Clinical validation of the nursing diagnosis "Fall risk in adults (00303)" in elderly people in the community-dwelling.

Purpose: To identify the risk factors for the nursing diagnosis of fall risk in adults (00303) in elderly people in the community-dwelling.

Method: This is a methodological study, with a quantitative approach, carried out with elderly people living in the city of Ribeirão Preto, SP, Brazil, from February to December 2018. For data collection, the demographic profile, Mini-Mental State Examination, diseases self-reported, functional independence measure, Lawton and Brody scale, geriatric depression scale, and self-perception of gait instruments were used.

Diagnostic concordance among nursing clinical decision support system users: a pilot study.

Objective: To analyze the nursing diagnostic concordance among users of a clinical decision support system (CDSS), The Electronic Documentation System of the Nursing Process of the University of São Paulo (PROCEnf-USP®), structured according to the Nanda International, Nursing Intervention Classification and Nursing Outcome Classification (NNN) Taxonomy.

Materials And Methods: This pilot, exploratory-descriptive study was conducted from September 2017 to January 2018. Participants were nurses, nurse residents, and nursing undergraduates.

Evaluation of the Accuracy of Nursing Diagnoses Determined by Users of a Clinical Decision Support System.

Purpose: To analyze the accuracy of nursing diagnoses determined by users of a clinical decision support system (CDSS) and to identify the predictive factors of high/moderate diagnostic accuracy.

Methods: This is an exploratory-descriptive study carried out from September 2017 to January 2018. Participants were nurses, resident nurses, and senior year undergraduates.

Usability Testing of PROCEnf-USP: A Clinical Decision Support System.

Decision support systems (DSSs) are recognized as important tools, capable of processing high volumes of data and increasing productivity. The usability of these tools affects their effectiveness. By evaluating the interactions between registered nurses (RNs) and the DSSs, this study explores how they impact RN decision-making.