A randomised trial of home vs hospital intravenous antibiotic therapy in adults with infectious diseases

Objective. Despite widespread adoption of home care services, few randomised trials have compared health outcomes in the hospital and at home. We report a prospective, randomised trial of home versus hospital therapy in adults receiving intravenous (IV) antibiotics. Our objective was to show that home care is a feasible alternative to hospitalisation over a broad range of infections, without compromise to quality of life (QOL) or clinical outcomes. Methods. Consenting adults requiring IV antibiotics were randomised to complete therapy at home or in hospital. Short Form 36 and Perceived Health Competence Scale (PHCS) were used for assessment of QOL. Statistical analysis used unpaired t-tests, Mann-Whitney tests and ANOVA. Results. One hundred and twenty-nine admissions were referred. Recruitment was hampered by patient preference for one therapy over another. 82 (62%) were included and randomised: 44 to home, 38 to hospital; the two groups had comparable characteristics. There were no differences in improvements in QOL and PHCS scores between the two groups after treatment. Treatment duration was median 11.5 days (range 3 - 57) and 11 days (range 4 - 126) for home and hospital groups, respectively. Home therapy costs, approximately, half that of hospital therapy. Time to readmission was longer after hospital therapy. Conclusion. Out study showed that home IV therapy is welt tolerated, is less costly, is not associated with any major disadvantage to QOL or clinical outcomes compared to hospital therapy, and is an appropriate treatment option for selected patients. (C) 2003 The British Infection Society. Published by Elsevier Ltd. All rights reserved.

Single patient (n-of-1) trials with binary treatment preference

The use of a fully parametric Bayesian method for analysing single patient trials based on the notion of treatment 'preference' is described. This Bayesian hierarchical modelling approach allows for full parameter uncertainty, use of prior information and the modelling of individual and patient sub-group structures. It provides updated probabilistic results for individual patients, and groups of patients with the same medical condition, as they are sequentially enrolled into individualized trials using the same medication alternatives. Two clinically interpretable criteria for determining a patient's response are detailed and illustrated using data from a previously published paper under two different prior information scenarios. Copyright (C) 2005 John Wiley & Sons, Ltd.