A Methodology to Identify a Cohort of Medicare Beneficiaries Residing in Large Assisted Living Facilities Using Administrative Data
Bibliographic Data
| ID | 9103076 |
|---|---|
| Authors | Kali S Thomas (0000-0003-3436-2184, Brown University School of Public Health, corresponding author), David Dosa (0000-0002-1916-983X, Brown University School of Public Health, corresponding author), Pedro Gozalo (0000-0002-7063-1196, John Brown University, corresponding author), Pedro L Gozalo (Brown University School of Public Health), David C Grabowski (0000-0003-2915-5770, Harvard Medical School), Jennifer Nazareno (0000-0003-1435-876X, Brown University School of Public Health, corresponding author), Rajesh Makineni (Brown University School of Public Health, corresponding author), Vincent Mor (0000-0003-0084-1267, Brown University School of Public Health, corresponding author) |
| Year | 2018 |
| Volume | 56 |
| Issue | 2 |
| Pages | e10-e15 |
| Publication date | 2018-02-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0000000000000659 |
| PMID | 27820597 |
| OpenAlex | W2547198649 |
| Language | EN |
| Citations received | 3 |
| References cited | 10 |
BACKGROUND: Assisted living is a popular option for housing and long-term care. OBJECTIVE: To develop and test a methodology to identify Medicare beneficiaries residing in assisted living facilities (ALFs). RESEARCH DESIGN: We compiled a finder file of 9-digit ZIP codes representing large ALFs (25+ beds) by matching Outcome and Assessment Information Set (OASIS) assessments and Medicare Part B Claims to the Medicare enrollment records and addresses of 11,751 ALFs. Using this finder file, we identified 738,567 beneficiaries residing in validated ALF ZIP codes in 2007-2009. We compared characteristics of this cohort to those of ALF residents in the National Survey of Residential Care Facilities (n=3009), a sample of community-dwelling Medicare beneficiaries (n=33,025,690), and long-stay nursing home residents (n=1,287,572). DATA SOURCES: A national list of licensed ALFs, Medicare enrollment records, and administrative health care databases. RESULTS: The ALF cohort we identified had good construct validity based on their demographic characteristics, health, and health care utilization when compared with ALF residents in the National Survey of Residential Care Facilities, community-dwelling Medicare beneficiaries, and long-stay nursing home residents. CONCLUSIONS: Our finder file of 9-digit ZIP codes enables identification of ALF residents using administrative data. This approach will allow researchers to examine questions related to the quality of care, health care utilization, and outcomes of residents in this growing sector of long-term care
Assisted living · Assisted Living Facility · Cohort · Environmental health · Family medicine · Health care · Long-term care · Minimum Data Set · Nursing homes · Geriatric Care and Nursing Homes · Health disparities and outcomes · Medicine · Migration, Aging, and Tourism Studies · Nursing · Gerontology
Association of Medicaid Financing and Concentration of Assisted Living Residents Dually Eligible for Medicare and Medicaid
Association Between State Regulations Supportive of Third-party Services and Likelihood of Assisted Living Residents in the US Dying in Place
Characteristics and End-of-Life Care Pathways of Decedents From a National Cohort of Assisted Living Residents
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,75 |
| Citation span | 2022 - 2024 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |