Table of Contents Table of Contents
Previous Page  166 / 1096 Next Page
Information
Show Menu
Previous Page 166 / 1096 Next Page
Page Background

S153

ESTRO 36

_______________________________________________________________________________________________

SP-0295 Radiotherapy costs: the good, the bad and the

ugly

L.Perrier

5

Cancer Centre Léon Bérard, Clinical Research and

Innovation Direction, Lyon, France

Abstract not received

OC-0296 A critical quality appraisal of studies

estimating the cost of radiotherapy

N. Defourny

1

, P. Dunscombe

2

, C. Grau

3

, Y. Lievens

4

, L.

Perrier

5

1

ESTRO A.I.S.B.L., HERO, Brussels, Belgium

2

University of Calgary, Department of Oncology, Calgary,

Canada

3

Aarhus University, Department of Clinical Medicine,

Aarhus, Denmark

4

University Hospital Ghent, Radiation Oncologist, Ghent,

Belgium

5

Cancer Centre Léon Bérard, Clinical Research and

Innovation Direction, Lyon, France

Purpose or Objective

In the context of growing healthcare expenses combined

with reduced economic growth, health economics (HE)

studies are becoming paramount. Considerable interest in

the domain is apparent when looking at the number of

articles indexed with HE keywords. Nevertheless, a recent

literature review has revealed very few articles

calculating the cost of radiotherapy, and a large

heterogeneity in the methodologies used. The aim of this

complementary review is to report on existing guidance in

HE and to critically assess guideline compliance in the

radiotherapy literature.

Material and Methods

A systematic literature review of cost computation studies

in external photon beam radiation therapy (EBRT) from

1981-2015 was recently conducted by us. Building on this

earlier work, existing HE guidelines have been reviewed

and a list of relevant items for cost estimations has been

compiled. The guidelines searched were ISPOR’s Good

Practices For Outcome Research guidelines, HE evaluation

quality appraisal instruments and National guidelines

(EUnetHTA). A standardised framework focusing on

recommendations on cost assessment was designed with

the help of these guidelines. Fifty-two HE studies meeting

criteria established in our earlier literature review were

studied in-depth: cost assessment methods, descriptions

of methodologies (e.g. sample size, time horizon, or

discounting clearly mentioned), and relevant statistical

analyses performed (e.g. selection bias treated,

sensitivity analyses done) were all critically appraised

within the framework.

Results

Guidance on HE analyses is often provided in the form of

a checklist of items to be addressed. Direction on the cost

type to estimate, the analysis to conduct, and methods for

tackling uncertainty of data are outlined, e.g. ‘’identify

relevant cost for each alternative and value the cost

appropriately’’. Evaluation of the 52 studies against

published HE recommendations revealed shortcomings in

the cost assessment methodologies, the implications of

that choice, and the calculation methods used.

Among selected studies, heterogeneity was observed in

the quantity and quality of the information disclosed.

While documentation of cost items and sample size was

found in 67% of the 52 articles, and the reference year of

cost data was present in 85%, only 37% of the articles

specified data sources used by the authors, 35% stated

their discounting methods and just 8% mentioned the

study’s time horizon. Descriptive statistics analyses were

present in 35% of the studies and uncertainty treatment in

48%.

Conclusion

Existing guidance on formulating the cost part of HE

evaluation studies establishes an outline framework while

giving researchers a high degree of freedom. The limited

number of studies investigating the cost of EBRT do not

systematically follow these published HE guidance leaving

room for quality improvement in this increasingly

influential research area.

SP-0297 Method of development of ESMO Magnitude of

Clinical Benefit applicable for radiotherapy?

E.G.E. De Vries

1

, R. Sullivan

2

, N.I. Cherny

3

1

UMCG University Medical Center Groningen,

Department of Medical Oncology, Groningen, The

Netherlands

2

Institute of Cancer Policy, Kings Health Partners

Integrated Cancer Centre- King's College London,

London, United Kingdom

3

Shaare Zedek Medical Center, Cancer Pain and Palliative

Medicine Service- Department of Medical Oncology,

Jerusalem, Israel

The value of any new therapeutic strategy or treatment is

determined by the magnitude of its clinical benefit

balanced against its cost. Evidence for clinical benefit

from new treatment options is derived from clinical

research, in particular phase III randomised trials, which

generate unbiased data regarding the efficacy, benefit

and safety of new therapeutic approaches. Until recently,

there was no standard tool for grading the magnitude of

clinical benefit of cancer therapies, which may range from

trivial (median progression-free survival advantage of only

a few weeks) to substantial (improved long-term survival).

Indeed, in the absence of a standardised approach for

grading the magnitude of clinical benefit, conclusions and

recommendations derived from studies are often hotly

disputed and very modest incremental advances have

often been presented, discussed and promoted as major

advances or 'breakthroughs'. Recognising the importance

of presenting clear and unbiased statements regarding the

magnitude of the clinical benefit from new therapeutic

approaches derived from high-quality clinical trials, the

European Society for Medical Oncology (ESMO) has

developed a validated and reproducible tool to assess the

magnitude of clinical benefit for cancer medicines, the

ESMO Magnitude of Clinical Benefit Scale (ESMO-MCBS).

An ESMO Task Force to guide the development of the

grading scale was established in March 2013. A first-

generation draft scale was developed and adapted through

a ‘snowball’ method based upon previous work of Task

Force members who had independently developed

preliminary models of clinical benefit grading. The first-

generation scale was sent for review by 276 members of

the ESMO faculty and a team of 51 expert biostatisticians.

The second-generation draft was formulated based on the

feedback from faculty and biostatisticians and the

conceptual work of Alberto Sobrero regarding the

integration of both hazard ratio (HR), prognosis and

absolute differences in data interpretation [J Clin Oncol

2009, Clin Cancer Res 2015]. The second-generation draft

was applied in a wide range of contemporary and historical

disease settings by members of the ESMO-MCBS Task

Force, the ESMO Guidelines Committee and a range of

invited experts. Results were scrutinized for face validity,

coherence and consistency. Where deficiencies were

observed or reported, targeted modifications were

implemented and the process of field testing and review

was repeated. This process was repeated through 13

redrafts of the scale preceding the current one (ESMO-

MCBS v1.0). The final version and fielded testing results

were reviewed by selected members of the ESMO faculty

and the ESMO Executive Board. Version 1.0 appeared in

2015 (Cherny et al. Ann Oncol).

This tool thus provides a rational, structured and

consistent approach to derive a relative ranking of the

magnitude of clinically meaningful benefit that can be