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HHS/Agency for Healthcare Research and Quality

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Abstract Text:
 DESCRIPTION (provided by applicant): The goal of this project is to integrate decision modeling into decision aid (DA) development. We aim to help older women with early stage breast cancer decide whether to receive radiotherapy (RT). The guidelines suggest that adjuvant RT after breast-conserving surgery may be omitted for breast cancer patients who are older, have limited life expectancy due to comorbidities, and have favorable tumor characteristics, highlighting the necessity of individualized considerations. This issue is particularly important for the older population because approximately two-thirds of older Americans have at least two chronic health conditions. DAs hold the promise of facilitating patient-centered care by helping patients make decisions based on their goals and preferences. Successful DAs should be created in a truly patient-engaged manner: patients want information that is individually tailored, and clinicians aim to provide patient-specific advice. We envision two separate steps where decision modeling has the potential to improve current DAs. First, we will apply decision modeling to obtain individualized outcomes estimates, which are intended to replace generic information based on average outcomes. Second, we will use decision modeling to provide a treatment recommendation by integrating information about the probabilities of specific outcomes and the patient values regarding treatments and outcomes. We will then rigorously assess how individualized recommendations affect decision conflict, health outcomes, and RT utilization. Our findings will have important implications, including emphasizing patient-centeredness care, encouraging patient-physician communication, and shedding light on future DA development. Throughout the entire research, we place a great emphasis on incorporating input from patients and physicians in every step of the design and evaluation of our DA. We will organize a patient advisory board (patients, family members, and community members) and a steering committee (providers and researchers), and both will also have joint meetings regularly. We will apply the philosophy of community-based participatory research to monitor the conduct of the project, help plan the dissemination of the project's results, and formulate future research questions and study design. Our proposed DA can disseminate evidence-based information to patients and physicians, enhance their use of this information, and help them communicate risks and benefits. Regarding the candidate's experience, I went to the University of Minnesota to pursue a PhD degree in Health Services Research In 2007. My interests focus on outcomes research and decision modeling, specifically for breast cancer care. Applying different methodologies, I have been the lead author of five breast-cancer-related papers since 2009. After graduation in 2012, I became an assistant professor at Yale School of Public Health. I have been working closely with Dr. Cary Gross and other colleagues at the Yale Cancer Center. Furthermore, I have been expanding my research into the area of shared decision-making, which has the potential to improve the health of individual patients and help control healthcare spending. I clearly see the advantages of incorporating decision modeling into DAs, yet realize that I have not had the experience in developing DAs or engaging patients in the research process. Additional training in these two areas will be crucial for my career development. The proposed project builds upon my earlier work, to further our understanding of the utility of decision modeling in decision aid development. There are many resources available to facilitate my career development, including the academic facilities of Yale University School of Medicine, School of Public Health, and School of Management. My interdisciplinary mentoring/research team consists of renowned investigators. With collaborative input from them, I will perform the research and career development activities outlined in this grant application. My immediate career goals are to bolster expertise in individualized medical decision making, enhance research skills and integrate patient values in research process, and improve stakeholder engagement. By allotting five years to this important phase of my career development, I will be able to foster patient-centered and evidence-based healthcare, as well as to become an independent investigator to advance methodologies in decision aid development. Upon completion of the proposed project, I look forward to pursuing additional patient-centered projects beyond the current scope.
Project Terms:
Adjuvant Radiotherapy; Affect; American; Applications Grants; Area; base; Benefits and Risks; Breast-Conserving Surgery; cancer care; Cancer Patient; career; career development; Caring; Characteristics; Chronic; Communication; Communities; community based participatory research; Comorbidity; Conflict (Psychology); Decision Aid; Decision Analysis; Decision Making; Decision Modeling; design; Development; Doctor of Philosophy; Evaluation; evidence base; experience; Family member; Fostering; Future; Generic Drugs; Goals; Guidelines; Health; Health Services Research; Healthcare; improved; Individual; interest; Joints; Lead; Life Expectancy; Light; malignant breast neoplasm; Medical; medical schools; meetings; member; Mentors; Methodology; Minnesota; Monitor; Older Population; older women; Outcome; Outcomes Research; Paper; patient oriented; Patient-Centered Care; Patients; Phase; Philosophy; Physicians; preference; Probability; Process; professor; Provider; Public Health Schools; Radiation therapy; Recommendation; Research; Research Design; Research Personnel; Resources; Schools; shared decision making; skills; Staging; Training; Treatment outcome; tumor; Universities; Work; Yale Cancer Center


Contact PI / Project Leader Information:
Other PI Information:
Not Applicable
Awardee Organization:
City:  NEW HAVEN    
Congressional District:
State Code:  CT
District:  03
Other Information:
Fiscal Year: 2015
Award Notice Date: 25-Mar-2015
DUNS Number: 043207562
Project Start Date: 01-Apr-2015
Budget Start Date: 01-Apr-2015
CFDA Code: 226
Project End Date: 31-Mar-2020
Budget End Date: 31-Mar-2016
Agency: ?

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HHS/Agency for Healthcare Research and Quality
Project Funding Information for 2015:
Year Agency

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2015 AHRQ

HHS/Agency for Healthcare Research and Quality




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