Evidence map›Paper›PMID 34179440›Full record

ArticleJournal of patient experience2021

Rheumatology Patient Satisfaction With Telemedicine During the COVID-19 Pandemic in the United States.

Mahta Mortezavi, Sravani Lokineni, Megha Garg, Ya Li Chen, Allison Ramsey

Abstract read
In one paragraph

Article in Journal of patient experience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
–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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Patient Satisfaction with Telemedicine during the COVID-19 Pandemic-A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  3. Pooled it
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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

5 authors.

Mahta MortezaviDepartment of Allergy, Immunology and Rheumatology, Rochester Regional Health, Rochester, NY, USA.ORCID https://orcid.org/0000-0003-4666-071X
Sravani LokineniDepartment of Allergy, Immunology and Rheumatology, Rochester Regional Health, Rochester, NY, USA.
Megha GargDepartment of Allergy, Immunology and Rheumatology, Rochester Regional Health, Rochester, NY, USA.
Ya Li ChenDepartment of Allergy, Immunology and Rheumatology, Rochester Regional Health, Rochester, NY, USA.
Allison RamseyDepartment of Allergy, Immunology and Rheumatology, Rochester Regional Health, Rochester, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spread of COVID-19 in the United States has led to the use of virtual visits in lieu of in-person care for the high-risk population of patients in rheumatology. We asked patients to score their satisfaction with these visits and if they would have preferred in-person care instead. Of 679 patients seen in May 2020, 512 (75.4%) were virtual (267 [52.1%] by telephone and 245 [47.9%] by video), and 359 (70%) responded to the survey. The majority of patients (74%) were satisfied with their virtual visit, but they were more likely to be satisfied if their visit was over video rather than phone. They preferred an in-person visit if they were meeting a doctor for the first time, and patients who required a language interpreter were significantly less satisfied with virtual care. There was no correlation of age, sex, diagnosis, or testing ordered with satisfaction. The main concern against virtual care was the inability to have a physical exam, while the main reasons in favor of it were avoidance of potential infection and convenience.

Indexed as

access to careCOVID-19patient satisfactionrheumatologytelemedicine

Identifiers

PMID34179440
PMCPMC8205414

What OpenQuestion holds

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Registered trials

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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.