Nurses’ Support of Treatment Decision-Making for Patients with Cancer During the COVID-19 Pandemic in Japan

Author:

Yoshida Shiori1,Sasaki Konosuke1,Sato Fumiko2

Affiliation:

1. Tohoku University Graduate School of Medicine

2. Fukushima Medical University

Abstract

Abstract

Background During the COVID-19 pandemic, cancer patients became reluctant to come to the hospital, receive cancer treatment, and were willing to interrupt or postpone treatment due to concerns about infection. The purpose of this study was to discuss effective treatment strategy decision making support for cancer patients by nurses recognized during the COVID-19 pandemic. Methods The study population comprised nurse of decision-making support at cancer care during COVID-19 from May to July 2021 at 49 the cancer care center hospitals were established in each prefecture, who had engaged 50% of their nursing care provided to patients with cancer. Data were collected on treatment strategy decision-making support using an online cross-sectional survey. Factors that influenced patients’ decision-making were identified using multivariable logistic regression analysis. Results A total of 182 (25.0%) were nurses engaged in decision making were enrolled in this study. Factors that influenced patients’ decision to receive treatment to their satisfaction were their resignation or compromise in accepting the decision due to the pandemic (odds ratio [OR] 0.44 (95% CI [0.22, 0.87]), videoconference follow-up (OR 0.17, 95% Cl [0.04, 0.66]), and infection prevention information provision (OR 3.82, 95% Cl [1.54,9.46]). Factors influencing patients’ decision to give up and accept the doctor’s recommendation even though they were not convinced included fear of disease progression (OR 2.51, 95% Cl [1.21, 5.22]), anger at not receiving the treatment they desired (OR 2.48, 95% Cl [1.17, 5.27]), and compromise with the pandemic situation (OR 3.15, 95% Cl [1.53, 6.50]). The factor that influenced patients’ continued treatment even though they were not convinced included the nurse listened to the patients’ thoughts (OR 0.07, 95% Cl [0.01, 0.51]). Conclusion Treatment decision support of patients with cancer during COVID-19 included lifestyle guidance to prevent the spread of infection and listening to their concerns to help them find meaning in their choices.

Publisher

Springer Science and Business Media LLC

Reference36 articles.

1. World Health Organization. WHO Director-General’s opening remarks at the media briefing on COVID-19. 2020 March 11 [Cited 16 May 2024] https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020.

2. World Health Organization. Weekly epidemiological update on COVID-19-1 September 2023. 2023 September 1 [Cited 16 May 2024] https://www.who.int/publications/m/item/weekly-epidemiological-update-on-covid-19---1-september-2023.

3. Cancer patients in SARS-CoV-2 infection: A nation-wide analysis in China;Liang W;Lancet Oncol,2020

4. Wu Z, McGoogan JM. (2020). Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: Summary of a report of 72,314 cases from the Chinese Center for Disease Control and Prevention. JAMA.2020; 323(13): 1239–1242. https://doi.org/10.1001/jama.2020.2648.

5. Japanese Society for Clinical Oncology, Japanese Cancer Association. & Japanese Society of Cancer Nursing.Cancer care and novel coronavirus infection: Q&A for healthcare professionals. Revised 3rd edition. 2021 February 2 [Cited 15 May 2024] https://www.jsco.or.jp/covid19_med_qa/.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3