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mHealth-supported Coach

A Multidisciplinary-led Personalised mHealth-supported Coach for Reducing Midlife Stroke Risk

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05422729
Enrollment
164
Registered
2022-06-16
Start date
2022-09-05
Completion date
2024-09-04
Last updated
2023-08-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Heart Disease Risk Factors

Keywords

Primary Health Care

Brief summary

A randomised controlled trial to evaluate the effects of a personalised mHealth-supported coach programme in the middle-aged group with stroke risk.

Detailed description

Aim: To evaluate the effects of a personalised mHealth-supported coach programme on the adoption of health-promoting behaviours in the middle-aged group, in comparison with usual care. Design: A 24-month prospective two-arm, parallel-group, single-blinded, repeated-measure randomised controlled trial will be conducted. Participants: People who aged between 40 and 64, mentally competent, have a non-laboratory INTERHEART risk score (IHRS) of 10 or higher, communicable in Chinese and free from stroke and transient ischemic attack (TIA) or other cardiovascular disease will be eligible to the study. A total of 164 participants will be recruited through a district community centre and randomly assigned on 1:1 ratio to the intervention group or the control group. Intervention: A theory-based mHealth-supported coach programme, including individual consultation sessions and a mobile application with a virtual sharing platform, is developed by a multidisciplinary team for the intervention group over three months, whereas the control group receives usual care.

Interventions

BEHAVIORALmHealth-supported coaching

The intervention includes two components. Three individual consultation sessions based on a health coaching protocol developed by a multidisciplinary team. A mobile application provides educational information about healthy lifestyles, knowledge quizzes, telemonitoring function and virtual platform for sharing.

BEHAVIORALConventional Health coaching

Three individual consultation sessions delivered by a nurse.

Sponsors

Food and Health Bureau, Hong Kong
Lead SponsorOTHER_GOV

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
40 Years to 64 Years
Healthy volunteers
No

Inclusion criteria

* Chinese ethnic * able to read Chinese and communicate in Cantonese/Mandarin * with non-laboratory IHRS score 10 or higher

Exclusion criteria

* mentally incompetent * previously diagnosed with stroke, TIA, MI, coronary heart disease, heart failure or atrial fibrillation * with eye or retinal disease * with terminal disease with an expected life expectancy less than six months * being pregnant * have enrolled in other lifestyle-based or exercise-based projects * do have mobile devices or internet service to access the mobile application

Design outcomes

Primary

MeasureTime frameDescription
Health-promoting behaviours3-month post-allocationFour subscales, including health responsibility, nutrition, physical activity and stress management, of the Health Promoting Lifestyle Profile II. The possible score range from 34 to 136, with a higher score meaning healthier lifestyles were adopted.

Secondary

MeasureTime frameDescription
Self-efficacy6-month post-allocationThe adapted version of the Diabetes Mellitus Type II Self Efficacy Scale will be used. Participants will rate their level of confidence in various behaviours, in diet control, weight control and lifestyle management, by using a five-point Likert scale. The possible scores ranged from 7 to 35, with a higher score meaning a higher level of self-efficacy.
INTERHEART risk score3-month post-allocationThe score was calculated based on the weighted sum of nine risk factors, including age, sex, lifestyles and psychosocial wellbeing, which were significantly related to cardiovasuclar diseases. The possible score range was 0 - 48, in which a higher score corresponds to higher risk.
automatic retinal image analysis3-month post-allocationRetinal fundus image will be obtained from both eyes of the participant using a non-mydriatic digital retinal camera (Canon CR-2 AF, U.S.A., Inc). Stroke risk estimation will be determined through fractural analysis, statistical texture analysis and high-order spectra analysis based on the retinal vessel parameters. The ARIA-stroke algorithm developed using R and Matlab software has a sensitivity and a specificity of 94.7% and 100%, respectively. The value between 0.5 and 0.7 is considered as moderate risk, while high risk is considered at 0.7 or higher.
automatic retinal image analysis (ARIA)6-month post-allocationRetinal fundus image will be obtained from both eyes of the participant using a non-mydriatic digital retinal camera (Canon CR-2 AF, U.S.A., Inc). Stroke risk estimation will be determined through fractural analysis, statistical texture analysis and high-order spectra analysis based on the retinal vessel parameters. The ARIA-stroke algorithm developed using R and Matlab software has a sensitivity and a specificity of 94.7% and 100%, respectively. The value between 0.5 and 0.7 is considered as moderate risk, while high risk is considered at 0.7 or higher.
Psychological distress3-month post-allocationThe Depression Anxiety Stress Scale (DASS-21)includes 21 items, with 7 in each subscale: depression, anxiety and stress. Participants will rate their level of agreement with the statements on a 4-point Likert scale, from 0 (not apply to me at all) to 3 (applied to me very much). The potential scores range from 0 to 63, with a higher score means higher level of distress experienced.
Self-efficacy of adopting health-promoting behaviours3-month post-allocationThe adapted version of the Diabetes Mellitus Type II Self Efficacy Scale will be used. Participants will rate their level of confidence in various behaviours, in diet control, weight control and lifestyle management, by using a five-point Likert scale. The possible scores ranged from 7 to 35, with a higher score meaning a higher level of self-efficacy.
Change in Body mass index (BMI)Between baseline and 3-month post-allocationBMI will be calculated by dividing the weight (in kilogram) by the height (in meter) squared. The height will be measured using a stadiometer, and body weight will be measured using an electronic scale.
Change in Body mass index(BMI)Between 3-month and 6-month post-allocationBMI will be calculated by dividing the weight (in kilogram) by the height (in meter) squared. The height will be measured using a stadiometer, and body weight will be measured using an electronic scale.
Change in Waist-hip ratio (WHR)Between baseline and 3-month post-allocationWHR will be used for determining body fat distribution. Waist circumference will be measured at the mid-point between the lowest rib and the iliac crest, whereas hip circumference will be measured at the widest level over the great trochanters. The two measurements will be measured to the nearest 0.1 cm by using a measuring tape.
Change in Fasting blood glucoseBetween baseline and 3-month post-allocationBlood samples will be taken by an experienced nurse and sent to accredited commercial biochemistry laboratories for analysis.
Change in Blood lipid profileBetween baseline and 3-month post-allocationThe profile includes ncluding triglyceride, total Cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C). Blood samples will be taken by an experienced nurse and sent to accredited commercial biochemistry laboratories for analysis.
Change in Blood pressureBetween baseline and 3-month post-allocationBlood pressure measurement will be carried out, after 10 min of rest, on the left arm in a sitting posture by using an electronic sphygmomanometer.

Countries

Hong Kong

Contacts

Primary ContactHelen Y Chan, Ph.D
helencyl@cuhk.edu.hk+85239438099

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026