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additional information have averaged 165 fatal occupational injuries per year, or less than 4% of the annual total. Beginning with 2003 data, CFOI began using the 2002 North American Industry Classification System (NAICS). Starting with 2009 data, CFOI began using the 2007 NAICS to classify industries. In Health, United States, industry data are presented at the two-digit level. Most of the differences between the 2002 and 2007 NAICS are at a more detailed level. Therefore, the adoption of the 2007 NAICS for CFOI is unlikely to affect the trend presented in Health, United States. (See Appendix II, Industry of employment.) Reference Bureau of Labor Statistics. Revisions to the 2012 Census of Fatal Occupational Injuries (CFOI) counts. Washington, DC: U.S. Department of Labor; 2014. Available from: http://www.bls.gov/iif/oshwc/cfoi/cfoi_revised12.pdf. For More Information. See the CFOI website at: http://www.bls.gov/iif/oshcfoi1.htm and the CFOI section of the BLS Handbook of Methods at: http://www.bls.gov/ opub/hom/pdf/homch9.pdf. Current Population Survey (CPS) Bureau of Labor Statistics (BLS) and U.S. Census Bureau Overview. CPS provides current estimates and trends in employment, unemployment, poverty, and other characteristics of the general labor force, the population as a whole, and various population subgroups. Coverage. The Census 2000-based basic CPS sample was introduced in April 2004, and implementation was completed by July 2005 with coverage in every state and D.C. For CPS labor force data, the adult universe (i.e., the population of marriageable age) is composed of persons aged 15 and over in the civilian noninstitutionalized population. The sample for the March CPS supplement was expanded to include members of the Armed Forces who are living in a household with at least one civilian adult, as well as additional Hispanic households that are not included in the monthly labor force estimates. Methodology. The CPS interview is divided into three basic parts: (a) household and demographic information, (b) labor force information, and (c) supplement information for months that include supplements. Comprehensive work experience information is gathered on the employment status, occupation, and industry of persons interviewed. Estimates of poverty presented in Health, United States from CPS are derived from the Annual Social and Economic Supplement (ASEC), formerly called the Annual Demographic Supplement (ADS) and commonly called the March Supplement. ASEC collects data on family characteristics, household composition, marital status, migration, income from all sources, weeks worked, time spent looking for work or on layoff from a job, occupation and industry classification of the job held for the longest during the year, and receipt of noncash benefits (such as food stamps, school lunch program, employer-provided group health insurance plan, personal health insurance, Medicaid, Medicare, Tricare or military health care, and energy assistance). The basic CPS sample is selected from multiple frames using multiple stages of selection. Each unit is selected with a known probability to represent similar units in the universe. The sample design is state-based, with the sample in each state being independent of the others. One person generally responds for all eligible members of a household. The additional Hispanic sample is from the previous November's basic CPS sample. If a person is identified as being of Hispanic origin from the November interview and is still residing at the same address in March, that housing unit is eligible for the March survey. This amounts to a neardoubling of the Hispanic sample because there is no overlap of housing units between the basic CPS samples in November and March. The final CPS sample weight is the product of the basic weight, the adjustments for special weighting, the noninterview adjustment, the first-stage ratio adjustment factor, and the second-stage ratio adjustment factor. This final weight should be used when producing estimates from the basic CPS data. Differences in the questionnaire, sample, and data uses for the March CPS supplement result in the need for additional adjustment procedures to produce what is called the March Supplement weight. Sample Size and Response Rate. Beginning with 2001, the Children’s Health Insurance Program (CHIP) sample expansion was introduced. This included an increase in the basic CPS sample to 60,000 households per month. Prior to 2001, estimates were based on 50,000 households per month. The expansion also included an additional 12,000 households that were allocated differentially across states, based on prior information of the number of uninsured children in each state, to produce statistically reliable current state data on the number of low-income children who do not have health insurance coverage. In an average month, the nonresponse rate for the basic CPS is about 7%–8%. Issues Affecting Interpretation. Over the years, the number of income questions has expanded, questions on work experience and other characteristics have been added, and the month of interview was moved to March. In 2002, an ASEC sample increase was implemented, requiring more time for data collection. Thus, additional ASEC interviews are now taking place in February and April. However, even with this sample increase, most of the data collection still occurs in March. In 1994, major changes were introduced that included a complete redesign of the questionnaire and the introduction of computer-assisted interviewing for the 360 Appendix I. Data Sources Health, United States, 2014
entire survey. In addition, some of the labor force concepts and definitions were revised. Prior to the redesign, CPS data were primarily collected using a paper-and-pencil form. Beginning in 1994, population controls were based on the 1990 census and adjusted for the estimated population undercount. Starting with Health, United States, 2003, poverty estimates for data years 2000 and beyond were recalculated based on the expanded CHIP sample, and Census 2000-based population controls were implemented. Starting with 2002 data, race-specific estimates are tabulated according to the 1997 Revisions to the Standards for the Classification of Federal Data on Race and Ethnicity and are not strictly comparable with estimates for earlier years. Starting with Health, United States, 2012, Census 2010-based population controls were implemented for poverty estimates for 2010 and beyond. For a discussion of the impact of the implementation of the Census 2010-based controls on poverty estimate trends, see: DeNavas-Walt, Proctor, and Smith (2012). For 2013 data, the CPS ASEC used a split panel to test a new set of income questions. Data for 2013 presented in this report are consistent with 2012 and do not include the redesigned income questions. References U.S. Census Bureau. Current Population Survey: Design and methodology. Technical paper no 66. Washington, DC: U.S. Census Bureau; 2006. Available from: http://www.census.gov/prod/2006pubs/tp-66.pdf. DeNavas-Walt C, Proctor BD, Smith JC. Income, poverty, and health insurance coverage in the United States: 2012. Current Population Reports, P–60–245. Washington, DC: U.S. Government Printing Office; 2013. Available from: http://www.census.gov/prod/2013pubs/ p60-245.pdf. DeNavas-Walt C, Proctor BD. Income and poverty in the United States: 2013. Current Population Reports, P–60–249. Washington, DC: U.S. Government Printing Office; 2014. Available from: http://www.census.gov/ content/dam/Census/library/publications/2014/demo/ p60-249.pdf. For More Information. See the CPS website at: http://www.census.gov/cps. Department of Veterans Affairs National Enrollment and Patient Databases Department of Veterans Affairs (VA) Overview. The VA compiles and analyzes multiple data sets on the health and health care of its clients and other veterans to monitor access and quality of care and to conduct program and policy evaluations. The VA maintains nationwide systems that contain a statistical record for each episode of care provided under VA auspices, in VA and non-VA hospitals, nursing homes, VA residential rehabilitation treatment programs (formerly called domiciliaries), and VA outpatient clinics. The VA also maintains enrollment information for each veteran enrolled in the VA health care system. Coverage. U.S. veterans who receive services within the VA medical system are included. Data are available for some nonveterans who receive care at VA facilities. Methodology. Encounter data from VA clinical information systems are collected locally at each VA medical center and transmitted electronically to the VA's Austin Automation Center for use in providing nationwide statistics, reports, and comparisons. Issues Affecting Interpretation. The databases include users of the VA health care system. VA eligibility is a hierarchy based on service-connected disabilities, income, age, and availability of services. Therefore, different VA programs may serve populations with different sociodemographic characteristics than those served by other health care systems. For More Information. See the VA Information Resource Center website at: http://www.virec.research.va.gov/ Index.asp. Employee Benefits Survey—See Appendix I, National Compensation Survey (NCS). Healthcare Cost and Utilization Project (HCUP), National (Nationwide) Inpatient Sample Agency for Healthcare Research and Quality (AHRQ) Overview. HCUP is a family of health care databases and related software tools developed through a federal-stateindustry partnership to build a multistate health data system for health care research and decision making. The National (Nationwide) Inpatient Sample (HCUP–NIS), a component of HCUP, is the largest all-payer inpatient care database that is publicly available in the United States. HCUP–NIS contains a core set of clinical and nonclinical information found in a typical discharge abstract, including all-listed diagnoses and procedures, discharge status, patient demographics, and charges for all patients regardless of payer (e.g., persons covered by Medicare, Medicaid, and private insurance, as well as those without insurance coverage). Coverage. HCUP–NIS for 2012 covers community hospital discharges (excluding discharges from rehabilitation or long-term acute hospitals) from 44 states, which contain about 94% of all U.S. community hospital discharges. Health, United States, 2014 Appendix I. Data Sources 361
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Copyright information Permission ha
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Preface Health, United States, 2014
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Accessing Health, United States Hea
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Contents
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Trend Tables Health Status and Dete
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Figure 28. Prescription drug use in
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List of Trend Tables Health Status
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Table 64. Healthy weight, overweigh
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State Health Expenditures and Healt
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Health, United States, 2014: At a G
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Highlights This section presents se
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Use of Preventive Medical Care Serv
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Chartbook: Figures 1-19
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Mortality Selected Causes of Death
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Disability Measures Basic Actions D
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Health Risk Factors Overweight and
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Health Insurance Coverage Among Adu
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Personal Health Care Expenditures M
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Special Feature on Adults Aged 55-6
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Health, United States, 2014: Profil
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Selected Chronic Conditions For adu
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Current Cigarette Smoking In 2012-2
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Health Insurance Coverage For adult
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Use of Preventive Services and Scre
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Delay or Nonreceipt of Medical Care
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Data table for Figure 20. Death rat
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Data table for Figure 22. Serious o
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Data table for Figure 24. Participa
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Data table for Figure 26. Health ca
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Data table for Figure 28. Prescript
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Technical Notes Data Sources and Co
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26. Martinez ME, Cohen RA. Health i
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83. CDC. Vaccine recommendations of
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Table 1 (page 1 of 3). Resident pop
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Table 1 (page 3 of 3). Resident pop
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Table 2 (page 2 of 2). Persons belo
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Table 3 (page 2 of 3). Crude birth
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Table 4 (page 1 of 2). Teenage chil
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Table 5. Nonmarital childbearing, b
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Table 7 (page 1 of 3). Low birthwei
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Table 7 (page 3 of 3). Low birthwei
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Table 9 (page 1 of 6). Contraceptiv
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Table 10. Breastfeeding among mothe
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Table 11 (page 2 of 2). Infant, neo
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Table 13 (page 1 of 3). Infant mort
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Table 13 (page 3 of 3). Infant mort
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Table 15 (page 1 of 2). Life expect
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Table 16 (page 1 of 2). Life expect
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Table 17 (page 1 of 2). Age-adjuste
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Table 19 (page 1 of 4). Years of po
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Table 19 (page 3 of 4). Years of po
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Table 20 (page 1 of 4). Leading cau
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Table 23 (page 2 of 4). Death rates
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Table 36 (page 1 of 2). Occupationa
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Table 37 (page 1 of 2). Selected no
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Table 38 (page 1 of 2). Human immun
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Table 39 (page 1 of 5). Health cond
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Table 42 (page 1 of 2). Respondent-
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Table 43 (page 1 of 2). Number of r
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Table 44 (page 1 of 2). Diabetes pr
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Table 45 (page 1 of 2). End-stage r
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Table 46 (page 1 of 3). Severe head
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Table 46 (page 3 of 3). Severe head
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Table 47 (page 2 of 2). Disability
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Table 48 (page 2 of 2). Vision limi
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Table 49 (page 2 of 2). Hearing lim
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Table 50 (page 2 of 2). Respondent-
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Table 51 (page 2 of 2). Serious psy
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Table 52 (page 2 of 2). Current cig
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Table 55 (page 2 of 2). Use of sele
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Table 56 (page 2 of 3). Use of sele
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Table 57 (page 1 of 3). Health risk
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Table 57 (page 3 of 3). Health risk
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Table 58 (page 2 of 3). Heavier dri
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Table 59 (page 1 of 2). Selected he
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Table 60 (page 1 of 2). Hypertensio
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Table 61 (page 1 of 4). Cholesterol
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Table 61 (page 3 of 4). Cholesterol
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Table 62 (page 1 of 2). Mean macron
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Table 63 (page 1 of 5). Participati
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Table 64 (page 2 of 7). Healthy wei
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Table 65 (page 1 of 2). Obesity amo
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Table 66 (page 1 of 2). Untreated d
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Table 67 (page 1 of 2). No usual so
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Table 68 (page 1 of 2). No usual so
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Table 69 (page 1 of 3). Delay or no
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Table 69 (page 3 of 3). Delay or no
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Table 70 (page 2 of 2). No health c
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Table 71 (page 2 of 3). Health care
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Table 72 (page 1 of 3). Vaccination
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Table 72 (page 3 of 3). Vaccination
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Table 74 (page 1 of 2). Influenza v
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Table 75 (page 1 of 2). Pneumococca
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Table 76 (page 1 of 3) . Use of mam
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Table 76 (page 3 of 3). Use of mamm
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Table 77 (page 2 of 5). Use of Pap
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Table 77 (page 4 of 5). Use of Pap
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Table 78 (page 1 of 2). Use of colo
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Table 79 (page 1 of 4). Emergency d
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Table 81 (page 2 of 2). Initial inj
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Table 82 (page 2 of 3). Visits to p
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Table 83 (page 1 of 2). Visits to p
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Table 84 (page 1 of 2) . Dental vis
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Table 85 (page 1 of 2). Prescriptio
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Table 86 (page 1 of 3). Selected pr
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Table 86 (page 3 of 3). Selected pr
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Table 87 (page 2 of 4). Persons wit
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Table 87 (page 4 of 4). Persons wit
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Table 88 (page 2 of 3). Discharges,
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Table 89 (page 1 of 3). Discharge r
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Table 89 (page 3 of 3). Discharge r
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Table 90 (page 2 of 4). Discharges
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Table 90 (page 4 of 4). Discharges
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Table 92. Active physicians and phy
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Table 94. Doctors of medicine in pr
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Table 96. Healthcare employment and
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Table 98. Hospitals, beds, and occu
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Table 100. Occupancy rates in commu
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Table 101 (page 2 of 2). Nursing ho
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Table 102 (page 2 of 2). Gross dome
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Table 103 (page 2 of 2). National h
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Page 363 and 364: Table 123 (page 1 of 3). Persons un
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Page 367 and 368: Appendix Contents Appendix I. Data
Page 369 and 370: Mammography .......................
Page 371 and 372: Appendix I. Data Sources Health, Un
Page 373: institutional group quarters popula
Page 377 and 378: Another source of Medicaid informat
Page 379 and 380: For More Information. See the CMS R
Page 381 and 382: Sample data are weighted to produce
Page 383 and 384: The estimation procedure used to pr
Page 385 and 386: with the Armed Forces (although the
Page 387 and 388: areas. EDs are treated as their own
Page 389 and 390: Methodology. NIS is a nationwide te
Page 391 and 392: National Notifiable Diseases Survei
Page 393 and 394: interviewing (ACASI), are used to p
Page 395 and 396: Coverage. Data presented in Health,
Page 397 and 398: Heron M, Hoyert DL, Murphy SL, et a
Page 399 and 400: specified rules for the collection,
Page 401 and 402: Quality Improvement Evaluation Syst
Page 403 and 404: information on treatment and payer
Page 405 and 406: Reference American Dental Associati
Page 407 and 408: For More Information. See The Guttm
Page 409 and 410: Table I. United States projected ye
Page 411 and 412: males and black females in 1950 are
Page 413 and 414: hypertension. Those with uncontroll
Page 415 and 416: Table IV. Cause-of-death codes, by
Page 417 and 418: High Blood Cholesterol in Adults (A
Page 419 and 420: Table V. Comparability of selected
Page 421 and 422: Dental caries was identified by an
Page 423 and 424: For more information on prescriptio
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public-use data release. NCHS. 2014
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Figure I. U.S. Census Bureau: Four
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with only Indian Health Service (IH
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Table VII. Percentage of persons un
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analytic purposes. See: NAACCR guid
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cause of death in ICD-9. The asteri
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Table IX. Codes for external causes
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U.S. life tables by Hispanic origin
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for Healthcare Research and Quality
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Affordable Care Act Provides Eligib
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Micropolitan statistical area—The
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In 2000 and 2003, women were asked
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see Appendix I, Population Census a
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Table XII. Codes for procedure cate
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Table XIV. Private health care cove
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the extent that race and Hispanic o
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Perinatal mortality rates and ratio
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coverage are considered uninsured.
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Index
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A—Con. Table/Figure (F) Asian or
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D Table/Figure (F) Deaths, death ra
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H—Con. Table/Figure (F) Hispanic
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M—Con. Table/Figure (F) Metropoli
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S Table/Figure (F) Salmonellosis, s
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