m+Medelevator.RU
← Поиск публикаций
Cephalalgia : an international journal of headache · 2026

Influence of online health information and artificial intelligence on decision-making among migraine patients: A multinational cross-sectional study from the MENA region.

СтатьяМногоцентровое исследованиеНаблюдательное исследованиеНазвание и аннотация: Перевод пока не подготовлен
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.

Dahshan Ahmed, Mahfouz Khalil Marwa Ibrahim, Abdelfatah Dalia, Abu Ejheisheh Moath, Alshammari Mohammed Salfeeq H, Mekdad Ahmed Khalaf, Tiryag Ali Malik, Sherif Ghada Mohamed Attia, Hallaj Fatima, Hammooz Asmaa, Abdallah Merghani A Hussain, Baraka Samia Ibrahim Mabrouk, Baraka Nagwa Ibrahim Mabrouk, Ibrahim Ahmed Nouralhadi Ali, Noor Ali Mohammed, Khraisat Adam Mahmoud Salameh, Awad Osman Mohammed Ahmed, Eltayeb Lina Ahmed Elmobarak, Alhadidi Majdi, Hweissa Nada Ab, Al Buraiki Hassan Abdullah Ahmed, Ibraheem Olaa Abdalslam, Salameh Basma, Al Tabbah Samaa Ahmad Akram, Lawand Nabih Mohammad, Rezq Khulud Ahmad, Wahba Nadia Mohamed Ibrahim, Abd Al Jaleel Karrar Najah, Albagoush Nawal Ali, Alwahchi Wael, Mansor Khulud Mohammad Hashem, Al-Rawashdeh Ahmad Bahjat Ahmad, Al-Yafeai Taliaa Mohsen, Albalawi Haia Mahdi Hindi, Hakim Alaeldeen Hakim Mohamed, Mousa Enas Fouad Sayed, Sultan Hosny Maher Sultan, Abd El Fatah Nawara Khirallah, Farrag Mohammad A

Аннотация

AimThis study aimed to assess the impact of online health information and AI-based tools on treatment decisions, trust, and care-seeking behaviors among migraine patients in Arab speaking countries from MENA region.MethodsA multinational, cross-sectional online survey was conducted among 4276 adults with migraine across 13 MENA countries. Data collected included sociodemographic characteristics, migraine history, digital health literacy (eHEALS), AI tool usage, and trust in health information sources.ResultsThe mean eHealth literacy score was 29.9 ± 6.2. Overall, 75.6% demonstrated adequate digital health literacy. Neurologists and physicians were the most trusted sources, whereas social media influencers were the least trusted. Approximately one-third of participants reported modifying migraine treatment or delaying medical consultation based on online information. In multivariable analyses, higher trust in online information was strongly associated with delayed medical consultation (aOR 6.48, 95% CI 5.53-7.58, p < 0.001). In contrast, use of AI tools was associated with lower odds of reporting treatment modification based on online advice (aOR 0.29, 95% CI 0.17-0.49, p < 0.001). Higher trust in online information was consistently associated with both delayed care and treatment changes. Younger age, male sex, and active online information-seeking independently predicted AI use.ConclusionDigital health engagement, including trust in online sources and AI tool use, was significantly associated with migraine-related decision behaviors in this multinational MENA cohort. While AI use was linked to more cautious treatment behaviors, higher trust in online information was associated with delayed medical consultation and treatment modification. These findings highlight the importance of strengthening digital health literacy and promoting reliable online resources.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты