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

2020 ◽  
pp. 088506662093102
Author(s):  
Amelia Barwise ◽  
Chung-Il Wi ◽  
Ryan Frank ◽  
Bojana Milekic ◽  
Nicole Andrijasevic ◽  
...  
Keyword(s):  
Older Adults ◽  
Socioeconomic Status ◽  
Critical Care ◽  
Intensive Care ◽  
Population Based ◽  
Adult Patients ◽  
Critical Care Outcomes ◽  
Individual Level ◽  
Care Outcomes ◽  
The Impact

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.

The Impact Of Massachusetts Healthcare Insurance Reform On Critical Care Outcomes

2012 ◽  
Author(s):  
Colin R. Cooke ◽  
Sarah M. Lyon ◽  
Hannah Wunsch ◽  
Theodore J. Iwashyna ◽  
Jeremy M. Kahn
Keyword(s):  
Critical Care ◽  
Critical Care Outcomes ◽  
Insurance Reform ◽  
Care Outcomes ◽  
Healthcare Insurance ◽  
The Impact

scholarly journals Childlessness, Individual Socioeconomic Resources, and Health: Exploring Variation in 20 Countries

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 515-516
Author(s):  
Nekehia Quashie ◽  
Christine Mair ◽  
Radoslaw Antczak ◽  
Bruno Arpino
Keyword(s):  
Older Adults ◽  
Health Outcomes ◽  
Health Indicators ◽  
Data Repository ◽  
Middle Income ◽  
Individual Level ◽  
Socioeconomic Resources ◽  
Middle Income Countries ◽  
Using Data ◽  
The Impact

Abstract Childless older adults may be at risk for poorer health cross-nationally, yet most studies on this topic analyze only a small number of countries and only 1 or 2 health outcomes. To our knowledge, two papers exist that explore associations between childlessness and multiple indicators of health using data from a large number of regionally diverse countries (e.g., 20 countries from North America, Asia, and Europe), but neither study includes an examination of socioeconomic resources. The level of health risk faced by childless older adults is likely to be distinctly shaped by older adults’ socioeconomic resources (e.g., education, income, wealth). Associations between childlessness, socioeconomic resources, and health may also differ by country context. Using harmonized, cross-national data for adults aged 50 and older across 20 high- and middle-income countries (United States (HRS), European Union (SHARE), Mexico (MHAS), and China (CHARLS) from the Gateway to Global Aging data repository), we explore if and how individual-level socioeconomic resources (income, education, wealth) moderate associations between childlessness and five health indicators (self-rated health, ADL limitations, IADL limitations, chronic conditions, and depression). Results suggest that associations between childlessness and health outcomes vary by individual socioeconomic resources in some country contexts, but not in others. We discuss these findings in light of the impact of individual-level socioeconomic resources on older adults’ support options and health outcomes cross-nationally.

scholarly journals How does area-level deprivation depress an individual’s self-rated health and life satisfaction? Evidence from a nationwide population-based survey in Japan

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Takashi Oshio ◽  
Hiromi Kimura ◽  
Toshimi Nishizaki ◽  
Takashi Omori
Keyword(s):  
Life Satisfaction ◽  
Health Behavior ◽  
Well Being ◽  
Population Based ◽  
Internet Survey ◽  
Subjective Well Being ◽  
Individual Level ◽  
Self Rated Health ◽  
Level Data ◽  
The Impact

Abstract Background Area-level deprivation is well known to have an adverse impact on mortality, morbidity, or other specific health outcomes. This study examined how area-level deprivation may affect self-rated health (SRH) and life satisfaction (LS), an issue that is largely understudied. Methods We used individual-level data obtained from a nationwide population-based internet survey conducted between 2019 and 2020, as well as municipality-level data obtained from a Japanese government database (N = 12,461 living in 366 municipalities). We developed multilevel regression models to explain an individual’s SRH and LS scores using four alternative measures of municipality-level deprivation, controlling for individual-level deprivation and covariates. We also examined how health behavior and interactions with others mediated the impact of area-level deprivation on SRH and LS. Results Participants in highly deprived municipalities tended to report poorer SRH and lower LS. For example, when living in municipalities falling in the highest tertile of municipality-level deprivation as measured by the z-scoring method, SRH and LS scores worsened by a standard deviation of 0.05 (p < 0.05) when compared with those living in municipalities falling in the lowest tertile of deprivation. In addition, health behavior mediated between 17.6 and 33.1% of the impact of municipality-level deprivation on SRH and LS, depending on model specifications. Conclusion Results showed that area-level deprivation modestly decreased an individual’s general health conditions and subjective well-being, underscoring the need for public health policies to improve area-level socioeconomic conditions.

scholarly journals The Impact of Implementing Critical Care Team on Open General Intensive Care Unit

2012 ◽  
Vol 73 (2) ◽  
pp. 100 ◽  
Author(s):  
Ick Hee Kim ◽  
Seung Bae Park ◽  
Seonguk Kim ◽  
Sang-Don Han ◽  
Seung Seok Ki ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Critical Care ◽  
Intensive Care ◽  
Care Team ◽  
General Intensive Care Unit ◽  
The Impact ◽  
Critical Care Team

Improvement in Pediatric Critical Care Outcomes

2000 ◽  
Vol 28 (2) ◽  
pp. 601-602 ◽  
Author(s):  
John M. Tilford ◽  
Paula K. Roberson ◽  
Shelly Lensing ◽  
Debra H. Fiser
Keyword(s):  
Critical Care ◽  
Critical Care Outcomes ◽  
Pediatric Critical Care ◽  
Care Outcomes
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