BACKGROUND: The complexity of care can be described through a clinical nursing information system, in particular through the Professional Assessment Instrument -PAI-, encoding each health care activity in time units and analysing the relationship of observed time to patient characteristics in relation to the functional models of care needs. DESIGNS:Observational study. METHODS:Data were collected for 11 months in 2016-17 in four inpatient units of an Italian hospital using the Professional Assessment Instrument, and a survey grid to measure the time of the nursing activities delivered. All activities with a frequency of 20 or more have been included. The Work Sampling technique was used for time-tracking. RESULTS:The sample included 2765 nursing activities. The mean times for each care activity were compared showing significant differences. A statistically significant correlation (Sperman's correlation coefficient) was observed both between the observed time and the level of illness severity and between time and functional models. CONCLUSIONS:Patient complexity, both in terms of illness severity and level of dependence, can be coded through a clinical nursing information system. This facilitates the classification and measurement of nursing care delivered, which includes the entire care process.
A nursing clinical information system for the assessment of the complexity of care
D'Agostino, Fabio;
2018-01-01
Abstract
BACKGROUND: The complexity of care can be described through a clinical nursing information system, in particular through the Professional Assessment Instrument -PAI-, encoding each health care activity in time units and analysing the relationship of observed time to patient characteristics in relation to the functional models of care needs. DESIGNS:Observational study. METHODS:Data were collected for 11 months in 2016-17 in four inpatient units of an Italian hospital using the Professional Assessment Instrument, and a survey grid to measure the time of the nursing activities delivered. All activities with a frequency of 20 or more have been included. The Work Sampling technique was used for time-tracking. RESULTS:The sample included 2765 nursing activities. The mean times for each care activity were compared showing significant differences. A statistically significant correlation (Sperman's correlation coefficient) was observed both between the observed time and the level of illness severity and between time and functional models. CONCLUSIONS:Patient complexity, both in terms of illness severity and level of dependence, can be coded through a clinical nursing information system. This facilitates the classification and measurement of nursing care delivered, which includes the entire care process.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.