Evidence map›Paper›PMID 33395627›Full record

ArticleJournal of the National Comprehensive Cancer Network : JNCCN2021

Impact of Telemedicine on Patient Satisfaction and Perceptions of Care Quality in Radiation Oncology.

Narek Shaverdian, Erin F Gillespie, Elaine Cha, Soo Young Kim, Stephanie Benvengo, Fumiko Chino, Jung Julie Kang, Yuelin Li, Thomas M Atkinson, Nancy Lee and 3 more

Abstract read
In one paragraph

Article in Journal of the National Comprehensive Cancer Network : JNCCN, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

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

  1. Pooled it
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  18. Quality of life in the digital age: young adult hematopoietic stem cell transplantation patients and healthcare providers' views of telehealth.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  19. Article
  20. Racial/Ethnic Disparities in Telemedicine Utilization and Satisfaction Among Breast Cancer Patients During the COVID-19 Pandemic: A Mixed-Methods Analysis.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

13 authors.

Narek Shaverdian1Department of Radiation Oncology.
Erin F Gillespie1Department of Radiation Oncology.
Elaine Cha1Department of Radiation Oncology.
Soo Young Kim2Department of Psychiatry and Behavior Sciences, and.
Stephanie Benvengo1Department of Radiation Oncology.
Fumiko Chino1Department of Radiation Oncology.
Jung Julie Kang1Department of Radiation Oncology.
Yuelin Li2Department of Psychiatry and Behavior Sciences, and.
Thomas M Atkinson2Department of Psychiatry and Behavior Sciences, and.
Nancy Lee1Department of Radiation Oncology.
Charles M Washington1Department of Radiation Oncology.
Oren Cahlon1Department of Radiation Oncology.
Daniel R Gomez1Department of Radiation Oncology.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has transformed cancer care with the rapid expansion of telemedicine, but given the limited use of telemedicine in oncology, concerns have been raised about the quality of care being delivered. We assessed the patient experience with telemedicine in routine radiation oncology practice to determine satisfaction, quality of care, and opportunities for optimization. PATIENTS AND

methodsPatients seen within a multistate comprehensive cancer center for prepandemic office visits and intrapandemic telemedicine visits in December 2019 through June 2020 who completed patient experience questionnaires were evaluated. Patient satisfaction between office and telemedicine consultations were compared, patient visit-type preferences were assessed, and factors associated with an office visit preference were determined.

resultsIn total, 1,077 patients were assessed (office visit, n=726; telemedicine, n=351). The telemedicine-consult survey response rate was 40%. No significant differences were seen in satisfaction scores between office and telemedicine consultations, including the appointment experience versus expectation, quality of physician's explanation, and level of physician concern and friendliness. Among telemedicine survey respondents, 45% and 34% preferred telemedicine and office visits, respectively, and 21% had no preference for their visit type. Most respondents found their confidence in their physician (90%), understanding of the treatment plan (88%), and confidence in their treatment (87%) to be better or no different than with an office visit. Patients with better performance status and who were married/partnered were more likely to prefer in-person office visit consultations (odds ratio [OR], 1.04 [95% CI, 1.00-1.08]; P=.047, and 2.41 [95% CI, 1.14-5.47]; P=.009, respectively). Patients with telephone-only encounters were more likely to report better treatment plan understanding with an office visit (OR, 2.25; 95% CI, 1.00-4.77; P=.04).

conclusionsThis study is the first to assess telemedicine in routine radiation oncology practice, and found high patient satisfaction and confidence in their care. Optimization of telemedicine in oncology should be a priority, specifically access to audiovisual capabilities that can improve patient-oncologist communication.

Indexed as

COVID-19Radiation OncologyTelemedicineHumansPandemicsPatient SatisfactionPerceptionSARS-CoV-2

Identifiers

PMID33395627
PMCPMC8254817

What OpenQuestion holds

Textmetadata
LicenceTDM
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.