Literature DB >> 11839229

Barriers and enablers to hospice referrals: an expert overview.

Betsy T Friedman1, M Kay Harwood, Matthew Shields.   

Abstract

BACKGROUND: The nation has an ample supply of hospice programs and, through Medicare, Medicaid, or employee-sponsored health insurance, most people have nearly full coverage for hospice care. Yet, less than one third of dying persons use hospice care. Little is known about what prevents physicians from referring to hospice care and how effective hospices are in reaching out to physicians to generate referrals.
METHODS: In 1999, we conducted in-depth telephone interviews with 30 experts in hospice care across the country and made site visits to four different hospice programs.
RESULTS: The interviewees identified numerous barriers to accessing hospice care that are complex and often overlapping. Some barriers relate to physicians and other health care professionals, such as their difficulty accepting death and their lack of education in end-of-life care. Other barriers are the result of patient/family misinformation and aspects of the hospice system that limit the number and types of patients deemed appropriate for hospice care. Factors that facilitate hospice referrals (which we call enablers) are also numerous and include active efforts by hospices to educate and reach out to physicians and consumers, as well as physicians' practice styles.
CONCLUSIONS: The research provided powerful validation of trends that hospice and palliative care providers in the trenches have been describing anecdotally for several years. Ultimately, this information could be used to develop a toolkit for hospices and palliative care organizations to assist them with marketing and physician outreach.

Entities:  

Mesh:

Year:  2002        PMID: 11839229     DOI: 10.1089/10966210252785033

Source DB:  PubMed          Journal:  J Palliat Med        ISSN: 1557-7740            Impact factor:   2.947


  22 in total

1.  Why don't patients enroll in hospice? Can we do anything about it?

Authors:  Elizabeth K Vig; Helene Starks; Janelle S Taylor; Elizabeth K Hopley; Kelly Fryer-Edwards
Journal:  J Gen Intern Med       Date:  2010-06-10       Impact factor: 5.128

2.  Development of a prognostic model for six-month mortality in older adults with declining health.

Authors:  Paul K J Han; Minjung Lee; Bryce B Reeve; Angela B Mariotto; Zhuoqiao Wang; Ron D Hays; K Robin Yabroff; Marie Topor; Eric J Feuer
Journal:  J Pain Symptom Manage       Date:  2011-11-08       Impact factor: 3.612

3.  Awareness and Misperceptions of Hospice and Palliative Care: A Population-Based Survey Study.

Authors:  Ariel Shalev; Veerawat Phongtankuel; Elissa Kozlov; Megan Johnson Shen; Ronald D Adelman; M C Reid
Journal:  Am J Hosp Palliat Care       Date:  2017-06-20       Impact factor: 2.500

4.  Mobile health technology and home hospice care: promise and pitfalls.

Authors:  Veerawat Phongtankuel; Ronald D Adelman; M C Reid
Journal:  Prog Palliat Care       Date:  2018-04-26

5.  End-of-life care in Medicare beneficiaries dying with pancreatic cancer.

Authors:  Kristin M Sheffield; Casey A Boyd; Jamie Benarroch-Gampel; Yong-Fang Kuo; Catherine D Cooksley; Taylor S Riall
Journal:  Cancer       Date:  2011-04-14       Impact factor: 6.860

6.  Improving access to hospice care: informing the debate.

Authors:  Melissa D A Carlson; R Sean Morrison; Elizabeth H Bradley
Journal:  J Palliat Med       Date:  2008-04       Impact factor: 2.947

7.  Referring physicians' knowledge of hand surgery.

Authors:  Catherine M Curtin; Jeffrey Yao
Journal:  Hand (N Y)       Date:  2010-01-27

8.  Disparities in end of life care for elderly lung cancer patients.

Authors:  Preethy Nayar; Fang Qiu; Shinobu Watanabe-Galloway; Eugene Boilesen; Hongmei Wang; Lina Lander; Monirul Islam
Journal:  J Community Health       Date:  2014-10

9.  Factors that influence the presence of a hospice in a rural community.

Authors:  Cathy L Campbell; Elizabeth Merwin; Guofen Yan
Journal:  J Nurs Scholarsh       Date:  2009       Impact factor: 3.176

10.  A computer-assisted model for predicting probability of dying within 7 days of hospice admission in patients with terminal cancer.

Authors:  Jui-Kun Chiang; Yu-Hsiang Cheng; Malcolm Koo; Yee-Hsin Kao; Ching-Yu Chen
Journal:  Jpn J Clin Oncol       Date:  2010-01-22       Impact factor: 3.019

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