Mr Justice Kay has delivered another blow against statistical evidence on life expectancy, reinforcing the approach taken by Master Davison in Dodds v Arif 2019 EWCA 1512 (QB).
The High Court dismissed an application by the defendant to rely on statistical evidence on the issue of life expectancy, a similar application having been rejected at earlier CMC in July 2019. Whilst the statistical machinations are of interest, the broad lesson to be drawn from these two decisions is that statistics will, in the vast majority of cases, be the starting point and that the Court will focus on the clinicians’ views, even if such views will themselves draw on statistical material.
Mr Justice Kay in Chaplin said:
“Evidence from a medical statistician is, in principle, admissible although ordinarily it should be seen as the starting-point for the clinical judgements made by medical witnesses…. In my experience medical experts are usually well able to apply and interpret quite complex statistical evidence which can be admitted as hearsay (particularly if set out in a published paper which has been peer-reviewed) without the need to call probative or explanatory evidence.”
Master Davison in Dodds said:
“For these reasons, it seems to me that bespoke life expectancy evidence from an expert in that field should be confined to cases where the relevant clinical experts cannot offer an opinion at all or state that they require specific input from a life expectancy expert or where they deploy, or wish to deploy statistical material, but disagree on the correct approach to it. This case does not, or does not yet, fall into any of these categories."
The decision in Chaplin was probably influenced by the fact that the statistical material that the expert relied on was as yet unpublished and had not been subject to peer review. The risk of prejudice to the claimant when only some four months from trial was material and the Judge was persuaded that an adjournment would be unfair.
The statisticians concerned, Professor David Strauss and Jordan Brooks, stated that there was unpublished data which significantly reduced the life expectancy data found in the 2015 data series. The suggestion was that whereas the medical experts in Chaplin considered that life expectancy was in the range of 35-44% of normal life expectancy (as a result of the injury sustained) the new unpublished data would reduce the individual claimant’s life expectancy to 27% of normal.
Previous life expectancy data published in 2007 provided separate specific life expectancy figures for those individuals with the most severe brain injuries (for example those in persistent disorders of consciousness – i.e. in a persistent vegetative state (‘PVS’) or minimally conscious state (‘MCS’).
Subsequent data published in 2015 no longer sought to separate life expectancy estimates for those in PVS / MC, from those with serious (albeit less profound) brain injuries who were unable to ambulate or self-feed. As would be expected, individuals in PVS / MCS are likely to have a significantly reduced life expectancy compared to other individuals with brain injuries who, whilst unable to walk / self-feed, may demonstrate significantly higher levels of awareness, and a substantially increased level of function.
Accordingly, life expectancy estimates for those in PVS / MCS based solely upon the data published in 2015 risks a significant over-estimate (with implications accordingly in respect of life multipliers for the calculation of future losses).
Prof Strauss has indicated that additional data (as yet unpublished) is available, which would deal with this issue by providing updated life expectancy figures solely for those in PVS / MCS (rather than by considering these individuals as part of a cohort which relates to a wider range of individuals with brain injuries on a broader spectrum of severity).
It is unknown whether this additional data will be published. However, if and when it is made available, it is likely to provide significant assistance to medical experts advising on the question of life expectancy in PVS / MCS cases. It is evidently in the interests of both claimants (with such injuries) and insurers that the courts be provided with the most accurate and appropriate data, in order to ensure that appropriate multipliers can be identified for the purposes of quantifying future losses.
For more information, please contact Jamie McCabe or Andrew Underwood.
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