Evaluating risk characteristics for patients who die within 30 days of hospitalization.

2020 ◽  
Vol 38 (29_suppl) ◽  
pp. 161-161
Author(s):  
Christine Kurian ◽  
Jennifer Hong ◽  
Andrea Sweeney ◽  
Laetitia N'Dri ◽  
Karen Walsh ◽  
...  
Keyword(s):  
Palliative Care ◽  
Logistic Regression ◽  
Length Of Stay ◽  
End Of Life ◽  
End Of Life Care ◽  
Nutrition Status ◽  
Care Planning ◽  
Life Care ◽  
Oncology Patients ◽  
Code Status

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.

Outpatient palliative care at a tertiary cancer center: Perceptions, pathways, and pitfalls.

2012 ◽  
Vol 30 (34_suppl) ◽  
pp. 28-28
Author(s):  
Kavitha Ramchandran ◽  
Sandy Trieu ◽  
Stephanie Harman ◽  
Judy Passaglia ◽  
Janet Rodriguez ◽  
...  
Keyword(s):  
Palliative Care ◽  
End Of Life ◽  
Advance Care Planning ◽  
End Of Life Care ◽  
Cancer Center ◽  
Care Planning ◽  
Life Care ◽  
Code Status ◽  
Wide Range ◽  
Advance Care

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.

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
Keyword(s):  
Palliative Care ◽  
End Of Life ◽  
End Of Life Care ◽  
Academic Medical Center ◽  
Cancer Type ◽  
Life Care ◽  
Oncology Patients ◽  
Code Status ◽  
Care Plans

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.

scholarly journals Honoring Preferences—The Consistency Between End-of-Life Care and a Veteran’s Goal for Comfort Care

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 752-752
Author(s):  
Joan Carpenter ◽  
Winifred Scott ◽  
Mary Ersek ◽  
Cari Levy ◽  
Jennifer Cohen ◽  
...  
Keyword(s):  
Palliative Care ◽  
Logistic Regression ◽  
End Of Life ◽  
End Of Life Care ◽  
Life Care ◽  
Multivariate Logistic Regression ◽  
Comfort Care ◽  
Lower Odds ◽  
Medicare Data ◽  
Life Sustaining Treatment

Abstract This study examined the alignment between Veterans’ end-of-life care and a Life-Sustaining Treatment (LST) goal “to be comfortable.” It includes Veterans with VA inpatient or community living center stays overlapping July 2018--January 2019, with a LST template documented by January 31, 2019, and who died by April 30, 2019 (N = 18,163). Using VA and Medicare data, we found 80% of decedents with a comfort care goal received hospice and 57% a palliative care consult (compared to 57% and 46%, respectively, of decedents without a comfort care goal). Using multivariate logistic regression, a comfort care goal was associated with significantly lower odds of EOL hospital or ICU use. In the last 30 days of life, Veterans with a comfort care goal had 43% lower odds (AOR 0.57; 95% CI: 0.51, 0.64) of hospitalization and 46% lower odds of ICU use (AOR 0.54; 95% CI: 0.48, 0.61).

scholarly journals 309 The Growing Need for Advance Care Planning Discussion: An Admission to Die for?

2019 ◽  
Vol 48 (Supplement_3) ◽  
pp. iii17-iii65
Author(s):  
Aoife McFeely ◽  
Cliona Small ◽  
Susan Hyland ◽  
Jonathan O'Keeffe ◽  
Graham Hughes ◽  
...  
Keyword(s):  
Palliative Care ◽  
Older People ◽  
End Of Life ◽  
End Of Life Care ◽  
Care Planning ◽  
Life Care ◽  
Advance Care ◽  
Early Decision ◽  
One Year ◽  
The Right

Abstract Background Older people living in nursing homes (NHs) are among the most frail and vulnerable in our community. Over the last 5 years, a review of our local NH admission database revealed a 7% increase in the number of unscheduled hospital attendances from NHs (1015 in 2012/13 vs 1435 in 2016/17). Additionally we have seen an increase in the number of NH residents experiencing ≥2 unscheduled re-admissions within one year (21.1% in 2012/13 vs 30.45% in 2016/17). Our aim was to examine the proportion of patients from NHs who died within 24 hours of presentation, prompting a review of methods that could prevent inappropriate hospital transfers and promoting dignified and comfortable end of life care. Methods A prospective database was collected between 01/01/2016 - 31/12/2017. This recorded all emergency admissions of older people from NHs recording length of stay, readmission rates and mortality. The data was retrospectively analysed, looking specifically at patients who died in hospital ≤ 24 hours Results Of 1435 ED admissions, 49 patients (3.4%) died in hospital ≤ 24 hours after presentation. Of these, 31 patients (61%) died in palliative care suites. 8 patients (16.3%) died in the ED. Conclusion A small number of NH residents presenting to our hospital died within 24 hours. A large proportion of these patients died in a palliative care suite, suggesting poor prognosis was identified rapidly after presentation. We wonder if some of these hospital transfers were avoidable and could certain patients have experienced less disruptive deaths in their NHs? Advanced Care Planning can be difficult for all involved. However, it plays an essential role in ensuring people receive the right care, at the right time, in the right place, from the right team. We support the collaborative roles of a palliative care CNS or Geriatric ANP, and integration with NH Outreach services, to facilitate early decision-making and promote better end of life care.

IMPROVING END-OF-LIFE CARE AND ADVANCE CARE PLANNING FOR FRAIL OLDER ADULTS IN CANADA

2018 ◽  
pp. 1-7
Author(s):  
J. Downar ◽  
P. Moorhouse ◽  
R. Goldman ◽  
D. Grossman ◽  
S. Sinha ◽  
...  
Keyword(s):  
Older Adults ◽  
Palliative Care ◽  
End Of Life ◽  
Advance Care Planning ◽  
End Of Life Care ◽  
Care Planning ◽  
Life Care ◽  
Frail Older Adults ◽  
Key Concepts ◽  
Advance Care

We present five Key Concepts that describe priorities for improving end-of-life care for frail older adults in Canada, and recommendations based on each Key Concept. Key Concept #1: Our end-of-life care system is focused on cancer, not frailty. Key Concept #2: We need better strategies to systematically identify frail older adults who would benefit from a palliative approach. Key Concept #3: The majority of palliative and end-of-life care will be, and should be, provided by clinicians who are not palliative care specialists. Key Concept #4: Organizational change and innovative funding models could deliver far better end-of-life care to frail individuals for less than we are currently spending. Key Concept #5: Improving the quality and quantity of advance care planning for frail older adults could reduce unwanted intensive care and costs at the end of life, and improve the experience for individuals and family members alike.

The effect of a multidisciplinary palliative care initiative on end-of-life care in gynecologic oncology patients

2017 ◽  
Vol 145 ◽  
pp. 23
Author(s):  
M.M. Mullen ◽  
L.M. Divine ◽  
B. Porcelli ◽  
I. Wilkinson-Ryan ◽  
M. Dans ◽  
...  
Keyword(s):  
Palliative Care ◽  
End Of Life ◽  
End Of Life Care ◽  
Gynecologic Oncology ◽  
Life Care ◽  
Oncology Patients

Improving code status documentation as a marker of advanced care planning at an outpatient academic cancer center: A pilot project.

2013 ◽  
Vol 31 (31_suppl) ◽  
pp. 38-38 ◽  
Author(s):  
Anjana Ranganathan ◽  
James J. Sauerbaum ◽  
Katie Green ◽  
Heather Sheaffer ◽  
Mary Coniglio ◽  
...  
Keyword(s):  
Pilot Study ◽  
End Of Life ◽  
End Of Life Care ◽  
Pilot Project ◽  
Cancer Center ◽  
Care Planning ◽  
Advanced Care Planning ◽  
Life Care ◽  
Code Status ◽  
Group A

38 Background: Advanced care planning can significantly impact the quality of end of life care. Readily accessible documentation of goals of care for patients (pts) known to have a high morbidity and mortality provides a concrete means for practitioners to discuss and guide advanced care planning. We previously reported a surprisingly small proportion of established pts in our oncology clinic with a documented code status (CS), and undertook a pilot project aimed at improving this rate. Methods: Query of the outpatient electronic medical record (EMR) at the Abramson Cancer Center for established pts revealed an average of 2% with a documented CS. Our pilot study focused on 8 providers in thoracic and gastrointestinal oncology. We established provider agreement on the importance of CS documentation, and analyzed the mechanisms in place for documentation. We educated providers on the method of documentation, raised visibility and importance of advanced directives, implemented a system of normalizing conversations for all new pts, reported weekly to providers on upcoming established pts without documentation and provided monthly report cards, indicating provider rates within the pilot group. Results: Prior to intervention, a median of 499-established pts per month were seen by our pilot group. A median of 50 pts (10%) had a documented CS with documentation rates by provider ranging from 0 – 91%. 5 of 8 providers had no established pts with a documented CS. After intervention, a median of 494-established pts per month were seen by the same group. A median of 197 pts (40%) (p < 0.05) had a documented CS with provider rates ranging from 26 – 94%. All providers had documented a CS on at least some of their established pts; improvements ranged from an increase of 0 to 26%, to an increase of 1 to 43%. Conclusions: Previously, at our institution, only a small minority of established patients with an oncologic diagnosis had documentation of CS in the readily available EMR. Our pilot study resulted in a statistically significant increase in the documentation rates for all providers over a 2-month period. We have yet to analyze the clinical significance of this, with attention to quality and cost of end of life care.

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