Abstract | OBJECTIVE: To assess the impact of the systematic use of the Palliative Care Needs Assessment Guidelines and Needs Assessment Tool: Progressive Disease- Cancer ( NAT: PD-C) on clinical assessment, response and service utilisation. STUDY SETTING: Three major oncology treatment centres in NSW, Australia. STUDY DESIGN: Between March 2007 and December 2009, 219 people with advanced cancer were recruited to complete bi-monthly telephone interviews. The intervention, introduced after at least two baseline interviews, involved training health professionals to complete the NAT: PD-C with patients approximately monthly. DATA COLLECTION: Rates of service use and referrals were compared pre- and post-introduction of the NAT: PD-C. Rates of completion of the tool; its impact on consultation length; and the types of needs and follow-up care to address these were also assessed. PRINCIPAL FINDINGS: The NAT: PD-C had a high rate of completion; identified needs consistent with those self-reported by patients in interviews; and did not alter consultation length. No changes in the number of health professionals seen by patients were found pre- and post-intervention. CONCLUSION: The NAT: PD-C is an efficient and acceptable strategy for supporting needs-based cancer care that can potentially be incorporated into standard routine care without increasing the burden on care providers.
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Authors | Amy Waller, Afaf Girgis, Claire Johnson, Christophe Lecathelinais, David Sibbritt, Michael Seldon, Tony Bonaventura, David Currow, Palliative Care Research Program team |
Journal | Psycho-oncology
(Psychooncology)
Vol. 21
Issue 5
Pg. 550-7
(May 2012)
ISSN: 1099-1611 [Electronic] England |
PMID | 22517737
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Copyright | Copyright © 2011 John Wiley & Sons, Ltd. |
Topics |
- Adult
- Aged
- Aged, 80 and over
- Australia
- Delivery of Health Care
- Feasibility Studies
- Female
- Humans
- Male
- Middle Aged
- Needs Assessment
- Neoplasms
(therapy)
- Palliative Care
(statistics & numerical data)
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