Evidence map›Paper›PMID 38920731›Full record

ArticleCurrent oncology (Toronto, Ont.)2024

Oncologists' Satisfaction with Virtual Care: A Questionnaire.

Amaris Karin Balitsky, Nathan Cantor, Karen Zhang, Greg Pond, Mark Norman Levine

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2024. 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
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.

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

5 authors.

Amaris Karin BalitskyHamilton Health Sciences, Juravinski Cancer Center, Hamilton, ON L8V 5C2, Canada.ORCID 0000-0002-2831-9107
Nathan CantorMichael G. DeGroote School of Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada.
Karen ZhangHamilton Health Sciences, Juravinski Cancer Center, Hamilton, ON L8V 5C2, Canada.
Greg PondEscarpment Cancer Research Institute, Hamilton, ON L8V 5C2, Canada.
Mark Norman LevineHamilton Health Sciences, Juravinski Cancer Center, Hamilton, ON L8V 5C2, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlthough virtual care (VC) has become an integral part of oncology care and healthcare delivery, clinicians' perspectives on and satisfaction with this modality are not well understood.

methodsUsing a National Network Forum framework and expert panel review, we developed a questionnaire to measure oncologists' satisfaction with VC. The questionnaire was distributed to Canadian oncologists through medical society email lists (n = 1541). We used a 5-point Likert scale to capture their responses, which included strongly disagree (1), disagree (2), undecided (3), agree (4), and strongly agree (5).

resultsA total of 61 oncologists and/or oncology trainees, of 768 (7.9%) who opened their email, completed questionnaires between October 2022 and January 2023. Every questionnaire item had a response rate greater than 98%. Seventy-two percent of the respondents were satisfied with VC. Oncologists who were less comfortable with technology were more likely to report lower levels of satisfaction (

conclusionsMost of the oncologists surveyed are satisfied with VC; however, there are some concerns with VC that need to be addressed. Future research on optimizing VC should address clinicians' concerns, in addition to addressing the patient experience.

Indexed as

OncologistsAttitude of Health PersonnelCanadaFemaleHumansMaleMedical OncologyMiddle AgedPersonal SatisfactionSurveys and QuestionnairesTelemedicineclinicianoncologyvirtual care

Identifiers

PMID38920731
PMCPMC11202864

What OpenQuestion holds

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LicenceCC BY
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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.