index: Belgian index values for the EQ-5D descriptive system.
In brechtdv/EQ5D.be: EQ-5D Index Values and Population Norms for Belgium

Description Usage Arguments Details Value Author(s) References Examples

These functions obtain index values for the EQ-5D descriptive system using the algorithm developed by Cleemput (2010).

1 2	index3L(MO, SC, UA, PD, AD) index5L(MO, SC, UA, PD, AD)

`MO`	score for mobility; numeric or character vector.
`SC`	score for self-care; numeric or character vector.
`UA`	score for usual activities; numeric or character vector.
`PD`	score for pain/discomfort; numeric or character vector.
`AD`	score for anxiety/depression; numeric or character vector.

The scores can take values 1, 2, 3 for function index3L, and values 1, 2, 3, 4, 5 for function index5L.

The EQ-5D-5L index values are calculated using the algorithm developed by Cleemput (2010):

1-X = 0.152*INT + 0.074*MO + 0.083*SC + 0.031*UA + 0.084*PD + 0.103*AD + 0.256*N3

where INT is a dummy indicating less than perfect health, and N3 is a dummy indicating any dimension at level 3

The index values for the EQ-5D-5L are obtained from Bouckaert et al. (2021).

A data.frame containing the scores and index values.

Brecht Devleesschauwer <brechtdv@gmail.com>

Cleemput I. A social preference valuations set for EQ-5D health states in Flanders, Belgium. Eur J Health Econ. 2010 Apr;11(2):205-13. doi: 10.1007/s10198-009-0167-0.
Bouckaert N, Gerkens S, Devriese S, Cleemput I. An EQ-5D-5L value set for Belgium - How to value health-related quality of life? Health Services Research (HSR) Brussels: Belgian Health Care Knowledge Centre (KCE). 2021. KCE Reports 342. D/2021/10.273/19. https://kce.fgov.be/en/an-eq-5d-5l-value-set-for-belgium-%E2%80%93-how-to-value-health-related-quality-of-life

## Obtain index value for a single health state
index3L(1, 2, 3, 3, 2)

## Obtain entire Belgian value set for EQ-5D-3L
scores3L <- expand.grid(MO = 1:3, SC = 1:3, UA = 1:3, PD = 1:3, AD = 1:3)
with(scores3L, index3L(MO, SC, UA, PD, AD))

## Obtain entire Belgian value set for EQ-5D-5L
scores5L <- expand.grid(MO = 1:5, SC = 1:5, UA = 1:5, PD = 1:5, AD = 1:5)
with(scores5L, index5L(MO, SC, UA, PD, AD))