Evidence map›Paper›PMID 38694709›Full record

ArticleGynecologic oncology reports2024

Patient perspective on virtual prechemotherapy visits in gynecologic oncology.

Monica J Janke, Bryan Aaron, Hannah D McLaughlin, Yang Liu, Shitanshu Uppal

Abstract read
In one paragraph

Article in Gynecologic oncology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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.

Monica J JankeDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Michigan, 1500 E. Medical Center Dr. Ann Arbor, MI 48109, USA.
Bryan AaronUniversity of Michigan Medical School, 1301 Catherine St. Ann Arbor, MI 48109, USA.
Hannah D McLaughlinDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Michigan, 1500 E. Medical Center Dr. Ann Arbor, MI 48109, USA.
Yang LiuDepartment of Obstetrics and Gynecology, University of Michigan, 1500 E. Medical Center Dr. Ann Arbor, MI 48109, USA.
Shitanshu UppalDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Michigan, 1500 E. Medical Center Dr. Ann Arbor, MI 48109, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess gynecologic oncology patients' experiences with virtual prechemotherapy evaluation and determine preference for incorporating virtual visits into a chemotherapy schedule. Methods: From June-August 2023, a survey was distributed to patients with gynecologic malignancies who had both an in-person and virtual prechemotherapy visit at a tertiary comprehensive cancer center. Patient satisfaction and preference for incorporating virtual visits was elicited. Patients who preferred ≥ 50 % of prechemotherapy visits to be virtual were classified as "virtual-leaning" and those who preferred < 50 % virtual as "in-person-leaning." Results: Of 110 eligible patients, 93 agreed to participate and 73 completed the survey, yielding an overall 66.4% response rate and 78.5% (73/93) survey completion rate. Overall satisfaction with in-person and virtual visits were rated positively at similar rates (in-person 87.7%, virtual 87.2%). Sixty-four (88.4%) patients preferred some proportion of their visits to be virtual, 5 (7.0%) preferred no virtual care, and 4 (5.0%) had no preference. In a 6-cycle schedule of chemotherapy, the median number of preferred virtual visits was 3 (IQR 1.8-4.2). Forty-six (63.0%) patients were "virtual-leaning" and 23 (32.0%) were "in-person-leaning." When comparing groups, there was no difference in age, race, category of residence, commute, experience with technical difficulty, primary disease site, disease stage, number of prior chemotherapy cycles, or number of prior virtual visits. Conclusions: Most patients are highly satisfied with virtual visits and prefer virtual care to be included when undergoing chemotherapy. A hybrid model should be offered to gynecological cancer patients undergoing chemotherapy, with patient preference dictating the cadence of virtual visits.

Indexed as

Gynecologic cancerPatient preferencePatient satisfactionTelemedicineVirtual visits

Identifiers

PMID38694709
PMCPMC11061257

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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.