Primary systemic therapy for breast cancer: Does the patient's involvement in decision-making create a new future?

Minority patient preferences, barriers, and facilitators for shared decision-making with health care providers in the USA: A systematic review

OBJECTIVES

This systematic review of contemporary literature sought to better understand racial and ethnic minority patients' shared decision-making (SDM) preferences, challenges and facilitators.

METHODS

Data sources were PubMed, CINAHL, Embase, Google Scholar, PsycINFO, Sociological Abstracts, and Web of Science databases for publications between 2011 and 2016. Publications were included if they studied SDM during the clinical encounter for minority adults in clinical care in the United States. We conducted a narrative, descriptive synthesis of each study.

RESULTS

From over 5000 publications identified through the search strategy, 18 met eligibility criteria following an abstract and full text (n = 685) review in Covidence. Studies focused on SDM in developing treatment plans (n = 10), and were conducted in primary care (n = 6) or hospital/health system settings (n = 6). Patients' decision preferences ranged from physician-driven altogether or initially, to patient-driven style. A comprehensive list of SDM facilitators and barriers was developed.

CONCLUSION

Despite strong policy and research SDM support to increase patient communication and a growing published literature, results suggest lack of representation of minority populations in contemporary literature.

PRACTICE IMPLICATIONS

Provider training may be needed to facilitate patient-provider transition from a passive toward a more active SDM engagement over time while confidence, trust and rapport is established.

A Regression Model for Predicting Shape Deformation after Breast Conserving Surgery

Breast cancer treatments can have a negative impact on breast aesthetics, in case when surgery is intended to intersect tumor. For many years mastectomy was the only surgical option, but more recently breast conserving surgery (BCS) has been promoted as a liable alternative to treat cancer while preserving most part of the breast. However, there is still a significant number of BCS intervened patients who are unpleasant with the result of the treatment, which leads to self-image issues and emotional overloads. Surgeons recognize the value of a tool to predict the breast shape after BCS to facilitate surgeon/patient communication and allow more educated decisions; however, no such tool is available that is suited for clinical usage. These tools could serve as a way of visually sensing the aesthetic consequences of the treatment. In this research, it is intended to propose a methodology for predict the deformation after BCS by using machine learning techniques. Nonetheless, there is no appropriate dataset containing breast data before and after surgery in order to train a learning model. Therefore, an in-house semi-synthetic dataset is proposed to fulfill the requirement of this research. Using the proposed dataset, several learning methodologies were investigated, and promising outcomes are obtained.

Illness Perceptions in Women with Breast Cancer-a Systematic Literature Review

Women with breast cancer respond to the illness and its medical management in their own personal way. Their coping behavior and self-management are determined by their views (cognitions) and feelings (emotions) about symptoms and illness: their illness perceptions. This paper reports the results of a systematic literature review of illness perceptions and breast cancer. In the 12 studies identified, published between 2012 and 2015, illness perceptions were found to be important concomitants of medical and behavioral outcomes: fear of recurrence, distress, quality of life, satisfaction with medical care, use of traditional healers, and risk perception. Intervention studies are called for where the effects are examined of replacing unhelpful illness perceptions by more constructive ones. Health care providers do well by incorporating illness perceptions in their care for women with breast cancer, as this is instrumental in improving patients’ quality of life.