PP215 An Evaluation Of The Scottish Medicine Consortium Detailed Advice Document

IntroductionThe Scottish Medicines Consortium (SMC) conducts early health technology assessment (HTA) of new medicines. The advice is implemented at the local level by 14 Health Board Area Drug and Therapeutics Committees (ADTCs). The primary output is a published document, the Detailed Advice Document (DAD), which aims to describe the strengths and weaknesses of the evidence considered and the rationale for the decision. We examined how the DAD is being used to determine areas for improvement.MethodsWe conducted semi-structured interviews with a purposive sample of SMC and ADTC members and formulary pharmacists, who are one of the key audiences. Interviews were recorded and transcribed using Microsoft Teams and coded in NVivo. The results were assessed via thematic analysis, which included major themes such as the structure and content of the DAD and its usefulness in supporting implementation of the advice from an ADTC perspective.ResultsFollowing initial interviews (n = 7), some early themes have emerged. The DAD is a valued tool describing the assessment of a medicine's clinical and cost effectiveness. The current length of the DADs and the technical language used can limit the accessibility of information, and there have been suggestions on how to improve the structure and content. Additional interviews are still being completed and full interview results (available early 2021) will be analyzed to identify key themes.ConclusionsThe DAD is the primary output of SMC's HTA process, which includes decisions on whether a medicine can be routinely prescribed in the National Health Service Scotland. DADs have increased in length over the years, reflecting the increasing complexity of new medicines and a corresponding increase in the size of pharmaceutical company submissions. The interviews conducted to date suggest that the DADs are highly regarded and support implementation of new medicines advice by the ADTC. The findings of this evaluation will lead to an action plan for improvement.

OP348 Assessing The Potential Value Of Wearable Digital Health Technologies In Chronic Kidney Disease Using Early Health Technology Assessment Methods

IntroductionWearable digital health technologies (WDHTs) offer several solutions in terms of disease monitoring, management and delivery of specific interventions. In chronic conditions, WDHTs can be used to support individuals’ self-management efforts, potentially improving adherence to (and outcomes resulting from) interventions. Early health technology assessment (HTA) methods can inform considerations about the potential clinical and economic benefits of technology in the initial phases of the product's lifecycle, facilitating identification of those Research & Development (R&D) investments with the greatest potential stakeholders’ payoff. We report our experience of using early HTA methods to support R&D decisions relating to novel WDHT being designed to support self-management of chronic kidney disease (CKD).MethodsWe performed a literature review, focus-group interviews with patients, and qualitative interviews with the prototype development team to understand the relevant characteristics of WDHTs, quantify relevant clinical indications and existing technological constraints. An early economic evaluation was used to identify the key drivers of value for money, and a discrete choice experiment shed light onto patient preferences towards what key features the WDHT should have for the users to adopt it. Then a model-based cost-effectiveness analysis was undertaken incorporating headroom analysis, return on investment, one-way sensitivity analysis and scenario analyses using data from secondary sources.ResultsThe review of the literature, focus groups with CKD patients, and qualitative interviews with technology developers helped to understand relevant characteristics of WDHT and user preferences helped inform the next R&D iteration. Compared to the standard care, WDHT that support stage ≥3 CKD patients self-management at home by measuring blood pressure and monitor mobility has the potential to be cost-effective at conventional cost-effectiveness threshold levels. From the headroom analysis, novel WDHT can be priced up to GBP280 (EUR315, USD360) and still be cost-effective compared to standard home blood pressure monitoring.ConclusionsOur study provides valuable information for the further development of the WDHT, such as defining a go/no-go decision, as well as providing a template for performing early HTA of Digital Health Interventions.

OP242 Patient-based Evidence: A Comparison Of The Views Of Patient And Clinical Engagement Participants And Committee Members

IntroductionThe Scottish Medicines Consortium (SMC) conducts early health technology assessment (HTA) of new medicines on behalf of NHSScotland. Evidence from patients and carers on end-of-life and orphan medicines is gathered during Patient and Clinician Engagement (PACE) meetings. The output is a consensus statement describing a medicine's added value from the perspective of patients/carers and clinicians, which is used by SMC committee members in decision-making. This study compared the importance of factors in the PACE statement to PACE participants and committee members.MethodsA survey of ninety-eight PACE participants (consisting of forty-two patient group (PG) representatives and fifty-six clinicians) investigated the importance of quality of life (QoL) themes (family/carer impact, health benefits, tolerability, psychological benefit, hope, normal life, treatment choice and convenience) identified from an earlier thematic analysis of PACE statements. The findings from PG representatives and clinicians were compared, and the overall results were further compared with those from a previous survey of committee members (n = 26).ResultsAmong PACE participants who responded (twenty-six PG representatives and fourteen clinicians), 100 percent rated ‘health benefits’ and ‘ability to take part in normal life’ as important / very important. ‘Convenience of administration’ and ‘treatment choice’ received the lowest rating with fifteen percent and nineteen percent respectively of PG representatives versus seven percent of clinicians rating each as very important. ‘Hope for the future’ received the most diverse response with fifty-eight percent of PG representatives and fourteen of clinicians rating this as very important.In general, PACE participants rated importance of QoL themes higher than committee members (n = 21) but the rank order was similar. Differences between the proportion of PACE participants and committee members who rated themes important/very important was greatest for ‘treatment choice’ (sixty-seven percent versus twenty percent respectively) and ‘hope for the future’ (eighty-two percent versus fifty-three percent).ConclusionsThe findings demonstrate some alignment between PACE participants’ and committee members’ responses, supporting the value of the PACE output in decision-making. Areas for further research are highlighted.

The Potential Impact of Digital Biomarkers in Multiple Sclerosis in the Netherlands: An Early Health Technology Assessment of MS Sherpa

(1) Background: Monitoring of Multiple Sclerosis (MS) with eHealth interventions or digital biomarkers provides added value to the current care path. Evidence in the literature is currently scarce. MS sherpa is an eHealth intervention with digital biomarkers, aimed at monitoring symptom progression and disease activity. To show the added value of digital biomarker–based eHealth interventions to the MS care path, an early Health Technology Assessment (eHTA) was performed, with MS sherpa as an example, to assess the potential impact on treatment switches. (2) Methods: The eHTA was performed according to the Dutch guidelines for health economic evaluations. A decision analytic MS model was used to estimate the costs and benefits of MS standard care with and without use of MS sherpa, expressed in incremental cost-effectiveness ratios (ICERs) from both societal and health care perspectives. The efficacy of MS sherpa on early detection of active disease and the initiation of a treatment switch were modeled for a range of assumed efficacy (5%, 10%, 15%, 20%). (3) Results: From a societal perspective, for the efficacy of 15% or 20%, MS sherpa became dominant, which means cost-saving compared to the standard of care. MS sherpa is cost-effective in the 5% and 10% scenarios (ICERs EUR 14,535 and EUR 4069, respectively). From the health care perspective, all scenarios were cost-effective. Sensitivity analysis showed that increasing the efficacy of MS sherpa in detecting active disease early leading to treatment switches be the most impactful factor in the MS model. (4) Conclusions: The results indicate the potential of eHealth interventions to be cost-effective or even cost-saving in the MS care path. As such, digital biomarker–based eHealth interventions, like MS sherpa, are promising cost-effective solutions in optimizing MS disease management for people with MS, by detecting active disease early and helping neurologists in decisions on treatment switch.

Cost-effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment

Background Limited evidence is available on the clinical impact of artificial intelligence (AI) in radiology. Early health technology assessment (HTA) is a methodology to assess the potential value of an innovation at an early stage. We use early HTA to evaluate the potential value of AI software in radiology. As a use-case, we evaluate the cost-effectiveness of AI software aiding the detection of intracranial large vessel occlusions (LVO) in stroke in comparison to standard care. We used a Markov based model from a societal perspective of the United Kingdom predominantly using stroke registry data complemented with pooled outcome data from large, randomized trials. Different scenarios were explored by varying missed diagnoses of LVOs, AI costs and AI performance. Other input parameters were varied to demonstrate model robustness. Results were reported in expected incremental costs (IC) and effects (IE) expressed in quality adjusted life years (QALYs). Results Applying the base case assumptions (6% missed diagnoses of LVOs by clinicians, $40 per AI analysis, 50% reduction of missed LVOs by AI), resulted in cost-savings and incremental QALYs over the projected lifetime (IC: − $156, − 0.23%; IE: + 0.01 QALYs, + 0.07%) per suspected ischemic stroke patient. For each yearly cohort of patients in the UK this translates to a total cost saving of $11 million. Conclusions AI tools for LVO detection in emergency care have the potential to improve healthcare outcomes and save costs. We demonstrate how early HTA may be applied for the evaluation of clinically applied AI software for radiology.

On the integration of early health technology assessment in the innovation process: reflections from five stakeholders

Early health technology assessment (HTA), which includes all methods used to inform industry and other stakeholders about the potential value of new medical products in development, including methods to quantify and manage uncertainty, has seen many applications in recent years. However, it is still unclear how such early value assessments can be integrated into the technology innovation process. This commentary contributes to the discussion on the purposes early HTA can serve. Similarities and differences in the perspectives of five stakeholders (i.e., the hospital, the patient, the assessor, the medical device industry, and the policy maker) on the purpose, value, and potential challenges of early HTA are described. All five stakeholders agreed that integrating early HTA in the innovation process has the possibility to shape and refine an innovation, and inform research and development decisions. The early assessment, using a variety of methodologies, can provide insights that are relevant for all stakeholders but several challenges, for example, feasibility and responsibility, need to be addressed before early HTA can become standard practice. For early evaluations to be successful, all relevant stakeholders including patients need to be involved. Also, nimble, flexible assessment methods are needed that fit the dynamics of medical technology. Best practices should be shared to optimize both the innovation process and the methods to perform an early value assessment.