HERC database of health economics and genomics studies launched today

An increasing number of qualitative and quantitative research papers in health economics and genomics have been published in recent years. To keep track of these publications, and to have a useful summary of available publications at hand, researchers at HERC have set up a database of health economics and genomics studies. I have helped to set up this database, as has Sarah Wordsworth, but a first-year PhD student, Patrick Fahr, has undertaken most of the hard work and should receive the lion’s share of the credit!

Database screenshot 09May18

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Are whole-exome and whole-genome sequencing approaches cost-effective?

Yesterday, we published an article in Genomics in Medicine titled: “Are whole-exome and whole-genome sequencing approaches cost-effective? A systematic review of the literature”. The lead author for this work was Katharina Schwarze, who spent several months at HERC working on a project related to the costs of whole genome sequencing.

The aim of this particular piece of work was to summarise the current health economic evidence for whole-exome sequencing (WES) and whole-genome sequencing (WGS). The key finding was that the current health economic evidence base to support the more widespread use of WES and WGS in clinical practice is very limited. Other important findings include the following:

  • Cost estimates for a single test ranged from $555 to $5,169 for WES and from $1,906 to $24,810 for WGS.
  • There was no evidence that the cost of WES was falling over time, and only limited evidence that the cost of WGS was decreasing.
  • Few studies used outcome measures recommended for use in economic evaluations, such as survival or quality of life.
  • Only eight publications were full economic evaluations, of which only five produced evidence that WES or WGS may represent a cost-effective use of limited health-care resources.

We conclude by making four practical recommendations:

  1. Future studies should report costs by stage of testing for WES and WGS and highlight particularly notable costs, as it is currently difficult to identify key cost drivers.
  2. Future studies should report resource use and unit costs in a disaggregated manner to aid interpretation.
  3. Future studies evaluating the cost-effectiveness of WES or WGS should use calculated costs instead of prices, to better capture the economic value associated with WES and WGS, and to avoid incorrect and inefficient adoption decisions.
  4. Future studies of the cost-effectiveness of WES and WGS should include trained health economists as coinvestigators to improve study quality.

This paper challenges a number of assumptions in the literature and in the wider conversation regarding the cost and potential value of next generation sequencing technologies. I hope you’ll read, share, and debate these findings!

Using genomic information to guide ibrutinib treatment decisions in chronic lymphocytic leukaemia

A quick update for you on my PhD publications. Last year, I completed my PhD which considered the issues surrounding the economic analysis of genomic diagnostic technologies in the UK NHS. So far, I have published three papers reporting the results of this work:

I am pleased to be able to report that the fourth paper arising from my PhD work was published today in PharmacoEconomics, titled: “Using genomic information to guide ibrutinib treatment decisions in chronic lymphocytic leukaemia: A cost-effectiveness analysis“.


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Health economics, genomics and the value of knowing

In July 2016, the Office for Health Economics and the European Personalised Medicine Association published a white paper titled: “The Value of Knowing and Knowing the Value: Improving the Health Technology Assessment of Complementary Diagnostics”. This publication did not receive a great deal of attention at the time, but it raises some interesting points related to genomic testing that are worthy of consideration by a wider audience. In particular, it highlights several things that we currently do reasonably well in health economics and genomics, as well as some areas in which we need to improve evidence generation, suggesting a future research agenda in this field.

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New PhD opportunity in health economics and genomics

I’m pleased to announce that we are offering a DPhil (PhD) position here at the Health Economics Research Centre in the area of health economics and genomics. The proposed start date is October 2017 and the full title is “Linking genomic and clinical data in health economic evaluations: identifying challenges and exploring potential solutions“.

The aim of this DPhil project is to comprehensively investigate the challenges and opportunities in this area using data from the 100,000 Genomes Project, with an emphasis on rare diseases.

The deadline for applications is 1200 noon UK time on Friday 6th January 2017.

If anybody has any questions about this project then please don’t hesitate to get in touch by email (james.buchanan@dph.ox.ac.uk). Please also share the details of this project with anybody who you think might be interested.

Full details of this project are available here.


What are people willing to pay for whole genome sequencing information?

Given the wide variety of health and non-health outcomes associated with genomic tests, it is perhaps particularly important that the preferences of key stakeholders are considered within the health technology assessment process for these interventions. Indeed, in a paper published last year, Rogowski et al. highlight the importance of ‘preference-based personalization’ in this context. To date, few studies have generated data on preferences for genomic tests. However, a recent publication in Genetics in Medicine by Deborah Marshall and colleagues has attempted to address this gap in the literature.

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Priority setting and genomic testing

I’m currently working on a project which is identifying the key barriers which are slowing down the translation of whole genome sequencing into clinical practice, and as a result I’ve been digging into the literature on priority setting and genomics (on the basis that one barrier might be resource constraints). To be honest, this hasn’t taken a lot of time, as it’s not a particularly well-researched area. That said, there were two specific papers that have informed the development of our work in this area, and I thought it might be interesting to bring these to the attention of a wider audience. Continue reading