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AI analyzes heart failure Patients' stress and health literacy to predict quality of life

NCT ID NCT06923514

Knowledge-focused Sponsor: Cheng-Hsin General Hospital Source: ClinicalTrials.gov ↗

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This completed study looked at 158 heart failure patients aged 18-65 to see how health literacy and stress relate to their quality of life. Researchers used machine learning to analyze survey data. The goal was to find patterns that could help nurses and doctors better support patients and reduce hospital readmissions.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this could help doctors better predict which heart failure patients need extra support to improve their quality of life and reduce hospital readmissions.
What could go wrong
This is a small, completed observational study, not a treatment trial. The findings may not apply to all heart failure patients, and machine learning predictions are not guaranteed to improve care.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

158 people

The number who actually took part.

Started

Nov 2024

Finished

Nov 2025

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Heart failure patients

Ages

18 to 65 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * 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 Exclusion Criteria: * 1.severe mental disease.2. terminal stage of other disease such as cancer.

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Conditions

The condition(s) this trial relates to.

heart failure

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Heart failure

Contacts and locations

Locations

  • Cheng Hsin General Hospital

    Taipei, 112, Taiwan

More trials for these conditions

Other studies related to the condition(s) this trial covers.