quality of life research volume 22 issue 4 2013 [doi 10.1007%2fs11136-012-0207-6] fang-ju lin,...
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![Page 1: Quality of Life Research Volume 22 Issue 4 2013 [Doi 10.1007%2Fs11136-012-0207-6] Fang-Ju Lin, Louise Longworth, A. Simon Pickard -- Evaluation of Content on EQ-5D as Compared to Disease-specific](https://reader034.vdocument.in/reader034/viewer/2022051116/55cf966e550346d0338b6c69/html5/thumbnails/1.jpg)
Evaluation of content on EQ-5D as compared to disease-specificutility measures
Fang-Ju Lin • Louise Longworth • A. Simon Pickard
Accepted: 15 May 2012 / Published online: 23 June 2012
� Springer Science+Business Media B.V. 2012
Abstract
Purpose The goal of this study was to appraise the extent
of unique content on disease-specific preference-based
measures (DSPMs) when contrasted with the EQ-5D using
published studies and to inform whether EQ-5D could be
inadequate as a utility measure in its content coverage for a
given disease-specific application.
Methods A structured search of published literature was
performed using PubMed and EMBASE/Medline database
from Jan 1, 1990 to Mar 31, 2011. Articles were eligible for
inclusion if algorithms were developed to convert compo-
nents from disease-specific measures into utility scores.
Results Of 1,029 articles identified, 50 studies satisfied
the inclusion criteria. The most frequent conditions where
DSPMs were developed included cancer (12 studies),
coronary artery disease (4 studies), osteoarthritis, rheuma-
toid arthritis (3 studies of each), obesity, and stroke (2
studies of each). Most studies involved mapping items or
scores from disease-specific non-preference-based mea-
sures onto a preference-based measure of health such as the
EQ-5D. A substantial number of DSPMs appeared to
include unique content not covered by EQ-5D dimensions.
Conclusions Several conditions were identified as
potential areas where the richness of the EQ-5D descriptive
system could be enhanced. It is yet unclear whether added
dimension(s) would contribute unique explained variance
to a utility score. Given the resources required to rigorously
develop a utility measure, the need for such measures
should be carefully vetted.
Keywords Disease-specific measures � EQ-5D � Utility �Preferences � Mapping
Introduction
Cost-utility analysis is now regularly used to assess the
benefits of health care interventions and to inform resource
allocation. The ‘‘utility’’ component of cost-utility analyses
is often obtained through the use of generic preference-
based measures of health-related quality of life (HRQoL).
Of the available measures, the EQ-5D has become one of
the most commonly used generic preference-based mea-
sures in economic evaluation [1]. The EQ-5D comprises
five dimensions of health (mobility, self-care, usual activ-
ities, pain/discomfort, and anxiety/depression). The EQ-
5D-3L has three levels of severity on each dimension of
health [2], and a new 5L version has 5 five levels on each
dimension [3].
Generic and disease-specific measures of health that
were not originally developed with the intention of gen-
erating utility scores have recently begun to be adapted for
that purpose. One of the first incarnations was the SF-6D,
where Brazier et al. [4, 5] selected items from the SF-36
and developed a set of utility weights for a subset of items.
Since then, the development of utility algorithms for dis-
ease-specific preference-based measures (DSPMs) has
become increasingly popular. There are currently two main
ways in which DSPMs have been established for utility
measurement. Firstly, DSPMs can be obtained from
F.-J. Lin � A. S. Pickard (&)
Center for Pharmacoeconomic Research and Department of
Pharmacy Practice and Pharmacy Administration, University of
Illinois at Chicago, 833 South Wood St., Room 164, M/C 886,
Chicago, IL 60612, USA
e-mail: [email protected]
L. Longworth
Health Economics Research Group, Brunel University,
London, UK
123
Qual Life Res (2013) 22:853–874
DOI 10.1007/s11136-012-0207-6
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‘‘mapping’’ or ‘‘cross-walking’’ between the disease-spe-
cific measure (DSM) and a preference-based quality of life
instrument [6]. This approach requires both measures to be
completed by a relevant group of patients, and econometric
analysis then performed to generate algorithms to predict
the utility score or responses to the preference-based
instrument. Secondly, DSPMs can also be generated by
directly obtaining utility valuations for health states
described by the DSM. As DSMs often include a large
number of attributes or levels, it is often necessary to
specify a subgroup of attributes to be valued. Such studies
can be conducted by eliciting values from patients or the
general population depending upon the desired perspective.
Although ‘‘mapping’’ is sometimes used with ambiguity
among the literature, we here define the term to refer only
to the first approach mentioned above, to distinguish it
from the approach of direct valuation.
Adaptations of disease-specific measures to generate
utility scores are increasingly of interest to health care
stakeholders in both industry and government for a number
of reasons. Such algorithms can facilitate the generation of
utility scores when a utility measure was not incorporated
originally in a study, because of either lack of foresight or
excessive respondent burden. In addition, disease-specific
measures, as compared to generic measures, may demon-
strate better ability to discriminate between comparison
groups and respond to changes over time [7]. There is the
perception that some generic instruments, such as the
EQ-5D, may provide inadequate coverage of certain
dimensions of health that are important, and may change,
in patients with a given condition. However, the mapping
function or scoring algorithm can still be deficient in
coverage, and a directly derived DSPM can potentially
exaggerate disease-specific health problems due to focus-
ing and hence limit the comparability of utility values [8].
An alternative to DSPM measures is to develop items
that ‘‘bolt-on’’ to the core items or dimensions on standard
generic questionnaires that refer to condition-specific
content relevant to a particular condition. Bolt-ons (add-
ons/dimension extensions) to standard generic measures,
though require further research to establish the relative
value, can potentially enhance the precision and respon-
siveness of the measurement. Recently, there have been
attempts to investigate health conditions or dimensions
where bolt-ons to EQ-5D can potentially be helpful.
Although the EQ-5D has the smallest number of dimen-
sions of the main generic preference-based measures,
efforts to identify inadequate coverage of health dimen-
sions by the EQ-5D have met with mixed results. Fur-
thermore, there is no clearly established methodology for
integrating new items/dimensions into an existing algo-
rithm, a challenge outside the scope of this paper. The
genuine need for additional dimensions, and what they
should be, is not clear, even for conditions where DSPM
have been developed. Recently, Brazier et al. [3] reviewed
the use of mapping from non-preference-based measures to
generic preference-based measures and found that most
mapping had been conducted between alternative generic
measures of HRQoL, rather than from disease-specific
measures. The authors concluded that while the approach
was feasible, the validity of the models in terms of good-
ness of fit and error of prediction was highly variable and
will be less desirable when the content of the measures has
less overlap [6].
This study focuses on the literature on disease-specific
mapping studies and disease-specific preference-based
measures, to understand what content is similar to, and
different from, the EQ-5D and to identify potential con-
ditions or dimensions of health where ‘‘bolt-ons’’ might be
appropriate. Through this synthesis of the literature, we
aimed to provide an initial step in examining the possible
candidate conditions in which bolt-ons to EQ-5D may be
considered. In order to accomplish this, we examined all
literature in which disease-specific measures have been
linked to generic utility measures.
Objectives
This study had two specific aims as follows: (1) to describe
the studies that have attempted to map DSMs onto generic
preference-based measures to generate utility scores or
which have developed preference-based measures from
condition-specific measures; (2) to examine and qualita-
tively appraise the face validity of the dimensional cover-
age/overlap of the generic EQ-5D with the items/subscales
from the DSPM.
Methods
Our approach was to conduct a structured review of the
literature in order to identify published literature where
disease-specific measures were adapted to enable the gen-
eration of utility scores. Upon identification of those
studies, which is described below, data were abstracted
from each study related to the item/dimensional content of
the DSPM. Then, we compared and contrasted the DSPM
content with the content of the core dimensions of the
EQ-5D through qualitative appraisal.
Literature search
A search of published literature was performed using
PubMed and EMBASE/Medline database from Jan 1, 1990
to Mar 31, 2011. The search was limited to peer-reviewed
854 Qual Life Res (2013) 22:853–874
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journals and articles published in English. The following
search strategy was executed in PubMed: (1) utility[All
Fields] OR utilities[All Fields] AND (‘‘quality of life’’
[MeSH Terms] OR ‘‘quality of life’’[All Fields]) AND
(mapping[All Fields] OR estimating[All Fields] OR esti-
mation[All Fields] OR ‘‘regression analysis’’[MeSH
Terms]) AND English[lang]; (2) utility[All Fields] OR
utilities[All Fields] AND (‘‘disease specific’’[All Fields]
OR ‘‘condition specific’’[All Fields]). We also performed a
similar search in an EMBASE and Medline combined
database as well, with the search strategy modified
accordingly to include subject headings specific to that
database. Abstracts were carefully reviewed, and full texts
were retrieved if further examination of eligibility was
needed. Articles were eligible for inclusion if preference-
based scoring functions/algorithms were developed for an
existing disease-specific measure. Studies were excluded if
(1) articles focused on development or improvement of a
disease-specific utility instrument; (2) regression analyses
were performed only to examine the correlation between
utility scores and disease-specific measures, without con-
structing algorithms; (3) studies generated utility scores by
anchoring disease-specific measurement data with previ-
ously derived health utilities in the literature. In addition,
reference lists from these articles and the author’s library
were hand-searched to identify additional articles.
The data abstraction included: (1) the targeted disease/
condition, dimensional content and number of items on the
parent DSM; (2) the evaluation techniques used to elicit
preferences; (3) the patient sample used as the basis for the
mapping/valuation study; (4) the range of utility scores
predicted by the subset of the items selected for the DSPM
(preferred model if identified by authors); (5) reported
model goodness of fit (R2 and root mean squared error
[RMSE], mean absolute error [MAE] or mean percentage
error), in order to relate the proportion of variation in utility
scores explained by DSPMs and model performance. We
also reviewed the content of DSMs and DSPMs, and
compared the core dimensions covered by DSPMs and EQ-
5D. One of the authors conducted the abstract review and
data extraction, while the extent of dimension overlap in
DSPMs and EQ-5D was assessed by two reviewers (FJL,
ASP), according to the detailed items/questions described
in DSMs. Any disagreements were resolved by consensus.
Results
A total of 1,029 articles were identified by the electronic
search of databases, with 694 from PubMed and 913 from
EMBASE/Medline database (Fig. 1). After screening the
abstracts and/or the full text of papers, 47 papers were
included in the review. Among the 47 papers, 25 came
from both searches in PubMed and EMBASE/Medline
database, while 10 and 12 were only found in PubMed or
EMBASE/Medline search, respectively. Three additional
papers which met our selection criteria were identified by
reviewing the reference lists from these included articles
[9–11]. Therefore, 50 articles were included in total
(Tables 1, 2, 3).
As shown in Table 1, linkage of disease-specific mea-
sures to utility measures has been explored in a variety of
illnesses or conditions. The most frequently studied disease
was cancer (12 studies), followed by coronary artery dis-
ease (4 studies), osteoarthritis, rheumatoid arthritis (3
studies of each), obesity, and stroke (2 studies of each).
Other studied diseases or conditions include age-related
macular degeneration, atopic dermatitis, chronic obstruc-
tive pulmonary disease exacerbation, chronic liver disease,
degenerative disk disease of cervical spine, dental health,
erectile dysfunction, flushing, inflammatory bowel disease,
menopause, mental conditions, ocular disease, otitis media,
overactive bladder, pain, Parkinson’s disease, pulmonary
hypertension, schizophrenia, sleep disorder, ulcerative
colitis, and urinary incontinence.
Based on our selection criteria, all studies involved
scoring algorithms developed to translate disease-specific
non-preference-based measure(s) of health (the ‘‘parent
measure,’’ the DSM) into at least one generic utility-based
measure (the source of preferences). Various methods were
used to develop the scoring functions for DSPMs. Many
studies performed mapping procedures by regressing
components of the DSM onto existing preference-based
measures such as EQ-5D or HUI, in order to estimate
utility scores that could be generated using the DSM. For
this approach, respondents with a given condition rated
their current health status using both the disease-specific
measure and the generic preference-based utility measure.
Typically, the mapping exercise was accomplished by
using a data set to develop a mapping function, and then,
1029 unique articles identified from PubMed and EMBASE/Medline database using keyword search
Screened by abstract review
Articles obtained: 47 Relevant citations in the articles: 3
Discrete studies identified: 50
Fig. 1 Summary of literature search
Qual Life Res (2013) 22:853–874 855
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Ta
ble
1B
ack
gro
un
dsu
mm
ary
of
stu
die
sw
ith
dis
ease
-sp
ecifi
cp
refe
ren
ce-b
ased
mea
sure
s(D
SP
Ms)
Dis
ease
/condit
ion
Par
ent
mea
sure
(DS
M)
Dim
ensi
ons
of
par
ent
mea
sure
No.
of
item
s
Publi
cati
on
refe
rence
Val
uat
ion
tech
niq
ue
Map
pin
gver
sus
dir
ect
val
uat
ion
Sourc
eof
val
ue
(countr
y)
Sourc
eof
sam
ple
(countr
y)
Sourc
eof
pre
fere
nce
s
Age-
rela
ted
mac
ula
r
deg
ener
atio
n
(AM
D)
Nat
ional
Eye
Inst
itute
Vis
ion
Funct
ion
Ques
tionnai
re
(NE
I-V
FQ
25)
Gen
eral
vis
ion,
ocu
lar
pai
n,
nea
r
acti
vit
ies,
dis
tance
acti
vit
ies,
soci
al
funct
ionin
g,
men
tal
hea
lth,
role
dif
ficu
ltie
s,dep
enden
cy,
dri
vin
g,
colo
rvis
ion,
per
ipher
alvis
ion
25
Pay
akac
hat
etal
.
[34]
EQ
-5D
Map
pin
gU
KA
ust
rali
a,
Net
her
lands,
UK
,U
S
Pat
ients
atle
ast
55
yea
rsof
age
dia
gnose
dw
ith
wet
AM
D
Ast
hm
aA
sthm
aQ
ual
ity
of
Lif
e
Ques
tionnai
re(A
QL
Q)
Sym
pto
ms,
acti
vit
ies,
emoti
ons,
envir
onm
ent
32
Tsu
chiy
aet
al.
[11]
EQ
-5D
Map
pin
gU
KU
KA
sthm
apat
ients
Ato
pic
der
mat
itis
(in
chil
dre
n)
Par
ents
’In
dex
of
Qual
ity
of
Lif
e-A
topic
Der
mat
itis
(PIQ
oL
-AD
)—ch
ild-
cente
red
Act
ivit
y,
mood,
sett
led,
slee
p4
Ste
ven
set
al.
[17]
SG
Dir
ect
val
uat
ion
UK
UK
Gen
eral
popula
tion
Can
cer
Funct
ional
Ass
essm
ent
of
Can
cer
Ther
apy-G
ener
al
(FA
CT
-G)
Physi
cal,
soci
al,
emoti
onal
,fu
nct
ional
wel
l-bei
ng
27
Dobre
zet
al.
[35]
TT
OD
irec
tval
uat
ion
US
US
Can
cer
pat
ients
Cheu
ng
etal
.[3
6]
EQ
-5D
Map
pin
gJa
pan
(sen
siti
vit
y
anal
ysi
sw
as
done
for
algori
thm
from
UK
)
Sin
gap
ore
Can
cer
pat
ients
Rott
erdam
Sym
pto
m
Chec
kli
sts
(RS
C)
Physi
cal
dis
tres
s,psy
cholo
gic
al
dis
tres
s
33
Chan
cell
or
etal
.
[37]
EQ
-5D
HU
I3
Map
pin
gC
anad
aU
KP
atie
nts
wit
hnon-s
mal
l-ce
ll
cance
rof
the
bro
nch
us
Hosp
ital
Anxie
tyan
d
Dep
ress
ion
Sca
le(H
AD
S)
Anxie
tyan
dD
epre
ssio
n14
Addit
ional
ques
tionnai
refo
r
mea
suri
ng
per
form
ance
in
dai
lyac
tivit
ies
Per
form
ance
and
acti
vit
y8
Uti
lity
-Bas
edQ
ues
tionnai
re-
Can
cer
(UB
Q-C
)
Physi
cal
funct
ion,
soci
al/u
sual
acti
vit
ies,
self
-car
e,dis
tres
s
(bec
ause
of
physi
cal
and
psy
cholo
gic
alsy
mpto
ms
asso
ciat
ed
wit
hca
nce
ran
dit
str
eatm
ent)
29
Gri
mis
on
etal
.
[22]
TT
OD
irec
tval
uat
ion
Aust
rali
aA
ust
rali
aA
dvan
ced
cance
rpat
ients
Euro
pea
nO
rgan
izat
ion
for
Res
earc
han
dT
reat
men
tof
Can
cer
Qual
ity
of
Lif
e
Ques
tionnai
re(E
OR
TC
QL
Q-C
30)
Funct
ionin
g(p
hysi
cal,
emoti
onal
,
cognit
ive,
role
,so
cial
funct
ionin
g),
sym
pto
ms
(nau
sea/
vom
itin
g,
fati
gue,
pai
n,
dysp
nea
,in
som
nia
,
appet
ite,
const
ipat
ion,
dia
rrhea
,
finan
cial
impac
t),
over
all
hea
lth
30
Konto
dim
opoulo
s
etal
.[2
3]
EQ
-5D
SF
-6D
15D
Map
pin
gU
K(E
Q-5
D);
UK
(SF
-6D
);
Fin
land
(15D
)
Gre
ece
Gas
tric
cance
rpat
ients
on
chem
oth
erap
y(a
llhad
under
gone
surg
ery
and
no
met
asta
ses)
McK
enzi
eet
al.
[24]
EQ
-5D
Map
pin
gU
KU
KP
atie
nts
wit
hin
oper
able
esophag
eal
cance
r
Pic
kar
det
al.
[25]
TT
OD
irec
tval
uat
ion
US
US
Can
cer
pat
ients
Cro
ttet
al.
[38]
EQ
-5D
Map
pin
gU
KB
elgiu
m,
Fra
nce
,
Net
her
lands,
Sw
itze
rlan
d,
UK
Fem
ale
pat
ients
wit
hlo
call
y
advan
ced
bre
ast
cance
r
Jang
etal
.[3
9]
EQ
-5D
Map
pin
gU
SC
anad
aN
on-s
mal
lce
lllu
ng
cance
r
pat
ients
856 Qual Life Res (2013) 22:853–874
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Ta
ble
1co
nti
nu
ed
Dis
ease
/condit
ion
Par
ent
mea
sure
(DS
M)
Dim
ensi
ons
of
par
ent
mea
sure
No.
of
item
s
Publi
cati
on
refe
rence
Val
uat
ion
tech
niq
ue
Map
pin
gver
sus
dir
ect
val
uat
ion
Sourc
eof
val
ue
(countr
y)
Sourc
eof
sam
ple
(countr
y)
Sourc
eof
pre
fere
nce
s
Can
cer-
lung
FA
CT
-Lung
(FA
CT
-L)
ver
sion
4
Physi
cal,
soci
al/f
amil
y,
emoti
onal
,
funct
ional
wel
l-bei
ng,
and
the
Lung
Can
cer
Subsc
ale
(LC
S)/
sym
pto
ms
37
Kin
det
al.
[15]
VA
SD
irec
tval
uat
ion
UK
UK
Gen
eral
popula
tion
36
Lam
ers
etal
.[1
8]
VA
SD
irec
tval
uat
ion
Net
her
lands
Net
her
lands
Gen
eral
popula
tion
Can
cer-
pro
stat
eF
AC
T-P
rost
ate
(FA
CT
-P)
Physi
cal,
funct
ional
,so
cial
/fam
ily,
emoti
onal
wel
l-bei
ng,
sati
sfac
tion
wit
hth
edoct
or–
pat
ient
rela
tionsh
ip
41
Wu
etal
.[2
6]
EQ
-5D
Map
pin
gU
KA
ust
rali
a,C
anad
a,
Fra
nce
,
Ger
man
y,
Ital
y,
UK
,U
S
Pat
ients
wit
hm
etas
tati
c
horm
one-
refr
acto
ry
pro
stat
eca
nce
r
EO
RT
CQ
LQ
-C30
Funct
ionin
g(i
ncl
ude
physi
cal,
emoti
onal
,co
gnit
ive,
role
,so
cial
funct
ionin
g),
sym
pto
ms
(incl
ude
nau
sea/
vom
itin
g,
fati
gue,
pai
n,
oth
erphysi
cal
sym
pto
ms
and
finan
cial
impac
t),
over
all
hea
lth
30
Chro
nic
obst
ruct
ive
pulm
onar
ydis
ease
(CO
PD
)
exac
erbat
ion
Exac
erbat
ions
of
Chro
nic
Pulm
onar
yD
isea
seT
ool
(EX
AC
T)
Ches
tdis
com
fort
,co
ugh
and
sputu
m,
short
nes
sof
bre
ath,
dif
ficu
lty
wit
h
mucu
s,sl
eep
dis
turb
ance
,
psy
cholo
gic
alst
ate,
wea
k/t
ired
14
Pet
rill
oet
al.
[14]
TT
OD
irec
tval
uat
ion
UK
UK
Gen
eral
popula
tion
Coro
nar
yar
tery
dis
ease
Duke
Act
ivit
yS
tatu
sIn
dex
(DA
SI)
Per
sonal
care
,am
bula
tion,
house
hold
task
s,se
xual
funct
ion,
recr
eati
onal
acti
vit
ies
12
Mel
sop
etal
.[2
8]
TT
OD
irec
tval
uat
ion
US
US
Pat
ients
wit
hm
ult
ives
sel
coro
nar
yar
tery
dis
ease
and
angin
aor
docu
men
ted
isch
emia
RA
ND
Men
tal
Hea
lth
Inven
tory
(MH
I-5)
Anxie
ty,
dep
ress
ion,
beh
avio
ral
contr
ol,
posi
tive
affe
ct
5
Can
adia
nC
ardio
vas
cula
r
Soci
ety
(CC
S)
Angin
a
Cla
ssifi
cati
on
Sin
gle
item
des
crib
ing
sever
ity
of
angin
a(a
ngin
apai
n)
1
Over
all
hea
lth
rati
ng
5ca
tegori
es:
exce
llen
t,ver
ygood,
good,
fair
,an
dpoor
1
Hea
lth
stat
us
Asi
mple
self
-rat
ing
scal
esc
ori
ng
from
0(w
ors
t)to
100
(bes
t)
1
Can
adia
nC
ardio
vas
cula
r
Soci
ety
(CC
S)
Angin
a
Cla
ssifi
cati
on
Sin
gle
item
des
crib
ing
sever
ity
of
angin
a(a
ngin
apai
n)
1L
ongw
ort
het
al.
[40]
EQ
-5D
Map
pin
gU
KU
KP
atie
nts
had
coro
nar
y
arte
rydis
ease
of
angin
a
or
had
under
gone
pre
vio
us
revas
cula
riza
tion
pro
cedure
s
Bre
athle
ssnes
sG
rade
(BG
)S
ingle
item
des
crib
ing
sever
ity
of
angin
a(b
reat
hle
ssnes
s)
1
Sea
ttle
Angin
aQ
ues
tionnai
re
(SA
Q)
Physi
cal
lim
itat
ion,
angin
alst
abil
ity,
angin
alfr
equen
cy,
trea
tmen
t
sati
sfac
tion,
dis
ease
per
cepti
on
19
Gold
smit
het
al.
[33]
EQ
-5D
Map
pin
gU
KU
KP
atie
nts
wit
hco
ronar
y
hea
rtdis
ease
Wij
eysu
nder
a
etal
.[4
1]
EQ
-5D
Map
pin
gU
SC
anad
aP
atie
nts
wit
hco
ronar
y
hea
rtdis
ease
who
under
wen
tco
ronar
y
angio
gra
phy
Qual Life Res (2013) 22:853–874 857
123
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Ta
ble
1co
nti
nu
ed
Dis
ease
/condit
ion
Par
ent
mea
sure
(DS
M)
Dim
ensi
ons
of
par
ent
mea
sure
No.
of
item
s
Publi
cati
on
refe
rence
Val
uat
ion
tech
niq
ue
Map
pin
gver
sus
dir
ect
val
uat
ion
Sourc
eof
val
ue
(countr
y)
Sourc
eof
sam
ple
(countr
y)
Sourc
eof
pre
fere
nce
s
Chro
nic
liver
dis
ease
Liv
erD
isea
seS
ym
pto
m
Index
(LD
SI)
2.0
LD
SI
mea
sure
sse
ver
ity
of
and
hin
dra
nce
from
9sy
mpto
ms:
itch
,
join
tpai
n,
pai
nin
right
upper
abdom
en,
fati
gue,
worr
yab
out
fam
ily
situ
atio
n,
dec
reas
edap
pet
ite,
dep
ress
ion,
fear
of
com
pli
cati
ons,
jaundic
e
18
Gutt
elin
get
al.
[42]
SF
-6D
Map
pin
gU
KN
ether
lands
Chro
nic
liver
dis
ease
pat
ients
6-i
tem
exte
nsi
on
The
addit
ional
6it
ems:
mem
ory
pro
ble
ms,
chan
ge
of
per
sonal
ity,
hin
dra
nce
infi
nan
cial
affa
irs,
dai
ly
tim
em
anag
emen
t,dec
reas
edse
xual
inte
rest
,dec
reas
edse
xual
acti
vit
y
6
Deg
ener
ativ
edis
k
dis
ease
(cer
vic
al
spin
e)
Cer
vic
alS
pin
eO
utc
om
es
Ques
tionnai
re(C
SO
Q)
Nec
kpai
n,
arm
/should
erpai
n,
funct
ional
dis
abil
ity,
psy
cholo
gic
dis
tres
s,physi
cal
sym
pto
ms,
hea
lth
care
uti
liza
tion
33
Skola
sky
etal
.
[43]
SF
-6D
Map
pin
gU
KU
SP
atie
nts
wit
hce
rvic
al
radic
ulo
pat
hy
or
myel
opat
hy
under
goin
g
ante
rior
cerv
ical
dec
om
pre
ssio
nan
d
fusi
on
Den
tal/
Ora
lhea
lth
Ora
lH
ealt
hIm
pac
tP
rofi
le
(OH
IP-1
4)
Funct
ional
lim
itat
ion,
physi
cal
pai
n,
psy
cholo
gic
aldis
com
fort
,physi
cal
dis
abil
ity,
psy
cholo
gic
aldis
abil
ity,
soci
aldis
abil
ity,
han
dic
ap
14
Bre
nnan
etal
.[4
4]
EQ
-5D
Map
pin
gU
KA
ust
rali
aD
enta
lpat
ients
Ere
ctil
edysf
unct
ion
Inte
rnat
ional
Index
of
Ere
ctil
eD
ysf
unct
ion
(IIE
F)
Ere
ctil
efu
nct
ion,
org
asm
icfu
nct
ion,
sexual
des
ire,
sexual
sati
sfac
tion
15
Sto
lket
al.
[12]
TT
OD
irec
tval
uat
ion
Net
her
lands
Net
her
lands
Gen
eral
popula
tion
Flu
shin
gF
lush
ing
Sym
pto
ms
Ques
tionnai
re(F
SQ
)
Sev
erit
y,
freq
uen
cy,
dura
tion,
and
both
erof
flush
ing,
slee
pdif
ficu
lty
11
Young
etal
.[1
6]
TT
OD
irec
tval
uat
ion
UK
UK
Gen
eral
popula
tion
Gro
wth
horm
one
defi
cien
cy(G
HD
)
QoL
Ass
essm
ent
of
Gro
wth
Horm
one
Defi
cien
cyin
Adult
sques
tionnai
re(Q
oL
-
AG
HD
A)
Pro
ble
ms
wit
hm
emory
and
conce
ntr
atio
n,
tire
dnes
s,te
nse
nes
s,
soci
alis
ola
tion,
self
-confi
den
ce
25
Kolt
ow
ska-
Hag
gst
rom
etal
.
[45]
EQ
-5D
Map
pin
g6
Wes
tern
Euro
pea
n
countr
ies
Sw
eden
Gen
eral
popula
tion
aged
18–85
yea
rs
Hydro
cephal
us
Hydro
cephal
us
Outc
om
e
Ques
tionnai
re(H
OQ
)
Cognit
ive,
physi
cal,
soci
al–em
oti
onal
51
Kulk
arni
[10]
HU
I2M
appin
gC
anad
aC
anad
aC
hil
dre
nw
ith
hydro
cephal
us
atte
ndin
g
outp
atie
nt
clin
ic
Infl
amm
atory
bow
el
dis
ease
(i.e
.,
Cro
hn’s
dis
ease
)
Infl
amm
atory
Bow
elD
isea
se
Ques
tionnai
re(I
BD
Q)
Bow
elsy
mpto
ms,
syst
emic
sym
pto
ms,
emoti
onal
funct
ion,
soci
alfu
nct
ion
32
Buxto
net
al.
[46]
EQ
-5D
SF
-6D
Map
pin
gU
K(E
Q-5
D);
UK
(SF
-6D
)
UK
Pat
ients
wit
hm
oder
atel
yto
sever
ely
acti
ve
Cro
hn’s
dis
ease
Cro
hn’s
Dis
ease
Act
ivit
y
Index
(CD
AI)
Item
sdes
crib
ing
sym
pto
ms
in
Cro
hn’s
dis
ease
8
Men
opau
seQ
ual
iPau
seIn
ven
tory
(QP
I)P
sych
olo
gic
al,
physi
cal,
vas
om
oto
r,
sexual
,m
enst
rual
,an
dro
gen
ic
com
pla
ints
39
Bra
zier
etal
.[1
3]
TT
OD
irec
tval
uat
ion
UK
UK
Wom
enag
ed45
to60
Men
tal
hea
lth
Gen
eral
Hea
lth
Ques
tionnai
re
(GH
Q-1
2)
Rec
ent
sym
pto
ms,
feel
ing,
beh
avio
r12
Ser
rano-A
guil
ar
etal
.[4
7]
EQ
-5D
Map
pin
gS
pai
nS
pai
nG
ener
alpopula
tion
858 Qual Life Res (2013) 22:853–874
123
![Page 7: Quality of Life Research Volume 22 Issue 4 2013 [Doi 10.1007%2Fs11136-012-0207-6] Fang-Ju Lin, Louise Longworth, A. Simon Pickard -- Evaluation of Content on EQ-5D as Compared to Disease-specific](https://reader034.vdocument.in/reader034/viewer/2022051116/55cf966e550346d0338b6c69/html5/thumbnails/7.jpg)
Ta
ble
1co
nti
nu
ed
Dis
ease
/condit
ion
Par
ent
mea
sure
(DS
M)
Dim
ensi
ons
of
par
ent
mea
sure
No.
of
item
s
Publi
cati
on
refe
rence
Val
uat
ion
tech
niq
ue
Map
pin
gver
sus
dir
ect
val
uat
ion
Sourc
eof
val
ue
(countr
y)
Sourc
eof
sam
ple
(countr
y)
Sourc
eof
pre
fere
nce
s
Obes
ity
Impac
tof
Wei
ght
on
Qual
ity
of
Lif
e-L
ite
(IW
QO
L-l
ite)
Physi
cal
funct
ion,
self
-est
eem
,se
xual
life
,publi
cdis
tres
s,w
ork
31
Bra
zier
etal
.[2
7]
SF
-6D
Map
pin
gU
KU
KC
om
munit
yvolu
nte
ers
and
par
tici
pan
tsin
wei
ght
loss
pro
gra
ms,
clin
ical
tria
ls,
and
gas
tric
bypas
s
studie
s
Moore
hea
d-A
rdel
tII
ques
tionnai
re(M
A-I
I)
Mood,
physi
cal
funct
ion,
soci
al
rela
tionsh
ips,
abil
ity
tow
ork
,
sexual
ity,
eati
ng
beh
avio
r
6S
auer
land
etal
.
[29]
EQ
-5D
SF
-6D
Map
pin
g6
Wes
tern
Euro
pea
n
countr
ies
(EQ
-5D
);
UK
(SF
-6D
)
Ger
man
y,
Cze
chia
,It
aly,
Spai
n
Morb
idly
obes
epat
ients
bef
ore
or
afte
rbar
iatr
ic
surg
ery
Ocu
lar
dis
ease
Vis
ual
acuit
y(m
easu
red
usi
ng
the
Snel
len
eye
char
t)
Sin
gle
item
des
crib
ing
deg
ree
of
vis
ual
acuit
y
1S
har
ma
etal
.[4
8]
TT
OD
irec
tval
uat
ion
US
US
Pat
ients
wit
hvar
ious
ocu
lar
condit
ions
Ost
eoar
thri
tis
(OA
)W
este
rnO
nta
rio
and
McM
aste
rU
niv
ersi
ty
Ost
eoar
thri
tis
Index
(WO
MA
C)
Pai
n,
stif
fnes
s,physi
cal
funct
ion
24
Gro
ote
ndors
tet
al.
[49]
HU
I3M
appin
gC
anad
aC
anad
aO
utp
atie
nts
wit
hknee
OA
Bar
ton
etal
.[5
0]
EQ
-5D
Map
pin
gU
KU
KP
atie
nts
who
aged
C45
yea
rs,
wit
h
BM
I[
28
kg/m
2,
and
knee
pai
n
Xie
etal
.[5
1]
EQ
-5D
Map
pin
gJa
pan
Sin
gap
ore
Pat
ients
wit
hknee
OA
Oti
tis
med
iaw
ith
effu
sion
(OM
E)
OM
E-s
pec
ific
Oti
tis
Med
ia
Ques
tionnai
re(O
M8-3
0)
Glo
bal
hea
lth,
resp
irat
ory
sym
pto
ms,
ear
pro
ble
ms,
slee
p,
beh
avio
r,
spee
chan
dla
nguag
e,sc
hool
pro
spec
ts,
par
ent
qual
ity
of
life
,
report
edhea
ring
dif
ficu
ltie
s
32
Dak
inet
al.
[52]
HU
I3
HU
I2
Map
pin
gC
anad
aU
KC
hil
dre
nw
ith
OM
E
Over
acti
ve
bla
dder
Over
acti
ve
Bla
dder
Ques
tionnai
re(O
AB
-q)
Copin
g,
conce
rn,
slee
p,
soci
al
inte
ract
ion,
sym
pto
mboth
ersc
ale
33
Yan
get
al.
[9]
TT
OD
irec
tval
uat
ion
UK
UK
Gen
eral
popula
tion
Pai
n(b
ack
and
leg)
Osw
estr
yD
isab
ilit
yIn
dex
(OD
I)
Bac
k-s
pec
ific
funct
ions:
pai
n
inte
nsi
ty,
per
sonal
care
,li
ftin
g,
wal
kin
g,
sitt
ing,
stan
din
g,
slee
pin
g,
work
,so
cial
life
,an
dtr
avel
ing
10
Car
reon
etal
.[5
3]
SF
-6D
Map
pin
gU
KU
KP
atie
nts
under
goin
glu
mbar
fusi
on
for
deg
ener
ativ
e
dis
ord
ers
Bac
kP
ain
Num
eric
Rat
ing
Sca
le(B
PN
RS
)
Sin
gle
item
des
crib
ing
level
of
bac
k
pai
n
1
Leg
Pai
nN
um
eric
Rat
ing
Sca
le(L
PN
RS
)
Sin
gle
item
des
crib
ing
level
of
leg
pai
n
1
Par
kin
son’s
Dis
ease
(PD
)
Par
kin
son’s
Dis
ease
Ques
tionnai
re(P
DQ
-8)
Mobil
ity,
acti
vit
ies
of
dai
lyli
vin
g,
emoti
onal
wel
l-bei
ng,
soci
al
support
,co
gnit
ion,
com
munic
atio
ns,
bodil
ydis
com
fort
,
stig
ma
8C
heu
ng
etal
.[5
4]
EQ
-5D
Map
pin
gJa
pan
Sin
gap
ore
PD
pat
ients
Pulm
onar
y
hyper
tensi
on
Cam
bri
dge
Pulm
onar
y
Hyper
tensi
on
Outc
om
e
Rev
iew
(CA
MP
HO
R)
QoL
scal
e
Soci
alac
tivit
ies,
trav
elin
g,
dep
enden
ce,
com
munic
atio
n
25
McK
enna
etal
.
[19]
TT
OD
irec
tval
uat
ion
UK
UK
Adult
gen
eral
popula
tion
Qual Life Res (2013) 22:853–874 859
123
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Ta
ble
1co
nti
nu
ed
Dis
ease
/condit
ion
Par
ent
mea
sure
(DS
M)
Dim
ensi
ons
of
par
ent
mea
sure
No.
of
item
s
Publi
cati
on
refe
rence
Val
uat
ion
tech
niq
ue
Map
pin
gver
sus
dir
ect
val
uat
ion
Sourc
eof
val
ue
(countr
y)
Sourc
eof
sam
ple
(countr
y)
Sourc
eof
pre
fere
nce
s
Rheu
mat
oid
arth
riti
sH
ealt
hA
sses
smen
t
Ques
tionnai
reD
isab
ilit
y
Index
(HA
Q-D
I)
Dre
ssin
g,
aris
ing,
eati
ng,
wal
kin
g,
hygie
ne,
reac
h,
gri
p,
acti
vit
ies,
usi
ng
aids
or
dev
ices
,hel
pfr
om
oth
erin
div
idual
s
42
Ban
sbac
ket
al.
[55]
EQ
-5D
SF
-6D
Map
pin
gU
K(E
Q-5
D);
UK
(SF
-6D
)
Can
ada,
UK
Rheu
mat
oid
arth
riti
s
pat
ients
Hea
lth
Ass
essm
ent
Ques
tionnai
re(H
AQ
)
Dre
ssin
g,
aris
ing,
eati
ng,
wal
kin
g,
hygie
ne,
reac
h,
gri
p,
acti
vit
ies
20
Wolf
eet
al.
[56]
EQ
-5D
SF
-6D
Map
pin
gU
S(E
Q-5
D);
UK
(EQ
-5D
);
UK
(SF
-6D
)
US
Rheu
mat
oid
arth
riti
s
pat
ients
Hea
lth
Ass
essm
ent
Ques
tionnai
reD
isab
ilit
y
Index
(HA
Q-D
I)
Dre
ssin
g,
aris
ing,
eati
ng,
wal
kin
g,
hygie
ne,
reac
h,
gri
p,
acti
vit
ies
20
Car
reno
etal
.[5
7]
HU
I3
EQ
-5D
Map
pin
gS
pai
n(H
UI3
);
Spai
n(E
Q-
5D
)
Spai
nR
heu
mat
oid
arth
riti
s
pat
ients
Sch
izophre
nia
Posi
tive
and
Neg
ativ
e
Sym
pto
mS
cale
(PA
NS
S)
Posi
tive,
neg
ativ
e,gen
eral
psy
chopat
holo
gy
30
Len
ert
etal
.[5
8]
SG
VA
S
Dir
ect
val
uat
ion
US
US
Hea
lthy
subje
cts
who
volu
nte
ered
topar
tici
pat
e
inIn
tern
etsu
rvey
rese
arch
Sle
epdis
ord
ers
Sle
epP
roble
mIn
dex
-II
(SL
P9)
Sle
epin
itia
tion
pro
ble
ms,
slee
p
mai
nte
nan
cepro
ble
ms,
resp
irat
ory
pro
ble
ms
duri
ng
slee
p,
slee
p
adeq
uac
y,
som
nole
nce
9Y
ang
etal
.[5
9]
SF
-6D
Map
pin
gU
KU
SC
hro
nic
ally
ill
pat
ients
Str
oke
Bar
thel
Index
Fee
din
g,
dre
ssin
g,
gro
om
ing,
bat
hin
g,
toil
etuse
,tr
ansf
er,
stai
rs,
mobil
ity,
bla
dder
,bow
els
10
Mort
imer
etal
.
[60]
Ass
essm
ent
of
Qual
ity
of
Lif
e
(AQ
oL
)
Map
pin
gA
ust
rali
aA
ust
rali
aA
cute
stro
ke
pat
ients
Modifi
edR
ankin
scal
e(m
RS
)S
ingle
item
des
crib
ing
level
of
han
dic
ap(a
ctiv
ity
lim
itat
ions
and
life
style
chan
ges
)
1R
iver
o-A
rias
etal
.
[61]
EQ
-5D
Map
pin
gU
KU
KS
troke
or
tran
sien
t
isch
emic
atta
ckpat
ients
Ulc
erat
ive
coli
tis
(UC
)
Physi
cian
-rat
edU
lcer
ativ
e
Coli
tis
Dis
ease
Act
ivit
y
Index
(UC
DA
I)
Sto
ol
freq
uen
cy,
rect
alble
edin
g,
endosc
opic
eval
uat
ion
of
muco
sa,
physi
cian
glo
bal
asse
ssm
ent
4P
oole
etal
.[2
1]
EQ
-5D
Map
pin
gU
KF
rance
,U
K,S
pai
n,
Ger
man
y,
Net
her
lands,
Sw
eden
Pat
ients
wit
hex
tensi
ve
acti
ve
UC
Uri
nar
yin
conti
nen
ceK
ing’s
Hea
lth
Ques
tionnai
re
(KH
Q)
Uri
nar
ysy
mpto
mse
ver
ity,
role
lim
itat
ions,
physi
cal
funct
ionin
g,
soci
alfu
nct
ionin
g,
emoti
onal
pro
ble
ms,
per
sonal
rela
tionsh
ips,
slee
pdis
turb
ance
,gen
eral
hea
lth
21
Bra
zier
etal
.[2
0]
SG
Dir
ect
val
uat
ion
UK
UK
Pat
ients
wit
huri
nar
y
inco
nti
nen
ceat
tendin
g
hosp
ital
outp
atie
nt
clin
ics
HU
IH
ealt
hU
tili
ties
Index
,SG
stan
dar
dgam
ble
,T
TO
tim
etr
adeo
ff,
UK
Unit
edK
ingdom
,U
SU
nit
edS
tate
s,V
AS
vis
ual
anal
og
scal
e
860 Qual Life Res (2013) 22:853–874
123
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the validity of the mapping function assessed by applying it
to external validation sample and comparing the predicted
and observed values. Alternatively, sets of health state sce-
narios (health state classification system) were first devel-
oped based on the items of disease-specific measure, which
were then directly valued by a representative sample of
population (valuation survey) to yield the estimated prefer-
ence weights or scoring algorithm [9, 12–20]. This approach
was mostly adopted in the studies that include conversions to
utility metrics of rating scales, standard gamble, and time
tradeoff. Other methods have also been explored. For
instance, Poole et al. [21] mapped the DSM onto the response
of each EQ-5D domain, rather than directly onto the generic
utility scores (i.e., EQ-5D index). Grimison et al. [22] con-
verted the subscales of DSM into a subset index and com-
bined it with the global scale into an overall HRQoL index,
which was then converted to a utility index.
Of a total of 50 papers, 34 studies used a mapping
approach, while 16 studies were based on direct valuation.
Twenty-five studies mapped a DSM onto EQ-5D to derive
a utility function (DSPM). As shown in Table 2, although
all studies attempted to generate utility scores that theo-
retically have an upper range of 1, a few algorithms appear
to generate utility scores that exceed the upper limit (e.g.,
1.04). The goodness-of-fit statistics such as R2 and RMSE
indicated that the model performance varied dramatically
across studies.
To identify aspects of HRQoL where the EQ-5D may
provide insufficient coverage, we examined the overlap of
core dimensions between each DSPM and EQ-5D. In
cancer, cognitive functioning [23–26] and social well-
being [15, 18] were dimensions not explicitly covered by
the EQ-5D based on face validity (Table 3). Sexual func-
tioning, which is not explicitly included among EQ-5D
dimensions, was a component of HRQoL on several
DSPMs, including those relating to coronary artery disease
(CAD), obesity, erectile dysfunction, and menopause [12,
13, 27–29]. Self-esteem (obesity), self-confidence (growth
hormone deficiency), coping (overactive bladder), social
relationships (obesity and growth hormone deficiency),
cognition (Parkinson’s disease, hydrocephalus, and chronic
liver diseases), treatment satisfaction (CAD), vision (age-
related macular degeneration), and visual acuity (ocular
disease) were also dimensions of HRQoL not on the EQ-
5D that were covered by DSPM. Conversely, the EQ-5D
had content coverage of generic dimensions of HRQoL that
were often omitted from DSPM.
Discussion
EQ-5D is a generic preference-based instrument designed
to measure health-related quality of life and characterized
by ease of administration. However, given the parsimony
in the dimensions and levels of questionnaire, it potentially
lacks the ability to discriminate among and respond to
changes in patients with health-related problems and
symptoms relevant to a certain disease. We examined the
face validity of disease-specific utility measures in the
literature in order to identify dimensions of health and
well-being included in those measures that are not explic-
itly covered by the EQ-5D. Differences in the face validity
between disease-specific measures and generic measures
like the EQ-5D may be a major reason that different
responses can be reported for a particular condition by the
same respondent, despite the similarities in the nature of
the domains. In order to provide broader insights into this
issue, we did not limit our study strictly to studies
involving EQ-5D as the generic preference-based measure.
The review identified several candidate dimensions of
HRQoL in condition where bolt-ons may warrant further
investigation.
This review is only an initial step in examining the
possible candidate conditions in which bolt-ons may be
considered. For studies of which target mapping measures
are not EQ-5D, examining the dimensions on DSPM that
are missing from EQ-5D helps to identify the absence of
content coverage of EQ-5D. It gives an indication of the
dimensions that have been considered as important in the
development of disease-specific measures of HRQoL and
whether these are explicitly included in EQ-5D. Utility
value sets directly derived from respondents are the most
likely sources of information to help identify potential
‘‘bolt-on’’ dimensions that provide unique explanatory
power for overall utility scores above and beyond the EQ-
5D core dimensions. We identified several candidate
dimensions in condition where bolt-ons may be justified,
such as coping (overactive bladder), social relationships
(cancer), cognition (cancer), sexual function (coronary
heart disease, erectile dysfunction, and menopause), and
visual functioning (ocular disease).
If failure to capture differences in HRQoL occurs, it
may be a function of the absence of content coverage or
due to the lack of precision/granularity of the measure.
Many of the DSPM studies derived algorithms with content
that extensively overlapped with the content on the EQ-5D.
DSPM studies that used EQ-5D utility scores as the basis
for the mapping algorithm, especially those without model
variable selection, were unlikely to provide insight into the
content areas missing from the EQ-5D, even though the
inherent lack of overlap between DSM and EQ-5D is a
major contributor to the predictive ability of the model
(e.g., can be indicated by R2 or other goodness-of-fit sta-
tistics). Nonetheless, these studies, while parallelizing the
dimensions contained in the DSPM and EQ-5D, can sug-
gest dimensions where EQ-5D may lack precision of
Qual Life Res (2013) 22:853–874 861
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Ta
ble
2S
um
mar
yo
fst
atis
tic
resu
lts
inst
ud
ies
wit
hD
SP
Ms
Dis
ease
/condit
ion
Par
ent
mea
sure
(DS
M)
Publi
cati
on
refe
rence
Val
uat
ion
tech
niq
ue
Map
pin
g
ver
sus
dir
ect
val
uat
ion
Sam
ple
size
(par
tici
pan
ts)
Theo
reti
cal
range
of
uti
lity
score
*G
oodnes
s-of-
fit
stat
isti
csof
esti
mat
ion
model
*
Min
imum
Max
imum
R2
RM
SE
Age-
rela
ted
mac
ula
r
deg
ener
atio
n
(AM
D)
Nat
ional
Eye
Inst
itute
Vis
ion
Funct
ion
Ques
tionnai
re(N
EI-
VF
Q25)
Pay
akac
hat
etal
.
[34]
EQ
-5D
Map
pin
g151
(use
oth
er393
pat
ients
for
val
idat
ion)
0.4
01.0
20.2
53
(dev
elopm
enta
l
sam
ple
);0.2
58
(cro
ss-
val
idat
ion
sam
ple
)
0.1
776
Ast
hm
aA
sthm
aQ
ual
ity
of
Lif
e
Ques
tionnai
re(A
QL
Q)
Tsu
chiy
aet
al.
[11]
EQ
-5D
Map
pin
g3,0
00
N/A
N/A
Adju
sted
R2:
Ran
ge
from
0.3
7to
0.4
0(a
cross
3dat
a
sets
)
0.2
02–0.2
19
(acr
oss
3
dat
ase
ts)
Ato
pic
der
mat
itis
(in
chil
dre
n)
Par
ents
’In
dex
of
Qual
ity
of
Lif
e-
Ato
pic
Der
mat
itis
(PIQ
oL
-
AD
)—ch
ild-c
ente
red
Ste
ven
set
al.
[17]
SG
Dir
ect
val
uat
ion
150
0.3
60.8
4N
/AN
/A
Can
cer
Funct
ional
Ass
essm
ent
of
Can
cer
Ther
apy-G
ener
al(F
AC
T-G
)
Dobre
zet
al.
[35]
TT
OD
irec
t
val
uat
ion
717
(tota
lly
1,4
33
pat
ients
enro
lled
;th
e
oth
er716
for
val
idat
ion)
0.5
01.0
40.1
7M
AE
:0.1
9
Cheu
ng
etal
.[3
6]
EQ
-5D
Map
pin
g558
(308
use
dE
ngli
sh
and
250
use
d
Chin
ese
ques
tionnai
res)
0.3
91.0
00.4
2M
AE
:0.0
95
Rott
erdam
Sym
pto
mC
hec
kli
sts
(RS
C)/
Hosp
ital
Anxie
tyan
d
Dep
ress
ion
Sca
le(H
AD
S)/
Addit
ional
8ques
tions
in
per
form
ance
and
acti
vit
y
Chan
cell
or
etal
.
[37]
EQ
-5D
HU
I3
Map
pin
g98
N/A
N/A
N/A
N/A
Uti
lity
-Bas
edQ
ues
tionnai
re-
Can
cer
(UB
Q-C
)
Gri
mis
on
etal
.
[22]
TT
OD
irec
t
val
uat
ion
204
N/A
N/A
N/A
N/A
Euro
pea
nO
rgan
izat
ion
for
Res
earc
han
dT
reat
men
tof
Can
cer
Qual
ity
of
Lif
e
Ques
tionnai
re(E
OR
TC
QL
Q-
C30)
Konto
dim
opoulo
s
etal
.[2
3]
EQ
-5D
SF
-6D
15D
Map
pin
g48
-0.1
8(E
Q-
5D
);0.2
1
(SF
-6D
);0.1
6
(15D
)
1.1
9(E
Q-5
D);
0.8
4(S
F-6
D);
1.0
2(1
5D
)
Adju
sted
R2:
0.6
11
(EQ
-
5D
);0.8
33
(SF
-6D
);0.9
09
(15D
)
0.1
92
(EQ
-5D
);0.0
38
(SF
-6D
);0.0
50
(15D
)
McK
enzi
eet
al.
[24]
EQ
-5D
Map
pin
g199
N/A
N/A
Adju
sted
R2:
0.6
11
N/A
Pic
kar
det
al.
[25]
TT
OD
irec
t
val
uat
ion
1,4
32
0.6
3(m
ult
i-
attr
ibute
appro
ach);
0.1
7(g
lobal
appro
ach)
1.0
0(b
oth
mult
i-
attr
ibute
and
glo
bal
appro
aches
)
[Over
all]
pse
udo-R
2:
0.0
82
(mult
i-at
trib
ute
appro
ach);
0.1
34
(glo
bal
appro
ach)
[Cro
ss-v
alid
atio
n]
pse
udo-
R2:
0.0
56
(mult
i-at
trib
ute
appro
ach);
0.1
27
(glo
bal
appro
ach)
[Over
all]
MA
E:
0.1
84
(mult
i-at
trib
ute
appro
ach);
0.1
76
(glo
bal
appro
ach)
Cro
ttet
al.
[38]
EQ
-5D
Map
pin
g448
N/A
N/A
Adju
sted
R2:
0.8
01
0.0
96
Jang
etal
.[3
9]
EQ
-5D
Map
pin
g172
N/A
N/A
Adju
sted
R2:
0.5
80.1
41
(usi
ng
tenfo
ld
cross
-val
idat
ion)
Can
cer-
lung
FA
CT
-Lung
(FA
CT
-L)
ver
sion
4K
ind
etal
.[1
5]
VA
SD
irec
t
val
uat
ion
433
0.1
10.7
00.4
1an
d0.4
4(g
iven
2se
ts
of
hea
lth
stat
e
ques
tionnai
re)
N/A
Lam
ers
etal
.[1
8]
VA
SD
irec
t
val
uat
ion
961
0.0
80.9
3N
/AN
/A
862 Qual Life Res (2013) 22:853–874
123
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Ta
ble
2co
nti
nu
ed
Dis
ease
/condit
ion
Par
ent
mea
sure
(DS
M)
Publi
cati
on
refe
rence
Val
uat
ion
tech
niq
ue
Map
pin
g
ver
sus
dir
ect
val
uat
ion
Sam
ple
size
(par
tici
pan
ts)
Theo
reti
cal
range
of
uti
lity
score
*G
oodnes
s-of-
fit
stat
isti
csof
esti
mat
ion
model
*
Min
imum
Max
imum
R2
RM
SE
Can
cer-
pro
stat
eF
AC
T-P
rost
ate
(FA
CT
-P)/
EO
RT
CQ
LQ
-C30
Wu
etal
.[2
6]
EQ
-5D
Map
pin
g280
N/A
N/A
0.7
32
(dev
elopm
enta
l
sam
ple
);0.5
82
(cro
ss-
val
idat
ion
sam
ple
)
MA
E:
0.1
46
Chro
nic
obst
ruct
ive
pulm
onar
y
dis
ease
(CO
PD
)
exac
erbat
ion
Exac
erbat
ions
of
Chro
nic
Pulm
onar
yD
isea
seT
ool
(EX
AC
T)
Pet
rill
oet
al.
[14
]T
TO
Dir
ect
val
uat
ion
348
(use
oth
er50
pat
ients
for
val
idat
ion)
0.0
90.9
5N
/A0.0
54
Coro
nar
yar
tery
dis
ease
Duke
Act
ivit
yS
tatu
sIn
dex
(DA
SI)
/RA
ND
Men
tal
Hea
lth
Inven
tory
(MH
I-5)/
Can
adia
n
Car
dio
vas
cula
rS
oci
ety
(CC
S)
Angin
aC
lass
ifica
tion/O
ver
all
hea
lth
rati
ng/H
ealt
hst
atus
Mel
sop
etal
.[2
8]
TT
OD
irec
t
val
uat
ion
553
0.0
50.9
96-v
aria
ble
model
:0.3
18;
5-v
aria
ble
model
:0.3
07;
4-v
aria
ble
model
:0.2
87
N/A
Can
adia
nC
ardio
vas
cula
rS
oci
ety
(CC
S)
Angin
aC
lass
ifica
tion/
Bre
athle
ssnes
sG
rade
(BG
)
Longw
ort
het
al.
[40]
EQ
-5D
Map
pin
g510
0.3
1(a
ssum
ed
no
med
icat
ion
use
)
0.9
1A
dju
sted
R2:
0.3
70.4
76
Sea
ttle
Angin
aQ
ues
tionnai
re
(SA
Q)
Gold
smit
het
al.
[33]
EQ
-5D
Map
pin
g2,8
55
(use
oth
er1,8
87
pat
ients
for
val
idat
ion)
N/A
N/A
Adju
sted
R2:
0.4
8
(dev
elopm
enta
lsa
mple
);
0.4
4(c
ross
-val
idat
ion
sam
ple
)
0.1
7
Wij
eysu
nder
a
etal
.[4
1]
EQ
-5D
Map
pin
g1,9
92
0.4
21.0
0A
dju
sted
R2:
0.4
5
(dev
elopm
enta
lsa
mple
);
0.3
8(c
ross
-val
idat
ion
sam
ple
)
MA
E:
0.0
89
Chro
nic
liver
dis
ease
Liv
erD
isea
seS
ym
pto
mIn
dex
(LD
SI)
2.0
wit
h6-i
tem
exte
nsi
on
Gutt
elin
get
al.
[42]
SF
-6D
Map
pin
g1,1
75
N/A
N/A
[In
all
CL
Dpat
ients
exce
pt
for
HC
V]:
0.5
2;
[In
pat
ients
wit
hH
CV
]:0.6
4
N/A
Deg
ener
ativ
edis
k
dis
ease
(cer
vic
al
spin
e)
Cer
vic
alS
pin
eO
utc
om
es
Ques
tionnai
re(C
SO
Q)
Skola
sky
etal
.
[43]
SF
-6D
Map
pin
g164
(use
oth
er328
pat
ients
for
val
idat
ion)
N/A
N/A
0.6
46
0.0
698
Den
tal/
Ora
lhea
lth
Ora
lH
ealt
hIm
pac
tP
rofi
le
(OH
IP-1
4)
Bre
nnan
etal
.[4
4]
EQ
-5D
Map
pin
g209
(tota
lly
375
pat
ients
enro
lled
;
else
for
val
idat
ion)
N/A
N/A
Pse
udo-R
2:
0.6
6(c
ateg
ori
cal
model
);0.6
2(c
onti
nuous/
item
model
)
Mea
nre
lati
ve
fore
cast
erro
r:17.4
%
(cat
egori
cal
model
);
15.2
%(c
onti
nuous/
item
model
)
Ere
ctil
e
dysf
unct
ion
Inte
rnat
ional
Index
of
Ere
ctil
e
Dysf
unct
ion
(IIE
F)
Sto
lket
al.
[12
]T
TO
Dir
ect
val
uat
ion
169
0.7
41.0
0N
/AN
/A
Flu
shin
gF
lush
ing
Sym
pto
ms
Ques
tionnai
re(F
SQ
)
Young
etal
.[1
6]
TT
OD
irec
t
val
uat
ion
1,2
90
0.4
71.0
10.9
58
0.0
42
Gro
wth
horm
one
defi
cien
cy
(GH
D)
QoL
Ass
essm
ent
of
Gro
wth
Horm
one
Defi
cien
cyin
Adult
s
ques
tionnai
re(Q
oL
-AG
HD
A)
Kolt
ow
ska-
Hag
gst
rom
etal
.
[45]
EQ
-5D
Map
pin
g1,9
45
N/A
N/A
0.3
6N
/A
Hydro
cephal
us
Hydro
cephal
us
Outc
om
e
Ques
tionnai
re(H
OQ
)
Kulk
arni
[10
]H
UI2
Map
pin
g79
0.1
51.0
3A
dju
sted
R2:
0.8
0(m
ult
i-
attr
ibute
appro
ach);
0.6
6
(glo
bal
appro
ach)
N/A
Qual Life Res (2013) 22:853–874 863
123
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Ta
ble
2co
nti
nu
ed
Dis
ease
/condit
ion
Par
ent
mea
sure
(DS
M)
Publi
cati
on
refe
rence
Val
uat
ion
tech
niq
ue
Map
pin
g
ver
sus
dir
ect
val
uat
ion
Sam
ple
size
(par
tici
pan
ts)
Theo
reti
cal
range
of
uti
lity
score
*G
oodnes
s-of-
fit
stat
isti
csof
esti
mat
ion
model
*
Min
imum
Max
imum
R2
RM
SE
Infl
amm
atory
bow
eldis
ease
(i.e
.,C
rohn’s
dis
ease
)
Infl
amm
atory
Bow
elD
isea
se
Ques
tionnai
re(I
BD
Q)
Buxto
net
al.
[46]
EQ
-5D
SF
-6D
Map
pin
g905
0.1
7(E
Q-5
D);
0.4
8(S
F-6
D)
0.9
9(E
Q-5
D);
0.9
5(S
F-6
D)
0.4
5(E
Q-5
D);
0.6
4(S
F-6
D)
Mea
nab
solu
te
per
centa
ge
erro
r:
12.2
%(E
Q-5
D);
9.9
%(S
F-6
D)
Cro
hn’s
Dis
ease
Act
ivit
yIn
dex
(CD
AI)
0.2
0(E
Q-5
D)
0.3
6(S
F-6
D)
0.9
2(E
Q-5
D)
0.8
1(S
F-6
D)
0.2
9(E
Q-5
D);
0.3
7(S
F-6
D)
Mea
nab
solu
te
per
centa
ge
erro
r:
13.6
%(E
Q-5
D);
8.0
%(S
F-6
D)
Men
opau
seQ
ual
iPau
seIn
ven
tory
(QP
I)B
razi
eret
al.
[13
]T
TO
Dir
ect
val
uat
ion
199
0.6
10.9
40.1
78
MA
E:
0.0
53
Men
tal
hea
lth
Gen
eral
Hea
lth
Ques
tionnai
re
(GH
Q-1
2)
Ser
rano-A
guil
ar
etal
.[4
7]
EQ
-5D
Map
pin
g3,5
67
N/A
N/A
0.3
7M
ean
rela
tive
fore
cast
erro
r:16
%
Obes
ity
Impac
tof
Wei
ght
on
Qual
ity
of
Lif
e-L
ite
(IW
QO
L-l
ite)
Bra
zier
etal
.[2
7]
SF
-6D
Map
pin
g1,9
72
0.4
90.8
80.5
14
(dev
elopm
enta
l
sam
ple
);0.5
30
(cro
ss-
val
idat
ion
sam
ple
)
0.0
976
Moore
hea
d-A
rdel
tII
ques
tionnai
re(M
A-I
I)
Sau
erla
nd
etal
.
[29]
EQ
-5D
SF
-6D
Map
pin
g893
(cro
ss-v
alid
atio
n
use
dse
cond
hal
fof
the
sam
ple
)
0.4
9(E
Q-5
D);
0.3
8(S
F-6
D)
1.0
0(E
Q-5
D);
0.8
5(S
F-6
D)
Map
pin
gw
ith
EQ
-5D
:0.4
46
(dev
elopm
enta
lsa
mple
);
0.5
51
(cro
ss-v
alid
atio
n
sam
ple
)
Map
pin
gw
ith
SF
-6D
:0.5
72
(dev
elopm
enta
lsa
mple
);
0.5
43
(cro
ss-v
alid
atio
n
sam
ple
)
Mea
nab
solu
te
per
centa
ge
erro
r:20
%
(EQ
-5D
);11
%
(SF
-6D
)
Ocu
lar
dis
ease
Vis
ual
acuit
y(m
easu
red
usi
ng
the
Snel
len
eye
char
t)
Shar
ma
etal
.[4
8]
TT
OD
irec
t
val
uat
ion
239
0.5
50.8
90.1
73
N/A
Ost
eoar
thri
tis
Wes
tern
Onta
rio
and
McM
aste
r
Univ
ersi
tyO
steo
arth
riti
sIn
dex
(WO
MA
C)
Gro
ote
ndors
tet
al.
[49]
HU
I3M
appin
g255
N/A
N/A
Adju
sted
R2:
0.3
90.2
1
Bar
ton
etal
.[5
0]
EQ
-5D
Map
pin
g348
N/A
N/A
Adju
sted
R2:
0.3
13
0.1
80
Xie
etal
.[5
1]
EQ
-5D
Map
pin
g258
0.5
69
0.8
34
Adju
sted
R2:
0.4
49
0.0
95
Oti
tis
med
iaw
ith
effu
sion
(OM
E)
OM
E-s
pec
ific
Oti
tis
Med
ia
Ques
tionnai
re(O
M8-3
0)
Dak
inet
al.
[52
]H
UI3
HU
I2
Map
pin
g217
N/A
N/A
0.6
258
(HU
I3);
N/A
(HU
I2)
0.1
744
(HU
I3);
N/A
(HU
I2)
Over
acti
ve
bla
dder
Over
acti
ve
Bla
dder
Ques
tionnai
re
(OA
B-q
)
Yan
get
al.
[9]
TT
OD
irec
t
val
uat
ion
312
0.6
11.0
0N
/AM
AE
:0.0
45
Pai
n(b
ack
and
leg)
Osw
estr
yD
isab
ilit
yIn
dex
(OD
I)/
Bac
kP
ain
Num
eric
Rat
ing
Sca
le(B
PN
RS
)/L
egP
ain
Num
eric
Rat
ing
Sca
le
(LP
NR
S)
Car
reon
etal
.[5
3]
SF
-6D
Map
pin
g2,6
40
(use
ase
par
ate,
indep
enden
tdat
ase
t
of
2,1
74
pat
ients
for
val
idat
ion)
0.2
8(w
ith
OD
I,
BP
NR
S,
and
LP
NR
Sin
the
model
);
0.2
6(w
ith
only
OD
Iin
the
model
);
0.8
0(w
ith
OD
I,
BP
NR
S,
and
LP
NR
Sin
the
model
);
0.7
8(w
ith
only
OD
Iin
the
model
);
0.6
9(w
ith
OD
I,B
PN
RS
,
and/o
rL
PN
RS
inth
e
model
);
0.6
7(w
ith
only
OD
Iin
the
model
)
0.0
76
(wit
hO
DI,
BP
NR
S,
and/o
r
LP
NR
Sin
the
model
);
0.0
78
(wit
honly
OD
Iin
the
model
)
Par
kin
son’s
Dis
ease
(PD
)
Par
kin
son’s
Dis
ease
Ques
tionnai
re(P
DQ
-8)
Cheu
ng
etal
.[5
4]
EQ
-5D
Map
pin
g162
(tota
lly
324
pat
ients
enro
lled
,th
e
oth
er162
for
val
idat
ion)
0.2
80.8
70.5
21
(dev
elopm
enta
l
sam
ple
);0.4
43
(cro
ss-
val
idat
ion
sam
ple
)
MA
E:
0.0
85
(dev
elopm
enta
l
sam
ple
);0.0
96
(cro
ss-
val
idat
ion
sam
ple
)
864 Qual Life Res (2013) 22:853–874
123
![Page 13: Quality of Life Research Volume 22 Issue 4 2013 [Doi 10.1007%2Fs11136-012-0207-6] Fang-Ju Lin, Louise Longworth, A. Simon Pickard -- Evaluation of Content on EQ-5D as Compared to Disease-specific](https://reader034.vdocument.in/reader034/viewer/2022051116/55cf966e550346d0338b6c69/html5/thumbnails/13.jpg)
Ta
ble
2co
nti
nu
ed
Dis
ease
/condit
ion
Par
ent
mea
sure
(DS
M)
Publi
cati
on
refe
rence
Val
uat
ion
tech
niq
ue
Map
pin
g
ver
sus
dir
ect
val
uat
ion
Sam
ple
size
(par
tici
pan
ts)
Theo
reti
cal
range
of
uti
lity
score
*G
oodnes
s-of-
fit
stat
isti
csof
esti
mat
ion
model
*
Min
imum
Max
imum
R2
RM
SE
Pulm
onar
y
hyper
tensi
on
Cam
bri
dge
Pulm
onar
y
Hyper
tensi
on
Outc
om
eR
evie
w
(CA
MP
HO
R)
QoL
scal
e
McK
enna
etal
.
[19]
TT
OD
irec
t
val
uat
ion
249
0.1
40.9
6A
dju
sted
R2:
0.9
36
MA
E:
0.0
41
Rheu
mat
oid
arth
riti
s
Hea
lth
Ass
essm
ent
Ques
tionnai
re
Dis
abil
ity
Index
(HA
Q-D
I)
Ban
sbac
ket
al.
[55]
EQ
-5D
SF
-6D
Map
pin
g131
inU
K,
and
308
in
Can
ada
-0.8
7(E
Q-
5D
);0.4
9
(SF
-6D
)
0.9
9(E
Q-5
D);
0.8
2(S
F-6
D)
Mar
gin
alR
2:
0.5
7(E
Q-5
D);
0.5
0(S
F-6
D)
0.1
8(E
Q-5
D);
0.0
9
(SD
-6D
)
Hea
lth
Ass
essm
ent
Ques
tionnai
re
(HA
Q)
Wolf
eet
al.
[56]
EQ
-5D
SF
-6D
Map
pin
g10,8
95
0.3
4(U
SE
Q-
5D
);0.0
8
(UK
EQ
-5D
);
0.4
2(S
F-6
D)
0.9
5(U
SE
Q-
5D
);0.9
6
(UK
EQ
-5D
);
0.8
4(S
F-6
D)
Adju
sted
R2:
0.5
7(U
SE
Q-
5D
);0.5
5(U
KE
Q-5
D);
0.5
2(S
F-6
D)
0.1
2(U
SE
Q-5
D);
0.1
9
(UK
EQ
-5D
);0.0
9
(SF
-6D
)
Hea
lth
Ass
essm
ent
Ques
tionnai
re
Dis
abil
ity
Index
(HA
Q-D
I)
Car
reno
etal
.[5
7]
HU
I3
EQ
-5D
Map
pin
g244
0.3
5(H
UI3
);
0.0
3(E
Q-5
D)
0.9
5(H
UI3
);
0.9
6(E
Q-5
D)
Adju
sted
R2:
0.5
6(H
UI3
);
0.5
4(E
Q-5
D)
N/A
Sch
izophre
nia
Posi
tive
and
Neg
ativ
eS
ym
pto
m
Sca
le(P
AN
SS
)
Len
ert
etal
.[5
8]
SG
VA
S
Dir
ect
val
uat
ion
441
0.4
2(S
G);
0.1
8
(VA
S)
0.1
8(S
G);
0.7
2
(VA
S)
N/A
N/A
Sle
epdis
ord
ers
Sle
epP
roble
mIn
dex
-II
(SL
P9)
Yan
get
al.
[59]
SF
-6D
Map
pin
g1,0
00
0.5
20.8
90.3
4(b
oth
dev
elopm
enta
l
sam
ple
and
cross
-
val
idat
ion
sam
ple
)
13.9
7
Str
oke
Bar
thel
Index
Mort
imer
etal
.
[60]
Ass
essm
ent
of
Qual
ity
of
Lif
e
(AQ
oL
)
Map
pin
g859
[Index
-bas
ed
algori
thm
]:
0.1
8;
[Ite
m-b
ased
algori
thm
]:
0.1
2
[Index
-bas
ed
algori
thm
]:
0.6
2;
[Ite
m-b
ased
algori
thm
]:
0.7
2
[Index
-bas
edal
gori
thm
]:
0.6
3;
[Ite
m-b
ased
algori
thm
]:
0.6
3;
N/A
Modifi
edR
ankin
scal
e(m
RS
)R
iver
o-A
rias
etal
.
[61]
EQ
-5D
Map
pin
g1,2
83
-0.0
60.9
4[O
LS
model
]:R
20.4
503;
[ML
ogit
model
]:P
seudo-R
2
ranged
from
0.0
442
to
0.4
061
acro
ssth
e5
dim
ensi
ons
inE
Q-5
D
[OL
Sm
odel
]:0.2
1;
[ML
ogit
model
]:0.2
1
Ulc
erat
ive
coli
tis
(UC
)
Physi
cian
-rat
edU
lcer
ativ
eC
oli
tis
Dis
ease
Act
ivit
yIn
dex
(UC
DA
I)
Poole
etal
.[2
1]
EQ
-5D
Map
pin
g126
(use
oth
er359
pat
ients
for
val
idat
ion)
N/A
N/A
N/A
0.1
38
Uri
nar
y
inco
nti
nen
ce
Kin
g’s
Hea
lth
Ques
tionnai
re
(KH
Q)
Bra
zier
etal
.[2
0]
SG
Dir
ect
val
uat
ion
110
0.8
91.0
0A
dju
sted
R2:
0.3
2M
AE
:0.0
18
HU
IH
ealt
hU
tili
ties
Index
,M
AE
mea
nab
solu
teer
ror,
N/A
not
avai
lable
or
not
appli
cable
,O
LS
ord
inar
yle
ast
squar
e,R
MSE
root
mea
nsq
uar
eder
ror,
SG
stan
dar
dgam
ble
,T
TO
tim
etr
adeo
ff,
UK
Unit
edK
ingdom
,U
SU
nit
edS
tate
s,
VA
Svis
ual
anal
og
scal
e
*B
ased
on
mult
i-at
trib
ute
algori
thm
reco
mm
ended
by
auth
ors
Qual Life Res (2013) 22:853–874 865
123
![Page 14: Quality of Life Research Volume 22 Issue 4 2013 [Doi 10.1007%2Fs11136-012-0207-6] Fang-Ju Lin, Louise Longworth, A. Simon Pickard -- Evaluation of Content on EQ-5D as Compared to Disease-specific](https://reader034.vdocument.in/reader034/viewer/2022051116/55cf966e550346d0338b6c69/html5/thumbnails/14.jpg)
Ta
ble
3C
om
par
iso
no
fco
red
imen
sio
ns
inD
SP
Man
dE
Q-5
D
Dis
ease
/
condit
ion
Par
ent
mea
sure
(DS
M)
Publi
cati
on
refe
rence
Val
uat
ion
tech
niq
ue
Dim
ensi
ons
of
DS
Min
volv
edin
final
(or
most
reco
mm
ended
)
DS
PM
Conte
nt
val
idit
yev
aluat
ion
wit
hD
SP
Man
dE
Q-5
D
Over
lappin
gof
DS
PM
and
EQ
-5D
Dim
ensi
ons
on
DS
PM
mis
sing
from
EQ
-5D
Dim
ensi
ons
on
EQ
-5D
mis
sing
from
DS
PM
Dim
ensi
ons
on
DS
PM
cover
edby
EQ
-5D
Dim
ensi
onal
equiv
alen
tin
EQ
-5D
Age-
rela
ted
mac
ula
r
deg
ener
atio
n
(AM
D)
Nat
ional
Eye
Inst
itute
Vis
ion
Funct
ion
Ques
tionnai
re(N
EI-
VF
Q25)
Pay
akac
hat
etal
.
[34]
EQ
-5D
All
com
ponen
ts(a
sa
com
posi
te
score
)
Ocu
lar
pai
n
Men
tal
hea
lth
Dep
enden
cy
Nea
rac
tivit
ies,
Dis
tance
acti
vit
ies,
Soci
al
funct
ionin
g,
Dri
vin
g,
Role
dif
ficu
ltie
s
Pai
n/D
isco
mfo
rt
Anxie
ty/D
epre
ssio
n
Sel
f-ca
re
Usu
alac
tivit
ies,
Mobil
ity
Gen
eral
vis
ion,
Colo
r
vis
ion,
Per
ipher
al
vis
ion
–
Ast
hm
aA
sthm
aQ
ual
ity
of
Lif
e
Ques
tionnai
re(A
QL
Q)
Tsu
chiy
aet
al.
[11]
EQ
-5D
All
com
ponen
tsS
ym
pto
ms,
Act
ivit
ies,
Em
oti
ons,
Envir
onm
ent
Usu
alac
tivit
ies,
Anxie
ty/
Dep
ress
ion,
Pai
n/
Dis
com
fort
–M
obil
ity,
Sel
f-ca
re
Ato
pic
der
mat
itis
(in
chil
dre
n)
Par
ents
’In
dex
of
Qual
ity
of
Lif
e-A
topic
Der
mat
itis
(PIQ
oL
-
AD
)—ch
ild-c
ente
red
Ste
ven
set
al.
[17
]S
GA
llco
mponen
tsA
ctiv
ity,
Mood,
Set
tled
,S
leep
Usu
alac
tivit
ies,
Anxie
ty/
Dep
ress
ion,
Pai
n/
Dis
com
fort
–M
obil
ity,
Sel
f-ca
re
Can
cer
Funct
ional
Ass
essm
ent
of
Can
cer
Ther
apy-
Gen
eral
(FA
CT
-G)
Dobre
zet
al.
[35]
TT
OP
hysi
cal
wel
l-bei
ng,
Funct
ional
wel
l-bei
ng
Physi
cal
wel
l-bei
ng
Funct
ional
wel
l-bei
ng
Pai
n/D
isco
mfo
rt
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
–A
nxie
ty/
Dep
ress
ion
Cheu
ng
etal
.[3
6]
EQ
-5D
Physi
cal
wel
l-bei
ng,
Em
oti
onal
wel
l-bei
ng,
Funct
ional
wel
l-bei
ng
Physi
cal
wel
l-bei
ng
Em
oti
onal
wel
l-bei
ng
Funct
ional
wel
l-bei
ng
Pai
n/D
isco
mfo
rt
Anxie
ty/D
epre
ssio
n
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
––
Rott
erdam
Sym
pto
m
Chec
kli
sts
(RS
C)/
Hosp
ital
Anxie
tyan
d
Dep
ress
ion
Sca
le
(HA
DS
)/A
ddit
ional
8
ques
tions
in
per
form
ance
and
acti
vit
y
Chan
cell
or
etal
.
[37]
EQ
-5D
,
HU
I3
5it
ems
sele
cted
thro
ugh
fact
or
anal
ysi
s:M
ood/a
nxie
ty,
Sym
pto
ms,
Per
form
ance
,
Funct
ion/m
oti
vat
ion,
Ener
gy/
vit
alit
y
Mood/a
nxie
ty
Sym
pto
ms
Per
form
ance
Anxie
ty/D
epre
ssio
n
Pai
n/D
isco
mfo
rt
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
Funct
ion/m
oti
vat
ion,
Ener
gy/v
ital
ity
–
Uti
lity
-Bas
ed
Ques
tionnai
re-C
ance
r
(UB
Q-C
)
Gri
mis
on
etal
.
[22]
TT
OA
llco
mponen
tsP
hysi
cal
funct
ion,
Soci
al/
usu
alac
tivit
ies,
Sel
f-ca
re
Dis
tres
s
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
Pai
n/D
isco
mfo
rt,
Anxie
ty/
Dep
ress
ion
––
Euro
pea
nO
rgan
izat
ion
for
Res
earc
han
d
Tre
atm
ent
of
Can
cer
Qual
ity
of
Lif
e
Ques
tionnai
re
(EO
RT
CQ
LQ
-C30)
Konto
dim
opoulo
s
etal
.[2
3]
EQ
-5D
,
SF
-6D
,
15D
[Map
pin
gw
ith
EQ
-5D
]:P
hysi
cal
funct
ionin
g,
Em
oti
onal
funct
ionin
g,
Over
all
hea
lth
[Map
pin
gw
ith
SF
-6D
]:S
oci
al
funct
ionin
g,
Over
all
hea
lth,
Em
oti
onal
funct
ionin
g,
Pai
n,
Const
ipat
ion,
Dysp
nea
[Map
pin
gw
ith
15D
]:P
hysi
cal
funct
ionin
g,
Over
all
hea
lth,
Inso
mnia
,C
ognit
ive
funct
ionin
g
Physi
cal,
Soci
alfu
nct
ionin
gU
sual
acti
vit
ies,
Mobil
ity,
Sel
f-ca
re
Cognit
ive
funct
ionin
g–
Em
oti
onal
funct
ionin
gA
nxie
ty/D
epre
ssio
n
Sym
pto
ms
Pai
n/D
isco
mfo
rt
Over
all
hea
lth
866 Qual Life Res (2013) 22:853–874
123
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Ta
ble
3co
nti
nu
ed
Dis
ease
/
condit
ion
Par
ent
mea
sure
(DS
M)
Publi
cati
on
refe
rence
Val
uat
ion
tech
niq
ue
Dim
ensi
ons
of
DS
Min
volv
edin
final
(or
most
reco
mm
ended
)
DS
PM
Conte
nt
val
idit
yev
aluat
ion
wit
hD
SP
Man
dE
Q-5
D
Over
lappin
gof
DS
PM
and
EQ
-5D
Dim
ensi
ons
on
DS
PM
mis
sing
from
EQ
-5D
Dim
ensi
ons
on
EQ
-5D
mis
sing
from
DS
PM
Dim
ensi
ons
on
DS
PM
cover
edby
EQ
-5D
Dim
ensi
onal
equiv
alen
tin
EQ
-5D
Can
cer
Euro
pea
nO
rgan
izat
ion
for
Res
earc
han
d
Tre
atm
ent
of
Can
cer
Qual
ity
of
Lif
e
Ques
tionnai
re
(EO
RT
CQ
LQ
-C30)
McK
enzi
eet
al.
[24]
EQ
-5D
All
com
ponen
tsP
hysi
cal,
Role
,S
oci
al
funct
ionin
g
Em
oti
onal
funct
ionin
g
Sym
pto
ms
Over
all
hea
lth
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
Anxie
ty/D
epre
ssio
n
Pai
n/D
isco
mfo
rt
Cognit
ive
funct
ionin
g–
Pic
kar
det
al.
[25]
TT
OW
ith
mult
i-at
trib
ute
appro
ach:
Physi
cal
funct
ionin
g,
Role
funct
ionin
g,
Fat
igue,
Pai
n,
Cognit
ive
funct
ionin
g
Wit
hglo
bal
appro
ach:
Over
all
hea
lth
Physi
cal,
Role
funct
ionin
gU
sual
acti
vit
ies,
Mobil
ity,
Sel
f-ca
re
Cognit
ive
funct
ionin
gA
nxie
ty/
Dep
ress
ion
Sym
pto
ms
Pai
n/D
isco
mfo
rt
Over
all
hea
lth
Cro
ttet
al.
[38]
EQ
-5D
Physi
cal
funct
ionin
g,
Em
oti
onal
funct
ionin
g,
Soci
alfu
nct
ionin
g,
Sym
pto
ms
(pai
n,
inso
mnia
,
const
ipat
ion,
dia
rrhea
)
Physi
cal,
Soci
alfu
nct
ionin
gU
sual
acti
vit
ies,
Mobil
ity,
Sel
f-ca
re
––
Em
oti
onal
funct
ionin
gA
nxie
ty/D
epre
ssio
n
Sym
pto
ms
Pai
n/D
isco
mfo
rt
Jang
etal
.[3
9]
EQ
-5D
Physi
cal
funct
ionin
g,
Role
funct
ionin
g,
Em
oti
onal
funct
ionin
g,
Soci
alfu
nct
ionin
g,
Pai
n
Physi
cal,
Role
,S
oci
al
funct
ionin
g
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
––
Em
oti
onal
funct
ionin
gA
nxie
ty/D
epre
ssio
n
Pai
nP
ain/D
isco
mfo
rt
Can
cer-
lung
FA
CT
-Lung
(FA
CT
-L)
Ver
sion
4
Kin
det
al.
[15]
VA
SP
hysi
cal
wel
l-bei
ng,
Soci
alw
ell-
bei
ng,
Em
oti
onal
wel
l-bei
ng,
Funct
ional
wel
l-bei
ng,
Gen
eral
sym
pto
m,
Spec
ific
sym
pto
m
Physi
cal
wel
l-bei
ng,
Sym
pto
ms
Pai
n/D
isco
mfo
rtS
oci
alw
ell-
bei
ng*
–
Em
oti
onal
wel
l-bei
ng
Anxie
ty/D
epre
ssio
n
Funct
ional
wel
l-bei
ng
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
Lam
ers
etal
.[1
8]
VA
SP
hysi
cal
wel
l-bei
ng,
Soci
alw
ell-
bei
ng,
Em
oti
onal
wel
l-bei
ng,
Funct
ional
wel
l-bei
ng,
Gen
eral
sym
pto
m,
Condit
ion-s
pec
ific
sym
pto
m
Physi
cal
wel
l-bei
ng,
Sym
pto
ms
Pai
n/D
isco
mfo
rtS
oci
alw
ell-
bei
ng*
–
Em
oti
onal
wel
l-bei
ng
Anxie
ty/D
epre
ssio
n
Funct
ional
wel
l-bei
ng
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
Can
cer-
pro
stat
eF
AC
T-P
rost
ate
(FA
CT
-
P)/
EO
RT
CQ
LQ
-C30
Wu
etal
.[2
6]
EQ
-5D
All
FA
CT
-Pco
mponen
tsan
dal
l
EO
RT
CQ
LQ
-C30
com
ponen
ts
Physi
cal,
Role
,S
oci
al
funct
ionin
g
Em
oti
onal
funct
ionin
g
Sym
pto
ms
Over
all
hea
lth
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
Anxie
ty/D
epre
ssio
n
Pai
n/D
isco
mfo
rt
Sat
isfa
ctio
nw
ith
the
doct
or–
pat
ient
rela
tionsh
ip,
Cognit
ive
funct
ionin
g
–
Chro
nic
obst
ruct
ive
pulm
onar
y
dis
ease
(CO
PD
)
exac
erbat
ion
Exac
erbat
ions
of
Chro
nic
Pulm
onar
yD
isea
se
Tool
(EX
AC
T)
Pet
rill
oet
al.
[14]
TT
OC
hes
tdis
com
fort
,C
ough,
Short
nes
s
of
bre
ath
wit
hac
tivit
y,
Psy
cholo
gic
alst
ate,
Wea
k/t
ired
Psy
cholo
gic
alst
ate
Ches
tdis
com
fort
,C
ough,
Short
nes
sof
bre
ath
wit
h
acti
vit
y,
Wea
k/t
ired
Anxie
ty/D
epre
ssio
n
Usu
alac
tivit
ies,
Pai
n/
Dis
com
fort
–M
obil
ity,
Sel
f-ca
re
Qual Life Res (2013) 22:853–874 867
123
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Ta
ble
3co
nti
nu
ed
Dis
ease
/
condit
ion
Par
ent
mea
sure
(DS
M)
Publi
cati
on
refe
rence
Val
uat
ion
tech
niq
ue
Dim
ensi
ons
of
DS
Min
volv
edin
final
(or
most
reco
mm
ended
)
DS
PM
Conte
nt
val
idit
yev
aluat
ion
wit
hD
SP
Man
dE
Q-5
D
Over
lappin
gof
DS
PM
and
EQ
-5D
Dim
ensi
ons
on
DS
PM
mis
sing
from
EQ
-5D
Dim
ensi
ons
on
EQ
-5D
mis
sing
from
DS
PM
Dim
ensi
ons
on
DS
PM
cover
edby
EQ
-5D
Dim
ensi
onal
equiv
alen
tin
EQ
-5D
Coro
nar
yar
tery
dis
ease
Duke
Act
ivit
yS
tatu
s
Index
(DA
SI)
/RA
ND
Men
tal
Hea
lth
Inven
tory
(MH
I-5)/
Can
adia
n
Car
dio
vas
cula
rS
oci
ety
(CC
S)
Angin
a
Cla
ssifi
cati
on/O
ver
all
hea
lth
rati
ng/H
ealt
h
stat
us
Mel
sop
etal
.[2
8]
TT
OA
llco
mponen
ts(D
AS
Ian
dM
HI-
5
asin
dex
score
s)
Per
sonal
care
Sel
f-ca
reS
exual
funct
ion
–
Am
bula
tion
Mobil
ity
House
hold
task
s,R
ecre
atio
nal
acti
vit
ies
Usu
alac
tivit
ies
Anxie
ty,
Dep
ress
ion,
Beh
avio
ral
contr
ol,
Posi
tive
affe
ct
Anxie
ty/D
epre
ssio
n
Sev
erit
yof
angin
aP
ain/D
isco
mfo
rt
Can
adia
nC
ardio
vas
cula
r
Soci
ety
(CC
S)
Angin
a
Cla
ssifi
cati
on/
Bre
athle
ssnes
sG
rade
(BG
)
Longw
ort
het
al.
[40]
EQ
-5D
All
com
ponen
ts(a
ssi
ngle
item
score
)
Sin
gle
item
des
crib
ing
sever
ity
of
angin
a(a
ngin
a
pai
n)/
Sin
gle
item
des
crib
ing
sever
ity
of
angin
a
(bre
athle
ssnes
s)
Pai
n/D
isco
mfo
rt,
Usu
al
acti
vit
ies,
Mobil
ity
–S
elf-
care
,A
nxie
ty/
Dep
ress
ion
Sea
ttle
Angin
a
Ques
tionnai
re(S
AQ
)
Gold
smit
het
al.
[33]
EQ
-5D
Physi
cal
lim
itat
ion,
angin
al
freq
uen
cy,
dis
ease
per
cepti
on
Physi
cal
lim
itat
ion
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
––
Angin
alfr
equen
cyP
ain/D
isco
mfo
rt
Dis
ease
per
cepti
on
Anxie
ty/D
epre
ssio
n
Wij
eysu
nder
a
etal
.[4
1]
EQ
-5D
All
com
ponen
tsP
hysi
cal
lim
itat
ion
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
Tre
atm
ent
sati
sfac
tion
–
Angin
alst
abil
ity,
Angin
al
freq
uen
cy
Pai
n/D
isco
mfo
rt
Dis
ease
per
cepti
on
Anxie
ty/D
epre
ssio
n
Chro
nic
liver
dis
ease
Liv
erD
isea
seS
ym
pto
m
Index
(LD
SI)
2.0
wit
h
6it
emex
tensi
on
Gutt
elin
get
al.
[42]
SF
-6D
[In
all
CL
Dpat
ients
exce
pt
for
HC
V]:
All
com
ponen
ts
[In
pat
ients
wit
hH
CV
]:A
ll
com
ponen
ts
Itch
,jo
int
pai
n,
pai
nin
right
upper
abdom
en,
fati
gue,
dec
reas
edap
pet
ite,
jaundic
e
Pai
n/D
isco
mfo
rtC
han
ge
of
per
sonal
ity,
hin
dra
nce
in
finan
cial
affa
irs,
mem
ory
pro
ble
ms
Mobil
ity,
Sel
f-ca
re
Worr
yab
out
fam
ily
situ
atio
n,
dep
ress
ion,
fear
of
com
pli
cati
ons
Anxie
ty/D
epre
ssio
n
Dai
lyti
me
man
agem
ent,
dec
reas
edse
xual
inte
rest
,
dec
reas
edse
xual
acti
vit
y
Usu
alac
tivit
ies
Deg
ener
ativ
e
dis
kdis
ease
(cer
vic
al
spin
e)
Cer
vic
alS
pin
eO
utc
om
es
Ques
tionnai
re(C
SO
Q)
Skola
sky
etal
.
[43]
SF
-6D
Arm
/should
erpai
n,
Funct
ional
dis
abil
ity,
Psy
cholo
gic
dis
tres
s,
Physi
cal
sym
pto
ms
Funct
ional
dis
abil
ity
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
––
Psy
cholo
gic
dis
tres
sA
nxie
ty/D
epre
ssio
n
Arm
/should
erpai
n,
Physi
cal
sym
pto
ms
Pai
n/D
isco
mfo
rt
Den
tal/
Ora
l
hea
lth
Ora
lH
ealt
hIm
pac
t
Pro
file
(OH
IP-1
4)
Bre
nnan
etal
.[4
4]
EQ
-5D
All
com
ponen
ts(a
ll14
item
s)F
unct
ional
lim
itat
ion,
Physi
cal
dis
abil
ity,
Han
dic
ap
Usu
alac
tivit
ies
–M
obil
ity,
Sel
f-ca
re
Physi
cal
pai
nP
ain/D
isco
mfo
rt
Psy
cholo
gic
aldis
com
fort
,
Psy
cholo
gic
aldis
abil
ity,
Soci
aldis
abil
ity
Anxie
ty/D
epre
ssio
n
868 Qual Life Res (2013) 22:853–874
123
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Ta
ble
3co
nti
nu
ed
Dis
ease
/
condit
ion
Par
ent
mea
sure
(DS
M)
Publi
cati
on
refe
rence
Val
uat
ion
tech
niq
ue
Dim
ensi
ons
of
DS
Min
volv
edin
final
(or
most
reco
mm
ended
)
DS
PM
Conte
nt
val
idit
yev
aluat
ion
wit
hD
SP
Man
dE
Q-5
D
Over
lappin
gof
DS
PM
and
EQ
-5D
Dim
ensi
ons
on
DS
PM
mis
sing
from
EQ
-5D
Dim
ensi
ons
on
EQ
-5D
mis
sing
from
DS
PM
Dim
ensi
ons
on
DS
PM
cover
edby
EQ
-5D
Dim
ensi
onal
equiv
alen
tin
EQ
-5D
Ere
ctil
e
dysf
unct
ion
Inte
rnat
ional
Index
of
Ere
ctil
eD
ysf
unct
ion
(IIE
F)
Sto
lket
al.
[12]
TT
OA
bil
ity
toat
tain
and
mai
nta
inan
erec
tion
suffi
cien
tfo
rsa
tisf
acto
ry
sexual
per
form
ance
(Ques
tion
3
and
4in
IIE
F)
––
Abil
ity
toat
tain
and
mai
nta
inan
erec
tion
suffi
cien
tfo
r
sati
sfac
tory
sexual
per
form
ance
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-
care
,P
ain/
Dis
com
fort
,
Anxie
ty/
Dep
ress
ion
Flu
shin
gF
lush
ing
Sym
pto
ms
Ques
tionnai
re(F
SQ
)
Young
etal
.[1
6]
TT
OR
ednes
sof
skin
,W
arm
th,
Tin
gli
ng,
Itch
ing,
Sle
epdif
ficu
lty
Sle
epdif
ficu
lty
Red
nes
sof
skin
,W
arm
th,
Tin
gli
ng,
Itch
ing
Usu
alac
tivit
ies
Pai
n/D
isco
mfo
rt
–M
obil
ity,
Sel
f-
care
,A
nxie
ty/
Dep
ress
ion
Gro
wth
horm
one
defi
cien
cy
(GH
D)
QoL
Ass
essm
ent
of
Gro
wth
Horm
one
Defi
cien
cyin
Adult
s
ques
tionnai
re(Q
oL
-
AG
HD
A)
Kolt
ow
ska-
Hag
gst
rom
etal
.
[45]
EQ
-5D
All
com
ponen
ts(Q
oL
-AG
HD
Aas
a
single
score
)
Pro
ble
ms
wit
hm
emory
and
conce
ntr
atio
n,
tire
dnes
s
Ten
senes
s
Usu
alac
tivit
ies
Anxie
ty/D
epre
ssio
n
Soci
alis
ola
tion,
Sel
f-
confi
den
ce
Mobil
ity,
Sel
f-ca
re
Hydro
cephal
us
Hydro
cephal
us
Outc
om
e
Ques
tionnai
re(H
OQ
)
Kulk
arni
[10]
HU
I2A
llco
mponen
tsP
hysi
cal
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re,
Pai
n/D
isco
mfo
rt
Cognit
ive
–
Soci
al–em
oti
onal
Anxie
ty/D
epre
ssio
n
Infl
amm
atory
bow
eldis
ease
(i.e
.,C
rohn’s
dis
ease
)
Infl
amm
atory
Bow
el
Dis
ease
Ques
tionnai
re
(IB
DQ
)
Buxto
net
al.
[46]
EQ
-5D
,
SF
-6D
All
com
ponen
ts(I
BD
Qas
anin
dex
score
)
Bow
elsy
mpto
ms,
Syst
emic
sym
pto
ms
Pai
n/D
isco
mfo
rt–
Mobil
ity,
Sel
f-ca
re
Em
oti
onal
funct
ion
Anxie
ty/D
epre
ssio
n
Soci
alfu
nct
ion
Usu
alac
tivit
ies
Cro
hn’s
Dis
ease
Act
ivit
y
Index
(CD
AI)
All
com
ponen
ts(C
DA
Ias
anin
dex
score
)
Item
sdes
crib
ing
sym
pto
ms
in
Cro
hn’s
dis
ease
Pai
n/D
isco
mfo
rt–
Mobil
ity,
Sel
f-
care
,U
sual
acti
vit
ies,
Anxie
ty/
Dep
ress
ion
Men
opau
seQ
ual
iPau
seIn
ven
tory
(QP
I)
Bra
zier
etal
.[1
3]
TT
OA
llco
mponen
tsP
sych
olo
gic
alA
nxie
ty/D
epre
ssio
nS
exual
,M
enst
rual
,
Andro
gen
ic
com
pla
ints
Mobil
ity,
Sel
f-ca
re
Usu
alac
tivit
ies
Physi
cal,
Vas
om
oto
rP
ain/D
isco
mfo
rt
Men
tal
hea
lth
Gen
eral
Hea
lth
Ques
tionnai
re(G
HQ
-
12)
Ser
rano-A
guil
ar
etal
.[4
7]
EQ
-5D
All
com
ponen
tsR
ecen
tsy
mpto
ms,
Fee
ling,
Beh
avio
r
Usu
alac
tivit
ies,
Anxie
ty/
Dep
ress
ion
–P
ain/D
isco
mfo
rt,
Mobil
ity,
Sel
f-
care
Obes
ity
Impac
tof
Wei
ght
on
Qual
ity
of
Lif
e-L
ite
(IW
QO
L-l
ite)
Bra
zier
etal
.[2
7]
SF
-6D
All
com
ponen
tsP
hysi
cal
funct
ion,
Work
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
Sel
f-es
teem
,S
exual
life
Pai
n/D
isco
mfo
rt
Publi
cdis
tres
sA
nxie
ty/D
epre
ssio
n
Moore
hea
d-A
rdel
tII
ques
tionnai
re(M
A-I
I)
Sau
erla
nd
etal
.
[29]
EQ
-5D
,
SF
-6D
Mood,
Physi
cal
funct
ion,
Soci
al
rela
tionsh
ips,
Abil
ity
tow
ork
,
Sex
ual
ity
(sam
efo
rm
appin
gw
ith
EQ
-5D
and
map
pin
gw
ith
SF
-6D
)
Physi
cal
funct
ion,
Abil
ity
to
work
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
Soci
alre
lati
onsh
ips,
Sex
ual
ity
Pai
n/D
isco
mfo
rt
Mood
Anxie
ty/D
epre
ssio
n
Ocu
lar
dis
ease
Vis
ual
acuit
y(m
easu
red
usi
ng
the
Snel
len
eye
char
t)
Shar
ma
etal
.[4
8]
TT
OV
isual
acuit
y(s
ingle
item
)–
–V
isual
acuit
yU
sual
acti
vit
ies,
Mobil
ity,
Sel
f-
care
,A
nxie
ty/
Dep
ress
ion,
Pai
n/D
isco
mfo
rt
Qual Life Res (2013) 22:853–874 869
123
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Ta
ble
3co
nti
nu
ed
Dis
ease
/
condit
ion
Par
ent
mea
sure
(DS
M)
Publi
cati
on
refe
rence
Val
uat
ion
tech
niq
ue
Dim
ensi
ons
of
DS
Min
volv
edin
final
(or
most
reco
mm
ended
)
DS
PM
Conte
nt
val
idit
yev
aluat
ion
wit
hD
SP
Man
dE
Q-5
D
Over
lappin
gof
DS
PM
and
EQ
-5D
Dim
ensi
ons
on
DS
PM
mis
sing
from
EQ
-5D
Dim
ensi
ons
on
EQ
-5D
mis
sing
from
DS
PM
Dim
ensi
ons
on
DS
PM
cover
edby
EQ
-5D
Dim
ensi
onal
equiv
alen
tin
EQ
-5D
Ost
eoar
thri
tis
Wes
tern
Onta
rio
and
McM
aste
rU
niv
ersi
ty
Ost
eoar
thri
tis
Index
(WO
MA
C)
Gro
ote
ndors
tet
al.
[49]
HU
I3A
llco
mponen
tsP
ain,
Sti
ffnes
s
Physi
cal
funct
ion
Pai
n/D
isco
mfo
rt
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
–A
nxie
ty/
Dep
ress
ion
Bar
ton
etal
.[5
0]
EQ
-5D
All
com
ponen
ts(W
OM
AC
asan
index
score
)
Xie
etal
.[5
1]
EQ
-5D
All
com
ponen
ts
Oti
tis
med
ia
wit
hef
fusi
on
(OM
E)
OM
E-s
pec
ific
Oti
tis
Med
iaQ
ues
tionnai
re
(OM
8-3
0)
Dak
inet
al.
[52
]H
UI3
All
com
ponen
tsR
espir
atory
sym
pto
ms,
Ear
pro
ble
ms
Pai
n/D
isco
mfo
rtP
aren
tqual
ity
of
life
Mobil
ity,
Sel
f-ca
re
Rep
ort
edhea
ring
dif
ficu
ltie
s,
Beh
avio
r,S
leep
,S
chool
pro
spec
ts,
Spee
chan
d
languag
e
Usu
alac
tivit
ies,
Anxie
ty/
Dep
ress
ion
Glo
bal
hea
lth
Over
acti
ve
bla
dder
Over
acti
ve
Bla
dder
Ques
tionnai
re(O
AB
-
q)
Yan
get
al.
[9]
TT
OU
rge
touri
nat
e,U
rine
loss
,
Sle
epim
pac
t,C
opin
gst
rate
gy,
Conce
rnw
ith
OA
B
Sle
epim
pac
t
Conce
rnw
ith
OA
B
Urg
eto
uri
nat
e,U
rine
loss
Usu
alac
tivit
ies
Anxie
ty/D
epre
ssio
n
Pai
n/D
isco
mfo
rt
Copin
gst
rate
gy
Mobil
ity,
Sel
f-ca
re
Pai
n(b
ack
and
leg)
Osw
estr
yD
isab
ilit
y
Index
(OD
I)/B
ack
Pai
n
Num
eric
Rat
ing
Sca
le
(BP
NR
S)/
Leg
Pai
n
Num
eric
Rat
ing
Sca
le
(LP
NR
S)
Car
reon
etal
.[5
3]
SF
-6D
All
com
ponen
ts(O
DI
asan
index
score
)
Bac
k-s
pec
ific
funct
ions,
Sin
gle
item
des
crib
ing
level
of
bac
k/l
egpai
n
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re,
Pai
n/D
isco
mfo
rt
–A
nxie
ty/
Dep
ress
ion
Par
kin
son’s
Dis
ease
(PD
)
Par
kin
son’s
Dis
ease
Ques
tionnai
re(P
DQ
-8)
Cheu
ng
etal
.[5
4]
EQ
-5D
Mobil
ity,
Act
ivit
ies
of
dai
lyli
vin
g,
Em
oti
onal
wel
l-bei
ng,
Cognit
ion,
Bodil
ydis
com
fort
Mobil
ity,
Act
ivit
ies
of
dai
ly
livin
g
Bodil
ydis
com
fort
Em
oti
onal
wel
l-bei
ng
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
Pai
n/D
isco
mfo
rt
Anxie
ty/D
epre
ssio
n
Cognit
ion
–
Pulm
onar
y
hyper
tensi
on
Cam
bri
dge
Pulm
onar
y
Hyper
tensi
on
Outc
om
e
Rev
iew
(CA
MP
HO
R)
QoL
scal
e
McK
enna
etal
.
[19]
TT
OA
llco
mponen
tsS
oci
alac
tivit
ies,
Com
munic
atio
ns
Usu
alac
tivit
ies
–P
ain/D
isco
mfo
rt,
Anxie
ty/
Dep
ress
ion
Tra
vel
ing
Mobil
ity
Dep
enden
ceS
elf-
care
Rheu
mat
oid
arth
riti
s
Hea
lth
Ass
essm
ent
Ques
tionnai
re
Dis
abil
ity
Index
(HA
Q-D
I)
Ban
sbac
ket
al.
[55]
EQ
-5D
,
SF
-6D
Dre
ssin
g,
Ari
sing,
Eat
ing,
Wal
kin
g,
Hygie
ne,
Rea
ch,
Gri
p,
Act
ivit
ies
Dre
ssin
g,
Ari
sing,
Eat
ing,
Wal
kin
g,
Hygie
ne,
Rea
ch,
Gri
p,
Act
ivit
ies
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
–P
ain/D
isco
mfo
rt,
Anxie
ty/
Dep
ress
ion
Hea
lth
Ass
essm
ent
Ques
tionnai
re(H
AQ
)
Wolf
eet
al.
[56]
US
EQ
-
5D
,U
K
EQ
-5D
,
SF
-6D
All
com
ponen
tsan
dV
AS
pai
n
score
(as
anad
dit
ional
var
iable
)
Dre
ssin
g,
Ari
sing,
Eat
ing,
Wal
kin
g,
Hygie
ne,
Rea
ch,
Gri
p,
Act
ivit
ies
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
–A
nxie
ty/
Dep
ress
ion
VA
Spai
nsc
ore
Pai
n/D
isco
mfo
rt
Hea
lth
Ass
essm
ent
Ques
tionnai
re
Dis
abil
ity
Index
(HA
Q-D
I)
Car
reno
etal
.[5
7]
HU
I3
EQ
-5D
All
com
ponen
ts(H
AQ
-DI
asan
index
score
)
Dre
ssin
g,
Ari
sing,
Eat
ing,
Wal
kin
g,
Hygie
ne,
Rea
ch,
Gri
p,
Act
ivit
ies
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
–P
ain/D
isco
mfo
rt,
Anxie
ty/
Dep
ress
ion
870 Qual Life Res (2013) 22:853–874
123
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Ta
ble
3co
nti
nu
ed
Dis
ease
/
condit
ion
Par
ent
mea
sure
(DS
M)
Publi
cati
on
refe
rence
Val
uat
ion
tech
niq
ue
Dim
ensi
ons
of
DS
Min
volv
edin
final
(or
most
reco
mm
ended
)
DS
PM
Conte
nt
val
idit
yev
aluat
ion
wit
hD
SP
Man
dE
Q-5
D
Over
lappin
gof
DS
PM
and
EQ
-5D
Dim
ensi
ons
on
DS
PM
mis
sing
from
EQ
-5D
Dim
ensi
ons
on
EQ
-5D
mis
sing
from
DS
PM
Dim
ensi
ons
on
DS
PM
cover
edby
EQ
-5D
Dim
ensi
onal
equiv
alen
tin
EQ
-5D
Sch
izophre
nia
Posi
tive
and
Neg
ativ
e
Sym
pto
mS
cale
(PA
NS
S)
Len
ert
etal
.[5
8]
SG
,V
AS
All
com
ponen
tsP
osi
tive
psy
chopat
holo
gy,
Neg
ativ
epsy
chopat
holo
gy,
Gen
eral
psy
chopat
holo
gy
Anxie
ty/D
epre
ssio
n,
Usu
al
acti
vit
ies,
Sel
f-ca
re,
Pai
n/
Dis
com
fort
–M
obil
ity
Sle
epdis
ord
ers
Sle
epP
roble
mIn
dex
-II
(SL
P9)
Yan
get
al.
[59]
SF
-6D
All
com
ponen
ts(S
LP
9as
anin
dex
score
)
Sle
epin
itia
tion
pro
ble
ms,
slee
pm
ainte
nan
ce
pro
ble
ms,
resp
irat
ory
pro
ble
ms
duri
ng
slee
p,
slee
p
adeq
uac
y,
som
nole
nce
Usu
alac
tivit
ies,
Pai
n/
Dis
com
fort
–M
obil
ity,
Sel
f-
care
,A
nxie
ty/
Dep
ress
ion
Str
oke
Bar
thel
Index
Mort
imer
etal
.
[60]
AQ
oL
[Index
-bas
edal
gori
thm
]:A
ll
com
ponen
ts(a
san
index
score
)
[Ite
m-b
ased
algori
thm
]:
Fee
din
g,
Dre
ssin
g,
Bat
hin
g,
Sta
irs,
Bla
dder
Fee
din
g,
dre
ssin
g,
gro
om
ing,
bat
hin
g,
toil
etuse
,tr
ansf
er,
stai
rs,
mobil
ity,
bla
dder
,
bow
els
Usu
alac
tivit
ies,
Mobil
ity,
Sel
f-ca
re
–P
ain/D
isco
mfo
rt,
Anxie
ty/
Dep
ress
ion
Modifi
edR
ankin
scal
e
(mR
S)
Riv
ero-A
rias
etal
.
[61]
EQ
-5D
Lev
elof
han
dic
ap(s
ingle
item
)L
evel
of
han
dic
ap(a
ctiv
ity
lim
itat
ions
and
life
style
chan
ges
)
Usu
alac
tivit
ies,
Mobil
ity
–P
ain/D
isco
mfo
rt,
Anxie
ty/
Dep
ress
ion
Ulc
erat
ive
coli
tis
(UC
)
Ulc
erat
ive
Coli
tis
Dis
ease
Act
ivit
yIn
dex
(UC
DA
I)
Poole
etal
.[2
1]
EQ
-5D
Sto
ol
freq
uen
cy,
Rec
tal
ble
edin
g,
Physi
cian
glo
bal
asse
ssm
ent
Sto
ol
freq
uen
cy,
rect
al
ble
edin
g,
physi
cian
glo
bal
asse
ssm
ent
Usu
alac
tivit
ies,
Pai
n/
Dis
com
fort
–M
obil
ity,
Sel
f-
care
,A
nxie
ty/
Dep
ress
ion
Uri
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Qual Life Res (2013) 22:853–874 871
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measurement. For example, the EQ-5D dimension of pain/
discomfort may broadly capture discomfort as it relates to
many conditions, but it fails to encapsulate the nature of the
symptoms or the extent of discomfort or pain, either
descriptively or in terms of magnitude of disutility which
also may be related to the number of levels per dimension.
Likewise, although the EQ-5D anxiety/depression dimen-
sion covers content related to aspects of mental health, it is
unclear if it adequately captures mental health issues
related to stigma, lack of motivation, inability to cope, and
lack of self-confidence or self-esteem. Moreover, family or
leisure activities are illustrated as usual activities on the
EQ-5D questionnaire, which demonstrates that EQ-5D
could generally incorporate the assessment of social func-
tioning (or even sexual function) into the domain of usual
activities. Finally, cognitive functioning can be another
example where symptoms of cognitive impairment (e.g.,
attention and remembering difficulties) might be taken into
account when patients evaluate their status of performing
usual activities. The last two examples indicate that EQ-5D
has potential to lose sensitivity in identifying problems
related to social activities or cognitive functioning.
There has already been some investigation on the addition
of dimensions of social activities and cognitive functioning
to the EQ-5D. The EQ-5D originally had six dimensions
(EQ-6D) and included a specific dimension of ’’Social
relationships.’’ However, after investigation, it was found to
contribute little to the valuation of the health states and so
was combined with a dimension of ‘‘main activities’’ to form
the ‘‘Usual activities’’ in the EQ-5D [30]. In addition, the
impact of adding a cognition dimension to the EQ-5D has
had mixed results between studies [31, 32]. However, these
previous findings are not conclusive and further investiga-
tion of these dimensions as bolt-ons could be useful.
The extent to which these dimensions may or may not
be covered by the EQ-5D can be examined to some extent
by using existing data sets in which both the EQ-5D and
the disease-specific measures have been administered.
Psychometric analysis such as factor analysis and item
response theory-based models can be employed to under-
stand the extent to which items overlap and are related to
the same construct/dimension. If the ultimate goal is to
identify bolt-on content that is a significant predictor of
overall utility for health, then subsequent studies that col-
lect and model utilities are needed that may or may not
substantiate it. While numerous studies of DSPMs have
been published in recent years, their proliferation may be
attributed both to the goal of improving upon the properties
of generic utility measures as well as for other purposes,
such as developer desire to make a disease-specific mea-
sure simply to appear more attractive for use to industry or
motivated by the need to generate utility scores when a
utility measure is omitted from a trial.
The study is limited to DSPMs that were already
developed. The study is also limited by addressing face
validity qualitatively; other psychometric properties like
construct validity and responsiveness should be considered
as well when assessing measures of health. Our ability to
identify candidate conditions and dimensions external to
the core EQ-5D was limited by the choice of disease-spe-
cific measures and the methodological approaches used to
select items from the parent measures. Without gold stan-
dard measures available, it is difficult to establish situations
when EQ-5D does or does not capture the important
aspects of disease. If a relationship between the DSM and
generic utility cannot be adequately established, it does not
necessarily mean the utility measure is flawed. Instead, it
could be that the DSM itself is not sufficient or some
aspects of health are not valued to the extent that they
uniquely and meaningfully contribute to an overall utility
score. We focused on the content of the DSPM as it related
the EQ-5D and to a much lesser extent on the performance
of mapping functions. Poor prediction of mapping func-
tions can arise from a variety of contexts; for example,
limited health states described by EQ-5D’s 5-question,
3-level format can possibly lead to inaccurate discrimina-
tion of health status [33]. For a methodological appraisal of
this literature that emphasizes the performance of mapping
functions, see Brazier et al. [6].
In summary, this review was intended to help to identify
dimensions that could potentially be added to the EQ-5D
core for the purpose of developing disease-specific ‘‘bolt-
ons’’ or extension of the descriptive system in the future.
Based on the literature at present, the exploration of bolt-
ons is still a rich area for exploration. The pursuit of such
bolt-ons, which is of strategic and scientific interest to
many stakeholders in health care, is an opportunity and a
challenge for researchers with interest in utility measure-
ment. The development of a DSPM can be as time- and
resource consuming as the development of a new generic
measure such as the EQ-5D-5L, as labeling, content, and
utility algorithms need to be addressed. For these reasons,
the bolt-on agenda can be viewed as a long-term initiative
that requires extensive resources and deliberation.
Acknowledgments Simon Pickard and Louise Longworth are
members of the EuroQol Group. An earlier draft of this manuscript
was presented as a discussion paper at the 27th EuroQol Plenary
Meeting in Athens, Greece, in September, 2010.
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