Shannon, Robert P.

32 Background: The link between patient concerns and clinical systems delivery is often suboptimal. We developed a case management system for palliative care which transforms the patient’s greatest concerns into actionable clinical pathways. Methods: The system collects patients’ single greatest and second greatest concern plus Quality of Life (QOL) data (pain, fatigue and overall QOL single-items scored 0-10 with 10 representing worst pain/fatigue, or best QOL) and produces a report to guide the physician and patient. The system presents ten “buttons” in a xylophone-like grid: Personal Relationships, Monitoring Health, Emotional Health, Money, Health Behaviors, Medication Troubles, Care Access, Work Worries, Physical Health and Care Planning. We performed a quality improvement study at Mayo Clinic sites. Results: 409 patients participated in at least one survey from 11/04/2015 to 9/22/2016 (620 total surveys). The most common Main Concern was Physical Health 265/620 (43%) followed by Monitoring Health (17%), Medication (8%), and Emotional Health, Money, and Health Behaviors (7% each), Personal Relationships (6%). Future Care Planning, Work, and Care Access/Coordination were rarely chosen ( < 5%). The most common Second greatest concern was Health Behaviors 73/409 (18%) followed by Physical Health (17%). 93/122 (67%) patients changed their greatest concern from baseline to subsequent visits. The mean QOL, fatigue and pain at baseline were 4.8, 6.0 and 4.8 respectively, indicating substantial clinically significant deficits. Post baseline mean scores improved by a maximum of 0.8, 1.1, and 0.9 points respectively, representing clinically meaningful effects. On average it took 8 minutes for patients to use the system. Conclusions: The system was quick and easy to utilize. The personal impact concerns (physical/emotional health, medications) were most often cited as the greatest concern, while care issues were de-emphasized by patients. Patients and physicians praised the system for making visits more efficient and raising issues that otherwise might not have been addressed. This system has the potential to improve patient well-being and clinical outcomes, as well as to reduce burden on clinicians and optimize case management activities.

A prospective analysis of women with terminal breast cancer admitted to CHNE from November 2006-August 2007 evaluated anecdotal observations that African American (AA) women are likelier than Caucasian women to evidence loco-regional recurrences (LRR). Women with terminal breast cancer who were admitted to CHNE, a not-for-profit hospice serving over 90% of Northeast Florida hospice patients, were eligible for participation. 134 terminal breast cancer patients were assessed by hospice nurses for LRR presence via chest wall examination. 80% of them (107) were Caucasian, 17% (23) were AA and 3% (4) were of other ethnicities. Evidence of LRR were noted in 13% of the women (17/134). The proportion of patients with LRR was higher in AA women than Caucasian women (26% vs. 10%, 6/23 vs. 11/107, respectively), although this difference was not statistically significant (p = 0.08). The majority of Caucasian women with LRR consented to a medical record review, but a minority of AA women consented (8/11 vs. 2/6, respectively, p = 0.16). Conclusion Evaluating disparities in breast cancer care outcomes is possible by reviewing data from patients served by hospice programs that aid a majority of patients within a community. This pilot data suggests that AA women with breast cancer have a higher incidence of loco-regional failure as a component of their terminal breast cancer disease than Caucasian women. A smaller proportion of AA patients and families agreed to participate in a medical record review study than Caucasians. Larger studies are necessary to confirm these findings, to elucidate factors contributing to disparities and to develop potential solutions.

211 Background: Distress is known to be elevated in patients receiving cancer therapy, such as palliative radiotherapy (PRT). Many patients will experience distress during treatment and it is not always addressed in part due to a lack of guidance regarding the significance of distress. Methods: All RT patients in our clinic are asked to complete a patient reported distress (PRD) survey during treatment course. PRD forms consist of 30 categorical questions that assess distress subscales. Patients have the option to rate each question from 1 (low distress) to 5 (high distress). The survey also includes the National Comprehensive Cancer Network distress thermometer, which allows patients to rate overall distress level from 0 (no distress) to 10 (extreme distress). Patients’ records were retrospectively reviewed to abstract the needed information to assess survivorship. Results: 270 patients were included from 01/18/2012-08/07/2015. Overall PRD was analyzed as a continuous and a categorical variable (low: 0-3, moderate: 4-6, high: 7-10). Continuous and categorical variable PRD did not show a correlation of distress to survival (P = 0.26) and (P = 0.10) respectively. A correlation was noted in moderate distress category (RR: 1.51, P = 0.034), however, this was not noted in high distress category (RR: 1.25, P = 0.33). There was no statistical significant correlation with the adjusted variables. Patients with primary site of gastrointestinal cancer had worst prognosis (RR: 1.34, P: 0.14), while hematological origin had best prognosis (RR: 0.35, P: 0.038).Age had the strongest correlation with survival, as older patients receiving RT had poorer survival (RR: 1.13, P: 0.079). Conclusions: This study suggests that PRD is not predictive of survival in PRT. The primary goal of PRT is to improve quality of life (QoL) by assessing, anticipating and alleviating suffering; not necessarily improve survival. It also demonstrated that the most common stressors were related to reversible short-term side effects of RT such as fatigue and pain rather than long-term stressors related to daily activities and social measures which might affect QoL. It is imperative to explore assessment tools to mitigate suffering and improve strategies to enhance QoL in all medical disciplines.