The association between hospitals’ risk-adjusted emergency department visits and survival and costs in kidney cancer patients.

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 609-609
Author(s):  
Joel E Segel ◽  
Eric W. Schaefer ◽  
Jay D. Raman ◽  
Christopher S. Hollenbeak

609 Background: As payers turn to alternative payment models, including the CMS Oncology Care Model, risk-adjusted emergency department (ED) visits are being incorporated as a quality. Yet little is know about this metric compares to existing metrics such as risk-adjusted mortality rates and costs. Methods: Using 2007-2012 SEER-Medicare data, we used logistic regression to model occurrence of an ED visit within 30 and 365 days for all kidney cancer patients receiving initial surgery. Our model controlled for demographics, stage, histology, systemic targeted therapy, and comorbidities. Based on model predictions, we created a ratio of actual versus predicted ED visits for hospitals to identify hospitals with higher and lower than predicted ED visit rates. We estimated the association between the hospitals’ ED visit ratio and hospitals’ risk-adjusted 365-day mortality rates, and 6- and 12-month total costs and total costs (less ED visits). Results: In our sample of 6,078 patients, 15.5% had an ED visit within 30 days of surgery and 43.5% within 365 days. For hospitals with ≥10 patients, we found no statistically significant association between 30-day or 365-day risk-adjusted ED visit rate and their 365-day risk-adjusted mortality rate. While hospitals’ 30-day ED visit rates were significantly associated with 6- and 12-month costs, the association was largely driven by the cost of the ED visit itself. Conversely, hospitals’ 365-day ED visit rates were significantly associated with 12-month costs after excluding the cost of the ED visit. Conclusions: Our results suggest hospitals’ risk-adjusted ED visit rates capture a qualitatively different measure of quality than the more commonly reported mortality rates and is significantly associated with patient cost.

2018 ◽  
Vol 36 (34_suppl) ◽  
pp. 143-143 ◽  
Author(s):  
Susan McInnes ◽  
Cheryl M Carrino ◽  
Laura Shoemaker

143 Background: The Oncology Care Model (OCM) is a novel 5-year quality-based Oncology payment and care delivery program established by the Centers for Medicare & Medicaid Service in 2016. OCM prioritizes high-quality, coordinated care for patients undergoing chemotherapy (chemo pts.) Participating centers provide augmented services to enhance care and meet quality goals. Challenging symptoms (sxs) are common among chemo pts and may lead to hospitalization and decreased quality of life. Specialist palliative care teams are not able to see all chemo pts with active sxs. Front line oncology care teams (FLC) need education on primary palliative sx management. Methods: Cleveland Clinic Taussig Cancer Institute is one of 181 practices voluntarily participating in OCM. Locations include main campus and 5 regional cancer offices with 100 oncologists caring for about 4,000 chemotherapy patients annually. Our OCM team engaged Oncology (Onc) and Palliative Medicine (PM) providers to standardize sx management. Education was provided to FLC of all disciplines. Electronic record analytics were used to determine emergency department (ED) utilization. Results: A multidisciplinary team of Onc and PM experts developed guidelines for 4 common sxs (chemotherapy-induced neuropathy, persistent cancer pain, nausea/vomiting and constipation. Guidelines were approved by key Onc and PM staff and made available to all providers online. There were 4 educational sessions for FLCs to all sites in 2017. Urgent sx outpatient appointment slots were created in oncology offices to address uncontrolled sx. From Dec 2017 to May 2018, ED visits for all cancer patients at main campus decreased from 500/month to 453/month (9.4%.) Reductions in ED visits were also seen at 2 hospitals adjacent to regional cancer centers (16% and 6%.) Conclusions: OCM participation provided an opportunity to improve care quality at our institution. Primary palliative sx guidelines were successfully developed by an interdisciplinary team and disseminated to FLC. Urgent sx management appointments were made available in oncology offices. These interventions coincided with a reduction in ED visits for all cancer patients.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 6579-6579
Author(s):  
Vikram Jairam ◽  
Daniel X. Yang ◽  
James B. Yu ◽  
Henry S. Park

6579 Background: Patients with cancer may be at high risk of opioid dependence due to physical and psychosocial factors, although little data exists to inform providers and policymakers. Our aim is to examine overdoses from prescription and synthetic opiates leading to emergency department (ED) visits among patients with cancer in the United States. Methods: The Healthcare Cost and Utilization Project Nationwide Emergency Department Sample (HCUP-NEDS) was queried for all patient visits with a primary diagnosis of prescription or synthetic opioid overdose between 2006 and 2015. Baseline differences between patients with and without cancer were assessed using chi-square and ANOVA testing. Overdose rates by primary cancer site were normalized using prevalence data from the Surveillance, Epidemiology, and End Results (SEER) Program. Weighted frequencies were used to create national estimates for all data analyses. Results: There were 682,820 weighted ED visits for synthetic opioid overdose, among which 34,547 (5.1%) visits were also associated with a diagnosis of cancer. During this timeframe, ED visits for opioid overdose among patients with cancer increased 2.5-fold, compared to 1.7-fold among those without cancer. 16.5% of patients with cancer had metastatic disease. Patients with cancer presenting for opioid overdose had higher risk of hospital admission (74.8% vs 49.6%), respiratory intubation (13.2% vs 12.2%), mortality (2.1% vs 1.1%), and cost-of-hospital-stay ($32,665 vs $31,824) compared to their non-cancer counterparts (all P < 0.05). Primary cancers with the highest normalized overdose rates (ED visits per 10,000 patients) were esophagus (134), liver & intrahepatic bile duct (124), and cervical cancer (124). Other common cancers had the following normalized overdose rates: lung (105), head and neck (70), and breast (26). Conclusions: Approximately 5% of all ED visits due to prescription and synthetic opioid overdose are among patients with cancer. The rate of increase in ED visits due to opioid overdose from cancer patients was nearly 50% higher than that from non-cancer patients over the 10-year study period. Patients with esophageal, liver, and cervical cancer may be at highest risk.


2021 ◽  
pp. OP.20.00617
Author(s):  
Arthur S. Hong ◽  
Hannah Chang ◽  
D. Mark Courtney ◽  
Hannah Fullington ◽  
Simon J. Craddock Lee ◽  
...  

PURPOSE: Patients with cancer undergoing treatment frequently visit the emergency department (ED) for commonly anticipated complaints (eg, pain, nausea, and vomiting). Nearly all Medicare Oncology Care Model (OCM) participants prioritized ED use reduction, and the OCM requires that patients have 24-hour telephone access to a clinician, but actual reductions in ED visits have been mixed. Little is known about the use of telephone triage for acute care. METHODS: We identified adults aged 18+ years newly diagnosed with cancer, linked to ED visits from a single institution within 6 months after diagnosis, and then analyzed the telephone and secure electronic messages in the preceding 24 hours. We coded interactions to classify the reason for the call, the main ED referrer, and other attempted management. We compared the acuity of patient self-referred versus clinician-referred ED visits by modeling hospitalization and ED visit severity. RESULTS: From 2011 to 2018, 3,247 adults made 5,371 ED visits to the university hospital and self-referred to the ED 58.5% of the time. Clinicians referred to outpatient or oncology urgent care for 10.3% of calls but referred to the ED for 61.3%. Patient self-referred ED visits were likely to be hospitalized (adjusted Odds Ratio [aOR], 0.89, 95% CI, 0.64 to 1.22) and were not more severe (aOR, 0.75, 95% CI, 0.55 to 1.02) than clinician referred. CONCLUSION: Although patients self-referred for six of every 10 ED visits, self-referred visits were not more severe. When patients called for advice, clinicians regularly recommended the ED. More should be done to understand barriers that patients and clinicians experience when trying to access non-ED acute care.


2021 ◽  
Author(s):  
Ming-Yuan Huang ◽  
Chia-Sui Weng ◽  
Hsiao-Li Kuo ◽  
Yung-Cheng Su

BACKGROUND A chatbot is an automatic text-messaging tool that creates a dynamic interaction and simulates a human conversation through text or voice via smartphones or computers. A chatbot could be an effective solution for cancer patients’ follow-up during treatment, and could save time for healthcare providers. OBJECTIVE We conducted a retrospective cohort pilot study to evaluate whether a chatbot-based collection of patient-reported symptoms during chemotherapy, with automated alerts to clinicians, could decrease emergency department (ED) visits and hospitalizations. A control group received usual care. METHODS Self-reporting symptoms were communicated via the chatbot, a Facebook Messenger-based interface for patients with gynecologic malignancies. The chatbot included questions about common symptoms experienced during chemotherapy. Patients could also use the text-messaging feature to speak directly to the chatbot, and all reported outcomes were monitored by a cancer manager. The primary and secondary outcomes of the study were emergency department visits and unscheduled hospitalizations after initiation of chemotherapy after diagnosis of gynecologic malignancies. Multivariate Poisson regression models were applied to assess the adjusted incidence rate ratios (aIRRs) for chatbot use for ED visits and unscheduled hospitalizations after controlling for age, cancer stage, type of malignancy, diabetes, hypertension, chronic renal insufficiency, and coronary heart disease. RESULTS Twenty patients were included in the chatbot group, and 43 in the usual-care group. Significantly lower aIRRs for chatbot use for ED visits (0.27; 95% CI 0.11–0.65; p=0.003) and unscheduled hospitalizations (0.31; 95% CI 0.11–0.88; p=0.028) were noted. Patients using the chatbot approach had lower aIRRs of ED visits and unscheduled hospitalizations compared to usual-care patients. CONCLUSIONS The chatbot was helpful for reducing ED visits and unscheduled hospitalizations in patients with gynecologic malignancies who were receiving chemotherapy. These findings are valuable for inspiring the future design of digital health interventions for cancer patients.


2019 ◽  
Vol 17 (3.5) ◽  
pp. EPR19-069 ◽  
Author(s):  
Siyana Kurteva ◽  
Robyn Tamblyn ◽  
Ari Meguerditchian

Background: Prescription opioid use and overdose has steadily increased over the past years, resulting in a dramatic increase in opioid-related emergency department (ED) visits and hospitalizations. Methods: This study used a prospective cohort of cancer patients having undergone surgery in Montreal (Quebec) to describe their post-discharge opioid use and identify potential patterns of unplanned health service use (ED visits, hospitalizations). Provincial health administrative claims were used to measure opioid dispensation as well as hospital re-admissions and ED visits. The hospital warehouse, patient chart and patient interview will be used to further describe patient’s medical profile. Marginal structural models will be used to model the association between use of opioids and risk of ED visits and hospitalizations. Inverse probability of treatment and censoring weights will be constructed to properly adjust for confounders that may be unbalanced between the opioid and non–opioid users as well as to account for competing risk due to mortality. Reasons for the re-admissions will also be presented as part of the analyses. Covariates will include patient comorbidities, medication history, and healthcare system characteristics such as nurse-to-patient and attending physician-to-patient ratios. Results (interim): A total of 821 were included in the study; of these, 73% (n=597) were admitted for a cancer procedure. At postoperative discharge, 605 (74%) of patients had at least one opioid dispensation, of which the majority (67%) were oxycodone with hydromorphone being the second most prescribed (28%). Among those who filled a prescription, mean age was 66 (13.4), 68% had no previous history of opioid use, and 10% have had 3 or more dispensing pharmacies in the year prior to admission, compared to less than 1% for the non–opioid users. Overall, 343 people refilled their opioid prescription at least once and 128 at least twice during the 1-year postoperative period. Among cancer patients who were opioid users, 214 ED visits occurred in the 1 year after surgery compared to only 40 for the non-cancer opioid users. Conclusion: This study will help to identify the risk profile of cancer patients who are most likely to continue using opioids for prolonged periods following surgical procedures as well as quantify the impact of opioid use and its associated burden on the healthcare system in order to identify areas for possible interventions.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 716-716
Author(s):  
Cassandra Hua ◽  
Wenhan Zhang ◽  
Portia Cornell ◽  
Momotazur Rahman ◽  
David Dosa ◽  
...  

Abstract Emergency department (ED) visits are associated with poor outcomes; however, state variation in ED use among assisted living (AL) residents is not well understood. Using 2017 Medicare data, we identified a cohort of 88,880 beneficiaries with dementia residing in larger ALs (25+ beds) and calculated risk-adjusted rates of all-cause and injury-related ED use per 100 person years, by state, adjusting for demographics and chronic conditions. Risk-adjusted state rates of all-cause ED visits ranged from 129.5 visits/100 person-years (95%CI=114.6,148.2) in New Mexico to 246.1 visits/100 person-years (95%CI= 224.9,274.8) in Rhode Island. The risk-adjusted rate of injury-related ED visits ranged from 91.4 visits/100 person-years (95%CI=83.0,101.4) in New Mexico to 135.9 visits/100 person-years (95%CI=126.9,146.6) in Montana. Potential reasons for these state variations will be discussed. Part of a symposium sponsored by Assisted Living Interest Group.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Hua-Shui Hsu ◽  
Tai-Hsien Wu ◽  
Chin-Yu Lin ◽  
Ching-Chun Lin ◽  
Tsung-Po Chen ◽  
...  

Abstract Background Dyspnea is a common trigger of emergency department visits among terminally ill and cancer patients. Frequent emergency department (ED) visits at the end of life are an indicator of poor-quality care. We examined emergency department visit rates due to dyspnea symptoms among palliative patients under enhanced home palliative care. Methods Our home palliative care team is responsible for patient management by palliative care specialists, residents, home care nurses, social workers, and chaplains. We enhanced home palliative care visits from 5 days a week to 7 days a week, corresponding to one to two extra visits per week based on patient needs, to develop team-based medical services and formulate standard operating procedures for dyspnea care. Results Our team cared for a total of 762 patients who exhibited 512 ED visits, 178 of which were due to dyspnea (mean ± SD age, 70.4 ± 13.0 years; 49.4% male). Dyspnea (27.8%) was the most common reason recorded for ED visits, followed by pain (19.0%), GI symptoms (15.7%), and fever (15.3%). The analysis of Group A versus Group B revealed that the proportion of nonfamily workers (42.9% vs. 19.4%) and family members (57.1% vs. 80.6%) acting as caregivers differed significantly (P < 0.05). Compared to the ED visits of the Group A, the risk was decreased by 30.7% in the Group B (P < 0.05). Conclusions This study proves that enhanced home palliative care with two additional days per week and formulated standard operating procedures for dyspnea could significantly reduce the rate of ED visits due to non-organic dyspnea during the last 6 months of life.


2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 6039-6039
Author(s):  
Lisa Catherine Barbera ◽  
Clare Atzema ◽  
Rinku Sutradhar ◽  
Hsien Seow ◽  
Doris Howell ◽  
...  

6039 Background: Since 2007 in Ontario, Canada, the Edmonton Symptom Assessment System (ESAS) has been routinely used to assess symptoms in cancer patients in both ambulatory and home-care settings. The purpose of this study was to determine the relationship between individual patient symptoms, and their severity, with the likelihood of an emergency department (ED) visit. Methods: The cohort includes all cancer patients in Ontario who completed an ESAS assessment between January 2007 and March 2009. We linked multiple provincial health databases to describe the cohort and determine if an ED visit occurred within 7 days of the patient’s first ESAS. Multivariate logistic regression was used to determine the association between symptom scores (absent: score 0; mild: 1-3; moderate: 4-7; severe: 8-10) and the likelihood of an ED visit. Results: The cohort included 45,118 unique patients whose first assessment contributes to the study. 3.8% (n=1732) had an ED visit. The patients with ED visits were more likely to be men, to have lung or gastro-intestinal cancer, to have had recent radio or chemotherapy, and to have a shorter survival. The proportion of patients with ED visits increased from 2% to 10-12% as individual symptom scores increased from 0 to 10. Anxiety and depression were not associated with ED visits in the model, regardless of severity. Pain, nausea, drowsiness, appetite and shortness of breath with moderate or severe scores were associated with ED visits. Tiredness and wellbeing were the only symptoms to show a significant association for mild, moderate and severe scores. A well being score of 7-10 (reference score=0) had the highest odds ratio of 1.8 (95% CI 1.4-2.3). Conclusions: Worsening symptoms clearly contribute to ED visits. While specific symptoms like pain are obvious targets for management in the outpatient setting, constitutional symptoms like wellbeing or fatigue are associated with even higher odds. Though difficult to manage, such symptoms also warrant detailed assessment in order to optimize patient outcomes.


2021 ◽  
Author(s):  
Ming-Yuan Huang ◽  
Chia-Sui Weng ◽  
Hsiao-Li Kuo ◽  
Yung-Cheng Su

BACKGROUND A chatbot is an automatic text-messaging tool that creates a dynamic interaction and simulates a human conversation through text or voice via smartphones or computers. A chatbot could be an effective solution for cancer patients’ follow-up during treatment, and could save time for healthcare providers. OBJECTIVE We conducted a retrospective cohort study to evaluate whether a chatbot-based collection of patient-reported symptoms during chemotherapy, with automated alerts to clinicians, could decrease emergency department (ED) visits and hospitalizations. A control group received usual care. METHODS Self-reporting symptoms were communicated via the chatbot, a Facebook Messenger-based interface for patients with gynecologic malignancies. The chatbot included questions about common symptoms experienced during chemotherapy. Patients could also use the text-messaging feature to speak directly to the chatbot, and all reported outcomes were monitored by a cancer manager. The primary and secondary outcomes of the study were emergency department visits and unscheduled hospitalizations after initiation of chemotherapy after diagnosis of gynecologic malignancies. Multivariate Poisson regression models were applied to assess the adjusted incidence rate ratios (aIRRs) for chatbot use for ED visits and unscheduled hospitalizations after controlling for age, cancer stage, type of malignancy, diabetes, hypertension, chronic renal insufficiency, and coronary heart disease. RESULTS Twenty patients were included in the chatbot group, and 43 in the usual-care group. Significantly lower aIRRs for chatbot use for ED visits (0.27; 95% CI 0.11–0.65; p=0.003) and unscheduled hospitalizations (0.31; 95% CI 0.11–0.88; p=0.028) were noted. Patients using the chatbot approach had lower aIRRs of ED visits and unscheduled hospitalizations compared to usual-care patients. CONCLUSIONS The chatbot was helpful for reducing ED visits and unscheduled hospitalizations in patients with gynecologic malignancies who were receiving chemotherapy. These findings are valuable for inspiring the future design of digital health interventions for cancer patients.


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