Optimal Strategies for PID Prevention and Management

PID 预防和管理的最佳策略

• 批准号: 6777940
• 负责人: KENNETH J SMITH
• 金额: $ 12.66万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-06-01 至 2008-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6777940
• 关键词: HIV infections; behavior modification; clinical research; clinical trials; communicable disease control; computer simulation; decision making; disease /disorder etiology; disease /disorder prevention /control; disease /disorder proneness /risk; female; gynecology; health care model; health economics; human data; human subject; human therapy evaluation; medical complication; model design /development; outcomes research; outpatient care; pathologic process; patient care management; patient oriented research; pelvic inflammatory disease; preference; quality of life; women' s health

DESCRIPTION (provided by applicant): Over a period of years, I've begun to master decision and cost-effectiveness analysis techniques, allowing me to embark on several primary care infectious disease projects as a sidelight to significant responsibilities in clinical, educational, and administrative roles. To become an independent, rigorous researcher, I need more thorough research training and the release from other duties that a K23 award allows. The centerpiece of career development activities will be the K30 supported Clinical Research Training Program at the University of Pittsburgh, providing necessary background in clinical research fundamentals and formal training in biostatistics, decision sciences, medical economics, and database analysis. Along with this program, my primary mentor, Mark S. Roberts, MD, MPP, an expert in medical decision sciences, will continue our long-term research and educational collaboration. Roberta Ness, MD, MPH will act as co-mentor, providing expertise on women's health and sexually transmitted disease epidemiology and, as the principal investigator of the PID Evaluation and Clinical Health (PEACH) Study, access to data on the evaluation, treatment, and costs of pelvic inflammatory disease. Other advisors will add expertise in patient preference assessment, sexually transmitted disease prevention and treatment, simulation modeling techniques, and medical economics. My project will be the development of a clinically realistic simulation model of PID, using primarily collected patient utility data as well as data from the PEACH Study and other sources. Optimal care of women with PID will be modeled by synthesis of available data, capturing the tension between evidence-based best practice, patient preferences for therapeutic options and health states, and the costs of PID and its complications. The model will also allow examination of subgroups with different risk profiles and of the impact of preventive measures on PID incidence, complications, and costs. Using the model, we expect to explore questions that clinical trials are not well suited to answer regarding optimal PID management in different risk subgroups, timing of PID preventive strategies, and the impact of different screening methods and strategies on clinical outcomes and costs.

描述（由申请人提供）：多年来，我开始掌握决策和成本效益分析技术，使我能够开始进行几个初级保健感染疾病项目，以此作为对临床，教育和行政角色的重要责任。为了成为一名独立，严格的研究人员，我需要更彻底的研究培训，并从K23奖允许的其他职责中发布。 职业发展活动的核心将是匹兹堡大学的K30支持的临床研究培训计划，为临床研究基础和生物统计学，决策科学，医学经济学和数据库分析提供了必要的背景。与该计划一起，我的主要导师Mark S. Roberts，医学博士MPP（医学决策科学专家）将继续我们的长期研究和教育合作。 MD，MD的Roberta Ness将担任同事，提供有关妇女健康和性传播疾病流行病学的专业知识，并作为PID评估和临床健康（PEACH）研究的主要研究者，访问骨盆炎症性疾病的评估，治疗和成本的数据。其他顾问将在患者偏好评估，性传播的预防和治疗，模拟建模技术和医学经济学方面增加专业知识。 我的项目将是使用主要收集的患者效用数据以及桃子研究和其他来源的数据开发PID的临床现实模拟模型。对患有PID的女性的最佳护理将通过合成可用数据的综合，捕获基于证据的最佳实践，患者对治疗选择和健康状态的偏好以及PID及其并发症的成本之间的张力。该模型还将允许检查具有不同风险概况的亚组，以及预防措施对PID发病率，并发症和成本的影响。使用该模型，我们期望探索问题，即临床试验不适合回答有关不同风险亚组中最佳PID管理，PID预防策略的时机以及不同筛查方法和策略对临床结果和成本的影响。