Self-monitoring induced savings on type 2 diabetes patients' travel and healthcare costs

International Journal of Medical Informatics
Aapeli LeminenTiina Laatikainen

Abstract

Type 2 diabetes (T2DM) is a major health concern in most regions. In addition to direct healthcare costs, diabetes causes many indirect costs that are often ignored in economic analyses. Patients' travel and time costs associated with the follow-up of T2DM patients have not been previously calculated systematically over an entire healthcare district. The aim of the study was to develop a georeferenced cost model that could be used to measure healthcare accessibility and patient travel and time costs in a sparsely populated healthcare district in Finland. Additionally, the model was used to test whether savings in the total costs of follow-up of T2DM patients are achieved by increasing self-monitoring and implementing electronic feedback practices between healthcare staff and patients. Patient data for this study was obtained from the regional electronic patient database Mediatri. A georeferenced cost model of linear equations was developed with ESRI ArcGIS 10.3 software and ModelBuilder tool. The Model utilizes OD Cost Matrix method of network analysis to calculate optimal routes for primary-care follow-up visits. In the study region of North Karelia, the average annual total costs of T2DM follow-up screening of HbA1c (9070 pat...Continue Reading

Citations

Sep 8, 2020·Journal of Korean Medical Science·Su Yeon JangIn Hwan Oh
Oct 7, 2019·International Journal of Medical Informatics·Neetu Singh, Upkar Varshney

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