Literature DB >> 12882262

Which cancer patients die in nursing homes? Quality of life, medical and sociodemographic characteristics.

Marit S Jordhøy1, Ingvild Saltvedt, Peter Fayers, Jon Håvard Loge, Marianne Ahlner-Elmqvist, Stein Kaasa.   

Abstract

In this study, cancer patients' characteristics associated with death in nursing homes were explored. The study sample included 395 cancer patients who had participated in a trial of palliative care, 260 (66%) patients died in hospital, 80 (20%) at home and 55 (14%) in nursing homes. Health-related quality of life was prospectively recorded using the EORTC QLQ-C30 questionnaire. Death in nursing home was associated with greater age, not living with spouse and poor performance status. Patients dying in nursing homes reported severe functioning impairments and more fatigue and appetite loss compared with those dying elsewhere. The association between death in nursing homes and poor physical, role, cognitive and social functioning remained significant when sociodemographic and medical differences were taken into account. Further research on frail elderly cancer patients is warranted to improve their care, to evaluate the appropriateness of nursing home placement and for future planning of palliative care services.

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Year:  2003        PMID: 12882262     DOI: 10.1191/0269216303pm774oa

Source DB:  PubMed          Journal:  Palliat Med        ISSN: 0269-2163            Impact factor:   4.762


  12 in total

1.  Mortality in nursing home residents without cognitive impairment and its relation to self-reported health-related quality of life, sociodemographic factors, illness variables and cancer diagnosis: a 5-year follow-up study.

Authors:  Jorunn Drageset; Geir Egil Eide; Anette Hylen Ranhoff
Journal:  Qual Life Res       Date:  2012-03-02       Impact factor: 4.147

2.  End-of-life care for nursing home residents dying from cancer in Nova Scotia, Canada, 2000-2003.

Authors:  Meaghan B O'Brien; Grace M Johnston; Jun Gao; Ron Dewar
Journal:  Support Care Cancer       Date:  2007-02-03       Impact factor: 3.603

3.  Variation in the use of palliative radiotherapy at end of life: examining demographic, clinical, health service, and geographic factors in a population-based study.

Authors:  M Ruth Lavergne; Grace M Johnston; Jun Gao; Trevor Jb Dummer; Dorianne E Rheaume
Journal:  Palliat Med       Date:  2010-10-11       Impact factor: 4.762

Review 4.  Effectiveness and cost-effectiveness of home palliative care services for adults with advanced illness and their caregivers.

Authors:  Barbara Gomes; Natalia Calanzani; Vito Curiale; Paul McCrone; Irene J Higginson
Journal:  Cochrane Database Syst Rev       Date:  2013-06-06

5.  Patterns and predictors of place of cancer death for the oldest old.

Authors:  Anna Lock; Irene Higginson
Journal:  BMC Palliat Care       Date:  2005-10-08       Impact factor: 3.234

6.  The support needs of terminally ill people living alone at home: a narrative review.

Authors:  Samar M Aoun; Lauren J Breen; Denise Howting
Journal:  Health Psychol Behav Med       Date:  2014-09-25

7.  PalliPA: How can general practices support caregivers of patients at their end of life in a home-care setting? A study protocol.

Authors:  Katja Hermann; Regine Boelter; Peter Engeser; Joachim Szecsenyi; Stephen M Campbell; Frank Peters-Klimm
Journal:  BMC Res Notes       Date:  2012-05-14

8.  The PAMINO-project: evaluating a primary care-based educational program to improve the quality of life of palliative patients.

Authors:  Thomas Rosemann; Katja Hermann; Antje Miksch; Peter Engeser; Joachim Szecsenyi
Journal:  BMC Palliat Care       Date:  2007-05-29       Impact factor: 3.234

9.  Is dying in hospital better than home in incurable cancer and what factors influence this? A population-based study.

Authors:  Barbara Gomes; Natalia Calanzani; Jonathan Koffman; Irene J Higginson
Journal:  BMC Med       Date:  2015-10-09       Impact factor: 8.775

10.  Loneliness, loss, and social support among cognitively intact older people with cancer, living in nursing homes--a mixed-methods study.

Authors:  Jorunn Drageset; Geir Egil Eide; Elin Dysvik; Bodil Furnes; Solveig Hauge
Journal:  Clin Interv Aging       Date:  2015-09-25       Impact factor: 4.458

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