Evidence map›Paper›PMID 42397883›Full record

ArticleJMIR cancer2026

Predictors of Telehealth Use Among Cancer Survivors: Retrospective Study.

Jasskiran Kaur, Jeffrey Zhong, Carley Mitchell, Annie Zhang, Qian Wang, Melinda L Hsu

Abstract read
In one paragraph

Article in JMIR cancer, 2026. 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

6 authors.

Jasskiran KaurUniversity Hospitals Seidman Cancer Center, 11100 Euclid Avenue, Cleveland, OH, 44106, United States, 1 216-286-6505.ORCID 0009-0008-0863-6616
Jeffrey ZhongUniversity Hospitals Seidman Cancer Center, 11100 Euclid Avenue, Cleveland, OH, 44106, United States, 1 216-286-6505.ORCID 0009-0008-1711-3155
Carley MitchellUniversity Hospitals Seidman Cancer Center, 11100 Euclid Avenue, Cleveland, OH, 44106, United States, 1 216-286-6505.ORCID 0009-0001-7105-3973
Annie ZhangUniversity Hospitals Seidman Cancer Center, 11100 Euclid Avenue, Cleveland, OH, 44106, United States, 1 216-286-6505.ORCID 0000-0002-3316-666X
Qian WangUniversity Hospitals Seidman Cancer Center, 11100 Euclid Avenue, Cleveland, OH, 44106, United States, 1 216-286-6505.ORCID 0000-0002-1201-865X
Melinda L HsuUniversity Hospitals Seidman Cancer Center, 11100 Euclid Avenue, Cleveland, OH, 44106, United States, 1 216-286-6505.ORCID 0000-0003-0200-1579

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As the number of cancer survivors continues to grow, optimizing long-term survivorship care models has become increasingly important. Telehealth has the potential to improve access to health care for survivors; however, studies evaluating telehealth in this population remain limited. Additionally, concerns persist regarding equity in technology access and digital literacy. Objective: This study aimed to examine demographic factors and patient attitudes influencing telehealth use among cancer survivors compared to the general population. Methods: Adult participants were identified from the nationally representative database Health Information National Trends Survey 6 (HINTS 6). Multivariable logistic regression was used to calculate the predictors of telehealth use among cancer survivors. χ2 tests compared the prevalence of reported reasons of not using telehealth in the last 12 months between cancer survivors and the general population. Results: A total of 5793 (weighted n=239,557,883) individuals were included in this study, 7.7% (weighted n=18,545,434) who are cancer survivors. 5092 individuals from the general population and 701 cancer survivors were included. Older age was associated with lower telehealth use (adjusted odds ratio [aOR] 0.11; 95% CI 0.02-0.59 for patients aged ≥65, compared to those under 40 y old). Higher education (aOR 2.55; 95% CI 1.24-5.27) and heart disease history (aOR 2.52; 95% CI 1.20-5.28) were associated with increased telehealth use. Employed (aOR 0.46; 95% CI 0.22-0.97) and retired (aOR=0.37; 95% CI: 0.18-0.77) cancer survivors were less likely to use telehealth than unemployed individuals. Of the nonusers, over 60% reported that telehealth options were not offered, and 80% preferred in-person visits. Technical issues and privacy concerns were not major factors in utilizing telehealth. Conclusions: Despite greater telehealth use among cancer survivors, a negative association between older age and telemedicine utilization persists. Efforts should focus on improving access for older cancer survivors and addressing employment-related factors, patient attitudes, and telehealth availability. Future studies should explore personalized approaches to enhance cancer survivors' health care experiences. Our findings emphasize the need to address specific factors including age and employment related disparities, patient preferences and telehealth availability to optimize equitable access to telehealth and enhance the delivery of cancer survivorship care.

Indexed as

Cancer SurvivorsNeoplasmsTelemedicineAdultAgedDigital HealthFemaleHumansMaleMiddle AgedRetrospective StudiesYoung Adultcancerdigital healthdisparitieshealthcare deliveryinternetsurvivorshiptelehealth

Identifiers

PMID42397883
PMCPMC13331063

What Socratic holds

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LicenceCC BY
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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 Socratic graph.