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While this approach is useful, it is a second best solution for studies that did not use a generic measure and the aim is to estimate generic preference scores.
We use a generic measure of health status with the medical outcomes study 36-item short-form health survey (SF36) [ 29].
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Elsewhere, using a generic measure of personal hygiene practices we have found a stronger association between disease worry and hygiene, suggesting a moderate effect of level of disease worry [57].
The current study only used a generic measure of HRQL (SF-36).
16 We used a generic measure because no disease specific measure was appropriate, in view of the wide range of problems experienced by patients in this trial.
Criterion validity was examined in terms of convergent validity using a generic measure and in terms of known groups validity using participants clinical data.
Prior to using a generic measure, however, it is important that the instrument is shown to be reliable and valid in the specific population under investigation [ 9].
It would have been possible to collect these data from patients with the relevant disease using a generic measure such as the EQ-5D.
Cost-utility analysis, a subset of cost-effectiveness analysis, uses a generic measure of benefit, the quality-adjusted life year (QALY), to measure the amount of health benefit associated with an intervention.
Secondly, using a generic measure to assess health-related quality of life among this population rather than using a disease-specific tool such as the Premenstrual Symptoms Impact Survey (PMSIS) makes the findings limited.
Where utility estimates relevant to the decision problem are not available directly from a clinical study or from the literature, it may be possible to use a mapping algorithm to translate scores recorded on a disease-specific instrument, such as Functional Assessment of Cancer Therapy (FACT), into a utility value using a generic measure, such as EQ-5D.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com