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. 2013 Aug 15:13:316.
doi: 10.1186/1472-6963-13-316.

Predictors of mortality among elderly dependent home care patients

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Predictors of mortality among elderly dependent home care patients

Joan Gené Badia et al. BMC Health Serv Res. .

Abstract

Background: The purpose of this study is to identify which variables--among those commonly available and used in the primary care setting--best predict mortality in a cohort of elderly dependent patients living at home (EDPLH) that were included in a home care program provided by Primary Care Teams (PCT). Additionally, we explored the risk of death among a sub-group of these patients that were admitted to hospital the year before they entered the home care program.

Methods: A one-year longitudinal cohort study of a sample of EDPLH patients included in a home care programme provided by 72 PCTs. Variables collected from each individual patient included health and social status, carer's characteristics, carer's burden of care, health and social services received.

Results: 1,001 patients completed the study (91.5%), 226 were admitted to hospital the year before inclusion. 290 (28.9%) died during the one-year follow-up period. In the logistic regression analysis women show a lower risk of death [OR= 0.67 (0.50-0.91)]. The risk of death increases with comorbidity [Charlson index OR= 1.14 (1,06-1.23)], the number of previous hospital admissions [OR= 1,16 (1.03-1.33)], and with the degree of pressure ulcers [ulcers degree 1-2 OR = 2.94 (1.92-4.52); ulcers degree 3-4 OR = 4.45 (1.90-10.92)]. The logistic predictive model of mortality for patients previously admitted to hospital identified male sex, comorbidity, degree of pressure ulcers, and having received home care rehabilitation as independent variables that predict death.

Conclusions: Comorbidity, hospital admissions and pressure ulcers predict mortality in the following year in EDPLH patients. The subgroup of patients that entered home care programs with a previous record of hospital admission and a high score in our predictive model might be considered as candidates for palliative care.

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Figures

Figure 1
Figure 1
Predictive model of death in EDPLH patients admitted to hospital the year before entering the home care program: ROC curve.

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References

    1. Alcalá MV, Puime AO, Santos MT, Barral AG, Montalvo JI, Zunzunegui MV. Prevalencia de fragilidad en una población urbana de mayores de 65 años y su relación con comorbilidad y discapacidad. Aten Primaria. 2010;42:520–527. doi: 10.1016/j.aprim.2009.09.024. - DOI - PMC - PubMed
    1. Gobbens RJ, Luijkx KL, Wijnen-Sponselee MT, Schols JM. Toward a conceptual definition of frail community dwelling older people. Nurs Outlook. 2010;58:76–86. doi: 10.1016/j.outlook.2009.09.005. - DOI - PubMed
    1. McCusker J, Verdon J. Do Geriatric Interventions Reduce Emergency Department Visits? A Systematic Review. J Gerontol. 2006;61A:53–62. - PubMed
    1. Morales-Asencio JM, Gonzalo-Jménez E, Martín-Santos FJ, Morilla-Herrera JC, Celdrán-Mañas M, Millán-Carrasco A. et al.Effectiveness of a nurse-led case management home care model in Primary Health Care. A quasi-experimental, controlled, multi-centre study. BMC Heal Serv Res. 2008;8:193. doi: 10.1186/1472-6963-8-193. - DOI - PMC - PubMed
    1. Landri F, Onder G, Cesari M, Barilaro C, Lattanzio F, Carbonin PU. et al.Comorbidity and social factors predicted hospitalisation in frail elderly patients. J Clinical Epidemiology. 2004;57:832–836. doi: 10.1016/j.jclinepi.2004.01.013. - DOI - PubMed

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