Endometriozis Araştırma ve Bakımını İyileştirmek İçin Dijital Sağlık

TY - CHAP T1 - Digital Health for Improved Endometriosis Research and Care AU - Kirk, Ulrik Bak AU - Büyüktaşkın, Fırat AU - Oral, Engin PY - 2024/10/4 Y1 - 2024/10/4 N2 - Endometriosis affects approximately 190 million women globally. Despite its high prevalence, diagnosis is delayed on average by 7-9 years, and delivery of effective therapy and care are often ineffective. Representing a high burden for patients, healthcare systems, and society, endometriosis remains an insufficiently understood and under-researched condition, mainly due to severe lack of research funding, in line with women's health in general. Digital health has the potential to significantly impact endometriosis research and care. Patient-reported outcome measures (PROMs), integrated with digital health tools, can enhance endometriosis care and self-management, leading to improved care processes, patient satisfaction, quality of life, and outcomes. Moreover, the rise of wearable and smartphone-based technologies has enabled longitudinal tracking of symptoms and health measures to be used in women's health research, including endometriosis. Traditional research methods using validated questionnaires for data collection have drawbacks; wearables and smartphones offer a more pragmatic solution to collect detailed and objective data over time, complementing self-reported patient data for gaining new insights into symptoms and therapy responses in endometriosis. Despite the potential advantages, only limited studies have explored wearable technologies in patients with endometriosis. This article will focus on apps for tracking health and management, highlighting a selected few endometriosis apps which have been utilised for digital public health research and care. Looking to the future, the integration of telemedicine and artificial intelligence is anticipated to play a significant role in the management of endometriosis, offering promising prospects for improved care and research. AB - Endometriosis affects approximately 190 million women globally. Despite its high prevalence, diagnosis is delayed on average by 7-9 years, and delivery of effective therapy and care are often ineffective. Representing a high burden for patients, healthcare systems, and society, endometriosis remains an insufficiently understood and under-researched condition, mainly due to severe lack of research funding, in line with women's health in general. Digital health has the potential to significantly impact endometriosis research and care. Patient-reported outcome measures (PROMs), integrated with digital health tools, can enhance endometriosis care and self-management, leading to improved care processes, patient satisfaction, quality of life, and outcomes. Moreover, the rise of wearable and smartphone-based technologies has enabled longitudinal tracking of symptoms and health measures to be used in women's health research, including endometriosis. Traditional research methods using validated questionnaires for data collection have drawbacks; wearables and smartphones offer a more pragmatic solution to collect detailed and objective data over time, complementing self-reported patient data for gaining new insights into symptoms and therapy responses in endometriosis. Despite the potential advantages, only limited studies have explored wearable technologies in patients with endometriosis. This article will focus on apps for tracking health and management, highlighting a selected few endometriosis apps which have been utilised for digital public health research and care. Looking to the future, the integration of telemedicine and artificial intelligence is anticipated to play a significant role in the management of endometriosis, offering promising prospects for improved care and research. M3 - Book chapter SN - 78-625-395-357-7 SP - 68 EP - 74 BT - Birinci Basamak Sağlık Hizmetlerinde E-Sağlık Uygulamaları ve Geleceği A2 - MEVSİM, Vildan PB - Turkiye Klinikleri Journal of Medical Sciences CY - Ankara ER -