MedElevator Войти в исследования
← Поиск публикаций

DOI 10.2196/60453

Медицинская библиотека · JMIR formative research · 2024

Exploring the Perspectives of Older Adults on a Digital Brain Health Platform Using Natural Language Processing: Cohort Study.

Ding Huitong, Gifford Katherine, Shih Ludy C, Ho Kristi, Rahman Salman, Igwe Akwaugo, Low Spencer, Popp Zachary, Searls Edward, Li Zexu, Madan Sanskruti, Burk Alexa, Hwang Phillip H, Anda-Duran Ileana De, Kolachalama Vijaya B, Au Rhoda, Lin Honghuang

СтатьяПоддержка исследования: вне правительства СШАResearch Support, N.I.H., IntramuralПеревод пока не подготовлен

Аннотация

BACKGROUND

Although digital technology represents a growing field aiming to revolutionize early Alzheimer disease risk prediction and monitoring, the perspectives of older adults on an integrated digital brain health platform have not been investigated.

OBJECTIVE

This study aims to understand the perspectives of older adults on a digital brain health platform by conducting semistructured interviews and analyzing their transcriptions by natural language processing.

METHODS

The study included 28 participants from the Boston University Alzheimer's Disease Research Center, all of whom engaged with a digital brain health platform over an initial assessment period of 14 days. Semistructured interviews were conducted to collect data on participants' experiences with the digital brain health platform. The transcripts generated from these interviews were analyzed using natural language processing techniques. The frequency of positive and negative terms was evaluated through word count analysis. A sentiment analysis was used to measure the emotional tone and subjective perceptions of the participants toward the digital platform.

RESULTS

Word count analysis revealed a generally positive sentiment toward the digital platform, with "like," "well," and "good" being the most frequently mentioned positive terms. However, terms such as "problem" and "hard" indicated certain challenges faced by participants. Sentiment analysis showed a slightly positive attitude with a median polarity score of 0.13 (IQR 0.08-0.15), ranging from -1 (completely negative) to 1 (completely positive), and a median subjectivity score of 0.51 (IQR 0.47-0.53), ranging from 0 (completely objective) to 1 (completely subjective). These results suggested an overall positive attitude among the study cohort.

CONCLUSIONS

The study highlights the importance of understanding older adults' attitudes toward digital health platforms amid the comprehensive evolution of the digitalization era. Future research should focus on refining digital solutions to meet the specific needs of older adults, fostering a more personalized approach to brain health.

Для цитирования: Ding Huitong, Gifford Katherine, Shih Ludy C, Ho Kristi, Rahman Salman, Igwe Akwaugo, Low Spencer, Popp Zachary, Searls Edward, Li Zexu, Madan Sanskruti, Burk Alexa, Hwang Phillip H, Anda-Duran Ileana De, Kolachalama Vijaya B, Au Rhoda, Lin Honghuang. Exploring the Perspectives of Older Adults on a Digital Brain Health Platform Using Natural Language Processing: Cohort Study.. JMIR formative research. 2024. DOI: 10.2196/60453.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.