Literature DB >> 30423282

Identifying palliative care needs in residential care.

Thilini Liyanage1, Geoffrey Mitchell1, Hugh Senior1.   

Abstract

The aim of this study is to determine the accuracy, feasibility and acceptability of the surprise question (SQ) in combination with a clinical prediction tool (Supportive and Palliative Care Indicator Tool (SPICT)) in identifying residents who have palliative care needs in residential aged care facilities (RACFs) in Australia. A prospective cohort study in two RACFs containing both high-level care (including dementia) and low-level care beds. Directors of Nursing screened 187 residents at risk of dying by 12 months using first the SQ, and if positive, then the SPICT. At 12-months follow-up, deaths, hospitalisations, use of palliative care services, end-of-life care and clinical indicators were recorded. The SQ had a sensitivity of 70%, a specificity of 69.6%, a positive predictive value of 40.6% and a negative predictive value of 88.7% for death. All residents identified by the SQ had at least two general indicators of deterioration, while 98.8% had at least one disease-specific indicator on the SPICT. The SPICT marginally increased the ability to identify residents in need of proactive end-of-life planning. A combination of the SQ and the SPICT is effective in predicting palliative care needs in residents of aged care facilities, and may trigger timely care planning.

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Year:  2018        PMID: 30423282     DOI: 10.1071/PY17168

Source DB:  PubMed          Journal:  Aust J Prim Health        ISSN: 1448-7527            Impact factor:   1.307


  2 in total

1.  Frailty, Complexity, and Priorities in the Use of Advanced Palliative Care Resources in Nursing Homes.

Authors:  Emilio Mota-Romero; Beatriz Tallón-Martín; María P García-Ruiz; Daniel Puente-Fernandez; María P García-Caro; Rafael Montoya-Juarez
Journal:  Medicina (Kaunas)       Date:  2021-01-14       Impact factor: 2.430

2.  Supportive and palliative care indicators tool (SPICT™) in a Danish healthcare context: translation, cross-cultural adaptation, and content validation.

Authors:  Heidi Bergenholtz; Anna Weibull; Mette Raunkiær
Journal:  BMC Palliat Care       Date:  2022-03-24       Impact factor: 3.234

  2 in total

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