Living longer in declining health
Developed countries are facing challenges in caring for people who are living longer but with a greater morbidity burden. Such people are likely to be regular users of healthcare. Objectives: Our analytical aim is to identify factors that explain healthcare costs among: (1) people over 55 years old;...
| Autores: | , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:301699 |
| Acceso en línea: | https://ddd.uab.cat/record/301699 https://dx.doi.org/urn:doi:10.1016/j.socscimed.2023.115955 |
| Access Level: | acceso abierto |
| Palabra clave: | Adjusted morbidity groups Long term conditions Multimorbidity Proximity to death |
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Living longer in declining healthFactors driving healthcare costs among older peopleMaynou, Laia|||0000-0002-0447-2959Street, A.García-Altés, Anna|||0000-0003-3889-5375Adjusted morbidity groupsLong term conditionsMultimorbidityProximity to deathDeveloped countries are facing challenges in caring for people who are living longer but with a greater morbidity burden. Such people are likely to be regular users of healthcare. Objectives: Our analytical aim is to identify factors that explain healthcare costs among: (1) people over 55 years old; (2) the top 5% and 1% high-cost users among this population; (3) those that transition into the top 5% and 1% from one year to the next; (4) those that appear in the top 5% and 1% over multiple years; and (5) those that remain in the top 5% and 1% over consecutive years. The data covered 2011 to 2017 and comprised 1,485,170 observations for a random sample of 224,249 people aged over 55 years in the Catalan region of Spain. We analysed each person's annual healthcare costs across all public healthcare settings related to their age, gender, socio-economic status (SES), whether or not and when they died, and morbidity status, through Adjusted Morbidity Groups. After controlling for morbidity status, the oldest people did not have the highest costs and were less likely to be among the most costly patients. There was also only a modest impact on costs associated with SES and with dying. Healthcare costs were substantially higher for those with a neoplasm or four or more long term conditions (LTCs), costs rising with the complexity of their conditions. These morbidity indicators were also the most important factors associated with being and remaining in the top 5% or top 1% of costs. Our results suggest that age and proximity to death are poor predictors of higher costs. Rather, healthcare costs are explained mainly by morbidity status, particularly whether someone has neoplasms or multiple LTCs. Morbidity measures should be included in future studies of healthcare costs.Universitat Autònoma de Barcelona 22023-01-0120232023-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/301699https://dx.doi.org/urn:doi:10.1016/j.socscimed.2023.115955reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:3016992026-06-06T12:50:31Z |
| dc.title.none.fl_str_mv |
Living longer in declining health Factors driving healthcare costs among older people |
| title |
Living longer in declining health |
| spellingShingle |
Living longer in declining health Maynou, Laia|||0000-0002-0447-2959 Adjusted morbidity groups Long term conditions Multimorbidity Proximity to death |
| title_short |
Living longer in declining health |
| title_full |
Living longer in declining health |
| title_fullStr |
Living longer in declining health |
| title_full_unstemmed |
Living longer in declining health |
| title_sort |
Living longer in declining health |
| dc.creator.none.fl_str_mv |
Maynou, Laia|||0000-0002-0447-2959 Street, A. García-Altés, Anna|||0000-0003-3889-5375 |
| author |
Maynou, Laia|||0000-0002-0447-2959 |
| author_facet |
Maynou, Laia|||0000-0002-0447-2959 Street, A. García-Altés, Anna|||0000-0003-3889-5375 |
| author_role |
author |
| author2 |
Street, A. García-Altés, Anna|||0000-0003-3889-5375 |
| author2_role |
author author |
| dc.contributor.none.fl_str_mv |
Universitat Autònoma de Barcelona |
| dc.subject.none.fl_str_mv |
Adjusted morbidity groups Long term conditions Multimorbidity Proximity to death |
| topic |
Adjusted morbidity groups Long term conditions Multimorbidity Proximity to death |
| description |
Developed countries are facing challenges in caring for people who are living longer but with a greater morbidity burden. Such people are likely to be regular users of healthcare. Objectives: Our analytical aim is to identify factors that explain healthcare costs among: (1) people over 55 years old; (2) the top 5% and 1% high-cost users among this population; (3) those that transition into the top 5% and 1% from one year to the next; (4) those that appear in the top 5% and 1% over multiple years; and (5) those that remain in the top 5% and 1% over consecutive years. The data covered 2011 to 2017 and comprised 1,485,170 observations for a random sample of 224,249 people aged over 55 years in the Catalan region of Spain. We analysed each person's annual healthcare costs across all public healthcare settings related to their age, gender, socio-economic status (SES), whether or not and when they died, and morbidity status, through Adjusted Morbidity Groups. After controlling for morbidity status, the oldest people did not have the highest costs and were less likely to be among the most costly patients. There was also only a modest impact on costs associated with SES and with dying. Healthcare costs were substantially higher for those with a neoplasm or four or more long term conditions (LTCs), costs rising with the complexity of their conditions. These morbidity indicators were also the most important factors associated with being and remaining in the top 5% or top 1% of costs. Our results suggest that age and proximity to death are poor predictors of higher costs. Rather, healthcare costs are explained mainly by morbidity status, particularly whether someone has neoplasms or multiple LTCs. Morbidity measures should be included in future studies of healthcare costs. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2 2023-01-01 2023 2023-01-01 |
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Article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/article |
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article |
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https://ddd.uab.cat/record/301699 https://dx.doi.org/urn:doi:10.1016/j.socscimed.2023.115955 |
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https://ddd.uab.cat/record/301699 https://dx.doi.org/urn:doi:10.1016/j.socscimed.2023.115955 |
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Inglés eng |
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Inglés |
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eng |
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open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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openAccess |
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