Return
Prototyping a Methodology for Estimating the Economic Externalities Resulting From Commercial Products’ Influence on the Health of Their Users
S
S
C
I
E
DOI:10.1177/08901171261473735.png)
Abstract
En 中文
<jats:sec>
<jats:title>Purpose</jats:title>
<jats:p>Determine feasibility of estimating economic externalities associated with influences that products of individual corporations have on their customers’ health behaviors.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Design</jats:title>
<jats:p>Our methodology included four steps: (1) model influence of company product(s) on user behavior at the population level; (2) calculate relative risks of developing selected diseases/conditions associated with product use; (3) estimate the number of cases of selected disease/conditions that could be attributed to the company’s influence; and (4) summarize annual cost of attributable cases.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Setting</jats:title>
<jats:p>United States.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Sample</jats:title>
<jats:p>Three companies: Burger King, Netflix and Niantic Labs.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Measures</jats:title>
<jats:p>Annual US healthcare costs associated with the use of commercial products and services by adults.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Analysis</jats:title>
<jats:p>We estimated costs and benefits (costs avoided) by linking product use and population exposure with relative risks of major chronic conditions, as established in dose-response meta-analysis studies, to calculate population attributable fractions and then linking potentially attributable cases to annual healthcare costs.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Results</jats:title>
<jats:p>Annual cost potentially attributable to Burger King was $4.9 billion and Netflix $32.4 billion; annual benefit attributable to Niantic Labs was $322 million.</jats:p>
</jats:sec>
<jats:sec>
<jats:title>Conclusion</jats:title>
<jats:p>We demonstrated a methodology for estimating economic externalities that could be associated with the use of different commercial products/services.</jats:p>
</jats:sec>
Journal
A
IF:
2.4
Papers:
190
Citations:
0
