“You will find the paper below interesting. It describes the methodology the next analysis of the UK Department of Health’s (DoH) risk-sharing scheme (RSS). The RSS was out in place to allow MSers access to DMTs after NICE (National Institute for Health and Care Excellence) had ruled that interferon-beta and glatiramer acetate were not cost-effective for the NHS.”
“The RSS is a simple idea, but flawed in its implementation. The idea is to see how the drugs work in the real world. The problem is you need to compare the RSS data to something. Initially the plan was to compare it to the London Ontario historical natural history study. This cohort proved unsuitable; rumour has it that the data was imputed and that the EDSS in this database did not behave as it should. For example, you can only get worse on the EDSS in the London, Ontario, database when real-life experience shows the EDSS is a wobbly score with improvements (regressions) as well as progressions. The DoH RSS has now turned to the British Columbia Multiple Sclerosis (BCMS) database as its comparator. This database has been heavily criticized by commentators in the field as MSers in this database behave in a benign way; this database is an outlier. This has problems for the RSS. If you compare how MSers do in the RSS with MSers in the BCMS database and find no difference is it because the drugs don’t work or is it because the MSers in BCMS database have benign disease? Why is this important? It is important to the Pharma companies involved because if they don’t show the RSS MSers doing better they are going to have to lower the price of their drugs. It will also create the impression that these drugs don’t work. I think we now have enough data from trials, and real-life MS registries, to counteract this argument at an International level, but at a UK level the therapeutic nihilists will use this to say ‘we told you so’ and to try an extract resources out of the RSS to be used elsewhere. The latter is a potential problem because the RSS has helped MSers enormously. The RSS has been responsible for revolutionising MS services for MSers in the UK, by providing access to specialist care and information which has benefited the whole MS population, whether or not they are on drug therapy. The RSS has created 100s of MS Specialist Nurse posts; a recent estimate puts the numbers of MS specialist MS nurses in the UK at around 270. The RSS has also created a network of over 70 MS specialist treatment centres, which has been responsible for the data collection for the RSS. What will happen to all these gains if the RSS data shows that treatment with IFN-beta or GA is no better than living with benign MS in British Columbia?”
BACKGROUND & OBJECTIVES: In 2002, the UK’s National Institute for Health and Care Excellence concluded that the multiple sclerosis (MS) disease modifying therapies; interferon-β and glatiramer acetate, were not cost effective over the short term but recognised that reducing disability over the longer term might dramatically improve the cost effectiveness. The UK Risk-sharing Scheme (RSS) was established to ensure cost-effective provision by prospectively collecting disability-related data from UK-treated patients with MS and comparing findings to a natural history (untreated) cohort. However, deficiencies were found in the originally selected untreated cohort and the resulting analytical approach. This study aims to identify a more suitable natural history cohort and to develop a robust analytical approach using the new cohort.
DESIGN: The Scientific Advisory Group, recommended the British Columbia Multiple Sclerosis (BCMS) database, Canada, as providing a more suitable natural history comparator cohort. Transition probabilities were derived and different Markov models (discrete and continuous) with and without baseline covariates were applied.
PARTICIPANTS: From the BCMS database, 898 ‘untreated’ patients with MS considered eligible for drug treatment based on the UK’s Association of British Neurologists criteria.
OUTCOME MEASURE: The predicted Expanded Disability Status Scale (EDSS) score was collected and assessed for goodness of fit when compared with actual outcome.
RESULTS: The BCMS untreated cohort contributed 7335 EDSS scores over a median 6.4 years (6357 EDSS ‘transitions’ recorded at consecutive visits) during the period 1980-1995. A continuous Markov model with ‘onset age’ as a binary covariate was deemed the most suitable model for future RSS analysis.
CONCLUSIONS: A new untreated MS cohort from British Columbia has been selected and will be modelled using a continuous Markov model with onset age as a baseline covariate. This approach will now be applied to the treated UK RSS MS cohort for future price adjustment calculations.