Heart FailureNCT07490470
Nurse-Led mHealth for Vulnerable-Phase Heart Failure
A study testing Nurse-Led mHealth Multidisciplinary Management and Routine Outpatient Follow-Up in people with Heart Failure, run by Peking University First Hospital at 1 site in China.
Trial summary
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. Read more about this study
- Who is it for?
- Ages Up to 80 years
- Conditions the study is for
- Heart Failure
- What is being tested?
- Nurse-Led mHealth Multidisciplinary Management and Routine Outpatient Follow-Up
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 104 participants
- Where
- 1 siteChina
- Study dates
- 1 Jun 2022to 17 Jan 2025
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Up to 80 years
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Who may be able to join
- 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.
Who cannot join
- had other life-threatening conditions (e.g., malignancy, end-stage renal disease); or (2) exhibited severe physical impairment.
Trial locations and contacts
1 site in 1 country.
China1 site
Peking University First Hospital
Beijing, Beijing Municipality, 100034
About this study
Official title: 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.
- Conditions
- Heart Failure
- Being tested
- Nurse-Led mHealth Multidisciplinary Management, Routine Outpatient Follow-Up
- Medical subject headings
- Heart Failure
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Nurse-Led mHealth Multidisciplinary ManagementBehavioural
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.
Routine Outpatient Follow-UpBehavioural
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.
| Study group | Role | What they receive |
|---|---|---|
| Nurse-Led mHealth Multidisciplinary Management | Experimental | Not described Receives: Behavioral: Nurse-Led mHealth Multidisciplinary Management |
| Routine Outpatient Follow-Up | Active comparator | Not described Receives: Behavioral: Routine Outpatient Follow-Up |
What is being measured
The primary outcome is the main question the study is designed to answer.
Self-Care of Heart Failure Index (SCHFI) Scores
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
Measured: Baseline, Month 3
Secondary outcomes (3)
The Memorial Symptom Assessment Scale-Heart Failure (MSAS-HF)
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.
Measured: Baseline, Month 3
NYHA Functional Class
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.
Measured: Baseline, Month 3
B-type natriuretic peptide (BNP)
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.
Measured: Baseline, Month 3
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted24 Mar 2026
- Study start1 Jun 2022
- Primary completion27 Jun 2024
- Study completion17 Jan 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (19)Papers the sponsor has linked to this study.
- Other trials for Heart FailureStudies of the same condition, open and under way.
- More trials run by Peking University First HospitalThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind
- Who is masked
- Outcomes assessor
- Enrolment
- 104 participants (actual)
Sponsor and investigators
- Lead sponsor
- Peking University First Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, YE Jing, Peking University First Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07490470
- Sponsor's protocol ID
- ZHKY201918
- Status last verified
- Mar 2026
- First submitted
- 18 Mar 2026
- Last updated
- 24 Mar 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided: Individual participant data will not be made available due to privacy and ethical restrictions imposed by the institutional ethics committee. The data that support the findings of this study are available from the corresponding author upon reasonable request, subject to approval from the Ethics Committee of Peking University First Hospital.
Publications
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.
PubMed 40806994Son 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.
PubMed 32916907Man 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.
PubMed 38146630Ozden 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.
PubMed 34357527Zheng 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.
PubMed 37004867Bezerra 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.
PubMed 35357311Zare-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.
PubMed 39462344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.
PubMed 40742734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.
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 30303894Takahashi 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.
PubMed 36373541Krzesinski 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.
PubMed 34617373Kitsiou 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.
PubMed 39813671Brugts 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.
PubMed 37220768
Study at a glance
From the registry record, last updated by the sponsor on 24 Mar 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- A Nurse-Led, Multidisciplinary mHealth Program to Manage Heart Failure During the Vulnerable Post-Discharge Period
- ClinicalTrials.gov ID
- NCT07490470
- Acronym / sponsor ID
- ZHKY201918
- Conditions
- Heart Failure
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 104 participants (actual)
- Lead sponsor
- Peking University First HospitalUniversity, hospital or other
- Study start
- 1 Jun 2022 (actual)
- Primary completion
- 27 Jun 2024 (actual)
- Study completion
- 17 Jan 2025 (actual)
- First posted
- 24 Mar 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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 design
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (outcomes assessor)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Nurse-Led mHealth Multidisciplinary Management | Experimental | Behavioral: Nurse-Led mHealth Multidisciplinary Management |
| Routine Outpatient Follow-Up | Active comparator | Behavioral: Routine Outpatient Follow-Up |
Who may qualify
- Ages
- Up to 80 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (1 listed)
- 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.
Key exclusion criteria (1 listed)
- had other life-threatening conditions (e.g., malignancy, end-stage renal disease); or (2) exhibited severe physical impairment.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Nurse-Led mHealth Multidisciplinary ManagementThe 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. | Behavioural | Nurse-Led mHealth Multidisciplinary Management |
| Routine Outpatient Follow-UpParticipants 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. | Behavioural | Routine Outpatient Follow-Up |
Primary outcome
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
3 secondary outcomes
The Memorial Symptom Assessment Scale-Heart Failure (MSAS-HF)
Time frame: Baseline, Month 3
NYHA Functional Class
Time frame: Baseline, Month 3
B-type natriuretic peptide (BNP)
Time frame: Baseline, Month 3
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 24 Mar 2026.
- Results publication: PubMed 40806994Freedman 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.
- Results publication: PubMed 32916907Son 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.
- Results publication: PubMed 38146630Man 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.
- Results publication: PubMed 34357527Ozden 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.
- Results publication: PubMed 37004867Zheng 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.
- Results publication: PubMed 35357311Bezerra 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.
- Results publication: PubMed 39462344Zare-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.
- Results publication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.
- Results publication: PubMed 40742734Turker 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.
- Results publication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.
- Results publication: PubMed 30303894Riegel 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.
- Results publication: PubMed 36373541Takahashi 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.
- Individual participant dataSharing planned: Undecided. Individual participant data will not be made available due to privacy and ethical restrictions imposed by the institutional ethics committee. The data that support the findings of this study are available from the corresponding author upon reasonable request, subject to approval from the Ethics Committee of Peking University First Hospital.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Nurse-Led mHealth Multidisciplinary Management and Routine Outpatient Follow-Up in people with Heart Failure, run by Peking University First Hospital at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 24 Mar 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Self-Care of Heart Failure Index (SCHFI) Scores (time frame: Baseline, Month 3). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07490470, which also lists 19 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 24 Mar 2026.