Evidence map›Paper›PMID 39882151›Full record

ArticleHealth affairs scholar2025

Higher than expected telemedicine use by racial and ethnic minority and cognitively impaired Medicare beneficiaries.

Manying Mandy Cui, Mei Leng, Julia Arbanas, Artem Romanov, Chi-Hong Tseng, Melissa Y Wei, Cheryl L Damberg, Nina Harawa, John N Mafi, Catherine Sarkisian

Abstract read
In one paragraph

Article in Health affairs scholar, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

10 authors.

Manying Mandy CuiDivision of General Internal Medicine and Health Service Research, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, United States.ORCID https://orcid.org/0009-0005-3404-4209
Mei LengDivision of General Internal Medicine and Health Service Research, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, United States.
Julia ArbanasDivision of General Internal Medicine and Health Service Research, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, United States.
Artem RomanovDivision of General Internal Medicine and Health Service Research, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, United States.ORCID https://orcid.org/0009-0002-3308-1073
Chi-Hong TsengDivision of General Internal Medicine and Health Service Research, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, United States.ORCID https://orcid.org/0000-0002-2549-6167
Melissa Y WeiCenter for the Study of Healthcare Innovation, Implementation and Policy, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA 90073, United States.ORCID https://orcid.org/0000-0001-5093-6040
Cheryl L DambergCenter of Excellence on Health System Performance, RAND Corporation, Santa Monica, CA 90401, United States.ORCID https://orcid.org/0000-0001-8169-9420
Nina HarawaDivision of General Internal Medicine and Health Service Research, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, United States.ORCID https://orcid.org/0000-0002-7486-8393
John N MafiDivision of General Internal Medicine and Health Service Research, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, United States.
Catherine SarkisianDivision of General Internal Medicine and Health Service Research, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, United States.ORCID https://orcid.org/0000-0003-2768-2323

Funding

Identifying Approaches to Measure and Reduce Harmful, Low-Value Care Among Older Americans with Mild Cognitive Impairment and DementiaR01AG070017 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MAFI, JOHN N. · 2021 to 2025
$2.6M
Leveraging Electronic Health Records to Measure and Reduce Harmful, Low-Value Care Among Older AdultsK76AG064392 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MAFI, JOHN · 2020 to 2024
$1.2M
NIA NIH HHS K76 AG064392NIA NIH HHS R01 AG070017
6 · The paper itself

Abstract

Although pandemic-era telemedicine flexibilities may have preserved access to care, concerns remain that telemedicine may have been inequitably distributed among older adults, especially those with mild cognitive impairment or dementia (MCID). As telemedicine flexibilities are set to fully expire on December 31, 2024, we aimed to examine pandemic-era and future-intended telemedicine use among older Americans to help inform post-pandemic telemedicine policy design. We hypothesized that telemedicine would be disproportionately underutilized among older adults with MCID or with racial and ethnic minority status. We used nationally representative survey data from the Health and Retirement Study and analyzed pandemic-era and future-intended telemedicine use among 10 075 Medicare beneficiaries aged >50 years during 2020-2022 by cognition across beneficiaries-level characteristics such as age, gender, insurance status, education, and multimorbidity. Results were adjusted by survey weights and nonresponse rates for national representativeness. Contrary to our hypothesis, compared with White Medicare beneficiaries, Hispanic and Black beneficiaries with normal cognition reported 44% and 57% greater pandemic-era and future-intended telemedicine use, respectively, while Black beneficiaries with MCID reported 57% greater pandemic-era telemedicine use. Our findings suggest that pandemic-era telemedicine utilization was especially common among racial and ethnic minority groups and those with MCID.

Indexed as

agingCOVID-19digital dividemild cognitive impairment or dementiatelemedicine

Identifiers

PMID39882151
PMCPMC11776015

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.