Using stated preference discrete choice modelling to inform health care decision-making: a pilot study of breast screening participation
This study was an important start to explore the feasibility of applying statedpreference discrete choice modelling (SPDCM) for use in developing breast screeningparticipation enhancement strategies. It needs to be followed by further research toestablish model validity and authoritative results. In the meantime a random effectsbinary probit choice model was estimated using a main effects with selected 2-wayinteraction design and a convenience sample of Australian breast cancer screeningparticipants. A response rate of 48% was obtained. Clear preferences for differentservice configurations were revealed and used to demonstrate how potentialstrategies to enhance future participation rates of women placed on routine recallcould be identified. As anticipated accuracy of screening was the most importantattribute of the service to influence the probability of uptake but others werescreening time, travel time, information about screening benefits and the desire forprivacy lending support to the view that benefit assessment goes beyond healthfactors. In summary, the SPDCM approach can be regarded as a judicious approachfor helping decision-makers improve screening participation.
Year of publication: |
2007
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Authors: | Shanahan Marian ; Gerard Karen ; Louviere Jordan |
Publisher: |
Routledge |
Saved in:
freely available
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