Evidence map›Paper›PMID 35896926›Full record

ArticleAnnals of surgical oncology2022

Telehealth Utilization Among Surgical Oncology Patients at a Large Academic Cancer Center.

Alessandro Paro, Daniel R Rice, J Madison Hyer, Elizabeth Palmer, Aslam Ejaz, Chanza Fahim Shaikh, Timothy M Pawlik

Open access · bronzeAbstract read
In one paragraph

Article in Annals of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Alessandro ParoDepartment of Surgery, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA.
Daniel R RiceDepartment of Surgery, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA.
J Madison HyerDepartment of Surgery, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA.
Elizabeth PalmerDepartment of Surgery, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA.
Aslam EjazDepartment of Surgery, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA.
Chanza Fahim ShaikhDepartment of Surgery, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA.
Timothy M PawlikDepartment of Surgery, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH, USA. tim.pawlik@osumc.edu.ORCID http://orcid.org/0000-0002-7994-9870
The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) pandemic increased the use of telehealth within medicine. Data on sociodemographic and clinical characteristics associated with telehealth utilization among cancer surgical patients have not been well-defined.

methodsCancer patients who had a surgical oncology visit at the James Cancer Hospital in March 2020-May 2021 were included. Patient demographic and clinical characteristics were recorded; access to modern information technology was measured using the Digital Divide Index (DDI). A logistic regression model was used to assess odds of receiving a telehealth.

resultsAmong 2942 patients, median DDI was 18.2 (interquartile range 17.4-22.1). Patients were most often insured through managed care (n = 1459, 49.6%), followed by Medicare (n = 1109, 37.7%) and Medicaid (n = 267, 9.1%). Overall, 722 patients (24.5%) received at least one telehealth visit over the study period. On multivariable analysis, age (odds ratio [OR] 0.89, 95% confidence interval [CI] 0.80-0.98 per 10-year increase), sex (male vs. female: OR 1.83, 95% CI 1.45-2.32), cancer type (pancreatic vs. breast: OR 9.19, 95% CI 6.38-13.23; colorectal vs. breast: OR 5.31, 95% CI 3.71-7.58), insurance type (Medicare vs. Medicaid: OR 1.58, 95% CI 1.04-2.41) and county of residence (distant vs. neighboring: OR 1.33, 95% CI 1.06-1.66) were associated with increased odds of receiving a telehealth visit. Patients from high DDI counties were not less likely to receive telehealth visits versus patients from low DDI counties (OR 1.15, 95% CI 0.85-1.57).

conclusionsSeveral patient sociodemographic and clinical characteristics had an impact on the likelihood of receiving a telehealth visit versus an in-person visit, suggesting that telehealth may not be equally accessible to all surgical oncology patients.

Indexed as

COVID-19NeoplasmsSurgical OncologyTelemedicineAgedFemaleHumansMaleMedicareUnited States

Identifiers

PMID35896926
PMCPMC9331038
OpenAlexW4288052657

What OpenQuestion holds

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Registered trials

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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.