Telemedicine in Cancer Pain Management: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

远程医疗 医学 随机对照试验 癌症疼痛 系统回顾 梅德林 物理疗法 人口 生活质量(医疗保健) 医疗保健 疼痛管理 癌症 护理部 外科 内科学 经济 法学 环境卫生 经济增长 政治学
作者
Pasquale Buonanno,Annachiara Marra,Carmine Iacovazzo,Massimo Franco,Stefania De Simone
出处
期刊:Pain Medicine [Oxford University Press]
卷期号:24 (3): 226-233 被引量:15
标识
DOI:10.1093/pm/pnac128
摘要

Abstract Objective Telemedicine 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. Methods We 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. Results Pain 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. Conclusions Telemedicine 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.
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