OBJECTIVE: This study aimed to investigate the factors associated with the delayed discharge of older people from hospital and their length of stay (LOS). METHODS: Data were collected retrospectively from inpatient records and adult social care services on older patients referred to the latter prior to hospital discharge. RESULTS: Data on two related measures--delayed discharge and LOS--were analysed separately within a four-stage sequential framework. Using bivariate analysis, we found that cognitive impairment and dependency were significantly associated with delay. Patients admitted to trauma and orthopaedics specialties were significantly more likely to be delayed on discharge. Respiratory illness was negatively associated with delay. Factors related to care received as an inpatient associated with delayed discharge from hospital were not being in the responsible consultant's bed for part of their stay, two or more moves between specialties and receipt of rehabilitation services. Admission to a care home and receipt of domiciliary care if returning to a private dwelling on discharge were associated with delay. In the multivariate analysis, dependence and cognitive impairment impacted differently on delay and LOS. Hospital variables were the most important predictors of LOS and social care variables in respect of delayed discharge. CONCLUSION: Patient characteristics and especially the organisation of care in hospital and the provision of services on discharge are related to the likelihood of delayed discharge and LOS. Improved services and structures to systematically assess and treat patient needs in hospital, together with the timely provision of services providing post-discharge services tailored to individual circumstances, are required.
OBJECTIVE: This study aimed to investigate the factors associated with the delayed discharge of older people from hospital and their length of stay (LOS). METHODS: Data were collected retrospectively from inpatient records and adult social care services on older patients referred to the latter prior to hospital discharge. RESULTS: Data on two related measures--delayed discharge and LOS--were analysed separately within a four-stage sequential framework. Using bivariate analysis, we found that cognitive impairment and dependency were significantly associated with delay. Patients admitted to trauma and orthopaedics specialties were significantly more likely to be delayed on discharge. Respiratory illness was negatively associated with delay. Factors related to care received as an inpatient associated with delayed discharge from hospital were not being in the responsible consultant's bed for part of their stay, two or more moves between specialties and receipt of rehabilitation services. Admission to a care home and receipt of domiciliary care if returning to a private dwelling on discharge were associated with delay. In the multivariate analysis, dependence and cognitive impairment impacted differently on delay and LOS. Hospital variables were the most important predictors of LOS and social care variables in respect of delayed discharge. CONCLUSION:Patient characteristics and especially the organisation of care in hospital and the provision of services on discharge are related to the likelihood of delayed discharge and LOS. Improved services and structures to systematically assess and treat patient needs in hospital, together with the timely provision of services providing post-discharge services tailored to individual circumstances, are required.
Authors: Amada Pellico-López; Manuel Herrero-Montes; David Cantarero Prieto; Ana Fernández-Feito; Joaquin Cayon-De Las Cuevas; Paula Parás-Bravo; María Paz-Zulueta Journal: PeerJ Date: 2022-06-17 Impact factor: 3.061
Authors: Amada Pellico-López; Ana Fernández-Feito; David Cantarero; Manuel Herrero-Montes; Joaquín Cayón-de Las Cuevas; Paula Parás-Bravo; María Paz-Zulueta Journal: Sci Rep Date: 2022-06-27 Impact factor: 4.996
Authors: Daniela C Gonçalves-Bradley; Natasha A Lannin; Lindy M Clemson; Ian D Cameron; Sasha Shepperd Journal: Cochrane Database Syst Rev Date: 2016-01-27
Authors: Jacopo Lenzi; Maria Mongardi; Paola Rucci; Eugenio Di Ruscio; Maria Vizioli; Concetta Randazzo; Elena Toschi; Tiziano Carradori; Maria Pia Fantini Journal: BMC Health Serv Res Date: 2014-03-15 Impact factor: 2.655