Literature DB >> 32011903

Understanding Patient- and Hospital-Level Factors Leading to Differences, and Disparities, in Critical Care.

Ayah Nayfeh1, Robert A Fowler1,2,3.   

Abstract

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Year:  2020        PMID: 32011903      PMCID: PMC7068824          DOI: 10.1164/rccm.202001-0116ED

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


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Racial and ethnic differences in care delivery and outcomes have been well documented in health care (1). Even among critically ill patients 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 ill patients, 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.
  18 in total

1.  Racial disparities in medical care.

Authors:  A M Epstein; J Z Ayanian
Journal:  N Engl J Med       Date:  2001-05-10       Impact factor: 91.245

2.  Occurrence and outcomes of sepsis: influence of race.

Authors:  Viktor Y Dombrovskiy; Andrew A Martin; Jagadeeshan Sunderram; Harold L Paz
Journal:  Crit Care Med       Date:  2007-03       Impact factor: 7.598

3.  Interventions to reduce racial and ethnic disparities in health care.

Authors:  Marshall H Chin; Amy E Walters; Scott C Cook; Elbert S Huang
Journal:  Med Care Res Rev       Date:  2007-10       Impact factor: 3.929

4.  When does a difference become a disparity? Conceptualizing racial and ethnic disparities in health.

Authors:  Paul L Hebert; Jane E Sisk; Elizabeth A Howell
Journal:  Health Aff (Millwood)       Date:  2008 Mar-Apr       Impact factor: 6.301

5.  Racial disparities in the quality of care for enrollees in medicare managed care.

Authors:  Eric C Schneider; Alan M Zaslavsky; Arnold M Epstein
Journal:  JAMA       Date:  2002-03-13       Impact factor: 56.272

6.  Religious coping and behavioral disengagement: opposing influences on advance care planning and receipt of intensive care near death.

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

7.  The epidemiology of sepsis in the United States from 1979 through 2000.

Authors:  Greg S Martin; David M Mannino; Stephanie Eaton; Marc Moss
Journal:  N Engl J Med       Date:  2003-04-17       Impact factor: 91.245

8.  The role of health insurance coverage in reducing racial/ethnic disparities in health care.

Authors:  Marsha Lillie-Blanton; Catherine Hoffman
Journal:  Health Aff (Millwood)       Date:  2005 Mar-Apr       Impact factor: 6.301

9.  Religious coping and use of intensive life-prolonging care near death in patients with advanced cancer.

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

10.  Temporal Trends in Critical Care Outcomes in U.S. Minority-Serving Hospitals.

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

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1.  A scoping review of new implementations of interprofessional bedside rounding models to improve teamwork, care, and outcomes in hospitals.

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

Review 2.  Update in Critical Care 2020.

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

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