Literature DB >> 28333761

Race, Ethnicity, Health Insurance, and Mortality in Older Survivors of Critical Illness.

Matthew R Baldwin1, Jessica L Sell, Nina Heyden, Azka Javaid, David A Berlin, Wendy C Gonzalez, Peter B Bach, Mathew S Maurer, Gina S Lovasi, David J Lederer.   

Abstract

OBJECTIVES: To determine whether minority race or ethnicity is associated with mortality and mediated by health insurance coverage among older (≥ 65 yr old) survivors of critical illness.
DESIGN: A retrospective cohort study.
SETTING: Two New York City academic medical centers. PATIENTS: A total of 1,947 consecutive white (1,107), black (361), and Hispanic (479) older adults who had their first medical-ICU admission from 2006 through 2009 and survived to hospital discharge.
INTERVENTIONS: None.
MEASUREMENTS AND MAIN RESULTS: We obtained demographic, insurance, and clinical data from electronic health records, determined each patient's neighborhood-level socioeconomic data from 2010 U.S. Census tract data, and determined death dates using the Social Security Death Index. Subjects had a mean (SD) age of 79 years (8.6 yr) and median (interquartile range) follow-up time of 1.6 years (0.4-3.0 yr). Blacks and Hispanics had similar mortality rates compared with whites (adjusted hazard ratio, 0.92; 95% CI, 0.76-1.11 and adjusted hazard ratio, 0.92; 95% CI, 0.76-1.12, respectively). Compared to those with commercial insurance and Medicare, higher mortality rates were observed for those with Medicare only (adjusted hazard ratio, 1.43; 95% CI, 1.03-1.98) and Medicaid (adjusted hazard ratio, 1.30; 95% CI, 1.10-1.52). Medicaid recipients who were the oldest ICU survivors (> 82 yr), survivors of mechanical ventilation, and discharged to skilled-care facilities had the highest mortality rates (p-for-interaction: 0.08, 0.03, and 0.17, respectively).
CONCLUSIONS: Mortality after critical illness among older adults varies by insurance coverage but not by race or ethnicity. Those with federal or state insurance coverage only had higher mortality rates than those with additional commercial insurance.

Entities:  

Mesh:

Year:  2017        PMID: 28333761      PMCID: PMC5433910          DOI: 10.1097/CCM.0000000000002313

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  31 in total

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Journal:  Crit Care Med       Date:  2011-03       Impact factor: 7.598

2.  Trends in the quality of care and racial disparities in Medicare managed care.

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Journal:  N Engl J Med       Date:  2005-08-18       Impact factor: 91.245

3.  Effect of Medicaid Managed Care on racial disparities in health care access.

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Journal:  Health Serv Res       Date:  2007-02       Impact factor: 3.402

4.  Racial and ethnic differences in receipt of primary care services between medicaid fee-for-service and managed care plans.

Authors:  Hilary K Seligman; Arpita Chattopadhyay; Eric Vittinghoff; Andrew B Bindman
Journal:  J Ambul Care Manage       Date:  2007 Jul-Sep

5.  Disability among elderly survivors of mechanical ventilation.

Authors:  Amber E Barnato; Steven M Albert; Derek C Angus; Judith R Lave; Howard B Degenholtz
Journal:  Am J Respir Crit Care Med       Date:  2010-11-05       Impact factor: 21.405

6.  Fragmentation of care for frequently hospitalized urban residents.

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Journal:  Med Care       Date:  2006-06       Impact factor: 2.983

7.  Explaining racial disparities in incidence of and survival from out-of-hospital cardiac arrest.

Authors:  S Galea; S Blaney; A Nandi; R Silverman; D Vlahov; G Foltin; M Kusick; M Tunik; N Richmond
Journal:  Am J Epidemiol       Date:  2007-06-21       Impact factor: 4.897

8.  Factors Associated with Functional Recovery among Older Intensive Care Unit Survivors.

Authors:  Lauren E Ferrante; Margaret A Pisani; Terrence E Murphy; Evelyne A Gahbauer; Linda S Leo-Summers; Thomas M Gill
Journal:  Am J Respir Crit Care Med       Date:  2016-08-01       Impact factor: 21.405

9.  Nursing home 5-star rating system exacerbates disparities in quality, by payer source.

Authors:  R Tamara Konetzka; David C Grabowski; Marcelo Coca Perraillon; Rachel M Werner
Journal:  Health Aff (Millwood)       Date:  2015-05       Impact factor: 9.048

10.  Estimating long-term survival of critically ill patients: the PREDICT model.

Authors:  Kwok M Ho; Matthew Knuiman; Judith Finn; Steven A Webb
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  7 in total

1.  Health Insurance and Disparities in Mortality among Older Survivors of Critical Illness: A Population Study.

Authors:  Yoland F Philpotts; Xiaoyue Ma; Michaela R Anderson; May Hua; Matthew R Baldwin
Journal:  J Am Geriatr Soc       Date:  2019-08-26       Impact factor: 5.562

2.  Medical resource utilization patterns and mortality rates according to age among critically ill patients admitted to a medical intensive care unit.

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Review 3.  Combining Nonclinical Determinants of Health and Clinical Data for Research and Evaluation: Rapid Review.

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4.  Impact of Socioeconomic Status on 30-Day and 1-Year Mortalities after Intensive Care Unit Admission in South Korea: A Retrospective Cohort Study.

Authors:  Tak Kyu Oh; Jihoon Jo; Young-Tae Jeon; In-Ae Song
Journal:  Acute Crit Care       Date:  2018-11-13

5.  Racial inequities and biopsychosocial indicators in older adults.

Authors:  Alisson Fernandes Bolina; Nayara Gomes Nunes Oliveira; Paulo Henrique Fernandes Dos Santos; Darlene Mara Dos Santos Tavares
Journal:  Rev Lat Am Enfermagem       Date:  2022-03-21

6.  Comparison of Clinical Characteristics and Outcomes of Younger and Elderly Patients with Severe COVID-19 in Korea: A Retrospective Multicenter Study.

Authors:  Gil Myeong Seong; Ae-Rin Baek; Moon Seong Baek; Won-Young Kim; Jin Hyoung Kim; Bo Young Lee; Yong Sub Na; Song-I Lee
Journal:  J Pers Med       Date:  2021-11-29

7.  The effect of socioeconomic status, insurance status, and insurance coverage benefits on mortality in critically ill patients admitted to the intensive care unit.

Authors:  Moo Suk Park
Journal:  Acute Crit Care       Date:  2022-02-28
  7 in total

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