Palliative Care Referral Protocol: Best Practice Toolkit for Improving Early Referral Rate for Adult Cancer Patients

Author:

,Nguyen Linda

Abstract

Despite the benefits of palliative care being well-documented in studies and early palliative care services being strongly recommended by reputable organizations, such as the American Society of Clinical Oncology, many patients did not receive or received late referrals (Pigni et al., 2022). This mainly occurs because oncologists commonly base their referrals on perceived needs and clinical judgment (Smith et al., 2017). Thus, this program development project aimed to create a toolkit to improve early identification and referral to palliative care for adult patients who would benefit from palliative care services. The PICO question that guides this program is: In ambulatory adult oncology patients in the Veteran Affairs healthcare system (P), how does a toolkit for implementation of a palliative care referral protocol (I) compared to standard referral methodology (provider judgment) (C) improve the utilization of standardized trigger-based referral to palliative care (O). Literature supports the development of an ambulatory-focused toolkit for the adult oncology population and supports early intervention to maximize living benefits, including quality of life measures. The evidence supports using a toolkit to guide the associated implementation of a dedicated referral process, including a criteria-based trigger tool. This scholarly project provides a step-by-step toolkit to guide the implementation of an early palliative care referral protocol in an ambulatory oncology setting.

Publisher

University of St. Augustine for Health Sciences Library

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