Evidence map›Paper›PMID 36204596›Full record

ArticleJAMIA open2022

Telehealth care before and during COVID-19: trends and quality in a large health system.

Paulina Luna, Megan Lee, Rebeca Vergara Greeno, Nikki DeLucia, Yollanda London, Pamela Hoffman, Matthew Burg, Kristie Harris, Erica S Spatz, Carlos Mena-Hurtado and 1 more

Abstract read
In one paragraph

Article in JAMIA open, 2022. 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. Review
  2. Article
  3. Article
  4. Article
  5. Satisfaction with Telehealth Care in the United States: Cross-Sectional Survey.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
    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

11 authors.

Paulina LunaYale University School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0001-8638-5092
Megan LeeYale University School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0003-3734-6606
Rebeca Vergara GreenoYale University School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0001-6873-3620
Nikki DeLuciaYale University, New Haven, Connecticut, USA.
Yollanda LondonYale University, New Haven, Connecticut, USA.
Pamela HoffmanDepartment of Child Psychiatry, Yale University, New Haven, Connecticut, USA.
Matthew BurgDepartment of Internal Medicine-Cardiology, Yale University, New Haven, Connecticut, USA.
Kristie HarrisDepartment of Internal Medicine-Cardiology, Yale University, New Haven, Connecticut, USA.
Erica S SpatzDepartment of Internal Medicine-Cardiology, Yale University, New Haven, Connecticut, USA.
Carlos Mena-HurtadoDepartment of Internal Medicine-Cardiology, Yale University, New Haven, Connecticut, USA.
Kim G SmolderenDepartment of Internal Medicine-Cardiology, Yale University, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0001-6104-6254

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Objective: COVID-19 accelerated telehealth use to ensure care delivery, but there is limited data on the patient perspective. This study aimed to examine telehealth visit uptake before and during COVID-19 and correlates of patient satisfaction and interest in future telehealth visits. Materials and Methods: This was a cross-sectional observational study between October 2019 and April 2020. Participants included patients who completed satisfaction surveys following telehealth visits. Results: A total of 8930 patients completed the satisfaction survey using 4-point Likert Scales. Multivariable, hierarchical, cumulative logit models were constructed to examine correlates of satisfaction with quality of care and interest in future telehealth visits. Most patients were satisfied with the patient portal, video quality, and instructions (92.7%-96.8%). Almost half reported saving 1-2 h (46.9%). Correlates positively associated with quality of care and interest in future telehealth visits were ease of patient portal (odds ratio [OR], 1.43, 95% confidence interval [CI], 1.30-1.58; OR, 1.56, 95% CI, 1.41-1.73, respectively), video quality (OR, 1.62, 95% CI, 1.50-1.75; OR, 1.26, 95% CI, 1.16-1.37, respectively), instructions (OR, 5.62, 95% CI, 5.05-6.26; OR, 1.80, 95% CI, 1.62-2.01, respectively), and time saved (>4 h: OR, 1.69, 95%,CI, 1.22-2.34; OR, 3.49, 95% CI, 2.47-4.93, respectively). Being seen after the COVID-19 surge in telehealth (OR, 0.76, 95% CI, 0.63-0.93) or by providers with higher visit volume (OR, 0.71, 95% CI, 0.60-0.85) was associated with lower interest in future telehealth visits. Conclusions: Patients expressed relatively high satisfaction levels with telehealth. Better technical quality, quality of instructions, and greater time saved were associated with higher satisfaction ratings. To maintain interest in future telehealth use and improve the patient experience, we must enhance the quality of telehealth delivery platforms and instructions provided to patients.

Indexed as

COVID-19patient satisfactionremote patient monitoringtelehealth

Identifiers

PMID36204596
PMCPMC9531686

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.