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Total Results: 279 records

Showing results for "people".

  1. meps.ahrq.gov/data_files/publications/st289/stat289.pdf
    July 01, 2010 - Over 19.1 million people reported receiving treatment for back problems (figure 1).
  2. meps.ahrq.gov/data_files/publications/st37/stat37.pdf
    January 01, 2001 - People covered only by noncomprehensive state-specific programs (e.g., Maryland Kidney Disease Program
  3. meps.ahrq.gov/data_files/publications/st423/stat423.shtml
    September 01, 2013 - Uninsured: The uninsured were defined as people not covered by private hospital/physician insurance, … Within a household, all people related by blood, marriage, or adoption were considered to be a family
  4. meps.ahrq.gov/data_files/publications/st450/stat450.shtml
    September 01, 2014 - Uninsured: The uninsured were defined as people not covered by private hospital/physician insurance, … Within a household, all people related by blood, marriage, or adoption were considered to be a family
  5. meps.ahrq.gov/data_files/publications/st434/stat434.shtml
    April 01, 2014 - Spending and Service Use among People with the Fifteen Most Costly Medical Conditions, 1997 .
  6. meps.ahrq.gov/data_files/publications/st28/stat28.shtml
    January 01, 2003 - People covered only by non-comprehensive State-specific programs (e.g., Maryland Kidney Disease Program
  7. meps.ahrq.gov/data_files/publications/mr12/mr12.shtml
    June 01, 2001 - last conducted in 1987, many important changes have taken place in: the way people … How much do people pay out of pocket for health care services? … How many people have no health insurance at all? … In what ways does the health care received by people in cities differ from the care received … by people in rural areas?
  8. meps.ahrq.gov/data_files/publications/st539/stat539.shtml
    February 01, 2022 - Mental disorders affect people from all walks of life and all age groups.
  9. meps.ahrq.gov/data_files/publications/st173/stat173.pdf
    June 01, 2007 - - Uninsured: The uninsured were defined as people not covered by private hospital/physician insurance
  10. meps.ahrq.gov/data_files/publications/st73/stat73.pdf
    March 01, 2005 - Medical expenses for these people equaled or exceeded $11,487 during the year.
  11. meps.ahrq.gov/data_files/publications/st331/stat331.shtml
    July 01, 2011 - Spending and Service Use among People with the Fifteen Most Costly Medical Conditions, 1997 .
  12. meps.ahrq.gov/data_files/publications/st304/stat304.shtml
    December 01, 2010 - This represented a doubling of the number of people receiving treatment compared with 1996, when 9.1
  13. meps.ahrq.gov/data_files/publications/st284/stat284.shtml
    June 01, 2010 - Uninsured : The uninsured were defined as people not covered by private hospital/physician insurance,
  14. meps.ahrq.gov/data_files/publications/st101/stat101.pdf
    October 01, 2005 - – Uninsured: The uninsured were defined as people not covered by private hospital/physician insurance
  15. meps.ahrq.gov/data_files/publications/st507/stat507.shtml
    January 01, 2018 - However, single people who live with neither a relative nor a person identified as a "significant other
  16. meps.ahrq.gov/data_files/publications/st179/stat179.pdf
    July 01, 2007 - - Uninsured: The uninsured were defined as people not covered by private hospital/physician insurance
  17. meps.ahrq.gov/data_files/publications/st472/stat472.shtml
    April 01, 2015 - Spending and Service Use among People with the Fifteen Most Costly Medical Conditions, 1997.
  18. meps.ahrq.gov/data_files/publications/st387/stat387.shtml
    September 01, 2012 - People in other regions of the country had lower rates of treatment for trauma-related disorders—the
  19. meps.ahrq.gov/data_files/publications/st514/stat514.shtml
    August 01, 2018 - Uninsured : The uninsured were defined as people not covered by private hospital/physician insurance,
  20. meps.ahrq.gov/data_files/publications/st528/stat528.pdf
    February 01, 2020 - In the case of ties, where two or more people had the same expenditures close to a percentile cut point

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