AI Article Synopsis

  • - The text discusses the growing need for strategies to prevent or reduce care dependency among individuals, with a focus on insights from long-term care assessments.
  • - It highlights a study analyzing data from 339,486 first-time long-term care applicants aged 60 and older in 2021, revealing that a majority were in lower care levels and common diagnoses included senility, polyarthritis, and dementia.
  • - The findings indicate that social factors like age, gender, living arrangements, and geographic location impact care level classification, suggesting that further research is needed to understand these regional differences in diagnoses.

Article Abstract

Background: The increasing number of care-dependent individuals requires approaches to prevent care dependency or reduce the loss of independence. Long-term care assessments can provide valuable insights into this.

Objective: The aim of this article is to describe initial applicants with an identified need for long-term care as well as to provide a differentiated analysis of care-related diagnoses by age, gender, care level and federal state.

Material And Methods: The nationwide database consists of long-term care assessments conducted by the Medical Service (MD) of individuals insured with the AOK aged 60 years and above who received a care level (PG) for the first time in 2021. Information relevant to long-term care was analyzed descriptively.

Results: In this study 339,486 individuals with an average age of 79.6 years (±8.4 years) and a female proportion of 59.0% were analyzed. Approximately one half received care level 2 and 32.4% received care level 1. Care levels 3-5 were assessed less frequently (16.2% vs. 4.8% vs. 1.7%, respectively). Individuals living alone were represented more strongly in lower care levels, while individuals not living alone had a higher proportion in care levels 3-5. The most frequent care-relevant diagnoses were senility (R54), polyarthritis (M15) and dementia (F03) with significant differences observed between federal states (ICD-10 R chapter: 0.8% Berlin and Brandenburg vs. 37.9% Saxony; M chapter: 13.6% Bavaria and Hamburg vs. 39.9% Mecklenburg-Western Pomerania).

Conclusion: Social determinants, such as age, gender, living alone, and region can play a role in the classification into a care level. Significant differences in care-related diagnoses between federal states warrant further investigation in future research.

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Source
http://dx.doi.org/10.1007/s00391-024-02344-xDOI Listing

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