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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
2019 680 249.0 82,677 274.1
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
Age-adjusted Hospitalizations From Coronary Heart Disease, Rate Per 100,000 Population, 2019
CountySortCountSortRateSort
Florida 82,677 274.1
Alachua 680 249.0
Baker 121 376.2
Bay 789 345.9
Bradford 107 291.0
Brevard 2,647 274.2
Broward 5,418 219.1
Calhoun 56 278.5
Charlotte 1,247 315.3
Citrus 1,231 411.6
Clay 886 334.6
Collier 1,367 194.1
Columbia 337 362.6
Miami-Dade 8,547 238.9
DeSoto 151 298.9
Dixie 79 304.9
Duval 3,277 302.7
Escambia 999 253.0
Flagler 613 298.8
Franklin 60 301.1
Gadsden 198 308.3
Gilchrist 66 278.2
Glades 37 159.2
Gulf 96 413.8
Hamilton 58 295.2
Hardee 141 443.4
Hendry 190 440.3
Hernando 1,451 452.5
Highlands 926 464.8
Hillsborough 4,653 287.5
Holmes 29 91.2
Indian River 717 236.6
Jackson 96 142.5
Jefferson 67 289.0
Lafayette 45 439.3
Lake 2,485 423.2
Lee 2,965 237.8
Leon 816 274.5
Levy 245 389.2
Liberty 41 386.0
Madison 87 308.4
Manatee 1,692 258.1
Marion 2,176 357.2
Martin 648 203.6
Monroe 276 234.3
Nassau 380 296.9
Okaloosa 695 284.8
Okeechobee 388 682.2
Orange 4,298 304.7
Osceola 1,473 379.0
Palm Beach 5,044 215.6
Pasco 2,882 369.4
Pinellas 4,012 247.9
Polk 3,411 367.3
Putnam 493 458.2
St. Johns 807 223.5
St. Lucie 1,518 314.6
Santa Rosa 724 330.2
Sarasota 1,796 204.6
Seminole 1,373 242.2
Sumter 1,076 333.5
Suwannee 261 397.2
Taylor 119 365.6
Union 78 364.0
Volusia 2,627 304.5
Wakulla 154 395.6
Walton 189 179.7
Washington 66 202.3

10/24/2020 1:54 PM
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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