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Vital and Health Statistics. Series 2, Data Evaluation and Methods Research

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https://www.readbyqxmd.com/read/27301078/nonresponse-bias-in-estimates-from-the-2012-national-ambulatory-medical-care-survey
#1
Esther Hing, Iris M Shimizu, Anjali Talwalkar
BACKGROUND: The National Ambulatory Medical Care Survey (NAMCS) is an annual, nationally representative sample survey of physicians and of visits to physicians. Two major changes were made to the 2012 NAMCS to support reliable state estimates. The sampling design changed from an area sample to a fivefold-larger list sample of physicians stratified by the nine U.S. Census Bureau divisions and 34 states. At the same time, the data collection mode changed from paper forms to laptop-assisted data collection and from physician or office staff abstraction of medical records to predominantly Census interviewer abstraction using automated Patient Record Forms (PRFs)...
February 2016: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/26222898/national-health-and-nutrition-examination-survey-biospecimen-program-nhanes-iii-1988-1994-and-nhanes-1999-2014
#2
Geraldine M McQuillan, Jody E McLean, Michele Chiappa, Harris Corporation, Susan L Lukacs
BACKGROUND: The National Health and Nutrition Examination Survey's 9NHANES) biospecimena program was formed to manage the collection of biospecimena (including serum, plasma, urine, and DNA) from NHANES cycles, the storage of biospecimens in NHANES biospecimens, accessing of biospecimens by researchers and the providing of resulting data to future researchers. Data from biospeceimen research can be combined with existing NHANES data. OBJECTIVE: This report provides background on the development of NHANES biorepositories and describes the collection, processing, and storing of biospecimens; ethical considerations and informed consent; and the proposal process for accessing biospecimens and resulting data...
July 2015: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/25510624/sexual-orientation-in-the-2013-national-health-interview-survey-a-quality-assessment
#3
James M Dahlhamer, Adena M Galinsky, Sarah S Joestl, Brian W Ward
Objective-This report presents a set of quality analyses of sexual orientation data collected in the 2013 National Health Interview Survey (NHIS). NHIS sexual orientation estimates are compared with those from the National Survey of Family Growth (NSFG) and the National Health and Nutrition Examination Survey (NHANES). Selected health outcomes by sexual orientation are compared between NHIS and NSFG. Assessments of item nonresponse, item response times, and responses to follow-up questions to the sexual orientation question are also presented...
December 2014: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/25569584/national-health-and-nutrition-examination-survey-national-youth-fitness-survey-estimation-procedures-2012
#4
Clifford L Johnson, Sylvia M Dohrmann, Van de Kerckove, Mamadou S Diallo, Jason Clark, Leyla K Mohadjer, Vicki L Burt
BACKGROUND: The National Health and Nutrition Examination Survey's (NHANES) National Youth Fitness Survey (NNYFS) was conducted in 2012 by the Centers for Disease Control and Prevention's National Center for Health Statistics (NCHS). NNYFS collected data on physical activity and fitness levels to evaluate the health and fitness of children aged 3-15 in the United States. The survey comprised three levels of data collection: a household screening interview (or screener), an in-home personal interview, and a physical examination...
November 2014: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/25406513/linkage-of-1986-2009-national-health-interview-survey-with-1981-2010-florida-cancer-data-system
#5
Eric A Miller, Donna M Miller, Dean H Judson, Yulei He, Hannah R Day, Keith Zevallos, Jennifer D Parker, Jill A MacKinnon, Monique N Hernandez, Brad Wohler, Recinda Sherman, Christina A Fernandez, Laura A McClure, William G LeBlanc, Stacey L Tannenbaum, Diane D Zheng, David J Lee, Sharon L Christ
BACKGROUND: National survey data linked with state cancer registry data has the potential to create a valuable tool for cancer prevention and control research. A pilot project-developed in a collaboration of the Centers for Disease Control and Prevention's National Center for Health Statistics (NCHS) and the Florida Cancer Data System (FCDS) at the University of Miami -links the records of the 1986-2009 National Health Interview Survey (NHIS) and the 1981-2010 FCDS. The project assesses the feasibility of performing a record linkage between NCHS survey data and a state-based cancer registry, as well as the value of the data produced...
September 2014: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/24776070/2013-nchs-urban-rural-classification-scheme-for-counties
#6
Deborah D Ingram, Sheila J Franco
OBJECTIVES: This report details development of the 2013 National Center for Health Statistics' (NCHS) Urban-Rural Classification Scheme for Counties (update of the 2006 NCHS scheme) and applies it to health measures to demonstrate urban-rural health differences. METHODS: The methodology used to construct the 2013 NCHS scheme was the same as that used for the 2006 NCHS scheme, but 2010 census-based data were used rather than 2000 census-based data. All U.S. counties and county-equivalent entities are assigned to one of six levels (four metropolitan and two nonmetropolitan) based on: 1) their February 2013 Office of Management and Budget designation as metropolitan, micropolitan, or noncore; 2) for metropolitan counties, the population size of the metropolitan statistical area (MSA) to which they belong; and 3) for counties in MSAs of 1 million or more, the location of principal city populations within the MSA...
April 2014: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/24775908/design-and-estimation-for-the-national-health-interview-survey-2006-2015
#7
Van L Parsons, Chris Moriarity, Kimball Jonas, Thomas F Moore, Karen E Davis, Linda Tompkins
OBJECTIVES: This report presents an overview, a detailed description of the sample design features, and estimation structures for the 2006-2015 National Health Interview Survey NHIS). It fulfills the same role for the current 2006-2015 NHIS design as NCHS Series 2, No. 130, "Design and Estimation for the National Health Interview Survey, 1995-2004" provided for the previous design, which was extended through 2005. METHODS: The 2006-2015 NHIS sample design uses cost-effective complex sampling techniques including stratification, clustering, and differential sampling rates to achieve several objectives, among them improved reliability of racial, ethnic, and geographical domains...
April 2014: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/24755511/comparison-of-in-home-collection-of-physical-measurements-and-biospecimens-with-collection-in-a-standardized-setting-the-health-measures-at-home-study
#8
Renee M Gindi, George Zipf, Adena M Galinsky, Ivey M Miller, Tatiana Nwankwo, Ana L Terry
OBJECTIVES: Collection of physical measurements and biospecimens in the home may be an efficient way to obtain objective health measurements. This study assesses differences between collection in the home and a standardized setting. METHODS: Participants had physical measurements and biospecimens taken in the National Health and Nutrition Examination Survey mobile examination center (MEC). Then, they had height and weight measured in the MEC using portable equipment...
April 2014: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/24709592/national-health-and-nutrition-examination-survey-national-youth-fitness-survey-plan-operations-and-analysis-2012
#9
Lori Borrud, Michele M Chiappa, Vicki L Burt, Jaime Gahche, George Zipf, Clifford L Johnson, Sylvia M Dohrmann
BACKGROUND: In October 2008, the federal government issued its first-ever Physical Activity Guidelines for Americans to provide science-based guidance on the types and amounts of physical activity that provide substantial health benefits for Americans (1). Guidelines for children and adolescents recommend 60 minutes or more of aerobic, muscle-strengthening, or bone-strengthening physical activity daily (1). While the number of children in the United States who meet the recommendations in the Physical Activity Guidelines is unknown, the percentage that is physically active in the United States may be declining...
April 2014: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/25569458/national-health-and-nutrition-examination-survey-sample-design-2011-2014
#10
Clifford L Johnson, Sylvia M Dohrmann, Vicki L Burt, Leyla K Mohadjer
Background Data collection for the National Health and Nutrition Examination Survey (NHANES) consists of a household screener, an interview, and a physical examination. The screener primarily determines whether any household members are eligible for the interview and examination. Eligibility is established using preset selection probabilities for the desired demographic subdomains. After an eligible sample person is selected, the interview collects person-level demographic, health, and nutrition information, as well as information about the household...
March 2014: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/25090154/national-health-and-nutrition-examination-survey-analytic-guidelines-1999-2010
#11
Clifford L Johnson, Ryne Paulose-Ram, Cynthia L Ogden, Margaret D Carroll, Deanna Kruszon-Moran, Sylvia M Dohrmann, Lester R Curtin
Background-Analytic guide lines were first created in 1996 to assist data users in analyzing data from the Third National Health and Nutrition Examination Survey (NHANES III),conducted from 1988 to 1994 by the Centers for Disease Control and Prevention's National Center for Health Statistics. NHANES became a continuous annual survey in 1999, with data released to the public in 2-year intervals. In 2002, 2004, and 2006, guidelines were created and posted on the NHANES website to assist analysts in understanding the key issues related to analyzing data from 1999 onward...
September 2013: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/25093338/national-health-and-nutrition-examination-survey-estimation-procedures-2007-2010
#12
Lisa B Mirel, Leyla K Mohadjer, Sylvia M Dohrmann, Jason Clark, Vicki L Burt, Clifford L Johnson, Lester R Curtin
BACKGROUND: Data collection for the National Health and Nutrition Examination Survey (NHANES), comprises three levels: an initial household screening interview (or ''screener''), an in-home personal interview, and a physical examination. The primary objective of the screener is to determine whether any household members are eligible for the interview and examination. Eligibility is determined by preset selection probabilities for the desired demographic subdomains. After an eligible sample person is selected, the in-home interview collects person-level demographic, health, and nutrition information, as well as information about the household...
August 2013: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/25090039/national-health-and-nutrition-examination-survey-sample-design-2007-2010
#13
Lester R Curtin, Leyla K Mohadjer, Sylvia M Dohrmann, Deanna Kruszon-Moran, Lisa B Mirel, Margaret D Carroll, Rosemarie Hirsch, Vicki L Burt, Clifford L Johnson
BACKGROUND: Data collection for the National Health and Nutrition Examination Survey (NHANES) comprises three levels: a household screener, an interview, and a physical examination. The primary objective of the screener is to determine whether any household members are eligible for the interview an dexamination. Eligibility is determined by preset selection probabilities for the desired demographic subdomains. After an eligible sample person is selected, the interview collects person-level demographic, health, and nutrition information, as well as information about the household...
August 2013: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/25093250/responsive-design-weighting-andvariance-estimation-in-the-2006-2010-national-survey-of-family-growth
#14
James M Lepkowski, William D Mosher, Robert M Groves, Brady T West, James Wagner, Haley Gu
Objective-The National Survey of Family Growth (NSFG) collects data on pregnancy, childbearing, men's and women's health, and parenting from a national sample of men and women aged 15-44 in the United States. The 2006-2010 NSFG design was a significant departure from the previous periodic design, used in 1973-2002. This report shows fieldwork results and weighting, imputation, and variance estimation procedures. The report should be useful to users of the 2006-2010 public-use data file and to survey methodologists wishing to learn how the NSFG was conducted...
June 2013: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/25093818/adjusting-national-health-and-nutrition-examination-survey-sample-weights-for-women-of-childbearing-age
#15
Jennifer Parker, Amy Branum, Daniel Axelrad, Jonathan Cohen
BACKGROUND: Maternal risk factors have been tabulated for women of childbearing age using defined age ranges. However, statistics for factors strongly related to age may be overly influenced by values for the youngest and oldest women in a range, because pregnancies are most likely for ages 20-35. OBJECTIVE: This report evaluates adjustment methods, based on the probability of pregnancy, for calculating estimates of risk factors for women of childbearing age. METHODS: Adjusted and unadjusted estimates for environmental and nutritional variables were calculated from the 1999-2008 National Health and Nutrition Examination Survey (NHANES) for women aged 16-49...
May 2013: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/22788053/the-national-health-and-nutrition-examination-survey-sample-design-1999-2006
#16
Lester R Curtin, Leyla K Mohadjer, Sylvia M Dohrmann, Jill M Montaquila, Deanna Kruszan-Moran, Lisa B Mirel, Margaret D Carroll, Rosemarie Hirsch, Susan Schober, Clifford L Johnson
BACKGROUND: Data collection for the National Health and Nutrition Examination Survey (NHANES) comprises three levels: a household screener, an interview, and a physical examination. The primary objective of the screener is to determine whether any household members are eligible for the interview and examination. Eligibility is determined by the preset selection probabilities for the desired demographic subdomains. After selection as an eligible sample person, the interview collects person-level demographic, health, and nutrition information as well as information about the household...
May 2012: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/21936340/transitions-between-childlessness-and-first-birth-three-generations-of-u-s-women
#17
Sharon E Kirmeyer, Brady E Hamilton
OBJECTIVE: This report analyzes the patterns of childlessness, and conversely, the first-birth patterns of three birth cohorts of American women. For this report, a cohort refers to women born in the same year. The cohorts compared were women born in 1910, 1935, and 1960-who, consequently, turned 25 during the Great Depression, the Baby Boom, and lastly, the post-Baby Boom period. The purpose of the report is to explore the differences in fertility characteristics of these three generations of women and to consider those differences in light of the social and economic conditions at the time...
August 2011: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/25093685/education-reporting-and-classification-on-death-certificates-in-the-united-states
#18
Brian L Rostron, John L Boies, Elizabeth Arias
Objectives-This report analyzes education reporting and classification on the death certificate and their effect on estimates of mortality and life expectancy by education level in the United States. Methods-The National Longitudinal Mortality Study (NLMS) was used to analyze education information on the death certificate for participants in the Current Population Survey (CPS) from 1992 through 1998 who died by the end of 1998. Educational attainment reported on the death certificate for these persons was compared to their educational attainment reported in the CPS...
May 2010: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/25093608/estimating-healthy-life-expectancies-using-longitudinal-survey-data-methods-and-techniques-in-population-health-measures
#19
Michael T Molla, Jennifer H Madans
Objective-Summary measures of population health are statistics that combine mortality and morbidity to represent overall population health in a single index. Such measures include healthy life expectancy, also called disability-free life expectancy and active life expectancy. Healthy life expectancy can be calculated using cross-sectional or longitudinal survey data. This report presents a comprehensive discussion of a method for calculating healthy life expectancy using data from longitudinal surveys. Methods-Healthy life expectancies are calculated using the multistate life table model...
May 2008: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
https://www.readbyqxmd.com/read/16032956/methodological-issues-in-measuring-health-disparities
#20
Kenneth Keppel, Elsie Pamuk, John Lynch, Olivia Carter-Pokras, Kim Insun, Vickie Mays, Jeffrey Pearcy, Victor Schoenbach, Joel S Weissman
OBJECTIVES: This report discusses six issues that affect the measurement of disparities in health between groups in a population: Selecting a reference point from which to measure disparity. Measuring disparity in absolute or in relative terms. Measuring in terms of favorable or adverse events. Measuring in pair-wise or in summary fashion. Choosing whether to weight groups according to group size. Deciding whether to consider any inherent ordering of the groups. These issues represent choices that are made when disparities are measured...
July 2005: Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
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