Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

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Köberich, S; Lohrmann, C; Dassen, T.
Care dependency in patients with chronic obstructive pulmonary disease and heart failure - a secondary data analysis of German prevalence studies.
Scand J Caring Sci. 2014; 28(4):665-674
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Autor/innen der Med Uni Graz:
Lohrmann Christa
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Abstract:
The aim of this study was to compare the degree of care dependency between hospitalised patients with chronic heart failure (CHF) and patients with chronic obstructive pulmonary disease (COPD). Secondary data analysis of five German prevalence studies from 2007 to 2011. Care dependency was measured using the Care Dependency Scale. Hospitalised patients with CHF or COPD are to a limited extent care dependent, and their overall care dependency does not differ (p = 0.56). Care dependency items with the lowest mean were mobility, hygiene, getting (un)dressed, continence, avoidance of danger and daily activities. Patients with CHF or COPD did not differ statistically significantly in those items. Only the items 'eating and drinking' almost achieved statistical significance (p = 0.06). Patients with CHF or COPD did not differ in levels of care dependency. Both patient populations are restricted in engaging in activities potentially associated with physical condition and possibly influenced by perceived dyspnoea. Furthermore, comorbidities like incontinence and cognitive impairment seem to play an important role regarding the degree of care dependency. © 2013 Nordic College of Caring Science.
Find related publications in this database (using NLM MeSH Indexing)
Aged -
Aged, 80 and over -
Female -
Female - epidemiology
Heart Failure - complications
Heart Failure - therapy
Humans -
Male -
Middle Aged -
Prevalence -
Pulmonary Disease, Chronic Obstructive - complications
Pulmonary Disease, Chronic Obstructive - therapy

Find related publications in this database (Keywords)
health status
heart failure
chronic obstructive pulmonary disease
discharge planning
secondary data analysis
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