• Pain Med · Mar 2023

    Meta Analysis

    Telemedicine in cancer pain management: a systematic review and meta-analysis of randomized controlled trials.

    • Pasquale Buonanno, Annachiara Marra, Carmine Iacovazzo, Massimo Franco, and Stefania De Simone.
    • Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples "Federico II", Naples, Italy.
    • Pain Med. 2023 Mar 1; 24 (3): 226233226-233.

    ObjectiveTelemedicine is defined as the delivery of medical services through a variety of telecommunication tools. This novel approach can fit the needs of cancer patients who cannot often reach clinics due to their disabling symptoms. In this population of patients, pain is undoubtedly the most important symptom which dramatically affects the quality of life. Our work aimed to investigate the effectiveness of telemedicine in the management of cancer pain in order to assess the feasibility of a combination between telemedicine and traditional in-person visits; we also propose a model of integration of these two approaches.MethodsWe followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework to conduct our study. Quality assessment and risk of bias were performed according Cochrane criteria. Results were reported as mean differences and summarized using forest plots. We performed a trial sequential analysis (TSA) to assess the conclusiveness of our results.ResultsPain severity score and pain interference were lower for patients treated with telemedicine compared to those undergoing classical management (mean difference: -0.408; P =< .001 and -0.492; P = .004, respectively). TSA confirmed that our results were statistically significant and pointed out the need of other studies to reach the required sample size. PROSPERO registration: CRD42022333260.ConclusionsTelemedicine can be effectively used to manage cancer pain. This novel approach will certainly have a revolutionary economic and organizational impact on health care systems in the next future. Furthermore, the model herein proposed could help set up an algorithm to safely and efficiently implement telemedicine.© The Author(s) 2022. Published by Oxford University Press on behalf of the American Academy of Pain Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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