have identified poor quality of economic evaluations in surgical specialties. METHODS: Study periods were from January 1, 2006, to April 20, 2020 (methodologic quality) and January 1, 2014, to April 20, 2020 (reporting quality). Primary outcomes were methodologic quality [Guidelines for Authors and Peer Reviewers of Economic Submissions to The BMJ (Drummond's checklist), 33 points; Quality of Health Economic Studies (QHES), 100 points; Consensus on Health Economic Criteria (CHEC), 19 points] and reporting quality (Consolidated Health Economic Evaluation Standards (CHEERS) statement, 24 points). RESULTS: Forty-seven hand economic evaluations were included. Partial economic analyses (i.e., cost analysis) were the most common (n = 34; 72 percent). Average scores of full economic evaluations (i.e., cost-utility analysis and cost-effectiveness analysis) were: Drummond's checklist, 27.08 of 33 (82.05 percent); QHES, 79.76 of 100 (79.76 percent); CHEC, 15.54 of 19 (81.78 percent); and CHEERS, 20.25 of 24 (84.38 percent). Cost utility analyses had the highest methodologic and reporting quality scores: Drummond's checklist, 28.89 of 35 (82.54 percent); QHES, 86.56 of 100 (86.56 percent); CHEC, 16.78 of 19 (88.30 percent); and CHEERS, 20.8 of 24 (86.67 percent). The association (multiple R) between CHEC and CHEERS was strongest: CHEC, 0.953; Drummond's checklist, 0.907; and QHES, 0.909. CONCLUSIONS: Partial economic evaluations in hand surgery are prevalent but not very useful. The Consensus on Health Economic Criteria and Consolidated Health Economic Evaluation Standards should be used in tandem when undertaking and evaluating economic evaluation in hand surgery.

Evaluating the cost-effectiveness of a pre-exposure prophylaxis program for HIV prevention for men who have sex with men in Japan.

Men who have sex with men (MSM) have been disproportionally affected by the HIV epidemic in many countries, including Japan. Although pre-exposure prophylaxis (PrEP) is a strong prevention tool, it is not yet approved in Japan. A Markov model was developed to describe HIV infection and disease progression in an MSM cohort (N = 1000) in Japan receiving a PrEP program. The model was used to evaluate the cost-effectiveness of a PrEP program. HIV/AIDS treatment, screening, hospitalization due to AIDS, and PrEP were considered as costs and quality-adjusted life-years (QALYs) gained as utilities. Cost-effectiveness was assessed by comparing the incremental cost-effectiveness ratio (ICER) over a 30-year period against the willingness to pay (WTP) threshold. One-way sensitivity and probabilistic sensitivity analyses were performed. With 50% PrEP coverage, the PrEP program became dominant against the program without PrEP, using a threshold of 5.0 million JPY/QALY (45,455 USD). The probabilistic sensitivity analysis revealed that the PrEP program was dominant or at least cost-effective in most cases of 10,000 simulations. Therefore, preparing cheaper PrEP pills, which results in PrEP being dominant or ICER being lower than the WTP threshold, is important to make the program cost-effective. Introduction of PrEP to an MSM cohort in Japan would be cost-effective over a 30-year time horizon.

Development of the simulation-based German albuminuria screening model (S-GASM) for estimating the cost-effectiveness of albuminuria screening in Germany.

BACKGROUND: Chronic kidney disease is often asymptomatic in its early stages but constitutes a severe burden for patients and causes major healthcare systems costs worldwide. While models for assessing the cost-effectiveness of screening were proposed in the past, they often presented only a limited view. This study aimed to develop a simulation-based German Albuminuria Screening Model (S-GASM) and present some initial applications. METHODS: The model consists of an individual-based simulation of disease progression, considering age, gender, body mass index, systolic blood pressure, diabetes, albuminuria, glomerular filtration rate, and quality of life, furthermore, costs of testing, therapy, and renal replacement therapy with parameters based on published evidence. Selected screening scenarios were compared in a cost-effectiveness analysis. RESULTS: Compared to no testing, a simulation of 10 million individuals with a current age distribution of the adult German population and a follow-up until death or the age of 90 shows that a testing of all individuals with diabetes every two years leads to a reduction of the lifetime prevalence of renal replacement therapy from 2.5% to 2.3%. The undiscounted costs of this intervention would be 1164.10 € / QALY (quality-adjusted life year). Considering saved costs for renal replacement therapy, the overall undiscounted costs would be-12581.95 € / QALY. Testing all individuals with diabetes or hypertension and screening the general population reduced the lifetime prevalence even further (to 2.2% and 1.8%, respectively). Both scenarios were cost-saving (undiscounted, - 7127.10 €/QALY and-5439.23 €/QALY). CONCLUSIONS: The S-GASM can be used for the comparison of various albuminuria testing strategies. The exemplary analysis demonstrates cost savings through albuminuria testing for individuals with diabetes, diabetes or hypertension, and for population-wide screening.

Comparing Modeling Approaches for Discrete Event Simulations With Competing Risks Based on Censored Individual Patient Data: A Simulation Study and Illustration in Colorectal Cancer.

OBJECTIVES: This study aimed to provide detailed guidance on modeling approaches for implementing competing events in discrete event simulations based on censored individual patient data (IPD). METHODS: The event-specific distributions (ESDs) approach sampled times from event-specific time-to-event distributions and simulated the first event to occur. The unimodal distribution and regression approach sampled a time from a combined unimodal time-to-event distribution, representing all events, and used a (multinomial) logistic regression model to select the event to be simulated. A simulation study assessed performance in terms of relative absolute event incidence difference and relative entropy of time-to-event distributions for different types and levels of right censoring, numbers of events, distribution overlap, and sample sizes. Differences in cost-effectiveness estimates were illustrated in a colorectal cancer case study. RESULTS: Increased levels of censoring negatively affected the modeling approaches' performance. A lower number of competing events and higher overlap of distributions improved performance. When IPD were censored at random times, ESD performed best. When censoring occurred owing to a maximum follow-up time for 2 events, ESD performed better for a low level of censoring (ie, 10%). For 3 or 4 competing events, ESD better represented the probabilities of events, whereas unimodal distribution and regression better represented the time to events. Differences in cost-effectiveness estimates, both compared with no censoring and between approaches, increased with increasing censoring levels. CONCLUSIONS: Modelers should be aware of the different modeling approaches available and that selection between approaches may be informed by data characteristics. Performing and reporting extensive validation efforts remains essential to ensure IPD are appropriately represented.

The ICEpop Capability Measure for Adults Instrument for Capabilities: Development of a Tariff for the Dutch General Population.

OBJECTIVES: The ICEpop Capability Measure for Adults (ICECAP-A) assesses 5 capabilities (stability, attachment, autonomy, achievement, and enjoyment) that are important to one's quality of life and might be an important addition to generic health questionnaires currently used in economic evaluations. This study aimed to develop a Dutch tariff of the Dutch translation of the ICECAP-A. METHODS: The methods used are similar to those used in the development of the UK tariff. A profile case best-worst scaling task was presented to 1002 participants from the general Dutch population. A scale-adjusted latent class analysis was performed to test for preferences of ICECAP-A capabilities and scale heterogeneity. RESULTS: A 3-preference class 2-scale class model with worst choice as scale predictor was considered optimal and was used to calculate the resulting tariff. Results indicated that the capabilities stability, attachment, and enjoyment were considered more important aspects of quality of life than autonomy and achievement. Additionally, improving capabilities from low to moderate levels had a larger effect on quality of life than improving capabilities that were already at a higher level. CONCLUSIONS: The ICECAP-A tariffs found in this study could be used in economic evaluations of healthcare interventions in The Netherlands.

Costing methodologies in European economic evaluation guidelines: commonalities and divergences.

From both the methodological point of view and standardization of methodology, little attention has been paid to the estimation of direct costs in evaluation of healthcare technologies. The objective is to revise the recommendations on direct costs provided in European economic evaluation guidelines and to identify the commonalities and divergences among them. To achieve this, a comprehensive search through several online databases was performed resulting in 41 documents from 26 European countries, be they economic evaluation guidelines or costing guidelines. The results show a large disparity in methodologies used in estimation of direct costs to be included in economic evaluations of health technologies recommended by European countries. A lack of standardization of cost estimation methodologies influences arbitrariness in selecting costs of resources included in economic evaluations of medicinal products or any other technologies and, therefore, in decision making process necessary to introduce new technology. In addition, this heterogeneity poses a major challenge for identifying factors that could affect the variability of unit costs across countries.

Value in acute care surgery, Part 1: Methods of quantifying cost.

BACKGROUND: With health care expenditures continuing to increase rapidly, the need to understand and provide value has become more important than ever. In order to determine the value of care, the ability to accurately measure cost is essential. The acute care surgeon leader is an integral part of driving improvement by engaging in value increasing discussions. Different approaches to quantifying cost exist depending on the purpose of the analysis and available resources. Cost analysis methods range from detailed microcosting and time-driven activity-based costing to less complex gross and expenditure-based approaches. An overview of these methods and a practical approach to costing based on the needs of the acute care surgeon leader is presented.

Imaging of Patients Suspected of SLAP Tear: A Cost-Effectiveness Study.

BACKGROUND. Superior labrum anterior and posterior (SLAP) tears are a common shoulder pathology. Although MRI is the imaging reference standard for diagnosis of this pathology, the cost-effectiveness of common MRI strategies is unclear. OBJECTIVE. The primary objective of our study was to determine the cost-effectiveness of the common MRI-based strategies used for the diagnosis of SLAP tears. METHODS. We created decision analytic models from the perspective of the U.S. health care system over a 2-year time horizon for a hypothetical population of 25-year-old patients with a previous diagnosis of SLAP tear. We used the decision models to compare the differences in incremental cost-effectiveness of the common MRI strategies, which included combinations of 1.5-T and 3-T MR arthrography (MRA) and unenhanced MRI protocols, and the resulting treatment applied for these patients. Input data on cost, probability, and utility estimates were obtained through a comprehensive literature search. The primary effectiveness outcome was quality-adjusted life years. Costs were estimated in 2017 U.S. dollars. RESULTS. When all imaging strategies were considered, the unenhanced 3-T MRI-based imaging strategy was the preferred and dominant option over 3-T MRA and 1.5-T imaging (MRI and MRA). When the model was run without 3-T imaging as an option, 1.5-T MRA was the favored option. Probabilistic sensitivity analyses confirmed the same preferred imaging strategy results. CONCLUSION. An unenhanced 3-T MRI-based strategy is the most cost-effective imaging option for patients with suspected SLAP tear. When 3-T imaging is not available, 1.5-T MRA is more cost-effective than 1.5-T MRI. The main driver of these results is the fact that 3-T MRI and 1.5-T MRA are the most specific tests in these respective scenarios, which results in fewer false-positives, prevents unnecessary surgeries, and leads to decreased costs. CLINICAL IMPACT. Our cost-effectiveness model findings complement prior diagnostic accuracy work, helping produce a more comprehensive approach to define imaging utility for radiologists, clinicians, and patients with SLAP tears who have access to various types of MRI options.

A comparison of six approaches for measuring utility values among patients with locally advanced cervical cancer.

BACKGROUND: Several instruments are available to measure health utility values. However, limited studies have not yet comprehensively assessed the agreement among these instruments. This study therefore aimed to investigate the performance and agreement of six instruments for utility measures: EQ-5D-3L, EQ-5D-5L (cTTO model), EQ-5D-5L (DCE model), EQ-5D-5L (Hybrid model), TTO, and VAS, among locally advanced cervical cancer (LACC) patients in Thailand. METHODS: We compared utility scores derived from six approaches using Friedman's test. We also assessed the agreement of utility scores between each pairwise comparison by intraclass correlation coefficient (ICC) and Bland-Altman plot. RESULTS: The mean (SD) utility values derived from six approaches were as follows: 0.755 ± 0.248 (EQ-5D-3L), 0.801 ± 280 (TTO), 0.806 ± 0.156 (VAS), 0.871 ± 0.184 (cTTO model), 0.875 ± 0.168 (Hybrid model), and 0.900 ± 0.142 (DCE model). Significant differences across six approaches were found in Friedman's test. The ICC showed high agreement between EQ-5D-5L and EQ-5D-3L, and very high agreement between all three models of EQ-5D-5L. The Bland-Altman plots showed wide limit of agreement, except the pairwise comparison, between each model of the EQ-5D-5L. CONCLUSION: TTO, VAS, EQ-5D-3L and EQ-5D-5L could not be used interchangeably in LACC patients. The impact of using different instruments on economic evaluation findings warrants further investigation.

COST ANALYSIS OF SCLERAL BUCKLE, PARS PLANA VITRECTOMY, AND PARS PLANA VITRECTOMY WITH SCLERAL BUCKLE FOR RETINAL DETACHMENT REPAIR.

PURPOSE: To compare the cost and utility of scleral buckle (SB), pars plana vitrectomy (PPV), and PPV with SB (PPV/SB) for moderately complex rhegmatogenous retinal detachment repair. METHODS: Cost-utility analysis using data from the Primary Retinal Detachment Outcomes Study. The model estimated costs, lifetime utility, and lifetime cost per quality-adjusted life year for treatment of moderately complex rhegmatogenous retinal detachment with SB, PPV, or PPV/SB. Data from the Centers for Medicare and Medicaid Services were used to calculate costs in hospital and ambulatory surgery center settings. RESULTS: Total costs (2020 US dollars) for repair of a moderately complex rhegmatogenous retinal detachment in hospital (ambulatory surgery center) settings were $5,975 ($3,774) for the SB group, $8,125 ($5,082) for the PPV group, and $7,551 ($4,713) for the PPV/SB group. The estimated lifetime quality-adjusted life years gained were 5.4, 4.7, and 4.7 in the SB, PPV, and PPV/SB groups, respectively. The cost per quality-adjusted life year for hospital and ambulatory surgery center settings was $1,106 a ($699) for the SB group, $1729 ($1,081) for the PPV group, and $1,607 ($1,003) for the PPV/SB group. CONCLUSION: Scleral buckle, PPV, and PPV/SB yielded very favorable cost-utility results for the repair of moderately complex rhegmatogenous retinal detachment, with slightly better results for SB, compared with current willingness to pay standards.

Ultrasound-Guided Injection Treatments Versus Surgical Neurectomy for Morton Neuroma: A Cost-Effectiveness Analysis.

BACKGROUND. Morton neuroma is a common, painful disorder of the foot with multiple treatment options of varying cost and effectiveness. OBJECTIVE. The aim of this study was to determine the most cost-effective treatment pathway for symptomatic Morton neuromas when conservative management has failed. METHODS. An incremental cost-utility analysis was performed comparing a direct to surgical neurectomy strategy with three selective injection strategies in which one or more ultrasound-guided injection therapies was tried first before surgery for patients who did not respond to treatment. The three selective injection strategies were selective steroid injection, selective alcohol injection, and selective steroid/alcohol injection in which both steroid injections and alcohol sclerosing injections were trialed successively before surgical neurectomy. The direct-to-surgery approach was compared with the three different selective injection strategies and with a no-treatment strategy in a decision-analytic model for a hypothetical group of patients with symptomatic Morton neuroma in whom conservative management had failed. Model parameters, including treatment costs, effectiveness, complication rates, and health utility states, were estimated from the literature, reimbursement databases, and expert opinion. The outcome was cost per quality-adjusted life year (QALY) with a time horizon of 3 years. A societal cost perspective was adopted with a willingness-to-pay threshold of $100,000/QALY. Sensitivity analyses for key model parameters were performed. RESULTS. For the base input values, the steroid/alcohol selective injection strategy was dominant and yielded an incremental cost-effectiveness ratio of $4401.61/QALY compared with no treatment. The probabilistic sensitivity analysis supported this strategy in 74% of 10,000 simulated trials. Results were robust with low sensitivity to most input parameters. However, when the probability of successful alcohol injection treatment dropped below 40%, the steroid selective injection strategy became most cost-effective. CONCLUSION. A trial of ultrasound-guided injection therapies for Morton neuroma is a cost-effective strategy compared with proceeding directly to surgical neurectomy. CLINICAL IMPACT. Ultrasound-guided injection therapies are indicated as first-line treatment of patients with symptomatic Morton neuromas when conservative management fails.

Estimation of cost efficiency of fattening pigs, sows, and piglets using SFA approach analysis: Evidence from China.

The hog industry is the core industry in the field of agriculture and animal husbandry in China, which development is related to the improvement of people's quality of life. The production of the hog industry has been restricted by environmental regulations, which needs to reduce costs and improve efficiency. Based on the data of 29 provinces from 2008 to 2019, this paper aims to use the stochastic frontier analysis method to calculate the cost efficiency of fattening pigs, sows, and piglets in three stages of pig production and focuses on the impact of environmental regulation policies on cost efficiency. The study found that the cost efficiency of fattening pigs, sows, and piglets in China were 0.77, 0.79, and 0.53, respectively, and the efficiency losses were 23%, 21%, and 47%, respectively. The impact of environmental regulation policies on the cost efficiency of fattening pigs showed an ' N ' trend, and the impact on the cost efficiency of sows and piglets showed an inverted ' N ' trend. For fattening pigs, increasing the intensity of environmental regulation, and exceeding the second inflection point of the ' N ' curve can achieve the dual goals of environmental governance and cost reduction and efficiency increase. For sows, reducing the intensity of environmental regulation appropriately can avoid cost-efficiency loss. For piglets, environmental regulation policies have not effectively incentives the cost efficiency of piglets. In addition, raising the level of technology investment in fattening pigs and sows can achieve cost efficiency gains, and can farmers use emerging financial product tools such as ' insurance + futures ' to avoid market risks and efficiency losses.