Project description:Background:Despite similar survival rates, breast-conserving therapy (BCT) remains a distant second choice after simple mastectomy for patients with early-stage breast cancer in Singapore. Uptake of reconstruction after mastectomy is also low (18 per cent). The aim of this study was to explore the factors influencing a patient's choice for mastectomy when eligible for BCT, and why patients decline reconstruction after mastectomy. Methods:Patients from the National Cancer Centre Singapore, who were eligible for BCT but chose mastectomy without reconstruction, between December 2014 and December 2015 were included. An interviewer-administered questionnaire focusing on patients' reasons for choosing mastectomy over BCT and not opting for immediate breast reconstruction after mastectomy was used. Tumour characteristics were retrieved from medical records. Spearman's rank correlation coefficient, Mann-Whitney U and Kruskal-Wallis tests were used to analyse the correlation between the patient's self-rated influential factors and variables. Statistical significance was taken as P < 0·050. Results:Ninety-one patients were included (90·1 per cent response rate). The main reasons for choosing mastectomy over BCT were: fear of cancer recurrence (considered very important in 74 per cent), the perception that health outweighs breast retention (49 per cent) and the possibility of second surgery for margins (40 per cent). Key factors for rejecting immediate reconstruction after mastectomy were: patient-perceived 'old age' (very important in 53 per cent), concern about two sites of surgery (42 per cent) and financial cost (29 per cent). Given a second chance, 19·8 per cent of patients would undergo BCT instead of mastectomy. Conclusion:This study has identified the considerations that women in Singapore have when deciding on breast cancer surgery. Some perceptions need to be addressed for women to make a fully informed decision, especially as one-fifth regret their initial choice.
Project description:Background:The choice of mastectomy compared with breast-conservation therapy (bct) in early-stage breast cancer (esbca) is a complicated decision-making process. Interprovincially, Canada's mastectomy rates vary from 25% to 68%, with Saskatchewan reporting the nation's second-highest mastectomy rate at 63%. The aim of our research was to better understand why women with esbca choose mastectomy rather than bct in Saskatchewan. Methods:We created a survey based on a previously developed framework that organizes influencing factors into 3 constructs: clinicopathologic, physician, and individual belief factors. Results:Treatment choice was found to be influenced by disease stage and multiple individual belief factors. Compared with their counterparts having stage i disease, women with stage ii disease were significantly more likely to undergo mastectomy [odds ratio (or): 7.48]. Patients rating "worry about cancer recurrence" and "total treatment time" as more influential in their choice were also more likely to undergo mastectomy (or: 3.4 and 1.8 respectively). Conversely, women rating "wanting to keep own breast tissue," "tumour size," and "surgeon's opinion" as influential in their choice were more likely to undergo bct (or: 0.17, 0.66, and 0.69 respectively). Conclusions:Our study demonstrates that treatment choices for Saskatchewan women with esbca are influenced primarily by disease stage and individual belief factors. Those findings suggest that women are making their treatment choices predominantly based on individual values and preferences. The use of rates of mastectomy and bct as indicators of quality of care might be misleading. Instead, a shift in attention toward patient-centred care might be more appropriate.
Project description:Guidelines and Class 1 evidence are strong factors that help guide surgeons' decision-making, but dilemmas exist in selecting the best surgical option, usually without the benefit of guidelines or Class 1 evidence. A few studies have discussed the variability of surgical treatment options that are currently available, but no study has examined surgeons' views on the influential factors that encourage them to choose one surgical treatment over another. This study examines the influential factors and the thought process that encourage surgeons to make these decisions in such circumstances. Semi-structured face-to-face interviews were conducted with 32 senior consultant surgeons, surgical fellows, and senior surgical residents at the University of Toronto teaching hospitals. An e-mail was sent out for volunteers, and interviews were audio-recorded, transcribed verbatim, and subjected to thematic analysis using open and axial coding. Broadly speaking there are five groups of factors affecting surgeons' decision-making: medical condition, information, institutional, patient, and surgeon factors. When information factors such as guidelines and Class 1 evidence are lacking, the other four groups of factors-medical condition, institutional, patient, and surgeon factors (the last-mentioned likely being the most powerful)-play a significant role in guiding surgical decision-making. This study is the first qualitative study on surgeons' perspectives on the influential factors that help them choose one surgical treatment option over another for their patients.
Project description:BackgroundWe sought to predict clinically meaningful changes in physical, sexual, and psychosocial well-being for women undergoing cancer-related mastectomy and breast reconstruction 2 years after surgery using machine learning (ML) algorithms trained on clinical and patient-reported outcomes data.Patients and methodsWe used data from women undergoing mastectomy and reconstruction at 11 study sites in North America to develop three distinct ML models. We used data of ten sites to predict clinically meaningful improvement or worsening by comparing pre-surgical scores with 2 year follow-up data measured by validated Breast-Q domains. We employed ten-fold cross-validation to train and test the algorithms, and then externally validated them using the 11th site's data. We considered area-under-the-receiver-operating-characteristics-curve (AUC) as the primary metric to evaluate performance.ResultsOverall, between 1454 and 1538 patients completed 2 year follow-up with data for physical, sexual, and psychosocial well-being. In the hold-out validation set, our ML algorithms were able to predict clinically significant changes in physical well-being (chest and upper body) (worsened: AUC range 0.69-0.70; improved: AUC range 0.81-0.82), sexual well-being (worsened: AUC range 0.76-0.77; improved: AUC range 0.74-0.76), and psychosocial well-being (worsened: AUC range 0.64-0.66; improved: AUC range 0.66-0.66). Baseline patient-reported outcome (PRO) variables showed the largest influence on model predictions.ConclusionsMachine learning can predict long-term individual PROs of patients undergoing postmastectomy breast reconstruction with acceptable accuracy. This may better help patients and clinicians make informed decisions regarding expected long-term effect of treatment, facilitate patient-centered care, and ultimately improve postoperative health-related quality of life.
Project description:Breast cancer is the leading cause of cancer death in women worldwide. Its surgical approach has become less and less mutilating in the last decades. However, the overall number of breast reconstructions has significantly increased lately. Nowadays, breast reconstruction should be individualized at its best, first of all taking into consideration not only the oncological aspects of the tumor, neo-/adjuvant treatment, and genetic predisposition, but also its timing (immediate versus delayed breast reconstruction), as well as the patient's condition and wish. This article gives an overview over the various possibilities of breast reconstruction, including implant- and expander-based reconstruction, flap-based reconstruction (vascularized autologous tissue), the combination of implant and flap, reconstruction using non-vascularized autologous fat, as well as refinement surgery after breast reconstruction.
Project description:IntroductionThe prevalence of mastectomy in China is higher than its Western counterparts. Little is known about whether Chinese women with breast cancer have been involved in the decision-making process of mastectomy, the level of decisional conflict, their perceptions of mastectomy and the factors that influence them to undergo a mastectomy. This protocol describes a mixed-methods study that aims to provide an in-depth understanding of decision-making about mastectomy among Chinese women with breast cancer.Methods and analysisA three-phase, sequential explanatory mixed-methods design will be adopted. The first phase is a retrospective analysis of medical records to determine the current use of mastectomy. The second phase is a cross-sectional survey to examine women's perceptions of involvement, decisional conflict and the factors influencing them to undergo a mastectomy. The third phase is an individual interview to explore women's decision-making experiences with mastectomy. Quantitative data will be analysed using descriptive statistics, t-test, Fisher's exact test, χ2 test, analysis of variance, Pearson's correlation and logistic regression. Qualitative data will be analysed by the inductive content analysis.Ethics and disseminationEthical approvals for this study have been obtained from the human research ethics committees of the University of Newcastle, Australia, Zhongshan Hospital Xiamen University, China, and the First Affiliated Hospital of Xiamen University, China. Written informed consent will be obtained from the participants. Findings of this work will be disseminated at international conferences and peer-reviewed publications.Trial registration numberNot applicable.
Project description:Objective. To explore barriers and facilitators to implementing an evidence-based clinical decision support (CDS) tool (BREASTChoice) about post-mastectomy breast reconstruction into routine care. Materials and Methods. A stakeholder advisory group of cancer survivors, clinicians who discuss and/or perform breast reconstruction in women with cancer, and informatics professionals helped design and review the interview guide. Based on the Consolidated Framework for Implementation Research (CFIR), we conducted qualitative semistructured interviews with key stakeholders (patients, clinicians, informatics professionals) to explore intervention, setting characteristics, and process-level variables that can impact implementation. Interviews were transcribed, coded, and analyzed based on the CFIR framework using both inductive and deductive methods. Results. Fifty-seven potential participants were contacted; 49 (85.9%) were eligible, and 35 (71.4%) were enrolled, continuing until thematic saturation was reached. Participants consisted of 13 patients, 13 clinicians, and 9 informatics professionals. Stakeholders thought that BREASTChoice was useful and provided patients with an evidence-based source of information about post-mastectomy breast reconstruction, including their personalized risks. They felt that BREASTChoice could support shared decision making, improve workflow, and possibly save consultation time, but were uncertain about the best time to deliver BREASTChoice to patients. Some worried about cost, data availability, and security of integrating the tool into an electronic health record. Most acknowledged the importance of showing clinical utility to gain institutional buy-in and encourage routine adoption. Discussion and Conclusion. Stakeholders felt that BREASTChoice could support shared decision making, improve workflow, and reduce consultation time. Addressing key questions such as cost, data integration, and timing of delivering BREASTChoice could build institutional buy-in for CDS implementation. Results can guide future CDS implementation studies.
Project description:PurposeThe aim of this study was to develop a patient decision aid (pDA) that could support patients with breast cancer (BC) in making an informed decision about breast reconstruction (BR) after mastectomy.MethodsThe development included four stages: (i) Establishment of a multidisciplinary team; (ii) Needs assessment consisting of semi-structured interviews in patients and a survey among healthcare professionals (HCPs); (iii) Creation of content, design and technical system; and (iv) Acceptability and usability testing using a think-aloud approach in patients and interviews among HCPs and representatives of the Dutch Breast Cancer Patient Organization.ResultsFrom the needs assessment, three themes were identified: Challenging period to make a decision, Diverse motivations for a personal decision and Information needed to make a decision about BR. HCPs valued the development of a pDA, especially to prepare patients for consultation. The pDA that was developed contained three parts: first, a consultation sheet for oncological breast surgeons to introduce the choice; second, an online tool including an overview of reconstructive options, the pros and cons of each option, information on the consequences of each option for daily life, exercises to clarify personal values and patient stories; and third, a summary sheet with patients' values, preferences and questions to help inform and guide the discussion between the patient and her plastic surgeon. The pDA was perceived to be informative, helpful and easy to use by patients and HCPs.ConclusionConsistent with information needs, a pDA was developed to support patients with BC who consider immediate BR in making an informed decision together with their plastic surgeon.Patient or public contributionPatients participated in the needs assessment and in acceptability and usability testing.
Project description:IntroductionThere has been an increasing trend of patients with breast cancer electing to undergo contralateral prophylactic mastectomy (CPM), despite the lack of evidence showing long-term survival benefit. We aim to quantify the tiered amount of genetic and surgical complication risk deemed necessary to justify CPM.MethodsA review of breast cancer-affiliated genetic mutations and morbidity rates of breast cancer surgery from a single institution was compiled. A survey using a utility analysis was created. Severity of breast cancer genetic risk and morbidity risk warranting CPM was quantified and evaluated.ResultsA total of 143 surveys were submitted by women of the general population. Data analysis confirmed previous predictions that at a hypothetical increased risk of contralateral breast cancer (CBC), about twice the proportion of women will elect CPM. With over 10 times the baseline risk and no surgical complications, 98.6% of women chose CPM. There was a decrease in affirmative responses with increasing morbidity. This decrease was least prominent at higher genetic risk, illustrating that when women are at a higher risk of CBC, the surgical morbidity rate has less of an impact on their decision for CPM.ConclusionAt increased risk of CBC, women are likely to elect for CPM. We anticipate that these findings will encourage the growing use of personalized medicine, with the potential to tailor breast cancer treatment plans for each patient's personal genetic profile.