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

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The rapid expansion of efforts to assess<br />

outcomes of health care from the patient’s<br />

perspective has resulted in hundreds of instruments<br />

that have in common that they purport<br />

to provide standardised assessments of matters<br />

of importance to patients such as functional<br />

status, subjective health and broader aspects of<br />

health-related QoL. Seven major types of instrument<br />

can be distinguished: disease-specific, site<br />

or region-specific, dimension-specific, generic,<br />

global or summary, individualised, and utility.<br />

These distinctions between types should not<br />

be viewed as rigid since instruments can have<br />

properties associated with more than one kind.<br />

Given that the vast majority of such instruments<br />

are candidates for inclusion in trials, investigators<br />

facing the need to select an instrument or<br />

instruments to include for any specific trial<br />

have quite a daunting decision.<br />

There are substantial areas of uncertainty and<br />

dispute regarding outcome measurement. Over a<br />

number of issues, gaps and limitations of concepts<br />

and measurement have been acknowledged in the<br />

literature. This review has built on and attempted<br />

to integrate previous efforts to identify desirable<br />

properties of patient-based outcome measures.<br />

Chapter 4<br />

Conclusions<br />

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

It is very encouraging that authors from three<br />

disciplines of social science, economics and<br />

statistics can agree to this document; this is itself<br />

an important step in progress to define the field.<br />

Broad assent to the principles of the review was<br />

also obtained from a wide range of disciplines and<br />

expertise relevant to health technology assessment<br />

and health services research: comments on a draft<br />

were sought from those with expertise in clinical<br />

medicine and clinical trials, health economics,<br />

health service research, psychology, sociology,<br />

statistics. Every effort was made to respond to<br />

and integrate expert advisors’ suggestions. We<br />

feel that the resulting document presents views<br />

based on substantial consensus about issues.<br />

Despite clear limitations in the evidence available<br />

to date, it is possible to conclude that there are<br />

eight criteria that can provide an explicit framework<br />

for decisions about selection of patient-based<br />

outcome measures in trials. In determining how<br />

best to assess outcomes from the patient’s perspective<br />

in the context of a clinical trial, investigators<br />

need to consider candidate patient-based outcome<br />

measures in terms of appropriateness, reliability,<br />

validity, responsiveness, precision, interpretability,<br />

acceptability and feasibility.<br />

45

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