Ambulatory Care Sensitive Hospitalizations From Chronic Obstructive Pulmonary Disease (Aged 0-64 Years)

Ambulatory Care Sensitive Hospitalizations From Chronic Obstructive Pulmonary Disease (Aged 0-64 Years)

Florida resident inpatient hospitalizations due to chronic obstructive pulmonary disease and that were potentially avoidable, occurring at civilian, non-federal hospitals located in Florida, among people less than 65 years old. Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory lung disease that causes obstructed airflow from the lungs. People with COPD are at increased risk of developing heart disease, lung cancer and a variety of other conditions.

This indicator has been identified as an ambulatory care sensitive condition, a type of hospitalization that might have been avoided through access to high-quality outpatient care. Timely and effective ambulatory (outpatient) care can decrease hospitalizations by preventing the onset of an illness or condition, controlling an acute episode of an illness or managing a chronic disease or condition. High rates of Ambulatory Care Sensitive hospitalizations in a community may indicate a lack or failure of prevention efforts, a primary care resource shortage, poor performance of primary health care delivery systems or other factors that create barriers to timely and effective care. Ambulatory care sensitive conditions are helpful when assessing community health needs.

In 2023, the rate per 100,000 of Ambulatory Care Sensitive Hospitalizations From Chronic Obstructive Pulmonary Disease (Aged 0-64 Years) in Alachua County was 69.9 compared to Florida at 59. The line graph shows change over time when there are at least three years of data.

Alachua County is in the third quartile for this measure. This means that relative to other counties in Florida, there are less Ambulatory Care Sensitive Hospitalizations From Chronic Obstructive Pulmonary Disease (Aged 0-64 Years) in about one half of the counties, and more in about one quarter of the counties.

The map illustrates county data by quartile. A quartile map is presented when there are at least 51 counties with data for this measure.

Links:   Healthy People 2030 | Other Resource
Alachua County
Ambulatory Care Sensitive Hospitalizations From Chronic Obstructive Pulmonary Disease (Aged 0-64 Years), Single Year
Click on county name or “Florida” in the legend to hide or show the county or state.
Ambulatory Care Sensitive Hospitalizations From Chronic Obstructive Pulmonary Disease (Aged 0-64 Years), Rate Per 100,000 Population (Aged 0-64 Years), Single Year  
AlachuaFlorida
Data YearCountDenomRateMOVCountDenomRateMOV
2023172246,18769.9*10.410,51517,812,09259.01.1
2022183246,39774.3*10.810,05017,627,97157.01.1
2021149233,69763.810.210,82317,319,40462.51.2
2020154230,93366.710.513,15017,125,74576.81.3
2019231229,273100.8*13.020,18016,926,938119.21.6
2018254227,887111.5*13.721,59616,760,374128.91.7
2017309224,649137.5*15.327,74616,481,878168.32.0
2016356224,169158.816.527,34116,297,600167.82.0
2015275223,730122.914.520,83816,103,893129.41.8
2014245221,562110.6*13.820,05815,929,801125.91.7
2013246219,959111.814.019,88215,801,487125.81.7
2012251219,787114.214.119,45215,751,689123.51.7
2011214220,35297.1*13.018,89315,645,727120.81.7
2010200220,67690.6*12.618,60815,505,907120.01.7
2009204221,36292.2*12.617,94115,474,910115.91.7
2008196220,18789.0*12.515,82515,432,959102.51.6
2007185218,76284.612.213,13415,353,08485.51.5
2006152215,95770.4*11.212,44215,141,87382.21.4
2005137212,08664.6*10.812,93514,863,46487.01.5
Florida
Ambulatory Care Sensitive Hospitalizations From Chronic Obstructive Pulmonary Disease (Aged 0-64 Years), Rate Per 100,000 Population (Aged 0-64 Years), 2023
*Mouseover map to see county name and value. *Click a legend category to hide or show that category.
Ambulatory Care Sensitive Hospitalizations From Chronic Obstructive Pulmonary Disease (Aged 0-64 Years), Rate Per 100,000 Population (Aged 0-64 Years), 2023      MOV
CountyCountDenomRateMOV
Florida10,51517,812,09259.01.1
Alachua172246,18769.9*10.4
Baker2123,57289.138.1
Bay58153,16437.9*9.7
Bradford2521,555116.0*45.4
Brevard412481,05085.6*8.3
Broward6491,627,45939.9*3.1
Calhoun1211,166107.560.8
Charlotte154120,188128.1*20.2
Citrus112102,010109.8*20.3
Clay83190,27943.6*9.4
Collier101265,39938.1*7.4
Columbia4357,98774.222.2
Miami-Dade8482,306,23836.8*2.5
DeSoto1727,06262.829.9
Dixie2112,874163.1*69.7
Duval528889,42059.45.1
Escambia140273,81151.18.5
Flagler2988,26832.9*12.0
Franklin42.0
Gadsden1535,25342.521.5
Gilchrist1215,30678.444.3
Glades22.4
Gulf712,70055.140.8
Hamilton27.6
Hardee1321,48960.532.9
Hendry1135,34031.1*18.4
Hernando140148,93294.0*15.6
Highlands6266,30693.5*23.3
Hillsborough8711,318,51466.1*4.4
Holmes1215,85675.742.8
Indian River81109,83073.816.1
Jackson2838,75372.326.8
Jefferson611,44252.441.9
Lafayette15.8
Lake214301,39271.0*9.5
Lee339582,33958.26.2
Leon116257,28645.1*8.2
Levy3033,42889.732.1
Liberty44.3
Madison814,45055.438.4
Manatee173307,79956.28.4
Marion305285,427106.9*12.0
Martin97110,43887.8*17.5
Monroe3563,98654.718.1
Nassau4775,09162.617.9
Okaloosa81182,30344.4*9.7
Okeechobee5331,465168.4*45.3
Orange6891,313,96052.4*3.9
Osceola210384,85954.67.4
Palm Beach3961,150,97134.4*3.4
Pasco479475,211100.8*9.0
Pinellas617718,83685.8*6.8
Polk579636,20791.0*7.4
Putnam5756,525100.8*26.2
St. Johns50243,79420.5*5.7
St. Lucie190271,84469.9*9.9
Santa Rosa95168,13256.511.4
Sarasota204288,19370.8*9.7
Seminole211408,80651.6*7.0
Sumter5863,28191.7*23.6
Suwannee2835,39179.129.3
Taylor716,99541.230.5
Union1013,20875.746.9
Volusia377434,25986.8*8.8
Wakulla1730,01956.626.9
Walton3165,19047.616.7
Washington1621,17775.637.0
11/4/2025 10:29:57 AM

Data Note(s)


FLHealthCHARTS.gov is provided by the Florida Department of Health, Division of Public Health Statistics and Performance Management.

Data Source: Florida Agency for Health Care Administration (AHCA)

  • ICD-9-CM Code(s): 491, 492, 494, 496, 466.0. ICD-10-CM Code(s): J20, J40, J41, J42, J43, J44, J47

  • 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.

  • Blank data fields indicate results have been suppressed because counts are between 1 and 4.
  • 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 secondary, quantitative data.
  • All population-based rates are calculated using July 1 Florida population estimates from the Florida Legislature, Office of Economic and Demographic Research.