Heart FailureNCT06923514
Health Literacy, Stress and Quality of Life in Heart Failure Patients
An observational study of Heart Failure, run by Cheng-Hsin General Hospital at 1 site in Taiwan.
Trial summary
Heart failure is showing a trend of affecting younger individuals. Middle-aged heart failure patients are often the economic backbone of their families. Studies have also pointed out that approximately 38.5% of patients with acute heart failure are re-hospitalized within a year of discharge due to worsening symptoms. Read more about this study
- Who is it for?
- Ages 18 to 65 years
- Conditions the study is for
- Heart Failure
- How many people
- 158 participants
- Where
- 1 siteTaiwan
- Study dates
- 20 Nov 2024to 3 Nov 2025
- Phase
- Observational
- 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 18 to 65 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Heart failure patients
Who may be able to join
- The study subjects are cardiology patients aged 18-65 diagnosed with heart failure classified as NYHA II or above by specialists at a regional teaching hospital in northern Taiwan
Who cannot join
- 1.severe mental disease.2. terminal stage of other disease such as cancer.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Using Machine Learning to Analyze the Prediction and Correlation of Health Literacy, Stress and Quality of Life in Heart Failure Patients
Heart failure is showing a trend of affecting younger individuals. Middle-aged heart failure patients are often the economic backbone of their families. Studies have also pointed out that approximately 38.5% of patients with acute heart failure are re-hospitalized within a year of discharge due to worsening symptoms. Patients with lower health literacy tend to have poorer health outcomes and higher re-hospitalization rates. However, there is limited research on the life and work stress, health literacy, and quality of life of middle-aged heart failure patients. Therefore, this study aims to use machine learning to analyze and predict the correlations between health literacy, stress, and quality of life in heart failure patients.
This research is a cross-sectional correlational study, adopting convenience sampling. The study subjects are cardiology patients aged 18-65 diagnosed with heart failure classified as NYHA II or above by specialists at a regional teaching hospital in northern Taiwan. Data collection took place in the outpatient and inpatient departments of cardiology and cardiothoracic surgery. Structured questionnaires were used for one-on-one interviews, including basic demographic information of heart failure patients, the Chinese version of the European Health Literacy Survey Questionnaire (HLS-EU-Q47), the Chinese version of the Brief Resilience Scale (BRS), the Perceived Stress Scale (PSS), and the Minnesota Living with Heart Failure Questionnaire (MLHFQ). Data will be recorded using Excel, and statistical analysis will be conducted using SPSS version 22. Descriptive statistics such as percentages, means, and standard deviations will be used to describe the demographic and variable distributions. Independent t-tests, ANOVA, and Pearson correlation coefficient will be used to analyze correlations between variables. Machine learning will be employed to analyze and predict quality of life factors in heart failure patients. It is hoped that the results of this study can provide references for nursing practice, help with clinical patient assessment, and improve the quality of care for patients.
- Conditions
- Heart Failure
- Keywords
- Machine learning, health literacy, stress, quality of life.
- Medical subject headings
- Heart Failure
What is being measured
The primary outcome is the main question the study is designed to answer.
Minnesota Living with Heart Failure Questionnaire
Use the Chinese version of the Minnesota Heart Failure Quality of Life to assess quality of life.
Use the Chinese version of the Minnesota Heart Failure Quality of Life Questionnaire.There are 21 questions in total, scored from 0 to 5, with a total score of 105. The higher the score, the more serious the impact of the disease on life.
Measured: one year
Secondary outcomes (1)
health literacy
Use the Chinese version of European Health Literacy Survey Questionnaire (HLS-EU-Q) to assess health literacy .
Use the Chinese version of HLS-EU-Q.There are 47 questions in total. Based on a four-point Likert scale, Total score 0-50. 0-25 means Inadequate,26-33 means Problematic,34-42 means Sufficient,43-50 means Excellent.
Measured: one year
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted11 Apr 2025
- Study start20 Nov 2024
- Primary completion3 Nov 2025
- Study completion3 Nov 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (5)Papers the sponsor has linked to this study.
- Other trials for Heart FailureStudies of the same condition, open and under way.
- 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
- Observational
- Observational model
- Case only
- Time perspective
- Cross-sectional
- Enrolment
- 158 participants (actual)
Sponsor and investigators
- Lead sponsor
- Cheng-Hsin General Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Hei-Fen Hwang, PhD, Study director, Natinal Taipei University of Nursing and Health Sciencs
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06923514
- Sponsor's protocol ID
- (1133)113A-63
- Status last verified
- Mar 2026
- First submitted
- 18 Mar 2025
- Last updated
- 19 Mar 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Kuhn TA, Gathright EC, Dolansky MA, Gunstad J, Josephson R, Hughes JW. Health Literacy, Cognitive Function, and Mortality in Patients With Heart Failure. J Cardiovasc Nurs. 2022 Jan-Feb 01;37(1):50-55. doi: 10.1097/JCN.0000000000000855.
PubMed 34581712Jiang S, Zhang X, Li X, Li Y, Yang W, Yao Y, Fu L, Zhao M, Zang X. Exploring Health Literacy Categories in Patients With Heart Failure: A Latent Class Analysis. J Cardiovasc Nurs. 2023 Jan-Feb 01;38(1):13-22. doi: 10.1097/JCN.0000000000000889. Epub 2022 Jan 13.
PubMed 36508237Heo S, Kang J, Shin MS, Lim YH, Kim SH, Kim S, An M, Kim J. Physical Symptoms, Depressive Symptoms, and Quality of Life in Patients With Heart Failure: Cluster Analysis. J Cardiovasc Nurs. 2024 Jan-Feb 01;39(1):31-37. doi: 10.1097/JCN.0000000000001043. Epub 2023 Sep 29.
PubMed 37787730Gowani AAA, Low G, Norris C, Hoben M. Internal structure validity and internal consistency reliability of the Minnesota Living with Heart Failure Questionnaire: a systematic review protocol. BMJ Open. 2023 Nov 8;13(11):e076780. doi: 10.1136/bmjopen-2023-076780.
PubMed 37940148Cajita MI, Cajita TR, Han HR. Health Literacy and Heart Failure: A Systematic Review. J Cardiovasc Nurs. 2016 Mar-Apr;31(2):121-30. doi: 10.1097/JCN.0000000000000229.
PubMed 25569150
Study at a glance
From the registry record, last updated by the sponsor on 19 Mar 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Using Machine Learning to Analyze the Prediction and Correlation of Health Literacy, Stress and Quality of Life in Heart Failure Patients
- ClinicalTrials.gov ID
- NCT06923514
- Acronym / sponsor ID
- (1133)113A-63
- Conditions
- Heart Failure
- Keywords
- Machine learning, health literacy, stress, quality of life.
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 158 participants (actual)
- Lead sponsor
- Cheng-Hsin General HospitalUniversity, hospital or other
- Study start
- 20 Nov 2024 (actual)
- Primary completion
- 3 Nov 2025 (actual)
- Study completion
- 3 Nov 2025 (actual)
- First posted
- 11 Apr 2025 (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 showing a trend of affecting younger individuals. Middle-aged heart failure patients are often the economic backbone of their families. Studies have also pointed out that approximately 38.5% of patients with acute heart failure are re-hospitalized within a year of discharge due to worsening symptoms. Patients with lower health literacy tend to have poorer health outcomes and higher re-hospitalization rates. However, there is limited research on the life and work stress, health literacy, and quality of life of middle-aged heart failure patients. Therefore, this study aims to use machine learning to analyze and predict the correlations between health literacy, stress, and quality of life in heart failure patients.
This research is a cross-sectional correlational study, adopting convenience sampling. The study subjects are cardiology patients aged 18-65 diagnosed with heart failure classified as NYHA II or above by specialists at a regional teaching hospital in northern Taiwan. Data collection took place in the outpatient and inpatient departments of cardiology and cardiothoracic surgery. Structured questionnaires were used for one-on-one interviews, including basic demographic information of heart failure patients, the Chinese version of the European Health Literacy Survey Questionnaire (HLS-EU-Q47), the Chinese version of the Brief Resilience Scale (BRS), the Perceived Stress Scale (PSS), and the Minnesota Living with Heart Failure Questionnaire (MLHFQ). Data will be recorded using Excel, and statistical analysis will be conducted using SPSS version 22. Descriptive statistics such as percentages, means, and standard deviations will be used to describe the demographic and variable distributions. Independent t-tests, ANOVA, and Pearson correlation coefficient will be used to analyze correlations between variables. Machine learning will be employed to analyze and predict quality of life factors in heart failure patients. It is hoped that the results of this study can provide references for nursing practice, help with clinical patient assessment, and improve the quality of care for patients.
Study design
- Observational model
- Case only
- Time perspective
- Cross-sectional
Who may qualify
- Ages
- 18 to 65 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Heart failure patients
Key inclusion criteria (1 listed)
- The study subjects are cardiology patients aged 18-65 diagnosed with heart failure classified as NYHA II or above by specialists at a regional teaching hospital in northern Taiwan
Key exclusion criteria (1 listed)
- 1.severe mental disease.2. terminal stage of other disease such as cancer.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Minnesota Living with Heart Failure Questionnaire
Time frame: one year
Use the Chinese version of the Minnesota Heart Failure Quality of Life to assess quality of life. Use the Chinese version of the Minnesota Heart Failure Quality of Life Questionnaire.There are 21 questions in total, scored from 0 to 5, with a total score of 105. The higher the score, the more serious the impact of the disease on life.
1 secondary outcome
health literacy
Time frame: one year
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 19 Mar 2026.
- Results publication: PubMed 34581712Kuhn TA, Gathright EC, Dolansky MA, Gunstad J, Josephson R, Hughes JW. Health Literacy, Cognitive Function, and Mortality in Patients With Heart Failure. J Cardiovasc Nurs. 2022 Jan-Feb 01;37(1):50-55. doi: 10.1097/JCN.0000000000000855.
- Results publication: PubMed 36508237Jiang S, Zhang X, Li X, Li Y, Yang W, Yao Y, Fu L, Zhao M, Zang X. Exploring Health Literacy Categories in Patients With Heart Failure: A Latent Class Analysis. J Cardiovasc Nurs. 2023 Jan-Feb 01;38(1):13-22. doi: 10.1097/JCN.0000000000000889. Epub 2022 Jan 13.
- Results publication: PubMed 37787730Heo S, Kang J, Shin MS, Lim YH, Kim SH, Kim S, An M, Kim J. Physical Symptoms, Depressive Symptoms, and Quality of Life in Patients With Heart Failure: Cluster Analysis. J Cardiovasc Nurs. 2024 Jan-Feb 01;39(1):31-37. doi: 10.1097/JCN.0000000000001043. Epub 2023 Sep 29.
- Results publication: PubMed 37940148Gowani AAA, Low G, Norris C, Hoben M. Internal structure validity and internal consistency reliability of the Minnesota Living with Heart Failure Questionnaire: a systematic review protocol. BMJ Open. 2023 Nov 8;13(11):e076780. doi: 10.1136/bmjopen-2023-076780.
- Results publication: PubMed 25569150Cajita MI, Cajita TR, Han HR. Health Literacy and Heart Failure: A Systematic Review. J Cardiovasc Nurs. 2016 Mar-Apr;31(2):121-30. doi: 10.1097/JCN.0000000000000229.
- Individual participant dataSharing planned: No
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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.
Hei-Fen Hwang, PhD study director
Natinal Taipei University of Nursing and Health Sciencs
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Heart Failure, run by Cheng-Hsin General Hospital at 1 site in Taiwan.
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 19 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 Taiwan. 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?
Minnesota Living with Heart Failure Questionnaire (time frame: one year). 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 NCT06923514, which also lists 5 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 19 Mar 2026.