Factors related to the length of in-hospital stay of geriatric patients.

The aim of this study was to evaluate factors predicting length of stay in hospital of geriatric patients. Study participants were 402 patients (183 males and 219 females) consecutively admitted to four geriatric wards located in Chieti, Perugia, Pescara and Prato, Italy. Information on potential predictors of length of stay was collected; in particular, we assessed the presence and severity of specific chronic medical conditions, level of physical function, cognitive status, and depressive symptoms. Moreover, information on family and social support was obtained. In general, participants were old, often cognitively impaired and physically disabled. Average length of stay ranged from 9.4 +/- 3.3 days (Perugia) to 14.1 +/- 7.2 days (Chieti), and was statistically different across centers (p < 0.001). None of the specific medical diagnoses was associated with different length of stay. However, higher comorbidity score (p < 0.001), living alone (p < 0.01), lower MMSE score (p = 0.03), and poor functional status (p = 0.05) were all associated with longer length of stay. When these variables were included in a multivariate model predicting length of stay, differences between centers were no longer statistically significant. Findings of this study show that specific medical diagnoses are not adequate instruments to estimate length of stay in geriatric units. Other assessment systems based on extension of the social network, comorbidity, and the cognitive as well as the functional level need to be developed.

Characteristics of geriatric patients related to early and late readmissions to hospital.

The aim of the study was to evaluate which characteristics of geriatric patients account for readmission to hospital, 6 months after discharge. All patients (203 females, 176 males) consecutively admitted over a two-month period to four acute geriatric care units, located in the cities of Chieti, Perugia, Pescara and Prato, participated in the study. Data that could potentially explain early and late readmissions were collected for each patient. Prevalence of diseases and comorbidity were assessed with the Cumulative Illness Rating Scale (CIRS); physical function by self-report (ADL, IADL) and objective (Stand and Walking Speed) measures; cognitive level by MMSE; and depressive symptoms by the Geriatric Depression Scale (GDS). Information on family and social support were also obtained. After discharge, data on hospital readmissions were collected for six months. For each readmitted patient (cases), medical records were reviewed, and supplementary information was obtained from families and general practitioners. Readmissions were classified as "early" (within the first three months), "late" (within the third and sixth month), and "multiple" (2 or more readmissions irrespective of the period). Patients not readmitted (alive at home) were considered as controls. Systematic differences between centers and between periods of readmissions were evaluated using one-way analyses of variance, and Pearson's chi 2 test. Factors related to early, late, and multiple readmission were identified in multivariate logistic regression models. On univariate analysis, patients readmitted over the first three-month period were sicker than controls (CIRS classes 3-4: 52.1% vs 34.1%), had more social problems or behavioral symptoms, and were more functionally impaired (ADL dependencies 3.3 +/- 0.4 vs 2.1 +/- 0.2). Patients who were readmitted between the third and the sixth month after discharge had a significantly higher CIRS total score (p = 0.006). Patients with multiple readmissions had more severe diseases, and more social problems. On multivariate analysis, early readmission was associated with unsatisfactory social conditions, living alone, severity of diseases and cognitive impairment, while late readmission was associated with comorbidity only. Multiple readmissions were related only to social factors, and to hospital admission before the baseline evaluation. The findings of this study suggest that interventions aimed at improving unfavorable social conditions may reduce the rate of rehospitalization in geriatric patients.