assessing the performance of a computer-based policy model of hiv and aids评估性能的基于计算机的艾滋病毒和艾滋病的策略模型.pdf

Assessing the Performance of a Computer-Based Policy Model of HIV and AIDS 1,2 2 3 1,4 4 4,5,6 Chara E. Rydzak , Kara L. Cotich , Paul E. Sax , Heather E. Hsu , Bingxia Wang , Elena Losina , 1,2,4,6,7 2 2 Kenneth A. Freedberg , Milton C. Weinstein , Sue J. Goldie *, for the CEPAC Investigators 1 Harvard Medical School, Boston, Massachusetts, United States of America, 2 Department of Health Policy and Management, Harvard School of Public Health, Boston, Massachusetts, United States of America, 3 Division of Infectious Diseases, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America, 4 Division of General Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America, 5 Department of Orthopedic Surgery, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America, 6 Departments of Biostatistics and Epidemiology, Boston University School of Public Health, Boston, Massachusetts, United States of America, 7 Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America Abstract Background: Model-based analyses, conducted within a decision analytic framework, provide a systematic way to combine information about the natural history of disease and effectiveness of clinical management strategies with demographic and epidemiological characteristics of the population. Among the challenges with disease-specific modeling include the need to identify influential assumptions and to assess t