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Intern Emerg Med ; 2(2): 95-9, 2007 Jun.
Article in English | MEDLINE | ID: mdl-17622495

ABSTRACT

OBJECTIVE: Investigate the prevalence of difficult hospital discharges (DHD), describe clinical and social patients' characteristics as potential reasons for discharge delays in an internal medicine ward and implement tailored post-discharge care. METHODS: During the year 2005 we analysed, in a middle-sized country hospital, all the patients for which some delay for discharge, owing to their whole complexity, was presumable. Comprehensive multidimensional assessment, clinical-social risk score, specific needs of care, mean of stay and outcomes were evaluated. RESULTS: 68.5% of DHD patients were >/=80 years old, with 3.8 the mean number of diseases per patient; 57.5% presented a loss of autonomy (ADL) just before acute deterioration; 80% were functionally and/or cognitively impaired. Only 5% had suitable family support; 5.1% were living at a nursing home; 2% were living alone. The most frequent causes of admission were stroke, cognitive impairment-dementia, cardiovascular diseases, fractures and cancer. Mean length of stay was 12 days. Fifty-two percent of patients were discharged home, 30% were admitted to a long-term care facility, 1% to hospice and 17% died during their hospital stay. CONCLUSIONS: The aim of "coordinated care" (i.e., targeting "at-risk" patients with assessment of medical, functional, social and emotional needs; provision of optimal medical treatment, self-care education, integrated services, monitoring of progress and early signs of problems) is to improve health outcomes and reduce costs. More than 80% of DHDs patients, with specific tailored programmes, may be discharged from hospital, with satisfactory solutions for them and their families.


Subject(s)
Hospital Units/statistics & numerical data , Internal Medicine/statistics & numerical data , Patient Discharge/statistics & numerical data , Aged, 80 and over , Female , Geriatric Assessment , Hospitals, County/statistics & numerical data , Humans , Length of Stay/statistics & numerical data , Male , Patient Admission/statistics & numerical data , Prevalence
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