Influence of intelligent management mode based on Internet of Things on self-management ability and prognosis of elderly patients with hypertensive heart disease: An observational study

Author:

Xu Yaning1,Zai Wenxin2,Yang Ming1,Zhu Lei1,Zhang Yun1,Fu Xin1,Dai Ting1

Affiliation:

1. Department of Geriatrics, The Sixth Hospital of Wuhan, Affiliated Hospital of Jianghan University, Wuhan, Hubei, China

2. Department of Cardiovascular, The Sixth Hospital of Wuhan, Affiliated Hospital of Jianghan University, Wuhan, Hubei, China.

Abstract

Hypertensive heart disease was difficult to cure with drugs, and most patients had poor compliance, leading to recurrent disease and poor quality of life. The intelligent management mode based on the Internet of Things avoided the excessive dependence of the elderly patients on medical institutions in the traditional medical model and enabled patients to monitor themselves. This study aimed to explore the impact on self-management ability and prognosis of elderly patients with hypertensive heart disease. A total of 150 elderly patients with hypertensive heart disease who received treatment from April 2020 to April 2022 were selected and divided into control group (n = 75 cases) and observation group (n = 75 cases) by random number table method. The control group was given routine intervention, and the observation group was given intelligent management mode based on the Internet of Things. Blood pressure fluctuation, self-management ability, and prognosis of the 2 groups were compared after intervention. After the intervention of the intelligent management mode based on the Internet of Things, the systolic and diastolic blood pressure levels in the observation group were lower than those in the control group (P < .05). After intervention, the scores of self-management ability in diet control, self-care skills, rehabilitation exercise, and self-monitoring in observation group were higher than those in control group (P < .05). After intervention, the total incidence of chest tightness, dyspnea, arrhythmia, edema, and nausea in the observation group was 5 (6.67%), which was significantly lower than that in the control group 12 (16.00%) (P < .05). The application of intelligent management mode based on the Internet of Things could effectively improve patients’ blood pressure level, improve patients’ self-management ability, and significantly improve the prognosis, which was worthy of popularization and application.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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