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Variation in End-of-Life Trajectories in Persons Aged 70 Years and Older, Sweden, 2018‒2020.

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Title: Variation in End-of-Life Trajectories in Persons Aged 70 Years and Older, Sweden, 2018‒2020.
Authors: Ebeling, Marcus, Meyer, Anna C., Modig, Karin
Source: American Journal of Public Health. Jul2023, Vol. 113 Issue 7, p786-794. 9p.
Subjects: Causes of death, Structural equation modeling, Terminal care, Age distribution, Sex distribution, Aging, Research funding, Death, Elder care, Attitudes toward death
Geographic Terms: Sweden
Abstract: Objectives. To analyze variation in end-of-life trajectories with regard to elder care and medical care and how they relate to age, gender, and causes of death. Methods. We analyzed all deaths of persons at age 70 years and older between the years 2018 and 2020 in Sweden, using a linkage of population registers. We applied latent class analysis to identify distinct types of end-of-life trajectories. Results. We identified 6 different types of end-of-life trajectories. The types differed substantially in the amount of utilized elder care and medical care before death. Deaths characterized by high levels of elder care and medical care utilization become more common with age. The trajectory types show distinct cause-of-death profiles. Conclusions. Most deaths today do not comply with what is often referred to as a "good" death (e.g., retaining control or requiring low levels of elder care). The results suggest that longer lifespans partly result from a prolonged dying process. Public Health Implications. The current modes of dying call for a discussion about how we want to die in an era of increasing lifespans and aging societies. (Am J Public Health. 2023;113(7):786–794. https://doi.org/10.2105/AJPH.2023.307281) [ABSTRACT FROM AUTHOR]
Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Variation in End-of-Life Trajectories in Persons Aged 70 Years and Older, Sweden, 2018‒2020.
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  Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Public+Health%22">American Journal of Public Health</searchLink>. Jul2023, Vol. 113 Issue 7, p786-794. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Causes+of+death%22">Causes of death</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Terminal+care%22">Terminal care</searchLink><br /><searchLink fieldCode="DE" term="%22Age+distribution%22">Age distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Sex+distribution%22">Sex distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Aging%22">Aging</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Death%22">Death</searchLink><br /><searchLink fieldCode="DE" term="%22Elder+care%22">Elder care</searchLink><br /><searchLink fieldCode="DE" term="%22Attitudes+toward+death%22">Attitudes toward death</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Sweden%22">Sweden</searchLink>
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  Label: Abstract
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  Data: Objectives. To analyze variation in end-of-life trajectories with regard to elder care and medical care and how they relate to age, gender, and causes of death. Methods. We analyzed all deaths of persons at age 70 years and older between the years 2018 and 2020 in Sweden, using a linkage of population registers. We applied latent class analysis to identify distinct types of end-of-life trajectories. Results. We identified 6 different types of end-of-life trajectories. The types differed substantially in the amount of utilized elder care and medical care before death. Deaths characterized by high levels of elder care and medical care utilization become more common with age. The trajectory types show distinct cause-of-death profiles. Conclusions. Most deaths today do not comply with what is often referred to as a "good" death (e.g., retaining control or requiring low levels of elder care). The results suggest that longer lifespans partly result from a prolonged dying process. Public Health Implications. The current modes of dying call for a discussion about how we want to die in an era of increasing lifespans and aging societies. (Am J Public Health. 2023;113(7):786–794. https://doi.org/10.2105/AJPH.2023.307281) [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=164148968
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        Type: general
      – SubjectFull: Structural equation modeling
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      – SubjectFull: Terminal care
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      – SubjectFull: Age distribution
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      – SubjectFull: Sex distribution
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      – SubjectFull: Research funding
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      – SubjectFull: Death
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      – SubjectFull: Elder care
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      – SubjectFull: Attitudes toward death
        Type: general
      – SubjectFull: Sweden
        Type: general
    Titles:
      – TitleFull: Variation in End-of-Life Trajectories in Persons Aged 70 Years and Older, Sweden, 2018‒2020.
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              Text: Jul2023
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