- Browse by Subject
Browsing by Subject "Women's health"
Now showing 1 - 4 of 4
Results Per Page
Sort Options
Item Big Data and Dysmenorrhea: What Questions Do Women and Men Ask About Menstrual Pain?(Mary Ann Liebert, 2018-10) Chen, Chen X.; Groves, Doyle; Miller, Wendy R.; Carpenter, Janet S.; School of NursingBACKGROUND: Menstrual pain is highly prevalent among women of reproductive age. As the general public increasingly obtains health information online, Big Data from online platforms provide novel sources to understand the public's perspectives and information needs about menstrual pain. The study's purpose was to describe salient queries about dysmenorrhea using Big Data from a question and answer platform. MATERIALS AND METHODS: We performed text-mining of 1.9 billion queries from ChaCha, a United States-based question and answer platform. Dysmenorrhea-related queries were identified by using keyword searching. Each relevant query was split into token words (i.e., meaningful words or phrases) and stop words (i.e., not meaningful functional words). Word Adjacency Graph (WAG) modeling was used to detect clusters of queries and visualize the range of dysmenorrhea-related topics. We constructed two WAG models respectively from queries by women of reproductive age and bymen. Salient themes were identified through inspecting clusters of WAG models. RESULTS: We identified two subsets of queries: Subset 1 contained 507,327 queries from women aged 13-50 years. Subset 2 contained 113,888 queries from men aged 13 or above. WAG modeling revealed topic clusters for each subset. Between female and male subsets, topic clusters overlapped on dysmenorrhea symptoms and management. Among female queries, there were distinctive topics on approaching menstrual pain at school and menstrual pain-related conditions; while among male queries, there was a distinctive cluster of queries on menstrual pain from male's perspectives. CONCLUSIONS: Big Data mining of the ChaCha® question and answer service revealed a series of information needs among women and men on menstrual pain. Findings may be useful in structuring the content and informing the delivery platform for educational interventions.Item Dermatographism with vulvar symptoms(Elsevier, 2021-05-05) Rivera, Sydney; Mirowski, Ginat W.; Dermatology, School of MedicineDermatographism (DG) is characterized by a localized, inducible, wheal-and-flare response along the distribution of mechanical pressure. We report an illustrative case of DG with vulvar symptoms (DG-VS) and review the literature on this rarely recognized but easily treated etiology of vulvar complaints. A 35-year-old woman presented with a 1-year history of vulvar pruritus unresponsive to antifungal, antibacterial, and steroid treatments. A prior punch biopsy was nondiagnostic. Vulvar examination revealed normal architecture and no cutaneous abnormalities. She was markedly dermatographic with a scratch test. DG-VS was diagnosed. The patient achieved complete symptomatic control on low-dose hydroxyzine. She maintains excellent control at 3.5 years. In the literature, a typical patient with DG-VS is of reproductive age, with several years' history of vulvar symptoms (itching, burning, pain, or swelling) and repeated empiric treatment for infectious/inflammatory etiologies. Exacerbation with sexual activity, menstruation, or wearing tight clothing is characteristic and supports the role of mechanical pressure in inducing focal symptoms. Dermatologic changes to the vulvar skin are rarely noted. DG-VS is diagnosed based on clinical findings, symptom patterns, and a positive scratch test and is treated with antihistamines. DG-VS remains absent from current vulvar disease guidelines. In the complex world of vulvar pain and itch, an etiology so easily screened for and readily treated warrants consideration.Item Group Dynamics and Allocation of Advanced Heart Failure Therapies-Heart Transplants and Ventricular Assist Devices-By Gender, Racial, and Ethnic Group(American Heart Association, 2023) Breathett, Khadijah; Yee, Ryan; Pool, Natalie; Thomas Hebdon, Megan C.; Knapp, Shannon M.; Herrera-Theut, Kathryn; de Groot, Esther; Yee, Erika; Allen, Larry A.; Hasan, Ayesha; Lindenfeld, JoAnn; Calhoun, Elizabeth; Carnes, Molly; Sweitzer, Nancy K.; Medicine, School of MedicineBackground: US regulatory framework for advanced heart failure therapies (AHFT), ventricular assist devices, and heart transplants, delegate eligibility decisions to multidisciplinary groups at the center level. The subjective nature of decision‐making is at risk for racial, ethnic, and gender bias. We sought to determine how group dynamics impact allocation decision‐making by patient gender, racial, and ethnic group. Methods and Results: We performed a mixed‐methods study among 4 AHFT centers. For ≈ 1 month, AHFT meetings were audio recorded. Meeting transcripts were evaluated for group function scores using de Groot Critically Reflective Diagnoses protocol (metrics: challenging groupthink, critical opinion sharing, openness to mistakes, asking/giving feedback, and experimentation; scoring: 1 to 4 [high to low quality]). The relationship between summed group function scores and AHFT allocation was assessed via hierarchical logistic regression with patients nested within meetings nested within centers, and interaction effects of group function score with gender and race, adjusting for patient age and comorbidities. Among 87 patients (24% women, 66% White race) evaluated for AHFT, 57% of women, 38% of men, 44% of White race, and 40% of patients of color were allocated to AHFT. The interaction between group function score and allocation by patient gender was statistically significant (P=0.035); as group function scores improved, the probability of AHFT allocation increased for women and decreased for men, a pattern that was similar irrespective of racial and ethnic groups. Conclusions: Women evaluated for AHFT were more likely to receive AHFT when group decision‐making processes were of higher quality. Further investigation is needed to promote routine high‐quality group decision‐making and reduce known disparities in AHFT allocation.