Rawia Abd Elghny Mohamed
Asst. Professor
Effect of PDCA Nursing Model Based on Artificial Intelligence Strategies on Nurses’ Performance Regarding Care of Children with HenochSchonlein Purpura
Tanta Scientific Nursing Journal • 2024
Publication Information
Authors
Rawia Abd El-Ghany Mohamed1
, Shereen Said Gouda Ahmed2
, Fatma
Ismael Mohammed3
Keywords
Artificial Intelligence Strategies, Henoch-Schonlein Purpura , Nurses'
performance, PDCA Nursing Model.
Journal
Tanta Scientific Nursing Journal
Publisher
Rawia Abd El-Ghany Mohamed
Volume
35
Issue
4
Pages
76-102
publication.type
Local
Paper Link
Not Available
Supplementary Materials
Rawia Abd Elghny Mohamed_paper7.pdf
Abstract
Background: Successful implementation of AI into clinical practice requires a
thorough understanding of the attitudes and behaviors of the nurses. Aim: To
evaluate the effect of PDCA nursing model based on artificial intelligence
strategies on nurses’ performance regarding care of children with HenochSchonlein Purpura. Subjects and Method: Design: The present study was carried
out utilizing a quasi-experimental research design. Setting: The present study was
conducted at inpatient pediatric blood disease unit at Benha Specialized Pediatric
Hospital in Benha City. Subjects: All available nurses, composed of 60 nurses
working at the previously mentioned settings were included in the current study
regardless of their personal characteristics. Tools: Four tools were used for data
collection, Tool I: A structured interviewing questionnaire. Tool II: An
observational checklist to assess nurses' practice regarding care of children with
Henoch-Schonlein Purpura Tool III: Nurses' attitudes toward artificial
intelligence. Tool IV: Nurses' opinion regarding the effectiveness of each stage
of PDCA model. Results: The majority of the studied nurses had satisfactory level
of knowledge and competent level regarding their total practice post PDCA model
application. Also, the majority of them had positive attitude post PDCA model
application. Conclusion: PDCA Nursing Model based on Artificial Intelligence
strategies significantly improved nurses' performance in caring for children with
Henoch-Schonlein Purpura.
thorough understanding of the attitudes and behaviors of the nurses. Aim: To
evaluate the effect of PDCA nursing model based on artificial intelligence
strategies on nurses’ performance regarding care of children with HenochSchonlein Purpura. Subjects and Method: Design: The present study was carried
out utilizing a quasi-experimental research design. Setting: The present study was
conducted at inpatient pediatric blood disease unit at Benha Specialized Pediatric
Hospital in Benha City. Subjects: All available nurses, composed of 60 nurses
working at the previously mentioned settings were included in the current study
regardless of their personal characteristics. Tools: Four tools were used for data
collection, Tool I: A structured interviewing questionnaire. Tool II: An
observational checklist to assess nurses' practice regarding care of children with
Henoch-Schonlein Purpura Tool III: Nurses' attitudes toward artificial
intelligence. Tool IV: Nurses' opinion regarding the effectiveness of each stage
of PDCA model. Results: The majority of the studied nurses had satisfactory level
of knowledge and competent level regarding their total practice post PDCA model
application. Also, the majority of them had positive attitude post PDCA model
application. Conclusion: PDCA Nursing Model based on Artificial Intelligence
strategies significantly improved nurses' performance in caring for children with
Henoch-Schonlein Purpura.
