Abstract 4471: Patient-reported outcomes and emergency department (ED) visits among gastrointestinal (GI) cancer patients prescribed anti-CTLA4/PD-1/L-1 antibody immunotherapy

2020 ◽  
Author(s):  
Nadine J. McCleary ◽  
Jessica Cleveland ◽  
Sunyi Zhang ◽  
Vivek Upadhyay ◽  
Michael Hassett
Keyword(s):  
Emergency Department ◽  
Cancer Patients ◽  
Patient Reported Outcomes ◽  
Gi Cancer ◽  
Patient Reported ◽  
Antibody Immunotherapy ◽  
Ed Visits

Using a chatbot to reduce emergency department visits and unscheduled hospitalizations among patients with gynecologic malignancies during chemotherapy: a pilot study (Preprint)

2021 ◽  
Author(s):  
Ming-Yuan Huang ◽  
Chia-Sui Weng ◽  
Hsiao-Li Kuo ◽  
Yung-Cheng Su
Keyword(s):  
Emergency Department ◽  
Pilot Study ◽  
Usual Care ◽  
Cancer Patients ◽  
Text Messaging ◽  
Emergency Department Visits ◽  
Control Group ◽  
Gynecologic Malignancies ◽  
Patient Reported ◽  
Ed Visits

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.

scholarly journals Patient‐Reported Outcomes Predict Future Emergency Department Visits and Hospital Admissions in Patients With Stroke

2021 ◽  
Vol 10 (6) ◽  
Author(s):  
Irene L. Katzan ◽  
Nicolas Thompson ◽  
Andrew Schuster ◽  
Dolora Wisco ◽  
Brittany Lapin
Keyword(s):  
Emergency Department ◽  
Patient Reported Outcomes ◽  
Prediction Models ◽  
Hospital Admissions ◽  
Emergency Department Visits ◽  
Mitigation Strategies ◽  
Increased Risk ◽  
Patient Reported ◽  
Ed Visits ◽  
Unplanned Admissions

Background Identification of stroke patients at increased risk of emergency department (ED) visits or hospital admissions allows implementation of mitigation strategies. We evaluated the ability of the Patient‐Reported Outcomes Information Measurement System (PROMIS) patient‐reported outcomes (PROs) collected as part of routine care to predict 1‐year emergency department (ED) visits and admissions when added to other readily available clinical variables. Methods and Results This was a cohort study of 1696 patients with ischemic stroke, intracerebral hemorrhage, subarachnoid hemorrhage, or transient ischemic attack seen in a cerebrovascular clinic from February 17, 2015, to June 11, 2018, who completed the following PROs at the visit: Patient Health Questionnaire‐9, Quality of Life in Neurological Disorders cognitive function, PROMIS Global Health, sleep disturbance, fatigue, anxiety, social role satisfaction, physical function, and pain interference. A series of logistic regression models was constructed to determine the ability of models that include PRO scores to predict 1‐year ED visits and all‐cause and unplanned admissions. In the 1 year following the PRO encounter date, 1046 ED visits occurred in 548 patients; 751 admissions occurred in 453 patients. All PROs were significantly associated with future ED visits and admissions except PROMIS sleep. Models predicting unplanned admissions had highest optimism‐corrected area under the curve (range, 0.684–0.724), followed by ED visits (range, 0.674–0.691) and then all‐cause admissions (range, 0.628–0.671). PROs measuring domains of mental health had stronger associations with ED visits; PROs measuring domains of physical health had stronger associations with admissions. Conclusions PROMIS scales improve the ability to predict ED visits and admissions in patients with stroke. The differences in model performance and the most influential PROs in the prediction models suggest differences in factors influencing future hospital admissions and ED visits.

Do patient-reported symptoms predict for emergency department visits? A population-based analysis.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 6039-6039
Author(s):  
Lisa Catherine Barbera ◽  
Clare Atzema ◽  
Rinku Sutradhar ◽  
Hsien Seow ◽  
Doris Howell ◽  
...  
Keyword(s):  
Emergency Department ◽  
Cancer Patients ◽  
Symptom Assessment ◽  
Well Being ◽  
Population Based ◽  
Emergency Department Visits ◽  
Assessment System ◽  
Patient Reported ◽  
Symptom Scores ◽  
Ed Visits

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.

Phase III non-randomized controlled trial of PROMPT-Care, an eHealth intervention utilizing patient reported outcomes in routine clinical care: Impact on emergency department presentations.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 6510-6510 ◽  
Author(s):  
Afaf Girgis ◽  
Ivana Durcinoska ◽  
Anthony Arnold ◽  
Nasreen Kaadan ◽  
Andrew Alexis Miller ◽  
...  
Keyword(s):  
Emergency Department ◽  
Cancer Patients ◽  
Patient Reported Outcomes ◽  
Controlled Trial ◽  
Phase Iii ◽  
Control Group ◽  
Diverse Population ◽  
Patient Reported ◽  
The Impact

6510 Background: The significant impact of routine assessment and clinical utilization of patient-reported outcomes (PRO) on patient and survival outcomes and reduced emergency department (ED) presentations has been demonstrated in specific patient populations (e.g. advanced cancer). This controlled trial evaluated the impact of an eHealth system, PROMPT-Care, on ED presentations in a diverse population of cancer patients from four oncology treatments centers. Methods: All adult patients receiving cancer care (including adjuvant therapy and follow-up) were eligible, excepting those with a diagnosis of a hematological malignancy, insufficient English literacy or no internet access outside of the clinic. Intervention (PROMPT-Care) patients completed monthly online assessments comprising 61 items of distress, common symptoms and unmet needs, with PRO results electronically transferred into the electronic medical record (EMR). In “real-time”, the care team accessed patients’ PRO summary reports to guide their care, an email alert notified nurses of ongoing unresolved issues between visits, and patients received links to support self-management. Control group patients (n = 2,288) comprised the general cancer patient population receiving usual care at the participating cancer therapy centers. Multivariable negative binomial regression was used to compare between-group differences. Results: From April 2016 to March 2018, 345 eligible patients (mean age 62, 58% female, 27% stage IV) participated and were sent at least four assessments within the first six months on trial. On average, control patients had 30 ED presentations and PROMPT-Care patients had 21 ED presentations per 10,000 patient days. After adjusting for age, sex and stage of disease, PROMPT-Care patients had 26% (95% CI 0.2%, 57%) fewer ED presentations compared to the control group (p = 0.0483). Conclusions: The PROMPT-Care intervention resulted in significantly fewer ED presentations in a broad population of cancer patients, including those currently undergoing cancer treatment or are in follow-up, and patients with a wide range of tumor types. The results support its utility as an improved model for ongoing supportive care for a diverse population, with potential healthcare cost savings. Clinical trial information: ACTRN12616000615482.

scholarly journals MP01: The canary in the coal mine: Does palliative care consultation influence emergency department utilization?

CJEM ◽  
2017 ◽  
Vol 19 (S1) ◽  
pp. S65
Author(s):  
Z. Polsky ◽  
E. Lang ◽  
A. Sinnarajah ◽  
T. Fung ◽  
B. Thomas
Keyword(s):  
Emergency Department ◽  
Palliative Care ◽  
Cancer Patients ◽  
Administrative Databases ◽  
Emergency Department Utilization ◽  
Income Support ◽  
Gi Cancer ◽  
Palliative Care Consultation ◽  
Significant Difference ◽  
Ed Visits

Introduction: For cancer patients undergoing active treatment, emergency department (ED) visits may be an indicator of a breakdown in continuity and quality of care. Palliative care (PC) may be an important resource for patients in need of symptom management even during treatment with curative intent. This study aims to describe ED utilization by cancer patients and determine if PC consults impact ED use. Methods: Patient data from the Tom Baker Cancer Center (TBCC) was linked to PC and ED data as a retrospective cohort study. ED data was obtained from two administrative databases and PC data was obtained from four administrative databases and restricted to the first four hundred days following diagnosis. Univariate and Multivariate analyses were used. Results: Three actively treated cancer patient cohorts were identified based on first presentation following intake at the TBCC: 1) Used ED first (n=1637), 2) Used PC first (n=539), and 3) Only used services at the TBCC (n=2153). Using Multivariate analysis, patients living alone or who had a diagnosis of prostate or breast cancer were more likely to access the ED first or to only use services at the TBCC rather than access PC first. Patients who were divorced, on income support, or diagnosed with a lung or GI cancer, were more likely to access PC first rather than access the ED or only use services at the TBCC. A subgroup analysis was performed on those who accessed the ED at some point during their care, consisting of three groups: 1) ED Only Users (n=1091), 2) ED First Users, who also accessed PC (n=546), and 3) PC First Users, who also accessed the ED. There was a significant difference in rates of ED visits between the three groups: ED Only Users went to the ED at a rate of 3.8 per 1000 patient days; ED First Users, who also accessed PC, went to the ED at a rate of 7.7 per 1000 patient days; and PC First Users, who also accessed the ED, went to the ED at a rate of 9.2 per 1000 patient days (p< 0.001). Conclusion: In a tertiary cancer centre, patients who were divorced, on income support, or diagnosed with lung or GI cancer were more likely to access PC. Amongst those patients who presented to the ED, those who accessed PC first had higher rates of ED use. Further explorations of presenting complaints, utilization patterns, and symptom burdens will be analyzed to determine if early PC consults can influence or decrease ED utilization.

scholarly journals Electronic patient-reported outcomes and machine learning in predicting immune-related adverse events of immune checkpoint inhibitor therapies

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sanna Iivanainen ◽  
Jussi Ekstrom ◽  
Henri Virtanen ◽  
Vesa V. Kataja ◽  
Jussi P. Koivunen
Keyword(s):  
Machine Learning ◽  
Early Detection ◽  
Adverse Events ◽  
Cancer Patients ◽  
Immune Checkpoint ◽  
Patient Reported Outcomes ◽  
Prediction Models ◽  
Accuracy Score ◽  
Patient Reported ◽  
Auc Value

Abstract Background Immune-checkpoint inhibitors (ICIs) have introduced novel immune-related adverse events (irAEs), arising from various organ systems without strong timely dependency on therapy dosing. Early detection of irAEs could result in improved toxicity profile and quality of life. Symptom data collected by electronic (e) patient-reported outcomes (PRO) could be used as an input for machine learning (ML) based prediction models for the early detection of irAEs. Methods The utilized dataset consisted of two data sources. The first dataset consisted of 820 completed symptom questionnaires from 34 ICI treated advanced cancer patients, including 18 monitored symptoms collected using the Kaiku Health digital platform. The second dataset included prospectively collected irAE data, Common Terminology Criteria for Adverse Events (CTCAE) class, and the severity of 26 irAEs. The ML models were built using extreme gradient boosting algorithms. The first model was trained to detect the presence and the second the onset of irAEs. Results The model trained to predict the presence of irAEs had an excellent performance based on four metrics: accuracy score 0.97, Area Under the Curve (AUC) value 0.99, F1-score 0.94 and Matthew’s correlation coefficient (MCC) 0.92. The prediction of the irAE onset was more difficult with accuracy score 0.96, AUC value 0.93, F1-score 0.66 and MCC 0.64 but the model performance was still at a good level. Conclusion The current study suggests that ML based prediction models, using ePRO data as an input, can predict the presence and onset of irAEs with a high accuracy, indicating that ePRO follow-up with ML algorithms could facilitate the detection of irAEs in ICI-treated cancer patients. The results should be validated with a larger dataset. Trial registration Clinical Trials Register (NCT3928938), registration date the 26th of April, 2019

scholarly journals Linguistic validation of the simplified Chinese version of the US National Cancer Institute’s patient-reported outcomes version of the common terminology criteria for adverse events (PRO-CTCAE™)

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Cheng KKF ◽  
S. A. Mitchell ◽  
N. Chan ◽  
E. Ang ◽  
W. Tam ◽  
...  
Keyword(s):  
Adverse Events ◽  
Cancer Patients ◽  
Patient Reported Outcomes ◽  
A Priori ◽  
Cognitive Interviews ◽  
Simplified Chinese ◽  
Patient Reported ◽  
The Us ◽  
The Common ◽  
Response Choices

Abstract Background The aim of this study was to translate and linguistically validate the U.S. National Cancer Institute’s Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE™) into Simplified Chinese for use in Singapore. Methods All 124 items of the English source PRO-CTCAE item library were translated into Simplified Chinese using internationally established translation procedures. Two rounds of cognitive interviews were conducted with 96 cancer patients undergoing adjuvant treatment to determine if the translations adequately captured the PRO-CTCAE source concepts, and to evaluate comprehension, clarity and ease of judgement. Interview probes addressed the 78 PRO-CTCAE symptom terms (e.g. fatigue), as well as the attributes (e.g. severity), response choices, and phrasing of ‘at its worst’. Items that met the a priori threshold of ≥20% of participants with comprehension difficulties were considered for rephrasing and retesting. Items where < 20% of the sample experienced comprehension difficulties were also considered for rephrasing if better phrasing options were available. Results A majority of PRO-CTCAE-Simplified Chinese items were well comprehended by participants in Round 1. One item posed difficulties in ≥20% and was revised. Two items presented difficulties in < 20% but were revised as there were preferred alternative phrasings. Twenty-four items presented difficulties in < 10% of respondents. Of these, eleven items were revised to an alternative preferred phrasing, four items were revised to include synonyms. Revised items were tested in Round 2 and demonstrated satisfactory comprehension. Conclusions PRO-CTCAE-Simplified Chinese has been successfully developed and linguistically validated in a sample of cancer patients residing in Singapore.

scholarly journals Patient-Reported Outcomes, Health-Related Quality of Life, and Clinical Outcomes for Urothelial Cancer Patients Receiving Chemo- or Immunotherapy: A Real-Life Experience

2021 ◽  
Vol 10 (9) ◽  
pp. 1852
Author(s):  
Gry Assam Taarnhøj ◽  
Henriette Lindberg ◽  
Christoffer Johansen ◽  
Helle Pappot
Keyword(s):  
Quality Of Life ◽  
Cancer Patients ◽  
Patient Reported Outcomes ◽  
Life Experience ◽  
Locally Advanced ◽  
Neoadjuvant Treatment ◽  
Real Life ◽  
Oncological Treatment ◽  
Patient Reported

Patients with urothelial cell carcinoma (UCC) often have comorbidities, which cause trouble for the completion of oncological treatment, and little is known about their quality of life (QoL). The aim of the present study was to obtain and describe patient-reported outcomes (PRO) and QoL data from UCC patients in the treatment for locally advanced muscle-invasive or metastatic UCC. A total of 79 patients with UCC completed four questionnaires (EORTC QLQ-C30, QLQ-BLM30, HADS, and select PRO-CTCAE™ questions) once weekly during their treatment. From those, 26 patients (33%) underwent neoadjuvant treatment for local disease while 53 patients (67%) were treated for metastatic disease. Of all patients, 54% did not complete the planned treatment due to progression, nephrotoxicity, death, or intolerable symptoms during treatment. The five most prevalent PRO-CTCAE grade ≥ 2 symptoms were frequent urination (37%), fatigue (35%), pain (31%), dry mouth (23%), and swelling of the arms or legs (23%). The baseline mean overall QoL was 61 (±SD 24) for all patients (neoadjuvant (73, ±SD 19) and metastatic (54, ±SD 24)) and remained stable over the course of treatment for both groups. A stable overall QoL was observed for the patients in this study. More than half of the patients did not, however, complete the planned treatment. Further supportive care is warranted for bladder cancer patients.

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