ICU utilization among oncology patients at the end of life.

2019 ◽  
Vol 37 (27_suppl) ◽  
pp. 118-118
Author(s):  
Jennifer Hong ◽  
Christine Kurian ◽  
Jared Minetola ◽  
Valerie Pracilio Csik ◽  
Adam Binder

118 Background: Patients with advanced cancer have high rates of hospitalizations as a result of their oncologic care. Furthermore, these patients receive aggressive end of life care despite evidence that aggressive end of life care does not improves quality of life or outcomes for patients and is associated with worse bereavement adjustment for caregivers. The American Society of Clinical Oncology has endorsed several indicators of aggressive end of life care, but most striking is intensive care unit (ICU) admission within 30 days before death. Methods: Adult oncology patients who died within 30 days of hospitalization and/or admitted to the ICU from 10/2018-3/2019 at an academic medical center were evaluated. The cohort was identified using ICD-10 codes, EMR systems support, and manual chart review. Patient demographic data, cancer type, stage, line of therapy, code status, advanced care plan, prior admissions as well as other clinical characteristics were collected. Results: In total, 180 patients were included for analysis; 106 of which were admitted to the ICU. Of patients admitted to the ICU, 58 patients died (54.7%). Mean ECOG performance status was 1.24. Average number of admissions 3 and 6 months prior to death was 0.71 and 1.26. Thirty six percent of patients were on first or second-line chemotherapy. 41.37% of patients who died in the ICU had prolonged length of stay (>1 week). Only 34.48% were known to palliative care prior to admission and 12.06% of patients had advanced care plans in place at time of hospitalization. Palliative care was consulted on 32.75% of patients who died in the ICU. Ninety Three percent had their code status changed prior to death. Conclusions: Despite established recommendations to support otherwise, at our institution there continues to be high utilization of ICU care near the end of life. Previous admissions and ECOG status are poor predictors of death in this cohort. The majority of patients had relapsed and refractory disease. There was a low rate of advanced care planning or palliative care involvement prior to the patient’s hospitalization. Further interventions are underway to improve end of life planning in order to improve our quality of care.

2020 ◽  
Vol 38 (29_suppl) ◽  
pp. 161-161
Author(s):  
Christine Kurian ◽  
Jennifer Hong ◽  
Andrea Sweeney ◽  
Laetitia N'Dri ◽  
Karen Walsh ◽  
...  

161 Background: Advanced cancer patients often receive aggressive end of life care despite questionable benefit. As a result, there are ongoing efforts to improve end of life care and coordinate palliative care supportive services. This study is an expansion of a previous study performed examining descriptive data in a population of oncology patients who died within 30 days of admission. Here, we compare patients who died within 30 days of admission against those who survived to evaluate differences in patient characteristics and healthcare utilization. Methods: Adult oncology patients who were admitted from 10/1/2018-3/30/2019 at an academic medical center were evaluated. Two groups of patients were studied–oncology patients who died within thirty days of admission and those who survived. The patients were selected using ICD-10 codes, EMR systems support, and manual chart review. Additionally, we examined demographic (i.e. gender, ethnicity, cancer diagnosis) and clinical characteristics (i.e. level of care, code status, previous palliative care consult, palliative care consult in the hospital, nutrition status, clinical trial status, advance care planning, hospice enrollment). Statistical analysis included chi-squared and ANOVA tests, and logistic regression models. Results: A total of 267 patients were included in the analysis. For all patients in the study, 38% had a change in code status during their admission. 26% of patients had palliative care involvement and 23% were known to palliative care prior to admission. Twenty three percent spent the duration of their admission in the ICU for their end of life care. Significant mortality-level variation was found compared to overall mean number of admissions for the past 6 months (ANOVA F=25.3, p<0.0001). We conducted a logistic regression and adjusted for ethnicity, number of admits in the last 6 months, and length of stay to identify the outcome of patients who died within 30 days of admission vs. those who did not. Factors associated with increased odds of mortality included the number of admits in the last 6 months (OR 1.753, 95% CI: 1.397-2.200). Length of stay did not increase one’s odds for mortality (OR 0.989, 95% CI: 0.965-1.014). Conclusions: Low utilization of palliative care and advanced care planning was seen widely in both populations. Previous hospitalization in the last 6 months was a predictor of mortality in this patient population.


2020 ◽  
pp. bmjspcare-2020-00239
Author(s):  
Sandra Kurkowski ◽  
Johannes Radon ◽  
Annika R Vogt ◽  
Martin Weber ◽  
Stephanie Stiel ◽  
...  

BackgroundPalliative care strives to improve quality of life for patients with incurable diseases. This approach includes adequate support of the patients’ loved ones. Consequently, loved ones have personal experiences of providing end-of-life care for their next. This is a resource for information and may help to investigate the loved ones’ perspectives on need for improvements.AimTo identify further quality aspects considered important by loved ones to improve the quality of care at the end of life as an addition to quantitative results from the Care of the Dying Evaluation for the German-speaking area (CODE-GER) questionnaire.DesignWithin the validation study of the questionnaire ‘Care of the Dying Evaluation’ (CODETM) GER, loved ones were asked to comment (free text) in parallel on each item of the CODE-GER. These free-text notes were analysed with the qualitative content analysis method by Philipp Mayring.Setting/participantsLoved ones of patients (n=237), who had died an expected death in two university hospitals (palliative and non-palliative care units) during the period from April 2016 to March 2017.Results993 relevant paragraphs were extracted out of 1261 free-text notes. For loved ones, important aspects of quality of care are information/communication, respect of the patient’s and/or loved one’s will, involvement in decision-making at the end of life (patient’s volition) and having the possibility to say goodbye.ConclusionsIt is important for loved ones to be taken seriously in their sorrows, to be informed, that the caregivers respect the patients’ will and to be emotionally supported.Trial registration numberThis study was registered at the German Clinical Trials Register (DRKS00013916).


Author(s):  
Sriram Yennurajalingam

Culture play a significant role in the care of patients receiving Palliative care. Understanding and managing cultural differences in end-of-life care is important as misunderstanding can result in under-treatment and unnecessary suffering for the patient and their care providers. Therefore better understanding can improve patient–physician communication and potentially improve patients’ quality of life, coping, and facilitate patients to make informed decisions and set appropriate priorities with regard to treatment and end-of-life care. This chapter discusses key cultural issues in palliative care, including the concepts of nondisclosure, the importance of the use of a medical interpreter, and the importance of an interdisciplinary team.


2019 ◽  
Vol 34 (2) ◽  
pp. 219-230 ◽  
Author(s):  
Maria Heckel ◽  
Alexander Sturm ◽  
Stephanie Stiel ◽  
Christoph Ostgathe ◽  
Franziska A Herbst ◽  
...  

Background: In end-of-life care hygiene, measures concerning multidrug-resistant bacterial microorganisms may contradict the palliative care approach of social inclusion and be burdensome for patients. Objectives: To integrate patients’ perspectives on handling multidrug-resistant bacterial microorganisms at their end of life, their quality of life, the impact of positive multidrug-resistant bacterial microorganisms’ diagnosis, protection and isolation measures on their well-being and patients’ wishes and needs regarding their care. Design: A mixed-methods convergent parallel design embedded quantitative data on the patients’ multidrug-resistant bacterial microorganisms’ trajectory and quality of life assessed by the Schedule for the Evaluation of Individual Quality of Life in qualitative data collection via interviews and focus groups. Data analysis was performed according to Grounded Theory and qualitative and quantitative results were interrelated. Setting/participants: Between March 2014 and September 2015 at two hospitals adult patients diagnosed with multidrug-resistant bacterial microorganisms and treated in a palliative care department or a geriatric ward were included in the sample group. Results: Patients in end-of-life and geriatric care reported emotional and social impact through multidrug-resistant bacterial microorganisms’ diagnosis itself, hygiene measures and lack of information. This impact affects aspects relevant to the patients’ quality of life. Patients’ wishes for comprehensive communication/information and reduction of social strain were identified from the focus group discussion. Conclusion: Patients would benefit from comprehensible information on multidrug-resistant bacterial microorganisms. Strategies minimizing social exclusion and emotional impact of multidrug-resistant bacterial microorganisms’ diagnosis in end-of-life care are needed as well as adaption or supplementation of standard multidrug-resistant bacterial microorganisms’ policies of hospitals.


2017 ◽  
Vol 145 ◽  
pp. 23
Author(s):  
M.M. Mullen ◽  
L.M. Divine ◽  
B. Porcelli ◽  
I. Wilkinson-Ryan ◽  
M. Dans ◽  
...  

2012 ◽  
Vol 30 (34_suppl) ◽  
pp. 28-28
Author(s):  
Kavitha Ramchandran ◽  
Sandy Trieu ◽  
Stephanie Harman ◽  
Judy Passaglia ◽  
Janet Rodriguez ◽  
...  

28 Background: To describe an outpatient palliative care program at a quaternary cancer center- Stanford Cancer Institute. Outpatient palliative care (PC) programs are still in their nascency. Best practices are still being developed and key performance metrics are being delineated. This is a description of Stanford Cancer Institute outpatient PC program. Methods: Observational study of the first six months of encounters to the outpatient PC program. Description of potential barriers to launch and growth, as well as description of resources required for continued success. Data evaluated included program volume, referral patterns, advance care planning, symptom assessment and team structure as collected by the clinical team. Results: Initial barriers to program initiation included lack of funding and infrastructure. Additional barriers included coordination between teams, flow of care (patients late for next appointments), and cultural perceptions of palliative care as equal to end of life care. There are 32 referring practitioners to the program. Over the first six months the outpatient PC program has seen growth with volume increasing from 10 consults per month to 26 consults per month for a total of 60 patients. At the time of initial consult, 11 of the 60 patients seen had an advance directive. Only 1 patient had a physician order for life sustaining treatment (POLST). Code status was documented in 21 of the 60 patients. Conclusions: Our program had multiple barriers to launch: perceptions that palliative care equaled end of life care, lack of infrastructure and funding, and difficulty with coordination between teams. With administrative support the program secured funding, developed infrastructure with the assistance of IT, Cancer Center administration, and Care Coordination. Consults now come from a wide range of providers. Based on preliminary data indicating a very low percentage of completion of these tasks by patients on initial consult there is need for outpatient palliative care for advance care planning. Future growth will include continued penetration of the cancer center, increasing volume of consults, and additional assessments of patient satisfaction, symptom improvement, and hospital utilization.


2017 ◽  
Vol 145 ◽  
pp. 26
Author(s):  
N.S. Nevadunsky ◽  
C. Zanartu ◽  
P. Pinto ◽  
R. Barrera ◽  
A.R. Van Arsdale ◽  
...  

Cancer ◽  
2014 ◽  
Vol 120 (11) ◽  
pp. 1743-1749 ◽  
Author(s):  
David Hui ◽  
Sun Hyun Kim ◽  
Joyce Roquemore ◽  
Rony Dev ◽  
Gary Chisholm ◽  
...  

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