Evidence map›Paper›PMID 35196482›Full record

ArticleJournal of the American Medical Directors Association2023

Using Medicare Enrollment Data to Identify Beneficiaries in Assisted Living.

Helena Temkin-Greener, Yunjiao Mao, Yue Li, Brian McGarry

Abstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Assisted living or nursing home: Who is moving in?Journal of the American Geriatrics Society · 2023
    Article
  10. Hospital Proximity and Emergency Department Use among Assisted Living Residents.Journal of the American Medical Directors Association · 2023
    Article
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Article
  16. The Imperative to Reimagine Assisted Living.Journal of the American Medical Directors Association · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Helena Temkin-GreenerDepartment of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA. Electronic address: Helena_Temkin-Greener@urmc.rochester.edu.
Yunjiao MaoDepartment of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Yue LiDepartment of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.
Brian McGarryDepartment of Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.

Funding

Suicide Death Among Older Adults Receiving Residential Long-term CareRF1MH117528 · NIMH · UNIVERSITY OF ROCHESTER · PI CAI, XUEYA, LI, YUE · 2018 to 2018
$1.6M
Patient Safety Culture in Assisted Living: Association with OutcomesR01HS026893 · AHRQ · UNIVERSITY OF ROCHESTER · PI TEMKIN-GREENER, HELENA · 2019 to 2022
$1.5M
AHRQ HHS R01 HS026893
6 · The paper itself

Abstract

objectivesDevelop an approach for identifying Medicare beneficiaries residing in US assisted living (AL) communities in calendar year 2018.

designWe used the following data sources: national directory of licensed ALs, file of US addresses and their associated 9-digit ZIP codes (ZIP+4), Medicare Enrollment Database (EDB), Master Beneficiary Summary File (MBSF), and the Minimum Data Set (MDS). SETTING AND

participantsA total of 412,723 Medicare beneficiaries who lived in ZIP+4 codes associated with an AL were identified as residents. Approximately 28% of the 16,682 ALs in which these beneficiaries resided were smaller communities (<25 beds).

methodsFor each AL, we identified ZIP+4 codes associated with its address. Using this ZIP+4 file, we searched through the Medicare EDB to identify beneficiaries who lived in each ZIP+4 code. The MBSF and MDS were used to exclude beneficiaries who died before 2018 and those whose AL and nursing home stays overlapped. We identified 3 cohorts of Medicare beneficiaries: (1) residents of a specific AL (one AL address per ZIP+4), (2) most likely AL residents, and (3) not likely AL residents. Comparisons across these cohorts were used to examine construct validity of our approach. Additional comparisons were made to AL residents based on the National Survey of Long-Term Care Providers (NSLTCP) and to fee-for-service (FFS) Medicare community-dwelling and long-stay nursing home residents.

resultsThe cohorts of beneficiaries identified as AL residents exhibited good construct validity. AL residents also showed similarity in demographic characteristics to the 2018 sample from the NSLTCP, and as expected were different from FFS community and nursing home beneficiaries. CONCLUSION AND IMPLICATIONS: We developed a methodology for identifying Medicare beneficiaries who reside in ALs. As this residential setting continues to grow, future studies will need effective approaches for identifying AL residents in order to evaluate the quality of care they receive.

Indexed as

MedicareNursing HomesAgedFee-for-Service PlansHumansRetrospective StudiesSkilled Nursing FacilitiesUnited StatesAssisted livingMedicaremethodologyZIP+4 codes

Identifiers

PMID35196482
PMCPMC9391528

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.