© 2015 Shumway et al. Background: The Health Care Climate Questionnaire measures patient perceptions of their clinician's autonomy supportive communication. We sought to evaluate the psychometric properties of a modified brief version of the Health Care Climate Questionnaire (mHCCQ) adapted for breast cancer patients. Methods: We surveyed 235 women aged 20-79 diagnosed with breast cancer within the previous 18 months at two cancer specialty centers using a print questionnaire. Patients completed the mHCCQ for their surgeon, medical oncologist, and radiation oncologist separately, as well as the overall treatment experience. Exploratory factor analysis (EFA) using principal components was used to explore the factor structure. Results: One hundred sixty out of 235 (68.1 %) women completed the survey. Mean age was 57 years and time since diagnosis was 12.6 months. For surgeon, medical oncologist, and radiation oncologist ratings separately, as well as overall treatment, women rated 6 dimensions of perceived physician autonomy support. Exploratory factor analysis indicated a single factor solution for each clinician type and for the overall experience. Further, all six items were retained in each clinician subscore. Internal consistency was 0.93, 0.94, 0.97, and 0.92 for the overall, surgeon, medical oncologist, and radiation oncologist scales, respectively. Hierarchical factor analysis demonstrated that a summary score of the overall treatment experience accounts for only 52 % of the total variance observed in ratings of autonomy support for the three provider types. Conclusions: These results describe the first use of the mHCCQ in cancer patients. Ratings of the overall treatment experience account for only half of the variance in ratings of autonomy support, suggesting that patients perceive and report differences in communication across provider types. Future research is needed to evaluate the relationship between physician communication practices and the quality of decision making, as well as other outcomes among cancer patients.

The Breast and Cervical Cancer Prevention and Treatment Act program in Georgia creates a quicker pathway for low-income, uninsured women with breast cancer to access services and receive more treatment than women enrolled in traditional Medicaid eligibility groups.

Pseudoangiomatous stromal hyperplasia (PASH) is a benign mesenchymal proliferative lesion of the breast. In 2005, only 109 cases had been reported since its initial description in 1986 by Vuitch et al. Our 24 cases represent one of the largest series to be reported from a single institution. We retrospectively reviewed data from 2004 to 2010 of patients diagnosed with PASH by surgical excision or image-guided biopsy. All pathological specimens were reviewed by a single pathologist. The samples were stained for estrogen and progesterone receptors (ER and PR), CD34, and the lymphatic marker D2-40. All but one of 24 (96%) patients presented with breast masses either on imaging or clinically. Fourteen of the 24 patients (58%) were diagnosed on surgical excision, 10 (42%) diagnosed with core needle biopsy, and five (20%) were diagnosed using both techniques. The tumors ranged in size from 0.3 cm to 7.0 cm. All women except two were premenopausal or perimenopausal at diagnosis. Nineteen samples were available for hormonal receptor staining and of these 18 of 19 (95%) were ER or PR positive. PASH was diagnosed in two men, a transgender male on hormones and the other with gynecomastia. The patients' ages ranged from 18 to 86 years old. In addition to PASH other benign histopathological findings include stromal fibrosis and atypical ductal or lobular hyperplasia. Imaging revealed no distinguishing feature for PASH with benign histology. One patient had synchronous ductal carcinoma in-situ (DCIS). Patients were treated with local excision or observation. This study suggests that PASH is primarily a diagnosis of premenopausal and perimenopausal women. Our series supports a hormonal basis for its development due to the positive staining for hormonal receptors. Management is conservative surgery for larger masses with careful observation being an option in patients not at high risk for breast cancer.

Background: Racial disparities in breast cancer (BC) outcomes persist where non-Hispanic black (NHB) women are more likely to die from BC than non-Hispanic white (NHW) women, and the extent of this disparity varies geographically. We evaluated tumor, treatment, and patient characteristics that contribute to racial differences in BC mortality in Atlanta, Georgia, where the disparity was previously characterized as especially large. Methods: We identified 4943 NHW and 3580 NHB women in the Georgia Cancer Registry with stage I-IV BC diagnoses in Atlanta (2010-2014). We used Cox proportional hazard regression to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) comparing NHB vs NHW BC mortality by tumor, treatment, and patient characteristics on the additive and multiplicative scales. We additionally estimated the mediating effects of these characteristics on the association between race and BC mortality. Results: At diagnosis, NHB women were younger-with higher stage, node-positive, and triple-negative tumors relative to NHW women. In age-adjusted models, NHB women with luminal A disease had a 2.43 times higher rate of BC mortality compared to their NHW counterparts (95% CI = 1.99 to 2.97). High socioeconomic status (SES) NHB women had more than twice the mortality rates than their white counterparts (HR = 2.67, 95% CI = 1.65 to 4.33). Racial disparities among women without insurance, in the lowest SES index, or diagnosed with triple-negative BC were less pronounced. Conclusions: In Atlanta, the largest racial disparities are observed in luminal tumors and most pronounced among women of high SES. More research is needed to understand drivers of disparities within these treatable features.

Background Breast cancer patients face several preference-sensitive treatment decisions. Feelings such as regret or having had inadequate information about these decisions can significantly alter patient perceptions of recovery and recurrence. Numerous objective measures of decision quality (e.g., knowledge assessments, values concordance measures) have been developed; there are far fewer measures of subjective decision quality and little consensus regarding how the construct should be assessed. The current study explores the psychometric properties of a new subjective quality decision measure for breast cancer treatment that could be used for other preference sensitive decisions. Methods 320 women aged 20–79 diagnosed with AJCC stage 0 – III breast cancer were surveyed at two cancer specialty centers. Decision quality was assessed with single items representing six dimensions: regret, satisfaction, and fit as well as perceived adequacy of information, time, and involvement. Women rated decision quality for their overall treatment experience and surgery, chemotherapy, and radiation decisions separately. Principle components was used to explore factor structure. After scales were formed, internal consistency was computed using Cronbach’s alpha. The association of each of the four final scales with patient characteristics scores was examined by Pearson correlation. Results For overall breast cancer treatment as well as surgery, chemotherapy, and radiation decisions, the six items yielded a single factor solution. Factor loadings of the six decision items were all above .45 across the overall and treatment-specific scales, with the exception of “Right for You” for chemotherapy and radiation. Internal consistency was 0.77, 0.85, 0.82, and 0.78 for the overall, surgery, chemotherapy, and radiation decision quality scales, respectively. Conclusions Our measure of subjective appraisal of breast cancer treatment decisions includes 5 related elements; regret and satisfaction as well as perceived adequacy of information, time, and involvement. Future research is needed to establish norms for the measure as is further psychometric testing, particularly to examine how it is associated with outcomes such as quality of life, psychological coping and objective decision quality.