Literature DB >> 31775020

Postdoctoral Research Training in Palliative Care: Lessons Learned From a T32 Program.

Erin K Kross1, Abby R Rosenberg2, Ruth A Engelberg1, J Randall Curtis3.   

Abstract

Our aging population and advances in chronic disease management that prolong the time that patients live with a chronic illness have combined to create an enormous need for improved palliative care research across diverse diseases. In this article, we describe the structure and processes of a National Institutes of Health-funded T32 postdoctoral research fellowship at the University of Washington and our experiences in developing and implementing the program. We recognize a broad definition of palliative care research, including research focused on improving quality of life, minimizing symptoms, providing psychological and spiritual support, and improving communication about patients' values and goals of care, all in the context of a serious illness. We describe our four core principles for postdoctoral training in palliative care research, each with a number of specific approaches: 1) mastering a set of essential content and research skills; 2) structured mentoring and academic career development; 3) creating and supporting early success; and 4) interdisciplinary training and team science. In addition, we also describe our framework for the essential competencies necessary for a palliative care research training program, our methods for identification and selection of applicants, our outcomes to date, and our processes of continuous quality assessment and improvement. Our goal is to describe our successful postdoctoral research training program in palliative care to promote development of new programs and share information between programs to continue to build the field of collaborative and interdisciplinary palliative care research.
Copyright © 2019 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Palliative care; education; research training

Mesh:

Year:  2019        PMID: 31775020      PMCID: PMC7029795          DOI: 10.1016/j.jpainsymman.2019.11.013

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


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