Development of a personalized decision aid for breast cancer risk reduction and management

نویسندگان

  • Elissa M. Ozanne
  • Rebecca Howe
  • Zehra Omer
  • Laura Esserman
چکیده

BACKGROUND Breast cancer risk reduction has the potential to decrease the incidence of the disease, yet remains underused. We report on the development a web-based tool that provides automated risk assessment and personalized decision support designed for collaborative use between patients and clinicians. METHODS Under Institutional Review Board approval, we evaluated the decision tool through a patient focus group, usability testing, and provider interviews (including breast specialists, primary care physicians, genetic counselors). This included demonstrations and data collection at two scientific conferences (2009 International Shared Decision Making Conference, 2009 San Antonio Breast Cancer Symposium). RESULTS Overall, the evaluations were favorable. The patient focus group evaluations and usability testing (N = 34) provided qualitative feedback about format and design; 88% of these participants found the tool useful and 94% found it easy to use. 91% of the providers (N = 23) indicated that they would use the tool in their clinical setting. CONCLUSION BreastHealthDecisions.org represents a new approach to breast cancer prevention care and a framework for high quality preventive healthcare. The ability to integrate risk assessment and decision support in real time will allow for informed, value-driven, and patient-centered breast cancer prevention decisions. The tool is being further evaluated in the clinical setting.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Designing and validating an information management software for breast cancer treatment

Background and Aim: Breast cancer is the most common type of cancer in Iran and around the world. It has been recognized as the most significant cause of cancer deaths in developing countries such as Iran. Considering the necessity of accurate and timely diagnosis of this disease, the aim of this research was to design and validate an information management software for the treatment of breast ...

متن کامل

The Effect of Decision Aid's Pakage in Selected Treatment by Patients with Early Stage Breast Cancer and Decision making Outcomes

Background & Objectives: One of the basic principle of the protection of the patient, the patient's right to make decisions for their health. In this study, the effect of using decision aid's package was studied on choice of treatment and decision making outcomes in patients with early-stage breast cancer. Materials and Methods: This research is a clinical trial, performed on 30 patients with ...

متن کامل

A Fuzzy Rule-based Expert System for the Prognosis of the Risk of Development of the Breast Cancer

Soft Computing techniques play an important role for decision in applications with imprecise and uncertain knowledge. The application of soft computing disciplines is rapidly emerging for the diagnosis and prognosis in medical applications. Between various soft computing techniques, fuzzy expert system takes advantage of fuzzy set theory to provide computing with uncertain words. In a fuzzy exp...

متن کامل

Applying Two Computational Classification Methods to Predict the Risk of Breast Cancer: A Comparative Study

Introduction: Lack of a proper method for early detection and diagnostic errors in medicine are some fundamental problems in treating cancer. Data analysis techniques may significantly help early diagnosis. The current study aimed at applying and evaluating neural networks and decision tree algorithm on breast cancer patients’ data for early cancer prediction. Methods: In the current stu...

متن کامل

Applying Two Computational Classification Methods to Predict the Risk of Breast Cancer: A Comparative Study

Introduction: Lack of a proper method for early detection and diagnostic errors in medicine are some fundamental problems in treating cancer. Data analysis techniques may significantly help early diagnosis. The current study aimed at applying and evaluating neural networks and decision tree algorithm on breast cancer patients’ data for early cancer prediction. Methods: In the current stu...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 14  شماره 

صفحات  -

تاریخ انتشار 2014