Evidence map›Paper›PMID 31617948›Full record

ArticleJournal of the American Geriatrics Society2020

Social and Health-Related Factors Associated with Enrollment in Medicare Advantage Plans in Older Adults.

Amit Kumar, Maricruz Rivera-Hernandez, Amol M Karmarkar, Lin-Na Chou, Yong-Fang Kuo, Julie A Baldwin, Orestis A Panagiotou, Robert E Burke, Kenneth J Ottenbacher

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

9 authors at 5 institutions in 1 country.

Amit KumarCollege of Health and Human Services, Northern Arizona University, Flagstaff, Arizona.
Maricruz Rivera-HernandezDepartment of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island.ORCID 0000-0001-5623-9609
Amol M KarmarkarDepartment of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, Virginia.
Lin-Na ChouDepartment of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, Texas.
Yong-Fang KuoDepartment of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, Texas.
Julie A BaldwinCollege of Health and Human Services, Northern Arizona University, Flagstaff, Arizona.
Orestis A PanagiotouDepartment of Health Services, Policy & Practice, Brown University School of Public Health, Providence, Rhode Island.
Robert E BurkeCenter for Health Equity Research and Promotion, Corporal Crescenz VA Medical Center, Philadelphia, Pennsylvania.
Kenneth J OttenbacherDepartment of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, Texas.
The University of Texas Medical Branch at Galveston · USBrown University · USNorthern Arizona University · USPhiladelphia VA Medical Center · USVirginia Commonwealth University · US

Funding

SSCIMA: Integrating Analysis of Socio-economic Sub-population Dynamics to Improve Spatial Models of Infectious DiseaseU54MD012388 · NIMHD · NORTHERN ARIZONA UNIVERSITY · PI Samantha Jane Sabo · 2017 to 2026
$49.7M
Tracking and Evaluation CoreU54GM115677 · NIGMS · BROWN UNIVERSITY · PI SCHMID, CHRISTOPHER H. · 2016 to 2025
$45.0M
LONGITUDINAL STUDY OF MEXICAN AMERICAN ELDERLY HEALTHR01AG010939 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI MARKIDES, KYRIAKOS S · 1992 to 2022
$14.6M
Technique Development CoreP2CHD065702 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI OTTENBACHER, KENNETH J. · 2015 to 2019
$5.2M
Center for Rehabilitation Research Using Large DatasetsR24HD065702 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI OTTENBACHER, KENNETH J. · 2010 to 2014
$4.0M
Long-term Health Outcomes in Mexican American Older AdultsR01MD010355 · NIMHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI AL SNIH, SOHAM · 2016 to 2019
$1.9M
Comparing Access and Effectiveness of Post-Acute Care Settings Among Medicare BeneficiariesK01HD086290 · NICHD · VIRGINIA COMMONWEALTH UNIVERSITY · PI KARMARKAR, AMOL · 2016 to 2020
$636k
Medicare Advantage Plan Choice and Selection Among Racial and Ethnic Minorities and Low-Income SeniorsK01AG057822 · NIA · BROWN UNIVERSITY · PI RIVERA-HERNANDEZ, MARICRUZ · 2019 to 2023
$632k
Hospital-Based Rehabilitation Services in Older Adults After Hip Fracture and Impact on Health OutcomesR03AG060345 · NIA · NORTHERN ARIZONA UNIVERSITY · PI KUMAR, AMIT · 2018 to 2019
$177k
Association of Timing of Inpatient Rehabilitation in Ischemic Stroke and Health OutcomesR03HD096372 · NICHD · NORTHERN ARIZONA UNIVERSITY · PI KUMAR, AMIT · 2018 to 2019
$160k
Improving Transitional Care for Veterans Discharged to Post-acute Care FacilitiesIK2HX001796 · VA · VA EASTERN COLORADO HEALTH CARE SYSTEM · PI BURKE, ROBERT EDWARD · 2019 to 2020
–
HSRD VA IK2 HX001796NIA NIH HHS K01 AG057822NIA NIH HHS R01 AG010939NIA NIH HHS R03 AG060345NICHD NIH HHS K01 HD086290NICHD NIH HHS P2C HD065702NICHD NIH HHS R03 HD096372NICHD NIH HHS R24 HD065702NIGMS NIH HHS U54GM115677NIMHD NIH HHS R01 MD010355NIMHD NIH HHS U54 MD012388
6 · The paper itself

Abstract

objectivesWe assessed the characteristics of older Mexican American enrollees in traditional fee-for-service (FFS) and Medicare Advantage (MA) plans and the factors associated with disenrollment from FFS and enrollment in MA plans.

designLongitudinal study linked with Medicare claims data.

settingThe Hispanic Established Populations for the Epidemiologic Study of the Elderly.

participantsCommunity-dwelling Mexican American older adults (N = 1455). MEASUREMENTS: We examined insurance status using the Medicare Beneficiary Summary File and estimated the association of sociodemographic and clinical factors with insurance plan switching.

resultsAmong Mexican American older adults, FFS enrollees were more likely to be born in Mexico, speak Spanish, have lower levels of education, and have more disability than MA enrollees. Older adults with a larger number of limitations of instrumental activities of daily living (odds ratio [OR] = .50; 95% confidence interval [CI] = .26-.98) and more social support (OR = .70; 95% CI = .45-.98) were less likely to switch from FFS to MA compared with older adults with no limitations and less social support. Additionally, older adults living in counties with a greater number of MA plans were more likely to switch from FFS to MA (OR = 2.1; 95% CI = 1.45-3.16), compared with counties with a lower number of MA plans. In counties with a higher number of MA plans, older adults with more social support had lower odds of switching from FFS to MA (OR = .48; 95% CI = .28-.82) compared with older adults with less social support.

conclusionCompared with those enrolled in MA, older Mexican American adults enrolled in Medicare FFS are more socioeconomically disadvantaged and more likely to demonstrate poor health status. Stronger social support and increased physical limitations were strongly associated with less frequent switching from FFS to MA plans. Additionally, increased availability of MA plans at the county level is a significant driver of enrollment in MA plans. J Am Geriatr Soc 68:313-320, 2020.

Indexed as

Decision MakingSocial SupportAgedAged, 80 and overFemaleHumansIndependent LivingLongitudinal StudiesMaleMedicare Part CMexican AmericansSocial Determinants of HealthUnited Statesdisabilitymanaged careMedicare fee-for-serviceMexicanssocial determinants

Identifiers

PMID31617948
PMCPMC7015142
OpenAlexW2980794787

What OpenQuestion holds

Textmetadata
LicenceTDM
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.