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EQ-5D 3L or 5L? Professor Nancy J. Devlin

EQ-5D - 3L or 5L?

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EQ-5D – 3L or 5L?

Professor Nancy J. Devlin

www.euroqol.org34th EuroQol Plenary Meeting 2017 – Barcelona, Spain

The issue

■ For many years NICE has recommended use of the 3L, and its UK value set (Dolan 1997)

■ 5L available (Herdman et al 2011) with value sets eg. England (Devlin et al 2017)

■ In the UK: choice whether to use the 5L (and English value set) or the 3L (and UK value set) likely to affect estimates of QALYs and ICERs.

- QoL increasing: QALY gains likely to be reduced (to varying degrees)

- LoL increasing: QALY gains likely to be increased (to varying degrees)

■ These differences create a challenge for NICE

- potential inconsistency between past/future HTA decisions

- Inconsistency between future decisions where some evidence based on the 3L, and some based on 5L mapped to 3L values

■ Other countries may also face transitional issues

2 21-22 September 2017

www.euroqol.org34th EuroQol Plenary Meeting 2017 – Barcelona, Spain

Sources of differences between the 3L and 5L

■ There are differences in both

■ The interaction between these determines the effect on QALYs

■ We have empirical evidence; and further studies underway.

3 21-22 September 2017

Measurement properties Valuation properties

How do patients respond to the questionnaire?

What are the stated preferences of the general public?

www.euroqol.org34th EuroQol Plenary Meeting 2017 – Barcelona, Spain

3L vs 5L as measures of patient health

■ 5L was developed in response to concerns about the 3L.

■ Evidence shows that the 5L, compared to the 3L, has:

4 21-22 September 2017

Reduced ceiling effects Eg. Mukuria et al (2017); Janssen et al (2013); Agborsayanga et al (2014); Feng et al (2015);

Less ‘clustering’ of data on relatively few health states

Eg. Parkin et al (2016); Zamora et al (2017a); Feng et al (2016) ; Buccholz et al (2017)*

Evidence of better discriminatory power among patient subgroups

Eg. Janssen et al (2017)*; Pan et al (2015); Wang et al (2016).

Important improvements in the 5L with respect to problems with mobility

Eg. Janssen et al (2017)*

www.euroqol.org34th EuroQol Plenary Meeting 2017 – Barcelona, Spain

EQ-5D-3L value set EQ-5D-5L crosswalk EQ-5D-5L value set

% health states worse than dead 34.6% 26.7% 5.1%

Dimension importance order Pain/Discomfort

Mobility

Anxiety/depression

Self-care

Usual Activities

Pain/Discomfort

Mobility

Anxiety/Depression

Self-care

Usual Activities

Pain/Discomfort

Anxiety/depression

Mobility

Self-care

Usual Activities

Health state values

‘Mildest’ state (11211) 0.883 0.906 0.950 (11211/12111)

‘Moderate’ state (22222 (3L) or

33333 (5L))

0.516 0.516 0.593

‘Worst’ state (33333 (3L) or

55555 (5L))

-0.594 -0.594 -0.285

5 21-22 September 2017

Comparing 3L(UK) and 5L(England) value sets

Source: Mulhern et al (2017)

www.euroqol.org34th EuroQol Plenary Meeting 2017 – Barcelona, Spain

Comparing 3L(UK) and 5L(England) value sets

■ The ‘bi-modal’ nature of the UK 3L value set values is not present in the England 5L values.

6 21-22 September 2017

0.5

11

.52

Den

sity

-.5 0 .5 1Utility value

EQ-5D-5L EQ-5D-3L

Crosswalk

Source: Mulhern et al (2017)

www.euroqol.org34th EuroQol Plenary Meeting 2017 – Barcelona, Spain7 21-22 September 2017

Comparing EQ-3L Index and EQ-5L Index data

EQ Index = Patients’ EQ-5D profile data to which the value set has been applied

Source: Parkin, Devlin, Feng (2016) Medical Decision Making

“non-normal distributions of 3L data, featuring two distinct groups, are commonly observed…this is a result of the classification system…the UK 3L value set exacerbates this by placing a larger weight on level 3 observations”

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Distributions of the EQ Index applying the van

Hout mapping vs England 5L value set.

8 21-22 September 2017

Note: these two diagrams both use the same NHS data set of 5L profile data reported by patients.

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Issues with relying on the van Hout mapping

9 21-22 September 2017

The evaluation space between 0.5 to 1.0 – where most people are – includes only 31 health states in the 3L. In the 0.8-1.0 space the situation is even worse

- The van Hout mapping allows 5L data to be valued using the 3L UK value set (so has all the problems of the latter)

PLUS

- Discontinuities in the distribution attributable to the mapping function (this issue is not specific to the UK/England)

www.euroqol.org34th EuroQol Plenary Meeting 2017 – Barcelona, Spain

Reasons which apply to all countries Reasons specific to the UK/England

Difference in the preference elicitation tasks eg. improved TTO procedure for obtainingvalues < 0; inclusion of DCE tasks

There is a 20 year gap between the stated preference data collected. The composition of the general public and their preferences may have changed

A different instrument is being valued eg. mobility level 5 is descriptively different from mobility level 3 in the 3L.

The UK 3L value set is unusual in various respects eg. high % values < 0; ‘two-group’ distribution of values. Any new value set, whether for 3L or 5L, unlikely to replicate its properties.

Differences in modelling approaches Innovative modelling: heterogeneity; heteroscedasticity; hybrid; ‘censoring’

10 21-22 September 2017

Why are 3L and 5L values different?

www.euroqol.org34th EuroQol Plenary Meeting 2017 – Barcelona, Spain

Is the UK 3L value set the ‘odd one out’..?

11 21-22 September 2017

■ 1998 UK ‘replication study’ (Kind & Macran 1999)

■ Values systematically higher than the UK 3L value set

■ Similar findings reported in Tsuchiya et al (2006)

-0.4

-0.2

0

0.2

0.4

0.6

0.8

1

-0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 1

MVH (1993)

Yo

rk (

19

98

)

UK 3L UK replication England 5L

Value for ‘pits’ -0.594 -0.126 -0.285

% states < 0 34.6% 12.3% 5.1%

Value for ‘middle’ state 0.516 0.616 0.593

www.euroqol.org34th EuroQol Plenary Meeting 2017 – Barcelona, Spain

Concluding remarks

■ Evidence points to the 5L being a better descriptive system than the 3L: it more accurately describes patients’ health.

■ The value sets for the 5L are based on more up to date preference data, and draw on improvements in methods developed over the last 20 years

■ 5L value sets are different than the 3L value sets: this doesn’t mean that there is a ‘problem’ with the 5L that needs to be ‘fixed’

■ Mulhern et al (2017): ‘QALYs may have been overestimated using the UK 3L value set’.

■ England 5L value set (correctly, given implications for NICE) subject to external validation

■ But the UK 3L value set which continues to be used was never subject to that scrutiny.

■ The transitional challenge facing NICE is inevitable in shifting to any new preference-based measure

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For more information, [email protected]