Prioritizing Patient Assessment Data (PAD) Using the Japanese Psychiatric Nursing Assessment Classification System (PsyNACS)©

Abstract

The study identified priorities of the Patient Assessment Data (PAD) using the Japanese Psychiatric Nursing Assessment Classification System (PsyNACS©) derived from 644 psychiatric nurses' responses who were practicing in specific units: Acute Care Units (ACU), General Care Units (GCU), Long-term Care Units (LCU), physically Complicated Disease Care Units (CDCU), and Dementia Care Units (DCU). Secondary analysis of the PsyNACS© on-line survey data using four levels of "importance" was used to determine the priorities: 1) unnecessary; 2) quite important; 3) important and 4) very important. The Mean Factor Points (MFP) and the Welch's ANOVA were calculated. Psy-NACS© score of 3 or higher indicates the PAD as priority. The results showed that in the ACU PAD1, "Psychological symptom", "Stress coping", and "Mood disorder and aggression", and PAD2 "Information of adherence", and "Information of the psychiatry rehabilitation", and PAD7 "Situation of the family and social life", "Relationship to the health care providers", and "Relationships with others" are high priority (high importance). Other PADs showed results below PsyNACS© score of 3. The GCU had PAD 3 "Balance of water", the LCU had PAD 4 "Intention/Point of view", and "Thoughts of the patient" and PAD 7 "Disease and family". The CDCU showed PAD 2 "Blood test", PAD 3 "Excretion situation", and PAD 5 "General health condition", "Respiratory and chest symp-* Corresponding author. H. Ito et al. 219tom", and "Vital signs", and the DCU had PAD 1 "Cognition function", and "Delirium and derangement capacity to register failure", PAD 3 "Function of eating", PAD 6 "Egestion and cleanliness" and PAD 8 "Activity and sleeping", and "Mobility capability". These classifications indicated levels of importance in the CAD comprising the PAD below the score of "2". Japanese psychiatric hospitals specify assessments according to functional areas. By prioritizing the CAD for each PAD, more effective and efficient assessments can be performed according to practice unit.

Artificial Brain for the Humanoid-Nurse Robots of the Future: Integrating PsyNACS© and Artificial Intelligence

“…The need for a specialized nursing database for psychiatric hospitals in Japan prompted the development of the Psychiatric Nursing Assessment Classification System and Care planning System (PsyNACS©) to improve psychiatric nursing care services (Ito et al) [15,16]. This was a data-driven classification system of nursing assessment data for Japanese psychiatric healthcare which can be used in various patient care situations in psychiatric units.…”

The Development of the “Monitoring Application for Inappropriate Expressions in Nursing Records” for PsyNACS<sup>©</sup>

“…To solve this problem, our investigation team developed the Psychiatric Nursing Assessment Classification System (PsyNACS © ) [23] [24] in 2015, with the aim of computerizing and improving the quality of psychiatric nursing and care. This system is available at a low cost and can be introduced by small hospitals.…”