During the past several years, the MEDD prescribed by referring oncologists has decreased. After hydrocodone reclassification, the use of tramadol with less stringent prescription limits has increased.
A palliative care team in north Scotland identified serious drug errors occurring in the local health-care trust. These were connected with the use of variable rate syringe drivers (IVAC P100) to deliver pain and symptom management rather than the more suitable Graseby MS26. An action research approach was taken to effecting change. An educational workshop was set up which 23 nurses attended. Clinical support was provided and 3 months later an evaluation was carried out. Of the 13 nurses who had used an MS26, most were able to correctly follow the process of setting up the driver and had made appropriate observations, but drug calculations were a problem. Change was stated to have taken place in seven clinical areas but the degree of change was variable. Facilitators and obstacles to the change process are identified and recommendations made for the next round in the action research cycle.
183 Background: From Jan 2013 to Dec 2015, only 23% of inpatient palliative care consults were referred for psychology (PSY) services. In an effort to better understand referral practices, we compared those who were referred for PSY services to those who were not. Methods: A retrospective chart review of 930 consecutive patients from Jan 2013 to Dec 2015 was conducted to collect demographic and clinical variables. 455 patients who had at least one PSY contact and 475 patients who had no PSY contact were randomly selected. In an effort to control for age, we selected 330 patients 18-39 years, 300 patients 40-64 years, and 300 patients 65 and older. Descriptive, univariate and logistic regression analyses were conducted. Results: Patients referred to PSY services (N = 455) included 267(59%) females. Majority were White(60%) and English speaking(93%). Majority were married(62%) and parents(79%). The largest cancer type was GI(20%) followed by hematological(15%). Majority had ECOG status of 3(39%) and CAGE-AID negative (82%). Patients with no psychology consult(N = 475) included 50% females. Majority were White(60%) and English speaking(79%). Majority were married(56%) and parents(70%). This sample also had majority GI cancers(18%) followed by hematological(15%). Majority had ECOG status of 3(34%) and was CAGE-AID negative(75%). Univariate variables significant for those referred for PSY services included: Female(p = .01), English language(p = .018), ECOG score of 3(p = .006), psychiatric history(p = .008), higher MEDD(p = .001) and several ESAS subscales including depression(p = .000), anxiety(p = .000), shortness of breath(p = .017), sleep (p. = .029) and spiritual pain(p = .001). Logistic regression identified psychiatric history and ESAS depression scores as significant predictors of PSY referral. Conclusions: Several univariate factors were significantly associated with referral to PSY services. Psychiatric history and ESAS depression score showed to be strong independent predictors. These results help us to understand how palliative care providers determine those they consult for PSY services. More research is needed to investigate who may benefit most from PSY referrals.
168 Background: Literature suggests that YA cancer patients have unique psychosocial issues and more emotional distress compared to older aged patients. Our study aimed to evaluate clinical and demographic factors of YA cancer patients that may impact physical and psychosocial symptom expression. Methods: A retrospective review was conducted on randomly selected patients seen during 2013-2015 of 3 age groups: 18-39 (YA), 40-64, and 65 and older on demographic, medical, psychosocial history, Morphine Equivalent Daily Dose (MEDD), Edmonton Symptom Assessment Scare (ESAS) scores, and Eastern Cooperative Oncology Group (ECOG) scores which are completed at time of initial consultation with the supportive care inpatient mobile team. Results: 896 (YA = 297, 40-64 cohort = 300, 65 and older = 299) patients were reviewed. YA cohort was associated with being female (n = 179 (60%), p = 0.03), more frequently non-white (Black and Hispanic = 124 (42%), p < 0.00), higher ECOG scores (ECOG 0-2 = 83(39%), p < 0.00) more psychiatric history (n = 95(32%), p = 0.00) and worse ESAS sleep scores (median = 6, p = 0.02). The YA cohort also had higher pain expression than the 65 and older cohort (p = .02). The YA group was more likely to have children younger than 18 years old (n = 171(58%), p < 0.00). Patients with children less than 18 years of age reported higher pain expression (median = 6, p = .05), sleep (median = 6, p = 0.01), and financial distress (median = 2, p = 0.02). Conclusions: Contrary to other findings, YA cancer patients did not report higher symptoms or distress when compared to older age cohorts, with the exception of higher insomnia compared to other age cohorts and higher pain expression than the oldest age cohort. YA with young children reported higher level of pain, sleep and financial distress. Our findings suggest that the YA population may benefit from specialized psychosocial services to address their unique social needs, particularly to address concerns related to being parents of young children.
106 Background: Opioid prescriptions are regulated at both federal and state levels. Examples of such regulations include use of risk evaluation and mitigation strategies (REMS), mandatory sharing of prescription data with state prescription drug monitoring programs and the reclassification of hydrocodone as schedule II opioid in October 2014. One possible consequence of such changes would be earlier referral to palliative care (PC) for opioid management. Alternatively, primary oncologist may treat patients with weak opioids or use strong opioids with lower daily dose. We hypothesized that during the last six years, the number of referrals to outpatient PC has increased and the morphine equivalent daily dose (MEDD) has decreased. Methods: We reviewed 750 randomly selected patients who were seen as a new consultation from the year 2010 to 2015. Data was collected on demographics, cancer type and stage, referring specialty, symptom assessment, cancer pain classification, performance status, opioid type and MEDD. Data were also collected on first subsequent PC visit among eligible patients. MEDD over the 6 years was evaluated using general linear regression method, adjusted for covariates. Results: Hydrocodone was the most common opioid prescribed by the referring team throughout the six-year period. After reclassification, its use declined from 43% in 2014 to 33% in 2015. Tramadol use increased from 9% in 2014 to 19% in 2015 (p < 0.0001). Median MEDD upon referral was 78mg/day in 2010 and progressively decreased to 40mg/day in 2015 (p < 0.0001). Year to year referral increased 24% in the first quarter of 2015 (after hydrocodone rescheduling), compared to 17% in 2014 (p 0.0014). Conclusions: Over the past 6 years, there has been an increase in number of referrals to PC and a decline in MEDD upon referral. Likewise, an increase in weak opioids like tramadol has also been observed. These findings suggest oncologists are sending early referrals before further opioid dose titration and rotations are considered. Further opioid regulations will likely impact the integration of PC services in comprehensive cancer care.
65 Background: Communication among the health care providers plays a crucial role in team-based practices, and a standardized communication platform is essential. Our palliative care consult service (PCCS) at a university-based cancer center manages cancer-related symptoms. The handoff process among the providers takes place via encrypted emails shared among the providers. The current demand for palliative care (PC) among the cancer population led to increased patient encounters and associated handoff emails. Numerous handoff emails (sometimes up to 25-30/day) can lead to missing/overlooked information, cause burnout among the providers, and affect patient safety. Studies have shown that implementing I-PASS into clinical practices has significantly reduced medical errors without increasing documentation time. We aimed to improve communication among the PC providers, prevent burnout and increase patient safety by using a built-in I-PASS handoff tool on electronic medical records (EMR). Methods: In January 2021, we formed a team to develop a quality improvement (QI) project to implement I-PASS for our PCCS at our institution. The institutional Quality Improvement Assessment Board approved this QI project. Our team started with Plan, Do, Study, Act. After extensive brainstorming, we mapped out the Cause-and-effect diagram (Fishbone). We laid out a Process mapping through a flowchart and Feasibility impact matrix. The implementation process took place in 4 phases. Phase 1: A per-implementation survey. Phase 2: Extensive training sessions for PC clinicians, both, 1:1 and group sessions. Phase 3: October 2021 I-Pass implementation went live. Phase 4: post-implementing survey to assess provider reception. Results: Based on real-time assessment on EMR, at four months mark, we reached the 100% utilization goal for I-PASS among PC clinicians. In Pre vs. Post-implementation survey, providers perceived they could identify their patient's related information, save time, update handoff daily and locate their assignments without any efforts on I-PASS compared to email handoff (p < 0.0001). Overall, 95% of the PC providers found I-PASS helpful. Conclusions: Standardized communication tools such as I-PASS have proven safe and effective and help prevent provider burnout by improving overall workflow. Future studies need to focus on steps to continue developing tools to help modify the handoff on Smartphone EMR applications such as HAIKU.
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