NANDA-NOC-NIC Taxonomy associated with Groups Related by Diagnosis in a high complexity hospital: a descriptive study

Abstract

Diagnosis Related Groups (DRG) make up a patient classification system that allows comparisons to be made between patient type and costs. Being able to associate DRG and the nursing process is a step forward, which values care in the care process. The objective of this study is to describe the care plans, diagnoses, outcome criteria and interventions associated with prevalent DRGs in a high-complexity hospital. Method: Cross-sectional descriptive study, carried out in inpatient units in a high-complexity hospital in 2022. Episodes of patients with stays >24 hours were studied. The data were obtained from EHR: diagnoses, results and interventions, DRG and sociodemographic data, described according to their nature. Results: 39,898 episodes have occurred. The patient profile is: age 59.1 (25.2) years, women 20,907 (52.2%) and median days of stay 4 [2-8]. The episodes generated 305 DRGs, 24378 (61.1%) had an associated care plan, which included 116 diagnoses, 234 NOC and 423 NIC with a median of 13 [8-20] interventions/day of stay. The 10 prevalent DRGs are related to the maternity process, COPD/respiratory infections, urinary tract infections, heart failure, gallbladder/tract disorders and stroke, accounting for 10,853 (27.2%) episodes. Conclusions: The NNN and the GRD have different purposes that can complement each other to provide a complete view of the episode. The NNN taxonomy and the DRG have a common objective of improving the quality of care supported by effective and efficient care.