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Not yet recruitingNCT07929259Updated Nov 10, 2026

A Nurse-led Structured Risk Factor Management Programme to Improve Quality of Life for Patients With Atrial Fibrillation

An interventional study of A nurse-led, structured risk factor management programme for AF patients in Atrial Fibrillation (AF), Health Behaviour Change and Quality of Life, sponsored by The University of Hong Kong. Not yet recruiting at 1 site in Hong Kong. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-11-10.

Sponsored by The University of Hong Kong · Not applicable, Interventional, and Prevention

Updated Nov 10, 2026Newly registeredGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
160
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

The goal of this clinical trial is to evaluate the effects of a nurse-led, structured risk factor management programme on health-related quality of life, symptom burden and cardiovascular health in adults with atrial fibrillation (AF).

AF is the most common heart rhythm disorder. It increase the risk of stroke, heart failure, and death. Its symptoms, including palpitation, fatigue, and breathlessness, often limit daily activities and reduce quality of life, even in patients receiving treatment to control heart rhythm or rate. in the proposed nurse-led program, the cardiac nurse will teach AF patients how to manage health habits that affect AF, including eating well, staying active, sleeping well, not smoking, drinking less alcohol, and taking medicines as prescribed. A nurse works with each person to set small, realistic goals.

The main questions it aims to answer are:

  1. Does the programme improve health-related quality of life for AF patients?
  2. Does the programme improve symptom burden for AF patients?
  3. Does the programme improve the functional exercise capacity for AF patients?
  4. Does the programme increase the reported self-efficacy level for participants?
  5. Does the programme improve the health behaviours, physiological risk parameters and cardiovascular health score for participants?

Researcher will compare interventional group (80 AF participants joining the 12-week program in addition to usual care) to a control group (80 AF participants receive usual care only) to see if the program works to improve the quality of life, symptom burden and overall cardiovascular health than usual care alone among AF patients.

Participants in the intervention group will:

  1. Receive a 1-hour face-to-face individual session with nurse for structured AF self-management education and personalized behavioural change planning in week 1
  2. Keep track of their own health behaviours using a self-management booklet
  3. Get 6 bi-weekly telephone follow-up calls from the nurse to review progress and support staged behavioural change
  4. Receive weekly tailored text messages with reminders and encouragement

The study will take place at three hospitals in Hong Kong and will enrol about 160 adults. Each person will take part for about 5 months. Researchers will evaluate outcome (quality of life, AF symptom severity, functional exercise capacity, self-efficacy, health behaviours, body mass index, blood pressure, blood cholesterol, blood sugar, Life Essential 8 score) at three timepoint: baseline, upon completion of the programme (12 week), and 8 weeks thereafter (20 week).

Read the detailed description

Atrial fibrillation (AF) is the most common sustained heart rhythm disorder. It increase the risk of stroke, heart failure, and death. Its symptoms, including palpitation, fatigue, and breathlessness, often limit daily activities and reduce quality of life, even in patients receiving treatment to control heart rhythm or rate. Comorbidity and risk factor contribute to the onset and progression of AF. International guidelines now recommend managing comorbidity and risk factors as a core pillar of AF care. However, translation into routine practice remains sub-optimal, characterized by brief, unstructured lifestyle counselling. This study is an assessor-blinded, parallel-group randomised controlled trial aiming to evaluate the effects of a nurse-led, structured risk factor management program on health-related quality of life, symptom burden, and cardiovascular health in AF patients, thereby informing secondary prevention of AF.

This study will be conducted in the specialist outpatient clinics of the cardiac units of three regional hospitals in Hong Kong. Eligible participants are adults aged ≥18 years who are (1) referred for management of symptomatic AF at the specialist outpatient clinic, (2) community-dwelling, (3) in possession of a smartphone, and (4) with at least one risk factor (hypertension, diabetes mellitus; BMI ≥23kg/m2; waist circumference ≥100cm for males or ≥90cm for females; dyslipidaemia; obstructive sleep apnoea; active smoking; alcohol use >3 standard drinks per week; and physical inactivity ). The sample size was estimated for the primary outcome of HRQoL at T1. Informed by two comparable nurse-led behavioural interventions and anticipating a medium effect, 64 participants per arm are required to detect an effect size of 0.5 with 80% power at a two-sided 5% significance level (G*Power 3.1.9.7). Applying a pooled baseline standard deviation of 18.6 points reported in a comparable Hong Kong AF population, this detects a between-group difference of 9.3 points on the primary HRQoL instrument, exceeding the 5-point minimal clinically important difference. Allowing for 20% attrition, 160 participants (80 per group) will be recruited. Participants will be randomly allocated in a 1:1 ratio to the intervention group (12-week nurse-led risk factor management programme in addition to usual care) or control group (usual care only).

Evaluation outcomes will be measured at baseline (T0), 12 weeks (T1), and 20 weeks (T2) thereafter. The primary outcome is health-related quality of life. Secondary outcomes include AF symptom severity, functional exercise capacity (distance walked in 6 minutes), self-efficacy, health behaviours (diet, physical activity, smoking status, sleep duration, alcohol consumption, and medication adherence), physiological parameters (body mass index, blood pressure, fasting lipid profile and fasting blood glucose), and overall cardiovascular health measured by the American Heart Association's Life Essential 8 score.

After double data entry, outcome analyses will be performed on an intention-to-treat basis. Normality of continuous variables will be assessed using the Shapiro-Wilk test to guide the choice between parametric and non-parametric methods. Baseline characteristics will be summarised as mean ± SD or median (IQR) for continuous variables and as frequencies and percentages for categorical variables, with baseline between-group homogeneity assessed using the independent t-test, chi-square test, or Mann-Whitney U test as appropriate. Primary analyses will employ generalised estimating equations (GEE) to examine between-group change across T0, T1, and T2, incorporating group and time as interaction terms and adjusting for a priori covariates (age, sex, AF type, AF duration, left atrial size, and left ventricular ejection fraction). Analyses will use IBM SPSS version 29.0, with a two-sided p-value \< 0.05 considered statistically significant.

02

Conditions studied

  • Atrial Fibrillation (AF)
  • Health Behaviour Change
  • Quality of Life

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Keywords

  • Atrial Fibrillation
  • Risk Factor Management
  • Lifestyle Intervention
  • Health Behavior Change Program
  • Secondary Prevention
  • Quality of Life
03

In context

Atrial Fibrillation

4,009 studies on the registry are indexed under Atrial Fibrillation; 961 are open to participants now.

This study's planned enrollment of 160 is close to the median of 150 across 2,476 interventional studies indexed under Atrial Fibrillation.

Browse Atrial Fibrillation studies →

Lead sponsor

The University of Hong Kong is the lead sponsor of 1,292 studies on the registry; 348 are open to participants now.

Of its 9 completed or terminated interventional studies of FDA-regulated products, 0 (0%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  1. Chinese adults aged ≥18 years who are referring for management of symptomatic paroxysmal or persistent AF at the specialist outpatient clinics
  2. Community-dwelling
  3. Possessed a smartphone
  4. Has the presence of at least one of the following risk factors: hypertension, diabetes mellitus; ≥23kg/m2; waist circumference ≥100cm for males or ≥90cm for females; dyslipidaemia; obstructive sleep apnoea; active smoking; alcohol use >3 standard drinks per week; and physical inactivity (i.e. \<150 minutes of moderate-to-vigorous physical activity per week, or an average of \<8000 steps per day)

Exclusion criteria

Exclusion Criteria:

  1. Cannot understanding Cantonese or reading Chinese,
  2. Has impaired communication
  3. Has psychiatric problems
  4. Has cognitive impairment (i.e. Abbreviated Mental Test ≤6)
  5. Has severe co-existing medical conditions (e.g. terminal illness).
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
160 participants (estimated)

Study arms

  • Experimental
    Intervention group

    The participants in the intervention group will receive a 12-week, structured, nurse-led risk factor management program for AF, in addition to the usual care at the study hospital.

    Behavioral: A nurse-led, structured risk factor management programme for AF patients

  • No intervention
    Control group

    The participants in the control group will receive the usual care provided by study hospital, comprising physician consultations and medication prescription at routine follow-up, without a structured risk factor management programme.

Interventions

  • BehavioralA nurse-led, structured risk factor management programme for AF patients

    This program, grounded in the Information-Motivation-Behavioral Skills model and Social Cognitive Theory, is designed to improve AF self-management and support sustained modification of behavioral risk factors . Delivered by a registered nurse with cardiac specialty, this program comprises 4 components: 1. A 60-minute face-to-face individual session delivered in week 1 for risk profile assessment, AF self-management education, and personalized behavioral change planning 2. Self-monitoring via self-management booklet, checklist, or smartphone step tracking according to participants' preference and capability, with progress reviewed at each contact 3. 6 bi-weekly telephone follow-up calls (Weeks 2, 4, 6, 8, 10, 12) on stages of behavioral change: behavioral initiation, early problem-solving, behavioral consolidation, behavioral maintenance, relapse prevention and transition to self-management 4. Weekly text messages sustaining participant's engagement with agreed behavioral goals.

06

What researchers measure

Primary outcomes

  1. Health-related quality of life assessed by Atrial Fibrillation Effect on Quality-of-Life (AFEQT)

    The 20-item AFEQT will be used to measure disease-specific health-related quality of life across four subscales: symptoms, daily activities, treatment concerns and treatment satisfaction. Each item is rated on a 7-point Likert scale. Raw scores are transformed to a 0-100 scale, with higher scores indicating better health status.

    Time frame: At baseline, 12 weeks and 20 weeks

Secondary outcomes

  1. AF symptom severity assessed by Atrial Fibrillation Severity Scale (AFSS)

    The 19-item AFSS will be used to assess patient-perceived AF symptom burden and severity. The instrument comprises two items on demographic characteristics, five items on AF disease burden (the frequency, overall severity and duration of symptomatic AF episodes), one item on global well-being, four items on AF-related healthcare utilization, and seven items on AF symptom severity. The seven AF symptom severity items are rated on a five-point Likert scale, yielding a total AFSS severity score ranging from 0 to 35, with higher scores indicating more severe symptoms.

    Time frame: At baseline, 12 weeks and 20 weeks

  2. Functional exercise capacity assessed by 6-minute Walk Test

    The total distance walked in 6-minute walk test will be used to measure functional exercise capacity. Participants will be instructed to walk at their own pace along an uninterrupted 30-m corridor for 6 minutes with continuous heart rate monitoring. A longer distance indicates better functional exercise capacity.

    Time frame: At baseline, 12 weeks and 20 weeks

  3. Self-efficacy assessed by General Self-Efficacy Scale (GSE)

    A 10-item GSE will be used to measure individual's perceived capability to cope with stressful or challenging situations. This scale was commonly used to predict individual's behaviour, goal intentions and self-regulatory commitments, which are central in health promotion. Each item on a 4-point Likert scale and summed, with higher score indicating greater self-efficacy.

    Time frame: At baseline, 12 weeks and 20 weeks

  4. Health behaviour: Dietary pattern assessed by Mediterranean Diet Scale (MDS) Questionnaire

    A 13-item MDS Questionnaire will be used to assess self-reported adherence to Mediterranean dietary pattern. Each item is rated dichotomously (yes/ no) and summed, with higher score indicating greater adherence.

    Time frame: At baseline, 12 weeks and 20 weeks

  5. Health behaviour: Physical activity level assessed by International Physical Activity Questionnaire-short form (IPAQ-SF)

    The 7-item IPAQ-SF will be used to measure self-reported physical activity over the past week across four domains: vigorous activities, moderate activities, walking and sitting.68 Scores are expressed in metabolic equivalent of task (MET)-minutes per week, where higher values indicate higher energy expenditure.

    Time frame: At baseline, 12 weeks and 20 weeks

  6. Health behaviour: Smoking status

    Smoking status will be assessed by self-reporting cigarette use

    Time frame: At baseline, 12 weeks and 20 weeks

  7. Health behaviour: Sleep duration

    Sleep duration will be assessed by self-reporting average hours of sleep per night

    Time frame: At baseline, 12 weeks and 20 weeks

  8. Health behaviour: Alcohol consumption level assessed by Alcohol Use Disorders Identification Test- Concise (AUDIT-C)

    The 3-item AUDIT-C, a concise version of AUDIT, will be used to assess self-reported alcohol use across frequency of use, quantity of use, and frequency of health drinking. Each item is scored from 0 to 4 points, yielding a total score 0-12 with higher scores indicating greater alcohol use.

    Time frame: At baseline, 12 weeks and 20 weeks

  9. Health behaviour: Medication adherence assessed by Medication Adherence Report Scale (MARS-5)

    The 5-item MARS-5 will be used to assess self-reported unintentional and intentional medication adherence. Each item is rated on a 5-point Likert scale and summed, with higher score indicating better adherence.

    Time frame: At baseline, 12 weeks and 20 weeks

  10. Physiological risk parameter: Body mass index

    Body mass index will be calculated as dividing body weight (kilogram) by body height (meter) squared . Body weight and height are measured by a calibrated scale and stadiometer respectively.

    Time frame: At baseline, 12 weeks and 20 weeks

  11. Physiological risk parameter: Systolic and diastolic blood pressure

    Systolic and diastolic blood pressure will be measured using a digital automatic blood pressure monitor with an appropriate size cuff. Participants will be asked to relax and sit quietly for 3-5 minutes before the blood pressure measurement. They will be seated with their arm supported at heart level for the measurement.

    Time frame: At baseline, 12 weeks and 20 weeks

  12. Physiological risk parameter: Fasting blood glucose

    A fasting blood glucose will be assessed by a validated point-of-care device (BioHermes GluCoA1c) using a capillary blood sample obtained from a finger stick after 8 hours of fasting.

    Time frame: At baseline, 12 weeks and 20 weeks

  13. Physiological risk parameter: Fasting lipid profile

    A portable point-of-care analyser (VivaDiag Lipid Testing System) will be used to measure circulating cholesterol (total cholesterol, low-density lipoprotein \[LDL\], high-density lipoprotein \[HDL\], triglycerides \[TG\]). Approximately 10uL of capillary blood sample will be collected at each measurement.

    Time frame: At baseline, 12 weeks and 20 weeks

  14. Life's Essential 8 (LE8) Composite Score

    LE8 is a cardiovascular health score. It comprises 8 components: diet (MDS score) , physical activity (minute of moderate-intensity activity per week), nicotine exposure (self-reported use of cigarettes), sleep health (average hours of sleep per night), body mass index (kilogram/ meter\^2), blood lipids (non-HDL cholesterol), blood glucose (fasting blood glucose or HbA1c for diabetes) and blood pressure (systolic and diastolic blood pressure). Each LE8 components are scored on a scale of 0 to 100 points, allowing generation of a composite cardiovascular health score which is the unweighted average of all components. Total scores range from 0 to 100 points. Higher scores correspond to better cardiovascular health.

    Time frame: At baseline, 12 weeks and 20 weeks

07

Study locations

1 site
  • Princess Margaret Hospital, Prince of Wales Hospital and Tuen Mun Hospital
    Hong Kong, Hong Kong
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

1 registry update since Sep 25, 2026
Registered
First appeared on the registry. No changes since
Nov 10, 2026
Show all 1 update
  1. Nov 10, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07929259
Responsible party
Chan Wai Ping (Miss Chan Wai Ping, The University of Hong Kong) — Principal investigator
First posted
Nov 10, 2026
Start date
Nov 16, 2026 (estimated)
Primary completion
Feb 2028 (estimated)
Completion
Feb 2028 (estimated)
Last update
Nov 10, 2026

Study contacts

Kimmy Wai Ping Chan
Contact
kimmycwp10@connect.hku.hk
+852 55369048

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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