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

4101 (District 401) Average

18.3

Averages

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21.3 City-Wide
16.9 Queens
18.3 4101 (District 401)

4101 (District 401)

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Preventable Hospitalization Rate Population (2011-2013)
All 18.3 509,049

Sex

Female 12.7 256,360
Male 13.4 252,688

Race/Ethnicity

Asian/Pacific Islander 6.2 67,872
Black 29.9 36,957
Hispanic 11.7 142,352
White 7.9 250,425

Age

0-14 years 8.4 65,802
15-24 years 4.0 65,098
25-34 years 3.2 126,969
35-44 years 6.8 78,766
45-54 years 16.3 63,512
55-64 years 29.8 46,886
65-74 years 49.8 31,848
75+ years 117.3 30,168
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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.