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Multimorbidity transitions and the associated healthcare cost among the Finnish adult population during a two-year follow-up

BACKGROUND: Ageing of the population increases the prevalence and coexistence of many chronic diseases; a condition called multimorbidity. In Finland, information on the significance of multimorbidity and its relation to the sustainability of healthcare is scarce. AIM: To assess the prevalence of mu...

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Autores principales: Wikström, Katja, Linna, Miika, Reissell, Eeva, Laatikainen, Tiina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498690/
https://www.ncbi.nlm.nih.gov/pubmed/37711666
http://dx.doi.org/10.1177/26335565231202325
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author Wikström, Katja
Linna, Miika
Reissell, Eeva
Laatikainen, Tiina
author_facet Wikström, Katja
Linna, Miika
Reissell, Eeva
Laatikainen, Tiina
author_sort Wikström, Katja
collection PubMed
description BACKGROUND: Ageing of the population increases the prevalence and coexistence of many chronic diseases; a condition called multimorbidity. In Finland, information on the significance of multimorbidity and its relation to the sustainability of healthcare is scarce. AIM: To assess the prevalence of multimorbidity, the transitions between patient groups with and without multiple diseases and the associated healthcare cost in Finland in 2017–2019. METHODS: A register-based cohort study covering all adults (n = 3,326,467) who used Finnish primary or specialised healthcare services in 2017. At baseline, patients were classified as ‘non-multimorbid’, ‘multimorbid’ or ‘multimorbid at risk’ based on the recordings of a diagnosis of interest. The costs were calculated using the care-related patient grouping and national standard rates. Transition plots were drawn to observe the transition of patients and costs between groups during the two-year follow-up. RESULTS: At baseline, 62% of patients were non-multimorbid, 23% multimorbid and 15% multimorbid at risk. In two years, the proportion of multimorbid patients increased, especially those at risk. Within the multimorbid at-risk group, total healthcare costs were greatest (€5,027 million), accounting for 62% of the total healthcare cost of the overall patient cohort in 2019. Musculoskeletal diseases, cardiometabolic diseases and tumours were the most common and expensive chronic diseases contributing to the onset of multimorbidity. CONCLUSION: Multimorbidity is causing a heavy burden on Finnish healthcare. The estimates of its effect on healthcare usage and costs should be used to guide healthcare planning.
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spelling pubmed-104986902023-09-14 Multimorbidity transitions and the associated healthcare cost among the Finnish adult population during a two-year follow-up Wikström, Katja Linna, Miika Reissell, Eeva Laatikainen, Tiina J Multimorb Comorb Original Article BACKGROUND: Ageing of the population increases the prevalence and coexistence of many chronic diseases; a condition called multimorbidity. In Finland, information on the significance of multimorbidity and its relation to the sustainability of healthcare is scarce. AIM: To assess the prevalence of multimorbidity, the transitions between patient groups with and without multiple diseases and the associated healthcare cost in Finland in 2017–2019. METHODS: A register-based cohort study covering all adults (n = 3,326,467) who used Finnish primary or specialised healthcare services in 2017. At baseline, patients were classified as ‘non-multimorbid’, ‘multimorbid’ or ‘multimorbid at risk’ based on the recordings of a diagnosis of interest. The costs were calculated using the care-related patient grouping and national standard rates. Transition plots were drawn to observe the transition of patients and costs between groups during the two-year follow-up. RESULTS: At baseline, 62% of patients were non-multimorbid, 23% multimorbid and 15% multimorbid at risk. In two years, the proportion of multimorbid patients increased, especially those at risk. Within the multimorbid at-risk group, total healthcare costs were greatest (€5,027 million), accounting for 62% of the total healthcare cost of the overall patient cohort in 2019. Musculoskeletal diseases, cardiometabolic diseases and tumours were the most common and expensive chronic diseases contributing to the onset of multimorbidity. CONCLUSION: Multimorbidity is causing a heavy burden on Finnish healthcare. The estimates of its effect on healthcare usage and costs should be used to guide healthcare planning. SAGE Publications 2023-09-12 /pmc/articles/PMC10498690/ /pubmed/37711666 http://dx.doi.org/10.1177/26335565231202325 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Article
Wikström, Katja
Linna, Miika
Reissell, Eeva
Laatikainen, Tiina
Multimorbidity transitions and the associated healthcare cost among the Finnish adult population during a two-year follow-up
title Multimorbidity transitions and the associated healthcare cost among the Finnish adult population during a two-year follow-up
title_full Multimorbidity transitions and the associated healthcare cost among the Finnish adult population during a two-year follow-up
title_fullStr Multimorbidity transitions and the associated healthcare cost among the Finnish adult population during a two-year follow-up
title_full_unstemmed Multimorbidity transitions and the associated healthcare cost among the Finnish adult population during a two-year follow-up
title_short Multimorbidity transitions and the associated healthcare cost among the Finnish adult population during a two-year follow-up
title_sort multimorbidity transitions and the associated healthcare cost among the finnish adult population during a two-year follow-up
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498690/
https://www.ncbi.nlm.nih.gov/pubmed/37711666
http://dx.doi.org/10.1177/26335565231202325
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