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Showing results for "estimates".

321. STATISTICAL BRIEF #44: Health Insurance Status of Children in America, 1996-2003: Estimates for the U.S. Population under Age 18
     meps.ahrq.gov/data_files/publications/st44/draft/stat44.shtml
     July 01, 2004 - STATISTICAL BRIEF #44: Health Insurance Status of Children in America, 1996-2003: Estimates for the … Estimates are presented from the first half of calendar years 1996 through 2003. … All differences between estimates discussed in the text are statistically significant at the 0.05 level … Data Source The estimates shown in this Statistical Brief are drawn from analyses conducted by the MEPS … Health Insurance Status of Children in America, 1996-2003: Estimates for the U.S.

322. Research Findings #19: Health Care Expenses for Injuries: Estimates from the 1997 MEPS (pdf file)
     meps.ahrq.gov/data_files/publications/rf19/rf19.pdf
     January 01, 2010 - Research Findings #19: Health Care Expenses for Injuries: Estimates from the 1997 MEPS ���������� … This report gives estimates of injury-related expenses for inpatient hospital services and ambulatory … Health care expenses for injuries: estimates from the 1997 MEPS. … The estimates of total expenditures in Tables 1-4 are based on 32,636 sample persons. … The standard errors for the estimates in this report are shown in Tables A-F.

323. Statistical Brief #392: The Concentration and Persistence in the Level of Health Expenditures over Time: Estimates for the U.S. Population, 2009-2010 (pdf file)
     meps.ahrq.gov/data_files/publications/st392/stat392.pdf
     November 01, 2012 - Statistical Brief #392: The Concentration and Persistence in the Level of Health Expenditures over Time: Estimates … #392 November 2012 The Concentration and Persistence in the Level of Health Expenditures over Time: Estimates … Cohen, PhD Introduction Estimates of health care expenses for the U.S. civilian noninstitutionalized … All differences between estimates discussed in the text are statistically significant at the 0.05 level … The Persistence in the Level of Health Expenditures over Time: Estimates for the U. S.

324. Statistical Brief #309: The Concentration and Persistence in the Level of Health Expenditures over Time: Estimates for the U.S. Population, 2007-2008 (pdf file)
     meps.ahrq.gov/data_files/publications/st309/stat309.pdf
     December 01, 2010 - Statistical Brief #309: The Concentration and Persistence in the Level of Health Expenditures over Time: Estimates … #309 December 2010 The Concentration and Persistence in the Level of Health Expenditures over Time: Estimates … of the Medical Expenditure Panel Survey (MEPS-HC) for 2007 and 2008, this report provides detailed estimates … All differences between estimates discussed in the text are statistically significant at the 0.05 level … The Persistence in the Level of Health Expenditures over Time: Estimates for the U.S.

325. Income Measurement in the Medical Expenditure Panel Survey (pdf file)
     meps.ahrq.gov/data_files/publications/workingpapers/wp_06005.pdf
     July 01, 2006 - Estimates of financial burdens as a function of family income will also be biased upwards if income … We show how estimates of financial burden based on disposable income differ significantly from estimates … MEPS estimates more elderly living at 400 percent or higher than the CPS (32.7 vs. 26.3). … The income distribution of this population is a key part of every analysis of the new estimates. … The MEPS supports a simulation model that estimates tax payments and marginal tax rates.

326. Statistical Brief#278: The Concentration and Persistence in the Level of Health Expenditures over Time: Estimates for the U.S. Population, 2006-2007 (pdf file)
     meps.ahrq.gov/data_files/publications/st278/stat278.pdf
     March 01, 2010 - Statistical Brief#278: The Concentration and Persistence in the Level of Health Expenditures over Time: Estimates … #278 March 2010 The Concentration and Persistence in the Level of Health Expenditures over Time: Estimates … Cohen, PhD and William Yu, MA Introduction Estimates of the health care expenses of the U.S. civilian … All differences between estimates discussed in the text are statistically significant at the 0.05 level … The Persistence in the Level of Health Expenditures over Time: Estimates for the U.S.

327. Microsoft Word - RF36_front (pdf file)
     meps.ahrq.gov/data_files/publications/rf36/rf36.pdf
     August 01, 2017 - Microsoft Word - RF36_front Uninsurance and Insurance Transitions, 2012–2013 through 2014–2015: Estimates … Uninsurance and Insurance Transitions, 2012–2013 through 2014–2015: Estimates for U.S., Non-Elderly … The Uninsured in America, First Part of 2013: Estimates for the U.S. … The Long-Term Uninsured in America, 2008–2011 (Selected Intervals): Estimates for the U.S. … The Uninsured in America, First Part of 2012: Estimates for the U.S.

328. STATISTICAL BRIEF #80: The Five Most Costly Medical Conditions, 1997 and 2002: Estimates for the U.S. Civilian Noninstitutionalized Population
     meps.ahrq.gov/data_files/publications/st80/stat80.shtml
     May 01, 2005 - STATISTICAL BRIEF #80: The Five Most Costly Medical Conditions, 1997 and 2002: Estimates for the … Only differences between estimates that are statistically significant at the 0.05 level are discussed … (figure 4) Data Source The estimates shown in this Statistical Brief are drawn from analyses … Expenditure estimates for 1997 were inflated to 2002 dollars using the medical consumer price index ( … The Five Most Costly Medical Conditions, 1997 and 2002: Estimates for the U.S.

329. STATISTICAL BRIEF #80: The Five Most Costly Medical Conditions, 1997 and 2002: Estimates for the U.S. Civilian Noninstitutionalized Population
     meps.ahrq.gov/data_files/publications/st80/draft/stat80.shtml
     May 01, 2005 - STATISTICAL BRIEF #80: The Five Most Costly Medical Conditions, 1997 and 2002: Estimates for the … Only differences between estimates that are statistically significant at the 0.05 level are discussed … (figure 4) Data Source The estimates shown in this Statistical Brief are drawn from analyses … Expenditure estimates for 1997 were inflated to 2002 dollars using the medical consumer price index ( … The Five Most Costly Medical Conditions, 1997 and 2002: Estimates for the U.S.

330. Statistical Brief #80: The Five Most Costly Medical Conditions, 1997 and 2002: Estimates for the U.S. Civilian Noninstitutionalized Population (pdf file)
     meps.ahrq.gov/data_files/publications/st80/stat80.pdf
     May 01, 2005 - Statistical Brief #80: The Five Most Costly Medical Conditions, 1997 and 2002: Estimates for the U.S. … Quality STATISTICAL BRIEF #80 May 2005 The Five Most Costly Medical Conditions, 1997 and 2002: Estimates … Only differences between estimates that are statistically significant at the 0.05 level are discussed … Expenditure estimates for 1997 were inflated to 2002 dollars using the medical consumer price index … The Five Most Costly Medical Conditions, 1997 and 2002: Estimates for the U.S.

331. Statistical Brief #457: National Health Carte Expenses Per Permson in the U.S. Civilian Noninstitututionalized Populaiton, 2012 (pdf file)
     meps.ahrq.gov/data_files/publications/st457/stat457.pdf
     November 01, 2014 - Stagnitti, MPA Introduction This Statistical Brief presents estimates of the percentage of persons with … Expense estimates include amounts paid by individuals, private insurance, Medicare, Medicaid, and other … All differences between estimates discussed in the text are statistically significant at the 0.05 level … Data Source The estimates in this Statistical Brief are based upon data from the MEPS: HC-155: 2012 Full … Office-based physician care estimates use a mix of HC and MPC data, while estimates for non-physician

332. Statistical Brief #473: Behavioral Medication Utilization in Children and Teenagers Ages 5-18 in the U.S. Civilian Noninstitutionalized Population, 2012 (pdf file)
     meps.ahrq.gov/data_files/publications/st473/stat473.pdf
     June 01, 2015 - Stagnitti, MPA Introduction This Statistical Brief presents 2012 estimates of the percentage of children … All differences between estimates discussed in the text are statistically significant at the 0.05 level … Data Source The estimates in this Statistical Brief are based upon data from the MEPS 2012 Full Year … Office-based physician care estimates use a mix of HC and MPC data while estimates for non-physician … 5 10 Pe rc en ta ge White non-Hispanic Black non-Hispanic Hispanic Other non-Hispanic Note: Estimates

333. STATISTICAL BRIEF #473: Behavioral Medication Utilization in Children and Teenagers Ages 5-18 in the U.S. Civilian Noninstitutionalized Population, 2012
     meps.ahrq.gov/data_files/publications/st473/stat473.shtml
     June 01, 2015 - Introduction This Statistical Brief presents 2012 estimates of the percentage of children and teenagers … All differences between estimates discussed in the text are statistically significant at the 0.05 level … Data Source The estimates in this Statistical Brief are based upon data from the MEPS 2012 Full Year … Office-based physician care estimates use a mix of HC and MPC data while estimates for non-physician … by insurance status, 2012 Any private Public only Uninsured 4.0% 4.9% 1.0% Note: Estimates

334. STATISTICAL BRIEF #457: National Health Care Expenses Per Person in the U.S. Civilian Noninstitutionalized Population, 2012
     meps.ahrq.gov/data_files/publications/st457/stat457.shtml
     November 01, 2014 - Introduction This Statistical Brief presents estimates of the percentage of persons with a health … Office-based physician care estimates use a mix of HC and MPC data, while estimates for non-physician … Note: Estimates are for the U.S. civilian noninstitutionalized population. … Note: Estimates are for the U.S. civilian noninstitutionalized population. … Note: Estimates are for the U.S. civilian noninstitutionalized population.

335. Wp 11003 (pdf file)
     meps.ahrq.gov/data_files/publications/wp_11003.pdf
     January 01, 2018 - of the impact of changes in financing, coverage, and reimbursement policy, as well as estimates of … Estimates can be provided for individuals, families and population subgroups of interest. … • MEPS data produced detailed estimates of children eligible for S-CHIP who were uninsured. … These estimates were derived from the MEPS—Insurance Component private coverage data. … These estimates were also derived from the MEPS—Insurance Component private coverage data.

336. Working Paper #11003: The Capacity of MEPS to Inform Provisions of the Patient Protection and Affordable Care Act (pdf file)
     meps.ahrq.gov/data_files/publications/workingpapers/wp_11003.pdf
     January 01, 2018 - of the impact of changes in financing, coverage, and reimbursement policy, as well as estimates of … Estimates can be provided for individuals, families and population subgroups of interest. … • MEPS data produced detailed estimates of children eligible for S-CHIP who were uninsured. … These estimates were derived from the MEPS—Insurance Component private coverage data. … These estimates were also derived from the MEPS—Insurance Component private coverage data.

337. Statistical Brief #140: The Long-Term Uninsured in America, 2003 to 2004: Estimates for the U.S. Population under Age 65 (pdf file)
     meps.ahrq.gov/data_files/publications/st140/stat140.pdf
     September 01, 2006 - Statistical Brief #140: The Long-Term Uninsured in America, 2003 to 2004: Estimates for the U.S. … Survey Agen Res 0 September 2006 The Long-Term Uninsured in America, 2003 to 2004: Estimates … All differences between estimates discussed in the text are statistically significant at the 0.05 level … Data Source The estimates shown in this Statistical Brief are drawn from analyses conducted by the … The Long-Term Uninsured in America, 2003 to 2004: Estimates for the U.S. Population under Age 65.

338. AHRQ Statistical Brief #472: Top Five Most Costly Conditions among Children, Ages 0-17, 2012: Estimates for the U.S. Civilian Noninstitutionalized Population (pdf file)
     meps.ahrq.gov/data_files/publications/st472/stat472.pdf
     April 01, 2015 - AHRQ Statistical Brief #472: Top Five Most Costly Conditions among Children, Ages 0-17, 2012: Estimates … STATISTICAL BRIEF #472 April 2015 Top Five Most Costly Conditions among Children, Ages 0-17, 2012: Estimates … Only differences between estimates that are statistically significant at the 0.05 level are discussed … Data Source The estimates shown in this Statistical Brief are based on data from the MEPS 2012 Full Year … Top Five Most Costly Conditions among Children, Ages 0–17, 2012: Estimates for the U.S.

339. Statistical Brief #407: Trends in Utilization and Expenditures of Prescribed Drugs Treating Diabetes, Hypertension, and High Cholesterol for Persons under Age 40 in the U.S. Civilian Noninstitutionalized Population, 2000 and 2010 (pdf file)
     meps.ahrq.gov/data_files/publications/st407/stat407.pdf
     June 01, 2013 - The estimates are derived from the 2000 and 2010 Household Component of the Medical Expenditure Panel … Only prescriptions purchased or obtained in an outpatient setting are included in these estimates. … Expenditure estimates are presented in real dollars; estimates for 2000 were inflated to 2010 dollars … Refills as well as original prescriptions are included in expenditure and utilization estimates. … Office based physician care estimates use a mix of HC and MPC data while estimates for non- physician

340. Statistical Brief #430: Trends in Antidepressant Utilization and Expenditures in the U.S. Civilian Noninstitutionalized Population by Age, 2000 and 2010 (pdf file)
     meps.ahrq.gov/data_files/publications/st430/stat430.pdf
     February 01, 2014 - The estimates are derived from the 2000 and 2010 Household Component of the Medical Expenditure Panel … Only prescriptions purchased or obtained in an outpatient setting are included in these estimates. … Expenditure estimates are presented in real dollars; estimates for 2000 were inflated to 2010 dollars … Refills as well as original prescriptions are included in expenditure and utilization estimates. … Office based physician care estimates use a mix of HC and MPC data while estimates for non-physician