Preventable Hospitalizations Under 65 from Asthma


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Alachua County Florida
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Preventable Hospitalizations Under 65 from Asthma, 3-Year Rolling Rates
AlachuaFlorida
YearCountDenomRateMOV
(+/-)
CountDenomRateMOV
(+/-)
1993-95 680 526,800 129.1* 9.7 52,197 34,550,791 151.1 1.3
1994-96 700 536,004 130.6* 9.7 52,185 35,293,544 147.9 1.3
1995-97 638 545,855 116.9* 9.1 54,698 36,054,089 151.7 1.3
1996-98 562 555,168 101.2* 8.4 53,156 36,851,592 144.2 1.2
1997-99 536 566,083 94.7* 8.0 54,382 37,749,372 144.1 1.2
1998-00 530 578,918 91.6* 7.8 54,159 38,720,577 139.9 1.2
1999-01 604 591,627 102.1* 8.1 57,320 39,694,880 144.4 1.2
2000-02 627 601,854 104.2* 8.2 58,398 40,569,876 143.9 1.2
2001-03 691 608,972 113.5* 8.5 62,137 41,402,739 150.1 1.2
2002-04 668 616,345 108.4* 8.2 64,012 42,419,440 150.9 1.2
2003-05 651 625,401 104.1* 8.0 64,434 43,503,220 148.1 1.1
2004-06 612 636,007 96.2* 7.6 61,624 44,555,787 138.3 1.1
2005-07 656 646,805 101.4* 7.8 60,547 45,358,421 133.5 1.1
2006-08 684 654,906 104.4* 7.8 60,136 45,927,916 130.9 1.0
2007-09 718 660,311 108.7* 7.9 62,482 46,260,953 135.1 1.1
2008-10 698 662,225 105.4* 7.8 64,380 46,413,776 138.7 1.1
2009-11 742 661,337 112.2* 8.1 65,637 46,539,709 141.0 1.1
2010-12 825 658,869 125.2* 8.5 64,558 46,688,564 138.3 1.1
2011-13 1,006 656,032 153.3* 9.5 63,439 46,988,622 135.0 1.0
2012-14 1,155 656,040 176.1* 10.1 62,395 47,386,005 131.7 1.0
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Preventable Hospitalizations Under 65 from Asthma, 2012-14
CountySortCountSortDenomRateSortMOV
(+/-)
Florida 62,395 47,386,005 131.7 1.0
Alachua 1,155 656,040 176.1* 10.1
Baker 78 72,016 108.3 24.0
Bay 399 432,991 92.1* 9.0
Bradford 107 69,891 153.1 29.0
Brevard 1,405 1,301,132 108.0* 5.6
Broward 6,852 4,516,410 151.7* 3.6
Calhoun 29 37,018 78.3* 28.5
Charlotte 498 320,927 155.2* 13.6
Citrus 305 286,791 106.3* 11.9
Clay 462 509,549 90.7* 8.3
Collier 475 732,987 64.8* 5.8
Columbia 310 170,645 181.7* 20.2
Miami-Dade 7,688 6,588,673 116.7* 2.6
DeSoto 70 84,345 83.0* 19.4
Dixie 60 39,398 152.3 38.5
Duval 4,208 2,302,506 182.8* 5.5
Escambia 1,012 762,260 132.8 8.2
Flagler 185 225,240 82.1* 11.8
Franklin 21 28,413 73.9* 31.6
Gadsden 193 123,790 155.9* 22.0
Gilchrist 55 41,837 131.5 34.7
Glades 30 29,689 101.0 36.1
Gulf 30 39,500 75.9* 27.2
Hamilton 33 37,667 87.6* 29.9
Hardee 58 72,179 80.4* 20.7
Hendry 149 100,000 149.0 23.9
Hernando 540 390,509 138.3 11.7
Highlands 303 202,563 149.6* 16.8
Hillsborough 4,434 3,346,596 132.5 3.9
Holmes 19 49,149 38.7* 17.4
Indian River 139 306,328 45.4* 7.5
Jackson 103 125,226 82.3* 15.9
Jefferson 46 35,750 128.7 37.2
Lafayette 19 22,547 84.3* 37.9
Lake 887 696,728 127.3 8.4
Lee 2,058 1,485,944 138.5* 6.0
Leon 660 747,791 88.3* 6.7
Levy 175 97,335 179.8* 26.6
Liberty 15 23,034 65.1* 32.9
Madison 37 48,187 76.8* 24.7
Manatee 785 764,927 102.6* 7.2
Marion 748 745,735 100.3* 7.2
Martin 238 321,647 74.0* 9.4
Monroe 145 176,737 82.0* 13.3
Nassau 235 185,283 126.8 16.2
Okaloosa 458 478,653 95.7* 8.8
Okeechobee 189 99,069 190.8* 27.2
Orange 5,573 3,229,141 172.6* 4.5
Osceola 1,781 768,781 231.7* 10.7
Palm Beach 4,618 3,147,443 146.7* 4.2
Pasco 1,437 1,130,364 127.1 6.6
Pinellas 2,519 2,147,689 117.3* 4.6
Polk 2,924 1,505,950 194.2* 7.0
Putnam 200 175,824 113.8* 15.8
St. Johns 424 506,127 83.8* 8.0
St. Lucie 1,001 682,949 146.6* 9.1
Santa Rosa 276 411,338 67.1* 7.9
Sarasota 550 790,583 69.6* 5.8
Seminole 1,094 1,123,813 97.3* 5.8
Sumter 208 168,978 123.1 16.7
Suwannee 160 107,495 148.8 23.0
Taylor 96 56,997 168.4* 33.7
Union 81 41,717 194.2* 42.2
Volusia 1,180 1,169,963 100.9* 5.8
Wakulla 63 82,205 76.6* 18.9
Walton 71 144,580 49.1* 11.4
Washington 39 62,411 62.5* 19.6
12/9/2016 10:22 AM
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
  • 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.
  • * - Indicates the county rate is statistically significantly different from the statewide rate.

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