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Showing results for "responses".

341. Statistical Brief #269: Diabetes Management: Tests and Treatments among the Adult U.S. Civilian Noninstitutionalized Population, 2007 (pdf file)
     meps.ahrq.gov/data_files/publications/st269/stat269.pdf
     November 01, 2009 - Individuals under age 65 were classified in the following three insurance categories, based on household responses

342. Sb269
     meps.ahrq.gov/data_files/publications/st269/sb269.xml
     November 01, 2009 - Individuals under age 65 were classified in the following three insurance categories, based on household responses

343. STATISTICAL BRIEF #451: Experiences with Health Care Providers among Cancer Survivors, U.S. Civilian Noninstitutionalized Population, 2011
     meps.ahrq.gov/data_files/publications/st451/stat451.shtml
     October 01, 2014 - Individuals under age 65 were classified in the following three insurance categories based on household responses

344. STATISTICAL BRIEF #454: Expenditures for Mental Health among Adults, Ages 18-64, 2009-2011: Estimates for the U.S. Civilian Noninstitutionalized Population
     meps.ahrq.gov/data_files/publications/st454/stat454.shtml
     October 01, 2014 - status Individuals were classified in the following three insurance categories based on household responses

345. Statistical Brief #105: Diabetes Management: Tests and Treatments among the 18 and Older U.S. Civilian Noninstitutionalized Population in 2003 (pdf file)
     meps.ahrq.gov/data_files/publications/st105/stat105.pdf
     December 01, 2005 - Individuals under age 65 were classified in the following three insurance categories, based on household responses

346. Methodology Report #4: Sample Design of the 1996 Medical Expenditure Panel Survey Nursing Home Component (pdf file)
     meps.ahrq.gov/data_files/publications/mr4/mr4.pdf
     September 01, 1998 - Methodology Report #4: Sample Design of the 1996 Medical Expenditure Panel Survey Nursing Home Component ��������� ��������� yyyyyzzzz {{{{{|||| Report 4 Sample Design of the 1996 Medical Expenditure Panel Survey Nursing Home Component Methodology Methodology U.S. Department of Health and Human Services Publ…

347. RESEARCH FINDINGS #50: Understanding Veterans' Healthcare Use and Experience, 2018–2019
     meps.ahrq.gov/data_files/publications/rf50/rf50.shtml
     November 01, 2022 - ages 18-64 were classified in the following three insurance categories based on household responses … and over were classified in the following three insurance categories based on household responses

348. Summary of Recommendations from Round 2 Cognitive Testing of the MEPS Cancer SAQ
     meps.ahrq.gov/survey_comp/hc_survey/2011/MEPS_Cancer_SAQ_R2_Results.shtml
     January 01, 2011 - Note: The following results and recommendations are based on the responses from the twelve respondents

349. Tablea
     meps.ahrq.gov/data_files/publications/rf19/tablea.txt
     July 01, 1998 - Table A. Standard errors for injury-related conditions and expensesÑPercent of population with conditions and percent of those incurring expenses: United States, 1997 Corresponds to Table 1 Population characteristic Percent with injury-related condition Percent with expensea Standard error Total 0.35 0.70 Age …

350. Table2
     meps.ahrq.gov/data_files/publications/rf19/table2.txt
     July 01, 1998 - Table 2. Total medical expensesa for injury-related conditions: United States, 1997 Injury-related total expenses Population characteristic Total in thousands Per capita Median Mean Total $57,878,383 $213 10.8 $241 $1,330 Age in years Under 16 3,487,397 55 7.7 152 467 16-24 7,994,397 239 25.6 239 1,508 2…

351. Statistical Brief #14: Trends in Access to Routine Care and Experiences with Care: 2001 (pdf file)
     meps.ahrq.gov/data_files/publications/st14/stat14.pdf
     January 01, 2001 - Statistical Brief #14: Trends in Access to Routine Care and Experiences with Care: 2001 Statistical Brief #14 Trends in Access to Routine Care and Experiences with Care: 2001 by Janet Greenblatt, MPH Introduction The quality of the health care received by Americans is an issue of public policy concern for…

352. Research Findings #24: Utilization and Expenditures for Children with Special Health Care Needs
     meps.ahrq.gov/data_files/publications/rf24/rf24.shtml
     January 01, 2006 - Children with positive responses to at least one of the five health domains along with all of the follow-up … Children (under age 18) were classified into the following three insurance categories based on household responses

353. COVID-19 Vaccination Prioritization Scenarios and Their Effects on Eligibility by Poverty Level, Race, and Ethnicity (pdf file)
     meps.ahrq.gov/data_files/publications/rf46/rf46.pdf
     December 10, 2020 - COVID-19 Vaccination Prioritization Scenarios and Their Effects on Eligibility by Poverty Level, Race, and Ethnicity March 2021 COVID-19 Vaccination Prioritization Scenarios and Their Effects on Eligibility by Poverty Level, Race, and Ethnicity Thomas M. Selden, PhD, Terceira A. Berdahl, PhD, and Zhengyi…

354. STATISTICAL BRIEF #17: Employer Sponsored Health Insurance for Full Time Employees and Retirees: 1998 and 2000
     meps.ahrq.gov/data_files/publications/st17/stat17.shtml
     January 01, 2003 - STATISTICAL BRIEF #17: Employer Sponsored Health Insurance for Full Time Employees and Retirees: 1998 and 2000   Skip to main content An official website of the Department of Health & Human Services More …

355. STATISTICAL BRIEF #17: Employer Sponsored Health Insurance for Full Time Employees and Retirees: 1998 and 2000
     meps.ahrq.gov/data_files/publications/st17/draft/stat17.shtml
     January 01, 2003 - STATISTICAL BRIEF #17: Employer Sponsored Health Insurance for Full Time Employees and Retirees: 1998 and 2000   Skip to main content An official website of the Department of Health & Human Services More …

356. Medical Expenditure Panel Survey Publication Details
     meps.ahrq.gov/mepsweb/data_stats/Pub_ProdResults_Details.jsp?pt=Methodology+Report&opt=2&id=1245
     January 18, 2019 - Medical Expenditure Panel Survey Publication Details   Skip to main content An official website of the Department of Health & Human Services More Back Search ahrq.gov Menu Search All AHRQ Sites Careers Contact Us Español FAQs Email Updates Font Size:   Search MEPS S M L XL   Publication Detail…

357. Table3
     meps.ahrq.gov/data_files/publications/rf19/table3.txt
     July 01, 1998 - Table 3. Ambulatory medical expensesa for injury-related conditions: United States, 1997 Injury-related ambulatory expenses Population characteristic Total in thousands Per capita Median Mean Total $29,677,277 $109 16.4 $234 $787 Age in years Under 16 2,494,470 39 13.3 154 366 16-24 3,175,994 95 26.4…

358. Table1
     meps.ahrq.gov/data_files/publications/rf19/table1.txt
     July 01, 1998 - Table 1. Injury-related conditions and expensesÑPercent of population with conditions and percent of those incurring expenses: United States, 1997 People with injury-related condition Population characteristic Total population in thousands Percent Percent with expensea Total 271,279 23.0 69.7 Age in years …

359. MEPSnet/HC Documentation for 2004 Full Year Data
     meps.ahrq.gov/data_stats/MEPSnet/mepsnet04doc.shtml
     December 31, 2004 - In general, there is one utilization variable (based on HC responses only), 13 expenditure variables … (derived from both HC and MPC responses), and 1 charge variable for each category of health … While these payments stem from apparent inconsistent responses to the health insurance and source … Pharmacy Component (more specifically, discrepancies between Medicare only household insurance responses

360. MEPSnet/HC Documentation for 2005 Full Year Data
     meps.ahrq.gov/data_stats/MEPSnet/mepsnet05doc.shtml
     December 31, 2005 - In general, there is one utilization variable (based on HC responses only), 13 expenditure variables … (derived from both HC and MPC responses), and 1 charge variable for each category of health … While these payments stem from apparent inconsistent responses to the health insurance and source … Pharmacy Component (more specifically, discrepancies between Medicare only household insurance responses