Annals of Noninvasive Electrocardiology (Nov 2022)

The clinical effect of WeChat‐based MUST education model on patients with chronic heart failure

  • Qianqian Liu,
  • Chunmei Jiang,
  • Xujuan Xu,
  • Qun Kang,
  • Xiaohong Chu

DOI
https://doi.org/10.1111/anec.13004
Journal volume & issue
Vol. 27, no. 6
pp. n/a – n/a

Abstract

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Abstract Objective To explore the effect of WeChat‐based MUST nursing intervention on self‐care ability and quality of life in patients with chronic heart failure. Method Convenient sampling was used to select CHF patients who received treatment in XX Hospital from January 1, 2020, to December 30, 2020, as the study subjects and was divided into the experimental group (n = 60) and the control group (n = 60) according to the random number table. The experimental group used the WeChat‐based MUST nursing intervention, and the control group used the routine education and follow‐up model. Cardiac function parameters, self‐care ability, and other indicators were compared between the two groups before and after nursing. The clinical effect of two groups was evaluated. Results After the nursing intervention, LVEF levels were increased to different extents and NT‐proBNP was decreased to different extents in both groups. LVEF level in the experimental group was higher than that in the control group, and the NT‐proBNP level in the experimental group was lower than that in the control group. After the nursing intervention, the self‐care ability and quality of life of the two groups were increased to varying degrees. Self‐care ability was higher in the experimental group than in the control group, and quality of life was higher in the experimental group than in the control group. Conclusion The WeChat‐based MUST nursing intervention model in patients with chronic heart failure, compared with the conventional cardiology nursing model, can effectively improve the self‐care ability of patients, improve the knowledge level and quality of life of patients with heart failure, and reduce the readmission rate.

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