[19] There is increasing evidence to suggest that understanding a patient’s preferences, views and needs, and organising healthcare services to match these aspects together with clinical viewpoints, can lead to improved health and economic outcomes.[20] Previous studies have demonstrated STA-9090 cost that patient preferences for healthcare services and interventions can impact on their willingness to use services.[21] Thus, investigating the patient perspective can also provide

an insight into which health-service aspects are perceived to be of value to patients and can influence their decisions to use/uptake the services, which in turn may reflect on the sustainability and economic viability of these healthcare services. Measurement of patient satisfaction is one of the most commonly employed methods for eliciting the patients’ perspectives

for healthcare services as well as pharmacy-based services. However, this technique has several drawbacks including the lack of a consensus regarding a theoretical framework for patient satisfaction, the use of self-developed, non-validated ad-hoc instruments for measuring satisfaction, and issues PF-562271 cell line such as high baseline satisfaction that limit the ability to detect real differences in patients’ opinions.[22] Besides these methodological constraints, satisfaction surveys are unable to provide information about the potential value of future services, the aspects/attributes of these services that drive satisfaction levels and the relative importance attached to these aspects/attributes; i.e. information that can provide guidance on the optimal allocation of resources especially in a budget-constrained health system.[23] Further, satisfaction surveys cannot be used to inform economic evaluation and thus are limited in their ability to

bring the patients perspective into policy decision making.[24] Novel preference elicitation techniques such as ‘stated preference methods’, where individuals state what they would choose when offered a product or service, are becoming Masitinib (AB1010) increasingly popular in the health sector.[23, 25, 26] Stated preferences, unlike revealed preferences, get respondents to make choices based on hypothetical scenarios rather than observing them when making an actual or real-life choice.[23, 25, 26] The last decade has seen an increased use of these methods including conjoint analysis and discrete choice experiments (DCEs) to elicit preferences for healthcare products and services.[25, 27-30] These two methods have a common format in terms of the underlying attributes, use of experimental design methods for instrument design and utilisation of statistical models to determine the importance of each attribute to preferences, although they differ substantially with respect to their theoretical framework as well as preference elicitation.