Self-Guided Psycho-Oncology: A Pilot Implementation Study Evaluating Usage of Conflict Analysis with Cancer Patients

Author(s):  
Maxwell Levis ◽  
Albert Levis ◽  
Melodie Walker ◽  
Michele Pilz ◽  
Alan Eisemann
2012 ◽  
Author(s):  
Sarah L. Desmarais ◽  
Brian Gregory Sellers ◽  
Joel Dvoskin ◽  
Jodi L. Viljoen ◽  
Keith Cruise ◽  
...  

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Anja Ebker-White ◽  
Kendall J. Bein ◽  
Saartje Berendsen Russell ◽  
Michael M. Dinh

Abstract Background The Sydney Triage to Admission Risk Tool (START) is a validated clinical analytics tool designed to estimate the probability of in-patient admission based on Emergency Department triage characteristics. Methods This was a single centre pilot implementation study using a matched case control sample of patients assessed at ED triage. Patients in the intervention group were identified at triage by the START tool as likely requiring in-patient admission and briefly assessed by an ED Consultant. Bed management were notified of these patients and their likely admitting team based on senior early assessment. Matched controls were identified on the same day of presentation if they were admitted to the same in-patient teams as patients in the intervention group and same START score category. Outcomes were ED length of stay and proportion of patients correctly classified as an in-patient admission by the START tool. Results One hundred and thirteen patients were assessed using the START-based model of care. When compared with matched control patients, this intervention model of care was associated with a significant reduction in ED length of stay [301 min (IQR 225–397) versus 423 min (IQR 297–587) p < 0.001] and proportion of patients meeting 4 h length of stay thresholds increased from 24 to 45% (p < 0.001). Conclusion In this small pilot implementation study, the START tool, when used in conjunction with senior early assessment was associated with a reduction in ED length of stay. Further controlled studies are now underway to further examine its utility across other ED settings.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ashley Sharp ◽  
Nick Riches ◽  
Annastesia Mims ◽  
Sweetness Ntshalintshali ◽  
David McConalogue ◽  
...  

10.2196/20131 ◽  
2020 ◽  
Author(s):  
Brian McKinstry ◽  
Helen Alexander ◽  
Gabriela Maxwell ◽  
Lesley Blaikie ◽  
Sameer Patel ◽  
...  

Author(s):  
Marie C. Haverfield ◽  
Ariadna Garcia ◽  
Karleen F. Giannitrapani ◽  
Anne Walling ◽  
Joseph Rigdon ◽  
...  

2013 ◽  
Vol 31 (31_suppl) ◽  
pp. 169-169
Author(s):  
Jennifer Carrie Obel ◽  
Bruce Brockstein ◽  
Tiffany Benfield ◽  
Chad Konchak ◽  
Ari Robicsek ◽  
...  

169 Background: To increase and systematize outpatient ACP, our quality improvement team developed enhancements in 2 oncologists’ cohorts of newly diagnosed, incurable cancer patients (pts). At 1st consultation, an ACP form is given to pts; a nurse assesses knowledge about medical POAs and goals of care. Pts return for chemotherapy teaching and ACP education session conducted by a nurse utilizing an ACP workbook describing end-of-life (EOL) scenarios. After reviewing the workbook, the nurse or social worker fills out an Advance Directive Note (ADN). At next visit, the oncologist reviews the plan, cosigns the ADN and inputs code status orders (CSOs). Alternatively, oncologists may choose to create the ADN. Methods: An EOL quality database of 9 metrics was created via the Electronic Health Record to measure quality of EOL care for cancer patients. Before pilot implementation, baseline assessment of ACP documentation in deceased cancer pts was obtained utilizing the EOL database for a 3 month time frame (12/12-2/13) for 2 oncologists (GI and thoracic oncology). These rates are compared to ACP documentation for newly diagnosed incurable cancer patients in the outpatient clinic during the 3 month pilot occurring from 3/13-5/13. Results: During the pilot, 5/13 (38%) new thoracic oncology patients and 13/17 (76%) GI patients had outpatient ADNs. The average days to ADN placement from 1st visit, was 14 and 10 in thoracic and GI, respectively. GI oncology placed 6/13 ADNs on the 1st visit; 12/13 GI pts had ADNs placed less than 10 days from 1st visit. GI oncology also placed 10/17 outpatient CSOs of which 8/10 were less than 10 days from 1st visit. In the same thoracic oncologist’s deceased patients during the baseline period, 2/20 (10%) had outpatient ADNs compared to 7/20 who had inpatient ADNs; 2/20 thoracic patients had outpatient CSOs compared to 15/20 with inpatient CSOs. In two comparable practices which did not participate in the pilot from 3/13-5/13, 0/26 and 1/26 new patients had outpatient ADNs and CSOs, respectively. Conclusions: Outpatient ACP is feasible early in the care of cancer patients through systematic improvement in work flow and motivated providers. Future research will focus on whether ACP soon after a cancer diagnosis affects downstream metrics of quality and cost of care during EOL.


Sign in / Sign up

Export Citation Format

Share Document