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Local-level
data is essential in identifying communities most at risk, yet
this data is often incorrect or unavailable. According to a
2006 study published by the American Journal of Public Health,
local-level data can reveal important information that is often
not uncovered by existing city-and/or regional-level data.
Data on public health issues
traditionally provides little or no local information on the
determinants of morbidity and death rates. Recently, emphasis
on local-level data is becoming more prevalent in the health,
as well as the research community. This data is especially relevant
in urban communities, where smaller areas are becoming more
diverse and health disparities between racial/ethnic populations
are prominent.
The researchers in this
study conducted surveys in six communities in the city of Chicago.
These communities were very diverse racially, geographically
and in terms of income. The researchers analyzed 13 measures
on health conditions, such as high blood pressure, arthritis
or diabetes; health behaviors, such as physical activity and
smoking; and health care access. The study showed significant
disparities among the six community areas and Chicago as a whole.
For example, prevalence rates of high blood pressure were statistically
different in five of the six study areas from the overall rate
in Chicago.
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The
study showed statistically significant "variations in the health
measures assessed between the community areas themselves and
between the community areas and Chicago as a whole." These results
indicate that there are strong limitations with using national
and/or state data on a community level. National data does not
reflect local conditions that coalitions need to know in order
to take action.
Accurately telling your
local "story" through data can have a huge impact on your coalition.
For instance, in Harlem local data was gathered on smoking prevalence
rates. The rate in Harlem was significantly different from the
rate in New York State (42 percent vs. 25 percent).
This data is valuable in
implementing local level policies and interventions they would
address smoking prevalence rates. Researchers noted, "… our
findings can inform policymakers, community leaders, and researchers
in their efforts to advocate for equitable distribution of resources…"
Source: Ami M. Shah, MPH, Steven Whitman, PhD,
and Abigail Silva, MPH. “Variations in the Health Conditions
of 6 Chicago Community Areas: A Case for Local Data” (August
2006). American Journal of Public Health, Vol 96, No.8.
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