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Hospitalizations From Coronary Heart Disease

Definition:
Inpatient hospitalizations, discharged from civilian, non-federal acute care hospitals located in Florida, where coronary heart disease was the principal diagnosis. Coronary heart disease includes angina, heart attack and other ischemic heart diseases.

Why do we measure this?
Coronary heart disease can result in pain, disability, lower quality of life and premature death. Hospitalization due to coronary heart disease leads to lost productivity and high medical costs.




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Alachua County Florida
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Age-adjusted Hospitalizations From Coronary Heart Disease, Rate Per 100,000 Population, Single Year
AlachuaFlorida
YearCountRateCountRate
2018 743 282.1 80,402 273.9
2017 739 286.1 82,047 286.6
2016 704 272.8 82,727 297.0
2015 697 279.4 80,637 297.7
2014 622 255.8 78,494 297.3
2013 610 257.9 79,631 309.4
2012 722 316.5 85,179 338.7
2011 647 285.4 86,149 349.7
2010 707 306.8 92,606 375.6
2009 823 380.7 98,054 407.9
2008 921 437.3 106,839 449.3
2007 915 446.3 113,962 486.8
2006 1,012 513.9 127,357 554.7
2005 1,089 575.0 135,757 607.9
2004 1,134 601.9 142,787 657.1
2003 1,201 658.7 146,366 682.1
2002 1,132 625.4 149,317 705.8
2001 1,188 674.7 153,518 752.5
2000 1,119 644.3 153,140 766.8
1999 1,010 598.9 148,690 764.1
Age-adjusted Hospitalizations From Coronary Heart Disease, Rate Per 100,000 Population, 2018
CountySortCountSortRateSort
Florida 80,402 273.9
Alachua 743 282.1
Baker 133 436.2
Bay 892 387.1
Bradford 139 369.2
Brevard 2,422 258.4
Broward 5,525 228.6
Calhoun 46 231.0
Charlotte 1,143 305.1
Citrus 1,098 401.8
Clay 750 292.8
Collier 1,319 192.0
Columbia 358 376.8
Miami-Dade 8,492 242.0
DeSoto 170 331.0
Dixie 90 358.6
Duval 3,179 303.6
Escambia 1,050 273.1
Flagler 503 265.4
Franklin 43 228.3
Gadsden 186 297.0
Gilchrist 91 370.2
Glades 36 166.1
Gulf 80 331.0
Hamilton 65 374.9
Hardee 104 326.3
Hendry 169 398.8
Hernando 1,408 444.9
Highlands 780 403.2
Hillsborough 4,549 288.1
Holmes 65 237.5
Indian River 673 234.6
Jackson 85 120.7
Jefferson 52 221.8
Lafayette 32 319.0
Lake 2,520 450.7
Lee 2,766 230.6
Leon 726 253.3
Levy 224 336.2
Liberty 46 449.3
Madison 68 253.4
Manatee 1,600 249.0
Marion 2,121 356.5
Martin 655 216.8
Monroe 262 218.9
Nassau 381 308.4
Okaloosa 674 285.5
Okeechobee 331 565.2
Orange 4,066 297.3
Osceola 1,401 372.9
Palm Beach 4,910 215.4
Pasco 2,878 374.4
Pinellas 3,995 254.3
Polk 3,332 364.4
Putnam 495 466.5
St. Johns 758 219.9
St. Lucie 1,541 323.4
Santa Rosa 726 334.6
Sarasota 1,693 194.8
Seminole 1,324 236.4
Sumter 1,062 353.3
Suwannee 289 439.6
Taylor 95 302.0
Union 82 425.3
Volusia 2,527 299.5
Wakulla 113 289.0
Walton 190 201.6
Washington 81 243.6

8/7/2020 12:01 AM
FLHealthCharts.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)
Data Note(s)
  • ICD-9-CM Code(s): 410, 411, 412, 413, 414 or 429.2 listed as the principal diagnosis. ICD-10-CM Code(s): I20, I21, I22, I23, I24 or I25 listed as the principal diagnosis.
  • Data are suppressed when there are 1-4 hospitalizations in a year.
  • To keep abreast of medical knowledge, the International Classification of Diseases (ICD) is revised periodically. Large increases or decreases in hospitalizations are typically indicative of such changes. Effective October 1, 2015, the ICD 9th Revision Clinical Modification (ICD-9-CM) transitioned to ICD 10th Revision Clinical Modification (ICD-10-CM). Hospitalization data before October 2015 use ICD-9-CM; starting in October 2015, hospitalization data use ICD-10-CM. Consequently increases or decreases starting in 2015 may not be due to changes in disease trends but due to changes in coding.
  • This is primary, quantitative data.
  • 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.
  • Quartiles are calculated when data is available for at least 51 counties.
  • 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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