Huo HL, Gui YY, Xu CM, Zhang Y, Li Q. Effects of the information–knowledge–attitude–practice nursing model combined with predictability intervention on patients with cerebrovascular disease. World J Clin Cases 2022; 10(20): 6803-6810 [PMID: 36051130 DOI: 10.12998/wjcc.v10.i20.6803]
Corresponding Author of This Article
Chun-Miao Xu, MM, Nurse, Nursing School, Qiqihar Medical University, No. 333 Bukui North Street, Jianhua District, Qiqihar 161006, Heilongjiang Province, China. xcmmiao02@163.com
Research Domain of This Article
Nursing
Article-Type of This Article
Case Control Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Clin Cases. Jul 16, 2022; 10(20): 6803-6810 Published online Jul 16, 2022. doi: 10.12998/wjcc.v10.i20.6803
Effects of the information–knowledge–attitude–practice nursing model combined with predictability intervention on patients with cerebrovascular disease
Hong-Liang Huo, Yuan-Yuan Gui, Chun-Miao Xu, Yan Zhang, Qiang Li
Hong-Liang Huo, Department of Nursing, The Fourth Affiliated Hospital of Qiqihar Medical University, Qiqihar 161000, Heilongjiang Province, China
Yuan-Yuan Gui, Chun-Miao Xu, Yan Zhang, Qiang Li, Nursing School, Qiqihar Medical University, Qiqihar 161006, Heilongjiang Province, China
Author contributions: Huo HL designed and performed the research, collected and analyzed the data, and wrote the article; Gui YY and Zhang Y collected the data and samples; Xu CM analyzed the data; and Xu CM and Li Q edited, reviewed, and approved the final article.
Supported byBasic scientific research industry of Heilongjiang Provincial undergraduate universities in 2019, No. 2019-KYYWF-1213.
Institutional review board statement: The study protocol conformed to the ethical guidelines of the Declaration of Helsinki and was approved by the Ethics Committee of Qiqihar Medical University.
Informed consent statement: All study participants or their legal guardians provided written informed consent prior to study enrollment.
Conflict-of-interest statement: The authors declare no conflicts of interest.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Chun-Miao Xu, MM, Nurse, Nursing School, Qiqihar Medical University, No. 333 Bukui North Street, Jianhua District, Qiqihar 161006, Heilongjiang Province, China. xcmmiao02@163.com
Received: March 8, 2022 Peer-review started: March 8, 2022 First decision: April 13, 2022 Revised: April 27, 2022 Accepted: May 28, 2022 Article in press: May 28, 2022 Published online: July 16, 2022
ARTICLE HIGHLIGHTS
Research background
Studies have shown that predictive nursing can improve the quality of care and that the information–knowledge–attitude–practice (IKAP) nursing model has a positive impact on stroke patients. Establishing a reasonable exercise plan plays an important role in long-term rehabilitation and prognosis for patients with cerebrovascular disease (CVD).
Research motivation
There are no reports of predictive nursing combined with the IKAP nursing model for CVD.
Research objectives
This study aimed to explore the effects of IKAP nursing model combined with predictive nursing on the Fugl–Meyer motor function (FMA) score, Barthel index score, and disease knowledge mastery rate in patients with CVD.
Research methods
A total of 140 patients with CVD were randomly divided into control and observation groups. The control group received routine nursing, while the observation group received IKAP combined with predictive nursing. Both groups were observed for self-care ability, motor function, and disease knowledge mastery rate after one month of nursing.
Research results
There was no clear difference between the Barthel index and FMA scores of the two groups before nursing, but their scores increased after nursing. This increase was more apparent in the observation group, and the difference was statistically significant. The rates of disease knowledge mastery, timely medication, appropriate exercise, and reasonable diet were significantly higher in the observation group than in the control group. The satisfaction rate in the observation group was significantly higher than that in the control group.
Research conclusions
The IKAP nursing model, combined with predictive nursing, is more effective than routine nursing in the care of patients with CVD; it can significantly improve the Barthel index and FMA scores with better knowledge acquisition and produce high satisfaction in patients. Moreover, it can be widely used in the clinical setting.
Research perspectives
The IKAP model of care, combined with predictive care, can be widely used in clinical settings to significantly improve long-term care and outcomes in patients with CVD.
