scholarly journals Current Trend of Palliative Care Clinic (Pcc) Referrals and Their Impact on Symptom Burden in Patients (Pts) Who are Seen in Genitourinary Medical Oncology Clinic (Gumoc): Retrospective Analysis at an American Comprehensive Cancer Institute

2014 ◽  
Vol 25 ◽  
pp. iv473
Author(s):  
N. Gupta ◽  
S. Gandhi ◽  
S. Anwar ◽  
R. Pili ◽  
Y. Satchidanand
2014 ◽  
Vol 32 (31_suppl) ◽  
pp. 57-57
Author(s):  
Neha Gupta ◽  
Shipra Gandhi ◽  
Sidra Anwar ◽  
Katy Wang ◽  
Yashodhara Satchidanand

57 Background: Many cancer patients (pts) with GU cancer suffer from uncontrolled pain, and may benefit from more focused palliative care. We assessed the frequency and impact of specialist PCC referrals on pain management of our GU Medical oncology clinic (GUMOC) pts. Methods: 239 consecutive pts were collected from a retrospective review of GUMOC records from 12/1/2013 to 2/28/2014. This group of pts was used to assess the frequency of PCC referral. Pts were divided into two arms- Arm A= GUMOC pts referred to PCC; Arm B: GUMOC pts not referred to PCC. To be able to detect a 15% between the two arms at 95% significance, 37 additional pts (who were already being seen at GUMOC) were collected from retrospective review of PCC records over 9/1/2013 to 2/28/2014. Total 276 pts were divided into Arm A (n=49), Arm B (n=227 pts). Data for baseline pain score and 4-week follow up pain scores were collected. A palliative care screening tool (retrieved from Center to Advance Palliative care [CAPC] website) was used to assign palliative care screening score (PCSS) to all study pts. Chi square test and T-test were used for statistical analysis. Results: Out of the 239 initially collected GUMOC pts, 5% were referred to PCC. 10% (n=24) had PCSS score of ≥ 4, and 33% pts with PCSS ≥ 4 were referred to PCC. Arm A had worse baseline symptoms, ECOG status and more advanced cancer stage. 4-week pain score follow up revealed significant improvement in Arm A -2.74 vs. Arm B -0.13 (p<0.01). Conclusions: GU cancer pts who are referred to PCC from medical oncology clinic have significant decrease in pain symptoms. Frequency of PCC consultation is still low in comprehensive cancer institutes, and not in congruence with the available palliative care screening tools criteria suggested by CAPC. Standardized tools should be developed to guide PCC referrals, and routine use of these tools will significantly help in pain control by seeking specialist palliative care.


2017 ◽  
Vol 35 (31_suppl) ◽  
pp. 187-187
Author(s):  
Kelly Hyland ◽  
Alyssa L Fenech ◽  
Diane Portman ◽  
Kristine A. Donovan

187 Background: Cancer anorexia-cachexia syndrome (CACS) in patients is associated with decreases in lean body mass and body weight. Self-reported lack of appetite may be an important indicator for early identification of CACS. The current analyses examined the relationship of perceived lack of appetite to patient characteristics and overall symptom burden in a large mixed cancer sample referred to a palliative care clinic. Methods: We conducted a retrospective review of patients newly referred to an outpatient palliative care clinic over a two-year period. Data on demographic and clinical characteristics and patient-reported symptom scores on the Edmonton Symptom Assessment Scale (ESAS) were abstracted. Pearson’s correlations and ANOVAs were used to assess relationships between variables. Multiple regression analysis was used to evaluate the relative contribution of variables that were significantly correlated with lack of appetite at the univariate level. Results: Data on 544 patients ( M=53.7 years) showed that older age (r=12, p<.01), not being married or in a marriage-like relationship (r=.09, p=.04), having insurance other than managed care insurance (r=.10, p=.02), lower body mass index (BMI; r=.11, p<.01), marijuana use (r=.18, p<.0001), and overall symptom burden (ESAS total score r=.52, p < .0001) were associated with worse lack of appetite ( M=3.5, SD=3.1). Patients who were underweight (BMI <18.5, 46.7%) reported significantly worse lack of appetite than patients who were normal weight, overweight, or obese ( M=3.9, SD=3.2, p<.01). The final hierarchical regression model accounted for 34% of the variance in lack of appetite, with age, marital status, BMI, marijuana use, and total symptom burden remaining significant independent correlates (p’ s <.01). Conclusions: Contrary to expectations, relatively few clinical correlates were associated with self-reported lack of appetite. Future research should explore inter-individual genetic factors to explain alterations in lean body mass and body weight that may contribute to poor appetite in patients. Such factors may be important indicators for early identification of CACS.


2017 ◽  
Vol 35 (31_suppl) ◽  
pp. 245-245
Author(s):  
Young Doo Chang ◽  
Joshua S. Smith ◽  
Ritika Oberoi-Jassal ◽  
Vijay Desai ◽  
Stephanie L Winn ◽  
...  

245 Background: Cannabis has growing attention in palliative care, been used for some cancer related symptom burden, but limited data in terms of prevalence in palliative care setting and clinical characteristics with using it. Purpose: To identify the prevalence of positive rate of cannabis metabolite on urine drug sample (UDS) and compare clinical characteristics focused on symptoms burden on Edmonton Symptom Assessment Scale (ESAS) on the same day of UDS. Methods: We conducted retrospective medical records review of 919 consecutive supportive care clinic patients who were seen at a National Cancer Institute center during a 12-month period between 7/01/2015 to 6/30/2016. Results: 531 out of 919 patients were excluded because UDS was not ordered: either patients were established or had low risk of substance abuse by clinicians’ judgement. 2 patients did not complete ESAS on same day of UDS. 137 patients were excluded because of missing UDS results as well. Finally, 249 out of 919 patients were included for data analysis with their UDS and ESAS at same day of visit. 54 patients were positive for cannabis metabolite (THC: tetrahydrocannabinol) on UDS (22%). We found that positive cannabis group was younger (Mean age 56.1 vs 48.8, p-Value .001), reported higher score of total ESAS (Mean 45.5 vs 38.9, p-value 0.023), pain (Mean 6.13 vs 4.99, p-Value 0.007), and insomnia (6.04 vs 4.44, p-Value 0.001). In addition, positive cannabis group reported poorer overall wellbeing (5.43 vs 4.56, p-Value 0.015) and spiritual wellbeing (6.04 vs 4.44, p Value 0.040) compared to negative cannabis group. Conclusions: The positive results of cannabis on UDS may be a marker of greater symptom burden, in particular, pain, insomnia and poorer overall and spiritual wellbeing as assessed by ESAS patient’s self-reporting.


Author(s):  
Esme Finlay ◽  
Michael W. Rabow ◽  
Mary K. Buss

Well-designed, randomized trials demonstrate that outpatient palliative care improves symptom burden and quality of life (QOL) while it reduces unnecessary health care use in patients with cancer. Despite the strong evidence of benefit and ASCO recommendations, implementation of outpatient palliative care, especially in community oncology settings, faces considerable hurdles. This article, which is based on published literature and expert opinion, presents practical strategies to help oncologists make a strong clinical and fiscal case for outpatient palliative care. This article outlines key considerations for how to build an outpatient palliative care program in an institution by (1) defining the scope and benefits; (2) identifying strategies to overcome common barriers to integration of outpatient palliative care into cancer care; (3) outlining a business case; (4) describing successful models of outpatient palliative care; and (5) examining important factors in design and operation of a palliative care clinic. The advantages and disadvantages of different delivery models (e.g., embedded vs. independent) and different methods of referral (triggered vs. physician discretion) are reviewed. Strategies to make the case for outpatient palliative care that align with institutional values and/or are supported by local institutional data on cost savings are included.


Author(s):  
Kristen M. Reipas ◽  
Daphna L. Grossman ◽  
Karen Lock ◽  
Valerie B. Caraiscos

Context: Patients with non-malignant, advanced lung diseases (NMALD), such as chronic obstructive pulmonary disease (COPD) and interstitial lung disease (ILD), experience a high symptom burden over a prolonged period. Involvement of palliative care has been shown to improve symptom management, reduce hospital visits and enhance psychosocial support; however, optimal timing of referral is unknown. Objective: The aim of this study was to identify the stage in the illness trajectory that patients with NMALD are referred to an ambulatory palliative care clinic. Methods: A retrospective chart review was conducted on all patients with NMALD who attended a Supportive Care Clinic (SCC) between March 1, 2017 and March 31, 2019. Results: Thirty patients attended the SCC during the study period. The most common diagnoses included COPD (36.7%), ILD (36.7%), and bronchiectasis (3.3%). At the time of initial consultation, the majority (89.4%) had Medical Research Council (MRC) class 4-5 dyspnea, however, only 1 patient had been prescribed opioids for management of breathlessness. Twenty-six patients had advance care planning discussions in the SCC. Phone appointments were a highly utilized feature of the program as patients had difficulty attending in-person appointments due to frailty and dyspnea. One-half of patients had at least 1 disease-related hospital admission in the previous year. Six patients were referred directly to home palliative care at their initial consultation. Conclusions: Referral to palliative care often occurs at late stages in non-malignant lung disease. Further, opioids for the management of dyspnea are significantly underutilized by non-palliative providers.


2013 ◽  
Vol 31 (31_suppl) ◽  
pp. 167-167
Author(s):  
Joseph D. Ma ◽  
John M. Horton ◽  
Michael Hwang ◽  
Rabia S. Atayee ◽  
Eric Roeland

167 Background: Historically, it was believed that cancer patients could not have aberrant drug behaviors. However, clinical experience suggests otherwise. The prevalence of aberrant drug behaviors of cancer patients is unknown as screening is uncommon. Consequently, the UCSD Moores Cancer Center outpatient palliative care clinic initiated screening of aberrant drug behaviors utilizing the opioid risk tool (ORT) on new consultations. The purpose of this retrospective analysis was to identify key risk factors of aberrant behaviors of cancer patients and formulate a routine approach to follow-up and medications quantities. Methods: The treating oncologist referred new consultations to the outpatient palliative care clinic. A cohort of 93 cancer patients was evaluated from July 2012 to February 2013. Patients completed a 10-item, provider-administered, ORT during the consultation visit. Based on the ORT, patients were stratified into high-, moderate-, or low-risk for abarrent drug behavior and follow-up appointments and opioid quantities were adjusted accordingly. Results: Of the 93 patients, 48% were men and 52% women. Most patients had metastatic cancer (n=50; 54%) of gastrointestinal primary (n=27; 29%). Fifty-six (60%) patients were stratified as low-, 15 (16%) moderate-, and 22 (24%) high-risk based on ORT score. The most common risk factors for aberrant behaviors were a history of depression (women=25; men=17) and family history of alcohol abuse (women=22; men=18). There was no difference in the prevalence of depression (p=0.17) or family history of alcohol abuse (p=0.57). The least common risk factor was a personal history of prescription drug abuse (n=1) in women and history of preadolescent sexual abuse in men (n=0). Conclusions: Screening of cancer patients suggests risk factors for aberrant drug behavior exist. Stratifying patients based on a standard, routine tool can help identify cancer patients at risk for aberrant drug behaviors. Moderate and high-risk patients can then be followed closely with limited quantities of opioids until trust is established.


2016 ◽  
Vol 12 (9) ◽  
pp. e828-e838 ◽  
Author(s):  
Kathleen E. Bickel ◽  
Kristen McNiff ◽  
Mary K. Buss ◽  
Arif Kamal ◽  
Dale Lupu ◽  
...  

Purpose: Integrated into routine oncology care, palliative care can improve symptom burden, quality of life, and patient and caregiver satisfaction. However, not all oncology practices have access to specialist palliative medicine. This project endeavored to define what constitutes high-quality primary palliative care as delivered by medical oncology practices. Methods: An expert steering committee outlined 966 palliative care service items, in nine domains, each describing a candidate element of primary palliative care delivery for patients with advanced cancer or high symptom burden. Using modified Delphi methodology, 31 multidisciplinary panelists rated each service item on three constructs: importance, feasibility, and scope within medical oncology practice. Results: Panelists endorsed the highest proportion of palliative care service items in the domains of End-of-Life Care (81%); Communication and Shared Decision Making (79%); and Advance Care Planning (78%). The lowest proportions were in Spiritual and Cultural Assessment and Management (35%) and Psychosocial Assessment and Management (39%). In the largest domain, Symptom Assessment and Management, there was consensus that all symptoms should be assessed and managed at a basic level, with more comprehensive management for common symptoms such as nausea, vomiting, diarrhea, dyspnea, and pain. Within the Appropriate Palliative Care and Hospice Referral domain, there was consensus that oncology practices should be able to describe the difference between palliative care and hospice to patients and refer patients appropriately. Conclusion: This statement describes the elements comprising high-quality primary palliative care for patients with advanced cancer or high symptom burden, as delivered by oncology practices. Oncology providers wishing to enhance palliative care delivery may find this information useful to inform operational changes and quality improvement efforts.


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