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Evaluating Patient-Based Outcome Measures - NIHR Health ...

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instrument was first developed (Hunt, 1998).<br />

In this sense even the most thorough observation<br />

of translation procedures cannot alone establish<br />

the validity of an instrument in a new culture.<br />

An unusual solution that attempts to overcome<br />

the cultural specificity of questionnaires is the<br />

WHOQOL Group’s (1998) development of the<br />

World <strong>Health</strong> Organization Quality of Life Assessment<br />

(WHOQOL). Instead of the usual practice<br />

in which a questionnaire is developed in one<br />

culture and then translated into the languages of<br />

other cultures, in this case concepts and questionnaire<br />

items were developed in 15 different field<br />

centres around the world, including developing<br />

as well as developed countries. Initial results have<br />

appeared regarding basic aspects of reliability<br />

and validity (WHOQOL, 1998). Further research<br />

will be required to examine the value of this<br />

100-item questionnaire.<br />

Summary<br />

Evidence is required that an instrument is acceptable<br />

to patients. The simplest and most direct form<br />

of such evidence is that it has consistently been<br />

associated with high response rates. Early on in the<br />

development of an instrument, this property may<br />

have been more directly tested by eliciting views<br />

of patients about the instrument.<br />

Feasibility<br />

Is the instrument easy to administer<br />

and process?<br />

In addition to patient burden and acceptability,<br />

it is important to evaluate the impact of different<br />

patient-based outcome measures upon staff and<br />

researchers in collecting and processing information<br />

(Aaronson, 1992; Lansky et al., 1992;<br />

Erickson et al., 1995). Data from patients for<br />

clinical trials are often gathered in the context of<br />

regular clinical patient care and excessive burden<br />

to staff may jeopardise trial conduct and disrupt<br />

clinical care. An obvious example is the additional<br />

staff effort and costs involved in personally administering<br />

questionnaires over postal delivery. To a lesser<br />

extent, the length and complexity of instrument<br />

are an additional component. Certainly it may<br />

require additional staff time to assist and explain<br />

how more complex questionnaires are to be filled<br />

out by patients. The simplest of instruments such<br />

as the nine-item COOP charts require a minimum<br />

<strong>Health</strong> Technology Assessment 1998; Vol. 2: No. 14<br />

of time and effort to process (Nelson et al., 1990).<br />

Their brevity (one item per domain) and pictorial<br />

representation mean that they require less staff<br />

supervision than most alternatives. A related<br />

component of feasibility is time required to<br />

train staff to use an instrument, with questionnaires<br />

designed for self completion imposing the least<br />

burden in this respect. Where instruments do<br />

require interviewer administration, training needs<br />

can vary according to the complexity of the tasks.<br />

Read and colleagues (1987) compared the training<br />

times required for three health status instruments<br />

and found that they varied from 1 to 2 hours for<br />

the easiest to 1 to 2 weeks for the most complex<br />

instrument. Utility measures which involve respondents<br />

making complex judgements under unusual<br />

experimental conditions almost invariably require<br />

highly trained staff (Feeny and Torrance, 1989).<br />

It is sometimes thought that more complex scoring<br />

systems reduce feasibility compared to simple<br />

scores. However, with computer programmes<br />

universally used to process such data, this element<br />

is unlikely to be a major component of burden to<br />

staff. Far more likely to require time to process are<br />

the measurement of physical marks put by patients<br />

onto visual analogue scales which have directly to<br />

be measured in terms of distance from origin.<br />

Above all, with both acceptability and feasibility,<br />

as with other dimensions we have examined, these<br />

should not be considered entirely fixed properties<br />

of instruments. To some extent, both the content<br />

and appearance of instruments can be improved<br />

to enhance response rates. Probably more importantly,<br />

as Bernard and colleagues (1995) argued in<br />

their qualitative study of the use of health status<br />

measures, staff attitudes and acceptance of the<br />

value of patient-based outcome measures can<br />

make a substantial difference to ultimate<br />

acceptability by patients.<br />

Summary<br />

The time and resources required to collect, process<br />

and analyse a patient-based outcome measure are<br />

not often independently reported so that evidence<br />

may not be readily available. A judgement of this<br />

aspect of an instrument has to be made in the<br />

context of clinical trials given that this will be but<br />

one component of burden on participants that<br />

will determine the overall viability of a trial and<br />

therefore the quality of its final results.<br />

43

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