Browsing by Author "Ruzycki, Shannon M."

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    A logic framework for addressing medical racism in academic medicine: an analysis of qualitative data
    (2024-04-15) Roach, Pamela; Ruzycki, Shannon M.; Lithgow, Kirstie C.; McFadden, Chanda R.; Chikwanha, Adrian; Holroyd-Leduc, Jayna; Barnabe, Cheryl
    Abstract Background Despite decades of anti-racism and equity, diversity, and inclusion (EDI) interventions in academic medicine, medical racism continues to harm patients and healthcare providers. We sought to deeply explore experiences and beliefs about medical racism among academic clinicians to understand the drivers of persistent medical racism and to inform intervention design. Methods We interviewed academically-affiliated clinicians with any racial identity from the Departments of Family Medicine, Cardiac Sciences, Emergency Medicine, and Medicine to understand their experiences and perceptions of medical racism. We performed thematic content analysis of semi-structured interview data to understand the barriers and facilitators of ongoing medical racism. Based on participant narratives, we developed a logic framework that demonstrates the necessary steps in the process of addressing racism using if/then logic. This framework was then applied to all narratives and the barriers to addressing medical racism were aligned with each step in the logic framework. Proposed interventions, as suggested by participants or study team members and/or identified in the literature, were matched to these identified barriers to addressing racism. Results Participant narratives of their experiences of medical racism demonstrated multiple barriers to addressing racism, such as a perceived lack of empathy from white colleagues. Few potential facilitators to addressing racism were also identified, including shared language to understand racism. The logic framework suggested that addressing racism requires individuals to understand, recognize, name, and confront medical racism. Conclusions Organizations can use this logic framework to understand their local context and select targeted anti-racism or EDI interventions. Theory-informed approaches to medical racism may be more effective than interventions that do not address local barriers or facilitators for persistent medical racism.
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    Anti-Indigenous bias of medical school applicants: a cross-sectional study
    (2022-09-19) Roach, Pamela; Hernandez, Santanna; Carbert, Amanda; Jalil, Rabiya; Panaccione, Remo; Ruzycki, Shannon M.
    Abstract Background Structural and interpersonal anti-Indigenous racism is prevalent in Canadian healthcare. The Truth and Reconciliation Commission calls on medical schools to address anti-Indigenous bias in students. We measured the prevalence of interpersonal anti-Indigenous bias among medical school applicants to understand how the medical school selection process selects for or against students with high levels of bias. Methods All applicants to a single university in the 2020–2021 admissions cycle were invited to participate. Explicit anti-Indigenous bias was measured using two sliding scale thermometers. The first asked how participants felt about Indigenous people (from 0, indicating ‘cold/unfavourable’ to 100, indicating ‘warm/favourable’) and the second asked whether participants preferred white (scored 100) or Indigenous people (scored 0). Participants then completed an implicit association test examining preferences for European or Indigenous faces (negative time latencies suggest preference for European faces). Explicit and implicit anti-Indigenous biases were compared by applicant demographics (including gender and racial identity), application status (offered an interview, offered admission, accepted a position), and compared to undergraduate medical and mathematics students. Results There were 595 applicant respondents (32.4% response rate, 64.2% cisgender women, 55.3% white). Applicants felt warmly toward Indigenous people (median 96 (IQR 80–100)), had no explicit preference for white or Indigenous people (median 50 (IQR 37–55), and had mild implicit preference for European faces (− 0.22 ms (IQR -0.54, 0.08 ms)). There were demographic differences associated with measures of explicit and implicit bias. Applicants who were offered admission had warmer feelings toward Indigenous people and greater preference for Indigenous people compared to those were not successful. Conclusions Medical school applicants did not have strong interpersonal explicit and implicit anti-Indigenous biases. Outlier participants with strong biases were not offered interviews or admission to medical school.
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    Barriers and facilitators of following perioperative internal medicine recommendations by surgical teams: a sequential, explanatory mixed-methods study
    (2022-02-01) Flemons, Kristin; Bosch, Michael; Coakeley, Sarah; Muzammal, Bushra; Kachra, Rahim; Ruzycki, Shannon M.
    Abstract Background Preoperative medical consultations add expense and burden for patients and the impact of these consults on patient outcomes is conflicting. Previous work suggests that 10–40% of preoperative medical consult recommendations are not followed. This limits measurement of the effect of perioperative medical consultation on patient outcomes and represents a quality gap, given the patient time and healthcare cost associated with consultation. We aimed to measure, characterize, and understand reasons for missed recommendations from preoperative medical consultation. Methods This explanatory, sequential mixed-methods study used chart audits followed by semi-structured interviews. Chart audit of consecutive patients seen in preoperative medical clinic were reviewed to measure the proportion and characterize the type of recommendations that were not completed (“missed”). This phase informed the interview participants and questions. The interview guide was developed using the Consolidated Framework for Implementation Research and the Theoretical Domains Framework. Template analysis was used to understand drivers and barriers of missed recommendations Results Chart audit included 255 patients (n=161, 63.1% female) seen in preadmission clinic between April 1 and April 30, 2019. 55.7% of patients had all recommendations followed (n=142). Postoperative anticoagulation management and postoperative cardiac biomarker surveillance recommendations were least commonly followed (50.0%, n=28, and 68.9%, n=82, respectively). Eighteen surgical team members were interviewed. Missed recommendations were both unintentional and intentional, and the key drivers differed by these categories. Unintentionally missed recommendations occurred due to individual-level factors (drivers: knowledge of the consultation note, lack of routine for reviewing the consultation note, and competing demands on time) and systems-level factors (driver: lack of role clarity). Intentionally missed recommendations occurred due to user error due (drivers: lack of knowledge of guidelines or evidence) and appropriate modifications (driver: need to adapt a preoperative plan for a complicated postoperative course). Conclusions Only 55.7% of consult notes had all recommendations followed, suggesting a quality gap in perioperative medical care. Qualitative data suggests multiple drivers of missed recommendations that should be targeted to improve the efficiency of care for these patients.
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    Beyond guideline knowledge: a theory-based qualitative study of low-value preoperative testing
    (2023-03-02) Jasaui, Yamile; Mortazhejri, Sameh; Dowling, Shawn; Duquette, D’Arcy; L’Heureux, Geralyn; Linklater, Stefanie; Mrklas, Kelly J.; Wilkinson, Gloria; Beesoon, Sanjay; Patey, Andrea M.; Ruzycki, Shannon M.; Grimshaw, Jeremy M.
    Abstract Background Choosing Wisely Canada and most major anesthesia and preoperative guidelines recommend against obtaining preoperative tests before low-risk procedures. However, these recommendations alone have not reduced low-value test ordering. In this study, the theoretical domains framework (TDF) was used to understand the drivers of preoperative electrocardiogram (ECG) and chest X-ray (CXR) ordering for patients undergoing low-risk surgery (‘low-value preoperative testing’) among anesthesiologists, internal medicine specialists, nurses, and surgeons. Methods Using snowball sampling, preoperative clinicians working in a single health system in Canada were recruited for semi-structured interviews about low-value preoperative testing. The interview guide was developed using the TDF to identify the factors that influence preoperative ECG and CXR ordering. Interview content was deductively coded using TDF domains and specific beliefs were identified by grouping similar utterances. Domain relevance was established based on belief statement frequency, presence of conflicting beliefs, and perceived influence over preoperative test ordering practices. Results Sixteen clinicians (7 anesthesiologists, 4 internists, 1 nurse, and 4 surgeons) participated. Eight of the 12 TDF domains were identified as the drivers of preoperative test ordering. While most participants agreed that the guidelines were helpful, they also expressed distrust in the evidence behind them (knowledge). Both a lack of clarity about the responsibilities of the specialties involved in the preoperative process and the ease by which any clinician could order, but not cancel tests, were drivers of low-value preoperative test ordering (social/professional role and identity, social influences, belief about capabilities). Additionally, low-value tests could also be ordered by nurses or the surgeon and may be completed before the anesthesia or internal medicine preoperative assessment appointment (environmental context and resources, beliefs about capabilities). Finally, while participants agreed that they did not intend to routinely order low-value tests and understood that these would not benefit patient outcomes, they also reported ordering tests to prevent surgery cancellations and problems during surgery (motivation and goals, beliefs about consequences, social influences). Conclusions We identified key factors that anesthesiologists, internists, nurses, and surgeons believe influence preoperative test ordering for patients undergoing low-risk surgeries. These beliefs highlight the need to shift away from knowledge-based interventions and focus instead on understanding local drivers of behaviour and target change at the individual, team, and institutional levels.
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    Mortality and cardiovascular events in adults with kidney failure after major non-cardiac surgery: a population-based cohort study
    (2021-11-04) Harrison, Tyrone G.; Ronksley, Paul E.; James, Matthew T.; Ruzycki, Shannon M.; Tonelli, Marcello; Manns, Braden J.; Zarnke, Kelly B.; McCaughey, Deirdre; Schneider, Prism; Wick, James; Hemmelgarn, Brenda R.
    Abstract Background People with kidney failure have a high incidence of major surgery, though the risk of perioperative outcomes at a population-level is unknown. Our objective was to estimate the proportion of people with kidney failure that experience acute myocardial infarction (AMI) or death within 30 days of major non-cardiac surgery, based on surgery type. Methods In this retrospective population-based cohort study, we used administrative health data to identify adults from Alberta, Canada with major surgery between April 12,005 and February 282,017 that had preoperative estimated glomerular filtration rates (eGFRs) < 15 mL/min/1.73m2 or received chronic dialysis. The index surgical procedure for each participant was categorized within one of fourteen surgical groupings based on Canadian Classification of Health Interventions (CCI) codes applied to hospitalization administrative datasets. We estimated the proportion of people that had AMI or died within 30 days of the index surgical procedure (with 95% confidence intervals [CIs]) following logistic regression, stratified by surgery type. Results Overall, 3398 people had a major surgery (1905 hemodialysis; 590 peritoneal dialysis; 903 non-dialysis). Participants were more likely male (61.0%) with a median age of 61.5 years (IQR 50.0–72.7). Within 30 days of surgery, 272 people (8.0%) had an AMI or died. The probability was lowest following ophthalmologic surgery at 1.9% (95%CI: 0.5, 7.3) and kidney transplantation at 2.1% (95%CI: 1.3, 3.2). Several types of surgery were associated with greater than one in ten risk of AMI or death, including retroperitoneal (10.0% [95%CI: 2.5, 32.4]), intra-abdominal (11.7% [8.7, 15.5]), skin and soft tissue (12.1% [7.4, 19.1]), musculoskeletal (MSK) (12.3% [9.9, 15.5]), vascular (12.6% [10.2, 15.4]), anorectal (14.7% [6.3, 30.8]), and neurosurgical procedures (38.1% [20.3, 59.8]). Urgent or emergent procedures had the highest risk, with 12.1% experiencing AMI or death (95%CI: 10.7, 13.6) compared with 2.6% (1.9, 3.5) following elective surgery. Conclusions After major non-cardiac surgery, the risk of death or AMI for people with kidney failure varies significantly based on surgery type. This study informs our understanding of surgery type and risk for people with kidney failure. Future research should focus on identifying high risk patients and strategies to reduce these risks.
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    Prediction of major postoperative events after non-cardiac surgery for people with kidney failure: derivation and internal validation of risk models
    (2023-03-10) Harrison, Tyrone G.; Hemmelgarn, Brenda R.; James, Matthew T.; Sawhney, Simon; Manns, Braden J.; Tonelli, Marcello; Ruzycki, Shannon M.; Zarnke, Kelly B.; Wilson, Todd A.; McCaughey, Deirdre; Ronksley, Paul E.
    Abstract Background People with kidney failure often require surgery and experience worse postoperative outcomes compared to the general population, but existing risk prediction tools have excluded those with kidney failure during development or exhibit poor performance. Our objective was to derive, internally validate, and estimate the clinical utility of risk prediction models for people with kidney failure undergoing non-cardiac surgery. Design, setting, participants, and measures This study involved derivation and internal validation of prognostic risk prediction models using a retrospective, population-based cohort. We identified adults from Alberta, Canada with pre-existing kidney failure (estimated glomerular filtration rate [eGFR] < 15 mL/min/1.73m2 or receipt of maintenance dialysis) undergoing non-cardiac surgery between 2005–2019. Three nested prognostic risk prediction models were assembled using clinical and logistical rationale. Model 1 included age, sex, dialysis modality, surgery type and setting. Model 2 added comorbidities, and Model 3 added preoperative hemoglobin and albumin. Death or major cardiac events (acute myocardial infarction or nonfatal ventricular arrhythmia) within 30 days after surgery were modelled using logistic regression models. Results The development cohort included 38,541 surgeries, with 1,204 outcomes (after 3.1% of surgeries); 61% were performed in males, the median age was 64 years (interquartile range [IQR]: 53, 73), and 61% were receiving hemodialysis at the time of surgery. All three internally validated models performed well, with c-statistics ranging from 0.783 (95% Confidence Interval [CI]: 0.770, 0.797) for Model 1 to 0.818 (95%CI: 0.803, 0.826) for Model 3. Calibration slopes and intercepts were excellent for all models, though Models 2 and 3 demonstrated improvement in net reclassification. Decision curve analysis estimated that use of any model to guide perioperative interventions such as cardiac monitoring would result in potential net benefit over default strategies. Conclusions We developed and internally validated three novel models to predict major clinical events for people with kidney failure having surgery. Models including comorbidities and laboratory variables showed improved accuracy of risk stratification and provided the greatest potential net benefit for guiding perioperative decisions. Once externally validated, these models may inform perioperative shared decision making and risk-guided strategies for this population.
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    The directors of resident support program: a program evaluation of a resident well-being and support innovation
    (2024-10-17) Ruzycki, Shannon M.; des Ordons, Amanda R.; Davis, Melinda; Steele, J. M.; Tutu, Kannin O.; Welikovitch, Lisa
    Abstract Background Medical training can be a challenging time for residents both professionally and personally. Resident support programs must be able to address a range of potential experiences, be accessible and easy to navigate, and consider the unique context of residency. Rigorous evaluation of resident support programs is needed to determine whether these programs are meeting these goals. Methods The Directors of Resident Support (DRS) program, launched in January 2021 at the Cumming School of Medicine at the University of Calgary, is a near-peer support model consisting of three faculty physicians, trained in peer support, who receive contacts from residents needing support for any issue. DRS physicians provide empathetic listening, referral to existing resources, and peer support for residents. A multisource evaluation of the DRS program, including field notes, data collection forms, and surveys, was guided by the Donabedian framework. Results There were 62 total contacts in the 2-year evaluation period which required a median 2 h to address (range 5 min to more than 40 h). The most common topic for contact was to discuss feedback or evaluation (n = 10, 24.4%) and the most common response was listening and support (n = 29, 70.7%). Residents also contacted DRS to discuss experiences of racism, physical assault, sexual harassment, and mental health crises. Residents (n = 13) rated a median score of 74 out of possible 100 for usefulness (interquartile range [IQR] 1-100, with higher scores suggesting greater usefulness). Free text survey responses suggested that residents felt validated by contact with the program though some residents felt that additional follow-up would have been helpful. Conclusion The DRS program has been well-utilized by residents for a variety of issues. Postgraduate Medical Education offices seeking to create resident support programs may anticipate that about 3% of residents may use a similar program per year and that the typical interaction would last 2 h, with a wide range. Feedback suggested that similar programs should have a formal process for follow-up with residents to ensure their concern was addressed and that resident supporters should have diverse lived experiences.