Is it Possible to Simultaneously Reduce Risk Factors and Excess Health Care Costs?

1992 ◽  
Vol 6 (6) ◽  
pp. 403-409 ◽  
Author(s):  
D. W. Edington ◽  
Louis Yen
F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 303
Author(s):  
Douglas G. Manuel ◽  
Carol Bennett ◽  
Richard Perez ◽  
Andrew S. Wilton ◽  
Adrian Rohit Dass ◽  
...  

Background: Smoking, unhealthy alcohol consumption, poor diet and physical inactivity are leading risk factors for morbidity and mortality, and contribute substantially to overall healthcare costs. The availability of health surveys linked to health care provides population-based estimates of direct healthcare costs. We estimated health behaviour and socioeconomic-attribute healthcare costs, and how these have changed during a period when government policies have aimed to reduce their burden.  Methods: The Ontario samples of the Canadian Community Health Surveys (conducted in 2003, 2005, and 2007-2008) were linked at the individual level to all records of health care use of publicly funded healthcare. Generalized linear models were estimated with a negative binomial distribution to ascertain the relationship of health behaviours and socioeconomic risk factors on health care costs. The multivariable cost model was applied to unlinked, Ontario CCHS samples for each year from 2004 to 2013 to examine the evolution of health behaviour and socioeconomic-attributable direct health care expenditures over a 10-year period. Results: We included 80,749 respondents, aged 25 years and older, and 312,952 person-years of follow-up. The cost model was applied to 200,324 respondents aged 25 years and older (CCHS 2004 to 2013). During the 10-year period from 2004 to 2013, smoking, unhealthy alcohol consumption, poor diet and physical inactivity attributed to 22% of Ontario’s direct health care costs. Ontarians in the most disadvantaged socioeconomic position contributed to 15% of the province’s direct health care costs. Combined, these health behaviour and socioeconomic risk factors were associated with 34% ($134 billion) of direct health care costs (2004 to 2013). Over this time period, we estimated a 1.9% reduction in health care expenditure ($5.0 billion) attributable to improvements in some health behaviours, most importantly reduced rates of smoking. Conclusions: Adverse health behaviours and socioeconomic position cause a large direct health care system cost burden.


2020 ◽  
Vol 34 (5) ◽  
pp. 490-499 ◽  
Author(s):  
Ron Z. Goetzel ◽  
Rachel Mosher Henke ◽  
Michael A. Head ◽  
Richele Benevent ◽  
Kyu Rhee

Purpose: To estimate the relationship between employees’ health risks and health-care costs to inform health promotion program design. Design: An observational study of person-level health-care claims and health risk assessment (HRA) data that used regression models to estimate the relationship between 10 modifiable risk factors and subsequent year 1 health-care costs. Setting: United States. Participants: The sample included active, full-time, adult employees continuously enrolled in employer-sponsored health insurance plans contributing to IBM MarketScan Research Databases who completed an HRA. Study criteria were met by 135 219 employees from 11 employers. Measures: Ten modifiable risk factors and individual sociodemographic and health characteristics were included in the models as independent variables. Five settings of health-care costs were outcomes in addition to total expenditures. Analysis: After building the analytic file, we estimated generalized linear models and conducted postestimation bootstrapping. Results: Health-care costs were significantly higher for employees at higher risk for blood glucose, obesity, stress, depression, and physical inactivity (all at P < .0001) than for those at lower risk. Similar cost differentials were found when specific health-care services were examined. Conclusion: Employers may achieve cost savings in the short run by implementing comprehensive health promotion programs that focus on decreasing multiple health risks.


Author(s):  
Jacqueline Quail ◽  
Maureen Anderson ◽  
Meric Osman ◽  
Claire De Oliveira ◽  
Walter Wodchis ◽  
...  

ABSTRACT ObjectiveThe objective of this research is to identify people with mental health and/or addiction (MHA) problems and determine characteristics that led to them becoming a superuser of health services (i.e., the most expensive 10% of all health service users). ApproachIn Saskatchewan, Canada, we used hospital and physician administrative data spanning 2005 to 2014 to identify the MHA cohort. We will calculate total health care costs for each individual and assign them to one of three groups: low cost users (<50th percentile), moderate cost users (50-<90th percentile), and superusers (90th percentile and above). For each group, we will describe sociodemographic characteristics, disease characteristics, and use of health services, and describe their trajectory towards becoming a superuser. Predictors of becoming a superuser will be identified. A novel aspect of this research is the inclusion of sociobehavioural risk factors by linking 4 population and public health administrative datasets obtained from the Saskatoon Health Region to the provincial administrative health services data. Sociobehavioral factors are widely accepted as strongly influencing health. Each database was selected because it captures data on a sociobehavioral factor. The Oral Health Database contains data on early childhood development, including early childhood tooth decay, dental health status, and tobacco use in elementary school-aged children. The Integrated Public Health Information System contains data on self-reported ethnicity, the occurrence of an infectious notifiable disease, and behavioural and social risk factors for the notifiable disease. The Sexually Transmitted Infection (STI) Clinic Data contains data on exposure to and contraction of STIs, as well as referrals given for mental health and/or addiction services. Finally, the Street Outreach Program provides services to individuals living a high-risk lifestyle on the street. Their database contains information on self-reported ethnicity, hypodermic needle exchange, and homelessness. ResultsIn a province of approximately 1.1 million people, we identified 417,724 people as having at least 1 MHA diagnosis, of which two-thirds were depression and/or anxiety. Substance abuse was found in 9.4%, and schizotypal and psychotic disorders were found in 7.9%, of the MHA cohort, ConclusionIndividuals with severe MHA problems account for a disproportionate amount of health care costs. Identifying predictors of becoming an MHA superuser may afford an opportunity to intervene, possibly years in the future, to prevent a person from becoming a superuser. If true, this has significant implications for health care costs, wait times to access health services, and quality of life for this vulnerable population.


2009 ◽  
Vol 11 (4) ◽  
pp. e43 ◽  
Author(s):  
Naomi Sacks ◽  
Howard Cabral ◽  
Lewis E Kazis ◽  
Kelli M Jarrett ◽  
Delia Vetter ◽  
...  

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