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128 Background: The LGBT community is a diverse population that crosses race, ethnicity, socioeconomic status, age, and other factors. It is estimated that 8.8 million Americans are part of the community and the number is likely higher due to under reporting. The population is at increased risk for certain cancers, sexually transmitted infections, and is more likely to use alcohol, tobacco, drugs, and suffer from obesity, and behavioral health issues. LGBT patients face barriers to accessing care due to being under-insured, fear of discrimination and lack of access to culturally competent health care providers. Our cancer center embraced the need to collect sexual orientation/gender identity (SOGI) data as a means to identify and address the comprehensive needs of our patients and set a goal to provide an inclusive, patient-centered environment through education of our teams to build a trusted patient-provider relationship. Methods: We implemented a history section in the EHR to assist with data collection including, preferred name, sexual orientation, gender identity, legal sex, and sex assigned at birth. A project team was developed in 2019 to improve utilization of the existing tool and provide education to increase the comfort level of our caregivers. Our target groups consist of advance practice providers, RN care coordinators, social workers and physicians. Educational sessions occurred through multiple modes and “champions” were identified within target groups to keep the momentum going. Results: There was initial hesitation in utilization due to lack of understanding of the impact on patient care and lack of confidence in communication. Training was modified to include communication techniques and the why collection of SOGI data is important. Conclusions: A monthly report was developed to determine utilization of the SOGI fields and as of May 2020 have increased from 1.5% utilization to 17.5% utilization. A survey has been deployed to education attendees to determine pre and post education comfort levels in addressing the SOGI needs of patients and early data is showing a marked improvement in the comfort level of caregivers.

64 Background: In the era of increasing therapeutic options and complexity of disease, some cancer patients (pts) continue aggressive treatment even within days of death. Previous studies report 30-66% of pts do not receive hospice or palliative services in the last month of life and many are enrolled in hospice < 3 days before death. Quality measures are endorsed by ASCO, National Quality Forum, and Oncology Care Model to increase hospice utilization. It is shown that pts enrolled in hospice have increased survival time with reduced in-hospital resources. These benefits increase the longer pts are in hospice. We hypothesize early identification of high risk pts by a multidisciplinary group and formulation of a care plan will prompt early discussion for hospice eligibility, increasing referrals to hospice and the number of days spent in hospice. Methods: As reported (ASCO 2018, Abst 6547), an Interdisciplinary Care Team (ICT) was created with palliative medicine and oncology physicians, nurses, and social workers. Twice monthly pts with high utilization over a 60-day period were identified. Care plans (CP) were created using a team based approach with parallel input from outpatient teams. CP was communicated back to the primary team. Results: 112 pts were discussed over 24 months; 39 pts died with a solid tumor malignancy and this was our study cohort. 85% pts (33/39) were referred to or had a hospice discussion and 82% pts (27/33) enrolled. 6 pts declined and 6 acutely died. Of the 27 pts that entered hospice 78% (21/27) were enrolled > 3 days and 22 % (6/27) < 3 days. Average number days in hospice was 19.7 (median 11) for all who entered hospice. In the subgroup that were enrolled for > 3 days, average number days was 25 (median 21). 62% pts (17/27) entered hospice within 60 days of ICT meeting and CP. Conclusions: Early identification of high-utilizing cancer patients along with review by ICT may correlate with early recognition of hospice eligibility, enrollment, and therefore greater number days spent in hospice. This increases hospice utilization allowing patients and families to experience the full benefit of hospice-directed care. Further interventions should be explored in optimizing transitions of care.

164 Background: Supporting emotional, psychological, financial and spiritual well-being of patients has been shown to have a positive impact on quality of life and patient experience. Social workers in our outpatient cancer center are responsible for completing new patient assessments at the start of chemotherapy treatment to provide early access to psychosocial support services. Assessments are to be completed within three weeks of the patient’s first chemotherapy treatment. Connecting with patients early in the care experience allows social workers to proactively assist with education, support and link patients to vital resources. Methods: Completed assessments were tracked and from October through December 2017. The social workers leveraged the use of data analytics and a team based approach to increase the number of new patient assessments completed within the first 3 weeks of chemotherapy. Weekly 30-minute huddles were held using problem solving methods, including brain storming, cause and effect diagrams, force ranking, and polling. Results: A team identified 39 potential causes to why 65.14% of patients were not receiving assessments within the first 3 weeks of chemotherapy treatment. Potential causes were grouped and themed. Work prioritization, inconsistent methods of identifying patients receiving chemotherapy for the first time, and lack of visual management to monitor progress of this metric were identified as key objectives for improvement. Countermeasures were developed and implemented; a dashboard was created to analyze the first time treatment assessment completion percentages by disease group and standardizing the process of notifying social workers of patients in need of an assessment. Social worker assessment completion rates improved from 34.78% (December 2017) to 75.35% (April 2018). Conclusions: This project demonstrates the value of utilizing problem solving, visual management, and data analytics for continuous quality improvement projects related to clinical care and processes. Cross-disciplinary collaboration should be explored with the use of visual tools and other resources to facilitate communication that is understood by all disciplines.

83 Background: Delirium is a common neuropsychiatric condition associated with increased morbidity and mortality, length of hospitalization, and distress. The prevalence of delirium in cancer ranges from 10% to 30% in hospitalized patients and up to 85% in terminally ill cancer patients. Rates of delirium on Cleveland Clinic’s inpatient oncology units were lower than expected. Our goal was to integrate mental health professionals into the care team to assist with better recognition and management of delirium. Methods: Education was developed for a range of caregivers, including physicians, nurses, and advanced practice providers. It was facilitated by a psychiatrist, psychologist, and clinical social workers, and included proper identification of both hyper- and hypoactive delirium through use of the Brief Confusion Assessment Method (bCAM) and use of a delirium order set to treat and manage patients identified as positive for delirium. An important component of this education included a proper assessment and comparison of patients’ current mental status compared to their true baseline prior to hospitalization. Additional integration directly into the care team included participation of the psychiatrist, psychologist, and clinical social workers into each team’s multidisciplinary rounds to facilitate discussions around delirium and its appropriate management, and separate targeted rounding which included one-to-one education with front-line caregivers. Results: During the first year of integration, substantial improvements were noted. The percentage of patients identified as positive for delirium through bCAM screening increased from 3.4% to 15.8% after 12 months, and utilization of the delirium order set increased from 11.1% to 58.3%. Additionally, the average nursing unit length of stay (LOS) for delirium-positive patients decreased by more than 2 days compared to baseline. Conclusions: Integration of mental health providers into the care team to assist with recognizing and managing patients with delirium and to provide direct education to front-line caregivers has helped to rapidly improve delirium identification and management for oncology inpatients.

6547Background: Due to complexity of disease and treatments, oncology patients (pts) have among the highest hospitalization rate. In our cancer institute, just 6% of all discharged pts accounted fo...

171 Background: Due to complexity of disease and treatments, oncology patients have among the highest hospitalization rate, especially towards End of Life (EOL). In our cancer institute, just 6% of all discharged patients accounted for >40% of unplanned readmissions, and continue to be highest risk of future admissions, ICU stay, ED visits, overuse of chemotherapy and under use of hospice care. We hypothesized that developing individualized care plans (ICP) for this high-utilization group will provide guidance in the complex care they require to reduce unnecessary and aggressive medical services. Methods: An Interdisciplinary Care Team (ICT) was created consisting of palliative medicine and oncology physicians, social workers, care coordinators, and nurses. On a bimonthly basis, patients with at least two unplanned hospital readmissions over the last 60 days were identified. ICPs were created using a team-based approach with parallel input from patient’s primary outpatient providers. Results: A total of 36 patients, 226 hospitalizations, and 163 ED visits were evaluated over a 6-month period, with an average number of hospitalizations of 1.08 per patient month (ppm). After implementation of ICP, hospitalizations decreased to 0.23 ppm, with an average length of stay decrease from 7.17 to 4.06 days per admission. Average ED visits decreased from 0.58 to 0.34 ppm, and the average number of unplanned readmissions decreased from 0.43 to 0.13 ppm. Of the 10 patients expired since creation of ICP, 8 utilized hospice care, while 2 patients died in an ICU. Average time to death from creation of ICP was 72 days among this cohort, while time to death from last exposure to chemotherapy was 58 days. Conclusions: Creation of individualized care plans for high-utilizing cancer patients decreased number of hospitalizations, ED visits, unplanned readmissions, and length of stay. A dedicated focus from a team of experts, beyond disease biology, on a unique patient situation may result in improved patient experience with decreased aggressiveness of care at EOL and overall resource utilization.

Abstract 3173 The Cleveland Clinic Taussig Cancer Institute completed a pilot project on distress screening as part of the plan to address the American College of Surgeons Commission on Cancer requirement (Standard 3.2: Psychosocial Distress Screening) to screen malignant and benign hematology patients for distress and psychosocial health needs. Over a two week period every hematology patient seeing a physician or mid-level provider completed the distress screening instrument Emotions Thermometer (ET), a five dimensional tool that includes four predictor domains: distress, anxiety, depression, anger and one outcome domain of need for help. Each domain is rated on a 0 to 10 Likert type scale, in a thermometer format. With respect to validity and reliability, the sensitivity and specificity of the ET tool has been found comparable to known validity and reliability of other accepted measures of distress, depression, and anxiety (Mitchell, et al, 2009). Per National Comprehensive Cancer Network (NCCN) guidelines, a score of 4 or higher on distress screening warrants a referral to a psychosocial professional. Distress scores 4 and over were compared among the diagnoses using the Chi-Square test. When the overall P-value was significant (P Of the five thermometer domains, patients scored highest on anxiety. There were no differences among diagnoses on anger (P=0.51), but there were differences in the other four domains (P While this pilot project does not answer why multiple myeloma patients report levels of psychosocial distress significantly higher than other hematology patients, increased attention needs to be given to address these patients' experience of anxiety, depression, and distress. This project provides valuable information about the levels of distress experienced among all hematology patients and is useful for determining staffing levels of psychosocial professionals needed to address distress. Percentage of Emotion Thermometer Scores Over 4 Diagnosis Distress Anxiety Depression Anger Help Benign Hem 18% 27% 18% 12% 7% Leuk/MDS/CML 19% 28% 17% 9% 14% Lymph/CLL 18% 31% 16% 14% 13% Myeloma 38% 44% 35% 15% 27% P-value Disclosures: No relevant conflicts of interest to declare.