Evidence map›Paper›PMID 34448123›Full record

ArticleJournal of racial and ethnic health disparities2022

Medicare Enrollment Rates Across Six Asian Subgroups in the USA.

Sunha Choi

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of racial and ethnic health disparities, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 46% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

1 author at 1 institution in 1 country.

Sunha ChoiDepartment of Public Administration, Seoul National University of Science and Technology, 232 Gongneung-ro, Nowon-gu, Sang-sang gwan #814, Seoul, South Korea. schoi12@seoultech.ac.kr.ORCID http://orcid.org/0000-0002-0184-9933
Seoul National University of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAlthough Medicare is a vital source of health insurance coverage for older Americans, little is known about Medicare enrollment among older Asians. This study aimed to examine heterogeneity in Medicare enrollment across the six largest subgroups of Asian Americans (Chinese, Japanese, Filipino, Indian, Korean, and Vietnamese), in relation to their citizenship status and labor force participation.

methodsData from the American Community Survey Public Use Microdata Sample (2014-2018) were analyzed for older foreign-born Asians aged 65 or older (N = 83,378). A two-level multilevel logistic regression model (states > individuals) was used to model the probabilities of Medicare enrollment, accounting for state-level residential clustering by Asian subgroup and, thus, for nonindependence among respondents from the same state.

resultsThe results indicated a substantial amount of heterogeneity in Medicare enrollment across the six Asian subgroups. Although the overall Medicare enrollment rate was low (90.2%), the rates varied from 85.5% among Indians to 93.8% among Koreans and Japanese. Naturalized citizens and those not in the labor force were associated with greater probabilities of Medicare enrollment. However, the relative differences in the Medicare enrollment rates across the six Asian subgroups were different by individuals' naturalization status and labor force participation (i.e., significant three-way interactions). DISCUSSION: These results highlight that aggregated data cannot accurately represent Medicare and health insurance status of older Asians with different sub-ethnic backgrounds. Intragroup and intergroup differences in Medicare enrollment among foreign-born older Asians should be considered for targeted policy approaches for this group of older adults.

Indexed as

AsianMedicareAgedAsian PeopleEmploymentEthnicityHumansUnited StatesAsian AmericanHealth insuranceMedicare enrollmentOlder adult

Identifiers

PMID34448123
OpenAlexW3193682505

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.