Applied Health Economics and Health Policy最新文献

Objectives

The UK has recently established subscription-payment agreements for two antimicrobials: cefiderocol and ceftazidime-avibactam. This article summarises the novel value assessments that informed this process and lessons learned for future pricing and funding decisions.

Methods

The evaluations used decision modelling to predict population incremental net health effects (INHEs), informed by systematic reviews, evidence syntheses, national surveillance data and structured expert elicitation.

Results

Significant challenges faced during the development of the evaluations led to profound uncertainty in the estimates of INHEs. The value assessment required definition of the population expected to receive the new antimicrobials; estimating value within this heterogenous population; assessing comparative efficacy using antimicrobial susceptibility data due to the absence of relevant clinical data; and predicting population-level benefits despite poor data on current numbers of drug-resistant infections and uncertainties around emerging resistance. Though both antimicrobials offer the potential to treat multi-drug resistant infections, the benefits estimated were modest due to the rarity of true pan-resistance, low life expectancy of the patient population and difficulty of identifying and quantifying additional sources of value.

Conclusions

Assessing the population INHEs of new antimicrobials was complex and resource intensive. Future evaluations should continue to assemble evidence relating to areas of expected usage, patient numbers over time and comparative effectiveness and safety. Projections of patient numbers could be greatly enhanced by the development of national level linked clinical, prescribing and laboratory data. A practical approach to synthesising these data would be to combine expert assessments of key parameters with a simple generic decision model.

Background

The majority of cost-effectiveness analyses of pharmaceuticals do not incorporate future price changes that are expected once generic competition enters the market. A common rationale for not doing so is the uncertainty around what postloss of exclusivity price to model. The objective of this study is to assess if a drug’s price postloss of exclusivity can be estimated on the basis of its cost of goods sold (COGS).

Methods

First, stakeholders were engaged to understand pricing practices for generic drugs. Then peer-reviewed literature, gray literature, and manufacturer financial statements were reviewed to estimate the typical manufacturer profit margin over COGS. Using pricing data from the Mark Cuban CostPlus Drug Company (MCCPDC), estimates of COGS were calculated by drug form. Finally, a COGS-based approach to estimating a drug’s price postloss of exclusivity was tested.

Results

COGS were estimated for 2168 unique National Drug Codes (NDCs) reported in the MCCPDC price list by removing the typical manufacturer profit margin (50%) from the manufacturer prices (net of any markup or fees from the MCCPDC). A tablet/capsule, the most common form in the price list, had a median COGS of $0.10 per tablet/capsule. Estimating a drug’s price postloss of exclusivity as the median COGS for that drug form times two (to reflect a 50% profit margin), produces estimates of postloss of exclusivity prices that account for drug-specific attributes.

Conclusions

This study provides an evidence-based approach to estimate a drug’s price postloss of exclusivity as a function of its COGS for incorporation into cost-effectiveness analyses.

Background

Tanzania recently changed its antenatal care (ANC) guidelines to reduce perinatal mortality and improve the experience of pregnancy care. The new guideline recommends increasing the number of ANC visits from four to eight and introducing one routine ultrasound scan, among other recommendations. We estimated the budget impact of implementing the new guideline compared to the previous focused ANC guideline at public dispensaries and health centers.

Method

In a dynamic Markov model, we prospectively followed annual cohorts of between 2.3 and 2.6 million pregnant women who will be attending ANC at dispensaries and health centers for 5 years. We allowed a population of pregnant women into the model every year and women exit the model at delivery. We calculated the cost of medicines, medical supplies, and laboratory supplies required to produce services from a public health system perspective. Our model neither estimated condition-related costs nor health effects. The budget impact was calculated as the difference in the estimated costs between the two guidelines. We conducted scenario analyses to explore attending more visits and different assumptions to calculate the target population.

Results

We estimated that implementing the new ANC guideline would have a cumulative budget impact of around US$154 million over 5 years. The budget required will increase from US$137 million under the focused ANC guideline to US$291 million under the new guideline. Laboratory supplies will consume 47% of the estimated budget under the new guideline. We expect the annual budget impact to be US$38 million in the first year of implementation and US$32 million in the fifth year. We assumed that by the fifth year, 82% of all pregnant women would have had four or more visits. The budget impact would increase to US$214 million, with the proportion of pregnant women attending four or more ANC visits reaching 90% within 5 years.

Conclusion

Scaling up the implementation of the new ANC guideline at public dispensaries and health centers may substantially increase the supplies required to produce ANC services, particularly laboratory supplies. Studies on the health impact of the new guideline are warranted to estimate the value for money.

Objective

Perinatal depression (PND) has emerged as a significant public health concern. There is no consensus among countries or organizations on whether to screen for PND. Despite the growing body of evidence regarding the economic value of PND screening, its cost-effectiveness remains inadequately understood due to the heterogeneity of existing studies. This study aims to synthesize the available global evidence on the cost-effectiveness of PND screening compared to routine or usual care to provide a clearer understanding of its economic value.

Methods

A detailed search strategy was predetermined to identify peer-reviewed publications that evaluated the cost-effectiveness of PND screening. We designed a scoping literature review protocol and searched electronic databases, including MEDLINE, EMBASE, and Web of Science, for studies published from inception to 10 December 2023. We included studies that conducted full economic evaluations comparing PND screening with usual care or other comparators and excluded studies that were not in English or lacked full texts. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist was used to evaluate the reporting quality of the studies. Then, the data regarding costs and effectiveness were extracted and summarized narratively.

Results

A total of ten eligible studies were included, all of which were evaluated as being of high reporting quality. Nine of these studies compared the economic value of PND screening with usual care without screening, with eight finding that PND screening was generally more cost-effective. The remaining study evaluated the cost-effectiveness of two psychosocial assessment models and indicated that both effectively identified women “at risk”. Across studies, PND screening ranged from being dominant (cheaper and more effective than usual care without screening) to costing USD 17,644 per quality adjusted life year (QALY) gained. Most included studies used decision trees or Markov models to test if PND screening was cost-effective. Although current economic evaluation studies have mostly suggested PND screening could be more cost-effective than usual care without screening, there is high heterogeneity in terms of participants, screening strategies, screening settings, and perspectives across studies.

Conclusions

Despite varied settings and designs, most studies consistently indicate PND screening as cost-effective. Further evidence is also required from low- and middle-income countries (LMIC), non-Western countries, and randomized controlled trials (RCTs) to draw a more robust conclusion.

This paper considers the development and evolution of the short-form 6 dimensions (SF-6D), a generic preference-weighted measure consisting of a health classification with accompanying value set that was developed from one of the widest used health related quality of life measures, the SF-36 health survey. This enabled health state utility values to be directly generated from SF-36 and SF-12 data for a range of purposes, including to produce quality adjusted life years for use in economic evaluation of healthcare interventions across a range of different conditions and treatments. This paper considers the rationale for the development of the measure, the development process, performance and how the SF-6D has evolved since its conception. This includes the development of an updated version, SF-6D version 2 (SF-6Dv2), which was generated to deal with some criticisms of the first version, and now includes a standalone version for inclusion in studies without relying on use of SF-36 or SF-12. Valuation methods have also evolved, from standard gamble in-person interviews to online discrete choice experiment surveys. International work related to the SF-6Dv1 and SF-6Dv2 is considered. We also consider recommendations for use, highlighting key psychometric evidence and reimbursement agency recommendations.

Objectives

Smoking is an important risk factor leading to many diseases, which brings substantial healthcare costs as well as indirect costs due to decreased productivity. This article aims to quantify the social costs of smoking in the Czech Republic in 2019.

Methods

The prevalence-based, cost-of-illness approach is used, which assesses the costs as the sum of direct (healthcare) costs and indirect costs (productivity losses due to mortality and morbidity). The costs of healthcare utilization and pharmacotherapy in direct costs, and the costs of absenteeism, presenteeism, and premature mortality in indirect costs, are included.

Results

Total costs of smoking in the Czech Republic in 2019 are estimated as 2110.6 million EUR (0.94% of GDP). Direct costs amounted to 537.0 million EUR (2.9% of health expenditures in 2019) and indirect costs were 1573.6 million EUR, mainly driven by the costs of premature mortality (1062.5 million EUR).

Conclusions

Despite the declining trend in the prevalence of smoking in the Czech Republic, the associated costs are considerable. Investments into strategies to reduce smoking continue to be needed.

Background

The use of robotic-assisted surgery (RAS) is growing rapidly. However, economic evaluation of this technology is challenging. This study aims to identify and discuss the different economic evaluation methods which have been used to evaluate RAS.

Method

This scoping review systematically searched PubMed and Embase from 2015 to 2023. We included economic evaluation studies comparing RAS versus laparoscopic or open surgery. The Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist was used to aid data extraction and was extended to cover additional features relevant to RAS, including learning curve, organisational impact, incremental innovation and dynamic pricing.

Results

A total of 50 economic evaluations of RAS were included. Cost-utility analysis (46%) was the most commonly applied economic evaluation method, followed by cost-consequence analysis (32%). The studies focused on the specialties of urology (42%), hepato-pancreato-biliary (20%), colorectal (14%) and gynaecology (6%). Distinctive features related to the assessment of RAS were under-addressed in economic evaluations. Only 40% of the included studies considered learning curve and organisational impact and less than 12% of the included studies reflected on incremental innovation and dynamic pricing.

Conclusions

This review found that some studies have incorporated challenges specific to RAS in their evaluations. However, most studies still lack key aspects of importance. In particular, studies rarely considered the ability of RAS platforms to be shared across multiple specialities. Incorporating these distinctive features offers an opportunity for economic evaluation to provide decision-makers with a more realistic assessment of the cost-effectiveness of this technology and to ensure its optimal utilisation in clinical practice.