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28<br />

Criteria for selecting a patient-based outcome measure<br />

wide-ranging purposes, they require more<br />

extensive validation.<br />

There are potentially three ways in which such<br />

measures need to be assessed for validity: as<br />

measures of (i) health status, (ii) of personal<br />

preferences and utilities, and (iii) of the social<br />

value. It is important to recognise that these are<br />

distinct constructs. Thus, Nord (1992) suggests that<br />

if measures are intended to provide assessments of<br />

the social value of interventions, as opposed to a<br />

measure of the individual utilities of patients, then<br />

one important component of validation would<br />

need to be reflective equilibrium whereby respondents<br />

are directly invited to consider and accept<br />

the implications in terms of resource allocation<br />

of judgements made about weightings. To the<br />

extent that public opinion accepted decisions<br />

about resource allocation of health services based<br />

on evidence of costs and benefits of treatments<br />

and where benefits are in part measured by<br />

utilities, according to Nord, this would be an<br />

indirect form of validation of utility measures<br />

used. An Australian study found very little public<br />

support for health policies that aimed to maximise<br />

health benefit without egalitarian considerations<br />

(Nord et al., 1995).<br />

Nord and colleagues has examined the validity<br />

of generic measures by more direct methods.<br />

In a series of surveys of Norwegian and Australian<br />

samples, Nord and colleagues (1993) examined<br />

respondents’ ratings of specific health states for an<br />

instrument in comparison with the same health<br />

states judged by ‘Person Trade Off’. The latter<br />

method involves respondents being asked to state<br />

what numbers of patients receiving one treatment<br />

are equivalent to a specific number receiving a<br />

second different treatment and is intended more<br />

directly to assess the social value of different<br />

health states. By comparing respondents’ ratings<br />

from the two methods, it emerged that the<br />

instrument weighted by conventional rating<br />

scales produced much lower values for health<br />

states than did the Person Trade Off method, so<br />

that it appeared to produce lower social value for<br />

interventions. As Nord and colleagues argue,<br />

measures need to be examined separately to<br />

assess their validity as measures of individuals’<br />

utilities and as measures of social value. The two<br />

are distinct constructs and a measure may be<br />

valid as a measure of one but not the other and<br />

this is an area of continued methodological<br />

debate as to the validity of instruments for these<br />

different purposes (Carr-Hill, 1992; The EuroQol<br />

Group, 1992; Gafni and Birch, 1993; Dolan and<br />

Kind, 1996).<br />

Summary<br />

The apparently simple question as to whether an<br />

instrument measures what it purports to measure<br />

has to be considered by means of a range of different<br />

kinds of evidence including how content was<br />

determined, inspection of the content, and of<br />

patterns of relationships to other variables. Because<br />

no single set of observations is likely to determine<br />

validity and different kinds of evidence are needed,<br />

judgement of this property of an instrument in<br />

relation to a specific trial is not straightforward.<br />

Responsiveness<br />

Does the instrument detect changes<br />

over time that matter to patients?<br />

For use in trials, it is essential that a health<br />

status questionnaire can detect important changes<br />

over time within individuals, that might reflect<br />

therapeutic effects (Kirshner and Guyatt, 1985;<br />

Kirshner, 1991). This section addresses sensitivity<br />

to change, or responsiveness. The latter term is<br />

preferable because sensitivity has a number of<br />

more general uses in epidemiology. As it is conceivable<br />

for an instrument to be both reliable<br />

and valid but not responsive, this dimension<br />

of a health status measure is increasingly essential<br />

to evaluate. Potential confusion is caused by the<br />

fact that in order to emphasise its importance,<br />

some authors treat it as an aspect of validity<br />

(Hays and Hadorn, 1992). Guyatt and colleagues<br />

(1989a) define responsiveness as the ability of<br />

an instrument to detect clinically important<br />

change. They provide illustrative evidence of<br />

the importance of this aspect of instruments with<br />

data from a controlled trial of chemotherapy for<br />

breast cancer. Four health status instruments<br />

considered to be validated were completed by<br />

women. However only one of the four instruments<br />

showed expected differences over time as well<br />

as providing valid evidence of women’s’ health<br />

status. Guyatt and colleagues (1987, 1992a,b)<br />

have emphasised an important distinction<br />

between discriminative instruments intended to<br />

be particularly valid in distinguishing between<br />

respondents at a point in time and evaluative<br />

instruments that need to be particularly sensitive<br />

to changes within individuals over time in the<br />

context of clinical trials. The question at the<br />

beginning of this section emphasises that<br />

patient-based outcome measures changes of<br />

importance to patients. Whilst responsiveness<br />

as such is not defined in terms of importance<br />

to patients, this would seem an important<br />

specification in relation to patient-based<br />

outcome measures.

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