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Идёт набор NCT07562321

AI-SUPPORTED FLIPPED LEARNING IN BREAST SELF-EXAMINATION TRAINING

Без фазы С лечением Artifical Intelligence Nursing Education Breast Self-Examination

Ориентир для пациента и семьи

Простыми словами

Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.

Что изучают
В протоколе указаны: Artificial Intelligence-Supported Flipped Learning Model-Based Breast Self-Examination Training.
Кому может быть актуально
Состояния в реестре: Artifical Intelligence, Nursing Education, Breast Self-Examination. Базовые параметры: Без ограничений · Все.
Что важно проверить
Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
Где проводится
Turkey (Türkiye)
Следующий шаг
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Официальное название

IMPACT OF AN AI-SUPPORTED FLIPPED LEARNING MODEL ON NURSING STUDENTS' BREAST SELF-EXAMINATION KNOWLEDGE AND PERFORMANCE: A RANDOMIZED CONTROLLED TRIAL

Обзор

The global increase in cancer cases has made breast cancer the second most common cancer after lung cancer and a primary health problem among women. Early diagnosis is the most critical factor in improving survival rates and quality of life in breast cancer. Breast self-examination (BSE), which enables individuals to notice changes in their own breast tissue during the early diagnosis process, is a low-cost and effective awareness method. It is essential that nurses, who play a key role in raising public awareness on this issue, and nursing students, who are the future healthcare professionals, have sufficient knowledge and practical skills in BSE. However, the literature shows that even if students have theoretical knowledge, their application rates are low. In this context, the "AI-Supported Flipped Learning" model, which goes beyond traditional methods and supports active learning, personalized feedback, and digital literacy, has the potential to be an innovative solution in nursing education. Objective: This study aims to evaluate the effect of AI-supported flipped learning model and traditional education on the knowledge levels and performance skills of nursing students regarding BSE knowledge and skills.

Вмешательства

  • Поведенческое Artificial Intelligence-Supported Flipped Learning Model-Based Breast Self-Examination Training
    An AI-supported reverse learning model-based intervention for breast self-examination training. This intervention has not been seen in any previous studies.

Первичные конечные точки

  • Self-Breast Examination Information Form [Срок оценки: This form will be administered to all students as a pre-test and post-test, both before and after the procedure. Before the procedure and 2 weeks after the procedure.]
  • Breast Self-Examination Skill Checklist [Срок оценки: This form will be administered to all students as a post-test 2 weeks after the application.]

Критерии участия

Критерии включения

  • Being a second-year student in a nursing undergraduate program
  • Not having previously received breast examination training
  • Having signed the voluntary consent form

Критерии исключения

  • Having any health problem that would prevent continuing to work
  • Requesting to withdraw from work voluntarily

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Да

Дизайн исследования

Распределение
Рандомизированное
Модель
Параллельные группы
Маскирование
Простое слепое
Основная цель
Другое

Центры проведения

Turkey (Türkiye) · 1 центр
  • Baskent University — Ankara

Идентификаторы

NCT: NCT07562321 · 17162298.600-89

Первоисточники (государственные реестры)

Открыть это исследование на ClinicalTrials.gov ↗