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Peer-reviewed publication

Mitigating Bias in Health-Related Quality of Life (HRQoL) Estimation Due to Missing Data: A Simulation-Based Study Evaluating Imputation Methods

YHEC authors: Joe Moss, Neil Hansell, Erin Barker, Matthew Taylor
Publication date: August 2026
Publishers: MDPI
Journal: Health Economics & Policy

Abstract

Missing Health-Related Quality of Life (HRQoL) data in clinical studies risk propagating bias into health technology assessments (HTAs) and cost-utility analyses. Despite this, current National Institute for Health and Care Excellence (NICE) guidance offers no specific recommendations for handling missing HRQoL values. Using Monte Carlo simulations (1000 datasets), this study evaluated nine imputation methods, across the missing completely at random (MCAR), missing at random (MAR) and missing not at random (MNAR) assumptions at levels ranging from 5% to 50%. Performance was assessed using bias, variance, and coverage of the true HRQoL mean. While multiple imputation by chained equations (MICE)-based approaches performed best under MCAR and MAR, all methods showed bias under MNAR, with a delta-pattern mixture model performing the best (relative bias ≤2.1% at all missingness levels but coverage falls to 35.4% at 50% missingness). The choice of imputation method is key to preventing biased results from propagating into cost-effectiveness analysis, which in theory may lead to suboptimal reimbursement decisions and inefficient healthcare spending. To address the lack of explicit guidance from HTA bodies, we have developed a preliminary policy that could be used for HTA submissions: If the missingness pattern is not known and missingness ≤5%, it is suggested that most methods (except GLM) are acceptable (though care should be taken when using CCA and LOCF if MNAR is suspected). It is also suggested that MICE-based techniques are used as the base case for missingness >5%, and delta-PMM used as a sensitivity analysis when data are not MCAR. Further simulation studies would be required to strengthen the suggestions in this preliminary policy; however, the development of universal recommendations would lead to improved consistency and reliability of HTA globally.

Peer-reviewed publication

Cost-Effectiveness of Maternal RSVpreF Vaccination Compared with Newborn Nirsevimab RSV Prophylaxis or No RSV Prophylaxis in Switzerland

YHEC authors: Amy Dymond, Stuart Mealing, Charlotte Graham
Publication date: August 2026
Journal: Applied Health Economics and Health Policy

Abstract

BACKGROUND: RSVpreF is a vaccine that immunises against respiratory syncytial virus (RSV), a seasonal respiratory virus, that can lead to lower respiratory tract infections. In Switzerland, RSVpreF is indicated for the passive protection of infants against RSV following maternal immunisation.

OBJECTIVE: The Swiss Federal Office of Public Health commissioned a health technology assessment (HTA) of RSVpreF for maternal vaccination, evaluating the clinical and cost effectiveness of the vaccine compared with nirsevimab (administered directly to newborns and infants) or no RSV prophylaxis. This study reports the cost-effectiveness model developed for the Swiss HTA.

METHODS: The model used a Markov model structure, a 1-year time horizon, a one-month cycle length, a Swiss healthcare payers' perspective, and a 3% discount rate for costs and health benefits. Health states included no RSV infection, RSV infection leading to hospitalisation, primary care visits or emergency department visits, post-RSV infection, and death. MATISSE informed RSVpreF efficacy, and MELODY and HARMONIE informed nirsevimab efficacy. Health outcomes were expressed as quality-adjusted life years (QALYs). Probabilistic and deterministic sensitivity analyses were undertaken to explore the impact of parameter uncertainty on the model results.

RESULTS: When compared with nirsevimab, RSVpreF reduces total costs (CHF −9,878,738) and QALYs (−18.4), with an incremental cost-effectiveness ratio (ICER) of 536,008 per QALY (N = 38,844). Compared with no RSV prophylaxis, RSVpreF increases total costs (CHF +470,441) and QALYs (+27.1), with an ICER of 17,377 per QALY (N = 38,844).

CONCLUSIONS: RSVpreF is highly likely to be cost-effective versus both comparators at a range of plausible threshold values. The results of the model contributed to guidance updates in Switzerland, with RSVpreF now reimbursed by mandatory health insurance.

Peer-reviewed publication

Eliciting Health State Utilities for Open Wounds in Dystrophic Epidermolysis Bullosa

YHEC authors: Damian Lewis, Adam B. Smith, Andria Joseph
Publication date: July 2026
Journal: Quality of Life Research

Abstract

PURPOSE: Qualitative accounts and studies employing disease-specific outcome measures have demonstrated that people with dystrophic epidermolysis bullosa (DEB) display impaired health-related quality of life (HRQoL) due to wound-related challenges. There is a paucity of utility data necessary to inform the health economic evaluation of emerging treatments for cutaneous open wounds.

METHODS: The objective was to implement a vignette study with a representative sample of the United Kingdom (UK) general population (N = 1139) and people with DEB (N = 44) to estimate utility values. Vignettes were defined by various attributes, including the number and area of wounds, pain, itch and hours spent managing wounds. Participants valued the vignettes from the perspective of a patient or a caregiver proxy using the EQ-5D-3L or EQ-5D-Y-3L, respectively.

RESULTS: The mean utilities elicited from the patient perspective ranged from 0.491 to − 0.448 and 0.457 to − 0.462 for the general population (N = 627) and DEB (N = 31) sample, respectively. The utilities elicited from the proxy perspective ranged from 0.443 to − 0.543 and 0.079 to − 0.550 in the general population (N = 512) and DEB (N = 13) sample, respectively.

CONCLUSION: The findings join a limited evidence base indicating that the symptoms associated with the wounds experienced by people with DEB have a considerable detrimental effect on their HRQoL.

Peer-reviewed publication

Cost-Effectiveness Analysis of Transcatheter Aortic Valve Implantation for Asymptomatic Severe Aortic Stenosis Across Nine European Countries

YHEC authors: Lucy Hillcoat, Heather Davies
Publication date: July 2026
Journal: European Heart Journal Open

Abstract

AIMS: Asymptomatic severe aortic stenosis (aSAS) is associated with morbidity, with mortality increasing once symptoms develop. Benefits of early aortic valve replacement (AVR) over clinical surveillance (CS) with delayed AVR upon symptom onset have been demonstrated, and it is now recommended from the latest European Guidelines if procedural risk is low (Class IIa, Level A). The aim of this study is to estimate the economic impact of transcatheter aortic valve implantation (TAVI) for the treatment of aSAS.

METHODS AND RESULTS: A cost-utility analysis compared TAVI using the SAPIEN 3/SAPIEN 3 Ultra valve vs. CS in patients with aSAS across nine European countries. A lifetime Markov model captured peri-procedural and long-term outcomes across three health states: alive and well, stroke, and death. Inputs were derived from the EARLY TAVR trial (NCT03042104) and literature sources. Clinical event rates were estimated via parametric survival analysis. Transcatheter aortic valve implantation treatment for patients with aSAS was modelled to be the economically dominant strategy for treating aSAS across all nine European healthcare systems, with cost-effectiveness probabilities ranging from 97.3% (UK) to 99.9% (Belgium). Incremental results per person included cost savings from −£1788 (UK) to −CHF15 802 (Switzerland), quality-adjusted life years gains of 0.18 (Germany, UK) to 0.23 (Switzerland), and life-year gains of 0.12 (UK) to 0.17 (Belgium). Annual discounting of upfront TAVI costs vs. delayed AVR costs drove results.

CONCLUSION: For patients with aSAS, early intervention with TAVI is estimated to deliver greater health benefits and reduce costs compared with CS. These findings support policies promoting early detection and timely intervention before symptom onset.

Peer-reviewed publication

A Disease Progression Model Comparing the Long-Term Mobility and Respiratory Outcomes of Adults with Late-Onset Pompe Disease Receiving Cipaglucosidase Alfa Plus Miglustat versus Alglucosidase Alfa

YHEC authors: Amy Dymond, Will Green
Publication date: July 2026
Journal: Journal of Comparative Effectiveness Research

Abstract

AIM: Late-onset Pompe disease (LOPD) is a rare lysosomal disease primarily impacting muscle strength andrespiratory function. LOPD has a substantial burden despite the availability of alglucosidase alfa (alg). Patients often require mobility and respiratory support over time. Cipaglucosidase alfa in combinationwith miglustat (cipa + mig) is one of two more recently approved treatments for adults with LOPD. Given limited data on the lifetime trajectory to mobility and respiratory support in LOPD, a patient-level simulation model was developed to compare the long-term impact of cipa + mig with alg on these outcomes.

MATERIALS & METHODS: The patient-level simulation predicts lifetime mobility and respiratorydisease progression outcomes based on the 6-min walk distance and % predicted forced vital capacity for alg and cipa + mig for the overall LOPD population using available data and assumptions from experienced clinicians. PROPEL/PROPEL open-label extension (NCT03729362) and ATB200-02 (NCT02675465) studies informed outcomes for four years with cipa + mig and one year with alg. French Pompe disease registry data were used thereafter.

RESULTS: Based on the available data and clinical assumptions, the model predicts cipa + mig slows the overall progression of LOPD, allowing patients an additional 2.72 years without mobility or respiratory support compared with alg. People receiving alg may be wheelchair dependent and require invasive respiratory support for an additional 2.57 and 1.55 years, respectively.

CONCLUSION: Cipa + mig may delay disease progression compared with alg over the lifetime of a patient with LOPD, which would increase the amount of time spent without mobility and respiratory support dependency.

Peer-reviewed publication

Addressing Real-World Data Gaps: Estimating the UK Population Cost of Crohn’s Disease and Ulcerative Colitis Using A Flexible Cost-of-Illness Model Informed by the Optimal Patient Journey and IBDUK Patient Survey 2023

YHEC authors: Rachael MacDonald, Nick Hex, Barbara Uzdzinska, Jessica Pocock
Publication date: July 2026
Journal: BMC Health Services Research

Abstract

BACKGROUND: Inflammatory bowel diseases (IBD), including ulcerative colitis (UC) and Crohn’s disease (CD), are chronic conditions affecting around 500,000 people in the UK and carries rising prevalence and substantial economic burden. Despite expanding therapeutic choice, contemporary UK cost analyses are scarce. A flexible cost of illness model was developed to estimate the excess costs associated with CDUC in the UK at a population level, including direct NHS costs and societal costs. The model estimates how the direct healthcare and indirect societal costs of IBD change over time, helping to analyse and manage key cost drivers. This supports planning and policy decisions by outlining how interventions and external influences affect long-term spending patterns.

METHODS: The study used public data, published research, and the 2023 IBD UK survey to create a cost model covering prevalence, diagnosis, management, complications, and mortality of CD and UC. Clinical management inputs included resource use associated with the ideal pathways in line with IBD Standards. This model estimated and compared healthcare use and complications in people with CD and UC to the general population over 15 years, including costs from flare-ups, remission, and societal impacts.

FINDINGS: The estimated total annual direct healthcare cost based on an optimal patient journey for CD and UC is £3 billion. Ongoing management makes up around 93% of this cost (£2.8 billion), of which 84% of this makes up remission-related treatment in people with active disease. The ongoing management costs of active disease is almost 3 times higher costs in remission, at £185,903,000 and £67,557,000 respectively. The annual lost productivity cost of CD and UC is estimated at around £0.8 billion, mostly due to inability to work. The total healthcare costs are £3.8 billion. In the absence of robust population based real-world data, and given the complexity of IBD care, this model offers a practical solution for estimating population costs, which are likely underestimated, and can be adapted as more accurate datasets become available.

INTERPRETATION: Although pharmacological treatment accounts for a substantial proportion of IBD expenditure, effective control of inflammation and maintenance of remission are likely critical for reducing downstream complications, hospitalisation, surgery, disability, and productivity losses.

Peer-reviewed publication

Next Generation Methods in Health Technology Assessment (HTA): Need, Rigor, and Implementability

YHEC authors: Melissa Pegg
Publication date: July 2026
Journal: International Journal of Technology Assessment in Healthcare

Abstract

The Health Technology Assessment International (HTAi) 2025 annual meeting featured three main
plenaries to explore next generation (NextGen) evidence in health technology assessment (HTA). In this
commentary we capture the discussions of Plenary Two: NextGen Methods: Hype or Here to Stay? Each
plenary panelist was tasked to convincingly debate the need, rigor, and implementability of one of three
emerging methods domains in HTA: 1) Environmental Sustainability, 2) Adaptive HTA, and 3) Artificial
Intelligence (AI)-enabled Real-World Evidence (RWE). The three panelists convincingly debated that their
method would endure beyond initial hype; all three methods were perceived to have a moderate to
high level of need, rigor, and implementability by the audience. Key questions from the audience
included a request for examples of where HTA reviews have considered environmental sustainability, a
challenge for adaptive HTA to embrace other value elements outside of cost-effectiveness, and asked
how the human-in-the-loop principle fits into AI-driven RWE and what this means for HTA agencies that
are already stretched for resources. In this commentary we summarize the presentations, discussions
and audience engagement to provide readers with accessible insight into the debate about which
method(s) are anticipated to endure beyond their initial hype.

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