ArticleBMC health services research2025
Barriers and facilitators of using tele-oncology in cancer care: a scoping review.
Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- AI-Enhanced Predictive Analytics to Optimize Tele-Oncology Implementation in Rural Settings: Scoping Review.JMIR cancer · 2026Article
- Telehealth in Cancer Care: A Qualitative Study of Nurses' and Healthcare Professionals' Perspectives in Indonesia.Journal of multidisciplinary healthcare · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimIdentifying barriers and facilitators of tele-oncology adoption is essential in enhancing healthcare stakeholders' decision-making on its leverage. This study aims to review the existing literature on barriers and facilitators to understand this topic better. MATERIALS AND
methodsThis scoping review was conducted based on the PRISMA extension for scoping reviews (PRISMA-ScR). The Web of Sciences, PubMed, and Scopus scientific databases were investigated to obtain articles. The data on barriers and facilitators were extracted from the included articles and finalized through the joint meeting. The aggregated barriers and facilitators were synthesized and categorized into themes using qualitative content analysis. This method categorized thematically similar barriers and facilitators into similar themes. We also used the descriptive statistics method of data (frequency and percentage), depicted data in table and figure formats, and synthesized the data narratively to show the findings on the included studies' characteristics.
resultsTwelve articles from 685 records retrieved from the databases were employed in this study on this topic. Forty-eight barriers and 92 facilitators of tele-oncology use were obtained, including personal, technical, data management, managerial, and legal factors. The most critical barriers and facilitators were regarding the lack of technical requirements and usability characteristics of technologies in cancer care, respectively.
conclusionConsidering the barriers and facilitators of using tele-oncology in cancer care through analyzing the existing studies can have a key role in optimizing the decision-making of various healthcare stakeholders, including policymakers, managers, and others involved in enhancing the patient care process. It can also be crucial in increasing the chances of technology acceptance in healthcare.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.