Evidence map›Paper›PMID 38410742›Full record

ReviewJAMIA open2024

Will the United States pass on telemedicine progress?

Mollie R Cummins, Julia Ivanova, Triton Ong, Hiral Soni, Janelle F Barrera, Hattie Wilczewski, Brandon M Welch, Brian E Bunnell

Abstract readReview
In one paragraph

Review in JAMIA open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

8 authors.

Mollie R CumminsCollege of Nursing, University of Utah, Salt Lake City, UT 84112-5880, United States.ORCID https://orcid.org/0000-0001-7078-8479
Julia IvanovaDoxy.me Research, Doxy.me Inc, Rochester, NY 14623, United States.
Triton OngDoxy.me Research, Doxy.me Inc, Rochester, NY 14623, United States.
Hiral SoniDoxy.me Research, Doxy.me Inc, Rochester, NY 14623, United States.
Janelle F BarreraDoxy.me Research, Doxy.me Inc, Rochester, NY 14623, United States.
Hattie WilczewskiDoxy.me Research, Doxy.me Inc, Rochester, NY 14623, United States.
Brandon M WelchDoxy.me Research, Doxy.me Inc, Rochester, NY 14623, United States.
Brian E BunnellDoxy.me Research, Doxy.me Inc, Rochester, NY 14623, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: During the COVID-19 pandemic, federal and state health policies allowed temporary flexibilities for Medicare and Medicaid beneficiaries, leading to a sharp increase in telemedicine use. However, many of the flexibilities that enabled innovation and growth in telemedicine continue temporarily since the federal emergency declaration ended in May 2023, and the United States has not made permanent decisions about telemedicine policy. Analysts have raised concerns about increased spending, program integrity, safety, and equity, and recommend strengthening oversight. Methods: Here, we argue that we must continue the flexibilities to better understand telemedicine's quality, safety, and outcomes, and until the United States can develop an evidence-based digital health strategy. A premature regression to pre-pandemic telemedicine policies risks unintended consequences. Conclusion: We must continue the current policy flexibilities, safeguard against fraud and abuse, and immediately prioritize research and evaluation of telemedicine's quality, safety, and outcomes, to avoid unintended consequences and support more permanent policy decision-making.

Indexed as

COVID-19policytelehealthtelemedicine

Identifiers

PMID38410742
PMCPMC10896640

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.