Evidence map›Paper›PMID 35484976›Full record

ArticleJournal of the American Geriatrics Society2022

Comparing the care experiences of Medicare Advantage beneficiaries with and without Alzheimer's disease and related dementias.

David J Meyers, Maricruz Rivera-Hernandez, Daeho Kim, Laura M Keohane, Vincent Mor, Amal N Trivedi

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 13 citations in OpenAlex.

  1. Observational
  2. Identification of prevalent dementia in Medicare Advantage encounters, compared with rigorous cohort assessments.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  3. Patient-Driven Grouping Model and Home Health Use Among Traditional Medicare Beneficiaries.Journal of the American Medical Directors Association · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Addressing Serious Illness Care in Medicare Advantage.The New England journal of medicine · 2023
    Article
  12. Article
  13. Article
  14. 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

6 authors at 2 institutions in 1 country.

David J MeyersDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.ORCID 0000-0002-4081-1751
Maricruz Rivera-HernandezDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.ORCID 0000-0001-5623-9609
Daeho KimDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.
Laura M KeohaneDepartment of Health Policy, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Vincent MorDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.
Amal N TrivediDepartment of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.
Brown University · USVanderbilt University · US

Funding

VARIATIONS IN LIFE'S FINAL CHAPTERP01AG027296 · NIA · BROWN UNIVERSITY · PI AMAL N. TRIVEDI · 2007 to 2026
$38.9M
NIA NIH HHS 5P01AG027296-13NIA NIH HHS P01 AG027296
6 · The paper itself

Abstract

backgroundThe Medicare Advantage (MA) program is rapidly growing. Limited evidence exists about the care experiences of MA beneficiaries with Alzheimer's Disease and Related Dementia (ADRD). Our objective was to compare care experiences for MA beneficiaries with and without ADRD.

methodsWe examined MA beneficiaries who completed the Medicare Advantage Consumer Assessment of Healthcare Providers and Systems (CAHPS) and used inpatient, nursing home, or home health services in the past 3 years. We classified beneficiaries with ADRD using the presence of diagnosis codes in hospitals, nursing homes, and home health records. Our key measures included overall ratings of care and health plan, and indices of receiving timely care, care coordination, receiving needed care, and customer service. We compared differences between beneficiaries with and without ADRD using regression analysis adjusting for demographic, health, and plan characteristics, and stratifying by proxy response status.

resultsAmong beneficiaries sampled by CAHPS, 22.2% with ADRD completed the survey compared to 38.5% without ADRD. Among proxy responses, beneficiaries with ADRD were 4.2 (95% CI: 0.1-8.4) percentage points less likely to report a high score for receiving needed care, and 3.5 percentage points (95% CI: 0.2-6.9) less likely to report a high score for customer service. Among non-proxy responses, those with ADRD were 9.0 (95% CI: 5.5-12.5) percentage points less likely to report a high score for needed care, and 8.5 (95% CI: 5.4-11.5) percentage points less likely to report a high score for customer service.

conclusionsADRD respondents to the CAHPS were more likely to be excluded from CAHPS performance measures because they did not meet eligibility requirements and rates of non-response were higher. Among responders with or without a proxy, MA enrollees with an ADRD diagnosis reported worse care experiences in receiving needed care and in customer service than those without an ADRD diagnosis.

Indexed as

Alzheimer DiseaseMedicare Part CAgedHealth ServicesHospitalsHumansNursing HomesUnited StatesADRDAlzheimer'sCAHPSMedicare Advantage

Identifiers

PMID35484976
PMCPMC9378465
OpenAlexW4225123975

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.