Patients, organisations providing clinical guidelines, and commercial companies benefit from new approach to comparing multiple healthcare options
Submitting Institution
University of BristolUnit of Assessment
Public Health, Health Services and Primary CareSummary Impact Type
HealthResearch Subject Area(s)
Medical and Health Sciences: Public Health and Health Services
Economics: Applied Economics
Summary of the impact
Patients are more likely to get the most effective healthcare, at
affordable cost to the NHS, as a result of research methodology, developed
by researchers at the University of Bristol, that allows the efficacy and
cost-effectiveness of multiple treatment options to be compared, based on
all the available evidence, much more efficiently than in the past. Since
2008, these methods have been used to inform Clinical Guidelines issued by
the National Institute for Health and Care Excellence (NICE) and in
submissions to NICE's Technology Appraisals. Guidance in NICE's Technology
Appraisals is mandatory and therefore impacts directly on clinical
practice. The methodology is used in decision making by NICE's equivalents
in other countries including Canada, Germany, and South Korea, and by
consultancy firms that conduct analyses for pharmaceutical companies.
Underpinning research
The University of Bristol's (UoB) Multi-Parameter Evidence Synthesis
(MPES) research group, led by Professor Ades (2002-present), has been
funded by Medical Research Council programme grants, fellowships, and
research grants from July 2001-present. Other group members contributing
to the impact are Drs Lu (2002-12, Senior Research Fellow), Welton
(2002-present, Senior Lecturer), Caldwell (2002-present, Research Fellow),
and Dias (2007-present, Research Fellow). All research outputs were
published in peer reviewed journals.
MPES methods statistically combine evidence from multiple sources. The
research underpinning the impact was the development (2002-present) of
Mixed Treatment Comparison (MTC) methods (also known as Network
Meta-Analysis). Standard meta-analysis combines estimates of the relative
effects of two treatments (e.g. drug A versus drug B, or drug C versus
placebo) from all available randomized trials. However there are often
many competing health technologies for a given condition/patient group
(e.g. drugs A, B, C, D and placebo). MTC methods allow information from all
the trials of all the treatments of interest to be compared
simultaneously (A versus B versus C versus D, etc). The simplest example
of an MTC is an "indirect comparison", where in the absence of trials
comparing A versus B, the effect of A versus B is inferred from trials
comparing A versus C and trials comparing B versus C.
Because MTC methods allow more evidence to be combined, relative
treatment effects can be estimated more precisely than with standard
meta-analysis methods. Treatments can also be ranked according to both
efficacy and cost-effectiveness, allowing policymakers and guideline
development groups, whether in insurance- or state-funded health systems,
to make better-informed decisions, supporting equitable and optimum
resource allocation by health service purchasers.
The UoB MPES group firstly set out the theoretical framework for MTC
methods, showing them to be natural extensions of standard meta-analysis,
and developing robust software for estimating them, published in peer
review journals 2004-2008[1,2,3,4]. The scope of the methods was further
extended and generalised, so that it could be applied to trials reporting
a variety of different types of outcomes (probabilities; rates;
continuous; ordinal; competing risks)[5]. The group has also developed
theory on the robustness and reliability of MTC, and developed methods to
check consistency of the different evidence sources[5,6].
These methodology developments were led and conducted by the MPES group,
which also developed general computer code (written for the freely
available WinBUGS software) to conduct MTC and made this code freely
available through its website. These methods are now widely accepted, and
were adopted in the 2008 and 2013 updates of the NICE Guide to the Methods
of Technology Appraisal. NICE, through its Decision Support Unit,
commissioned the MPES group to write a series of Technical Support
Documents, including general code for a range of different types of
outcomes and evidence structures [5] to guide those making submissions to
NICE. These were first published on the NICE Decision Support Unit website
in 2011 following peer-review, and have subsequently all been published in
the journal Medical Decision Making (July 2013, Vol 33 No.5), following
further peer review. All other references [1,2,3,4,5,6] are published in
peer-reviewed journals.
References to the research
[1] Lu G, Ades AE Combination of direct and indirect evidence in
mixed treatment comparisons. Statistics in Medicine 2004; 23:3105-3124.
doi: 10.1002/sim.1875
[3] Ades AE, Sculpher M, Sutton A, Abrams K, Cooper N, Welton
N, Lu G. Bayesian Methods for Evidence Synthesis in
Cost-Effectiveness Analysis. Pharmacoeconomics 2006; 24:
1-19. doi: 10.2165/00019053-200624010-00001
[4] Sutton A, Ades A, Cooper N, Abrams KR. Use of indirect and
mixed treatment comparisons for technology assessment. Pharmacoeconomics
2008; 26:753-767. doi: 10.2165/00019053-200826090-00006
(Document can be supplied upon request)
[6] Lu G, Ades AE. Assessing evidence consistency in mixed
treatment comparisons. Journal of the American Statistical Association
2006; 101: 447-459. doi:10.1198/016214505000001302
Details of the impact
The UoB MPES group contributed to the 2008 and 2013 Revisions of the NICE
Methods Guide, which define the role for MTC methods in submissions to
NICE [a,b]. The Technical Support Documents developed by the MPES group,
available on the NICE Decision Support Unit website [5], are cited in the
NICE 2012 Guidelines Manual [c,d], which define the methods to be used in
NICE Clinical Guidelines. The same methods and WinBUGS code are
recommended by the International Society for Pharmacoeconomics and
Outcomes Research, the leading society for Health Technology Assessment
methods [e].
Impact of MTC methods via NICE Technology Appraisals
Mixed Treatment Comparisons have been presented in submissions underlying
59 (46%)[f] of the 129 NICE Technical Appraisals (TA) since January 2009,
covering a wide range of clinical areas[f]. Of these, 24 (41%) directly
cite papers by the MPES group and/or clearly use WinBUGS code written by
the MPES group [f]. NICE Technology Appraisals determine whether new
technologies are cost-effective for the UK National Health Service (NHS),
and if they are then they must be adopted by law (i.e. provided to
patients by the NHS) within three months of the guidance being issued.
NICE Technology Appraisals therefore impact directly on healthcare policy
governing which new treatment options are available to health
professionals to treat patients. Because NICE guidance is primarily based
on cost-effectiveness, it secures more health-related quality of life per
pound spent by the NHS.
For example, TA199 [f] cites MTC methods (p.213), the research of the
MPES group (references 204, 205, 230), and uses WinBUGS code derived from
the MPES groups code (p.224). Based on MTC methods TA199 recommends that
Etanercept, infliximab or adalimumab may be used for the treatment of
active and progressive psoriatic arthritis, but that the least expensive
should be used based on locally available prices. This was based on the
view that these products were equally effective, a conclusion that could
not be reached without MTC methods.
Impact of MTC methods via NICE Clinical Guidelines
The UoB MPES group has provided consultancy work to assist the
incorporation of MTC methods into several NICE Clinical Guidelines (CG) in
a range of clinical areas[d]. For example, research by the MPES group is
cited in CG153 Psoriasis (Oct 2012). The research methods that were
developed during this consultancy work, and which were used in these
guidelines, have since been published [d]. Although NICE Clinical
Guidelines are not mandatory, there is evidence that uptake is generally
good for those guidelines evaluated in the ERNIE Uptake Database,
available on the NICE web-pages. NICE Clinical Guidelines are based on
cost-effectiveness, and so uptake of the guidelines implies impact in
terms of maximising the health-related quality of life obtained from NHS
resources.
Impact of MTC methods in Canada
The Canadian Agency for Drugs and Technologies in Health (CADTH) has used
MTC methods in its reports and recommendations on second and third line
therapies for Type 2 Diabetes inadequately controlled on metformin, and
for their Therapeutic Review on Biologics in Rheumatoid Arthritis [g]. The
various biologic drugs have not been compared directly in head-to-head in
trials, and so MTC methods are essential to compare their effectiveness
and cost-effectiveness. As in the UK, the impact was to make the biologic
drugs available in Canada as the most cost-effective use of resources.
Impact of MTC methods in other countries
MTC methods are being used in other countries. In Germany the Institut
fur Qualitat und Wirtschaftlichkeit in Gesundheitswesen (IQWiG) approved
the use of MTC methods in 2009, and used them in the Final Report on
treatments for essential hypertension (A05-09). The National
Evidence-based healthcare Collaborating Agency (NECA) in South Korea has
used MTC methods since 2009 [h].
Commercial Impact
The use of MTC by pharmaceutical firms in 46% of all submissions to NICE
represents a substantial commercial activity in itself, with several
consultancy firms now specialising in conducting MTC analyses on behalf of
pharmaceutical company clients, and marketing this specialism. These
consultancy firms send staff on courses taught by the MPES group, and use
WinBUGS code developed by the group, with resulting impact in terms of
commercial economic activity [i, j].
Sources to corroborate the impact
[a] Letter from NICE, Centre of Technology Evaluation: "[a]
CTE_NICE_Letter.doc" Letter from the Director of Health Technology
Evaluation at NICE confirming the role of the MPES group in the
development of the section on "indirect comparisons and network
meta-analyses" of the NICE Guide to the Methods of Technology Appraisals
(2013).
[b] Guide to the methods of technology appraisal 2013 Working Party
http://publications.nice.org.uk/guide-to-the-methods-of-technology-appraisal-2013-pmg9/further-information#nice-methodology-working-party
(accessed 3rd
Oct 2013)
Prof. Ades and Dr. Dias are listed as special advisors to the working
group for the development of the NICE Guide to the Methods of Technology
Appraisals (2013).
[c] Letter from NICE, Centre for Clinical Practice: "[c]
CCP_NICE_Letter.pdf"
Letter from NICE Centre for Clinical Practice, confirming the role of
the research and staff of the MPES group in supporting the development
of NICE clinical guidelines, and the citation to the research of the
MPES group in the NICE 2012 Guidelines Manual (2012).
[d] List of NICE Clinical Guidelines where the MPES groups research was
involved: "[d] NICE CGs using MTC.doc"
In 6 published and 1 forthcoming NICE Clinical Guidelines, the MPES
group were directly involved advising on and/or conducting MTC analyses,
and in the development of new methods specifically for the guideline
(subsequently published in peer-reviewed journals). The research of the
MPES is cited in the NICE Guidelines Manual (2012).
[e] Hoaglin DC, Hawkins N, Jansen JP, Scott DA, Itzler R, Cappelleri JC,
Boersma C, Thompson D, Larholt KM, Diaz M, Barrett A. Conducting
Indirect-Treatment-Comparison and Network-Meta-Analysis Studies: Report of
the ISPOR Task Force on Indirect Treatment Comparisons Good Research
Practices: Part 2. Value in Health 2011; 14:429-437. "[e]
Hoaglin ViH 2011.pdf"
The methods and code of the MPES group are recommended by the
International Society for Pharmacoeconomics and Outcomes Research, the
leading society for Health Technology Assessment methods.
[f] Details of the 59 NICE Technology Appraisals (TAs) since 2009 that
have used Indirect or Mixed Treatment Comparisons: "[f] NICE TAs using
MTC.doc"
The methods of the MPES group are used in 46% of NICE Technology
Appraisals since 2009, and the MPES group research is directly cited in
41% of those. Decisions made in NICE Technology Appraisals are
mandatory, and so directly impact on which treatments are available to
patients via the NHS.
[g] Letter from Chief Scientist and Vice President Strategic Initiatives,
Canadian Agency for Drugs and Technology in Health (CADTH): "[g]
CADTH_Letter.pdf"
The methods of the MPES group have been used and cited in health
technology assessments in Canada for treatments for patients with type-2
diabetes, biologics for the treatment of rheumatoid arthritis, and
treatment for atrial fibrillation. This has impacted on coverage
decisions and clinical practice in Canada.
[h] Letter from Senior Director, National Evidence-based healthcare
Collaborating Agency (NECA), Seoul, South Korea: "[h] NECA_Letter.pdf"
The methods of the MPES group are being used in other countries in
health technology assessments for organisations similar to NICE,
including South Korea.
[i] Letter from Vice President Health Economics, Oxford Outcomes: "[i]
VicePresident_OO_Letter.pdf"
The research of the MPES group is contributing to the commercial
success for Oxford Outcomes. A review by Oxford Outcomes identified 8
countries with guidelines on the use of MTC methods which cite the work
of the MPES group.
[j] Letter from Managing Director, Global HEOR & Strategic Market
Access, Mapi Consultancy: "GlobalDirector_Mapi_Letter.pdf"
The research of the MPES group and the training the MPES group has
provided is acknowledged as contributing to commercial success for Mapi
Consultancy.