Uterine Fibroids: Assessing Unmet Needs from Bench to Bedside.
Irene O AninyeMelissa H LaitnerPublished in: Journal of women's health (2002) (2021)
Uterine fibroids (leiomyomas) are noncancerous growths that can have deleterious effects on the health and quality of life for millions of women. Attempts to better understand the factors that influence prevalence and disparities associated with fibroids have been made; however, significant knowledge gaps continue to persist, which hinder care for individuals living with fibroids. The Society for Women's Health Research convened an interdisciplinary Uterine Fibroids Working Group to review the current state of knowledge about uterine fibroids and recommend areas in which to prioritize efforts to address research gaps and improve diagnosis, treatment, and access to care for patients with this chronic disease. Throughout a 2-day roundtable meeting, participants discussed updates on key literature, research, clinical practice, and public health data on uterine fibroids. Overarching themes and recommendations were identified and determined by consensus agreement of the participants at the conclusion of the meeting. Systematic studies of the etiology and pathology of uterine fibroids are needed to address important knowledge gaps and unmet clinical needs regarding the multifaceted management of fibroids and their effects on overall health and quality of life. The Working Group recommends addressing key deficits within the spheres of research, clinical care, and federal policy. Immediate needs include increasing research investment, improving fibroid assessment using pelvic imaging, implementing longitudinal study designs, addressing factors that contribute to disease disparities (especially among women of color), developing fertility-friendly treatment options, expanding awareness and education beyond gynecologic specialists, and advancing personalized patient care through shared decision-making approaches.
Keyphrases
- healthcare
- pregnancy outcomes
- public health
- quality improvement
- clinical practice
- pregnant women
- polycystic ovary syndrome
- affordable care act
- mental health
- systematic review
- traumatic brain injury
- type diabetes
- metabolic syndrome
- high resolution
- risk factors
- insulin resistance
- global health
- machine learning
- cervical cancer screening
- health insurance
- risk assessment
- electronic health record
- deep learning
- social media
- breast cancer risk