Literature DB >> 10802961

Home versus hospice inpatient care: discharge characteristics of palliative care patients in an acute care hospital.

R L Fainsinger1, D Demoissac, J Cole, K Mead-Wood, E Lee.   

Abstract

This prospective survey was initiated to identify factors that helped and hindered home discharge for 100 consecutive patients who did not require further specialist palliative or acute care. Information was collected on demographics, functional ability (using the Palliative Performance Scale [PPS] and Karnofsky Performance Scale [KPS]), cognitive function at discharge as measured by the Mini-Mental State Examination (MMSE), home support circumstances, and patient and family preference for discharge. 59 patients were discharged home and 41 were transferred to a hospice. Younger patients with younger caregivers were discharged home more often. Patients with better MMSE and better functional ability (PPS and KPS) were also more likely to go home. Patients going home were more likely to be married. Preference for site of discharge was met for 76% of patients and 90% of families. Of the patients going to a hospice, 24% of patients and 7% of families preferred a home discharge. More physical support at home could have facilitated a home discharge for 13 patients. Functionally dependent and cognitively impaired patients were generally unable to return home. To support patients and their families in an environment of their choice, access to increased physical support in the home must be addressed.

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Year:  2000        PMID: 10802961

Source DB:  PubMed          Journal:  J Palliat Care        ISSN: 0825-8597            Impact factor:   2.250


  8 in total

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2.  Correlation between Braden Scale and Palliative Performance Scale in advanced illness.

Authors:  Vincent Maida; Francis Lau; Michael Downing; Ju Yang
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Journal:  Support Care Cancer       Date:  2018-05-30       Impact factor: 3.603

4.  Discharge outcomes and survival of patients with advanced cancer admitted to an acute palliative care unit at a comprehensive cancer center.

Authors:  David Hui; Ahmed Elsayem; Shana Palla; Maxine De La Cruz; Zhijun Li; Sriram Yennurajalingam; Eduardo Bruera
Journal:  J Palliat Med       Date:  2010-01       Impact factor: 2.947

5.  Coming and going: predicting the discharge of cancer patients admitted to a palliative care unit: easier than thought?

Authors:  Eva K Masel; Patrick Huber; Sophie Schur; Katharina A Kierner; Romina Nemecek; Herbert H Watzke
Journal:  Support Care Cancer       Date:  2015-01-11       Impact factor: 3.603

6.  Nurse and physician inter-rater agreement of three performance status measures in palliative care outpatients.

Authors:  Camilla Zimmermann; Debika Burman; Shazeen Bandukwala; Dori Seccareccia; Ebru Kaya; John Bryson; Gary Rodin; Christopher Lo
Journal:  Support Care Cancer       Date:  2009-07-23       Impact factor: 3.603

Review 7.  Aligning policy objectives and payment design in palliative care.

Authors:  Stephen Duckett
Journal:  BMC Palliat Care       Date:  2018-03-07       Impact factor: 3.234

8.  A flexible alternative to the Cox proportional hazards model for assessing the prognostic accuracy of hospice patient survival.

Authors:  Branko Miladinovic; Ambuj Kumar; Rahul Mhaskar; Sehwan Kim; Ronald Schonwetter; Benjamin Djulbegovic
Journal:  PLoS One       Date:  2012-10-17       Impact factor: 3.240

  8 in total

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