New York City Health Atlas

Preventable Hospitalizations

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Description

Number of hospital stays for ambulatory care-sensitive conditions (ACS), or health conditions that are treatable in an outpatient setting. Conditions include asthma, hypertension, diabetes, gastroenteritis, congestive heart failure, angina, bacterial pneumonia, chronic obstructive pulmonary disease, cellulitis, kidney infection, and dehydration.


Calculation

Hospital stays for ACS conditions per 1,000 population.


Source

Statewide Planning and Research Cooperative System (SPARCS) Inpatient Data, 2011-2013.


Years of Data

2011-2013


Additional Resources

City Wide Average

21.3

Bronx Average

27.7

Averages

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21.3 City-Wide
27.7 Bronx

Bronx

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Preventable Hospitalization Rate Population (2011-2013)
All 27.7 4,189,014

Sex

Female 24.9 2,219,078
Male 24.9 1,969,936

Race/Ethnicity

Asian/Pacific Islander 10.8 146,420
Black 25.9 1,257,987
Hispanic 16.7 2,257,702
White 20.0 451,574

Age

0-14 years 19.6 910,328
15-24 years 9.0 681,074
25-34 years 10.8 618,964
35-44 years 15.6 554,508
45-54 years 28.6 560,622
55-64 years 43.6 413,202
65-74 years 68.5 248,990
75+ years 126.5 201,327
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Correlation Is Not Causation

In statistics, correlation is a measure of association between two numeric variables. The strength of correlation between two variables is represented by the correlation coefficient, represented by the abbreviation r. Correlation coefficients range between -1 to 1.

Though the correlation coefficient indicates the strength of an association, it does not provide information about whether the change in one variable is caused by the other.

For example, if the correlation between adult smoking prevalence and child poverty is 0.7—a strong correlation—we cannot say either that adult smoking causes child poverty or, inversely, that child poverty causes smoking. We only know that as one of these variables increases, the other tends to increases.