Evidence map›Paper›PMID 37128386›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2022

Experiences of care delays and telehealth use during the COVID-19 pandemic among socioeconomically diverse cardiovascular patients and clinicians in an urban hospital.

Meghan Reading Turchioe, Jessica S Ancker, Alexander Volodarskiy, Joshua Vapnik, Sushant Sunkaraneni, David Slotwiner

Open access · greenAbstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 71% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Meghan Reading TurchioeDiv.of Health Informatics, Dept. of Population Health Sciences, Weill Cornell Medicine; New York, NY.
Jessica S AnckerDept. of Biomedical Informatics, Vanderbilt University Medical Center; Nashville, TN.
Alexander VolodarskiyNewYork Presbyterian Hospital-Queens; New York, NY.
Joshua VapnikNewYork Presbyterian Hospital-Queens; New York, NY.
Sushant SunkaraneniNewYork Presbyterian Hospital-Queens; New York, NY.
David SlotwinerDiv.of Health Informatics, Dept. of Population Health Sciences, Weill Cornell Medicine; New York, NY.
New York Hospital Queens · USCornell University · USVanderbilt University Medical Center · US

Funding

Data-driven shared decision-making to reduce symptom burden in atrial fibrillationR00NR019124 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI TURCHIOE, MEGHAN READING · 2022 to 2024
$732k
Data-driven shared decision-making to reduce symptom burden in atrial fibrillationK99NR019124 · NINR · WEILL MEDICAL COLL OF CORNELL UNIV · PI TURCHIOE, MEGHAN READING · 2020 to 2021
$175k
NINR NIH HHS K99 NR019124NINR NIH HHS R00 NR019124
6 · The paper itself

Abstract

An understanding of care delays and telehealth experiences during the pandemic among vulnerable patients, such as those with cardiac disease, is needed to inform future telehealth policy. We conducted a cross-sectional survey study with socioeconomically diverse cardiac patients (n=28) and clinicians (n=26). Most patients (89%) preferred to receive some or all of their care in-person during the pandemic and endorsed the lack of in-person visits as the top facilitator to telehealth use. Significantly more clinicians perceived high ease of use of video visits compared to patients (82% vs. 44%). Significantly more patients perceived high ease of learning to use (69% vs. 18%) and using (69% vs. 27%) remote monitoring compared to clinicians. Results suggest that patients are more open to receiving in-person care during the pandemic than clinicians recognize and may need greater support surrounding video visits when in-person care is not feasible or safe.

Indexed as

COVID-19TelemedicineCross-Sectional StudiesHospitals, UrbanHumansPandemics

Identifiers

PMID37128386
PMCPMC10148370
OpenAlexW4367668920

What OpenQuestion holds

Textmetadata
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.