Assessing feasibility and sex-related inequity in the cardiac rehabilitation quality indicators in Manitoba.

The cardiac rehabilitation quality indicators (CRQIs) developed by the Canadian Cardiovascular Society provide a means to standardize program assessment and identify sex-related inequities. No formal evaluation of the CRQIs has been conducted in Manitoba. An environmental scan for the CRQIs was performed using data in the electronic medical record at two cardiac rehabilitation (CR) sites in Winnipeg for 2016-2019 referrals. Of the 8116 referrals, 7758 (5491 males and 2267 females) had geographical access and were eligible for CR. The Manitoba Centre for Health Policy Data Quality Framework informed the data quality assessment. Thirteen CRQIs were available; four were considered high quality; nine demonstrated moderate to significant missing data. In addition to missing values, potential misclassification of risk (CR-4) and physiologically implausible and invalid dates were assessed and identified (CR-13 and CR-17). Each site had a physician medical director (CR-31) and a documented emergency response strategy (CR-32). Only high-quality data were evaluated for sex-related differences using chi-square and median tests. Women had lower enrollment (CR-3), and more women enrolled after the median of 41 days (CR-2b). Engagement with CR partners, including frontline staff, and utilizing strategies to assess and limit physiologically implausible values and dates will enhance data capture and quality.

Accreditation of stroke programs at the MENA + region; between aspiration and reality.

INTRODUCTION: Despite global progress in stroke care, challenges persist, especially in Low- and Middle-Income countries (LMIC). The Middle East and North Africa Stroke and Interventional Neurotherapies Organization (MENA-SINO) Stroke Program Accreditation Initiative aims to improve stroke care regionally. MATERIAL & METHOD: A 2022 survey assessed stroke unit readiness in the Middle East and North Africa (MENA) + region, revealing significant regional disparities in stroke care between high-income and low-income countries. Additionally, it demonstrated interest in the accreditation procedure and suggested that regional stroke program accreditation will improve stroke care for the involved centers. CONCLUSION: An accreditation program that is specifically tailored to the regional needs in the MENA + countries might be the solution. In this brief review, we will discuss potential challenges faced by such a program and we will put forward a well-defined 5-step accreditation process, beginning with a letter of intent, through processing the request and appointment of reviewers, the actual audit, the certification decisions, and culminating in granting a MIENA-SINO tier-specific certificate with recertification every 5 years.

The influence of socioeconomic inequity and guidelines compliance on clinical outcomes of patients with acute biliary pancreatitis. An international multicentric cohort study.

BACKGROUND: There is lack of data on the association between socioeconomic factors, guidelines compliance and clinical outcomes among patients with acute biliary pancreatitis (ABP). METHODS: Post-hoc analysis of the international MANCTRA-1 registry evaluating the impact of regional disparities as indicated by the Human Development Index (HDI), and guideline compliance on ABP clinical outcomes. Multivariable logistic regression models were employed to identify prognostic factors associated with mortality and readmission. RESULTS: Among 5313 individuals from 151 centres across 42 countries marked disparities in comorbid conditions, ABP severity, and medical procedure usage were observed. Patients from lower HDI countries had higher guideline non-compliance (p < 0.001) and mortality (5.0% vs. 3.2%, p = 0.019) in comparison with very high HDI countries. On adjusted analysis, ASA score (OR 1.810, p = 0.037), severe ABP (OR 2.735, p < 0.001), infected necrosis (OR 2.225, p = 0.006), organ failure (OR 4.511, p = 0.001) and guideline non-compliance (OR 2.554, p = 0.002 and OR 2.178, p = 0.015) were associated with increased mortality. HDI was a critical socio-economic factor affecting both mortality (OR 2.452, p = 0.007) and readmission (OR 1.542, p = 0.046). CONCLUSION: These data highlight the importance of collaborative research to characterise challenges and disparities in global ABP management. Less developed regions with lower HDI scores showed lower adherence to clinical guidelines and higher rates of mortality and recurrence.

Framework and Strategies to Eliminate Disparities in Colorectal Cancer Screening Outcomes.

Preventable differences in colorectal cancer (CRC) mortality across racial/ethnic, economic, geographic, and other groups can be eliminated by assuring equitable access and quality across the care continuum, but few interventions have been demonstrated to do so. Multicomponent strategies designed with a health equity framework may be effective. A health equity framework takes into account social determinants of health, multilevel influences (policy, community, delivery, and individual levels), screening processes, and community engagement. Effective strategies for increasing screening uptake include patient navigation and other interventions for structural barriers, reminders and clinical decision support, and data to continuously track metrics and guide targets for improvement. Community resource gaps should be addressed to assure high-quality services irrespective of racial/ethnic and socioeconomic status. One model combinespopulation-based proactive outreach screening with screening delivery at in-person or virtual points of contact, as well as community engagement. Patient- and provider-based behavioral interventions may be considered for increasing screening demand and delivery. Providing a choice of screening tests is recommended for CRC screening, and access to colonoscopy is required for completion of the CRC screening process.

Actionable Solutions to Achieve Health Equity in Chronic Liver Disease.

There are well-described racial and ethnic disparities in the burden of chronic liver diseases. Hispanic persons are at highest risk for developing nonalcoholic fatty liver disease, the fastest growing cause of liver disease. Hepatitis B disproportionately affects persons of Asian or African descent. The highest rates of hepatitis C occur in American Indian and Alaskan Native populations. In addition to disparities in disease burden, there are also marked racial and ethnic disparities in access to treatments, including liver transplantation. Disparities also exist by gender and geography, especially in alcohol-related liver disease. To achieve health equity, we must address the root causes that drive these inequities. Understanding the role that social determinants of health play in the disparate health outcomes that are currently observed is critically important. We must forge and/or strengthen collaborations between patients, community members, other key stakeholders, health care providers, health care institutions, professional societies, and legislative bodies. Herein, we provide a high-level review of current disparities in chronic liver disease and describe actionable strategies that have potential to bridge gaps, improve quality, and promote equity in liver care.

Exploring the complexity and spectrum of racial/ethnic disparities in colon cancer management.

BACKGROUND: Colorectal cancer is a leading cause of morbidity and mortality across U.S. racial/ethnic groups. Existing studies often focus on a particular race/ethnicity or single domain within the care continuum. Granular exploration of disparities among different racial/ethnic groups across the entire colon cancer care continuum is needed. We aimed to characterize differences in colon cancer outcomes by race/ethnicity across each stage of the care continuum. METHODS: We used the 2010-2017 National Cancer Database to examine differences in outcomes by race/ethnicity across six domains: clinical stage at presentation; timing of surgery; access to minimally invasive surgery; post-operative outcomes; utilization of chemotherapy; and cumulative incidence of death. Analysis was via multivariable logistic or median regression, with select demographics, hospital factors, and treatment details as covariates. RESULTS: 326,003 patients (49.6% female, 24.0% non-White, including 12.7% Black, 6.1% Hispanic/Spanish, 1.3% East Asian, 0.9% Southeast Asian, 0.4% South Asian, 0.3% AIAE, and 0.2% NHOPI) met inclusion criteria. Relative to non-Hispanic White patients: Southeast Asian (OR 1.39, p < 0.01), Hispanic/Spanish (OR 1.11 p < 0.01), and Black (OR 1.09, p < 0.01) patients had increased odds of presenting with advanced clinical stage. Southeast Asian (OR 1.37, p < 0.01), East Asian (OR 1.27, p = 0.05), Hispanic/Spanish (OR 1.05 p = 0.02), and Black (OR 1.05, p < 0.01) patients had increased odds of advanced pathologic stage. Black patients had increased odds of experiencing a surgical delay (OR 1.33, p < 0.01); receiving non-robotic surgery (OR 1.12, p < 0.01); having post-surgical complications (OR 1.29, p < 0.01); initiating chemotherapy more than 90 days post-surgery (OR 1.24, p < 0.01); and omitting chemotherapy altogether (OR 1.12, p = 0.05). Black patients had significantly higher cumulative incidence of death at every pathologic stage relative to non-Hispanic White patients when adjusting for non-modifiable patient factors (p < 0.05, all stages), but these differences were no longer statistically significant when also adjusting for modifiable factors such as insurance status and income. CONCLUSIONS: Non-White patients disproportionately experience advanced stage at presentation. Disparities for Black patients are seen across the entire colon cancer care continuum. Targeted interventions may be appropriate for some groups; however, major system-level transformation is needed to address disparities experienced by Black patients.

Disparities in eye clinic patient encounters among patients requiring language interpreter services.

BACKGROUND: Communication barriers are a major cause of health disparities for patients with limited English proficiency (LEP). Medical interpreters play an important role in bridging this gap, however the impact of interpreters on outpatient eye center visits has not been studied. We aimed to evaluate the differences in length of eyecare visits between LEP patients self-identifying as requiring a medical interpreter and English speakers at a tertiary, safety-net hospital in the United States. METHODS: A retrospective review of patient encounter metrics collected by our electronic medical record was conducted for all visits between January 1, 2016 and March 13, 2020. Patient demographics, primary language spoken, self-identified need for interpreter and encounter characteristics including new patient status, patient time waiting for providers and time in room were collected. We compared visit times by patient's self-identification of need for an interpreter, with our main outcomes being time spent with ophthalmic technician, time spent with eyecare provider, and time waiting for eyecare provider. Interpreter services at our hospital are typically remote (via phone or video). RESULTS: A total of 87,157 patient encounters were analyzed, of which 26,443 (30.3%) involved LEP patients identifying as requiring an interpreter. After adjusting for patient age at visit, new patient status, physician status (attending or resident), and repeated patient visits, there was no difference in the length of time spent with technician or physician, or time spent waiting for physician, between English speakers and patients identifying as needing an interpreter. Patients who self-identified as requiring an interpreter were more likely to have an after-visit summary printed for them, and were also more likely to keep their appointment once it was made when compared to English speakers. CONCLUSIONS: Encounters with LEP patients who identify as requiring an interpreter were expected to be longer than those who did not indicate need for an interpreter, however we found that there was no difference in the length of time spent with technician or physician. This suggests providers may adjust their communication strategy during encounters with LEP patients identifying as needing an interpreter. Eyecare providers must be aware of this to prevent negative impacts on patient care. Equally important, healthcare systems should consider ways to prevent unreimbursed extra time from being a financial disincentive for seeing patients who request interpreter services.

Predictive Accuracy of Stroke Risk Prediction Models Across Black and White Race, Sex, and Age Groups.

Importance: Stroke is the fifth-highest cause of death in the US and a leading cause of serious long-term disability with particularly high risk in Black individuals. Quality risk prediction algorithms, free of bias, are key for comprehensive prevention strategies. Objective: To compare the performance of stroke-specific algorithms with pooled cohort equations developed for atherosclerotic cardiovascular disease for the prediction of new-onset stroke across different subgroups (race, sex, and age) and to determine the added value of novel machine learning techniques. Design, Setting, and Participants: Retrospective cohort study on combined and harmonized data from Black and White participants of the Framingham Offspring, Atherosclerosis Risk in Communities (ARIC), Multi-Ethnic Study for Atherosclerosis (MESA), and Reasons for Geographical and Racial Differences in Stroke (REGARDS) studies (1983-2019) conducted in the US. The 62 482 participants included at baseline were at least 45 years of age and free of stroke or transient ischemic attack. Exposures: Published stroke-specific algorithms from Framingham and REGARDS (based on self-reported risk factors) as well as pooled cohort equations for atherosclerotic cardiovascular disease plus 2 newly developed machine learning algorithms. Main Outcomes and Measures: Models were designed to estimate the 10-year risk of new-onset stroke (ischemic or hemorrhagic). Discrimination concordance index (C index) and calibration ratios of expected vs observed event rates were assessed at 10 years. Analyses were conducted by race, sex, and age groups. Results: The combined study sample included 62 482 participants (median age, 61 years, 54% women, and 29% Black individuals). Discrimination C indexes were not significantly different for the 2 stroke-specific models (Framingham stroke, 0.72; 95% CI, 0.72-073; REGARDS self-report, 0.73; 95% CI, 0.72-0.74) vs the pooled cohort equations (0.72; 95% CI, 0.71-0.73): differences 0.01 or less (P values >.05) in the combined sample. Significant differences in discrimination were observed by race: the C indexes were 0.76 for all 3 models in White vs 0.69 in Black women (all P values <.001) and between 0.71 and 0.72 in White men and between 0.64 and 0.66 in Black men (all P values ≤.001). When stratified by age, model discrimination was better for younger (<60 years) vs older (≥60 years) adults for both Black and White individuals. The ratios of observed to expected 10-year stroke rates were closest to 1 for the REGARDS self-report model (1.05; 95% CI, 1.00-1.09) and indicated risk overestimation for Framingham stroke (0.86; 95% CI, 0.82-0.89) and pooled cohort equations (0.74; 95% CI, 0.71-0.77). Performance did not significantly improve when novel machine learning algorithms were applied. Conclusions and Relevance: In this analysis of Black and White individuals without stroke or transient ischemic attack among 4 US cohorts, existing stroke-specific risk prediction models and novel machine learning techniques did not significantly improve discriminative accuracy for new-onset stroke compared with the pooled cohort equations, and the REGARDS self-report model had the best calibration. All algorithms exhibited worse discrimination in Black individuals than in White individuals, indicating the need to expand the pool of risk factors and improve modeling techniques to address observed racial disparities and improve model performance.

Toward an Anti-Racist Approach to Biomedical and Neuroscience Research.

Racism is a threat to public health. Race is a sociopolitical construct that has been used for generations to create disparities in educational access, housing conditions, exposure to environmental contaminants, and access to health care. Collectively, these disparities have a negative impact on the health of non-white Americans. The National Institutes of Health (NIH) funds biomedical research, including basic neuroscience research, aimed at understanding the mechanisms and consequences of health and disease in Americans. NIH has recently acknowledged its own structural racism, the disadvantage this perpetuates in the biomedical research enterprise, and has announced its commitment to eliminating these disparities. Here, we discuss different rates of disease in U.S. citizens from different racial backgrounds. We next describe ways in which the biomedical research enterprise (1) has contributed to health disparities and (2) can contribute to the solving this problem. Based on our own scientific expertise, we use neuroscience in general and mental health/addiction disorders more specifically as examples of a broader issue. The NIH, including its neuroscience-focused Institutes, and NIH-funded scientists, including neuroscientists, should prioritize research topics that reflect the health conditions that affect all Americans, not just white Americans.

Geospatial barriers to healthcare access for breast cancer diagnosis in sub-Saharan African settings: The African Breast Cancer-Disparities in Outcomes Cohort Study.

We examined the geospatial dimension of delays to diagnosis of breast cancer in a prospective study of 1541 women newly diagnosed in the African Breast Cancer-Disparities in Outcomes (ABC-DO) Study. Women were recruited at cancer treatment facilities in Namibia, Nigeria, Uganda and Zambia. The baseline interview included information used to generate the geospatial features: urban/rural residence, travel mode to treatment facility and straight-line distances from home to first-care provider and to diagnostic/treatment facility, categorized into country/ethnicity (population)-specific quartiles. These factors were investigated in relation to delay in diagnosis (≥3 months since first symptom) and late stage at diagnosis (TNM: III, IV) using logistic regression, adjusted for population group and sociodemographic characteristics. The median (interquartile range) distances to first provider and diagnostic and treatment facilities were 5 (1-37), 17 (3-105) and 62 (5-289) km, respectively. The majority had a delay in diagnosis (74%) and diagnosis at late stage (64%). Distance to first provider was not associated with delay in diagnosis or late stage at diagnosis. Rural residence was associated with delay, but the association did not persist after adjustment for sociodemographic characteristics. Distance to the diagnostic/treatment facility was associated with delay (highest vs lowest quartile: odds ratio (OR) = 1.56, 95% confidence interval (CI) = 1.08-2.27) and late stage (overall: OR = 1.47, CI = 1.05-2.06; without Nigerian hospitals where mostly local residents were treated: OR = 1.73, CI = 1.18-2.54). These findings underscore the need for measures addressing the geospatial barriers to early diagnosis in sub-Saharan African settings, including providing transport or travel allowance and decentralizing diagnostic services.

Social determinants of mortality from COVID-19: A simulation study using NHANES.

BACKGROUND: The COVID-19 epidemic in the United States is widespread, with more than 200,000 deaths reported as of September 23, 2020. While ecological studies show higher burdens of COVID-19 mortality in areas with higher rates of poverty, little is known about social determinants of COVID-19 mortality at the individual level. METHODS AND FINDINGS: We estimated the proportions of COVID-19 deaths by age, sex, race/ethnicity, and comorbid conditions using their reported univariate proportions among COVID-19 deaths and correlations among these variables in the general population from the 2017-2018 National Health and Nutrition Examination Survey (NHANES). We used these proportions to randomly sample individuals from NHANES. We analyzed the distributions of COVID-19 deaths by race/ethnicity, income, education level, and veteran status. We analyzed the association of these characteristics with mortality by logistic regression. Summary demographics of deaths include mean age 71.6 years, 45.9% female, and 45.1% non-Hispanic white. We found that disproportionate deaths occurred among individuals with nonwhite race/ethnicity (54.8% of deaths, 95% CI 49.0%-59.6%, p < 0.001), individuals with income below the median (67.5%, 95% CI 63.4%-71.5%, p < 0.001), individuals with less than a high school level of education (25.6%, 95% CI 23.4% -27.9%, p < 0.001), and veterans (19.5%, 95% CI 15.8%-23.4%, p < 0.001). Except for veteran status, these characteristics are significantly associated with COVID-19 mortality in multiple logistic regression. Limitations include the lack of institutionalized people in the sample (e.g., nursing home residents and incarcerated persons), the need to use comorbidity data collected from outside the US, and the assumption of the same correlations among variables for the noninstitutionalized population and COVID-19 decedents. CONCLUSIONS: Substantial inequalities in COVID-19 mortality are likely, with disproportionate burdens falling on those who are of racial/ethnic minorities, are poor, have less education, and are veterans. Healthcare systems must ensure adequate access to these groups. Public health measures should specifically reach these groups, and data on social determinants should be systematically collected from people with COVID-19.

Advancing Action on Health Equity Through a Sociolegal Model of Health.

Policy Points Health actors can use the law more strategically in the pursuit of health and equity by addressing governance challenges (e.g., fragmented and overlapping mandates between health and nonhealth institutions), employing a broader rights-based discourse in the public health policy process, and collaborating with the access to justice movement. Health justice partnerships provide a road map for implementing a sociolegal model of health to reduce health inequities by strengthening legal capacities for health among the health workforce and patients. This in turn will enable them to resolve health issues with legal solutions, to dismantle service silos, and to drive systemic policy and law reform. CONTEXT: In the field of public health, the law and legal systems remain a poorly understood and substantially underutilized tool to address unfair or unjust societal conditions underpinning health inequities. The aim of our article is to demonstrate the value of expanding from a social model of health to a sociolegal model of health and empowering health actors to use the law more strategically in the pursuit of health equity. METHODS: We propose a modified version of the framework for the social determinants of health (SDoH) equity developed by the 2008 World Health Organization Commission on the Social Determinants of Health by conceptually integrating the functions of the law as identified by the 2019 Lancet-O'Neill Institute Commission on Global Health and Law. FINDINGS: Access to justice provides a critical intersection between social models of public health and work in the justice fields. Addressing the inequities produced through the policies and institutions governing society unites the causes of those seeking to enhance access to justice and those seeking to reduce health inequities. Health justice partnerships (HJPs) are an example of a sociolegal model of health in action. Through the resolution of health issues with legal solutions at the individual level, the dismantling of service silos at the institutional level, and policy and law reform at the systemic level, HJPs demonstrate how the law can be used as a tool to reduce social and health inequities. CONCLUSIONS: Greater attention to law as a tool for health creates space for increased collaboration among legal and health scholars, practitioners, and advocates, particularly those working in the areas of the social determinants of health and access to justice, and a promising avenue for reducing health inequities.

Practice variation in the immediate postoperative care of pediatric liver transplant patients: Framework for a national consensus.

Advancements in critical care management have led to improvement in pediatric LT outcomes. However, there are no specific guidelines for many aspects of immediate post-LT care. This survey examines practice variations in the immediate postoperative care of pediatric LT patients at a large number of active US centers. This study is a cross-sectional survey of medical directors at PALISI-affiliated PICU in the United States. Centers performing pediatric LT were analyzed. Study measures included PICU practices regarding staffing, composition of the multidisciplinary team, early post-LT graft and patient monitoring, and anticoagulation. Of the thirty-five responding centers, twenty-five had a LT program which accounted for one-half of all US pediatric LTs. For analysis, centers were categorized by volume: high (7), medium (11), and low (7). The majority of PICU teams included an intensivist (80%) and hepatologist (84%). High-volume centers were less likely to have 24-hour in-house attending coverage (29%, compared to 64% (medium) and 100% (low)). High-volume centers were most likely to have pre-printed orders, but least likely to have written PICU management protocols. Most centers utilize routine daily liver ultrasound. Routine prophylactic anticoagulation, and the agent of choice, was variable. There is marked inconsistency in post-LT practice across PALISI centers in regards to team composition and immediate post-LT management. A national US consensus for post-LT PICU practices would facilitate outcomes research and would establish a platform for multicenter studies.

Racism and Health in the United States: A Policy Statement From the American College of Physicians.

Racial minorities in the United States have reported experiencing widespread racism throughout all aspects of life, from housing to education to employment. Existing research has examined the role of racism, discrimination, and violence in one's interaction with the health care system and their association with poorer mental and physical health. Systemic racism that underlies the fabric of society often manifests itself in prominent institutions, such as law enforcement agencies, regardless of individual intent. Overt and covert racist laws and policies, personal implicit biases, and other factors result in Black individuals and other people of color being the subject of law enforcement violence and criminal justice system interactions at disproportionately high rates. The demonstrated association between discriminatory law enforcement practices and violence and personal and community health necessitates treating these issues as public health issues worthy of a public policy intervention. Addressing some of the sources of institutional racism and harm through transparency and accountability measures is the first of many steps required to begin correcting historical racial injustices.

Nationwide implementation of a decision aid on vaginal birth after cesarean: a before and after cohort study.

OBJECTIVES: Woman with a history of a previous cesarean section (CS) can choose between an elective repeat CS (ERCS) and a trial of labor (TOL), which can end in a vaginal birth after cesarean (VBAC) or an unplanned CS. Guidelines describe women's rights to make an informed decision between an ERCS or a TOL. However, the rates of TOL and vaginal birth after CS varies greatly between and within countries. The objective of this study is to asses nation-wide implementation of counselling with a decision aid (DA) including a prediction model, on intended delivery compared to care as usual. We hypothesize that this may result in a reduction in practice variation without an increase in cesarean rates or complications. METHODS: In a multicenter controlled before and after cohort study we evaluate the effect of nation-wide implementation of a DA. Practice variation was defined as the standard deviation (SD) of TOL percentages. RESULTS: A total of 27 hospitals and 1,364 women were included. A significant decrease was found in practice variation (SD TOL rates: 0.17 control group vs. 0.10 intervention group following decision aid implementation, p=0.011). There was no significant difference in the ERCS rate or overall CS rates. A 21% reduction in the combined maternal and perinatal adverse outcomes was seen. CONCLUSIONS: Nationwide implementation of the DA showed a significant reduction in practice variation without an increase in the rate of cesarean section or complications, suggesting an improvement in equality of care.

Acute Care Reimagined: Home Hospital Care Can Support the Triple Aim and Reduce Health Disparities.

EXECUTIVE SUMMARY: Home hospital care (HHC) is a new and exciting concept that holds the promise of achieving all three components of the Triple Aim and reducing health disparities. As an innovative care delivery model, HHC substitutes traditional inpatient hospital care with hospital care at home for older patients with certain conditions. Studies have shown evidence of reduced cost of care, improved patient satisfaction, and enhanced quality and safety of care for patients treated through this model. The steady growth in Medicare Advantage enrollment and the expansion in 2020 of the Centers for Medicare & Medicaid Services (CMS) Hospitals Without Walls program to include acute hospital care at home creates an opportunity for hospitals to implement such programs and be financially rewarded for reducing costs. Capacity constraints exacerbated by the COVID-19 pandemic suggest that now is the ideal time for healthcare leaders to test and advance the concept of HHC in their communities.

Nurses as agents of disruption: Operationalizing a framework to redress inequities in healthcare access among Indigenous Peoples.

Health equity is a global concern. Although health equity extends far beyond the equitable distribution of healthcare, equitable access to healthcare is essential to the achievement of health equity. In Canada, Indigenous Peoples experience inequities in health and healthcare access. Cultural safety and trauma- and violence-informed care have been proposed as models of care to improve healthcare access, yet practitioners lack guidance on how to implement these models. In this paper, we build upon an existing framework of equity-oriented care for primary healthcare settings by proposing strategies to guide nurses in operationalizing cultural safety and trauma- and violence-informed care into nursing practice at the individual level. This component is one strategy to redress inequitable access to care among Indigenous Peoples in Canada. We conceptualize barriers to accessing healthcare as intrapersonal, interpersonal, and structural. We then define three domains for nursing action: practicing reflexivity, prioritizing relationships, and considering the context. We have applied this expanded framework within the context of Indigenous Peoples in Canada as a way of illustrating specific concepts and focusing our argument; however, this framework is relevant to other groups experiencing marginalizing conditions and inequitable access to healthcare, and thus is applicable to many areas of nursing practice.

When Healthcare Isn't Enough: A Christian Response to Social Determinants of Health.

Education, employment, housing, neighborhood safety, and traumatic life experiences influence people's health, and poor health as a result of inequities in these areas cannot be remedied by medical care alone. Although social determinants of health threaten the attainment of a healthy life for people across North America, nurses are positioned to be leaders in a movement toward health equity. Nurses can follow the example of Jesus in loving their neighbors as themselves by addressing the social needs of patients, championing health system change, educating their communities, and advocating for Health in All Policies.

Low participation rates and disparities in participation in interventional clinical trials for myelodysplastic syndromes.

BACKGROUND: The development of novel therapies for the myelodysplastic syndromes (MDS) is hampered by inadequate trial recruitment. Factors contributing to low trial accrual are incompletely understood. METHODS: This study analyzed a pooled patient database from institutions of the US MDS Clinical Research Consortium to compare the characteristics of participants in interventional trials with those of patients who did not enroll in a trial. RESULTS: Data were identified for 1919 patients with MDS, and 449 of these patients (23%) participated in an interventional clinical trial. The median age of all patients was 68 years, and 64% were male. Patients who participated in trials were significantly younger than nonparticipants (P = .014), and men were more likely to participate in a trial (71% of trial participants were male, whereas 61% of nonparticipants were; P < .001). Race and ethnicity were not associated with trial enrollment. Patients in more affluent ZIP codes had a higher participation rate (P < .001). Patients with intermediate- and high-risk disease according to the revised International Prognostic Scoring System were overrepresented (P = .004), and trial participants less frequently had treatment-related disease (P < .001). In multivariable analyses, participation in a clinical trial was associated with a reduced hazard of death (P = .004). Even at large referral centers, only a minority of patients with MDS enrolled in interventional trials. CONCLUSIONS: Restrictive trial eligibility criteria that exclude patients with MDS on account of age, comorbidities, or a history of another cancer are limit enrollment of MDS patients to clinical trials. Gaining insight into the barriers to trial accrual may help investigators and study sponsors to design trials that will accrue more rapidly and augment treatment options for patients with MDS.

Unplanned Hospital Encounters After Endoscopic Retrograde Cholangiopancreatography in 3 Large North American States.

BACKGROUND & AIMS: We have few population-level data on the performance of endoscopic retrograde cholangiopancreatography (ERCP) in the United States. We investigated the numbers of unplanned hospital encounters (UHEs), patient and facility factors associated with UHEs, and variation in quality and outcomes in the performance of ERCP in 3 large American states. METHODS: We collected data on 68,642 ERCPs, performed at 635 facilities in California, Florida, and New York from 2009 through 2014. The primary endpoint was number of UHEs with an ERCP-related event within 7 days of ERCP; secondary endpoints included number of UHEs within 30 days and mortality within 30 days. Each facility was assigned a risk-standardized cohort, and variations in number of UHEs were analyzed with multivariable analysis. RESULTS: Among all ERCPs, 5.8% resulted in a UHE within 7 days and 10.2% within 30 days. Performance of sphincterotomy was significantly associated with a higher risk of UHE at 7 and 30 days (P < .001). Younger age, female sex, and more advanced comorbidity were associated with UHE. There was substantial heterogeneity in rates of UHE among facilities: 4.2% at facilities in the 5th percentile and 25.2% at facilities in the 95th percentile. Increasing facility volume and ability to perform endoscopic ultrasonography were associated inversely with risk. The median number of ERCPs performed each year was 68.7, but 69% of facilities performed 100 or fewer ERCPs per year. Risk for UHE after sphincterotomy decreased with increasing facility volume until an inflection point of 157 ERCPs per year was reached. CONCLUSIONS: In an analysis of outcomes of 68,642 ERCPs performed in 3 states, we found a higher-than-expected number of UHEs. There is substantial unexplained variation in risk for adverse events after ERCPs among facilities, and volume is the strongest predictor of risk. Annual facility volumes above approximately 150 ERCPs per year may protect against UHE.