Analysis of a telephone hotline for palliative care patients at home and their families

Author:

Martins Maria de Lurdes da Costa1,Pinto Sara2

Affiliation:

1. Researcher, Clinical Academic Center of Trás-os-Montes and Alto Douro-Professor Doutor Nuno Grande; Specialist's Nurse, Palliative Care, Hospital of Trás-os-montes e Alto Douro, Portugal

2. Nursing School of Porto, Portugal; Faculty of Medicine, University of Coimbra

Abstract

Background: To describe the use of a telephone consultation (TC) hotline for palliative care (PC) patients and their families at home provided by a PC service, during the COVID-19 lockdown. Methods: Observational and cross-sectional study of a TC hotline performed by a PC service from 1 January to 31 December 2020. Data was collected through a record sheet completed during the call. Descriptive analyses were performed using the SPSS software (V.21 for Windows). Results: A total of 494 calls were retrieved (n=187 patients; 6500 minutes recorded). Compared to 2019, incoming calls increased 33.8%. Most callers were a family member (n=419) or a community health worker (n= 60). The peak of calls was registered in April (13.5%), May (13.2%) and October (15.0%). Main problems included uncontrolled symptoms (81.9%), need for medication (8.6%), information (4.8%) and consultation rescheduling (2.6%). In 81.9% of the cases, the call occurred during a crisis. The PC team solved 92.9% of the problems. Only 20 patients were admitted in the emergency department (this was 30.5% less compared to 2019). Conclusions: The TC is a feasible alternative to traditional in-person follow-ups. Callers considered it very useful, especially during the COVID-19 lockdown. Communication was improved and admissions to emergency services were reduced.

Publisher

Mark Allen Group

Subject

Advanced and Specialized Nursing

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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