In their article, Wolff and colleagues
1
propose a new Z-score Burden Metric (ZSBM) for assessing burden of injury and diseases. They describe
the new metric as “ZSBM compares age-specific rates with those of the state as a whole
and then collapses them to depict the burden imposed on a county on the basis of its
own age distribution rather than that of the reference population as in age-adjusted
rates.” The ZSBM is used to generate 4 complementary measures to describe various
components of overall burden. The authors’ primary focus is on assessing the burden
of injury and disease as defined by incidence (not severity of illness, cost of illness,
years of potential life lost, or any other relevant measure). They propose a new measure
named the Overall Burden Measure (OBM) to assess such burden and then use it to analyze
data from firearm-related injury deaths in North Carolina. They compare the results
on the basis of the OBM versus the unadjusted and age-adjusted rates and summarize
the findings in their Figure 1 (available through the link https://doi.org/10.1016/j.amepre.2022.03.029). They conclude that burden as measured by the OBM and the unadjusted rate are similar
but not the same. Thus, an important question arises: What measure is appropriate when the OBM and the unadjusted rate give different results? I suggest that using the OBM versus the unadjusted rate for measuring the burden
of a disease is problematic when these measures disagree (e.g., Onslow versus Moore,
which shows one of the highest disagreements in their Figure 1, available through
the link https://doi.org/10.1016/j.amepre.2022.03.029).To read this article in full you will need to make a payment
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REFERENCE
- Z-score burden metric: a method for assessing burden of injury and disease.Am J Prev Med. 2022; 63: e65-e72https://doi.org/10.1016/j.amepre.2022.03.029
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© 2022 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.