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Showing results for "factors".

  1. STATISTICAL BRIEF #22: Use of Mammography as a Cancer Screening Tool, 2001

    meps.ahrq.gov/data_files/publications/st22/draft/stat22.shtml
    January 01, 2003 - STATISTICAL BRIEF #22: Use of Mammography as a Cancer Screening Tool, 2001   Skip to main content An official website of the Department of Health & Human Services More Back …

  2. STATISTICAL BRIEF #34: The Prevalence of Obesity and Other Chronic Health Conditions among Diabetic Adults in the U.S. Community Population, 2001

    meps.ahrq.gov/data_files/publications/st34/draft/stat34.shtml
    January 01, 2004 - STATISTICAL BRIEF #34: The Prevalence of Obesity and Other Chronic Health Conditions among Diabetic Adults in the U.S. Community Population, 2001   Skip to main content An official website of the Department of Health & Human…

  3. Methodology Report #34: Sample Design of the 2020 Medical Expenditure Panel Survey Insurance Component

    meps.ahrq.gov/data_files/publications/mr34/mr34.shtml
    August 01, 2021 - imputed if it is missing or zero using annual payroll data, average quarterly wage factors … The weighting factors for the final allocation (.01 and .99) were determined based … selection are reduced to a level that minimizes response burden using adjustment factors

  4. Sample Design of the 2020 Medical Expenditure Panel Survey Insurance Component (pdf file)

    meps.ahrq.gov/data_files/publications/mr34/mr34.pdf
    August 01, 2021 - employment is imputed if it is missing or zero using annual payroll data, average 7 quarterly wage factors … The weighting factors for the final allocation (0.01 and 0.99) were determined based on an evaluation … probabilities of selection are reduced to a level that minimizes response burden using adjustment factors

  5. Sb11

    meps.ahrq.gov/data_files/publications/st11/sb11.xml
    June 08, 2021 - STATISTICAL BRIEF #11 2003 The Health Insurance Status of U.S. Workers, 2001: Estimates for U.S. Civilian Noninstitutionalized Workers Ages 16-64 By William Carroll, B.A. Briefly Stated: Workers with the following job characteristics were most likely to be uninsured: the self-employed, those work…

  6. Sb151

    meps.ahrq.gov/data_files/publications/st151/sb151.xml
    December 01, 2006 -

    Many factors can influence health care expenses in a particular State, including the demographic

  7. Statistical Brief #297: Estimates of Health Care Expenditures for the 10 Largest States, 2007 (pdf file)

    meps.ahrq.gov/data_files/publications/st297/stat297.pdf
    November 01, 2010 - Many factors can influence health care expenses in a particular state, including the demographic, socioeconomic

  8. Statistical Brief #351: Prescription Drug Expenditures in the 10 Largest States, 2008 (pdf file)

    meps.ahrq.gov/data_files/publications/st351/stat351.pdf
    December 01, 2011 - Many factors can influence prescription drug expenses in a particular state, including the demographic

  9. Chartbook #10: Changes in Job-Related Health Insurance, 1996-99 (pdf file)

    meps.ahrq.gov/data_files/publications/cb10/cb10.pdf
    July 01, 2002 - Many factors influence whether workers and their families obtain health coverage through their jobs. … These factors can vary depending on establishment characteristics such as size, industry, and type of … One of the most important factors determining the health insurance premium is the type of providers covered

  10. STATISTICAL BRIEF #124: The Persistence in the Level of Health Expenditures over Time: Estimates for the U.S. Population, 2002-2003

    meps.ahrq.gov/data_files/publications/st124/draft/stat124.shtml
    May 01, 2006 - examine the persistence of high levels of expenditures over time are essential to help discern the factors

  11. Statistical Brief #124: The Persistence in the Level of Health Expenditures over Time: Estimates for the U.S. Population, 2002–2003 (pdf file)

    meps.ahrq.gov/data_files/publications/st124/stat124.pdf
    May 01, 2006 - examine the per- sistence of high levels of expenditures over time are essential to help discern the factors

  12. STATISTICAL BRIEF #124: The Persistence in the Level of Health Expenditures over Time: Estimates for the U.S. Population, 2002-2003

    meps.ahrq.gov/data_files/publications/st124/stat124.shtml
    May 01, 2006 - examine the persistence of high levels of expenditures over time are essential to help discern the factors

  13. Sb124

    meps.ahrq.gov/data_files/publications/st124/sb124.xml
    May 01, 2006 - examine the persistence of high levels of expenditures over time are essential to help discern the factors

  14. Statistical Brief #383: Preventive Health Care Utilization by Adult Residents of MSAs and non-MSAs: Differences by Race/Ethnicity (pdf file)

    meps.ahrq.gov/data_files/publications/st383/stat383.pdf
    January 01, 2020 - live in counties with higher poverty rates, have less education, and are more likely to be uninsured—factors

  15. AHRQ Statistical Brief (pdf file)

    meps.ahrq.gov/data_files/publications/st517/stat517.pdf
    October 01, 2018 - Physician payment levels are influenced by factors such as complexity of services provided, length of

  16. Employer-Sim Microsimulation Model: Model Development and Application to Estimation of Tax Subsidies to Health Insurance (pdf file)

    meps.ahrq.gov/data_files/publications/workingpapers/wp_12003.pdf
    April 01, 2012 - marginal tax rates, while differences in subsidies per covered worker reflect only the latter two factors … in total employment and in the percentage of employees who were insured using separate adjustment factors … Employment growth factors are available with only a one month lag from the Bureau of Labor Statistics … .30 Factors to adjust the percentage of workers with single and non-single coverage and to inflate … Incidence might also reflect observable risk factors, such as age, sex, body mass index, and past utilization

  17. Comparison of Variance Estimates Using Random Group and Taylor Series Methods in MEPS-IC (pdf file)

    meps.ahrq.gov/data_stats/Comparison_of_Variance_MEPS-IC.pdf
    July 01, 2013 - Comparison of Variance Estimates Using Random Group and Taylor Series Methods in MEPS-IC Comparison of Variance Estimates Using Random Group and Taylor Series Methods in MEPS-IC Sadeq Chowdhury The variances of MEPS-IC estimates were computed using the random group (RG) variance estimation method through 2013. …

  18. STATISTICAL BRIEF #63: Family Health Care Expenses, by Size of Family, 2002

    meps.ahrq.gov/data_files/publications/st63/stat63.shtml
    January 01, 2005 - Many factors can influence the level of health care expenses for a family, including the size of the

  19. Sb63

    meps.ahrq.gov/data_files/publications/st63/sb63.xml
    January 01, 2005 -

    Many factors can influence the level of health care expenses for a family, including the

  20. Sb106

    meps.ahrq.gov/data_files/publications/st106/sb106.xml
    December 01, 2005 -

    Many factors can influence health care expenses in a particular State, including the demographic
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