ClinicalTrials.gg
CompletedNCT04991857T-FAME-HFUpdated Apr 2, 2026

Technology-based Family-centered Empowerment Program for Heart Failure (T-FAME-HF)

An interventional study of T-FAME-HF and Control group - HF education program in Heart Failure, Telerehabilitation and Self Care, sponsored by The University of Hong Kong. Completed at 1 site in Hong Kong. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-04-02.

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

Phase
Not applicable
Study type
Interventional
Enrollment
270
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

Heart failure (HF) is a complex clinical syndrome characterized by inefficient myocardial pumping with signs of pulmonary and systemic congestion. Its progressively deteriorating trajectory punctuated by episodes of acute disease decompensation, not only compromises patients' health-related quality of life (HRQL), but also causes a hospitalization epidemic. Indeed, this clinical cohort is characterized by exceptionally high readmission rate of 25% and 50% within 4 weeks and 6 months, respectively, with ineffective self-care being as the most prominent modifiable risk factor. Effective transitional care is crucial to enhance the patient outcomes and control the economic impact. However, the concerned service in Hong Kong is rather under-developed due to the human resource burden and inadequate integration of the primary and tertiary healthcare systems. In fact, family support is of utmost important to support the HF patients in the post-discharge period. Together with the advance in E-health intervention, this study aims to evaluate the effects and cost-effectiveness of a technology-based family-centered empowerment program (T-FAME) to enhance the self-care and post-discharge outcomes of this clinical cohort.

Read the detailed description

The aim of this study is to investigate the effects of the technology-based family-centered empowerment program for heart failure (T-FAME-HF) on hospital readmission, mortality, event-free survival, HF-related self-care, family functioning and HRQL among patients admitted with HF. The study targets to recruit 270 participants in local hospitals in total.

The T-FAME-HF is a 16-week program adopts a hybrid approach to combine nurse-led home visits, an Apps, tele-care and optimized family support to enhance the post-discharge disease management, disease monitoring, and patients' access to the nurse, and telephone visits. The Program includes 3 four-week phases (1st - 4th; 5th - 8th; 9th - 12th week), which followed by 2 bi-weekly telephone visits. Each phase is designated with a specified goal of care to guide the disease management activities. Commenced with the home visit by the team nurse for each phase, patients' condition and self-care will be assessed. A goal-setting approach will be used to enhance disease monitoring, symptom recognition and response, and treatment compliance. The T-FAME Apps supports the prescribed actions for goal attainment by facilitating: i) BP and symptom monitoring with provision of corresponding health advice, ii) nurses' disease monitoring, iii) video-based training on knowledge and skills, iv) easy access to nurse through real-time chatroom, and v) weather and air quality alert. A blood pressure monitor device will be provided to support the health monitoring. After the 3rd phase, the nurse will monitor goal-attainment via tele-care.

For patients who assigned into the control group will receive a HF education program, the care dyad will receive a 16-week HF education program that comprises a home visit by another team nurse, five bi-weekly online training on self-care through videos on Whatapps/ WeChat with two subsequent telephone follow-up.

02

Conditions studied

  • Heart Failure
  • Telerehabilitation
  • Self Care
  • Empowerment
  • Disease Management

Keywords

  • Heart Failure
  • Telerehabilitation
  • Self Care
  • Empowerment
  • Disease Management
03

In context

Heart Failure

6,331 studies on the registry are indexed under Heart Failure; 1,396 are open to participants now.

This study's enrollment of 270 is above the median of 76 across 4,049 interventional studies indexed under Heart Failure.

Browse Heart Failure 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

  • Patients consecutively admitted with a primary diagnosis of HF according to the Framingham criteria will be recruited. Eligible patients will be Chinese over 18 year-old, to be discharged home and living with family, patient/ family are using Smart Phone, and be communicable with the research team.

Exclusion criteria

Exclusion Criteria:

  • Those who are awaiting revascularization, cardiac resynchronization or heart transplant, and those with end-stage renal disease relying on hemodialysis rather than HF medications, to regulate fluid volume, will be excluded.
05

Study design

Phase
Not applicable
Primary purpose
Supportive care
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
270 participants (actual)

Study arms

  • Experimental
    The technology-based family-centered empowerment program for heart failure (T-FAME-HF)

    The T-FAME-HF is a 16-week program adopts a hybrid approach to combine nurse-led home visits, an Apps, tele-care and optimized family support to enhance post-discharge disease management, disease monitoring, and patients' access to the nurse, and telephone visits. The Program includes 3 four-week phases, which followed by 2 bi-weekly telephone visits. Each phase is designated with a specified goal of care to guide the disease management activities. Commenced with the home visit by the team nurse for each phase, patients' condition and self-care will be assessed. A goal-setting approach will be used to enhance disease monitoring, symptom recognition and response, and treatment compliance. A mobile apps (T-FAME) will be installed in participants' smart-phone and supports the prescribed actions for goal attainment.

    Other: T-FAME-HF

  • Active comparator
    Control group - HF education program

    For patients assigned to the control arm will receive HF education program, the care dyad will receive a 16-week HF education program that comprises a home visit by another team nurse, five bi-weekly online training on self-care through videos on Whatapps/ WeChat with two subsequent telephone follow-up.

    Other: Control group - HF education program

Interventions

  • OtherT-FAME-HF

    16-week program adopts a hybrid approach to combine nurse-led home visits, an Apps, tele-care and optimized family support to enhance post-discharge disease management, disease monitoring, and patients' access to the nurse, and telephone visits

  • OtherControl group - HF education program

    For patients assigned to the control arm will receive HF education program, the care dyad will receive a 16-week HF education program that comprises a home visit by the team nurse, five bi-weekly online training on self-care through videos on Whatapps/ WeChat with two subsequent telephone follow-up.

06

What researchers measure

Primary outcomes

  1. Minnesota Living with Heart Failure (MLHF) questionnaire

    Measure the disease-specific health-related quality of life (HRQL). There are 21 items and each item is rated from 0 to 5, with higher scores indicating worse outcome.

    Time frame: Baseline

  2. Minnesota Living with Heart Failure (MLHF) questionnaire

    Measure the disease-specific health-related quality of life (HRQL). There are 21 items and each item is rated from 0 to 5, with higher scores indicating worse outcome.

    Time frame: 8th week

  3. Minnesota Living with Heart Failure (MLHF) questionnaire

    Measure the disease-specific health-related quality of life (HRQL). There are 21 items and each item is rated from 0 to 5, with higher scores indicating worse outcome.

    Time frame: 16th week

  4. Minnesota Living with Heart Failure (MLHF) questionnaire

    Measure the disease-specific health-related quality of life (HRQL). There are 21 items and each item is rated from 0 to 5, with higher scores indicating worse outcome.

    Time frame: 24th week

  5. Minnesota Living with Heart Failure (MLHF) questionnaire

    Measure the disease-specific health-related quality of life (HRQL). There are 21 items and each item is rated from 0 to 5, with higher scores indicating worse outcome.

    Time frame: 32th week

Secondary outcomes

  1. Self-Care Heart Failure Index (SCHFI, v.7.2)

    Measure the self-care maintenance, self-care management, and symptom perception of the HF patients. There are 28 questions are rated from 1 to 5, and one question are rated from 0 to 5. The three subscale scores are transformed to 0-100, with higher scores indicating better self-care attributes.

    Time frame: Baseline

  2. Self-Care Heart Failure Index (SCHFI, v.7.2)

    Measure the self-care maintenance, self-care management, and symptom perception of the HF patients. There are 28 questions are rated from 1 to 5, and one question are rated from 0 to 5. The three subscale scores are transformed to 0-100, with higher scores indicating better self-care attributes.

    Time frame: 8th week

  3. Self-Care Heart Failure Index (SCHFI, v.7.2)

    Measure the self-care maintenance, self-care management, and symptom perception of the HF patients. There are 28 questions are rated from 1 to 5, and one question are rated from 0 to 5. The three subscale scores are transformed to 0-100, with higher scores indicating better self-care attributes.

    Time frame: 16th week

  4. Self-Care Heart Failure Index (SCHFI, v.7.2)

    Measure the self-care maintenance, self-care management, and symptom perception of the HF patients. There are 28 questions are rated from 1 to 5, and one question are rated from 0 to 5. The three subscale scores are transformed to 0-100, with higher scores indicating better self-care attributes.

    Time frame: 24th week

  5. Self-Care Heart Failure Index (SCHFI, v.7.2)

    Measure the self-care maintenance, self-care management, and symptom perception of the HF patients. There are 28 questions are rated from 1 to 5, and one question are rated from 0 to 5. The three subscale scores are transformed to 0-100, with higher scores indicating better self-care attributes.

    Time frame: 32th week

  6. Self-Care Self-Efficacy Scale (SCSE)

    Evaluate the confidence level of patients with chronic disease on their self-care self-efficacy. There are 10 items and each item is rated from 1 (not confident) to 5 (extremely confident), with higher scores indicating better self-care attributes.

    Time frame: Baseline

  7. Self-Care Self-Efficacy Scale (SCSE)

    Evaluate the confidence level of patients with chronic disease on their self-care self-efficacy. There are 10 items and each item is rated from 1 (not confident) to 5 (extremely confident), with higher scores indicating better self-care attributes.

    Time frame: 8th week

  8. Self-Care Self-Efficacy Scale (SCSE)

    Evaluate the confidence level of patients with chronic disease on their self-care self-efficacy. There are 10 items and each item is rated from 1 (not confident) to 5 (extremely confident), with higher scores indicating better self-care attributes.

    Time frame: 16th week

  9. Self-Care Self-Efficacy Scale (SCSE)

    Evaluate the confidence level of patients with chronic disease on their self-care self-efficacy. There are 10 items and each item is rated from 1 (not confident) to 5 (extremely confident), with higher scores indicating better self-care attributes.

    Time frame: 24th week

  10. Self-Care Self-Efficacy Scale (SCSE)

    Evaluate the confidence level of patients with chronic disease on their self-care self-efficacy. There are 10 items and each item is rated from 1 (not confident) to 5 (extremely confident), with higher scores indicating better self-care attributes.

    Time frame: 32th week

  11. The EuroQoL-5-D instruments

    Assess the health-related quality of life of the care dyads and to generate the utility score for cost-effective analysis. It consists of two parts, with the first part to assess the health status on mobility, self-care, usual activities, pain/discomfort, and anxiety/depression using a 5-level (no problems, slight problems , moderate problems, severe problems and unable to) response set, with "unable to" levels mean a worse situation. The second part as a 0-100 scores VAS to measure perceived health, higher scores mean a better outcome.

    Time frame: Baseline

  12. The EuroQoL-5-D instruments

    Assess the health-related quality of life of the care dyads and to generate the utility score for cost-effective analysis. It consists of two parts, with the first part to assess the health status on mobility, self-care, usual activities, pain/discomfort, and anxiety/depression using a 5-level (1 to 5) response set, with higher levels mean a worse situation. The second part as a 0-100 scores VAS to measure perceived health, higher scores mean a better outcome.

    Time frame: 8th week

  13. The EuroQoL-5-D instruments

    Assess the health-related quality of life of the care dyads and to generate the utility score for cost-effective analysis. It consists of two parts, with the first part to assess the health status on mobility, self-care, usual activities, pain/discomfort, and anxiety/depression using a 5-level (no problems, slight problems , moderate problems, severe problems and unable to) response set, with "unable to" levels mean a worse situation. The second part as a 0-100 scores VAS to measure perceived health, higher scores mean a better outcome.

    Time frame: 16th week

  14. The EuroQoL-5-D instruments

    Assess the health-related quality of life of the care dyads and to generate the utility score for cost-effective analysis. It consists of two parts, with the first part to assess the health status on mobility, self-care, usual activities, pain/discomfort, and anxiety/depression using a 5-level (no problems, slight problems , moderate problems, severe problems and unable to) response set, with "unable to" levels mean a worse situation. The second part as a 0-100 scores VAS to measure perceived health, higher scores mean a better outcome.

    Time frame: 24th week

  15. The EuroQoL-5-D instruments

    Assess the health-related quality of life of the care dyads and to generate the utility score for cost-effective analysis. It consists of two parts, with the first part to assess the health status on mobility, self-care, usual activities, pain/discomfort, and anxiety/depression using a 5-level (no problems, slight problems , moderate problems, severe problems and unable to) response set, with "unable to" levels mean a worse situation. The second part as a 0-100 scores VAS to measure perceived health, higher scores mean a better outcome.

    Time frame: 32th week

  16. Family Assessment Device Questionnaire - Global Family Function Subscale

    Measure the patients' perception of the overall function of the family in supporting the disease management. Each item is rated from one to four (strongly agree, agree, disagree and strongly disagree), higher scores mean a worse outcome.

    Time frame: Baseline

  17. Family Assessment Device Questionnaire - Global Family Function Subscale

    Measure the patients' perception of the overall function of the family in supporting the disease management. Each item is rated from one to four (strongly agree, agree, disagree and strongly disagree), higher scores mean a worse outcome.

    Time frame: 8th week

  18. Family Assessment Device Questionnaire - Global Family Function Subscale

    Measure the patients' perception of the overall function of the family in supporting the disease management. Each item is rated from one to four (strongly agree, agree, disagree and strongly disagree), higher scores mean a worse outcome.

    Time frame: 16th week

  19. Family Assessment Device Questionnaire - Global Family Function Subscale

    Measure the patients' perception of the overall function of the family in supporting the disease management. Each item is rated from one to four (strongly agree, agree, disagree and strongly disagree), higher scores mean a worse outcome.

    Time frame: 24th week

  20. Family Assessment Device Questionnaire - Global Family Function Subscale

    Measure the patients' perception of the overall function of the family in supporting the disease management. Each item is rated from one to four (strongly agree, agree, disagree and strongly disagree), higher scores mean a worse outcome.

    Time frame: 32th week

07

Study locations

1 site
  • Department of Medicine, PoK Oi Hospital
    Hong Kong, Hong Kong
08

References and documents

Publications

  • Murray SA, Kendall M, Boyd K, Sheikh A. Illness trajectories and palliative care. BMJ. 2005 Apr 30;330(7498):1007-11. doi: 10.1136/bmj.330.7498.1007. No abstract available. PubMed 15860828 ↗
  • Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE Jr, Drazner MH, Fonarow GC, Geraci SA, Horwich T, Januzzi JL, Johnson MR, Kasper EK, Levy WC, Masoudi FA, McBride PE, McMurray JJ, Mitchell JE, Peterson PN, Riegel B, Sam F, Stevenson LW, Tang WH, Tsai EJ, Wilkoff BL; American College of Cardiology Foundation; American Heart Association Task Force on Practice Guidelines. 2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2013 Oct 15;62(16):e147-239. doi: 10.1016/j.jacc.2013.05.019. Epub 2013 Jun 5. No abstract available. PubMed 23747642 ↗
  • Coleman EA, Boult C; American Geriatrics Society Health Care Systems Committee. Improving the quality of transitional care for persons with complex care needs. J Am Geriatr Soc. 2003 Apr;51(4):556-7. doi: 10.1046/j.1532-5415.2003.51186.x. No abstract available. PubMed 12657079 ↗
  • Vedel I, Khanassov V. Transitional Care for Patients With Congestive Heart Failure: A Systematic Review and Meta-Analysis. Ann Fam Med. 2015 Nov;13(6):562-71. doi: 10.1370/afm.1844. PubMed 26553896 ↗
  • Stamp KD, Prasun M, Lee CS, Jaarsma T, Piano MR, Albert NM. Nursing research in heart failure care: a position statement of the american association of heart failure nurses (AAHFN). Heart Lung. 2018 Mar-Apr;47(2):169-175. doi: 10.1016/j.hrtlng.2018.01.003. Epub 2018 Feb 15. PubMed 29397988 ↗
  • Griffiths SM, Lee JP. Developing primary care in Hong Kong: evidence into practice and the development of reference frameworks. Hong Kong Med J. 2012 Oct;18(5):429-34. PubMed 23018072 ↗
  • Smith J, Ali P, Birks Y, Curtis P, Fairbrother H, Kirk S, Saltiel D, Thompson J, Swallow V. Umbrella review of family-focused care interventions supporting families where a family member has a long-term condition. J Adv Nurs. 2020 Aug;76(8):1911-1923. doi: 10.1111/jan.14367. Epub 2020 Apr 15. PubMed 32215957 ↗
  • Deek H, Hamilton S, Brown N, Inglis SC, Digiacomo M, Newton PJ, Noureddine S, MacDonald PS, Davidson PM; FAMILY Project Investigators. Family-centred approaches to healthcare interventions in chronic diseases in adults: a quantitative systematic review. J Adv Nurs. 2016 May;72(5):968-79. doi: 10.1111/jan.12885. Epub 2016 Jan 10. PubMed 26751971 ↗
  • Ostergaard B, Mahrer-Imhof R, Wagner L, Barington T, Videbaek L, Lauridsen J. Effect of family nursing therapeutic conversations on health-related quality of life, self-care and depression among outpatients with heart failure: A randomized multi-centre trial. Patient Educ Couns. 2018 Aug;101(8):1385-1393. doi: 10.1016/j.pec.2018.03.006. Epub 2018 Mar 7. PubMed 29567335 ↗
  • Ho KK, Anderson KM, Kannel WB, Grossman W, Levy D. Survival after the onset of congestive heart failure in Framingham Heart Study subjects. Circulation. 1993 Jul;88(1):107-15. doi: 10.1161/01.cir.88.1.107. PubMed 8319323 ↗
  • Yu DS, Lee DT, Stewart S, Thompson DR, Choi KC, Yu CM. Effect of Nurse-Implemented Transitional Care for Chinese Individuals with Chronic Heart Failure in Hong Kong: A Randomized Controlled Trial. J Am Geriatr Soc. 2015 Aug;63(8):1583-93. doi: 10.1111/jgs.13533. PubMed 26289684 ↗
  • Riegel B, Barbaranelli C, Carlson B, Sethares KA, Daus M, Moser DK, Miller J, Osokpo OH, Lee S, Brown S, Vellone E. Psychometric Testing of the Revised Self-Care of Heart Failure Index. J Cardiovasc Nurs. 2019 Mar/Apr;34(2):183-192. doi: 10.1097/JCN.0000000000000543. PubMed 30303894 ↗
  • Yu DS, De Maria M, Barbaranelli C, Vellone E, Matarese M, Ausili D, Rejane RE, Osokpo OH, Riegel B. Cross-cultural applicability of the Self-Care Self-Efficacy Scale in a multi-national study. J Adv Nurs. 2021 Feb;77(2):681-692. doi: 10.1111/jan.14617. Epub 2020 Dec 9. PubMed 33295675 ↗
  • Riegel B, Lee CS, Dickson VV, Carlson B. An update on the self-care of heart failure index. J Cardiovasc Nurs. 2009 Nov-Dec;24(6):485-97. doi: 10.1097/JCN.0b013e3181b4baa0. PubMed 19786884 ↗
  • Yu DSF, Li PWC, Yue SCS, Wong J, Yan B, Tsang KK, Choi KC. The effects and cost-effectiveness of an empowerment-based self-care programme in patients with chronic heart failure: A study protocol. J Adv Nurs. 2019 Dec;75(12):3740-3748. doi: 10.1111/jan.14162. Epub 2019 Aug 27. PubMed 31350765 ↗
  • Ho CC, Clochesy JM, Madigan E, Liu CC. Psychometric evaluation of the Chinese version of the Minnesota Living with Heart Failure Questionnaire. Nurs Res. 2007 Nov-Dec;56(6):441-8. doi: 10.1097/01.NNR.0000299849.21935.c4. PubMed 18004191 ↗
  • Buchholz I, Janssen MF, Kohlmann T, Feng YS. A Systematic Review of Studies Comparing the Measurement Properties of the Three-Level and Five-Level Versions of the EQ-5D. Pharmacoeconomics. 2018 Jun;36(6):645-661. doi: 10.1007/s40273-018-0642-5. PubMed 29572719 ↗
  • Cheung PWH, Wong CKH, Samartzis D, Luk KDK, Lam CLK, Cheung KMC, Cheung JPY. Psychometric validation of the EuroQoL 5-Dimension 5-Level (EQ-5D-5L) in Chinese patients with adolescent idiopathic scoliosis. Scoliosis Spinal Disord. 2016 Aug 4;11:19. doi: 10.1186/s13013-016-0083-x. eCollection 2016. PubMed 27525314 ↗
  • Stamp KD, Dunbar SB, Clark PC, Reilly CM, Gary RA, Higgins M, Ryan RM. Family partner intervention influences self-care confidence and treatment self-regulation in patients with heart failure. Eur J Cardiovasc Nurs. 2016 Aug;15(5):317-27. doi: 10.1177/1474515115572047. Epub 2015 Feb 11. PubMed 25673525 ↗
  • Chen S, Zheng S, Wang X, Zhang X, Fa T, Fu L, Zang X, Zhao Y. Linguistic and Psychometric Validation of the Chinese Version of the Control Attitudes Scale-Revised in Patients With Chronic Heart Failure. J Cardiovasc Nurs. 2021 Jul-Aug 01;36(4):349-356. doi: 10.1097/JCN.0000000000000705. PubMed 32472800 ↗
  • Zou G. A modified poisson regression approach to prospective studies with binary data. Am J Epidemiol. 2004 Apr 1;159(7):702-6. doi: 10.1093/aje/kwh090. PubMed 15033648 ↗
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Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: No — Only study investigators and research assistants involved in the study will have access to the data.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Apr 2, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT04991857
Collaborators
Hospital Authority, Hong Kong
Responsible party
Prof. Yu, Doris Sau Fung (Professor, The University of Hong Kong) — Principal investigator
First posted
Aug 5, 2021
Start date
Sep 19, 2021
Primary completion
Aug 30, 2025
Completion
Feb 28, 2026
Last update
Apr 2, 2026

Study contacts

Doris Sau Fung YU, PhD
principal investigator · The University of Hong Kong

Oversight

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

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