Abstract
To construct and validate a nursing care dependency classification system for alcohol and other drugs. A psychometric study. We used the agreement percentage and intraclass correlation coefficient for inter-rater agreement. The Receiver Operating Characteristic was used to determine values and accuracy of the cut-off points. The steps were literature review, content validation and clinical validation. Fifteen (15) judges, 6 nurses and 65 users of psychiatric emergency and hospitalization units participated. There were 11 indicators divided into three subcategories of dependency, and a sum between 11 and 33. The agreement regarding the judges' evaluation on the categories was satisfactory, being equal to or higher than 80%. Agreement was satisfactory among the nurses in most of the indicators (K>0.400), and the Intraclass Correlation Coefficient was equal to 0.723. The Classification System of Patients for Alcohol and other Drugs presents statistical evidence of reliability, obtained by a satisfactory inter-rater agreement. Its applicability is widely believed to assist in the management of nursing care and team sizing.
Highlights
The consumption of psychoactive substances in Brazil and in the world is increasing, and its consequences are among the most frequent threats to the health of the population[1]
This study enabled constructing and validating a Classification System of Care Dependence for Alcohol and Other Drugs, abbreviated as SiCAD
It presents psychometric indicators with acceptable content validity, as well as reliable statistical evidence obtained by satisfactory inter-rater agreement.The classification system intervals are reliable and accurate since they have been statistically adjusted, which is an essential differential and makes them more sensitive to correctly categorize user needs
Summary
The consumption of psychoactive substances in Brazil and in the world is increasing, and its consequences are among the most frequent threats to the health of the population[1] These mainly include traffic accidents, violence, criminality, work absenteeism, reduced performance in professional activities, difficulties in interpersonal relationships, psychological disorders, homicides, suicides, clinical diseases, and hospital admissions; such consumption represents a risk factor for morbidity and mortality among young people and adults[2]. It points out that the number of nursing professionals directly interferes with the safety and quality of care It defines parameters for dimensioning the nursing professional staff in order to subsidize the managers and nurses in decision making about the work process based on the Patient Classification System (PCS) (Sistema de Classificação de Pacientes – SCP)(6)
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