engleski

Using Stated Preference Methods to Inform Public Health Decision Making: Evidence from Croatia

Croatia has recognised the importance of prevention programmes in the field of public health, but their effectiveness is not satisfactory due to the low response from the population, which has a negative impact on the rationalisation of public spending. One of the possible solutions is to consider the stated preferences of the target population. Therefore, the main objective of this study is to evaluate the use of stated preference methods in improving public health prevention programmes. For the purpose of the study, a questionnaire was designed using three different methods - Discrete Choice Experiment (DCE), Contingent Rating method (CR) and Best- Worst Scaling method (BWS). This study shows that the attributes of the Croatian cervical cancer screening programme are significantly associated with the respondents' utility level, which in turn is related to the women's response. Since BWS, DCE, CR measure the same construct - utility - we can say that convergent validity partially confirmed the external validity of the methods. Author conclude that it is necessary to implement market principles, i.e. demand side analysis using stated preference methods, in the planning, implementation and re-evaluation of public health programmes.

public health care, choice based methods, prevention, decision making, Best-Worst Scaling

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