Relationship between elderly stroke patient caregivers scale and nursing diagnoses

Abstract

Objective: To describe relationships between the ECPICID-AVC scale factors and the NANDA-I domains, classes, and Nursing Diagnoses (NDs). Method: Cross-mapping study between the NANDA-I taxonomy and ECPICID-AVC scale was constructed based on the eight ECPICID-AVC scale factors and the 13 NANDA-I domains. A descriptive analysis was performed to present the mapped elements. Results: Areas of similarity and intersection were found between the eight ECPICID-AVC factors and nine NANDA-I domains, 19 classes, and 72 NDs. All scale factors were mapped with the Domain 1/Health Promotion, Class 2/Health Management and the ND “Frail elderly syndrome”. Final considerations: The ECPICID-AVC scale factors were mapped with nine domains, their classes and diagnoses. This study demonstrates the importance of identifying nursing diagnoses and their relationship with factors that evaluate caregiving capacity. The ECPICID-AVC can help nurses generate nursing diagnoses regarding the caregiver’s needs and their capacities related to care to focus such needs.

The analysis of nursing diagnoses determined by students for patients in rehabilitation units

“…In this study, it seems that the frequency of diagnosis related to physical mobility was high as stroke, paraplegia/tetraplegia, and hemiplegia patients accounted for 80%. In this regard, a previous study also reported that "impaired physical mobility" was a common nursing diagnosis for patients with cerebral vascular disease, and it was included as a necessary nursing diagnosis for stroke patients in previous studies (Granel and Bernabeu-Tamayo, 2020;McGlinchey et al, 2020;Pizzol et al, 2019). The high frequency of these nursing diagnoses is justified by the fact that cerebrovascular disease is a motor neuron disease that can lead to loss of voluntary movement control.…”