Evidence map›Paper›PMID 35500186›Full record

ArticleHealth affairs (Project Hope)2022

Medicare Beneficiaries In Disadvantaged Neighborhoods Increased Telemedicine Use During The COVID-19 Pandemic.

Sanuja Bose, Chen Dun, George Q Zhang, Christi Walsh, Martin A Makary, Caitlin W Hicks

Abstract read
In one paragraph

Article in Health affairs (Project Hope), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Trial
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  5. Article
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  7. Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. On telemedicine and healthcare spending.International journal of circumpolar health · 2025
    Article
  13. Article
  14. Race-Specific Impact of Telehealth Advance Care Planning on Cost of Dementia: A Cost Prediction Study.International journal of environmental research and public health · 2025
    Article
  15. Article
  16. Factors impacting electronic patient-generated data use in safety-net systems: a qualitative study.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  17. Observational
  18. Article
  19. Article
  20. Observational
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.

Sanuja BoseSanuja Bose (sbose14@jhmi.edu), Johns Hopkins University, Baltimore, Maryland.
Chen DunChen Dun, Johns Hopkins University.
George Q ZhangGeorge Q. Zhang, Brigham and Women's Hospital, Boston, Massachusetts.
Christi WalshChristi Walsh, Johns Hopkins University.
Martin A MakaryMartin A. Makary, Johns Hopkins University.
Caitlin W HicksCaitlin W. Hicks, Johns Hopkins University.

Funding

Risk Factors and Outcomes Associated with Late-Life Diabetic Peripheral NeuropathyK23DK124515 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI HICKS, CAITLIN WHITNEY · 2020 to 2024
$898k
NIDDK NIH HHS K23 DK124515
6 · The paper itself

Abstract

Anticipating a growing need for health care during the COVID-19 pandemic, the Centers for Medicare and Medicaid Services expanded telemedicine coverage in the United States on March 6, 2020. In this study we used roughly thirty million Medicare fee-for-service claims to quantify outpatient telemedicine use before and after the Medicare telemedicine coverage waiver and to examine the association of telemedicine use with the Area Deprivation Index, a comprehensive measure of neighborhood socioeconomic disadvantage. Before the waiver, 0.42 percent of patients had at least one outpatient telemedicine visit, with no significant differences between people residing in the most versus the least disadvantaged neighborhoods. With the waiver, 9.97 percent of patients had at least one outpatient telemedicine visit, with the highest odds of utilization seen for people residing in the most disadvantaged neighborhoods. After adjustment, our data suggest that the coverage waiver increased access to telemedicine for all Medicare populations, including people residing in the most disadvantaged neighborhoods, although the odds of use were persistently lower with increasing age. Overall, these findings are encouraging, but they illuminate a need for targeted interventions to improve telemedicine access further.

Indexed as

COVID-19TelemedicineAgedHumansMedicarePandemicsUnited StatesVulnerable Populations

Identifiers

PMID35500186
PMCPMC9843604

What OpenQuestion holds

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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.