Breast reconstruction after mastectomy is an important treatment option for the many thousands of women who undergo mastectomy each year. Its insurance coverage is mandated by federal law. Many women who want reconstruction, particularly women from racial and ethnic minorities, never receive it, and some women who undergo reconstruction regret having it, raising concern about the quality of decisions about the procedure. Little is known about the quality of breast reconstruction decisions, defined as the extent to which decisions are informed and concordant with patients' preferences. A lack of reliable methods for evaluating preference concordance has resulted in a paucity of research in this area. Deciding about breast reconstruction requires a patient to predict how she would feel after the procedure, a process called affective forecasting. Extensive psychological research has shown that people have difficulty making accurate predictions about how they will feel, tending to overestimate the effects of disease and treatments on their well- being and to underestimate their ability to adapt to change and the effects of other aspects of their lives. Despite the importance of affective forecasting to decisions about breast reconstruction, no research has examined this aspect of those decisions. We propose to conduct a pilot cohort study of breast cancer patients undergoing mastectomy, with or without reconstruction with the following specific aims:
Aim 1 : To evaluate the quality of decisions about breast reconstruction by assessing patient knowledge, concordance between preferences and treatment, and decision making processes;
Aim 2 : To assess the accuracy of patients' preoperative predictions about their post-operative body image and well-being and the association between prediction accuracy and satisfaction with decisions;
and Aim 3 : To assess the effects of breast reconstruction on quality of life and body image and the potential modification of these effects by preference concordance. This study is innovative in its use of a validated measure of knowledge that is specific to reconstruction, its use of a technique derived from marketing research called conjoint analysis to assess preference concordance, its focus on affective forecasting, and its prospective assessment of decisions. Our findings will inform a subsequent R01 to conduct a multi-site cohort study of decision making and outcomes of breast reconstruction. We believe this line of investigation will lead to more appropriate use of reconstruction and more patients achieving the outcomes they value. The candidate is a plastic and reconstructive surgeon with education and experience in health policy whose long-term goal is to improve the quality of surgical treatments for cancer. The specific objectives of this career development award are 1) To obtain education in psycho- oncology, outcomes research, and psychology of decisions; 2) to obtain skills in quality of life measurement, patient interviewing, preference elicitation, assessment of affective forecasting errors, enrollment and retention of incident cancer patients, and analysis of longitudinal observational data; 3) to evaluate the patient-reported outcomes of breast reconstruction and the role of decision making processes in those outcomes, in preparation for a multi-site cohort study; and 4) to develop the expertise, pilot data, and publication record necessary to be an independent investigator. This K07 career development award would position the candidate to become a leader in the decision sciences and clinical effectiveness research.

Public Health Relevance

Deciding whether or not to have breast reconstruction after mastectomy is highly challenging for many patients. This study will examine patients' decisions about reconstruction and the effects of reconstruction on quality of life and body image. This research will eventually lead to more patients receiving the treatments they prefer and ultimately to better quality of life for women with breast cancer.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Academic/Teacher Award (ATA) (K07)
Project #
5K07CA154850-05
Application #
8920085
Study Section
Subcommittee I - Transistion to Independence (NCI)
Program Officer
Perkins, Susan N
Project Start
2011-09-01
Project End
2016-08-31
Budget Start
2015-09-01
Budget End
2016-08-31
Support Year
5
Fiscal Year
2015
Total Cost
Indirect Cost
Name
University of North Carolina Chapel Hill
Department
Surgery
Type
Schools of Medicine
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Milucky, Jennifer L; Deal, Allison M; Anders, Carey et al. (2017) Coordination of Care for Breast Reconstruction Patients: A Provider Survey. Clin Breast Cancer 17:e59-e64
Anderson, Chelsea; Islam, Jessica Y; Elizabeth Hodgson, M et al. (2017) Long-Term Satisfaction and Body Image After Contralateral Prophylactic Mastectomy. Ann Surg Oncol 24:1499-1506
Myckatyn, Terence M; Wagner, I Janelle; Mehrara, Babak J et al. (2017) Cancer Risk after Fat Transfer: A Multicenter Case-Cohort Study. Plast Reconstr Surg 139:11-18
Lee, Clara Nan-Hi; Deal, Allison M; Huh, Ruth et al. (2017) Quality of Patient Decisions About Breast Reconstruction After Mastectomy. JAMA Surg 152:741-748
Kohler, Racquel E; Miller, Anna R; Gutnik, Lily et al. (2017) Experiences and perceptions regarding clinical breast exam screening by trained laywomen in Malawi. Cancer Causes Control 28:137-143
Gutnik, Lily; Lee, Clara; Msosa, Vanessa et al. (2016) Clinical breast examination screening by trained laywomen in Malawi integrated with other health services. J Surg Res 204:61-7
Lee, Clara Nan-Hi; Ubel, Peter Anthony; Deal, Allison M et al. (2016) How Informed Is the Decision About Breast Reconstruction After Mastectomy?: A Prospective, Cross-sectional Study. Ann Surg 264:1103-1109
Albornoz, Claudia R; Matros, Evan; Lee, Clara N et al. (2015) Bilateral Mastectomy versus Breast-Conserving Surgery for Early-Stage Breast Cancer: The Role of Breast Reconstruction. Plast Reconstr Surg 135:1518-26
Lee, Clara N; Wetschler, Matthew H; Chang, Yuchiao et al. (2014) Measuring decision quality: psychometric evaluation of a new instrument for breast cancer chemotherapy. BMC Med Inform Decis Mak 14:73
Tomlinson, Jared; Haac, Bryce; Kadyaudzu, Clement et al. (2013) The burden of surgical diseases on critical care services at a tertiary hospital in sub-Saharan Africa. Trop Doct 43:27-9

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