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Cost structure in specialist mental healthcare: what are the main drivers of the most expensive episodes?
BACKGROUND: Mental disorders are one of the costliest conditions to treat in Norway, and research into the costs of specialist mental healthcare are needed. The purpose of this article is to present a cost structure and to investigate the variables that have the greatest impact on high-cost episodes...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10633930/ https://www.ncbi.nlm.nih.gov/pubmed/37946305 http://dx.doi.org/10.1186/s13033-023-00606-6 |
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author | Ki, Yeujin McAleavey, Andrew Athan Moger, Tron Anders Moltu, Christian |
author_facet | Ki, Yeujin McAleavey, Andrew Athan Moger, Tron Anders Moltu, Christian |
author_sort | Ki, Yeujin |
collection | PubMed |
description | BACKGROUND: Mental disorders are one of the costliest conditions to treat in Norway, and research into the costs of specialist mental healthcare are needed. The purpose of this article is to present a cost structure and to investigate the variables that have the greatest impact on high-cost episodes. METHODS: Patient-level cost data and clinic information during 2018–2021 were analyzed (N = 180,220). Cost structure was examined using two accounting approaches. A generalized linear model was used to explain major cost drivers of the 1%, 5%, and 10% most expensive episodes, adjusting for patients’ demographic characteristics [gender, age], clinical factors [length of stay (LOS), admission type, care type, diagnosis], and administrative information [number of planned consultations, first hospital visits, interval between two hospital episode]. RESULTS: One percent of episodes utilized 57% of total resources. Labor costs accounted for 87% of total costs. The more expensive an episode was, the greater the ratio of the inpatient (ward) cost was. Among the top-10%, 5%, and 1% most expensive groups, ward costs accounted for, respectively, 89%, 93%, and 99% of the total cost, whereas the overall average was 67%. Longer LOS, ambulatory services, surgical interventions, organic disorders, and schizophrenia were identified as the major cost drivers of the total cost, in general. In particular, LOS, ambulatory services, and schizophrenia were the factors that increased costs in expensive subgroups. The “first hospital visit” and “a very short hospital re-visit” were associated with a cost increase, whereas “the number of planned consultations” was associated with a cost decrease. CONCLUSIONS: The specialist mental healthcare division has a unique cost structure. Given that resources are utilized intensively at the early stage of care, improving the initial flow of hospital care can contribute to efficient resource utilization. Our study found empirical evidence that planned outpatient consultations may be associated with a reduced health care burden in the long-term. |
format | Online Article Text |
id | pubmed-10633930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106339302023-11-10 Cost structure in specialist mental healthcare: what are the main drivers of the most expensive episodes? Ki, Yeujin McAleavey, Andrew Athan Moger, Tron Anders Moltu, Christian Int J Ment Health Syst Research BACKGROUND: Mental disorders are one of the costliest conditions to treat in Norway, and research into the costs of specialist mental healthcare are needed. The purpose of this article is to present a cost structure and to investigate the variables that have the greatest impact on high-cost episodes. METHODS: Patient-level cost data and clinic information during 2018–2021 were analyzed (N = 180,220). Cost structure was examined using two accounting approaches. A generalized linear model was used to explain major cost drivers of the 1%, 5%, and 10% most expensive episodes, adjusting for patients’ demographic characteristics [gender, age], clinical factors [length of stay (LOS), admission type, care type, diagnosis], and administrative information [number of planned consultations, first hospital visits, interval between two hospital episode]. RESULTS: One percent of episodes utilized 57% of total resources. Labor costs accounted for 87% of total costs. The more expensive an episode was, the greater the ratio of the inpatient (ward) cost was. Among the top-10%, 5%, and 1% most expensive groups, ward costs accounted for, respectively, 89%, 93%, and 99% of the total cost, whereas the overall average was 67%. Longer LOS, ambulatory services, surgical interventions, organic disorders, and schizophrenia were identified as the major cost drivers of the total cost, in general. In particular, LOS, ambulatory services, and schizophrenia were the factors that increased costs in expensive subgroups. The “first hospital visit” and “a very short hospital re-visit” were associated with a cost increase, whereas “the number of planned consultations” was associated with a cost decrease. CONCLUSIONS: The specialist mental healthcare division has a unique cost structure. Given that resources are utilized intensively at the early stage of care, improving the initial flow of hospital care can contribute to efficient resource utilization. Our study found empirical evidence that planned outpatient consultations may be associated with a reduced health care burden in the long-term. BioMed Central 2023-11-09 /pmc/articles/PMC10633930/ /pubmed/37946305 http://dx.doi.org/10.1186/s13033-023-00606-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Ki, Yeujin McAleavey, Andrew Athan Moger, Tron Anders Moltu, Christian Cost structure in specialist mental healthcare: what are the main drivers of the most expensive episodes? |
title | Cost structure in specialist mental healthcare: what are the main drivers of the most expensive episodes? |
title_full | Cost structure in specialist mental healthcare: what are the main drivers of the most expensive episodes? |
title_fullStr | Cost structure in specialist mental healthcare: what are the main drivers of the most expensive episodes? |
title_full_unstemmed | Cost structure in specialist mental healthcare: what are the main drivers of the most expensive episodes? |
title_short | Cost structure in specialist mental healthcare: what are the main drivers of the most expensive episodes? |
title_sort | cost structure in specialist mental healthcare: what are the main drivers of the most expensive episodes? |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10633930/ https://www.ncbi.nlm.nih.gov/pubmed/37946305 http://dx.doi.org/10.1186/s13033-023-00606-6 |
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