The contributions of survey-based versus administrative measures of socioeconomic status in predicting type of post-acute care for hospitalized Medicare beneficiaries
© 2021 John Wiley & Sons Ltd..
OBJECTIVES: To assess and compare the associations between socioeconomic status (SES) measures from two sources (claims vs. survey data) and the type of post-acute care (PAC) locations following hospital discharge.
METHODS: This observational study included Medicare Fee-for-Service (FFS) beneficiaries age 65.5 years or older who participated in the Medicare Current Beneficiary Survey (MCBS) and were hospitalized in 2006-2011. Multiple data sets were used including: Area Deprivation Index; Medicare Cost Reports, Provider of Services files, and Area Health Resource File. Multinomial regression models estimated associations between beneficiary's SES and PAC type. SES measures came from surveys (income and education) and administrative records (dual enrollment and area deprivation). PAC types included home with self-care, home health agency, skilled nursing facility (SNF), or inpatient rehabilitation facility.
RESULTS: Low income and dual enrollment were associated with higher SNF use while living in a deprived area was associated with lower SNF use and higher use of home with self-care. Dual enrollment and area deprivation were associated with the largest differences.
CONCLUSIONS: If policies to modify payment based on SES are considered, administrative measures (dual enrollment and area deprivation) rather than survey measures (education and income) may be sufficient.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:28 |
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| Enthalten in: |
Journal of evaluation in clinical practice - 28(2022), 4 vom: 23. Aug., Seite 569-580 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Zhu, Ye [VerfasserIn] |
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| Links: |
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| Themen: |
Hospital discharge |
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| Anmerkungen: |
Date Completed 21.07.2022 Date Revised 24.08.2022 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1111/jep.13647 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM334769205 |
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| 245 | 1 | 4 | |a The contributions of survey-based versus administrative measures of socioeconomic status in predicting type of post-acute care for hospitalized Medicare beneficiaries |
| 264 | 1 | |c 2022 | |
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| 500 | |a Date Completed 21.07.2022 | ||
| 500 | |a Date Revised 24.08.2022 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2021 John Wiley & Sons Ltd. | ||
| 520 | |a OBJECTIVES: To assess and compare the associations between socioeconomic status (SES) measures from two sources (claims vs. survey data) and the type of post-acute care (PAC) locations following hospital discharge | ||
| 520 | |a METHODS: This observational study included Medicare Fee-for-Service (FFS) beneficiaries age 65.5 years or older who participated in the Medicare Current Beneficiary Survey (MCBS) and were hospitalized in 2006-2011. Multiple data sets were used including: Area Deprivation Index; Medicare Cost Reports, Provider of Services files, and Area Health Resource File. Multinomial regression models estimated associations between beneficiary's SES and PAC type. SES measures came from surveys (income and education) and administrative records (dual enrollment and area deprivation). PAC types included home with self-care, home health agency, skilled nursing facility (SNF), or inpatient rehabilitation facility | ||
| 520 | |a RESULTS: Low income and dual enrollment were associated with higher SNF use while living in a deprived area was associated with lower SNF use and higher use of home with self-care. Dual enrollment and area deprivation were associated with the largest differences | ||
| 520 | |a CONCLUSIONS: If policies to modify payment based on SES are considered, administrative measures (dual enrollment and area deprivation) rather than survey measures (education and income) may be sufficient | ||
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| 700 | 1 | |a Stearns, Sally C |e verfasserin |4 aut | |
| 700 | 1 | |a Holmes, George M |e verfasserin |4 aut | |
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