Patients’ characteristics and outcomes of palliative care inpatient consults at a comprehensive cancer center

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 8524-8524 ◽  
Author(s):  
B. El Osta ◽  
F. S. Braiteh ◽  
S. Reddy ◽  
H. El Osta ◽  
E. Bruera

8524 Background: There is limited information about the characteristics and outcomes of inpatient palliative care consults in cancer centers. Two mobile teams (MT) each with a physician, fellow, and a nurse, provide consultation to hospitalized patients (pts) with complex symptoms. Methods: We analyzed the pts characteristics and outcomes during a two-month period. The charts were reviewed for demographics, cancer data, reason for consultation, symptoms, interventions, and outcomes. Results: Sixty-one pts were analyzed. Pain was the main reason for a consult request in 46 pts (75%), delirium in 10 (16%), anxiety in 4 (7%) and constipation in 5 (8 %). Some pts had more than one reason. 56(92%) pts had metastatic disease, diagnosis for ≤1 year in 26 (42%) and ≤2 years in 44 (72%) (Median =17 months). The Edmonton Symptom Assessment Scale (ESAS), 0–10, is summarized in the table. We uncovered new issues at consultation, such as 20 pts (38%) screened positive for alcoholism with CAGE questionnaire and the 34 pts (56%) had clinical delirium. Features of opioids toxicity such as constipation (N=43;70%), confusion (N=35;57%) (Mean MMSE = 23 ± 5), hallucinations (N=21;34%), myoclonus (N=16;26%) and miosis (N=18;29%) were frequently identified. The MT interventions included imaging studies (23%), enema (43%), laxatives (49%), neuroleptics (54%), metoclopramide (39%), corticosteroids (25%). Half (N=30;50%) of the pts had opioid rotation and/or had counseling (N=27;46%). One out of two pts (N=30;49%) required transfer to the palliative care unit. Conclusions: Most pts had previously undiagnosed opioid toxicity, delirium, and other symptoms. Opioid toxicity occurred secondary to rapid opioid escalation, possibly linked to chemical coping, and psychosocial distress. The outcome of these pts improved by opioid rotation, adding laxatives, metoclopramide, neuroleptics, and steroids. [Table: see text] No significant financial relationships to disclose.

2017 ◽  
Vol 35 (31_suppl) ◽  
pp. 124-124
Author(s):  
Diane Portman ◽  
Sarah Thirlwell ◽  
Kristine A. Donovan

124 Background: Appetite and weight loss are common in patients with advanced cancer and specialized cachexia clinics have been established to address these symptoms. Given the association between anorexia/cachexia and other adverse symptoms, these patients may also benefit from specialty level palliative care (PC). However, referral to outpatient specialty level PC is often delayed or does not occur. We sought to examine the prevalence of other factors associated with appetite and weight loss in patients with advanced cancer and the impact of a specialized cachexia clinic on identification and treatment of other PC needs. Methods: The records of patients referred by their Oncologist to the cachexia clinic of a cancer center from August 2016 to June 2017 were reviewed retrospectively. Subjects who had been referred to PC by their Oncologist were excluded. Patients had been assessed for symptom burden using the Edmonton Symptom Assessment Scale (ESAS-r). Patients identified with PC needs had been referred to the PC clinic for follow-up within 30 days after cachexia clinic consultation. Results: Thirty subjects were evaluated in the cachexia clinic (average age 68 years; 63% female). The predominant diagnosis was lung cancer (70%). An average of 6 symptoms per patient were in the moderate to severe range on ESAS, excluding appetite. Depression, fatigue and pain were most common. The average cachexia clinic total ESAS score was 51.61. Only 17% of patients had completed advance directives. Ninety-three % of patients were referred to PC and 68% were seen. The average number of PC visits was 2.79. Within the PC clinic, advance directive completion increased to 37%, goals of care discussion occurred with 50% and 17% received hospice referrals. At the most recent follow-up in the PC clinic, the average total ESAS score had decreased by 11.44 (22%) and all ESAS item scores were improved on average. Conclusions: The cachexia clinic proved a useful means to identify other PC needs and achieve effective PC referrals. We suggest this is proof of concept that specialty clinics can be a meaningful way to achieve an earlier entry point to comprehensive PC in patients who were not previously referred by their Oncologists.


2016 ◽  
Vol 34 (26_suppl) ◽  
pp. 116-116
Author(s):  
Ahsan Azhar ◽  
Sriram Yennu ◽  
Aashraya Ramu ◽  
Haibo Zhang ◽  
Ali Haider ◽  
...  

116 Background: Multiple barriers exist in providing quality palliative care to low-income patients with cancer. Such disparities may negatively influence effective management of symptoms including pain. Our objective was to compare referral patterns and characteristics (level of symptom distress) of uninsured vs insured patients. Methods: We reviewed randomly selected charts of 100 Indigent (IND) and 100 Medicaid (MC) patients and compared them with a random sample of 300 patients with insurance (INS) referred during the same time period (1/2010 to 12/2014) to our SCC. Data was collected for date of registration at the cancer center, diagnosis of Advanced Cancer (ACD), first visit to the SCC (PC1), symptom assessment (Edmonton Symptom Assessment Scale-ESAS) at PC1. We excluded self-pay patients. Results: Results for IND, MC and INS (n = 481) respectively are as follows: Mean (SD) Age in yrs. was 50 (12), 48 (11) and 63 (13); p < 0.001. Percentage of non-white was 44%, 51% and 19.5%; p < 0.001. Percentage of unmarried patients was 64%, 68% and 33%; p < 0.001. Mean (SD) ESAS score at PC1 for pain was 5.6 (3.2), 6.7 (2.5), 4.9 (3.2); p < 0.001. Percentage of patients on opioids upon referral was 86%, 62%, and 54%; p < 0.001. Mean (SD) for referral time in months from ACD to PC1 was 8.7 (SD 10.4), 12.3 (SD 18.1) and 12 (SD 19.9) p = 0.31; for no. of encounters with SC per month were 0.46 (0.45), 0.41 (0.46) and 0.3 (0.55); p = 0.01; for survival in months (PC1 to last contact) was 6.4 (5.8), 5.6 (6.4) & 6 (7.22) p = 0.77. Conclusions: Uninsured patients had significantly higher levels of pain, were more frequently on opioids, younger, non-white and not married. They also required a larger number of SCC encounters. Insurance status did not impact timing of SCC referral or SCC follow ups at our cancer center.


2011 ◽  
Vol 28 (7) ◽  
pp. 475-482 ◽  
Author(s):  
Patricia Claessens ◽  
Johan Menten ◽  
Paul Schotsmans ◽  
Bert Broeckaert

Palliative cancer patients are faced with multiple symptoms that threaten their quality of life. To manage these symptoms, a reliable and valid way of registration is crucial. In this study, the Edmonton Symptom Assessment Scale (ESAS) has been translated, modified, and tested on content, face, criterion, construct validity, and internal consistency for patients admitted to Flemish palliative care units. These aspects are tested in a descriptive, comparative, longitudinal study based on 3 convenience samples. The first consisted of 8 palliative care experts. The second sample checked the face validity and consisted of 4 patients, 5 family members, and 5 nurses. The last sample involved 23 patients admitted to 3 Flemish palliative care units. Heedful of the “new-wave” vision on validity, the translated and altered ESAS seemed a suitable instrument for the symptom assessment of patients with cancer admitted to a palliative care unit.


2019 ◽  
Vol 15 (1) ◽  
pp. e74-e83 ◽  
Author(s):  
Sriram Yennurajalingam ◽  
Zhanni Lu ◽  
Suresh K. Reddy ◽  
EdenMae C. Rodriguez ◽  
Kristy Nguyen ◽  
...  

PURPOSE: An understanding of opioid prescription and cost patterns is important to optimize pain management for patients with advanced cancer. This study aimed to determine opioid prescription and cost patterns and to identify opioid prescription predictors in patients with advanced cancer who received inpatient palliative care (IPC). MATERIALS AND METHODS: We reviewed data from 807 consecutive patients with cancer who received IPC in each October from 2008 through 2014. Patient characteristics; opioid types; morphine equivalent daily dose (MEDD) in milligrams per day of scheduled opioids before, during, and after hospitalization; and in-admission opioid cost per patient were assessed. We determined symptom changes between baseline and follow-up palliative care visits and the in-admission opioid prescription predictors. RESULTS: A total of 714 (88%) of the 807 patients were evaluable. The median MEDD per patient decreased from 150 mg/d in 2008 to 83 mg/d in 2014 ( P < .001). The median opioid cost per patient decreased and then increased from $22.97 to $40.35 over the 7 years ( P = .03). The median MEDDs increased from IPC to discharge by 67% ( P < .001). The median Edmonton Symptom Assessment Scale pain improvement at follow-up was 1 ( P < .001). Younger patients with advanced cancer (odds ratio [OR[, 0.95; P < . 001) were prescribed higher preadmission MEDDs (OR, 1.01; P < .001) more often in the earlier study years (2014 v 2009: OR, 0.18 [ P = .004] v 0.30 [ P = .02]) and tended to use high MEDDs (> 75 mg/d) during hospitalization. CONCLUSION: The MEDD per person decreased from 2008 to 2014. The opioid cost per patient decreased from 2008 to 2011 and then increased from 2012 to 2014. Age, prescription year, and preadmission opioid doses were significantly associated with opioid doses prescribed to patients with advanced cancer who received IPC.


2014 ◽  
Vol 32 (31_suppl) ◽  
pp. 164-164
Author(s):  
Akhila Sunkepally Reddy ◽  
Sriram Yennu ◽  
Jimin Wu ◽  
Diane Liu ◽  
Suresh K. Reddy ◽  
...  

164 Background: Cancer pain is initially treated with intermediate strength analgesics such as hydrocodone and subsequently escalated to stronger opioids. There are no studies on the process of opioid rotation (OR) from hydrocodone to strong opioids in cancer patients. Our aim was to determine the conversion ratio (CR) for OR from hydrocodone to morphine equivalent daily dose (MEDD) in cancer outpatients. Methods: We reviewed records of 3,144 consecutive patient visits at our Supportive Care Center in 2011-12 for OR from hydrocodone to stronger opioids. Data regarding demographics, Edmonton Symptom Assessment Scale (ESAS), and MEDD were collected in patients who returned for follow up within 6 weeks. Linear regression analysis was used to estimate the CR between hydrocodone and MEDD. Successful OR was defined as 2-point or 30% reduction in the pain score and continuation of the new opioid at follow up. Results: 170/3,144 patients underwent OR from hydrocodone to stronger opioid. 72% were white, 56% male, and 81% had advanced cancer. The median time between OR and follow up was 21 days. 53% had a successful OR with significant improvement in the ESAS pain and symptom distress scores. In 100 patients with complete OR and no worsening of pain at follow up, the median CR (Q1-Q3) from hydrocodone to MEDD was 1.5 (0.9-2) and hydrocodone dose to MEDD correlation was.52 (P<0.0001). The correlation of CR with hydrocodone dose was -0.52 (P<0.0001). The median CR of hydrocodone to MEDD was 2 in patients receiving < 40mg of hydrocodone/day and 1 in patients receiving ≥ 40mg of hydrocodone/day (P<0.0001). The median conversion ratio of hydrocodone to morphine was 1.5 (n=44) and hydrocodone to oxycodone was 0.9 (n=24). Conclusions: Hydrocodone is 1.5-fold stronger than Morphine. The median conversion ratio from hydrocodone to MEDD varied according to hydrocodone dose/day. [Table: see text]


2015 ◽  
Vol 33 (29_suppl) ◽  
pp. 182-182
Author(s):  
Akhila Sunkepally Reddy ◽  
Sriram Yennu ◽  
Suresh K. Reddy ◽  
Jimin Wu ◽  
Diane D Liu ◽  
...  

182 Background: Despite being the most frequently prescribed strong opioid by oncologists, there is a lack of knowledge of the accurate the opioid rotation ratio (ORR) from transdermal fentanyl (TDF) to other strong opioids in cancer patients. Opioid rotation (OR) from TDF to other strong opioids is performed very frequently in cancer patients for uncontrolled pain or opioid induced neurotoxicity (OIN). The aim of our study was to determine the ORR of TDF to other strong opioids, as measured by morphine equivalent daily dose (MEDD). Methods: In this ad hoc analysis, we reviewed 2471 consecutive patient visits to the supportive care center of a tertiary cancer center in 2008 for an OR from TDF to other strong opioids by a palliative medicine specialist. Information regarding demographics, Edmonton Symptom Assessment Scale (ESAS), and MEDD were collected in patients who followed-up within 6 weeks. Linear regression analysis was used to estimate the ORR between TDF dose and net MEDD (MEDD after OR minus MEDD of breakthrough opioid used along with TDF before OR). Successful OR was defined as 2-point or 30% reduction in pain score and continuation of the new opioid at follow up. Results: 47/2471 patients underwent OR from TDF to other opioids and followed-up within 6 weeks. The median age was 54 years, 53% were male, and 77% had advanced cancer. The median time between OR and follow up was 14 days. Uncontrolled pain (83%) followed by OIN (15%) were the most frequent reasons for OR and 77% had a successful OR with significant improvement in ESAS pain and symptom distress scores. In patients with OR and no worsening of pain at follow-up (n = 41), the median ORR (range) from TDF mg/day to net MEDD was 100 (12.5-217), TDF mcg/hour to net MEDD was 2.4 (0.3-5.2), and correlation of TDF dose to net MEDD was .60 (P < 0.0001). Conclusions: The median ORR from TDF mg/day to MEDD is 100 and from TDF mcg/hour to MEDD is 2.4. Further validation studies are needed.


2015 ◽  
Vol 33 (29_suppl) ◽  
pp. 181-181
Author(s):  
Akhila Sunkepally Reddy ◽  
Ali Haider ◽  
Supakarn Tayjasanant ◽  
Jimin Wu ◽  
Diane D Liu ◽  
...  

181 Background: Cancer patients frequently undergo opioid rotation (OR) for uncontrolled pain or opioid induced neurotoxicity. TDF is one of the most common opioids prescribed to cancer patients. However, the accurate ORR from other opioids to TDF is unknown and various currently used methods result in a wide variation of ORRs. Our aim was to determine the ORR of morphine equivalent daily dose (MEDD) to TDF when correcting for MEDD of breakthrough opioids (net MEDD) in cancer outpatients. Methods: We reviewed records of 22,532 consecutive patient visits at our Supportive Care Center in 2010-13 for OR from to TDF by a palliative medicine specialist. Data regarding Edmonton Symptom Assessment Scale (ESAS) and MEDD were collected in patients who returned for follow up within 5 weeks. Linear regression analysis was used to estimate the ORR between TDF dose and net MEDD (MEDD prior to OR minus MEDD of breakthrough opioid used along with TDF after OR). Successful OR was defined as 2-point or 30% reduction in pain score and continuation of the new opioid at follow up. Results: 129 patients underwent OR to TDF from other opioids. The mean age was 56 years, 59% male, and 88% had advanced cancer. The median time between OR and follow up was 14 days. Uncontrolled pain (80%) was the most frequent reason for OR and 59% had a successful OR with significant improvement in ESAS pain, constipation, and symptom distress scores. In 101 patients with OR and no worsening of pain at follow up, the median ORR (range) from net MEDD to TDF mg/day was .01 (-0.02-0.04) and correlation of TDF dose to net MEDD was .77 (P < .0001). The ORR was not significantly impacted by variables such as mucositis, serum albumin, and body mass index (BMI). The ORR of .01 suggests that MEDD of 100mg is equivalent to 1mg TDF/day or 40mcg/hour TDF patch (1000mcg/24hours). Conclusions: The median ORR from MEDD to TDF mg/day is .01 and the ORR from MEDD to TDF mcg/hour patch is 0.4. Further validation studies are needed. [Table: see text]


2016 ◽  
Vol 34 (26_suppl) ◽  
pp. 64-64 ◽  
Author(s):  
Paola Langer ◽  
Pedro Emilio Perez-Cruz ◽  
Cecilia Carrasco Escarate ◽  
Pilar Bonati ◽  
Bogomila Batic ◽  
...  

64 Background: Improving symptom control during end of life (EOL) is a core goal of palliative care. When patients are not able to report their symptoms, caregivers (CG) report symptom intensity as surrogates. Data show that there is good agreement between patients and CG in reporting symptom intensity. However, little is known about factores that influence CGs’ accuracy. The aim of the study was to determine CG accuracy of advanced cancer patients’ symptoms and to identify CG factors that could modify it. Methods: In this prospective study, patients with advanced cancer enrolled in the National Program of Palliative Care at a public Hospital in Santiago, Chile and their CGs independently scored ten patients’ symptoms using the Edmonton Symptom Assessment Scale (ESAS). Correlation between patient and CG scores were estimated for each symptom. Differences between patient and CG scores were calculated for each symptom and were transformed into positive values. A continuous variable was created with the sum of all the differences as an indicator of caregiver overall accuracy, with smaller scores meaning better accuracy. CG depression, anxiety (HADS) and burden (ZARIT) were also assessed. Results: 36 patients and their CG were included in this preliminary analysis. Mean patient age was 64, 20 (56%) females, 13 (36%) had GI cancer, 7 (19%) lung cancer and 16 (45%) other. Mean caregiver age was 53, 25 (69%) female. We found positive correlations between patients’ and caregivers’ assessment of pain, fatigue, nausea, anorexia, dyspnea, depression and insomnia (r > 0.3 and p < .05 for each symptom). CG accuracy ranged between 10 and 44 points (mean 25, standard deviation 9) and was not associated with CG age, gender, depression, anxiety or burden. CG accuracy was negatively associated with CG worrying thoughts as assessed by one of the HADS questions (Coef -3.99, p = .015), meaning that CG were more accurate when their worrying thoughts were higher. This association remained significant when adjusted by CG depression, anxiety and burden. Conclusions: CG are more accurate in reporting patient symptoms when their levels of worrying thoughts are higher. This information may have implications in interpreting CG report during EOL.


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