Distress: Characterizing What Causes the Thermometer to Shift in Patients with Newly Diagnosed Breast Cancer Attending a Multidisciplinary Clinic.

BACKGROUND: A diagnosis of breast cancer (BC) can result in multifactorial stress. If not addressed, distress can have a negative impact on outcomes. The experience of patients with newly diagnosed BC has not been sufficiently investigated. This study characterizes distress among new patients in a multidisciplinary care (MDC) clinic. The study aimed to determine the degree of distress at presentation, to characterize the sources, and to evaluate the impact of an MDC visit. METHODS: A retrospective review was performed from January 2015 to November 2017. Charts were accessed for demographics, tumor characteristics, and treatment data. Distress scores (DS) and problems as captured using the National Comprehensive Cancer Network (NCCN) Distress Thermometer were completed before evaluation and in a subgroup after an MDC visit. Predictors of severe distress (DS ≥4) were investigated using multivariable logistic regression. The paired t test was used to determine the impact of an MDC visit. RESULTS: The mean initial DS (n = 474) was 4.98. The top four sources of distress were worry, anxiety, fears, and sadness. Age younger than 65 years was significantly associated with a higher DS at presentation (p < 0.003). Among the patients queried before and after MDC (n = 137), a significant reduction in distress was identified (5.58-2.94; p < 0.0005). CONCLUSIONS: Severe distress was found in 66 % of the patients with a recent diagnosis of BC, with younger age related to higher distress scores at presentation. Emotional stressors were the predominant factors accounting for distress. A same-day MDC visit was associated with a significant reduction in DS. These data indicate the importance and feasibility of proactively screening patients. Our research lends support to the value of multidisciplinary evaluation in this setting.

Physician satisfaction and practice intentions in Northwestern Ontario.

OBJECTIVE: The goal of this research was to understand factors that affect future practice intentions of physicians who practise in rural and underserviced areas. The following 2 research questions are answered: "How many physicians in Northwestern Ontario intend to leave their practice in 5 years?" and "What is the association between professional, personal/family and community factors in physician satisfaction and intention to stay in practice?" METHODS: Between September and October 2004, physicians practising in Northwestern Ontario were mailed a survey measuring professional, personal/family and community satisfaction as well as future practice intentions. Future practice intention (question 1) was analyzed through a frequency distribution, while the factors that influenced intention (question 2) were analyzed using a 3-step process: a factor analysis, the creation of scales and a logistic regression. The themes of the scales emerging from the factor analysis were family/community, time, professional support and efficacy, and sense of belonging and appreciation. The means of these 4 scales were entered into a logistic regression model along with demographic variables that were independent predictors of future practice intention. RESULTS: Three hundred and twenty-eight physicians were sent the survey. After 3 consecutive mailings, the response rate was 61.3% (n=201). Over two-thirds of Northwestern Ontario physicians intended to remain in practice in 5 years; however, most of these physicians were from Thunder Bay, the only city (100 000+ population) in Northwestern Ontario. Physicians were significantly more likely to intend to stay in practice if they were younger, practised in Thunder Bay and scored higher on the family/community scale. CONCLUSION: These findings underscore the importance of addressing family and community factors, as opposed to strictly professional factors, in future retention initiatives.