Conjoint Analysis

A range of techniques that is used to reveal people's values of entities like health states or health services. Within this range are such methods as card sorts, choice modelling, discrete choice analysis, hierarchical choice, pairwise comparisons, stated preference analysis and trade-off matrices. A variety of hypothetical questions or vignettes is formulated, each varying in its mix of attributes (which have to be considered 'conjointly' by the subject) and subjects are asked to give discrete answer (yes/no or 'I prefer option A' and so on). Regression analysis is used to estimate the relative strength of preferences for attributes. In a study of fertility service quality, for example, the attributes to do with quality might include attitudes of staff to the patient (uncaring/unsympathetic; caring/sympathetic), continuity of contact with staff (see same staff; see many different staff), time on waiting list for first IVF attempts (1, 3, 6, 18, 36 months), cost to patient per attempt ($0, $750, $1500, $2500, $3000), chances of taking home a baby (5, 10, 15, 25, 35 per

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cent), follow-up support (yes; no). The resultant scores are usually treated as utilities. Willingness to pay estimates are also sometimes made. See also

Adaptive Conjoint Analysis, Quality-adjusted Life-year, Utility Measurement.

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Pregnancy Guide

Pregnancy Guide

A Beginner's Guide to Healthy Pregnancy. If you suspect, or know, that you are pregnant, we ho pe you have already visited your doctor. Presuming that you have confirmed your suspicions and that this is your first child, or that you wish to take better care of yourself d uring pregnancy than you did during your other pregnancies; you have come to the right place.

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