Determining patient preferences for remote monitoring.

This paper presents the patient preferences for an application in remote health monitoring. The data was collected through a mobile service prototype. Analytical Hierarchy Process and Conjoint Analysis were used to extract the patient preferences. The study was limited to diabetes and obesity patients in Istanbul, Turkey. Results indicated that sending users' data automatically, availability of technical support, and price are key factors impacting patient's decisions. This implies that e-health service providers and designers should focus on the services that enable users to send measurement results automatically instead of manually.