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Набор скоро начнётся NCT07620301

LLM Intervention for Tobacco in Underserved Populations (LIFT-UP)

Без фазы С лечением Smoking Cessation

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: LIFT-UP Chatbot.
Кому может быть актуально
Состояния в реестре: Smoking Cessation. Базовые параметры: от 18 лет · 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
США
Следующий шаг
Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →

Обзор

This study will test a tailored, multilingual tobacco cessation chatbot called LIFT-UP (LLM Intervention for Tobacco in Underserved Populations), designed to better meet the needs of people living in persistent poverty census tracts. This study will use 1:1 semi-structured interviews to explore social drivers of health impacting TC, as well as digital access and preferences among those living in PPCTs. This qualitative approach enables guided yet flexible exploration of key domains while capturing unanticipated insights relevant to refining the chatbot.

Подробное описание

Tobacco use is a major cause of cancer and is responsible for about half a million deaths in the United States each year. Because of this, helping people stop using tobacco is one of the most important ways to prevent cancer. Although tobacco use has decreased over time, many adults in the U.S. still use tobacco. Many people try to quit each year, but most quit attempts are not successful. One reason is that many people do not use proven, evidence-based quit support, such as counseling or quit medications.

People who live in areas with long-term poverty often face additional barriers that can make quitting harder. These areas may have fewer job and education opportunities, limited access to healthcare and community resources, and higher levels of day-to-day stress (for example, related to financial strain or lack of health insurance). People with lower income are just as likely to try to quit as those with higher income, but they are less likely to quit successfully and are less likely to use evidence-based quitting support. Many persistent poverty areas are also rural and have higher numbers of people who prefer to speak languages other than English, including Spanish, which creates an additional need for bilingual and culturally appropriate quit support.

Digital tools may help increase access to evidence-based tobacco cessation support in these communities. Mobile phone ownership is very common, including among people with lower incomes. However, some smartphone apps require reliable internet access or data plans, which can be a barrier. Text messaging is accessible on nearly all phones, does not require internet access, can be offered in multiple languages, and can be tailored to the needs of the user.

Text-based programs that use artificial intelligence (AI), such as large-language-model chatbots, may be especially useful because they can provide interactive support using natural language and can be delivered at scale. Chatbots have been used successfully in other areas of health, but many existing programs use fixed scripts and may not feel relevant or helpful for all groups. Importantly, most tobacco cessation chatbots have not been designed to address barriers faced by people living in persistent poverty areas.

Вмешательства

  • Поведенческое LIFT-UP Chatbot
    LIFT-UP Chatbot will be developed, evaluated, and refined using GARDE-Chat, an open-source chatbot authoring platform that has been used to support the development of chatbot-based interventions tested in large pragmatic clinical trials.

Первичные конечные точки

  • System Usability Scale (SUS) [Срок оценки: up to 1 day]
Вторичные конечные точки (4)
  • Usability - Chat Bot Usability Scale (BUS-11) [Срок оценки: up to 1 day]
  • Acceptability [Срок оценки: up to 1 day]
  • Digital Working Alliance [Срок оценки: up to 1 day]
  • Perceived cultural fit [Срок оценки: up to 1 day]

Критерии участия

Критерии включения

  • 18+ years old
  • Use ≥3 cigarettes/day on average
  • Motivated to quit in the next 30 days
  • Have a computer or tablet with internet access for 1:1 interviews
  • Speak English or Spanish
  • Home address is in an area characterized by persistent poverty

Критерии исключения

  • None

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

Здоровые добровольцы: Нет

Дизайн исследования

Распределение
Не применимо
Модель
Одна группа
Маскирование
Открытое
Основная цель
Другое

Центры проведения

США · 1 центр
  • Huntsman Cancer Institute/ University of Utah — Salt Lake City

Идентификаторы

NCT: NCT07620301 · HCI199440 · U54CA280812

Первоисточники (государственные реестры)

Открыть это исследование на ClinicalTrials.gov ↗