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

Background 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 previousl...

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Published in:International Journal of Medical Informatics
Main Authors: Leminen, Aapeli, Tykkyläinen, Markku, Laatikainen, Tiina
Other Authors: Department of Geographical and Historical Studies, shared activities, Department of Geographical and Historical Studies / Geography,School of Medicine / Public Health
Format: Article in Journal/Newspaper
Language:unknown
Published: Elsevier BV 2018
Subjects:
Online Access:https://erepo.uef.fi/handle/123456789/6645
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spelling ftuniveasternfin:oai:erepo.uef.fi:123456789/6645 2023-05-15T17:00:25+02:00 Self-monitoring induced savings on type 2 diabetes patients' travel and healthcare costs Leminen, Aapeli Tykkyläinen, Markku Laatikainen, Tiina Department of Geographical and Historical Studies, shared activities Department of Geographical and Historical Studies / Geography,School of Medicine / Public Health 2018-05-23T06:15:16Z 120-127 https://erepo.uef.fi/handle/123456789/6645 englanti unknown Elsevier BV Irlanti International Journal of Medical Informatics http://dx.doi.org/10.1016/j.ijmedinf.2018.04.012 10.1016/j.ijmedinf.2018.04.012 1386-5056 115 https://erepo.uef.fi/handle/123456789/6645 CC BY-NC-ND 4.0 openAccess © Authors https://creativecommons.org/licenses/by-nc-nd/4.0/ CC-BY-NC-ND HbA1c screening self-monitoring electronic patient database georeferenced cost model network analysis healthcare accessibility Tieteelliset aikakauslehtiartikkelit A1 article artikkeli 2018 ftuniveasternfin https://doi.org/10.1016/j.ijmedinf.2018.04.012 2023-01-25T23:58:24Z Background 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. Methods 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. Results In the study region of North Karelia, the average annual total costs of T2DM follow-up screening of HbA1c (9070 patients) conforming to the national clinical guidelines are 280 EUR/297 USD per patient. Combined travel and time costs are 21 percent of the total costs. Implementing self-monitoring for a half of the follow-up still within the guidelines, the average annual total costs of HbA1c screening could be reduced by 57 percent from 280 EUR/297 USD to 121 EUR/129 USD per patient. Conclusions Travel costs related to HbA1c screening of T2DM patients constitute a substantial cost item, the consideration of which in healthcare planning would enable the societal cost-efficiency of T2DM care to be improved. Even more savings in both travel costs and healthcare costs of T2DM can be achieved by utilizing more self-monitoring and electronic feedback practices. Additionally, the ... Article in Journal/Newspaper karelia* UEF eRepository (University of Eastern Finland) International Journal of Medical Informatics 115 120 127
institution Open Polar
collection UEF eRepository (University of Eastern Finland)
op_collection_id ftuniveasternfin
language unknown
topic HbA1c screening
self-monitoring
electronic patient database
georeferenced cost model
network analysis
healthcare accessibility
spellingShingle HbA1c screening
self-monitoring
electronic patient database
georeferenced cost model
network analysis
healthcare accessibility
Leminen, Aapeli
Tykkyläinen, Markku
Laatikainen, Tiina
Self-monitoring induced savings on type 2 diabetes patients' travel and healthcare costs
topic_facet HbA1c screening
self-monitoring
electronic patient database
georeferenced cost model
network analysis
healthcare accessibility
description Background 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. Methods 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. Results In the study region of North Karelia, the average annual total costs of T2DM follow-up screening of HbA1c (9070 patients) conforming to the national clinical guidelines are 280 EUR/297 USD per patient. Combined travel and time costs are 21 percent of the total costs. Implementing self-monitoring for a half of the follow-up still within the guidelines, the average annual total costs of HbA1c screening could be reduced by 57 percent from 280 EUR/297 USD to 121 EUR/129 USD per patient. Conclusions Travel costs related to HbA1c screening of T2DM patients constitute a substantial cost item, the consideration of which in healthcare planning would enable the societal cost-efficiency of T2DM care to be improved. Even more savings in both travel costs and healthcare costs of T2DM can be achieved by utilizing more self-monitoring and electronic feedback practices. Additionally, the ...
author2 Department of Geographical and Historical Studies, shared activities
Department of Geographical and Historical Studies / Geography,School of Medicine / Public Health
format Article in Journal/Newspaper
author Leminen, Aapeli
Tykkyläinen, Markku
Laatikainen, Tiina
author_facet Leminen, Aapeli
Tykkyläinen, Markku
Laatikainen, Tiina
author_sort Leminen, Aapeli
title Self-monitoring induced savings on type 2 diabetes patients' travel and healthcare costs
title_short Self-monitoring induced savings on type 2 diabetes patients' travel and healthcare costs
title_full Self-monitoring induced savings on type 2 diabetes patients' travel and healthcare costs
title_fullStr Self-monitoring induced savings on type 2 diabetes patients' travel and healthcare costs
title_full_unstemmed Self-monitoring induced savings on type 2 diabetes patients' travel and healthcare costs
title_sort self-monitoring induced savings on type 2 diabetes patients' travel and healthcare costs
publisher Elsevier BV
publishDate 2018
url https://erepo.uef.fi/handle/123456789/6645
genre karelia*
genre_facet karelia*
op_relation International Journal of Medical Informatics
http://dx.doi.org/10.1016/j.ijmedinf.2018.04.012
10.1016/j.ijmedinf.2018.04.012
1386-5056
115
https://erepo.uef.fi/handle/123456789/6645
op_rights CC BY-NC-ND 4.0
openAccess
© Authors
https://creativecommons.org/licenses/by-nc-nd/4.0/
op_rightsnorm CC-BY-NC-ND
op_doi https://doi.org/10.1016/j.ijmedinf.2018.04.012
container_title International Journal of Medical Informatics
container_volume 115
container_start_page 120
op_container_end_page 127
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