Literature DB >> 32583721

An Innovative Individual-Level Socioeconomic Measure Predicts Critical Care Outcomes in Older Adults: A Population-Based Study.

Amelia Barwise1, Chung-Il Wi2,3,4, Ryan Frank5, Bojana Milekic6, Nicole Andrijasevic7, Naresh Veerabattini8, Sidhant Singh9, Michael E Wilson1, Ognjen Gajic1, Young J Juhn2,3,4.   

Abstract

BACKGROUND: Little is known about the impact of socioeconomic status (SES) as a key element of social determinants of health on intensive care unit (ICU) outcomes for adults.
OBJECTIVE: We assessed whether a validated individual SES index termed HOUSES (HOUsing-based SocioEconomic status index) derived from housing features was associated with short-term outcomes of critical illness including ICU mortality, ICU-free days, hospital-free days, and ICU readmission.
METHODS: We performed a population-based cohort study of adult patients living in Olmsted County, Minnesota, admitted to 7 intensive care units at Mayo Clinic from 2011 to 2014. We compared outcomes between the lowest SES group (HOUSES quartile 1 [Q1]) and the higher SES group (HOUSES Q2-4). We stratified the cohort based on age (<50 years old and ≥50 years old).
RESULTS: Among 4134 eligible patients, 3378 (82%) patients had SES successfully measured by the HOUSES index. Baseline characteristics, severity of illness, and reason for ICU admission were similar among the different SES groups as measured by HOUSES except for larger number of intoxications and overdoses in younger patients from the lowest SES. In all adult patients, there were no overall differences in mortality, ICU-free days, hospital-free days, or ICU readmissions in patients with higher SES compared to lower SES. Among older patients (>50 years), those with higher SES (HOUSES Q2-4) compared to those with lower SES (HOUSES Q1) had lower mortality rates (hazard ratio = 0.72; 95% CI: 0.56-0.93; adjusted P = .01), increased ICU-free days (mean 1.08 days; 95% CI: 0.34-1.84; adjusted P = .004), and increased hospital-free days (mean 1.20 days; 95% CI: 0.45-1.96; adjusted P = .002). There were no differences in ICU readmission rates (OR = 0.74; 95% CI: 0.55-1.00; P = .051).
CONCLUSION: Individual-level SES may be an important determinant or predictor of critical care outcomes in older adults. Housing-based socioeconomic status may be a useful tool for enhancing critical care research and practice.

Entities:  

Keywords:  ICU outcomes; Socioeconomic status; critical care; critical illness; length of stay; social determinants of health

Mesh:

Year:  2020        PMID: 32583721      PMCID: PMC7759584          DOI: 10.1177/0885066620931020

Source DB:  PubMed          Journal:  J Intensive Care Med        ISSN: 0885-0666            Impact factor:   3.510


  63 in total

Review 1.  Critical Care Beds and Resource Utilization: Current Trends and Controversies.

Authors:  Nicholas S Ward; David H Chong
Journal:  Semin Respir Crit Care Med       Date:  2015-11-23       Impact factor: 3.119

2.  Treatment intensity and outcome of patients aged 80 and older in intensive care units: a multicenter matched-cohort study.

Authors:  Ariane Boumendil; Philippe Aegerter; Bertrand Guidet
Journal:  J Am Geriatr Soc       Date:  2005-01       Impact factor: 5.562

3.  Hospital-Level Changes in Adult ICU Bed Supply in the United States.

Authors:  David J Wallace; Christopher W Seymour; Jeremy M Kahn
Journal:  Crit Care Med       Date:  2017-01       Impact factor: 7.598

4.  Comparison of individual-level versus area-level socioeconomic measures in assessing health outcomes of children in Olmsted County, Minnesota.

Authors:  Maria R Pardo-Crespo; Nirmala Priya Narla; Arthur R Williams; Timothy J Beebe; Jeff Sloan; Barbara P Yawn; Philip H Wheeler; Young J Juhn
Journal:  J Epidemiol Community Health       Date:  2013-01-15       Impact factor: 3.710

Review 5.  Critical Care Medicine Beds, Use, Occupancy, and Costs in the United States: A Methodological Review.

Authors:  Neil A Halpern; Stephen M Pastores
Journal:  Crit Care Med       Date:  2015-11       Impact factor: 7.598

6.  Relationship between patient race and survival following admission to intensive care among patients of primary care physicians.

Authors:  R D Horner; F H Lawler; B L Hainer
Journal:  Health Serv Res       Date:  1991-10       Impact factor: 3.402

7.  Role of individual-housing-based socioeconomic status measure in relation to smoking status among late adolescents with asthma.

Authors:  Chung-Il Wi; Joshua Gauger; Maria Bachman; Jennifer Rand-Weaver; Elizabeth Krusemark; Euijung Ryu; Katherine S King; Slavica K Katusic; Young J Juhn
Journal:  Ann Epidemiol       Date:  2016-05-11       Impact factor: 3.797

8.  A novel housing-based socioeconomic measure predicts hospitalisation and multiple chronic conditions in a community population.

Authors:  Paul Y Takahashi; Euijung Ryu; Matthew A Hathcock; Janet E Olson; Suzette J Bielinski; James R Cerhan; Jennifer Rand-Weaver; Young J Juhn
Journal:  J Epidemiol Community Health       Date:  2015-10-12       Impact factor: 3.710

9.  Risk of Death Influences Regional Variation in Intensive Care Unit Admission Rates among the Elderly in the United States.

Authors:  Colin R Cooke
Journal:  PLoS One       Date:  2016-11-29       Impact factor: 3.240

10.  Application of a novel socioeconomic measure using individual housing data in asthma research: an exploratory study.

Authors:  Malinda N Harris; Matthew C Lundien; Dawn M Finnie; Arthur R Williams; Timothy J Beebe; Jeffrey A Sloan; Barbara P Yawn; Young J Juhn
Journal:  NPJ Prim Care Respir Med       Date:  2014-06-26       Impact factor: 2.871

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  4 in total

1.  Role of geographic risk factors and social determinants of health in COVID-19 epidemiology: Longitudinal geospatial analysis in a midwest rural region.

Authors:  Philip H Wheeler; Christi A Patten; Chung-Il Wi; Joshua T Bublitz; Euijung Ryu; Elizabeth H Ristagno; Young J Juhn
Journal:  J Clin Transl Sci       Date:  2021-12-27

2.  Neighborhood Socioeconomic Disadvantage and Disability After Critical Illness.

Authors:  Jason R Falvey; Terrence E Murphy; Linda Leo-Summers; Thomas M Gill; Lauren E Ferrante
Journal:  Crit Care Med       Date:  2021-10-12       Impact factor: 9.296

3.  Association of Perinatal Factors With Severe Obesity and Dyslipidemia in Adulthood.

Authors:  Kristene Tadese; Vivian Ernst; Amy L Weaver; Tom D Thacher; Tamim Rajjo; Seema Kumar; Tara Kaufman; Chung-Il Wi; Brian A Lynch
Journal:  J Prim Care Community Health       Date:  2022 Jan-Dec

4.  Screening for Social Risk Factors in the ICU During the Pandemic.

Authors:  Derek Ge; Alec M Weber; Jayanth Vatson; Tracy Andrews; Natalia Levytska; Carol Shu; Sabiha Hussain
Journal:  Crit Care Explor       Date:  2022-09-29
  4 in total

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