Costs in conservation: Common costly mistakes and how to avoid them.

There has been an increasingly prevalent message that data regarding costs must be included in conservation planning activities to make cost-efficient decisions. Despite the growing acceptance that socioeconomic context is critical to conservation success, the approaches to embedded economic and financial considerations into planning have not significantly evolved. Inappropriate cost data is frequently included in decisions, with the potential of compromising biodiversity and social outcomes. For each conservation planning step, this essay details common mistakes made when considering costs, proposing solutions to enable conservation managers to know when and how to include costs. Appropriate use of high-quality cost data obtained at the right scale will improve decision-making and ultimately avoid costly mistakes.

Do Quality-Adjusted Life Years Discriminate Against the Elderly? An Empirical Analysis of Published Cost-Effectiveness Analyses.

OBJECTIVES: Critics of quality-adjusted life-years argue that it discriminates against older individuals. However, little empirical evidence has been produced to inform this debate. This study aimed to compare published cost-effectiveness analyses (CEAs) on patients aged ≥65 years and those aged <65 years. METHODS: We used the Tufts Cost-Effectiveness Analysis Registry to identify CEAs published in MEDLINE between 1976 and 2021. Eligible CEAs were categorized according to age (≥65 years vs <65 years). The distributions of incremental cost-effectiveness ratios (ICERs) were compared between the age groups. We used logistic regression to assess the association between age groups and the cost-effectiveness conclusion adjusted for confounding factors. We conducted sensitivity analyses to explore the impact of mixed age and age-unknown groups and all ICERs from the same CEAs. Subgroup analyses were also conducted. RESULTS: A total of 4445 CEAs categorized according to age <65 years (n = 3784) and age ≥65 years (n = 661) were included in the primary analysis. The distributions of ICERs and the likelihood of concluding that the intervention was cost-effective were similar between the 2 age groups. Adjusted odds ratios ranged from 1.132 (95% CI 0.930-1.377) to 1.248 (95% CI 0.970-1.606) (odds ratio >1 indicating that CEAs for age ≥65 years were more likely to conclude the intervention was cost-effective than those for age <65 years). Sensitivity and subgroup analyses found similar results. CONCLUSION: Our analysis found no systematic differences in published ICERs using quality-adjusted life-years between CEAs for individuals aged ≥65 years and those for individuals aged <65 years.

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.

Methods for Including Adverse Events in Economic Evaluations: Suggestions for Improvement.

OBJECTIVE: Inclusion of relevant effectiveness and safety outcomes in economic evaluation of health technologies is required to aid efficient healthcare decisions. Our objective was to identify the key issues related to the inclusion of adverse events (AEs) in economic evaluation and explore perspectives for good practice recommendations to handle these issues. METHODS: We focused on the frequently encountered methodological issues related to the integration of AEs in economic evaluations of health technologies. We distinguished the following elements: the incorporation of AEs in decision models, the terminology of AEs, the estimation of AEs consequences in terms of quality of life (QoL) and costs, and the exploration of the uncertainty related to the impact of AEs on the economic results. RESULTS: We illustrated and discussed each of the identified issues by giving health technology assessment examples. We focused on the extent to which the integration of AEs in decision models can be improved by dealing with the lack of relevant real-world safety data, estimating the consequences of AEs (eg, for costs and QoL loss), exploring the impacts of AEs that are not adequately captured in current measurement of health-related QoL, and identifying the need for development of a good terminology of relevant types of AEs to be incorporated in economic evaluation. CONCLUSION: Based on a reflection the key methodological issues related to the incorporation of adverse drug events in economic evaluations, we suggested several recommendations to serve a starting point for health technology assessment agencies and researchers to develop good research practices in this field.

Methods to Include Environmental Impacts in Health Economic Evaluations and Health Technology Assessments: A Scoping Review.

OBJECTIVES: The environmental impacts of healthcare are important factors that should be considered during health technology assessments. This study aims to summarize the evidence that exists about methods to include environmental impacts in health economic evaluations and health technology assessments. METHODS: We identified records for screening using an existing scoping review and a systematic search of academic databases and gray literature up to September 2023. We screened the identified records for eligibility and extracted data using a narrative synthesis approach. The review was conducted following the JBI Manual for Evidence Synthesis and reported according to the Preferred Reporting Items for Systematic Reviews and Meta Analyses Extension for Scoping Reviews checklist. RESULTS: We identified 2898 records and assessed the full text of 114, of which 54 were included in this review. Ten methods were identified to include environmental impacts in health economic evaluations and health technology assessments. Methods included converting environmental impacts to dollars or disability-adjusted life years and including them in a cost-effectiveness, cost-utility, or cost-benefit analysis, calculating an incremental carbon footprint effectiveness ratio or incremental carbon footprint cost ratio, incorporating impacts as one criteria of a multi-criteria decision analysis, and freely considering impacts during health technology assessment deliberation processes. CONCLUSIONS: Methods to include environmental impacts in health economic evaluations and health technology assessments exist but have not been tested for widespread use by health technology assessment agencies. Further research and implementation work is needed to determine which method can best aid decision makers to choose low environmental impact healthcare interventions.

A Dutch cost-effectiveness analysis of fremanezumab versus best supportive care in patients with chronic migraine and inadequate response to prior preventive therapy.

BACKGROUND: Chronic migraine (CM) is the most severe and burdensome subtype of migraine. Fremanezumab is a monoclonal antibody that targets the calcitonin gene-related peptide pathway as a migraine preventive therapy. This study aimed to conduct a cost-effectiveness analysis of fremanezumab from a societal perspective in the Netherlands, using a Markov cohort simulation model. METHODS: The base-case cost-effectiveness analysis adhered to the Netherlands Authority guidelines. Fremanezumab was compared with best supportive care (BSC; acute migraine treatment only) in patients with CM and an inadequate response to topiramate or valproate and onabotulinumtoxinA (Dutch patient group [DPG]). A supportive analysis was conducted in the broader group of CM patients with prior inadequate response to 2-4 different classes of migraine preventive treatments. One-way sensitivity, probabilistic sensitivity, and scenario analyses were conducted. RESULTS: Over a lifetime horizon, fremanezumab is cost saving compared with BSC in the DPG (saving of €2514 per patient) and led to an increase of 1.45 quality-adjusted life-years (QALYs). In the broader supportive analysis, fremanezumab was cost effective compared with BSC, with an incremental cost-effectiveness ratio of €2547/QALY gained. Fremanezumab remained cost effective in all sensitivity and scenario analyses. CONCLUSION: In comparison to BSC, fremanezumab is cost saving in the DPG and cost effective in the broader population.

Strategies, processes, outcomes, and costs of implementing experience sampling-based monitoring in routine mental health care in four European countries: study protocol for the IMMERSE effectiveness-implementation study.

BACKGROUND: Recent years have seen a growing interest in the use of digital tools for delivering person-centred mental health care. Experience Sampling Methodology (ESM), a structured diary technique for capturing moment-to-moment variation in experience and behaviour in service users' daily life, reflects a particularly promising avenue for implementing a person-centred approach. While there is evidence on the effectiveness of ESM-based monitoring, uptake in routine mental health care remains limited. The overarching aim of this hybrid effectiveness-implementation study is to investigate, in detail, reach, effectiveness, adoption, implementation, and maintenance as well as contextual factors, processes, and costs of implementing ESM-based monitoring, reporting, and feedback into routine mental health care in four European countries (i.e., Belgium, Germany, Scotland, Slovakia). METHODS: In this hybrid effectiveness-implementation study, a parallel-group, assessor-blind, multi-centre cluster randomized controlled trial (cRCT) will be conducted, combined with a process and economic evaluation. In the cRCT, 24 clinical units (as the cluster and unit of randomization) at eight sites in four European countries will be randomly allocated using an unbalanced 2:1 ratio to one of two conditions: (a) the experimental condition, in which participants receive a Digital Mobile Mental Health intervention (DMMH) and other implementation strategies in addition to treatment as usual (TAU) or (b) the control condition, in which service users are provided with TAU. Outcome data in service users and clinicians will be collected at four time points: at baseline (t0), 2-month post-baseline (t1), 6-month post-baseline (t2), and 12-month post-baseline (t3). The primary outcome will be patient-reported service engagement assessed with the service attachment questionnaire at 2-month post-baseline. The process and economic evaluation will provide in-depth insights into in-vivo context-mechanism-outcome configurations and economic costs of the DMMH and other implementation strategies in routine care, respectively. DISCUSSION: If this trial provides evidence on reach, effectiveness, adoption, implementation and maintenance of implementing ESM-based monitoring, reporting, and feedback, it will form the basis for establishing its public health impact and has significant potential to bridge the research-to-practice gap and contribute to swifter ecological translation of digital innovations to real-world delivery in routine mental health care. TRIAL REGISTRATION: ISRCTN15109760 (ISRCTN registry, date: 03/08/2022).

Cashing in: cost-benefit analysis framework for digital hospitals.

BACKGROUND: For many countries, especially those outside the USA without incentive payments, implementing and maintaining electronic medical records (EMR) is expensive and can be controversial given the large amounts of investment. Evaluating the value of EMR implementation is necessary to understand whether or not, such investment, especially when it comes from the public source, is an efficient allocation of healthcare resources. Nonetheless, most countries have struggled to measure the return on EMR investment due to the lack of appropriate evaluation frameworks. METHODS: This paper outlines the development of an evidence-based digital health cost-benefit analysis (eHealth-CBA) framework to calculate the total economic value of the EMR implementation over time. A net positive benefit indicates such investment represents improved efficiency, and a net negative is considered a wasteful use of public resources. RESULTS: We developed a three-stage process that takes into account the complexity of the healthcare system and its stakeholders, the investment appraisal and evaluation practice, and the existing knowledge of EMR implementation. The three stages include (1) literature review, (2) stakeholder consultation, and (3) CBA framework development. The framework maps the impacts of the EMR to the quadruple aim of healthcare and clearly creates a method for value assessment. CONCLUSIONS: The proposed framework is the first step toward developing a comprehensive evaluation framework for EMRs to inform health decision-makers about the economic value of digital investments rather than just the financial value.

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.

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.

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.

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.

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.

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.

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.

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.

Do certified cancer centers provide more cost-effective care? A health economic analysis of colon cancer care in Germany using administrative data.

Hospital certification has become an important measure to improve cancer care quality, with the potential effect of prolonging patient survival and reducing medical spending. However, yet to be explored is the cost-effectiveness of cancer care provided in certified hospitals, considering significant additional costs incurred from certification requirements. We performed a cost-effectiveness analysis (CEA) using two colon cancer populations (N = 1909) treated in different levels of certified hospitals (CHs) vs noncertified hospitals (NCHs) from a healthcare system's perspective. We matched patient-level data of incident colon cancer cases, diagnosed between 2008 and 2013 from a large statutory health insurance in Saxony, Germany, to calculate net treatment costs by phase (initial, continuing and terminal phase). The costs were supplemented with extra costs from 31 additional services required for certification. Effectiveness measure was total survival time in life-years. Outcome of interest was incremental costs per additional life-year. The annualized net colon cancer treatment costs by phase showed a U shape with high costs in the initial (mean €26 855; 95% CI €25 058-€28 652) and the terminal phases (mean €30 096; 95% CI €26 199-€33 993). The base-case CEA results and all sensitivity analyses consistently demonstrated longer survival and lower costs for the colon cancer cohort treated in CHs vs NCHs. To conclude, we used administrative data to derive the first cost-effectiveness evidence supporting that colon cancer care delivered in the certified cancer centers in Germany improves survival outcomes and saves costs from a healthcare system's perspective. Generalization of the study results should be exercised with caution.

COVID-19 vaccination in Sindh Province, Pakistan: A modelling study of health impact and cost-effectiveness.

BACKGROUND: Multiple Coronavirus Disease 2019 (COVID-19) vaccines appear to be safe and efficacious, but only high-income countries have the resources to procure sufficient vaccine doses for most of their eligible populations. The World Health Organization has published guidelines for vaccine prioritisation, but most vaccine impact projections have focused on high-income countries, and few incorporate economic considerations. To address this evidence gap, we projected the health and economic impact of different vaccination scenarios in Sindh Province, Pakistan (population: 48 million). METHODS AND FINDINGS: We fitted a compartmental transmission model to COVID-19 cases and deaths in Sindh from 30 April to 15 September 2020. We then projected cases, deaths, and hospitalisation outcomes over 10 years under different vaccine scenarios. Finally, we combined these projections with a detailed economic model to estimate incremental costs (from healthcare and partial societal perspectives), disability-adjusted life years (DALYs), and incremental cost-effectiveness ratio (ICER) for each scenario. We project that 1 year of vaccine distribution, at delivery rates consistent with COVAX projections, using an infection-blocking vaccine at $3/dose with 70% efficacy and 2.5-year duration of protection is likely to avert around 0.9 (95% credible interval (CrI): 0.9, 1.0) million cases, 10.1 (95% CrI: 10.1, 10.3) thousand deaths, and 70.1 (95% CrI: 69.9, 70.6) thousand DALYs, with an ICER of $27.9 per DALY averted from the health system perspective. Under a broad range of alternative scenarios, we find that initially prioritising the older (65+) population generally prevents more deaths. However, unprioritised distribution has almost the same cost-effectiveness when considering all outcomes, and both prioritised and unprioritised programmes can be cost-effective for low per-dose costs. High vaccine prices ($10/dose), however, may not be cost-effective, depending on the specifics of vaccine performance, distribution programme, and future pandemic trends. The principal drivers of the health outcomes are the fitted values for the overall transmission scaling parameter and disease natural history parameters from other studies, particularly age-specific probabilities of infection and symptomatic disease, as well as social contact rates. Other parameters are investigated in sensitivity analyses. This study is limited by model approximations, available data, and future uncertainty. Because the model is a single-population compartmental model, detailed impacts of nonpharmaceutical interventions (NPIs) such as household isolation cannot be practically represented or evaluated in combination with vaccine programmes. Similarly, the model cannot consider prioritising groups like healthcare or other essential workers. The model is only fitted to the reported case and death data, which are incomplete and not disaggregated by, e.g., age. Finally, because the future impact and implementation cost of NPIs are uncertain, how these would interact with vaccination remains an open question. CONCLUSIONS: COVID-19 vaccination can have a considerable health impact and is likely to be cost-effective if more optimistic vaccine scenarios apply. Preventing severe disease is an important contributor to this impact. However, the advantage of prioritising older, high-risk populations is smaller in generally younger populations. This reduction is especially true in populations with more past transmission, and if the vaccine is likely to further impede transmission rather than just disease. Those conditions are typical of many low- and middle-income countries.

Cost-effectiveness of alcohol use treatments in patients with alcohol-related cirrhosis.

BACKGROUND & AIMS: Alcohol use treatment such as medication-assisted therapies (MATs) and counseling are available and effective in promoting alcohol abstinence. We sought to explore the cost-effectiveness of different alcohol use treatments among patients with compensated alcohol-related cirrhosis (AC). METHODS: We simulated a cohort of patients with compensated AC receiving care from a hepatology clinic over their lifetimes. We estimated costs (in 2017 US$) and benefits in terms of quality-adjusted life years (QALYs) gained from healthcare and societal perspectives. Transition probabilities, costs, and health utility weights were taken from the literature. Treatment effects of FDA-approved MATs (acamprosate and naltrexone) and non-FDA approved MATs (baclofen, gabapentin, and topiramate) and counseling were based on a study of employer-insured patients with AC. We calculated incremental cost-effectiveness ratios (ICERs) and performed one-way and probabilistic sensitivity analyses to understand the impact of parameter uncertainty. RESULTS: Compared to a do-nothing scenario, MATs and counseling were found to be cost-saving from a healthcare perspective, which means that they provide more benefits with less costs than no intervention. Compared to other interventions, acamprosate and naltrexone cost the least and provide the most QALYs. If the effectiveness of MATs and counseling decreased, these interventions would still be cost-effective based on the commonly used $100,000 per QALY gained threshold. Several sensitivity and scenario analyses showed that our main findings are robust. CONCLUSIONS: Among patients with compensated AC, MATs and counseling are extremely cost-effective, and in some cases cost-saving, interventions to prevent decompensation and improve health. Health policies (e.g. payer reimbursement) should emphasize and appropriately compensate for these interventions. LAY SUMMARY: Alcohol use treatments, including physician counseling and medication-assisted therapies (MATs), improve the outcomes of patients with compensated alcohol-related cirrhosis, though use and access have remained suboptimal. In this study, we found that counseling and MATs are extremely cost-effective, and in some cases cost-saving, interventions to help patients with alcohol-related cirrhosis abstain from alcohol and improve their health. Wider use of these interventions should be encouraged.