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A data perspective on long-term care

K Liu1

  • 1Urban Institute, Washington, DC 20037.

The Gerontologist
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Summary
This summary is machine-generated.

Advancements in data set design have improved empirical understanding of long-term care services. New data sets better reflect the evolving needs of long-term care recipients and services over time.

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Area of Science:

  • Gerontology
  • Health Services Research
  • Data Science

Background:

  • Empirical data on long-term care (LTC) service use has advanced due to improved data set design.
  • Recognizing the longitudinal nature of LTC, new data sets are being developed to capture changes in services and recipients over extended periods.

Purpose of the Study:

  • To highlight progress in the development of long-term care data sets.
  • To examine the relationship between policy questions and the design of relevant data sets for long-term care.

Main Methods:

  • Review of advancements in data set design for long-term care research.
  • Analysis of how policy interests influence the structure of long-term care data.

Main Results:

  • Improvements in data set design have facilitated empirical research on various aspects of long-term care.
  • Data set development increasingly acknowledges the dynamic nature of long-term care, accommodating changes in service utilization and recipient characteristics.

Conclusions:

  • Progress in data set development is crucial for understanding long-term care.
  • Aligning data set design with policy questions enhances the utility and relevance of long-term care research.