Mobile Education System to Improve Disease Knowledge, Self-efficacy and Quality of Life in Patients With Heart Failure
NCT ID: NCT06161649
Last Updated: 2023-12-18
Study Results
Results pending
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
Recruitment Status
RECRUITING
Clinical Phase
NA
Total Enrollment
138 participants
Study Classification
INTERVENTIONAL
Study Start Date
2023-11-21
Study Completion Date
2026-07-31
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Heart failure (HF) is an incurable and complex disease syndrome with sophisticated disease trajectories. The guideline for HF management suggests that treatment should include adequate education to help patients have better self-management ability, and improve their quality of life and prognosis. However, how to provide massive amount of HF patients a continuous, complete and individualized disease care education from hospitalization, post-discharge, to home for months is a difficult problem. This study plans to develop an automated and intelligent education system for HF on the mobile device "Line" platform. Through this platform, we hope to make the HF education continuous for 3 months from hospital to post-discharge period. We hypothesize that (1) this intervention can improve knowledge, self-care, emotional stress, self-efficacy, quality of life and disease outcomes in patients of HF; (2) the system developed in this study can reduce the hours of nursing work while improve the quality of education and become the best clinical auxiliary education tool.
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Study background
Heart failure is a complex disease syndrome, and patients often suffer from multiple chronic diseases. Faced with the problem of disease symptoms, if patients do not have sufficient care knowledge, patients often mistakenly think that it is related to aging, and may even delay medical treatment, resulting in the need for hospitalization when it worsens. Emergency treatment may even deal with respiratory failure in severe cases. Such repeated hospitalizations will affect the quality of life and lead to poor disease prognosis for patients. Heart failure treatment guidelines have recommended that in addition to the use of standard drugs for disease treatment, systematic and structured disease education should be provided continuously during hospitalization and after discharge to help patients effectively implement disease self-management and improve the quality of disease care, quality of life and life satisfaction. Interventional studies and comprehensive literature review data have also confirmed that disease education provided by nursing staff can significantly improve the knowledge, behavior, self-efficacy, quality of life, and reduce re-hospitalization of heart failure patients. Due to the high fluctuations in the course of heart failure and the interlocking influence of multiple comorbidities, disease care information should be provided not only during hospitalization, but also during the period of discharge and at home after the acute phase. Facing complex and ever-changing disease troubles often lead to overwhelming anxiety and negative emotional stress. For heart failure patients, it is necessary to provide individualized and continuous disease care information from hospitalization, discharge to home during the chronic stage of the disease. Educational navigation helps patients have good self-efficacy to perform self-disease management at home, and then learn to coexist with the disease and obtain a better quality of life with the disease.
In recent years, during the epidemic of Coronavirus disease 2019 (COVID-19), in order to prevent the spread of the virus, disease prevention and control organizations have recommended care and management strategies for chronic diseases through remote and other mobile health care Internet platforms. Care services should be provided to maintain the continuity of nursing education in the case of zero contact. In a survey study, it was found that information sharing through social networks during the epidemic was positively helpful for patients' self-care. It can be seen that it is acceptable to use portable mobile phones for educational interaction on heart failure. Unfortunately, most of the current applications still monitor patients' physiological parameters such as blood pressure, pulse, weight, heart rhythm and other data. Mobile devices are mainly used to predict disease risk, and the provision of care information mainly uses SMS notifications to remind return visits, or simple data responses based on the results of physiological parameters. However, these require long-term measurement data to generate feedback. Since learning is a kind of interpersonal interaction, when providing disease information, if text is simply sent through text messages, patients with insufficient knowledge and literacy may not be able to identify the key points that really need to be learned. In addition, it is fixed and not personalized. The education system cannot produce substantial effects.
In the ever-changing medical environment of the epidemic, how to enable heart failure patients to continue to receive complete disease care education from hospitalization, discharge to home is a difficult problem. Because investigators have spent two years in the past working to develop an APP software platform. This platform has an automated import system, a combination of personalized educational video software, video-specific examination questions, and learning evaluation. It measures the function of the mechanism, but it still lacks intelligent performance. In addition, our heart failure center has 15 years of clinical care resources and has completed hundreds of educational videos and a tracking database of long-term patient phone interviews. Investigators hope to use cluster analysis to classify the original data. In order to explore the needs of patients at different times and achieve intelligent docking of needs and educational videos, investigators plan to develop an automated and intelligent educational assistance system for heart failure on the mobile device "Line" platform, hoping to use the assistance system in mobile devices. The intervention continues to extend heart failure disease education from the hospital to the home follow-up period, so that patients can have a sufficient disease learning process, acquire effective self-care abilities, and thereby improve their quality of life. It is also hoped that the system developed through this research can help nursing staff meet the different care needs of patients in different disease stages despite busy clinical work. Make education personal and continuous, and reduce the number of nursing work hours while still maintaining educational quality, becoming the best clinical auxiliary tool that can be replicated in education on various diseases.
The main themes of the study
1. Exploring the disease care information that heart failure patients need at different disease stages
2. Establish a continuous automated intelligent mobile education system for heart failure.
3. Participate and explore the effect of the use of continuous automated intelligent mobile education system on disease knowledge and self-care behavior of heart failure patients.
4. To explore the impact of the use of continuous automated intelligent mobile education system on anxiety and depression in patients with heart failure.
5. To explore the effectiveness of the use of continuous automated intelligent mobile education system on the self-efficacy of heart failure patients.
6. To explore the effectiveness of the use of continuous automated intelligent mobile education system on the quality of life of patients with heart failure.
7. To explore the effect of the use of continuous automated intelligent mobile education system on the six-month to one-year disease prognosis of heart failure patients.
Study Methods
According to the purpose of the research, this research plan uses a randomized controlled intervention research design method to implement and complete the research plan over a three-year period. The following is a description of the progress of the research plan in each year:
Research design Research plan This study adopts a randomized two-group pre-test and post-test experimental design to compare the effectiveness of using an automated intelligent educational software system on the self-efficacy and quality of life of patients with heart failure.
Research objects and places The first stage of this research is to complete the continuous automated intelligent mobile education system (first year). The research subjects in the second and third years of this study are selected through purposive sampling, and the subjects are patients diagnosed with heart failure in a regional teaching hospital or outpatient clinic in the north Taiwan. The conditions for inclusion and exclusion of research subjects are described in another section.
Number of samples in the second to third years In this study, participants are divided into intervention groups and control groups, and each receives five questionnaires. The estimated sample number is set with an α value of .05 and a power of .8. It is estimated that the intervention group and the control group will receive 57 cases each, totaling 114 people. It is considered that there will be a 20% attrition rate during the follow-up intervention period. Thus, the estimated sample size is 138 people.
Study tools
1. First year:
The reliability and validity evaluation method of the educational videos in the system adopts the "Education System" developed by the Agency for Healthcare Research and Quality (AHRQ). The Patient Education Materials Assessment Tool (PEMAT) evaluates the understandability and feasibility of educational videos. This tool has two aspects, namely understandability and feasibility.
2. Two to three years:
The second phase of this study is mainly to test the effectiveness of the continuous automated intelligent mobile education system intervention program on the disease knowledge, emotional stress, self-efficacy and quality of life of heart failure patients. Structured questionnaires are adopted, including a total of six questionnaires, namely basic personal information questionnaire, heart failure knowledge scale, heart failure self-care scale, hospital anxiety and depression scale, self-efficacy scale, and quality of life scale and service satisfaction scale, as listed up below.
Intervention measures (second to third years) Introduction to the continuous automated intelligent education system: This system is developed by Liu Min Hui and Professor Wang Chao-Hung from Keelung Chang Gung Memorial Heart Failure Center.
The description of the confidentiality methods, information security measures, and database storage and management measures for network information security subjects is as follows:
1. Confidentiality of Subject Information
2. Cloud data backup
3. Information security measures
4. Database storage and management measures
5. Intellectual property rights in producing health education multimedia to protect medical staff
6. Functional interface of this automated intelligent education software system
Research steps The subjects are randomly assigned to the intervention group (receiving the automated intelligent education software system) and the control group (receiving the original medical care method), and the disease prognosis of the two groups is tracked six to twelve months after discharge (re- hospitalizations and deaths).
The following is a description of the admission and care process for the intervention group and the control groups:
1\. Intervention group (accepting the operation process of automated intelligent education software system):
1. Execute registration and qualification review
2. Automated smart education interaction At the same time, the patient will receive a personal disease self-care education manual, and will get the contact number of the case manager in case the patients encounter emergencies or disease care needs at home (the patient can call for consultation on home care for diseases if the patient want).
2\. Control group: After confirming that the diagnosis of heart failure is met, the patient will receive 10-15 minutes of disease care education from a nurse when the patient receives the case. At the same time, the patient will receive a personal disease self-care education manual, and will get the contact number of the case manager in case the patients encounter emergencies or disease care needs at home (the patient can call for consultation on home care for diseases if the patient want).
Data analysis Data are collected at 5 time points starting from enroll to 6 months. For assessment, a few questionnaires are used, including Heart Failure knowledge scale, self-care of heart failure index, hospital anxiety and depression scale, self-efficacy scale, quality of life scale and satisfaction scale. Data analysis is performed with SPSS 22.0 software. Statistical analysis includes descriptive statistics, cluster analysis, independent samples t-test, single factor Analysis of variance one-way ANOVA, and generalized estimating equations (generalized estimating equations, GEE).
Heart failure is a complex disease syndrome, and patients often suffer from multiple chronic diseases. Faced with the problem of disease symptoms, if patients do not have sufficient care knowledge, patients often mistakenly think that it is related to aging, and may even delay medical treatment, resulting in the need for hospitalization when it worsens. Emergency treatment may even deal with respiratory failure in severe cases. Such repeated hospitalizations will affect the quality of life and lead to poor disease prognosis for patients. Heart failure treatment guidelines have recommended that in addition to the use of standard drugs for disease treatment, systematic and structured disease education should be provided continuously during hospitalization and after discharge to help patients effectively implement disease self-management and improve the quality of disease care, quality of life and life satisfaction. Interventional studies and comprehensive literature review data have also confirmed that disease education provided by nursing staff can significantly improve the knowledge, behavior, self-efficacy, quality of life, and reduce re-hospitalization of heart failure patients. Due to the high fluctuations in the course of heart failure and the interlocking influence of multiple comorbidities, disease care information should be provided not only during hospitalization, but also during the period of discharge and at home after the acute phase. Facing complex and ever-changing disease troubles often lead to overwhelming anxiety and negative emotional stress. For heart failure patients, it is necessary to provide individualized and continuous disease care information from hospitalization, discharge to home during the chronic stage of the disease. Educational navigation helps patients have good self-efficacy to perform self-disease management at home, and then learn to coexist with the disease and obtain a better quality of life with the disease.
In recent years, during the epidemic of Coronavirus disease 2019 (COVID-19), in order to prevent the spread of the virus, disease prevention and control organizations have recommended care and management strategies for chronic diseases through remote and other mobile health care Internet platforms. Care services should be provided to maintain the continuity of nursing education in the case of zero contact. In a survey study, it was found that information sharing through social networks during the epidemic was positively helpful for patients' self-care. It can be seen that it is acceptable to use portable mobile phones for educational interaction on heart failure. Unfortunately, most of the current applications still monitor patients' physiological parameters such as blood pressure, pulse, weight, heart rhythm and other data. Mobile devices are mainly used to predict disease risk, and the provision of care information mainly uses SMS notifications to remind return visits, or simple data responses based on the results of physiological parameters. However, these require long-term measurement data to generate feedback. Since learning is a kind of interpersonal interaction, when providing disease information, if text is simply sent through text messages, patients with insufficient knowledge and literacy may not be able to identify the key points that really need to be learned. In addition, it is fixed and not personalized. The education system cannot produce substantial effects.
In the ever-changing medical environment of the epidemic, how to enable heart failure patients to continue to receive complete disease care education from hospitalization, discharge to home is a difficult problem. Because investigators have spent two years in the past working to develop an APP software platform. This platform has an automated import system, a combination of personalized educational video software, video-specific examination questions, and learning evaluation. It measures the function of the mechanism, but it still lacks intelligent performance. In addition, our heart failure center has 15 years of clinical care resources and has completed hundreds of educational videos and a tracking database of long-term patient phone interviews. Investigators hope to use cluster analysis to classify the original data. In order to explore the needs of patients at different times and achieve intelligent docking of needs and educational videos, investigators plan to develop an automated and intelligent educational assistance system for heart failure on the mobile device "Line" platform, hoping to use the assistance system in mobile devices. The intervention continues to extend heart failure disease education from the hospital to the home follow-up period, so that patients can have a sufficient disease learning process, acquire effective self-care abilities, and thereby improve their quality of life. It is also hoped that the system developed through this research can help nursing staff meet the different care needs of patients in different disease stages despite busy clinical work. Make education personal and continuous, and reduce the number of nursing work hours while still maintaining educational quality, becoming the best clinical auxiliary tool that can be replicated in education on various diseases.
The main themes of the study
1. Exploring the disease care information that heart failure patients need at different disease stages
2. Establish a continuous automated intelligent mobile education system for heart failure.
3. Participate and explore the effect of the use of continuous automated intelligent mobile education system on disease knowledge and self-care behavior of heart failure patients.
4. To explore the impact of the use of continuous automated intelligent mobile education system on anxiety and depression in patients with heart failure.
5. To explore the effectiveness of the use of continuous automated intelligent mobile education system on the self-efficacy of heart failure patients.
6. To explore the effectiveness of the use of continuous automated intelligent mobile education system on the quality of life of patients with heart failure.
7. To explore the effect of the use of continuous automated intelligent mobile education system on the six-month to one-year disease prognosis of heart failure patients.
Study Methods
According to the purpose of the research, this research plan uses a randomized controlled intervention research design method to implement and complete the research plan over a three-year period. The following is a description of the progress of the research plan in each year:
Research design Research plan This study adopts a randomized two-group pre-test and post-test experimental design to compare the effectiveness of using an automated intelligent educational software system on the self-efficacy and quality of life of patients with heart failure.
Research objects and places The first stage of this research is to complete the continuous automated intelligent mobile education system (first year). The research subjects in the second and third years of this study are selected through purposive sampling, and the subjects are patients diagnosed with heart failure in a regional teaching hospital or outpatient clinic in the north Taiwan. The conditions for inclusion and exclusion of research subjects are described in another section.
Number of samples in the second to third years In this study, participants are divided into intervention groups and control groups, and each receives five questionnaires. The estimated sample number is set with an α value of .05 and a power of .8. It is estimated that the intervention group and the control group will receive 57 cases each, totaling 114 people. It is considered that there will be a 20% attrition rate during the follow-up intervention period. Thus, the estimated sample size is 138 people.
Study tools
1. First year:
The reliability and validity evaluation method of the educational videos in the system adopts the "Education System" developed by the Agency for Healthcare Research and Quality (AHRQ). The Patient Education Materials Assessment Tool (PEMAT) evaluates the understandability and feasibility of educational videos. This tool has two aspects, namely understandability and feasibility.
2. Two to three years:
The second phase of this study is mainly to test the effectiveness of the continuous automated intelligent mobile education system intervention program on the disease knowledge, emotional stress, self-efficacy and quality of life of heart failure patients. Structured questionnaires are adopted, including a total of six questionnaires, namely basic personal information questionnaire, heart failure knowledge scale, heart failure self-care scale, hospital anxiety and depression scale, self-efficacy scale, and quality of life scale and service satisfaction scale, as listed up below.
Intervention measures (second to third years) Introduction to the continuous automated intelligent education system: This system is developed by Liu Min Hui and Professor Wang Chao-Hung from Keelung Chang Gung Memorial Heart Failure Center.
The description of the confidentiality methods, information security measures, and database storage and management measures for network information security subjects is as follows:
1. Confidentiality of Subject Information
2. Cloud data backup
3. Information security measures
4. Database storage and management measures
5. Intellectual property rights in producing health education multimedia to protect medical staff
6. Functional interface of this automated intelligent education software system
Research steps The subjects are randomly assigned to the intervention group (receiving the automated intelligent education software system) and the control group (receiving the original medical care method), and the disease prognosis of the two groups is tracked six to twelve months after discharge (re- hospitalizations and deaths).
The following is a description of the admission and care process for the intervention group and the control groups:
1\. Intervention group (accepting the operation process of automated intelligent education software system):
1. Execute registration and qualification review
2. Automated smart education interaction At the same time, the patient will receive a personal disease self-care education manual, and will get the contact number of the case manager in case the patients encounter emergencies or disease care needs at home (the patient can call for consultation on home care for diseases if the patient want).
2\. Control group: After confirming that the diagnosis of heart failure is met, the patient will receive 10-15 minutes of disease care education from a nurse when the patient receives the case. At the same time, the patient will receive a personal disease self-care education manual, and will get the contact number of the case manager in case the patients encounter emergencies or disease care needs at home (the patient can call for consultation on home care for diseases if the patient want).
Data analysis Data are collected at 5 time points starting from enroll to 6 months. For assessment, a few questionnaires are used, including Heart Failure knowledge scale, self-care of heart failure index, hospital anxiety and depression scale, self-efficacy scale, quality of life scale and satisfaction scale. Data analysis is performed with SPSS 22.0 software. Statistical analysis includes descriptive statistics, cluster analysis, independent samples t-test, single factor Analysis of variance one-way ANOVA, and generalized estimating equations (generalized estimating equations, GEE).
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Acute Decompensated Heart Failure
Keywords
Explore important study keywords that can help with search, categorization, and topic discovery.
Heart failure
automation
smart mobile education system
disease knowledge
self-care
emotional stress
self-efficacy
quality of life
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
Allocation Method
RANDOMIZED
Intervention Model
PARALLEL
Primary Study Purpose
HEALTH_SERVICES_RESEARCH
Blinding Strategy
NONE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
traditional outpatient care group
After confirming that the diagnosis of heart failure is met, the patient will receive 10-15 minutes of disease care education from a nurse when the patient receives the case. At the same time, the patient will receive a personal disease self-care education manual, and will get the contact number of the case manager in case the patients encounter emergencies or disease care needs at home (the patient can call for consultation on home care for diseases if the patient want).
Group Type
NO_INTERVENTION
No interventions assigned to this group
automated mobile education system group
Intervention group (accepting the operation process of automated intelligent education software system):
1. Execute registration and qualification review
2. Automated smart education interaction
At the same time, the patient will receive a personal disease self-care education manual, and will get the contact number of the case manager in case the patients encounter emergencies or disease care needs at home (the patient can call for consultation on home care for diseases if the patient want).
Group Type
EXPERIMENTAL
accepting the operation process of automated intelligent education software system
Intervention Type
BEHAVIORAL
1. Execute registration and qualification review
2. Automated smart education interaction
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
accepting the operation process of automated intelligent education software system
1. Execute registration and qualification review
2. Automated smart education interaction
Intervention Type
BEHAVIORAL
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Patients with a diagnosis of heart failure
* Patients with age \>= 20 years old
* patients with clear consciousness
* Patients who can communicate with by Chinese or Taiwanese, and are willing to participate this study
* Patients with age \>= 20 years old
* patients with clear consciousness
* Patients who can communicate with by Chinese or Taiwanese, and are willing to participate this study
Exclusion Criteria
* patients who are long-term bedridden, or living dependent of others
* patients who have severe psychological disease, or severe cognitive dysfunction
* patients without utilizing smartphone or internet
* patients who have severe psychological disease, or severe cognitive dysfunction
* patients without utilizing smartphone or internet
Minimum Eligible Age
20 Years
Eligible Sex
ALL
Accepts Healthy Volunteers
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Chang Gung Memorial Hospital
OTHER
Sponsor Role
lead
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
MIN-HUI LIU
Heart Failure Center
Responsibility Role
PRINCIPAL_INVESTIGATOR
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
MIN-HUI LIU, RN, PhD
Role: PRINCIPAL_INVESTIGATOR
CHANG GUNG MEMORIAL HOSTIPAL, KEELUNG
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Chang Gung Memorial Hospital
Keelung, , Taiwan
Site Status
RECRUITING
Countries
Review the countries where the study has at least one active or historical site.
Taiwan
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
MIN-HUI LIU, RN, PhD
Role: primary
CHAO-HUNG WANG, MD, PhD
Role: backup
References
Explore related publications, articles, or registry entries linked to this study.
Andersson L, Nordgren L. Heart Failure Patients' Perceptions of Received and Wanted Information: A Cross-Sectional Study. Clin Nurs Res. 2019 Mar;28(3):340-355. doi: 10.1177/1054773818787196. Epub 2018 Jul 10.
Reference Type
BACKGROUND
Arvanitaki A, Michou E, Kalogeropoulos A, Karvounis H, Giannakoulas G. Mildly symptomatic heart failure with reduced ejection fraction: diagnostic and therapeutic considerations. ESC Heart Fail. 2020 Aug;7(4):1477-1487. doi: 10.1002/ehf2.12701. Epub 2020 May 5.
Reference Type
BACKGROUND
Arestedt K, Saveman BI, Johansson P, Blomqvist K. Social support and its association with health-related quality of life among older patients with chronic heart failure. Eur J Cardiovasc Nurs. 2013 Feb;12(1):69-77. doi: 10.1177/1474515111432997. Epub 2012 Mar 28.
Reference Type
BACKGROUND
Austin RC, Schoonhoven L, Koutra V, Richardson A, Kalra PR, May CR. SYMptoms in chronic heart failure imPACT on burden of treatment (SYMPACT): a cross-sectional survey. ESC Heart Fail. 2022 Aug;9(4):2279-2290. doi: 10.1002/ehf2.13904. Epub 2022 Apr 21.
Reference Type
BACKGROUND
Allida S, Du H, Xu X, Prichard R, Chang S, Hickman LD, Davidson PM, Inglis SC. mHealth education interventions in heart failure. Cochrane Database Syst Rev. 2020 Jul 2;7(7):CD011845. doi: 10.1002/14651858.CD011845.pub2.
Reference Type
BACKGROUND
Bozkurt B, Coats AJ, Tsutsui H, Abdelhamid M, Adamopoulos S, Albert N, Anker SD, Atherton J, Bohm M, Butler J, Drazner MH, Felker GM, Filippatos G, Fonarow GC, Fiuzat M, Gomez-Mesa JE, Heidenreich P, Imamura T, Januzzi J, Jankowska EA, Khazanie P, Kinugawa K, Lam CSP, Matsue Y, Metra M, Ohtani T, Francesco Piepoli M, Ponikowski P, Rosano GMC, Sakata Y, SeferoviC P, Starling RC, Teerlink JR, Vardeny O, Yamamoto K, Yancy C, Zhang J, Zieroth S. Universal Definition and Classification of Heart Failure: A Report of the Heart Failure Society of America, Heart Failure Association of the European Society of Cardiology, Japanese Heart Failure Society and Writing Committee of the Universal Definition of Heart Failure. J Card Fail. 2021 Apr;27(4):387-413. doi: 10.1016/j.cardfail.2021.01.022. Epub 2021 Mar 1.
Reference Type
BACKGROUND
Checa C, Medina-Perucha L, Munoz MA, Verdu-Rotellar JM, Berenguera A. Living with advanced heart failure: A qualitative study. PLoS One. 2020 Dec 14;15(12):e0243974. doi: 10.1371/journal.pone.0243974. eCollection 2020.
Reference Type
BACKGROUND
Deek H, Newton PJ, Kabbani S, Hassouna B, Macdonald PS, Davidson PM. The Lebanese Heart Failure Snapshot: A National Presentation of Acute Heart Failure Admissions. J Nurs Scholarsh. 2020 Sep;52(5):506-514. doi: 10.1111/jnu.12583. Epub 2020 Aug 2.
Reference Type
BACKGROUND
Farwati M, Riaz H, Tang WHW. Digital Health Applications in Heart Failure: a Critical Appraisal of Literature. Curr Treat Options Cardiovasc Med. 2021;23(2):12. doi: 10.1007/s11936-020-00885-z. Epub 2021 Jan 16.
Reference Type
BACKGROUND
Heidenreich PA, Bozkurt B, Aguilar D, Allen LA, Byun JJ, Colvin MM, Deswal A, Drazner MH, Dunlay SM, Evers LR, Fang JC, Fedson SE, Fonarow GC, Hayek SS, Hernandez AF, Khazanie P, Kittleson MM, Lee CS, Link MS, Milano CA, Nnacheta LC, Sandhu AT, Stevenson LW, Vardeny O, Vest AR, Yancy CW. 2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol. 2022 May 3;79(17):e263-e421. doi: 10.1016/j.jacc.2021.12.012. Epub 2022 Apr 1.
Reference Type
BACKGROUND
Hearn J, Pham Q, Schwartz JI, Ssinabulya I, Akiteng AR, Ross HJ, Cafazzo JA. Lived Experiences and Technological Literacy of Heart Failure Patients and Clinicians at a Cardiac Care Centre in Uganda. Ann Glob Health. 2020 Jul 28;86(1):85. doi: 10.5334/aogh.2905.
Reference Type
BACKGROUND
Hiriscau EI, Bodolea C. The Role of Depression and Anxiety in Frail Patients with Heart Failure. Diseases. 2019 Jun 19;7(2):45. doi: 10.3390/diseases7020045.
Reference Type
BACKGROUND
Ivynian SE, Newton PJ, DiGiacomo M. Patient preferences for heart failure education and perceptions of patient-provider communication. Scand J Caring Sci. 2020 Dec;34(4):1094-1101. doi: 10.1111/scs.12820. Epub 2020 Jan 27.
Reference Type
BACKGROUND
Jones NR, Roalfe AK, Adoki I, Hobbs FDR, Taylor CJ. Survival of patients with chronic heart failure in the community: a systematic review and meta-analysis. Eur J Heart Fail. 2019 Nov;21(11):1306-1325. doi: 10.1002/ejhf.1594. Epub 2019 Sep 16.
Reference Type
BACKGROUND
Jeminiwa R, Hohmann L, Qian J, Garza K, Hansen R, Fox BI. Impact of eHealth on medication adherence among patients with asthma: A systematic review and meta-analysis. Respir Med. 2019 Mar;149:59-68. doi: 10.1016/j.rmed.2019.02.011. Epub 2019 Feb 15.
Reference Type
BACKGROUND
Kolasa J, Fraczek-Jucha M, Grabowski M, Jankowska EA, Lelonek M, Pawlak A, Uchmanowicz I, Nessler J. A quasi-experimental study examining a nurse-led educational program to improve disease knowledge and self-care for patients with acute decompensated heart failure with reduced ejection fraction. Adv Clin Exp Med. 2022 Mar;31(3):267-275. doi: 10.17219/acem/143989.
Reference Type
BACKGROUND
Kessing D, Denollet J, Widdershoven J, Kupper N. Psychological Determinants of Heart Failure Self-Care: Systematic Review and Meta-Analysis. Psychosom Med. 2016 May;78(4):412-31. doi: 10.1097/PSY.0000000000000270.
Reference Type
BACKGROUND
Lee KS, Cho YM, Oh SH, Jung MS, Yoon JY. Evaluation of the Heart Failure in Internet Patient Information: Descriptive Survey Study. Int J Environ Res Public Health. 2021 Jan 25;18(3):1047. doi: 10.3390/ijerph18031047.
Reference Type
BACKGROUND
Latifi M, Anvari Tafti M, Davari Dolatabadi N, Rafiei Z, Allahbakhshian Farsani L. E-Health: The Impact of Social Network on Self Care Behavior in Heart Failure Patients toward COVID-19 Epidemic. Adv Biomed Res. 2021 Jun 28;10:15. doi: 10.4103/abr.abr_195_20. eCollection 2021.
Reference Type
BACKGROUND
Lawrance L, McLeroy KR. Self-efficacy and health education. J Sch Health. 1986 Oct;56(8):317-21. doi: 10.1111/j.1746-1561.1986.tb05761.x.
Reference Type
BACKGROUND
Morken IM, Storm M, Soreide JA, Urstad KH, Karlsen B, Husebo AML. Posthospitalization Follow-Up of Patients With Heart Failure Using eHealth Solutions: Restricted Systematic Review. J Med Internet Res. 2022 Feb 15;24(2):e32946. doi: 10.2196/32946.
Reference Type
BACKGROUND
Rezakhani Moghaddam H, Ranjbaran S, Babazadeh T. The role of e-health literacy and some cognitive factors in adopting protective behaviors of COVID-19 in Khalkhal residents. Front Public Health. 2022 Jul 22;10:916362. doi: 10.3389/fpubh.2022.916362. eCollection 2022.
Reference Type
BACKGROUND
Graven LJ, Martorella G, Gordon G, Grant Keltner JS, Higgins MK. Predictors of depression in outpatients with heart failure: An observational study. Int J Nurs Stud. 2017 Apr;69:57-65. doi: 10.1016/j.ijnurstu.2017.01.014. Epub 2017 Feb 1.
Reference Type
BACKGROUND
Peyman N, Shahedi F, Abdollahi M, Doosti H, Zadehahmad Z. Impact of Self-Efficacy Strategies Education on Self-Care Behaviors among Heart Failure Patients. J Tehran Heart Cent. 2020 Jan;15(1):6-11.
Reference Type
BACKGROUND
Polikandrioti M, Kalafatakis F, Koutelekos I, Kokoularis D. Fatigue in heart failure outpatients: levels, associated factors, and the impact on quality of life. Arch Med Sci Atheroscler Dis. 2019 May 28;4:e103-e112. doi: 10.5114/amsad.2019.85406. eCollection 2019.
Reference Type
BACKGROUND
Petruzzo A, Paturzo M, Naletto M, Cohen MZ, Alvaro R, Vellone E. The lived experience of caregivers of persons with heart failure: A phenomenological study. Eur J Cardiovasc Nurs. 2017 Oct;16(7):638-645. doi: 10.1177/1474515117707666. Epub 2017 Apr 27.
Reference Type
BACKGROUND
Rector TS, Kubo SH, Cohn JN. Validity of the Minnesota Living with Heart Failure questionnaire as a measure of therapeutic response to enalapril or placebo. Am J Cardiol. 1993 May 1;71(12):1106-7. doi: 10.1016/0002-9149(93)90582-w. No abstract available.
Reference Type
BACKGROUND
Halbreich U. Theory and practice. Biol Psychiatry. 1990 Oct 15;28(8):649. doi: 10.1016/0006-3223(90)90450-g. No abstract available.
Reference Type
BACKGROUND
Scantlebury A, Booth A, Hanley B. Experiences, practices and barriers to accessing health information: A qualitative study. Int J Med Inform. 2017 Jul;103:103-108. doi: 10.1016/j.ijmedinf.2017.04.018. Epub 2017 May 1.
Reference Type
BACKGROUND
Sethares KA, Chin E, Jurgens CY. Predictors of delay in heart failure patients and consequences for outcomes. Curr Heart Fail Rep. 2015 Feb;12(1):94-105. doi: 10.1007/s11897-014-0241-5.
Reference Type
BACKGROUND
Shoemaker SJ, Wolf MS, Brach C. Development of the Patient Education Materials Assessment Tool (PEMAT): a new measure of understandability and actionability for print and audiovisual patient information. Patient Educ Couns. 2014 Sep;96(3):395-403. doi: 10.1016/j.pec.2014.05.027. Epub 2014 Jun 12.
Reference Type
BACKGROUND
Teng TK, Tromp J, Tay WT, Anand I, Ouwerkerk W, Chopra V, Wander GS, Yap JJ, MacDonald MR, Xu CF, Chia YM, Shimizu W; ASIAN-HF investigators; Richards AM, Voors A, Lam CS. Prescribing patterns of evidence-based heart failure pharmacotherapy and outcomes in the ASIAN-HF registry: a cohort study. Lancet Glob Health. 2018 Sep;6(9):e1008-e1018. doi: 10.1016/S2214-109X(18)30306-1.
Reference Type
BACKGROUND
Treskes RW, Van der Velde ET, Schoones JW, Schalij MJ. Implementation of smart technology to improve medication adherence in patients with cardiovascular disease: is it effective? Expert Rev Med Devices. 2018 Feb;15(2):119-126. doi: 10.1080/17434440.2018.1421456. Epub 2018 Jan 2.
Reference Type
BACKGROUND
Takeda A, Martin N, Taylor RS, Taylor SJ. Disease management interventions for heart failure. Cochrane Database Syst Rev. 2019 Jan 8;1(1):CD002752. doi: 10.1002/14651858.CD002752.pub4.
Reference Type
BACKGROUND
Sullivan MD, LaCroix AZ, Russo J, Katon WJ. Self-efficacy and self-reported functional status in coronary heart disease: a six-month prospective study. Psychosom Med. 1998 Jul-Aug;60(4):473-8. doi: 10.1097/00006842-199807000-00014.
Reference Type
BACKGROUND
van der Wal MH, Jaarsma T, Moser DK, van Veldhuisen DJ. Development and testing of the Dutch Heart Failure Knowledge Scale. Eur J Cardiovasc Nurs. 2005 Dec;4(4):273-7. doi: 10.1016/j.ejcnurse.2005.07.003. Epub 2005 Aug 29.
Reference Type
BACKGROUND
Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983 Jun;67(6):361-70. doi: 10.1111/j.1600-0447.1983.tb09716.x.
Reference Type
BACKGROUND
Zikmund V. Health--mental health--quality of life. Bratisl Lek Listy. 2001;102(11):527-9.
Reference Type
BACKGROUND
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
202201890B0
Identifier Type: -
Identifier Source: org_study_id