Literature DB >> 23560493

Well-being and employee health-how employees' well-being scores interact with demographic factors to influence risk of hospitalization or an emergency room visit.

William M Gandy1, Carter Coberley, James E Pope, Elizabeth Y Rula.   

Abstract

The goal of this study was to determine the relationship between individual well-being and risk of a hospital event in the subsequent year. The authors hypothesized an inverse relationship in which low well-being predicts higher likelihood of hospital use. The study specifically sought to understand how well-being segments and demographic variables interact in defining risk of a hospital event (inpatient admission or emergency room visit) in an employed population. A retrospective study design was conducted with data from 8835 employees who completed a Well-Being Assessment questionnaire based on the Gallup-Healthways Well-Being Index. Cox proportional hazards models were used to examine the impact of Individual Well-Being Score (IWBS) segments and member demographics on hazard ratios (HRs) for a hospital event during the 12 months following assessment completion. Significant main effects were found for the influence of IWBS segments, sex, education, and relationship status on HRs of a hospital event, but not for age. However, further analysis revealed significant interactions between age and IWBS segments (P=0.005) and between age and sex (P<0.0001), indicating that the effects for IWBS segments and sex on HRs of a hospital event are mediated through their relationship with age. Overall, the strong relationship between low well-being and higher risk of an event in employees ages 44 years and older is mitigated in younger age groups. These results suggest that youth attenuates the risk engendered in poor well-being; therefore, methods to maintain or improve well-being as individuals age presents a strong opportunity for reducing hospital events.

Mesh:

Year:  2013        PMID: 23560493      PMCID: PMC3935466          DOI: 10.1089/pop.2012.0120

Source DB:  PubMed          Journal:  Popul Health Manag        ISSN: 1942-7891            Impact factor:   2.459


  13 in total

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5.  Classification of individual well-being scores for the determination of adverse health and productivity outcomes in employee populations.

Authors:  Yuyan Shi; Lindsay E Sears; Carter R Coberley; James E Pope
Journal:  Popul Health Manag       Date:  2012-09-26       Impact factor: 2.459

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5.  What's Mine is Yours: Evaluation of Shared Well-Being Among Married Couples and the Dyadic Influence on Individual Well-Being Change.

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Journal:  J Occup Environ Med       Date:  2017-01       Impact factor: 2.162

6.  Identifying characteristics of high-poverty counties in the United States with high well-being: an observational cross-sectional study.

Authors:  Anita Arora; Erica S Spatz; Jeph Herrin; Carley Riley; Brita Roy; Elizabeth Y Rula; Kenneth Patton Kell; Harlan M Krumholz
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7.  Trends and geographical variation in population thriving, struggling and suffering across the USA, 2008-2017: a retrospective repeated cross-sectional study.

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8.  Adaptive Measurement of Well-Being: Maximizing Efficiency and Optimizing User Experience during Individual Assessment.

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9.  Association of the Overall Well-being of a Population With Health Care Spending for People 65 Years of Age or Older.

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10.  Associations between community well-being and hospitalisation rates: results from a cross-sectional study within six US states.

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  10 in total

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