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

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10<br />

What are patient-based outcome measures?<br />

considering either omit this dimension or include<br />

only superficial assessments.<br />

A potential problem is that assessments of psychological<br />

well-being in particular were often developed<br />

more to measure inter-patient differences for<br />

purposes of diagnosis or needs assessment than<br />

as outcome measures. Evidence for their appropriateness<br />

as an outcome measure requiring<br />

sensitivity to changes over time therefore needs to<br />

be examined carefully. Clearly in the context of a<br />

trial, obtaining a more detailed assessment of one<br />

dimension such as depression or pain must involve<br />

some reduction of depth on other dimensions if<br />

the overall burden of data collection on patients<br />

is not to be too great, so careful thought is<br />

required about the significance of the<br />

proposed specific dimension.<br />

Generic instruments<br />

Generic instruments are intended to capture a very<br />

broad range of aspects of health status and the consequences<br />

of illness and therefore to be relevant to<br />

a wide range of patient groups. The content of such<br />

questionnaires has been deliberately designed to be<br />

widely appropriate. They may provide assessments<br />

of the health status of samples of individuals not<br />

recruited because they have a specific disease, for<br />

example, from primary care or the community as a<br />

whole. One of the most widely used of such instruments<br />

is the SF-36 (Ware and Sherbourne, 1992).<br />

It is a 36-item questionnaire which measures health<br />

status in eight dimensions: physical functioning,<br />

role limitations due to physical problems, role<br />

limitations due to emotional problems, social<br />

functioning, mental health, energy/vitality, pain<br />

and general perceptions of health. An additional<br />

single item asks the respondent about health<br />

change over 1 year which is not scaled. Item<br />

responses are summed to give a score for each<br />

dimension. Evidence has also been presented that<br />

SF-36 can be used in several other forms. The items<br />

have been summed into two summary measures:<br />

the physical component summary and mental<br />

component summary (Ware et al., 1995). The<br />

SF-36 has also been further reduced into a<br />

12-item version (Ware et al., 1996b).<br />

A more lengthy generic instrument is the Functional<br />

Limitations Profile (FLP) which is the English<br />

version of Sickness Impact Profile (SIP) developed<br />

in the United States (Patrick and Peach, 1989). The<br />

FLP measures sickness related behavioural<br />

dysfunction by assessing individual perceptions of<br />

the effect of illness upon usual daily activities. It<br />

consists of 136 items grouped into 12 dimensions<br />

covering ambulation, bodycare and movement,<br />

mobility, household management, recreation and<br />

pastimes, social interaction, emotion, alertness, sleep<br />

and rest, eating, communication and work. Unlike<br />

the SF-36, the FLP uses weights expressing the<br />

severity of individual items that have been derived<br />

from prior research. The FLP has a summary score<br />

for physical and psychosocial dimensions and a total<br />

score can also be calculated.<br />

Advantages and disadvantages<br />

The main advantage of generic instruments is that<br />

they can in principle be used for a broad range of<br />

health problems. This means that they may be of<br />

use if no disease-specific instrument exists in a<br />

particular area (Visser et al., 1994), although this<br />

is increasingly unlikely to be the case. Because it<br />

can be widely used, it enables comparisons across<br />

treatments for groups of patients with different<br />

groups, to assess comparative effectiveness. Because<br />

of their broad range of content and more general<br />

applicability, such instruments have been used<br />

more frequently than disease-specific instruments<br />

to assess the health of non-hospital samples in the<br />

general population. This has led to the use of such<br />

data to generate ‘normative values’, that is scores in<br />

the well with which patients with health problems<br />

can be compared. Because generic instruments<br />

are intended to be broad in scope, they may have<br />

value in detecting unexpected positive or negative<br />

effects of an intervention, whereas disease-specific<br />

instruments focus on known and anticipated<br />

consequences (Cox et al., 1992; Fletcher et al.,<br />

1992). Another potential advantage is that by<br />

covering a wide range of dimensions in a relatively<br />

economic format, they reduce the patient burden<br />

entailed by using a number of questionnaires.<br />

A less tangible advantage to any individual user<br />

is that, if trials generally converged on the use<br />

of a small number of generic instruments, a more<br />

general body of experience and comparative<br />

evidence could emerge to enhance the value<br />

and interpretability of patient-based outcome<br />

measures (Hadorn et al., 1995; Ware, 1995).<br />

Against these postulated advantages have to be<br />

weighed some potential disadvantages. In particular,<br />

it may be argued that by including items across a<br />

broad range of aspects of health status, generic<br />

instruments must sacrifice some level of detail in<br />

terms of relevance to any one illness. The risk is<br />

therefore of some loss of relevance of questionnaire<br />

items when applied in any specific context. A particularly<br />

important potential consequence for clinical<br />

trials is that generic instruments would have fewer<br />

relevant items to the particular disease and intervention<br />

and therefore be less sensitive to changes<br />

that might occur as a result of an intervention.

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