Ayah Nayfeh1, Robert A Fowler1,2,3. 1. Institute of Health Policy, Management and EvaluationUniversity of TorontoToronto, Ontario, Canada. 2. Interdepartmental Division of Critical Care MedicineSunnybrook HospitalToronto, Ontario, Canadaand. 3. University Health NetworkToronto, Ontario, Canada.
Racial and ethnic differences in care delivery and outcomes have
been well documented in health care (1). Even
among critically illpatients with clearly defined indications for care,
multidimensional differences in care exist. Minority patients in North America more
often receive aggressive end-of-life care, are less likely to discontinue mechanical
ventilation or opt for palliative care services, and are more likely to receive care at
the end of life in a hospital (2–4).Indeed, differences exist across the temporal and causal spectra of critical illness.
African Americans have higher rates of acute lung injury and cardiac arrest and nearly
double the rate of sepsis in comparison to nonminorities (5–7). Although
racial/ethnic variations in critical care are well established, one of the fundamental
challenges has been pinpointing where and what differences are
disparities that contribute to differential outcomes of care.
Disparities in healthcare can be described as differences in health status, health
outcomes, and access to care between population groups (8–10). These differences can
be closely intertwined with health inequity, which are often rooted in social injustice
and result from the unjust distribution of economic, social, or environmental
disadvantage of specific population groups (8,
10).We applaud the work of Danziger and colleagues (pp. 681–687) in this issue of
the Journal, which examined temporal trends of improvement in critical
care outcomes in 208 U.S. hospitals (11). This
study used a large and diverse dataset with patient-level data on demographics,
admission diagnoses, and illness severity to adjust mortality rates among patients
presenting to an ICU. Among approximately 1.1 million critically illpatients, almost
one-quarter of African American and one-half of Hispanic patients received critical care
in just one of 14 (7%) predominantly minority hospitals. On average, patients in
minority-serving hospitals had somewhat unique characteristics—they tended to be
younger and had higher severity of illness upon ICU admission. However, even accounting
for many patient-based differences, the authors found that over the past decade,
minority-serving hospitals had significantly less improvement in ICU mortality than
nonminority hospitals and that African American patients appeared worst off, especially
so when treated in minority hospitals. These findings highlight the compounding effect
of both patient-level and hospital-level factors on critical care outcomes.This paper provides evidence that the differential sociogeoeconomic health experience
among minority patients extends even to those with acute critical illness. Many African
Americans and Hispanics are more likely to live close to and come to hospitals, often
urban, that may be disproportionately challenged by funding models and the ability to
recruit and retain healthcare professionals, and therefore unsurprisingly be
characterized by markers of lower-quality health care and outcomes (12, 13).
Indeed, previous studies have shown that the majority of racial/ethnic differences in
critical care delivery and outcomes can be attributed to between-hospital differences
rather than between-patient differences (14).However, it is difficult in observational research to have sufficiently granular data to
fully adjust for known confounding factors that may contribute to healthcare disparities
for minority patients and minority-serving hospitals. Prior conceptual frameworks on
racial/ethnic disparities in critical care have alluded to a range of hospital-,
community-, and patient-level factors that occur along the continuum of acute critical
illness, such as genetic predisposition and chronic conditions; socioeconomic and
insurance status; health literacy; primary and preventative care provision; individual,
cultural, or spiritual-based preferences; and family support structures, among many
others (7, 15–19).Although implementation of the Affordable Care Act has allowed uninsured minorities to
increasingly access and use health services (20), in the “pay for performance” healthcare context, applying
punitive financial measures might have the unintended effect of further exacerbating
racial/ethnic disparities by reducing or shifting resources and limiting access to
preventive, primary, secondary, and tertiary care services for patients of some
hospitals (21). A shift toward alternative
systems such as some form of more universal health coverage might improve access to
health services and reduce national healthcare disparities, without increasing costs
(22).The main message of this study is both plausible and deserving of attention. Whether
these findings reflect socioeconomic barriers to achieving equitable healthcare access,
a more medically disadvantaged population, and/or differences in hospital care and
resource use, cannot be entirely untangled. However, the findings are likely a
reflection of all such factors. Initiatives aimed not only at individuals, but also at
hospitals that disproportionately serve minority and African American populations, are
potential foci to address disparities in health quality, delivery, and outcomes. This is
a promising area for implementation science. In addition to continued attention on
individuals’ prevention and primary care and insurance coverage models, we
targeted initiatives and funding might also be directed toward specific hospitals,
organizations, or care systems at most need, in a staggered or step-wedge manner,
allowing estimation of impact on specific practices, and outcomes over time, across all
targeted hospitals. Minority-serving hospitals face unique challenges, and the high
minority usage of a small number of hospitals underscores the need for additional
support for both patients and the locations where they receive care.
Authors: Paul K Maciejewski; Andrea C Phelps; Elizabeth L Kacel; Tracy A Balboni; Michael Balboni; Alexi A Wright; William Pirl; Holly G Prigerson Journal: Psychooncology Date: 2011-03-29 Impact factor: 3.894
Authors: Andrea C Phelps; Paul K Maciejewski; Matthew Nilsson; Tracy A Balboni; Alexi A Wright; M Elizabeth Paulk; Elizabeth Trice; Deborah Schrag; John R Peteet; Susan D Block; Holly G Prigerson Journal: JAMA Date: 2009-03-18 Impact factor: 56.272
Authors: John Danziger; Miguel Ángel Armengol de la Hoz; Wenyuan Li; Matthieu Komorowski; Rodrigo Octávio Deliberato; Barret N M Rush; Kenneth J Mukamal; Leo Celi; Omar Badawi Journal: Am J Respir Crit Care Med Date: 2020-03-15 Impact factor: 21.405
Authors: Erin Abu-Rish Blakeney; Frances Chu; Andrew A White; G Randy Smith; Kyla Woodward; Danielle C Lavallee; Rachel Marie E Salas; Genevieve Beaird; Mayumi A Willgerodt; Deborah Dang; John M Dent; Elizabeth Ibby Tanner; Nicole Summerside; Brenda K Zierler; Kevin D O'Brien; Bryan J Weiner Journal: J Interprof Care Date: 2021-10-10 Impact factor: 2.338
Authors: Robinder G Khemani; Jessica T Lee; David Wu; Edward J Schenck; Margaret M Hayes; Patricia A Kritek; Gökhan M Mutlu; Hayley B Gershengorn; Rémi Coudroy Journal: Am J Respir Crit Care Med Date: 2021-05-01 Impact factor: 21.405