Self-monitoring of type 2 diabetes reduces follow-up costs by more than half

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


Self-monitoring conveys extensive savings on the general expenses of sort 2 diabetes mind, and also on patients’ travel costs. Glycated hemoglobin testing is an essential piece of overseeing diabetes, and furthermore an extensive cost thing.

By supplanting half of the required follow-up visits with self-estimations and electronic criticism, the yearly aggregate expenses of glycated hemoglobin monitoring were decreased by about 60 %, bringing the per-quiet cost down from 280 EUR (300 USD) to 120 EUR (130 USD).

With fewer follow-up visits required, the normal yearly travel expenses of patients were decreased by more than 60%, from 45 EUR (48 USD) to 17 EUR (18 USD) per persistent. The examination was distributed in the International Journal of Medical Informatics.

In a new study by the University of Eastern Finland, scientists showed that self-monitoring of type 2 diabetes used in combination with an electronic feedback system results in considerable savings on health care costs especially in sparsely populated areas.

The study applies geographic information systems (GIS) -based geospatial analysis combined with patient registers. This was the first time through the expenses of type 2 diabetes follow-up were efficiently figured over a human services area in Finland.

The examination dissected 9,070 patients diagnosed to have type 2 diabetes. Consolidated travel and time costs add up to 21% of the aggregate expenses of glycated hemoglobin observing for patients with type 2 diabetes.

Researcher Aapeli Leminen from the University of Eastern Finland said, “The societal cost-efficiency of type 2 diabetes care could be improved in by taking into consideration not only the direct costs of glycated hemoglobin monitoring but also the indirect costs, such as patients’ travel costs.”

The examination utilized a georeferenced cost model to examine medicinal services openness and distinctive expenses related to the follow-up of type 2 diabetes. Patients’ travel and time costs were analyzed by taking a gander at how well health care services administrations could be come to by walking or by bicycle, or by utilizing a private car, a bus, or a taxi.

According to Leminen, “the combination of patient registers and GIS opens up new opportunities for research within the healthcare sector. This cost model we’ve now tested in the eastern part of Finland can easily be used in other places as well to calculate the costs of different diseases, such as cancer and cardiovascular diseases.”

The study is published in the International Journal of Medical informatics.

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