ABSTRACT
OBJECTIVES: The aim of this study was to investigate how palliative care service structures and processes correlate with their outputs and outcomes, measuring the latter respectively in terms of intensity of care and death at home. METHODS: The Veneto Regional Health Authorities collected a set of 37 quality indicators for the year 2016, covering the following five dimensions: service integration, service structure, accessibility, professional processes and organisational processes. Their validity was assessed by a panel of 29 palliative care experts. A score was assigned to each indicator on the basis of its relevance. Non-parametric correlations between the care quality indicators and the measures of the palliative care outputs and outcomes were investigated, along with the presence of a monotonic trend in the performance of the local health units (LHU) grouped by 'low', 'medium' or 'high' scores and differences between these groups of LHUs. RESULTS: The data showed that palliative care service structure and professional processes were the dimensions correlating significantly with the intensity of care coefficient. An increasingly significant statistical trend was found in both the intensity of care coefficient and the proportion of deaths at home for the three groups of LHUs in terms of the professional processes dimension. CONCLUSIONS: Despite its limitations, this study brought to light some statistically significant findings that are worth investigating in larger samples. To achieve improvements in the quality of palliative care, it is important for healthcare providers to know which variables most affect the output and especially the outcomes of the services offered.
ABSTRACT
PURPOSE: This study aimed to identify services-related and area-based measures together with socio-demographic factors that could improve diagnosis-related groups in explaining length of stay variability in general hospital psychiatric units in Veneto Region (North East of Italy). METHODS: Data were collected from the regional hospital discharge records database. A hierarchical multiple regression model with only diagnosis-related groups as predictors of actual and ln-transformed length of stay was compared with a second model in which patient-, service- and area-level variables were included. Local health district was used as group-level in the hierarchical multiple regression analysis. RESULTS: The only diagnosis explains 6.4% of actual length of stay total variance (14.8% for ln-transformation). In the second model length of stay resulted related also to gender, age, severity of hospitalization, patient's local health district, number of psychiatrists, psychologists, hospital attendants/nurses, social workers and educators in the general hospital psychiatric units, number of outpatients in each local health district and percentages of divorced and single people, with almost a 2% point increase on actual length of stay in explained variance (5% point increase for ln-transformation). CONCLUSIONS: For the first time the hospital discharge card regional survey of all public acute inpatient psychiatric facilities in Veneto Region were used. The innovative aspect of this study was the attempt to investigate the relationship between length of stay and other indexes, characterizing not only the inpatient facilities, but also the resident population structure in each area. The information about factors that influence length of stay can be useful to inform service planning and resource allocation.
