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Background: Emergency Department (ED) crowding reduces staff satisfaction and healthcare quality and safety, which in turn increase costs. Despite a number of proposed solutions, ED length of stay (LOS) - a main cause of overcrowding - remains a major issue worldwide. This retrospective cohort study was aimed at evaluating the effectiveness on ED LOS of a procedure called "Diagnostic Anticipation" (DA), which consisted in anticipating the ordering of blood tests by nurses, at triage, following a diagnostic algorithm approved by physicians., Methods: In the second half of 2019, the ED of the University Hospital of Ferrara, Italy, adopted the DA protocol on alternate weeks for all patients with chest pain, abdominal pain, and non-traumatic bleeding. A retrospective cohort study on DA impact was conducted. Using ED electronic data, LOS independent predictors (age, sex, NEDOCS and Priority Color Code, imaging tests, specialistic consultations, hospital admission) were evaluated through multiple regression., Results: During the weeks when DA was adopted, as compared to control weeks, the mean LOS was shorter by 18.2 min for chest pain, but longer by 15.7 min for abdominal pain, and 33.3 for non-traumatic bleeding. At multivariate analysis, adjusting for age, gender, triage priority, specialist consultations, imaging test, hospitalization and ED crowding, the difference in visit time was significant for chest pain only (p < 0.001)., Conclusions: The impact of DA varied by patients' condition, being significant for chest pain only. Further research is needed before the implementation, estimating the potential proportion of inappropriate blood tests and ED crowding status.

Background: Evidence from studies conducted in Western countries indicates that a significant proportion of hospital beds are occupied by patients who experience a delayed hospital discharge (DHD). However, evidence about this topic is lacking in Italy, and little is known on the patients' and organisational characteristics that influence DHDs. Therefore, we carried out a survey in all the hospitals of a Northern Italian region to analyse the prevalence and the determinants of DHD., Methods: A cross-sectional study was carried out during an index period of 15 days in 256 operative units in Emilia-Romagna, a Northern Italian region with 4.4 million inhabitants, to identify patients medically fit for discharge but still hospitalised. The characteristics of these patients (n = 510) were compared with all the other patients (n = 5,815) hospitalised in the same operative units during the index period using multilevel logistic regression models., Results: The one-day prevalence of DHD was 8.1%. More than half of DHD patients (52.7%) waited to access long-term/rehabilitation units or residential care homes, 16.7% experienced a delay for family-related reasons, and 14.5% were waiting to be admitted to other rehabilitation services. Among DHD patients hospitalised in long-term/rehabilitation units, 45.3% were waiting to be transferred to residential care homes. Patients' characteristics associated with a higher likelihood of DHD in multilevel logistic regression were older age, provision of intensive care, a diagnosis of dementia, tumours or femoral/shoulder fractures, and a number of comorbidities. Patients hospitalised in long-term/rehabilitation units, as well as in orthopaedics/traumatology units, were significantly more likely to have a DHD compared with patients hospitalised in general surgery units. Moreover, compared with Local Health Authority Hospitals, being hospitalised in Hospital Trusts was associated with a higher likelihood of DHD., Conclusions: Although the prevalence of DHD in the present study is markedly lower than that reported in the literature, we submit that the DHD problem should be addressed with major organisational innovations, with a special focus on the ageing of the population and epidemiological trends. Organisational changes imply new ways of managing emerging clusters of patients whose needs are not efficiently or effectively met by traditional organisation models and services.