Critical care clinics
-
Critical care clinics · Oct 2024
ReviewAssessing Social Determinants of Health During Critical Illness: Implications and Methodologies.
A growing body of literature has identified social determinants of health (SDoH) as potential contributors to health disparities in pediatric critical illness. Pediatric critical care providers should use validated screening tools to identify unmet social needs and ensure appropriate referral through multisector partnerships. Pediatric critical care researchers should consider factors outside of race and insurance status and explore the association between neighborhood-level factors and disparate health outcomes during critical illness. Measuring and addressing the SDoH at the individual and neighborhood level are important next steps in mitigating health disparities for critically ill pediatric patients.
-
Critical care clinics · Oct 2024
ReviewSocial Disparities and Critical Illness during the Coronavirus Disease 2019 Pandemic: A Narrative Review.
The coronavirus disease 2019 (COVID-19) pandemic raised new considerations for social disparities in critical illness including hospital capacity and access to personal protective equipment, access to evolving therapies, vaccinations, virtual care, and restrictions on family visitation. This narrative review aims to explore evidence about racial/ethnic and socioeconomic differences in critical illness during the COVID-19 pandemic, factors driving those differences and promising solutions for mitigating inequities in the future. We apply a patient journey framework to identify social disparities at various stages before, during, and after patient interactions with critical care services and discuss recommendations for policy and practice.
-
Critical care clinics · Oct 2024
ReviewRacial, Ethnic, and Socioeconomic Differences in Critical Care Near the End of Life: A Narrative Review.
Patients from groups that are racially/ethnically minoritized or of low socioeconomic status receive more intensive care near the end of life, endorse preferences for more life-sustaining treatments, experience lower quality communication from clinicians, and report worse quality of dying than other patients. There are many contributory factors, including system (eg, lack of intensive outpatient symptom management resources), clinician (eg, low-quality serious illness communication), and patient (eg, cultural norms) factors. System and clinician factors contribute to disparities and ought to be remedied, while patient factors simply reflect differences in care and may not be appropriate targets for intervention.
-
Critical care clinics · Oct 2024
ReviewA Clinician's Guide to Understanding Bias in Critical Clinical Prediction Models.
This narrative review focuses on the role of clinical prediction models in supporting informed decision-making in critical care, emphasizing their 2 forms: traditional scores and artificial intelligence (AI)-based models. Acknowledging the potential for both types to embed biases, the authors underscore the importance of critical appraisal to increase our trust in models. The authors outline recommendations and critical care examples to manage risk of bias in AI models. The authors advocate for enhanced interdisciplinary training for clinicians, who are encouraged to explore various resources (books, journals, news Web sites, and social media) and events (Datathons) to deepen their understanding of risk of bias.
-
Critical care clinics · Oct 2024
ReviewRace, Ethnicity, and Gender Disparities in Acute Myocardial Infarction.
Cardiovascular disease continues to be the leading cause of morbidity and mortality in the United States. Despite advancements in medical care, there remain persistent racial, ethnic, and gender disparity in the diagnosis, treatment, and prognosis of individuals with cardiovascular disease. In this review we seek to discuss differences in pathophysiology, clinical course, and risk profiles in the management and outcomes of acute myocardial infarction and related high-risk states. We also seek to highlight the demographic and psychosocial inequities that cause disparities in acute cardiovascular care.