Leveraging Existing Datasets to Advance Family Caregiving Research : Opportunities to Measure What Matters
More than 17.7 million people in the U.S. care for older adults. Analyzing population datasets can increase our understanding of the needs of family caregivers of older adults. We reviewed 14 U.S. population-based datasets (2003-2023) including older adults' and caregivers' data to assess inclusion and measurement of 8 caregiving science domains, with a focus on whether measures were validated and/or unique variables were used. Challenges exist related to survey design, sampling, and measurement. Findings highlight the need for consistent data collection by researchers, state, tribal, local, and federal programs, for improved utility of population-based datasets for caregiving and aging research.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2024 |
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| Enthalten in: |
Journal of aging & social policy - (2024) vom: 16. Apr., Seite 1-19 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Goodwin, Rebecca M [VerfasserIn] |
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| Links: |
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| Themen: |
Big data |
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| Anmerkungen: |
Date Revised 16.04.2024 published: Print-Electronic Citation Status Publisher |
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| doi: |
10.1080/08959420.2024.2320043 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a More than 17.7 million people in the U.S. care for older adults. Analyzing population datasets can increase our understanding of the needs of family caregivers of older adults. We reviewed 14 U.S. population-based datasets (2003-2023) including older adults' and caregivers' data to assess inclusion and measurement of 8 caregiving science domains, with a focus on whether measures were validated and/or unique variables were used. Challenges exist related to survey design, sampling, and measurement. Findings highlight the need for consistent data collection by researchers, state, tribal, local, and federal programs, for improved utility of population-based datasets for caregiving and aging research | ||
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| 700 | 1 | |a Ellington, Lee |e verfasserin |4 aut | |
| 700 | 1 | |a Smith, Ken R |e verfasserin |4 aut | |
| 700 | 1 | |a Stephens, Caroline E |e verfasserin |4 aut | |
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