Births With Adequate Prenatal Care Based on Kotelchuck Index

The Kotelchuck Index, also called the Adequacy of Prenatal Care Utilization (APNCU) Index, classifies the adequacy of initiation as follows: pregnancy months 1 and 2, months 3 and 4, months 5 and 6, and months 7 to 9. A ratio of observed to expected visits is calculated and grouped into four categories: Inadequate (received less than 50% of expected visits), Intermediate (received 50%-79% of expected visits), Adequate (received 80%-109% of expected visits), Adequate Plus (received 110% or more of expected visits). Mothers with unknown prenatal care are excluded from the denominator in calculating the percentage.

This indicator is a measure of the adequacy of prenatal care provided to a woman by health care providers during the prenatal period. The adequacy of prenatal care utilization index provides a more comprehnsive measure of prenatal care utilization than the timing of prenatal care. High-risk pregnant women are likely to have high rates for adequate+plus care due to the many visits they receive.

In 2022, in Alachua County, the percent of adequate prenatal care that were Births With Adequate Prenatal Care Based on Kotelchuck Index (All) was 73.6 compared to Florida at 62.6. Since the oldest age of the mother at birth varies, an ending age of 999 is used to retrieve all records up to and including the oldest age.

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

Resources:   Healthy People 2030 | Other
Age Range
Select Ages
Alachua County
Births With Adequate Prenatal Care Based on Kotelchuck Index, Single Year
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Births With Adequate Prenatal Care Based on Kotelchuck Index, Single Year  
AlachuaFlorida
Data YearCountDenomRateMOVCountDenomRateMOV
20221,7872,42873.6*1.8132,526211,71262.60.2
20211,5822,21771.4*1.9125,959199,93163.00.2
20201,5972,30069.4*1.9125,120187,77666.60.2
20191,7442,36973.6*1.8134,853191,63770.40.2
20181,7882,36075.8*1.7136,908193,98370.60.2
20171,7462,31375.5*1.8137,986194,94570.80.2
20161,8792,41777.7*1.7139,433198,86970.10.2
20151,9402,55176.0*1.7142,913202,75470.50.2
20141,9752,68173.7*1.7139,307201,02369.30.2
20132,0062,64875.8*1.6139,000198,83769.90.2
20122,0842,76275.5*1.6140,627197,96671.00.2
20112,0222,82171.71.7137,448190,78672.00.2
20101,8872,71469.5*1.7131,093183,90071.30.2
20091,9502,75870.71.7138,142193,89671.20.2
20081,9732,81570.11.7142,059203,69669.70.2
20071,8922,67070.91.7150,512214,70870.10.2
20061,9962,66075.0*1.6151,987211,21572.00.2
20051,9382,50277.5*1.6144,159198,18072.70.2
20041,8182,40375.7*1.7138,579190,51672.70.2
20031,8592,45675.71.7153,538207,40274.00.2
Florida
Births With Adequate Prenatal Care Based on Kotelchuck Index, Percent of Adequate Prenatal Care, 2022
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Births With Adequate Prenatal Care Based on Kotelchuck Index, Percent of Adequate Prenatal Care, 2022    
CountyCountDenomRateMOV
Florida132,526211,71262.60.2
Alachua1,7872,42873.6*1.8
Baker18632956.5*5.4
Bay1,3041,83870.9*2.1
Bradford19027768.6*5.5
Brevard3,0425,03260.5*1.4
Broward12,88120,24563.6*0.7
Calhoun8311472.8*8.2
Charlotte66496269.0*2.9
Citrus58094461.43.1
Clay1,3372,18261.32.0
Collier1,6682,96456.3*1.8
Columbia47766272.1*3.4
Miami-Dade16,29028,47557.2*0.6
Desoto24837965.44.8
Dixie7011958.88.8
Duval6,45311,86254.4*0.9
Escambia2,4553,51369.9*1.5
Flagler55582367.4*3.2
Franklin538165.410.4
Gadsden27440467.8*4.6
Gilchrist13520366.56.5
Glades537570.710.3
Gulf659171.49.3
Hamilton7615549.0*7.9
Hardee21636559.25.0
Hendry38052472.5*3.8
Hernando9881,55263.72.4
Highlands51884561.33.3
Hillsborough10,68516,76563.7*0.7
Holmes12716975.1*6.5
Indian River8791,20073.3*2.5
Jackson33648169.9*4.1
Jefferson8912372.4*7.9
Lafayette385865.512.2
Lake2,1813,61160.4*1.6
Lee4,6387,04665.8*1.1
Leon1,8922,52275.0*1.7
Levy24134569.9*4.8
Liberty577378.1*9.5
Madison11515474.7*6.9
Manatee2,5743,59371.6*1.5
Marion1,9193,34157.4*1.7
Martin8701,24769.8*2.5
Monroe41073355.9*3.6
Nassau47677961.13.4
Okaloosa1,8282,46674.1*1.7
Okeechobee31950263.54.2
Orange7,94815,65550.8*0.8
Osceola2,9874,61464.7*1.4
Palm Beach9,36614,65463.9*0.8
Pasco3,8965,44071.6*1.2
Pinellas4,8526,84470.9*1.1
Polk5,2478,79659.7*1.0
Putnam40673954.9*3.6
Saint Johns1,7822,37475.1*1.7
Saint Lucie2,4013,52668.1*1.5
Santa Rosa1,5311,95078.5*1.8
Sarasota2,0752,79474.3*1.6
Seminole2,6004,37559.4*1.5
Sumter34253364.24.1
Suwannee23137761.34.9
Taylor13519569.2*6.5
Union9013367.77.9
Volusia2,8574,59862.11.4
Wakulla25231679.7*4.4
Walton65889573.5*2.9
Washington16724468.4*5.8
5/19/2024 12:14:56 AM

Data Note(s)


Data Source: Florida Department of Health, Bureau of Vital Statistics

  • 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.

  • 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 are available for at least 51 counties.

  • Population - Rates are calculated using July 1 population estimates from the Florida Legislature, Office of Economic and Demographic Research which have been allocated by race based on information from the US Bureau of the Census. The population data for 2011-2021, along with rates affected by the population data, was updated on FLHealthCHARTS in November 2017. It is customary to periodically revise population estimates based on new information, such as a census or new mid-course census estimates for prior years. Revising these estimates ensures accurate accounting of the racial, ethnic, and gender distribution of the population. These changes affect the population data and rates calculated for your community.

  • These data are only for pregnancies that end with a live birth.

  • 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.