Validating health economic models with the Probabilistic Analysis Check dashBOARD (PACBOARD).

OBJECTIVES: Health economic (HE) models are often considered as "black boxes" because they are not publicly available and lack transparency, which prevents independent scrutiny of HE models. Additionally, validation efforts and validation status of HE models are not systematically reported. Methods to validate HE models in absence of their full underlying code are therefore urgently needed to improve health policy making.This study aimed to develop and test a generic dashboard to systematically explore the workings of HE models and validate their model parameters and outcomes. METHODS: The Probabilistic Analysis Check dashBOARD (PACBOARD) was developed using insights from literature, health economists, and a data scientist.Functionalities of PACBOARD are 1) exploring and validating model parameters and outcomes using standardised validation tests and interactive plots, 2) visualising and investigating the relationship between model parameters and outcomes using metamodelling, and 3) predicting health economic outcomes using the fitted metamodel.To test PACBOARD, two mock HE models were developed and errors were introduced in these models, e.g. negative costs inputs, utility values exceeding 1. PACBOARD metamodelling predictions of incremental net monetary benefit were validated against the original model's outcomes. RESULTS: PACBOARD automatically identified all errors introduced in the erroneous HE models. Metamodel predictions were accurate compared to the original model outcomes. CONCLUSIONS: PACBOARD is a unique dashboard aiming at improving the feasibility and transparency of validation efforts of HE models. PACBOARD allows users to explore the working of HE models using metamodelling based on HE models' parameters and outcomes.

Cost-effectiveness of home-based screening of the general population for albuminuria to prevent progression of cardiovascular and kidney disease.

Background: Chronic kidney disease (CKD) is often detected late, leading to substantial health loss and high treatment costs. Screening the general population for albuminuria identifies individuals at high risk of kidney events and cardiovascular disease (CVD) who may benefit from early start of preventive interventions. Previous studies on the cost-effectiveness of albuminuria population screening were inconclusive, but were based on survey or cohort data rather than an implementation study, modelled screening as performed by general practitioners rather than home-based screening, and often included only benefits with respect to kidney events. We evaluated the cost-effectiveness of home-based general population screening for increased albuminuria based on real-world data obtained from a prospective implementation study taking into account prevention of CKD as well as CVD events. Methods: We developed an individual-level simulation model to compare home-based screening using a urine collection device with usual care (no home-based screening) in individuals of the general population aged 45-80, based on the THOMAS study (Towards HOMe-based Albuminuria Screening). Cost-effectiveness was assessed from the Dutch healthcare perspective with a lifetime horizon. The costs of the screening process and benefits of preventing CKD progression (dialysis and kidney transplantation) and CVD events (non-fatal myocardial infarction, non-fatal stroke, fatal CVD event) were reflected. Albuminuria detection led to treatment of identified risk factors. The model subsequently simulated CKD progression, the occurrence of CVD events, and death. The risks of experiencing CVD events were calculated using the SCORE2 CKD risk prediction model and individual-level data from the THOMAS study. Relative treatment effectiveness, quality of life scores, resource use, and cost inputs were obtained from literature. Model outcomes were the number of CKD and CVD-related events, total costs, quality-adjusted life years (QALYs), and the incremental cost-effectiveness ratio (ICER) per QALY gained by screening versus usual care. All results were obtained through probabilistic analysis. Findings: The absolute difference between screening versus usual care in lifetime probability of dialysis, kidney transplantation, non-fatal myocardial infarction, non-fatal stroke, and fatal CVD events were 0.2%, 0.05%, 0.6%, 0.6%, and 0.2%, respectively. This led to relative decreases compared to usual care in lifetime incidence of these events of 10.7%, 11.1%, 5.1%, 4.1%, and 1.6%, respectively. The incremental costs and QALYs of screening were €1607 and 0.17 QALY, respectively, which led to a corresponding ICER of €9225/QALY. The probability of screening being cost-effective for the Dutch willingness-to-pay threshold for preventive population screening of €20,000/QALY was 95.0%. Implementing the screening in the subgroup of 45-64 years old reduced the ICER (€7946/QALY), whereas implementing screening in the subgroup of 65-80 years old increased the ICER (€10,310/QALY). A scenario analysis assuming treatment optimization in all individuals with newly diagnosed risk factors or known risk factors not within target range reduced the ICER to €7083/QALY, resulting from the incremental costs and QALY gain of €2145 and 0.30, respectively. Interpretation: Home-based screening for increased albuminuria to prevent CVD and CKD events is likely cost-effective. More health benefits can be obtained by screening younger individuals and better optimization of care in individuals identified with newly diagnosed or known risk factors outside target range. Funding: Dutch Kidney Foundation, Top Sector Life Sciences & Health of the Dutch Ministry of Economic Affairs.

Introducing Open Science in Teaching Health Economic Modelling.

Open Science is gaining ground in all research fields, including health economics and outcomes research (HEOR). However, teaching Open Science is still in its infancy. This paper describes the design, implementation and evaluation of a teaching activity focusing on introducing Open Science during a Master's course during which participants have to develop a discrete event simulation. The teaching activity was organised as a series of lectures introducing different aspects of the Open Science philosophy and practices, such as good software coding practices, version control systems and reproducible research. The participants' increase in Open Science knowledge was elicited through a survey before and after the teaching innovation. After the teaching innovation, participants' knowledge of Open Science increased and they reported an improvement in Open Science-related skills, such as using a script-based statistical software, identifying and re-using open data, and collaborative script development. During the evaluation at the end of the course, the course participants mentioned that the Open Science-related content was interesting but would fit better within a course in which broader research-related content is taught. Based on this feedback, we will most likely narrow the scope of the Open-Science-related content in this course to Open Source Modelling which may better fit the scope of the course. This paper contains links to the teaching activities we developed and other resources which may be used to design teaching activities on Open Science. Herewith, we hope to inspire other teachers in including Open Science into their teaching.

Cost-effectiveness of screening for chronic kidney disease: existing evidence and knowledge gaps.

It is well known that the worldwide prevalence of chronic kidney disease (CKD) has risen to over 10% of the general population during the past decades. Patients with CKD are at increased risk of both kidney failure and cardiovascular disease (CVD), posing a substantial health challenge. Therefore, screening for CKD is warranted to identify and treat patients early to prevent progression and complications. In this issue of the Journal, Yeo and colleagues provide an updated systematic review of the cost-effectiveness of screening for CKD in the general adult population. They show that screening for CKD in high-risk populations is cost-effective and that there is limited evidence for screening the general population. It should be noted that most studies they discuss do not consider the benefit of screening to prevent CVD in addition to preventing kidney failure, the treatment effect of novel therapeutic agents such as SGLT2 inhibitors, and the possibility of screening in a home-based setting. These three aspects will likely improve the cost-effectiveness of CKD screening, making it feasible to move towards general population screening for CKD.

Health Economic Research Assessing the Value of Early Detection of Cardiovascular Disease: A Systematic Review.

INTRODUCTION: Cardiovascular disease (CVD) is the most prominent cause of death worldwide and has a major impact on healthcare budgets. While early detection strategies may reduce the overall CVD burden through earlier treatment, it is unclear which strategies are (most) efficient. AIM: This systematic review reports on the cost effectiveness of recent early detection strategies for CVD in adult populations at risk. METHODS: PubMed and Scopus were searched to identify scientific articles published between January 2016 and May 2022. The first reviewer screened all articles, a second reviewer independently assessed a random 10% sample of the articles for validation. Discrepancies were solved through discussion, involving a third reviewer if necessary. All costs were converted to 2021 euros. Reporting quality of all studies was assessed using the CHEERS 2022 checklist. RESULTS: In total, 49 out of 5552 articles were included for data extraction and assessment of reporting quality, reporting on 48 unique early detection strategies. Early detection of atrial fibrillation in asymptomatic patients was most frequently studied (n = 15) followed by abdominal aortic aneurysm (n = 8), hypertension (n = 7) and predicted 10-year CVD risk (n = 5). Overall, 43 strategies (87.8%) were reported as cost effective and 11 (22.5%) CVD-related strategies reported cost reductions. Reporting quality ranged between 25 and 86%. CONCLUSIONS: Current evidence suggests that early CVD detection strategies are predominantly cost effective and may reduce CVD-related costs compared with no early detection. However, the lack of standardisation complicates the comparison of cost-effectiveness outcomes between studies. Real-world cost effectiveness of early CVD detection strategies will depend on the target country and local context. REGISTRATION OF SYSTEMATIC REVIEW: CRD42022321585 in International Prospective Registry of Ongoing Systematic Reviews (PROSPERO) submitted at 10 May 2022.

Opportunities and Barriers to the Development and Use of Open Source Health Economic Models: A Survey.

OBJECTIVES: Health economic (HE) models are routinely used to support health policy and resource allocation decisions but are often considered "black boxes" that may be prone to error and bias. Open source models (OSMs) have been advocated to increase the transparency, credibility, and reuse of HE models. Previous studies have demonstrated interest in OSMs among the health economics and outcomes research community, but the number of OSMs remains low. METHODS: We conducted an online survey of ISPOR (the leading professional society for health economics and outcomes research) members' perspectives on the usefulness of OSMs and barriers to their development and implementation. RESULTS: Respondents (N = 230) included academics (27%), pharmaceutical (or related) industry representatives (23%), health research or consulting representatives (21%), governmental or nonprofit agency representatives (10%), and others (19%). Respondents were generally not familiar with barriers to the development and adoption of OSMs. Most agreed that OSMs would improve transparency (92%), efficiency (76%), and HE model reuse (86%) and promote confidence in using HE models (75%). The use of OSMs by health technology assessment authorities was considered a very important indicator of the usefulness of OSMs by 49% of respondents. Three-quarters of respondents perceived legal concerns and the ability to transfer data as important barriers to the development and use of OSMs. CONCLUSIONS: Respondents believe that OSMs could increase the transparency, efficiency, and credibility of HE models, but that several barriers hamper their widespread adoption. Our results suggest that fundamental changes may be needed across the health economics and outcomes research community if OSMs are to become widely adopted.

Efficacy, cost-minimization, and budget impact of a personalized discharge letter for basal cell carcinoma patients to reduce low-value follow-up care.

BACKGROUND: The incidence of keratinocyte carcinomas is high and rapidly growing. Approximately 80% of keratinocyte carcinomas consist of basal cell carcinomas (BCC) with 50% of these being considered as low-risk tumors. Nevertheless, 83% of the low-risk BCC patients were found to receive more follow-up care than recommended according to the Dutch BCC guideline, which is one visit post-treatment for this group. More efficient management could reduce unnecessary follow-up care and related costs. OBJECTIVES: To study the efficacy, cost-utility, and budget impact of a personalized discharge letter for low-risk BCC patients compared with usual care (no personalized letter). METHODS: In a multi-center intervention study, a personalized discharge letter in addition to usual care was compared to usual care in first-time BCC patients. Model-based cost-utility and budget impact analyses were conducted, using individual patient data gathered via surveys. The outcome measures were number of follow-up visits, costs and quality adjusted life years (QALY) per patient. RESULTS: A total of 473 first-time BCC patients were recruited. The personalized discharge letter decreased the number of follow-up visits by 14.8% in the first year. The incremental costs after five years were -€24.45 per patient. The QALYs were 4.12 after five years and very similar in both groups. The national budget impact was -€2,7 million after five years. CONCLUSIONS: The distribution of a personalized discharge letter decreases the number of unnecessary follow-up visits and implementing the intervention in a large eligible population would results in substantial cost savings, contributing to restraining the growing BCC costs.

Lenalidomide with Rituximab for Previously Treated Follicular Lymphoma and Marginal Zone Lymphoma: An Evidence Review Group Perspective of a NICE Single Technology Appraisal.

The National Institute for Health and Care Excellence (NICE) invited the manufacturer (Celgene) of lenalidomide (Revlimid®), as part of the Single Technology Appraisal (STA) process, to submit evidence for the clinical effectiveness and cost-effectiveness of lenalidomide in combination with rituximab (MabThera®), together referred to as R2, for the treatment of adults with treated follicular lymphoma (FL) or marginal zone lymphoma (MZL). Kleijnen Systematic Reviews Ltd, in collaboration with Maastricht University Medical Centre+, was commissioned to act as the independent Evidence Review Group (ERG). This paper summarises the company submission (CS), presents the ERG's critical review on the clinical and cost-effectiveness evidence in the CS, highlights the key methodological considerations, and describes the development of the NICE guidance by the Appraisal Committee. The CS included one relevant study, for the comparison of R2 versus rituximab monotherapy (R-mono): the AUGMENT trial. In addition, the company performed an unanchored indirect comparison of R2 versus rituximab combined with cyclophosphamide, doxorubicin, vincristine, and prednisolone (R-CHOP) and rituximab combined with cyclophosphamide, vincristine, and prednisolone (R-CVP), using data for R2 from the AUGMENT trial and pooled data for R-CHOP/R-CVP from the Haematological Malignancy Research Network (HMRN) database. During the STA process, the company provided an addendum containing evidence on only the FL population, in line with the marketing authorisation obtained at that time, which did not include MZL. The probabilistic incremental cost-effectiveness ratios (ICERs) presented by the company were £27,768 per quality-adjusted life year (QALY) gained for R2 versus R-CHOP, £41,602 per QALY gained for R2 versus R-CVP, and £23,412 per QALY gained for R2 versus R-mono. The ERG's concerns included the validity of the unanchored comparison, the unavailability of a state transition model to verify the outcomes of the partitioned survival model, substantial uncertainty in survival curves, and potential over-estimation of utility values. The revised ERG base case resulted in ICERs ranging from £16,874 to £44,888 per QALY gained for R2 versus R-CHOP, from £23,135 to £59,810 per QALY gained for R2 versus R-CVP, and from £18,779 to £27,156 per QALY gained for R2 versus R-mono. Substantial uncertainty remained around these ranges. NICE recommended R2 within its marketing authorisation, as an option for previously treated FL (grade 1-3A) in adults, contingent on the company providing lenalidomide according to the commercial arrangement.

Exploring the Cost Effectiveness of Shared Decision Making for Choosing between Disease-Modifying Drugs for Relapsing-Remitting Multiple Sclerosis in the Netherlands: A State Transition Model.

BACKGROUND: Up to 31% of patients with relapsing-remitting multiple sclerosis (RRMS) discontinue treatment with disease-modifying drug (DMD) within the first year, and of the patients who do continue, about 40% are nonadherent. Shared decision making may decrease nonadherence and discontinuation rates, but evidence in the context of RRMS is limited. Shared decision making may, however, come at additional costs. This study aimed to explore the potential cost-effectiveness of shared decision making for RRMS in comparison with usual care, from a (limited) societal perspective over a lifetime. METHODS: An exploratory economic evaluation was conducted by adapting a previously developed state transition model that evaluates the cost-effectiveness of a range of DMDs for RRMS in comparison with the best supportive care. Three potential effects of shared decision making were explored: 1) a change in the initial DMD chosen, 2) a decrease in the patient's discontinuation in using the DMD, and 3) an increase in adherence to the DMD. One-way and probabilistic sensitivity analyses of a scenario that combined the 3 effects were conducted. RESULTS: Each effect separately and the 3 effects combined resulted in higher quality-adjusted life years (QALYs) and costs due to the increased utilization of DMD. A decrease in discontinuation of DMDs influenced the incremental cost-effectiveness ratio (ICER) most. The combined scenario resulted in an ICER of €17,875 per QALY gained. The ICER was sensitive to changes in several parameters. CONCLUSION: This study suggests that shared decision making for DMDs could potentially be cost-effective, especially if shared decision making would help to decrease treatment discontinuation. Our results, however, may depend on the assumed effects on treatment choice, persistence, and adherence, which are actually largely unknown.

An economic evaluation of eribulin for advanced breast cancer treatment based on the Southeast Netherlands advanced breast cancer registry.

Background: In 2013, eribulin was reimbursed under a coverage with evidence development (CED) as third or later chemotherapy line for advanced breast cancer (ABC) patients in the Netherlands because of uncertain cost effectiveness. In 2016, the final decision of reimbursing eribulin was taken without considering the evidence collected during CED research. We analysed the cost effectiveness of eribulin versus non-eribulin chemotherapy, using real-world data.Methods: A three health states (progression-free, progressed disease, dead) partitioned survival model was developed. The SOuth East Netherlands Advanced BREast Cancer (SONABRE) registry informed the effectiveness and costs inputs. Health state utility values were obtained from the literature. Incremental cost-effectiveness ratio (ICER) between the eribulin and matched non-eribulin chemotherapy was estimated. Deterministic and probabilistic sensitivity analyses and scenario analyses were performed. The financial risk (i.e., the expected value of perfect information (EVPI) plus the expected monetary loss (eML) associated with reimbursing eribulin) and budget impact associated with reimbursing eribulin were calculated.Results: Eribulin led to higher health benefits (0.07 quality-adjusted life year (QALY)) and costs (€15,321) compared with non-eribulin chemotherapy. This resulted in an ICER of €220,608. At a €80,000 per QALY threshold, the risk of reimbursing eribulin was €9,791 per patient (EVPI €13, eML €9,778). Scaled up to the Dutch population, the estimated annual budget impact was €1.9 million and the annual risk of reimbursing eribulin was €2.7 million.Conclusion: From a Dutch societal perspective, eribulin is not cost effective when considering its list price as third and later chemotherapy line for ABC patients.

Variability of cost trajectories over the last year of life in patients with advanced breast cancer in the Netherlands.

OBJECTIVE: In breast cancer patients, treatment at the end of life accounts for a major share of medical spending. However, little is known about the variability of cost trajectories between patients. This study aims to identify underlying latent groups of advanced breast cancer patients with similar cost trajectories over the last year before death. METHODS: Data from deceased advanced breast cancer patients, diagnosed between 2010 and 2017, were retrieved from the Southeast Netherlands Advanced Breast Cancer (SONABRE) Registry. Costs of hospital care over the last twelve months before death were analyzed, and the variability of longitudinal patterns between patients were explored using group-based trajectory modeling. Descriptive statistics and multinomial logistic regression were applied to investigate differences between the identified latent groups. RESULTS: We included 558 patients. Over the last twelve months before death, mean hospital costs were €2,255 (SD = €492) per month. Costs increased over the last five months and reached a maximum of €3,614 in the last month of life, driven by hospital admissions, while spending for medication declined over the last three months of life. Based on patients' individual cost trajectories, we identified six latent groups with distinct longitudinal patterns, of which only two showed a marked increase in costs over the last twelve months before death. Latent groups were constituted of heterogeneous patients, and clinical characteristics explained membership only to a limited extent. CONCLUSIONS: The average costs of advanced breast cancer patients increased towards the end of life. However, we uncovered several latent groups of patients with divergent cost trajectories, which did not reflect the overall increasing trend. The mechanisms underlying the variability in cost trajectories warrants further research.

Fluocinolone Acetonide Intravitreal Implant for Treating Recurrent Non-infectious Uveitis: An Evidence Review Group Perspective of a NICE Single Technology Appraisal.

The National Institute for Health and Care Excellence (NICE) invited Alimera Sciences, the company manufacturing fluocinolone acetonide intravitreal implant (FAc) 0.19 mg (tradename ILUVIEN®), to submit evidence on the clinical and cost-effectiveness of FAc for treating recurrent non-infectious uveitis. Kleijnen Systematic Reviews Ltd, in collaboration with Maastricht University Medical Centre + , was commissioned to act as the independent Evidence Review Group (ERG). This paper contains a summary of the clinical and cost-effectiveness evidence submitted by the company, the ERG's critique on the submitted evidence, and the guidance issued by the NICE Appraisal Committee (AC). The company submission (CS) was mainly informed by the PSV-FAI-001 trial in which FAc was compared with (limited) current practice [(L)CP], which was not considered to be representative of UK clinical practice by the ERG. There was no comparison of FAc to any treatment listed in the final scope, and especially to the dexamethasone intravitreal implant (dexamethasone), which was considered to be a relevant comparator by the AC. The primary outcome of the PSV-FAI-001 was recurrence of uveitis in the treated eye. Most of the events for the primary outcome were imputed during the PSV-FAI-001 trial, which probably led to an overestimation of the number of recurrences of disease, and a biased estimate of the relative effectiveness of FAc versus (L)CP. Finally, the place of FAc in the treatment pathway was not clearly defined by the company. Substantial uncertainty surrounded the cost-effectiveness results due to the shortcomings of the clinical evidence. Additionally, the quality of life of patients was not measured during the PSV-FAI-001 trial and long-term effectiveness data of FAc were lacking. The ERG adjusted several issues identified in the CS and added dexamethasone as a comparator in the decision analytic model. The ERG presented multiple analyses as base-cases because several elements of the assessment remained uncertain. The fully incremental ERG results ranged from dexamethasone (extendedly) dominating FAc (when assuming a hazard ratio of 1 or 0.7 for dexamethasone versus FAc) to an incremental cost-effectiveness ratio (ICER) of £30,153 per quality-adjusted life-year (QALY) gained for FAc versus (L)CP [when assuming a hazard ratio of 0.456 for dexamethasone versus (L)CP]. The ICER of FAc versus (L)CP ranged from £12,325 to £30,153 per QALY gained. After a second AC meeting where alternative company scenarios comparing FAc with dexamethasone were considered by the AC, the AC concluded that "the results of the company's analyses ranged from the fluocinolone acetonide implant being dominant (that is, it was more effective and costs less), to an ICER of £29,461 per QALY gained, and most of the ICERs were below £20,000 per QALY gained". Therefore, the AC recommended FAc as a cost-effective use of National Health Service (NHS) resources for treating recurrent non-infectious uveitis affecting the posterior segment of the eye in the final TA590 guidance (published July 2019).

Uncertainty and Coverage With Evidence Development: Does Practice Meet Theory?

OBJECTIVES: In theory, a successful coverage with evidence development (CED) scheme is one that addresses the most important uncertainties in a given assessment. We investigated the following: (1) which uncertainties were present during the initial assessment of 3 Dutch CED cases, (2) how these uncertainties were integrated in the initial assessments, (3) whether CED research plans included the identified uncertainties, and (4) issues with managing uncertainty in CED research and ways forward from these issues. METHODS: Three CED initial assessment dossiers were analyzed and 16 stakeholders were interviewed. Uncertainties were identified in interviews and dossiers and were categorized in different causes: unavailability, indirectness, and imprecision of evidence. Identified uncertainties could be mentioned, described, and explored. Issues and ways forward to address uncertainty in CED schemes were discussed during the interviews. RESULTS: Forty-two uncertainties were identified. Thirteen (31%) were caused by unavailability, 17 (40%) by indirectness, and 12 (29%) by imprecision. Thirty-four uncertainties (81%) were only mentioned, 19 (45%) were described, and the impact of 3 (7%) uncertainties on the results was explored in the assessment dossiers. Seventeen uncertainties (40%) were included in the CED research plans. According to stakeholders, research did not address the identified uncertainty, but CED research should be designed to focus on these. CONCLUSIONS: In practice, uncertainties were neither systematically nor completely identified in the analyzed CED schemes. A framework would help to systematically identify uncertainty, and this process should involve all stakeholders. Value of information analysis, and the uncertainties that are not included in this analysis should inform CED research design.

Ticagrelor for Secondary Prevention of Atherothrombotic Events After Myocardial Infarction: An Evidence Review Group Perspective of a NICE Single Technology Appraisal.

The National Institute for Health and Care Excellence (NICE) invited AstraZeneca, the manufacturer of ticagrelor (Brilique®), to submit evidence on the clinical and cost effectiveness of ticagrelor 60 mg twice daily (BID) in combination with low-dose aspirin [acetylsalicylic acid (ASA)] compared with ASA only for secondary prevention of atherothrombotic events in patients with a history of myocardial infarction (MI) and who are at increased risk of atherothrombotic events. Kleijnen Systematic Reviews Ltd (KSR), in collaboration with Maastricht University Medical Centre+, was commissioned as the evidence review group (ERG). This paper summarises the company submission (CS), the ERG report and the NICE guidance produced by the appraisal committee (AC) for the use of ticagrelor in England and Wales. The ERG critically reviewed the clinical- and cost-effectiveness evidence in the CS. The systematic review conducted as part of the CS identified one randomised controlled trial (RCT), PEGASUS-TIMI 54. This trial reported the time to first occurrence of any event from the composite of cardiovascular death, MI and stroke as the primary outcome (hazard ratio 0.84 ticagrelor 60 mg BID vs. placebo, 95% confidence interval 0.74-0.95). The population addressed in the CS was a subgroup of the PEGASUS-TIMI 54 trial population, i.e. the 'base-case' population, which comprised patients who had experienced an MI between 1 and 2 years ago, whereas the full trial population included patients who had experienced an MI between 1 and 3 years ago. While the ERG believed the findings of this RCT to be robust, doubts concerning the applicability of the trial to UK patients were raised. The company submitted an individual patient simulation model to estimate the cost-effectiveness of ticagrelor 60 mg BID + ASA versus ASA only. Parametric time-to-event models were used to estimate the time to first and subsequent (cardiovascular) events, time to treatment discontinuation and time to adverse events. The company's base-case analysis resulted in an incremental cost-effectiveness ratio (ICER) of £20,098 per quality-adjusted life-year (QALY) gained. The main issues surrounding the cost effectiveness of ticagrelor 60 mg BID + ASA were the use of parametric time-to-event models estimated based on the full trial population instead of being fitted to the 'label' population (the 'label' population comprised the 'base-case' population and patients who started ticagrelor 60 mg BID within 1 year of previous adenosine diphosphate inhibitor treatment), the incorrect implementation of the probabilistic sensitivity analysis (PSA) of the individual patient simulation, and simplifications of the model structure that may have biased the health benefits and costs estimations of the intervention and comparator. The ERG believed the use of the full trial population to inform the parametric time-to-event models was not appropriate because the 'label' population was the main focus of the scope and CS. The ERG could not investigate the magnitude of the bias introduced by this assumption. The PSA of the individual patient simulation provided unreliable probabilistic results and underestimated the uncertainty surrounding the results because it was based on a single patient. The ERG used the cohort simulation presented in the cost-effectiveness model to perform its base-case and additional analyses and to obtain probabilistic results. The ERG amended the company cost-effectiveness model, which resulted in an ERG base-case ICER of £24,711 per QALY gained. In its final guidance, the AC recommended treatment with ticagrelor 60 mg BID + low-dose ASA for secondary prevention of atherothrombotic events in adults who have had an MI and are at increased risk of atherothrombotic events.