Effects of the information-knowledge-attitude-practice nursing model combined with predictability intervention on patients with cerebrovascular disease

Background: Cerebrovascular disease (CVD) poses a serious threat to human health and safety. Thus, developing a reasonable exercise program plays an important role in the long-term recovery and prognosis for patients with CVD. 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 patients who suffered a stroke. Few studies have combined these two nursing models to treat CVD.

Aim: To explore the effect of the 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.

Methods: A total of 140 patients with CVD treated at our hospital between December 2019 and September 2021 were randomly divided into two groups, with 70 patients in each. The control group received routine nursing, while the observation group received the IKAP nursing model combined with predictive nursing. Both groups were observed for self-care ability, motor function, and disease knowledge mastery rate after one month of nursing.

Results: There was no clear difference between the Barthel index and FMA scores of the two groups before nursing (P > 0.05); however, their scores increased after nursing. This increase was more apparent in the observation group, and the difference was statistically significant (P < 0.05). 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 (P < 0.05). The satisfaction rate in the observation group (97.14%) was significantly higher than that in the control group (81.43%; P < 0.05).

Conclusion: The IKAP nursing model, combined with predictive nursing, is more effective than routine nursing in the care of patients with CVD, and it can significantly improve the Barthel index and FMA scores with better knowledge acquisition, as well as produce high satisfaction in patients. Moreover, they can be widely used in the clinical setting.