340Bwell Unveils Innovative Research on STD Clinic Optimization at Global HIV/AIDS Conferences
TL;DR
340Bwell showcased cutting edge research at global HIV/AIDS conferences, positioning themselves as leaders in STD clinic optimization.
The research involved using regular client demographic and clinical data to uncover findings related to PrEP retention and appointment scheduling dynamics.
340Bwell's innovative solutions aim to improve patient outcomes, clinic efficiency, and care access, ultimately advancing healthcare for underserved populations.
The Bwell team presented a novel telehealth model for PrEP service delivery and highlighted the paucity of research on PrEP retention in the global south.
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340Bwell, a leader in 340B consulting and solutions, has presented cutting-edge research at two prominent global HIV/AIDS conferences, potentially revolutionizing the way STD clinics operate and allocate resources. The company showcased its findings at the HIV4Prevention Conference in Lima, Peru, and the Fast Track City Conference in Paris, France, demonstrating a commitment to evidence-based decision-making in healthcare.
At the Fast Track City Conference, 340Bwell highlighted a critical gap in PrEP (Pre-Exposure Prophylaxis) retention research in the global south. Their systematic review revealed that over 50% of PrEP retention studies were conducted in the United States, with South Africa and Kenya following at 14.2% and 12.5% respectively. This disparity in research focus could have significant implications for global HIV prevention strategies, particularly in underserved regions.
The company also introduced a novel telehealth model for PrEP service delivery, utilizing in-house assembled testing kits to reduce costs and expand access. This innovative approach could potentially transform HIV prevention efforts, making PrEP more accessible to vulnerable populations.
At the HIV4Prevention Conference, 340Bwell presented two posters with far-reaching implications for clinic efficiency. The first explored the science of appointment scheduling, revealing statistically significant associations between client attendance and factors such as appointment day, time slot, and whether the appointment was in-clinic or via telehealth. The second poster demonstrated the potential of machine learning to predict client attendance using routine data.
These findings are particularly relevant given the high no-show rates at U.S. PrEP clinics. No-shows and cancellations not only result in missed opportunities for PrEP therapy but also waste clinic time and resources. The predictive models and insights presented by 340Bwell could help clinics optimize their resources, potentially leading to improved patient care and more efficient operations.
The research presented by 340Bwell at these global conferences represents a significant step forward in the optimization of STD clinics and HIV prevention efforts. By leveraging data-driven strategies and innovative technologies, the company is paving the way for more effective, efficient, and accessible HIV/AIDS prevention and treatment services worldwide.
Curated from News Direct
