- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07490470
Nurse-Led mHealth for Vulnerable-Phase Heart Failure
A Nurse-Led, Multidisciplinary mHealth Program to Manage Heart Failure During the Vulnerable Post-Discharge Period
Heart failure is a serious condition where the heart cannot pump blood as well as it should. After being discharged from the hospital, patients with heart failure are at high risk for readmission, especially in the first three months. This period is called the "vulnerable phase." Standard care often involves follow-up visits, but patients may struggle to manage their health at home.
This study tested a new approach to care. The program is led by a nurse and uses a mobile health (mHealth) application on a smartphone. The app helps patients manage their health by providing daily medication reminders, tracking their weight and symptoms, and offering educational information. A team of doctors, pharmacists, and nurses work together to monitor patient data through the app. If any concerning signs appear, the team discusses the case and provides timely guidance to the patient.
The study enrolled 100 patients with heart failure. Half of them received this nurse-led, app-based program in addition to their regular follow-up care. The other half received only the regular follow-up care. We measured how well patients managed their own care, how they felt (their symptoms), and key health indicators like heart function and a blood marker called NT-proBNP. We compared the two groups after three months.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Beijing Municipality
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Beijing, Beijing Municipality, China, 100034
- Peking University First Hospital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
(1) meeting the diagnostic criteria for heart failure according to the 2024 Chinese guidelines for heart failure diagnosis and treatment; (2) ability to participate in heart failure follow-up management at the outpatient clinic; (3) left ventricular ejection fraction ≤ 50%; (4) age ≤ 80 years; (5) proficiency in smartphone use by either the patient or their caregiver; and (6) adequate reading comprehension and verbal communication skills.
Exclusion Criteria:
(1) had other life-threatening conditions (e.g., malignancy, end-stage renal disease); or (2) exhibited severe physical impairment.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
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Experimental: Nurse-Led mHealth Multidisciplinary Management
|
The intervention group received a nurse-led, multidisciplinary program via the Cardiovascular Home Care APP, in addition to conventional follow-up care. Team: 4 physicians, 4 nurses, and APP use. 1.Pre-discharge APP training: daily tasks, report upload, online consultation. APP automatically linked to patient information upon discharge.2.Nurse-created plans: medication schedules, self-monitoring (BP/heart rate/weight/symptoms), follow-up appointments, with reminders.3.Regular tailored education via APP (trigger avoidance, risk control, sodium/fluid restriction, symptom recognition, exercise).4.Daily nurse monitoring via backend. Alerts (non-adherence ≥7 days; BP fluctuation >20%; medication intolerance; weight gain >2kg/3 days; volume overload symptoms) triggered nurse contact and multidisciplinary discussion for treatment adjustments.5.Structured telephone follow-up at week 1; additional calls as needed.6.Dynamic plan updates during clinic visits. |
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Active Comparator: Routine Outpatient Follow-Up
|
Participants in the control group received conventional follow-up care.
This consisted of standard outpatient clinic visits at 2 weeks, 1 month, 2 months, and 3 months after hospital discharge.
The follow-up clinic was operated by a dedicated "physician-pharmacist-nurse" team.
During these visits, the physician conducted clinical assessments and adjusted treatments as necessary.
In the intervals between physician consultations, the pharmacist and nurse performed evaluations of disease knowledge and self-care behaviors, delivering individualized health education.
Patients were provided with a health education handbook containing information about heart failure and logs for recording blood pressure, heart rate, body weight, and self-reported symptoms.
They also received instruction on how to perform self-monitoring and apply the results to guide their self-care practices.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Self-Care of Heart Failure Index (SCHFI) Scores
Time Frame: Baseline, Month 3
|
The SCHFI consists of three subscales: (1) Self-Care Maintenance (10 items), which assesses treatment adherence and symptom monitoring using a 4-point Likert scale (1-4); (2) Self-Care Management (6 items), which evaluates symptom recognition (one item, 5-point Likert scale 0-4), symptom management (four items, 4-point Likert scale 1-4), and evaluation of management strategies (one item, 5-point Likert scale 0-4); and (3) Self-Care Confidence (6 items), which measures confidence in maintaining self-care (two items) and managing symptoms (four items) using a 4-point Likert scale (1-4).
Each subscale is converted to a standardized score ranging from 0 to 100 using the formula: [(raw score - minimum score) / (maximum score - minimum score)] × 100.
The total score is the sum of the three subscale scores (range 0-300), with higher scores indicating better self-care.
The Chinese version has demonstrated good reliability, with Cronbach's α coefficients ranging from 0.656 to 0.869 for the sub
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Baseline, Month 3
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The Memorial Symptom Assessment Scale-Heart Failure (MSAS-HF)
Time Frame: Baseline, Month 3
|
This 32-item instrument evaluates symptoms across three subscales: physical symptoms, psychological symptoms, and heart failure-specific symptoms.
For each symptom, four dimensions are assessed: presence, frequency (1-4 point Likert scale), severity (1-4 point Likert scale), and distress (0-4 point Likert scale).
If a symptom is not present, it is scored as "0".
The total symptom score is calculated as the mean of all symptom scores, with higher scores indicating greater symptom burden.
The Chinese version has shown excellent reliability, with Cronbach's α coefficients ranging from 0.807 to 0.946 for the total scale and subscales.
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Baseline, Month 3
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NYHA Functional Class
Time Frame: Baseline, Month 3
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NYHA classification is a widely used clinical tool for evaluating the functional status of heart failure patients, reflecting symptom severity and limitations in physical activity.
|
Baseline, Month 3
|
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B-type natriuretic peptide (BNP)
Time Frame: Baseline, Month 3
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BNP measurement is utilized for heart failure screening, diagnosis, differential diagnosis, and assessment of disease severity and prognosis.
Pre-discharge BNP levels are particularly valuable for stratifying the risk of subsequent cardiovascular events following hospital discharge.
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Baseline, Month 3
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Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
- 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.
- Ozden F, Sari Z, Karaman ON, Aydogmus H. The effect of video exercise-based telerehabilitation on clinical outcomes, expectation, satisfaction, and motivation in patients with chronic low back pain. Ir J Med Sci. 2022 Jun;191(3):1229-1239. doi: 10.1007/s11845-021-02727-8. Epub 2021 Aug 6. Erratum In: Ir J Med Sci. 2022 Jun;191(3):1469. doi: 10.1007/s11845-021-02797-8.
- Freedman G, Watt R, Chowdhury EK, Quinlan K, Eccleston D, Driscoll A, Theuerle J, Kearney L. Nurse-Led, Remote Optimisation of Guideline-Directed Medical Therapy in Patients with Heart Failure and Reduced Ejection Fraction Across Australia. J Clin Med. 2025 Jul 30;14(15):5371. doi: 10.3390/jcm14155371.
- Son YJ, Choi J, Lee HJ. Effectiveness of Nurse-Led Heart Failure Self-Care Education on Health Outcomes of Heart Failure Patients: A Systematic Review and Meta-Analysis. Int J Environ Res Public Health. 2020 Sep 9;17(18):6559. doi: 10.3390/ijerph17186559.
- Man JP, Dijkgraaf MGW, Handoko ML, de Lange FJ, Winter MM, Schijven MP, Stienen S, Meregalli P, Kok WEM, Kuipers DI, van der Harst P, Koole MAC, Chamuleau SAJ, Schuuring MJ. Digital consults to optimize guideline-directed therapy: design of a pragmatic multicenter randomized controlled trial. ESC Heart Fail. 2024 Feb;11(1):560-569. doi: 10.1002/ehf2.14634. Epub 2023 Dec 26.
- Zheng J, Mednick T, Heidenreich PA, Sandhu AT. Pharmacist- and Nurse-Led Medical Optimization in Heart Failure: A Systematic Review and Meta-Analysis. J Card Fail. 2023 Jul;29(7):1000-1013. doi: 10.1016/j.cardfail.2023.03.012. Epub 2023 Mar 31.
- Bezerra Giordan L, Tong HL, Atherton JJ, Ronto R, Chau J, Kaye D, Shaw T, Chow C, Laranjo L. The Use of Mobile Apps for Heart Failure Self-management: Systematic Review of Experimental and Qualitative Studies. JMIR Cardio. 2022 Mar 31;6(1):e33839. doi: 10.2196/33839.
- Zare-Kaseb A, Emami Zeydi A, Bakhtiari-Dovvombaygi H, Nazari AM. Effects of education based on teach-back methods on self-care and quality of life of the patients with heart failure: a systematic review. BMC Cardiovasc Disord. 2024 Oct 26;24(1):591. doi: 10.1186/s12872-024-04264-5.
- 郭金玉, 吕蓉, 张健, 等. 中文版Memorial心力衰竭症状评估量表的信效度评定[J]. 中华护理杂志, 2014,49(12): 1448-1452.
- Turker E, Beduk T. Effect of an Educational Program Intervention for Caregivers of Heart Failure Patients on Patient Symptoms and Quality of Life: A Pretest-Posttest Study. West J Nurs Res. 2025 Nov;47(11):1036-1043. doi: 10.1177/01939459251359208. Epub 2025 Jul 31.
- 郭金玉, 李峥, 康晓凤. 心力衰竭自我护理指数量表的汉化及信效度检测[J]. 中华护理杂志, 2012,47(07): 653-655.
- Takahashi EA, Schwamm LH, Adeoye OM, Alabi O, Jahangir E, Misra S, Still CH; American Heart Association Council on Cardiovascular Radiology and Intervention, Council on Hypertension, Council on the Kidney in Cardiovascular Disease, and Stroke Council. An Overview of Telehealth in the Management of Cardiovascular Disease: A Scientific Statement From the American Heart Association. Circulation. 2022 Dec 20;146(25):e558-e568. doi: 10.1161/CIR.0000000000001107. Epub 2022 Nov 14.
- Krzesinski P, Jankowska EA, Siebert J, Galas A, Piotrowicz K, Stanczyk A, Siwolowski P, Gutknecht P, Chrom P, Murawski P, Walczak A, Szalewska D, Banasiak W, Ponikowski P, Gielerak G. Effects of an outpatient intervention comprising nurse-led non-invasive assessments, telemedicine support and remote cardiologists' decisions in patients with heart failure (AMULET study): a randomised controlled trial. Eur J Heart Fail. 2022 Mar;24(3):565-577. doi: 10.1002/ejhf.2358. Epub 2021 Oct 14.
- Kitsiou S, Gerber BS, Buchholz SW, Kansal MM, Sun J, Pressler SJ. Patient-Centered mHealth Intervention to Improve Self-Care in Patients With Chronic Heart Failure: Phase 1 Randomized Controlled Trial. J Med Internet Res. 2025 Jan 15;27:e55586. doi: 10.2196/55586.
- Brugts JJ, Radhoe SP, Clephas PRD, Aydin D, van Gent MWF, Szymanski MK, Rienstra M, van den Heuvel MH, da Fonseca CA, Linssen GCM, Borleffs CJW, Boersma E, Asselbergs FW, Mosterd A, Brunner-La Rocca HP, de Boer RA; MONITOR-HF investigators. Remote haemodynamic monitoring of pulmonary artery pressures in patients with chronic heart failure (MONITOR-HF): a randomised clinical trial. Lancet. 2023 Jun 24;401(10394):2113-2123. doi: 10.1016/S0140-6736(23)00923-6. Epub 2023 May 20.
- Simsek E, Korkmaz Y, Bozyel S, Guler A, Kocyigit Burunkaya D, Erturk M, Keser N. Digital Technologies in Heart Failure Management. Turk Kardiyol Dern Ars. 2024 Jan;52(1):52-60. doi: 10.5543/tkda.2023.79776.
- Tromp J, Bamadhaj S, Cleland JGF, Angermann CE, Dahlstrom U, Ouwerkerk W, Tay WT, Dickstein K, Ertl G, Hassanein M, Perrone SV, Ghadanfar M, Schweizer A, Obergfell A, Lam CSP, Filippatos G, Collins SP. Post-discharge prognosis of patients admitted to hospital for heart failure by world region, and national level of income and income disparity (REPORT-HF): a cohort study. Lancet Glob Health. 2020 Mar;8(3):e411-e422. doi: 10.1016/S2214-109X(20)30004-8.
- Liu, H. M., Zhang, L. H.. Clinical characteristics, management, and outcome disparities of hospitalized patients with acute heart failure across different regions in China. Chin Circ J, 2024,39(6): 592-598.
- Chinese Society of Cardiology of Chinese Medical Association, Chinese College of Cardiovascular Physicians, Chinese Heart Failure Association of Chinese Medical Association, et al. Chinese guidelines for the diagnosis and treatment of heart failure 2024. Chin J Cardiol. 2024;52(3):235-275.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- ZHKY201918
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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