Preventable Hospitalizations Under 65 from Asthma


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Alachua County Florida
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Preventable Hospitalizations Under 65 from Asthma, Single Year Rates
AlachuaFlorida
YearCountDenomRateMOV
(+/-)
CountDenomRateMOV
(+/-)
2015 381 220,152 173.1* 17.4 17,389 16,074,948 108.2 1.6
2014 432 219,307 197.0* 18.6 20,296 15,956,275 127.2 1.7
2013 401 217,839 184.1* 18.0 20,998 15,805,965 132.8 1.8
2012 322 218,894 147.1 16.1 21,101 15,623,765 135.1 1.8
2011 283 219,299 129.0 15.0 21,340 15,558,892 137.2 1.8
2010 220 220,676 99.7* 13.2 22,117 15,505,907 142.6 1.9
2009 239 221,362 108.0* 13.7 22,180 15,474,910 143.3 1.9
2008 239 220,187 108.5* 13.8 20,083 15,432,959 130.1 1.8
2007 240 218,762 109.7* 13.9 20,219 15,353,084 131.7 1.8
2006 205 215,957 94.9* 13.0 19,834 15,141,873 131.0 1.8
2005 211 212,086 99.5* 13.4 20,494 14,863,464 137.9 1.9
2004 196 207,964 94.2* 13.2 21,296 14,550,450 146.4 2.0
2003 244 205,351 118.8* 14.9 22,644 14,089,306 160.7 2.1
2002 228 203,030 112.3* 14.6 20,072 13,779,684 145.7 2.0
2001 219 200,591 109.2* 14.5 19,421 13,533,749 143.5 2.0
2000 180 198,233 90.8* 13.3 18,905 13,256,443 142.6 2.0
1999 205 192,803 106.3* 14.5 18,994 12,904,688 147.2 2.1
1998 145 187,882 77.2* 12.6 16,260 12,559,446 129.5 2.0
1997 186 185,398 100.3* 14.4 19,128 12,285,238 155.7 2.2
1996 231 181,888 127.0* 16.4 17,768 12,006,908 148.0 2.2
Preventable Hospitalizations Under 65 from Asthma, 2015
CountySortCountSortDenomRateSortMOV
(+/-)
Florida 17,389 16,074,947 108.2 1.6
Alachua 381 220,151 173.1* 17.4
Baker 24 23,983 100.1 40.0
Bay 109 144,500 75.4* 14.2
Bradford 29 23,075 125.7 45.7
Brevard 387 434,705 89.0* 8.9
Broward 1,746 1,525,805 114.4* 5.4
Calhoun 11 12,086 91.0 53.8
Charlotte 127 106,289 119.5 20.8
Citrus 74 94,649 78.2* 17.8
Clay 164 174,416 94.0 14.4
Collier 145 248,653 58.3* 9.5
Columbia 84 56,481 148.7* 31.8
Miami-Dade 2,028 2,238,635 90.6* 3.9
DeSoto 21 28,124 74.7* 31.9
Dixie 15 13,139 114.2 57.7
Duval 1,347 780,989 172.5* 9.2
Escambia 249 255,389 97.5 12.1
Flagler 71 75,941 93.5 21.7
Franklin
Gadsden 44 40,988 107.3 31.7
Gilchrist 28 13,561 206.5* 76.4
Glades
Gulf
Hamilton 9 12,285 73.3 47.8
Hardee 13 23,895 54.4* 29.6
Hendry 42 33,012 127.2 38.5
Hernando 145 130,304 111.3 18.1
Highlands 72 67,936 106.0 24.5
Hillsborough 1,347 1,155,684 116.6* 6.2
Holmes 11 16,213 67.8* 40.1
Indian River 47 102,742 45.7* 13.1
Jackson 17 41,361 41.1* 19.5
Jefferson 17 11,795 144.1 68.5
Lafayette 5 7,493 66.7 58.5
Lake 261 240,179 108.7 13.2
Lee 655 509,369 128.6* 9.8
Leon 199 250,833 79.3* 11.0
Levy 45 32,054 140.4 41.0
Liberty 12 7,663 156.6 88.5
Madison 12 15,793 76.0 43.0
Manatee 163 260,563 62.6* 9.6
Marion 209 248,240 84.2* 11.4
Martin 84 106,848 78.6* 16.8
Monroe 27 58,620 46.1* 17.4
Nassau 53 62,176 85.2* 22.9
Okaloosa 110 162,032 67.9* 12.7
Okeechobee 60 32,856 182.6* 46.2
Orange 1,430 1,124,819 127.1* 6.6
Osceola 517 270,286 191.3* 16.5
Palm Beach 1,332 1,063,139 125.3* 6.7
Pasco 386 385,139 100.2 10.0
Pinellas 721 721,634 99.9* 7.3
Polk 861 513,105 167.8* 11.2
Putnam 50 57,495 87.0 24.1
St. Johns 131 177,739 73.7* 12.6
St. Lucie 293 226,367 129.4* 14.8
Santa Rosa 64 140,538 45.5* 11.2
Sarasota 100 261,524 38.2* 7.5
Seminole 299 380,348 78.6* 8.9
Sumter 47 59,593 78.9* 22.5
Suwannee 41 35,815 114.5 35.0
Taylor 23 18,683 123.1 50.3
Union 24 14,034 171.0 68.4
Volusia 318 391,224 81.3* 8.9
Wakulla 20 27,420 72.9* 32.0
Walton 19 50,700 37.5* 16.8
Washington 6 20,934 28.7* 22.9

7/25/2017 10:41 PM
FloridaCHARTS.com is provided by the Florida Department of Health, Division of Public Health Statistics & Performance Management.

Data Source: Florida Agency for Health Care Administration (AHCA). Click to view Ambulatory Care Sensitive Conditions ICD-9-CM Codes
Data Note(s)
  • ICD9-CM code(s): 493 , ICD10-CM Code(s): J45
  • Data are suppressed when a county has between 1 and 4 reported hospitalizations
  • Data based on principal diagnosis codes only.
  • Chart will display if there are at least three years of data.
  • Multi-year counts are a sum of the selected years, not an average.
  • Use caution when interpreting rates and ratios based on small numbers of events. Rates and ratios are considered unstable if they are based on fewer than 5 cases or if the denominator (population at risk) is fewer than 20. An erratic trend line illustrates this instability.
  • Quartiles are calculated when data is available for at least 51 counties.
  • Each April, population estimates for the previous year and forward for the next five years are updated on FloridaCHARTS.com. Every ten years following a census, population projections for intercensal years based on information from the latest census is updated on FloridaCHARTS.com. These customary revisions improve accuracy and accounting of racial, ethnic, and gender distribution of the population. When implemented, rates are concurrently updated.
  • When rates are per 100,000 population they are calculated using population estimates provided by the Florida Legislature, Office of Economic and Demographic Research. All age-adjusted rates utilize the Year 2000 Standard Population Proportion.
  • MOV - Measure of Variability: Probable range of values resulting from random fluctuations in the number of events. Not calculated when numerator is below 5 or denominator is below 20, or count or rate is suppressed. The MOV is useful for comparing rates to a goal or standard. For example, if the absolute difference between the county rate and the statewide rate is less than the MOV, the county rate is not significantly different from the statewide rate (alpha level = 0.05). When the absolute difference between the county rate and the statewide rate is greater than the MOV, the county rate is significantly different from the statewide rate. MOV should not be used to determine if the rates of two different counties, or the county rates for two different years, are statistically significantly different.
  • Denom - abbreviated for Denominator.
  • Population estimates are not available for persons whose county of residence is unknown. Given this, the denominator and associated rate are not available.
  • * - Indicates the county rate is statistically significantly different from the statewide rate.
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