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

Zip Code 10033 Average

20.9

Averages

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21.3 City-Wide
15.4 Manhattan
20.9 Zip Code 10033

Zip Code 10033

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Preventable Hospitalization Rate Population (2011-2013)
All 20.9 175,105

Sex

Female 16.2 85,332
Male 15.0 89,772

Race/Ethnicity

Asian/Pacific Islander 3.0 4,296
Black 22.8 6,701
Hispanic 11.2 122,727
White 7.2 37,914

Age

0-14 years 13.9 25,670
15-24 years 5.0 29,373
25-34 years 5.6 30,708
35-44 years 7.3 26,238
45-54 years 14.4 23,164
55-64 years 24.2 19,347
65-74 years 57.0 10,341
75+ years 136.4 10,234
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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.