The Outcomes Research Program has the following four specific aims: 1) Evaluate the outcomes of cancer, including health-related quality of life, in a broad range of health care settings 2) Assess the effectiveness and costs of new &established interventions to prevent, detect and treat cancer 3) Identity determinants of the quality of cancer care 4) Characterize barriers to optimal care with a special focus on racial, ethnic and socioeconomic disparities in cancer care and approaches to eliminate disparities in care To achieve these objectives, the Program has assembled a multi-disciplinary group of investigators with demonstrated expertise in the methods of health services research and a proven commitment to the study of cancer outcomes. Their research spans the continuum from basic methodological studies, through clinical applications, to policy applications. The Program was originally funded in 2000 when Dana-Farber/Harvard Cancer Center was established, and it was rated as """"""""outstanding"""""""" in the last renewal in 2005. The Program is led by J. Ayanian(BWH) and J.Weeks(DFCI) and currently has 54 members from 11 HMS departments and three HSPH departments with representation from all seven member institutions. In 2009, Program members were awarded $14.2 million in research funding (total costs), which includes over $9 million in NCI funding and $2.8 million in other federal peer-reviewed funding. The total number of publications from members of the Program during the project period (2006 to 2010) was 1,055. Ofthese 17% ofthese were intra-programmatic collaborations, 33% were inter-programmatic, and 24% were inter-institutional.
The Outcomes Research Program focuses on enhancing the effectiveness and cost-effectiveness of interventions to prevent, diagnose and treat cancer and its consequences. The primary focus is on evaluating interventions that optimize patient-oriented outcomes, identifying barriers to optimal care of all patients, defining approaches to eliminate these barriers, and ensuring that society's resources are allocated effectively to achieve those goals.
|Francini, Edoardo; Gray, Kathryn P; Xie, Wanling et al. (2018) Time of metastatic disease presentation and volume of disease are prognostic for metastatic hormone sensitive prostate cancer (mHSPC). Prostate 78:889-895|
|Hu, Yanhui; Vinayagam, Arunachalam; Nand, Ankita et al. (2018) Molecular Interaction Search Tool (MIST): an integrated resource for mining gene and protein interaction data. Nucleic Acids Res 46:D567-D574|
|Mohr, Stephanie E; Rudd, Kirstin; Hu, Yanhui et al. (2018) Zinc Detoxification: A Functional Genomics and Transcriptomics Analysis in Drosophila melanogaster Cultured Cells. G3 (Bethesda) 8:631-641|
|Odiaka, Emeka; Lounsbury, David W; Jalloh, Mohamed et al. (2018) Effective Project Management of a Pan-African Cancer Research Network: Men of African Descent and Carcinoma of the Prostate (MADCaP). J Glob Oncol :1-12|
|Mills, Evanna L; Pierce, Kerry A; Jedrychowski, Mark P et al. (2018) Accumulation of succinate controls activation of adipose tissue thermogenesis. Nature 560:102-106|
|Oser, Matthew G; Fonseca, Raquel; Chakraborty, Abhishek A et al. (2018) Cells Lacking the RB1 Tumor Suppressor Gene are Hyperdependent on Aurora B Kinase for Survival. Cancer Discov :|
|Choudhury, Atish D; Gray, Kathryn P; Supko, Jeffrey G et al. (2018) A dose finding clinical trial of cabozantinib (XL184) administered in combination with abiraterone acetate in metastatic castration-resistant prostate cancer. Prostate :|
|Watson, Noreen L; Mull, Kristin E; Heffner, Jaimee L et al. (2018) Participant Recruitment and Retention in Remote eHealth Intervention Trials: Methods and Lessons Learned From a Large Randomized Controlled Trial of Two Web-Based Smoking Interventions. J Med Internet Res 20:e10351|
|Pednekar, M S; Nagler, E M; Gupta, P C et al. (2018) Scaling up a tobacco control intervention in low resource settings: a case example for school teachers in India. Health Educ Res 33:218-231|
|Braun, Danielle; Yang, Jiabei; Griffin, Molly et al. (2018) A Clinical Decision Support Tool to Predict Cancer Risk for Commonly Tested Cancer-Related Germline Mutations. J Genet Couns 27:1187-1199|
Showing the most recent 10 out of 411 publications