Objective. To explore the effect of mobile Internet on attitude and self-efficacy of patients with coronary heart disease (CHD) diagnosed by 12-lead Holter ECG. Methods. The clinical data of 62 patients with CHD who underwent routine ECG examination (control group I) and 12-lead dynamic electrocardiogram (control group II) in our hospital (June 2017-December 2020) were retrospectively analyzed, and the clinical data of another 62 patients with CHD who received 12-lead Holter ECG examination combined with mobile Internet in our hospital at the same time (study group) were retrospectively analyzed. The clinical observation indexes of the three groups were compared. Results. No obvious difference in general data among groups (P>0.05). Compared with the control group I, the positive detection rate (PDR) of the study group and the control group II was obviously higher (P<0.05), and the PDR of the study group was obviously higher than that of the control group II, without remarkable difference between both groups (P>0.05). Compared with the control group, the scores of CAS-R of the study group were obviously higher (P<0.05), and self-efficacy of daily life, health behaviors, medication compliance, and compliance behavior of the study group was obviously better (P<0.05). The diagnostic efficacy was derived by ROC curve analysis, 12-lead Holter ECG combined with mobile Internet + routine ECG > 12-lead Holter ECG combined with mobile Internet > 12-lead Holter ECG > routine ECG. Conclusion. Compared with the routine ECG, the sensitivity of 12-lead Holter ECG in the diagnosis of CHD is conspicuously higher. Meanwhile, 12-lead Holter ECG combined with mobile Internet can enhance the diagnostic efficiency and improve patients' perceived control attitude and self-efficacy.
CITATION STYLE
Sun, H., Li, J., Wang, Y., & Ma, X. (2022). Effect of Mobile Internet on Attitude and Self-Efficacy of Patients with Coronary Heart Disease Diagnosed by 12-Lead Holter ECG. Journal of Healthcare Engineering, 2022. https://doi.org/10.1155/2022/3414178
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