Evidence map›Paper›PMID 39024570›Full record

ArticleJMIR cancer2024

Assessing the Relationship Between Neighborhood Socioeconomic Disadvantage and Telemedicine Use Among Patients With Breast Cancer and Examining Differential Provisions of Oncology Services Between Telehealth and In-Person Visits: Quantitative Study.

Jincong Q Freeman, Fangyuan Zhao, Frederick M Howard, Rita Nanda, Olufunmilayo I Olopade, Dezheng Huo

Abstract read
In one paragraph

Article in JMIR cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

6 authors.

Jincong Q FreemanDepartment of Public Health Sciences, University of Chicago, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-1119-2146
Fangyuan ZhaoDepartment of Public Health Sciences, University of Chicago, Chicago, IL, United States.ORCID https://orcid.org/0000-0001-9776-3677
Frederick M HowardSection of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-6039-1141
Rita NandaSection of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL, United States.ORCID https://orcid.org/0000-0001-5248-0876
Olufunmilayo I OlopadeSection of Hematology/Oncology, Department of Medicine, University of Chicago, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-9936-1599
Dezheng HuoDepartment of Public Health Sciences, University of Chicago, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-4041-1678

Funding

SPECIALIZED TRAINING PROGRAM IN THE DEMOGRAPHY &ECON.T32AG000243 · NIA · UNIVERSITY OF CHICAGO · PI DAVID O MELTZER · 1994 to 2026
$8.2M
UChicago Interdisciplinary Cancer Health Disparities SPOREP20CA233307 · NCI · UNIVERSITY OF CHICAGO · PI HUO, DEZHENG · 2018 to 2020
$3.4M
Coordinating Center for the NIA Centers on the Demography and Economics of Aging and Alzheimer's Disease and Alzheimer's Related DementiasR24AG066588 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SONNEGA, AMANDA JANE · 2020 to 2024
$1.5M
Integrating Clinical, Pathologic, and Immune Features to Predict Breast Cancer Recurrence and Chemotherapy BenefitK08CA283261 · NCI · UNIVERSITY OF CHICAGO · PI Frederick Matthew Howard · 2023 to 2026
$806k
NCI NIH HHS K08 CA283261NCI NIH HHS P20 CA233307NIA NIH HHS R24 AG066588NIA NIH HHS T32 AG000243
6 · The paper itself

Abstract

backgroundSince the COVID-19 pandemic began, we have seen rapid growth in telemedicine use. However, telehealth care and services are not equally distributed, and not all patients with breast cancer have equal access across US regions. There are notable gaps in existing literature regarding the influence of neighborhood-level socioeconomic status on telemedicine use in patients with breast cancer and oncology services offered through telehealth versus in-person visits.

objectiveWe assessed the relationship between neighborhood socioeconomic disadvantage and telemedicine use among patients with breast cancer and examined differential provisions of oncology services between telehealth and in-person visits.

methodsNeighborhood socioeconomic disadvantage was measured using the Area Deprivation Index (ADI), with higher scores indicating greater disadvantages. Telemedicine and in-person visits were defined as having had a telehealth and in-person visit with a provider, respectively, in the past 12 months. Multivariable logistic regression was performed to examine the association between ADI and telemedicine use. The McNemar test was used to assess match-paired data on types of oncology services comparing telehealth and in-person visits.

resultsThe mean age of the patients with breast cancer (n=1163) was 61.8 (SD 12.0) years; 4.58% (52/1161) identified as Asian, 19.72% (229/1161) as Black, 3.01% (35/1161) as Hispanic, and 72.78% (845/1161) as White. Overall, 35.96% (416/1157) had a telemedicine visit in the past 12 months. Of these patients, 65% (266/409) had a videoconference visit only, 22.7% (93/409) had a telephone visit only, and 12.2% (50/409) had visits by both videoconference and telephone. Higher ADI scores were associated with a lower likelihood of telemedicine use (adjusted odds ratio [AOR] 0.89, 95% CI 0.82-0.97). Black (AOR 2.38, 95% CI 1.41-4.00) and Hispanic (AOR 2.65, 95% CI 1.07-6.58) patients had greater odds of telemedicine use than White patients. Compared to patients with high school or less education, those with an associate's degree (AOR 2.67, 95% CI 1.33-5.35), a bachelor's degree (AOR 2.75, 95% CI 1.38-5.48), or a graduate or professional degree (AOR 2.57, 95% CI 1.31-5.04) had higher odds of telemedicine use in the past 12 months. There were no significant differences in providing treatment consultation (45/405, 11.1% vs 55/405, 13.6%; P=.32) or cancer genetic counseling (11/405, 2.7% vs 19/405, 4.7%; P=.14) between telehealth and in-person visits. Of the telemedicine users, 95.8% (390/407) reported being somewhat to extremely satisfied, and 61.8% (254/411) were likely or very likely to continue using telemedicine.

conclusionsIn this study of a multiethnic cohort of patients with breast cancer, our findings suggest that neighborhood-level socioeconomic disparities exist in telemedicine use and that telehealth visits could be used to provide treatment consultation and cancer genetic counseling. Oncology programs should address these disparities and needs to improve care delivery and achieve telehealth equity for their patient populations.

Indexed as

Area Deprivation Indexbreast cancerdisparitiesgenetic counselingin-person visitsmobile phoneneighborhood socioeconomic disadvantageoncology servicestelehealth equitytelemedicinetreatment consultation

Identifiers

PMID39024570
PMCPMC11294759

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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.