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• W2578057441 abstract "ObjectiveThe purpose of this study is to characterize the demographic determinants of availability and utilization of IVF in the United States.DesignDemographic data analysisMaterials and methodsIVF utilization was defined as the number of IVF cycles/100,000 people and IVF availability was defined as the number of IVF clinics/100,000 people. The demographic data for each state was collected from public data available through the U.S. Census Bureau and the Centers for Disease Control. The data was extracted using the DataFerrett software (Federated Electronic Research, Review, Extract, and Tabulation Tool) Version 1.3.3. The datasets used were: 1-The decennial census of population and housing (2000) for “total population”, “population density”, “household income”, “% rural household” and racial (Caucasian, African American) distribution data 2-The survey of income and program participation (2004 panel) for “health insurance” data 3- The current population survey (1998-2004) for “number of children in household” data. 4- IVF and infertility coverage information was extracted from the ASRM web site. 5- The SART public web site was used to collect the 2003 data on numbers of IVF clinics and cycles in the United States, non participating clinics were contact directly.ResultsIn 2003, 1,239,70 IVF cycles were performed by 403 IVF clinics in the USA. This translated into a mean utilization rate of 44 IVF cycles per 100,000 people. The IVF availability in each state was positively correlated to population density (r=0.82, p<0.001), % African American(r= 0.39, p=0.003), % households with no children (r=0.67, p=0.001) and correlated negatively with % rural households (r=-0.44, p=0.001) and % Caucasian (r=-0.45, p < 0.001). A stepwise logistic regression model showed that population density was the strongest predictor of IVF availability. The IVF utilization in each state correlated positively to IVF availability (0.65, p < 0.001), population density (r=0.55, p<0.001), median household income (r=0.55, p<0.001), % of households with no children (r=0.61, p< 0.001), % of households with private insurance (r=0.06, p=0.006), infertility coverage (r=0.51, p<0.001), IVF coverage(r=0.41,p=0.001) and correlated negatively with % rural households (r=-0.60, p< 0.001) and % Caucasian (r=-0.25, p = 0.043). A stepwise logistic regression model showed that IVF availability, total population count, infertility coverage and median household income were the strongest predictors of IVF utilization. Figure 1 show the extent of correlation between IVF availability and IVF utilization.ConclusionIn a particular state, IVF utilization is mainly determined by the IVF availability, total population count, infertility coverage and median household income. ObjectiveThe purpose of this study is to characterize the demographic determinants of availability and utilization of IVF in the United States. The purpose of this study is to characterize the demographic determinants of availability and utilization of IVF in the United States. DesignDemographic data analysis Demographic data analysis Materials and methodsIVF utilization was defined as the number of IVF cycles/100,000 people and IVF availability was defined as the number of IVF clinics/100,000 people. The demographic data for each state was collected from public data available through the U.S. Census Bureau and the Centers for Disease Control. The data was extracted using the DataFerrett software (Federated Electronic Research, Review, Extract, and Tabulation Tool) Version 1.3.3. The datasets used were: 1-The decennial census of population and housing (2000) for “total population”, “population density”, “household income”, “% rural household” and racial (Caucasian, African American) distribution data 2-The survey of income and program participation (2004 panel) for “health insurance” data 3- The current population survey (1998-2004) for “number of children in household” data. 4- IVF and infertility coverage information was extracted from the ASRM web site. 5- The SART public web site was used to collect the 2003 data on numbers of IVF clinics and cycles in the United States, non participating clinics were contact directly. IVF utilization was defined as the number of IVF cycles/100,000 people and IVF availability was defined as the number of IVF clinics/100,000 people. The demographic data for each state was collected from public data available through the U.S. Census Bureau and the Centers for Disease Control. The data was extracted using the DataFerrett software (Federated Electronic Research, Review, Extract, and Tabulation Tool) Version 1.3.3. The datasets used were: 1-The decennial census of population and housing (2000) for “total population”, “population density”, “household income”, “% rural household” and racial (Caucasian, African American) distribution data 2-The survey of income and program participation (2004 panel) for “health insurance” data 3- The current population survey (1998-2004) for “number of children in household” data. 4- IVF and infertility coverage information was extracted from the ASRM web site. 5- The SART public web site was used to collect the 2003 data on numbers of IVF clinics and cycles in the United States, non participating clinics were contact directly. ResultsIn 2003, 1,239,70 IVF cycles were performed by 403 IVF clinics in the USA. This translated into a mean utilization rate of 44 IVF cycles per 100,000 people. The IVF availability in each state was positively correlated to population density (r=0.82, p<0.001), % African American(r= 0.39, p=0.003), % households with no children (r=0.67, p=0.001) and correlated negatively with % rural households (r=-0.44, p=0.001) and % Caucasian (r=-0.45, p < 0.001). A stepwise logistic regression model showed that population density was the strongest predictor of IVF availability. The IVF utilization in each state correlated positively to IVF availability (0.65, p < 0.001), population density (r=0.55, p<0.001), median household income (r=0.55, p<0.001), % of households with no children (r=0.61, p< 0.001), % of households with private insurance (r=0.06, p=0.006), infertility coverage (r=0.51, p<0.001), IVF coverage(r=0.41,p=0.001) and correlated negatively with % rural households (r=-0.60, p< 0.001) and % Caucasian (r=-0.25, p = 0.043). A stepwise logistic regression model showed that IVF availability, total population count, infertility coverage and median household income were the strongest predictors of IVF utilization. Figure 1 show the extent of correlation between IVF availability and IVF utilization. In 2003, 1,239,70 IVF cycles were performed by 403 IVF clinics in the USA. This translated into a mean utilization rate of 44 IVF cycles per 100,000 people. The IVF availability in each state was positively correlated to population density (r=0.82, p<0.001), % African American(r= 0.39, p=0.003), % households with no children (r=0.67, p=0.001) and correlated negatively with % rural households (r=-0.44, p=0.001) and % Caucasian (r=-0.45, p < 0.001). A stepwise logistic regression model showed that population density was the strongest predictor of IVF availability. The IVF utilization in each state correlated positively to IVF availability (0.65, p < 0.001), population density (r=0.55, p<0.001), median household income (r=0.55, p<0.001), % of households with no children (r=0.61, p< 0.001), % of households with private insurance (r=0.06, p=0.006), infertility coverage (r=0.51, p<0.001), IVF coverage(r=0.41,p=0.001) and correlated negatively with % rural households (r=-0.60, p< 0.001) and % Caucasian (r=-0.25, p = 0.043). A stepwise logistic regression model showed that IVF availability, total population count, infertility coverage and median household income were the strongest predictors of IVF utilization. Figure 1 show the extent of correlation between IVF availability and IVF utilization. ConclusionIn a particular state, IVF utilization is mainly determined by the IVF availability, total population count, infertility coverage and median household income. In a particular state, IVF utilization is mainly determined by the IVF availability, total population count, infertility coverage and median household income." @default.
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