225 research outputs found
Crump Lab
No full textOur lab specializes in patient-centered outcomes research, focusing on patient-reported outcomes in cancer care to enhance treatment decisions, patient triage, and resource allocation. Currently, we are developing the concept of "precision outcomes" in esophageal cancer to provide personalized insights into treatment consequences
Supplemental material for Relationship between preoperative patient-reported outcomes and hospital length of stay: a prospective cohort study of general surgery patients in Vancouver, Canada
No full textSupplemental Material for Relationship between preoperative patient-reported outcomes and hospital length of stay: a prospective cohort study of general surgery patients in Vancouver, Canada by Jason Sutherland, Guiping Liu, Trafford Crump, Matthew Bair and Ahmer Karimuddin in Journal of Health Services Research & Policy</p
Supplemental Material Case mix-based changes in health status: A prospective study of elective surgery patients in Vancouver, Canada
No full textSupplemental Material for Case mix-based changes in health status: A prospective study of elective surgery patients in Vancouver, Canada by Jason M Sutherland, R Trafford Crump, Ahmer A Karimuddin, Guiping Liu, Kevin Wing, Arif Janjua and Kathryn Isaac in Journal of Health Services Research & Policy</p
Ben Crump and Racialized Professionalism
No full text(Excerpt)
Benjamin “Ben” Crump is the country’s most influential civil rights lawyer. His advocacy led to the arrest and prosecution of George Zimmerman. He has represented the families of George Floyd and Breonna Taylor and many others, negotiating record-breaking settlements despite a body of civil rights precedent that is overwhelmingly pro-defendant. Crump is also a modern lawyer who uses press conferences and social media to advance his clients’ cause. To his clients, he is a lawyer, confidante, and friend. Yet, based on the way national media covers him, his significance isn’t always clear. When his work isn’t being erased, it’s downplayed. Articles that compare him to Thurgood Marshall spend an equal amount of time describing his attire.
At George Floyd’s funeral, the Reverend Al Sharpton referred to Crump as “black America’s attorney general, probably because we don’t feel like we have one.” Yet ever since, reporting on Crump omits the second part of Sharpton’s comment, diminishing Sharpton’s point about Crump’s role as public prosecutor on behalf of a community that the federal government arguably does not otherwise does not protect.
Before Ben Crump became the “go-to lawyer” for Black families seeking justice for the murders of their loved ones, before he became a press conference mainstay, he was a Florida-based personal injury lawyer. His national prominence is not the inevitable result of the traditional road to legal stardom, the sort that begins at an Ivy League law school, is followed by a judicial clerkship, and capped off by a coveted position in the Solicitor General’s office. Ben Crump is not that kind of lawyer. He is “a state-college-educated attorney with no establishment connections who has nevertheless become “one of the best-known lawyers in the United States.”
In a country that loves to mythologize rags-to-riches stories, Crump’s rise is fairy tale-worthy. As inspirational as he is to this author, Crump occupies a different place in the American consciousness than the likes of Neal Katyal and Paul Clement, lawyers just as famous but far less scrutinized for their professional choices. When the press reports on Crump, instead of expanding its understanding of what professionalism looks like, it catalogues Crump’s departures from the norm.
This Essay explores how Crump’s professional persona is racialized. It uses Leah Goodridge’s framing of legal professionalism as a racial construct to explore how Crump is unnecessarily othered. Following this Introduction, Part I describes Ben Crump’s professional trajectory, from personal injury lawyer to the lawyer who gets “the call” when a Black person is murdered by the police. Part II then describes how professionalism is constructed in such a way that undermines Crump’s importance. The Essay concludes by describing the consequences of othering and even erasing Ben Crump’s triumphs
Defining minimally important differences for the FACT-E to enhance precision outcomes in esophageal cancer care
No full textThis study defines minimally important differences (MIDs) for the FACT-E using an anchor-based approach with the Edmonton Symptom Assessment System to support more personalized and clinically meaningful interpretation of patient-reported outcomes in esophageal cancer care
The Minimally Important Difference: A Case Study in Esophagectomy
No full textThis keynote presentation explores how the minimally important difference (MID) can improve interpretation of patient-reported outcomes in esophageal cancer surgery, advancing quality-of-life–centered, precision care
A scoping review of the measurement properties of patient-reported outcome measures specific to esophageal cancer
No full textThis study aims to answer the following question: to what extent do the most common patient-reported outcome measures specific to esophageal cancer patients meet the "COnsensus-based Standards for the selection of health status Measurement INstruments"
Measuring the minimally important difference of the Functional Assessment of Cancer Therapy-Esophageal for patients undergoing esophagectomy
No full textThis project aims to calculate the minimal clinically important difference (MCID) for the Functional Assessment of Cancer Therapy-Esophageal (FACT-E) domains among patients undergoing esophagectomy for esophageal cancer and investigates whether MCID varies across sex, age, and treatment subgroups
Evaluating Care Complexity in Inflammatory Arthritis – A Population-Based Approach using CART Analysis to Examine Healthcare Utilization
No full textAutoimmune inflammatory arthritis is one of the most prevalent chronic health conditions in Canada, affecting approximately 3% of the population. Common inflammatory arthritis conditions include rheumatoid arthritis (RA), psoriatic arthritis (PsA), and ankylosing spondylitis (AS). Individuals with inflammatory arthritis often experience high care complexity, characterized by multiple comorbidities, polypharmacy, social factors, and diverse healthcare needs, which can influence patterns of healthcare utilization. The aim of this study is to identify care complexity factors predictive of high healthcare utilization, including physician and emergency department (ED) visits, among adults with inflammatory arthritis in Alberta. We identified individuals diagnosed with RA, PsA, or AS using a validated administrative case definition. Sociodemographic and disease-related factors contributing to care complexity were described for each cohort, including age, sex, place of residence, socioeconomic status (SES), comorbidities, disease type, medication use, and opioid and glucocorticoid dispensations. Classification and regression tree (CART) models were developed to identify combinations of these care complexity characteristics that were predictive of high healthcare utilization. The study included 13,170 individuals. Care complexity varied across disease cohorts: older age, rural residence, multimorbidity, and glucocorticoid use were most common among people with RA; low SES was most prevalent in PsA; and opioid use was highest in AS. Polypharmacy, the presence of anxiety, older age, urban residence, and having PsA were predictive of high physician visits while polypharmacy, rural residence, and having RA or AS were predictive of high ED visits. These findings highlight distinct patterns of healthcare utilization driven by specific care complexity factors, offering insight into patient stratification and potential targets for interventions to optimize care delivery in inflammatory arthritis. However, the models were not fully able to capture or predict all aspects of complexity, underscoring the need for additional data and/or methods to more fully understand care complexity in inflammatory arthritis. Advancing this work could lead to more accurate prediction, better personalized care, and ultimately, improved health outcomes
Comparing Missing Data Imputation Methods for Patient-Reported Outcomes in Esophageal Cancer Research - Digital Health Symposium 2025 Presentation
No full textMissing data is common in patient-reported outcomes (PRO) research, particularly in oncology settings. We evaluated seven methods for handling missing data in esophageal cancer quality of life measurements, namely: Multiple Imputation by Chained Equations (MICE), Variational Autoencoder (VAE), Denoising Autoencoder (DAE), Bayesian Principal Component Analysis (BPCA), a deep autoencoder method with patient-specific embeddings and temporal pattern modeling, SoftImpute (a matrix completion method using iterative soft-thresholded singular value decomposition), and K-Nearest Neighbors (KNN). Using data from McGill University's Esophageal and Gastric Data- and Bio-Bank, we compared these methods across 44 Functional Assessment of Cancer Therapy-Esophageal (FACT-E) quality-of-life variables on execution time, distribution preservation, correlation maintenance, imputation accuracy, and clinical classification performance. Our comprehensive validation framework provides evidence-based recommendations for selecting appropriate imputation methods for esophageal cancer PRO research, which may improve the validity and reliability of research findings in this domain
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