Let’s look at two of the researchers listed –
Routinely collected data – Prof Andrew Morris (Edinburgh)and Prof David Ford (Swansea)
With respect to Prof Andrew Morris From
http://www.ed.ac.uk/profile/andrew-morris :
In his role as Chief Scientist at the Scottish Government Health Directorate, Andrew supports and promotes high quality research aimed at improving the quality and
cost-effectiveness of services offered by NHS Scotland and securing lasting improvements to the health of the people of Scotland.
You have to worry when you see the word
cost-effectiveness in relation to ME/MUS because the government’s Five Year Forward Plan (for Mental Health) is to save billions from NHS budgets by stopping investigations and referrals ME/MUS patients (for ANY symptoms) to secondary care, only offering CBT/psychotherapy instead.
With respect to Prof David Ford from
http://www.swansea.ac.uk/staff/medicine/research/d.v.ford/#publications=is-expanded
David Ford is Professor of Health Informatics and leads the Health Informatics Group at College of Medicine in Swansea University, Wales, UK.
David is Director of the Administrative Data Research Centre (ADRC) Wales, an £8 million investment by the Economic and Social Research Council (ESRC) as part of its Big Data initiative and is Deputy Director of a the Centre for Improvement in Population Health through E-records Research (CIPHER), part of the Farr Institute of Health Informatics Research, funded by a consortium of top UK research funders led by the Medical Research Council (MRC).
David is also Director of the eHealth Industries Innovation (ehi2) Centre, developing links between academia, the NHS, and business within the UK and internationally. He is also University Director of NHS Wales Informatics Research Laboratories, created through a collaboration between the College of Medicine, Swansea University and NHS Wales Informatics Service, the national programme for NHS IT for Wales. The Research Laboratories provide state-of-the-art facilities to design, prototype, test and evaluate innovative new information technologies for use in improving health and healthcare.
David is joint lead of the Health Information Research Unit for Wales (HIRU), which develops new ways of harnessing the potential of routinely collected information collected in health and other settings. HIRU’s main product is the SAIL Databank, an internationally recognised data linkage resource formed from a wide variety of routinely collected data from across Wales.
He may be fine, but it's a little worrying to read about his deep involvement with E-records research given that a computer app called the Nottingham Tool has already been developed by MUS psychiatry researchers (including Prof Richard Morriss*) that can trawl through GP patient records and identify patients who have MUS (remember ME is now counted as MUS) to flag up these patients to other healthcare professionals so that they are not investigated or referred on for their presenting symptoms (all deemed neurotic/psychogenic). All very Orwellian I’m afraid. (NB The Institute of Psychiatry has its own links with an E-research facility - CRIS based at the South London and Maudsley NHS Foundation Trust.) As we know to our cost, not all researchers, not even Professors, (or especially not Professors), can be trusted to act in the interests of patients. Sometimes they’re just doing the government’s bidding for their own personal gain.
It may also only be co-incidental that in 2011 Ford was a fellow keynote speaker at ORAHS with Mansel Aylward, whose track record we're all familiar with.
http://mathsevents.cf.ac.uk/orahs2011/speakers.html
* from
http://impact.ref.ac.uk/casestudies2/refservice.svc/GetCaseStudyPDF/28021 "Morriss and colleagues conducted Department of Health (Care Services Improvement Partnership, CSIP) funded research investigating streamlined diagnosis of MUS by developing methods for estimating the number of patients suffering with MUS using electronic patient records held by practices5. With additional support of CSIP, Morriss developed a search tool ‘The Nottingham Tool’. This searches a GP Practice Database, to identify a cohort of patients that fulfil the criteria for MUS. This cohort provides an overview to the commissioners, or the practice, about the number of people likely to have a MUS. The tool is designed to generate a list for GPs of patients with possible MUS. The GP can then refine the list to exclude or include patients known to have the condition."
See also “Medically Unexplained Symptoms (MUS), Project implementation report, March 2011” – NHS Commissioning Support for London.