Effect of Digital Intervention on Self-management of Hypertensive Patients at High Risk of Stroke

Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age45+
SponsorAffiliated Hospital of Nantong University

About this trial

Stroke is the second leading cause of death in the world, and the number of stroke patients in China ranks the first in the world. Hypertension is the most important risk factor. Studies have shown that 80% of stroke can be prevented by controlling risk factors. However, the management level of hypertension patients in China is still low, and their self-management ability is insufficient.

Digital health management, such as remote monitoring, AI and mobile health platforms, provides a new way for hypertension prevention and control. Foreign studies have shown that digital interventions can effectively improve patients' self-management behaviors, such as diet, exercise and blood pressure control. Interventions based on wechat, APP and other tools in China have also achieved positive results, but face challenges such as patient acceptance, system adaptation and data continuity.

Based on behavior change wheel (BCW) theory \*\* and digital platform, this study formulated personalized intervention programs for hypertension patients in high-risk groups of stroke, and promoted health behavior change from three aspects of \*\* ability, motivation and opportunity \*\*. By improving disease cognition and strengthening self-management, the incidence of stroke can be ultimately reduced, and a new strategy for hypertension prevention and control in the community can be provided.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

None

Disqualifiers

None

Trial design

Design model

Parallel

Treatments tested in this trial

  • Digital intervention has a high blood pressure in the high-risk population of stroke Study on the effect of stress on self-management behavior of patients

    Device

    Intervention group (n = 60) : Interventions were developed for five behavioral problems, as follows: 1. Lack of knowledge about hypertension \- Measures: APP push knowledge (risk factors, medication, lifestyle, etc.), blood pressure monitoring teaching, monthly online lectures, regular feedback and encouragement of blood pressure data. 2. Poor medication compliance \- Measures: Medication reminders were set by the APP, and repeated and recorded when no medication was taken. 3. Obesity/overweight Targets: BMI 18.5-23.9, waist circumference \<90cm in men and \<85cm in women Interventions: promoting knowledge about the dangers of obesity, daily exercise reminders, setting weight loss goals and encouraging weight loss. 4. A high-sodium diet Target: \<6g salt per day \- Measures: Release of low-salt dietary guidelines (graphic and text) and distribution of salt-limiting spoons (1-2 grams). 5. Drinking too much Target: ≤25g alcohol per day for men and ≤15g for women; Weekly male ≤140g, female ≤80

Treatment groups

120 Participants
are divided into 2 treatment groups
Group A: Digital intervention has a high blood pressure in the high-risk population of stroke StudyExperimental treatment 1 intervention
Group B: The control group was given health education according to the community management routine of the 20No intervention 0 interventions

Trial outcomes

Primary outcomes

1

Hypertension Self-Management Behavior Rating Scale (HPSMBRS)

Time frame
From the beginning of enrollment to the end 6 months later
2

Hypertension Knowledge Scale (HK-LS)

Time frame
From the beginning of enrollment to the end 6 months later
3

Stroke premonitory symptom alertness assessment questionnaire

Time frame
From the beginning of enrollment to the end 6 months later
4

Self-rating Depression Scale (PHQ-9)

Time frame
From the beginning of enrollment to the end 6 months later

Secondary outcomes

1

Blood Pressure (mmHg)

Time frame
From the beginning of enrollment to the end 6 months later
2

Blood lipid (mmol/L)

Time frame
From the beginning of enrollment to the end 6 months later
3

Fasting blood glucose (mmol/L)

Time frame
From the beginning of enrollment to the end 6 months later
4

Glycosylated hemoglobin (HbA1c)(%)

Time frame
From the beginning of enrollment to the end 6 months later

Other outcomes

Locations

This trial has no locations.

Sponsors and contacts

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