ReviewJournal of the advanced practitioner in oncology2021
Telehealth Interventions for Supportive Management and Early Recognition of Treatment-Related Symptoms in Patients With Hematologic Malignancies.
Review in Journal of the advanced practitioner in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 4 citations in OpenAlex.
- Telehealth education for patients with cancer: a standalone solution for symptom relief?Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Phone contacts and treatment discontinuation predict survival cancer patients in a subsidized drug access program.Journal of comparative effectiveness research · 2023Article
- Digital health and telehealth in cancer care: a scoping review of reviews.The Lancet. Digital health · 2023Article
- Implementing an Online Instrument to Measure Nurse Practitioner Workload: A Feasibility Study.Journal of primary care & community healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: The purposes of this literature review were to (1) establish the utility of supportive telehealth interventions focusing on early identification of treatment-related symptoms in adult patients with hematologic malignancies, with a secondary aim to (2) evaluate acceptability and feasibility. Methods: A literature review was conducted using PubMed, Cochrane Database of Systematic Reviews, CINAHL, Scopus, and Embase. Dates searched were from January 2007 through December 2019. Inclusion criteria included a diagnosis of hematologic malignancy, incorporation of telehealth interventions, effects on physiological outcomes, and participants ages 18 or older. Articles were excluded if they were a duplicate, had an irrelevant title, or were an incomplete study. Results: Results indicated overall utility, acceptability, and feasibility of the interventions, including improved awareness of late and long-term therapy-related sequelae in survivorship, an overall decline in the number of chemotherapy delays with decreased rates in dose reductions, a means to further manage exercise remotely, and finally, improved communication between provider and patient with real-time management of acute and chronic treatment-related side effects using supportive telemetric interventions. Conclusion: Overall, the use of telehealth interventions in adult patients with hematologic malignancies positively impacts patient health, and telehealth interventions were found to be both accepted and feasible. Future studies should be directed at the role and involvement of the advanced practitioner, and current literature calls for well-planned studies as methodologic limitations remain in the evidence.
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.