Vital and health statistics. Series 2, Data evaluation and methods research最新文献_第2页

National Health and Nutrition Examination Survey: Estimation Procedures, 2011-2014. 2011-2014年全国健康与营养检查调查估计程序

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2018-01-01

Te-Ching Chen, Jennifer D Parker, Jason Clark, Hee-Choon Shin, Jennifer R Rammon, Vicki L Burt

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Collecting Practice-level Data in a Changing Physician Office-based Ambulatory Care Environment: A Pilot Study Examining the Physician induction interview Component of the National Ambulatory Medical Care Survey. 在不断变化的以医生办公室为基础的门诊护理环境中收集实践水平的数据:一项检查全国门诊医疗调查中医生导入访谈组成部分的试点研究。

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2017-11-01

Meghan C Halley, Katharine A Rendle, Brian Gugerty, Denys T Lau, Harold S Luft, Katherine A Gillespie

{"title":"Collecting Practice-level Data in a Changing Physician Office-based Ambulatory Care Environment: A Pilot Study Examining the Physician induction interview Component of the National Ambulatory Medical Care Survey.","authors":"Meghan C Halley, Katharine A Rendle, Brian Gugerty, Denys T Lau, Harold S Luft, Katherine A Gillespie","doi":"","DOIUrl":"","url":null,"abstract":"Objective This report examines ways to improve National Ambulatory Medical Care Survey (NAMCS) data on practice and physician characteristics in multispecialty group practices. Methods From February to April 2013, the National Center for Health Statistics (NCHS) conducted a pilot study to observe the collection of the NAMCS physician interview information component in a large multispecialty group practice. Nine physicians were randomly sampled using standard NAMCS recruitment procedures; eight were eligible and agreed to participate. Using standard protocols, three field representatives conducted NAMCS physician induction interviews (PIIs) while trained ethnographers observed and audio recorded the interviews. Transcripts and field notes were analyzed to identify recurrent issues in the data collection process. Results The majority of the NAMCS items appeared to have been easily answered by the physician respondents. Among the items that appeared to be difficult to answer, three themes emerged: (a) physician respondents demonstrated an inconsistent understanding of \"location\" in responding to questions; (b) lack of familiarity with administrative matters made certain questions difficult for physicians to answer; and (c) certain primary care‑oriented questions were not relevant to specialty care providers. Conclusions Some PII survey questions were challenging for physicians in a multispecialty practice setting. Improving the design and administration of NAMCS data collection is part of NCHS' continuous quality improvement process.","PeriodicalId":23577,"journal":{"name":"Vital and health statistics. Series 2, Data evaluation and methods research","volume":" 176","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35620569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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National Center for Health Statistics Data Presentation Standards for Proportions. 国家卫生统计中心比例数据呈现标准。

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2017-08-01

Jennifer D Parker, Makram Talih, Donald J Malec, Vladislav Beresovsky, Margaret Carroll, Joe F Gonzalez, Brady E Hamilton, Deborah D Ingram, Kenneth Kochanek, Frances McCarty, Chris Moriarity, Iris Shimizu, Alexander Strashny, Brian W Ward

引用次数: 0

Data Quality Assessment of the 2014 Native Hawaiian and Pacific Islander National Health Interview Survey. 2014年夏威夷原住民和太平洋岛民全国健康访谈调查的数据质量评估。

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2017-08-01

Adena M Galinsky, Carla E Zelaya, Catherine Simile, Patricia M Barnes

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National Health and Nutrition Examination Survey: California and Los Angeles County, Estimation Methods and Analytic Considerations, 1999-2006 and 2007-2014. 全国健康和营养检查调查:加利福尼亚和洛杉矶县，估算方法和分析考虑，1999-2006年和2007-2014年。

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2017-05-01

Jennifer D Parker, Deanna Kruszon-Moran, Leyla K Mohadjer, Sylvia M Dohrmann, Wendy Van de Kerckhove, Jason Clark, Vicki L Burt

{"title":"National Health and Nutrition Examination Survey: California and Los Angeles County, Estimation Methods and Analytic Considerations, 1999-2006 and 2007-2014.","authors":"Jennifer D Parker, Deanna Kruszon-Moran, Leyla K Mohadjer, Sylvia M Dohrmann, Wendy Van de Kerckhove, Jason Clark, Vicki L Burt","doi":"","DOIUrl":"","url":null,"abstract":"Background California is the most populated state and Los Angeles County is the most populated county in the United States. National Health and Nutrition Examination Survey (NHANES) sample weights and variance units were developed for these places to obtain subnational estimates. Objective This report describes the California and Los Angeles County NHANES 1999-2006 and 2007-2014 samples, including the creation of the sample weights and variance units and descriptions of the resulting data files. Some analytic guidelines are provided. Results Eight years of NHANES data were combined for each data file to provide an adequate sample size and reduce disclosure risks. Because Los Angeles County has been a self-representing primary sampling unit, sample weights for Los Angeles County were relatively straightforward. However, a modelbased approach was used to create sample weights for California. The relatively large proportion of Mexican- American and other Hispanic persons in California, coupled with the different NHANES 1999-2014 sample design requirements for oversampling these groups within the small number of NHANES locations selected each cycle, led to a relatively large size of these groups in the California and Los Angeles County NHANES files. For example, 1,137 and 374 of the 3,353 Mexican-Americans persons in NHANES 2007-2014 were in the California and Los Angeles County samples, respectively. Conclusion The California and Los Angeles County NHANES 1999-2006 and 2007-2014 samples are available in the National Center for Health Statistics Research Data Center.","PeriodicalId":23577,"journal":{"name":"Vital and health statistics. Series 2, Data evaluation and methods research","volume":" 173","pages":"1-26"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35152116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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The Validity of Race and Hispanic-origin Reporting on Death Certificates in the United States: An Update. 美国死亡证明上种族和西班牙裔报告的有效性:更新。

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2016-08-01

Elizabeth Arias, Melonie Heron, Jahn Hakes

{"title":"The Validity of Race and Hispanic-origin Reporting on Death Certificates in the United States: An Update.","authors":"Elizabeth Arias, Melonie Heron, Jahn Hakes","doi":"","DOIUrl":"","url":null,"abstract":"Objectives\u0000This report presents the findings of an updated study of the validity of race and Hispanic-origin reporting on death certificates in the United States, and its impact on race- and Hispanic origin-specific death rates.\u0000\u0000Methods\u0000The latest version of the National Longitudinal Mortality Study (NLMS) was used to evaluate the classification of race and Hispanic origin on death certificates for deaths occurring in 1999–2011 to decedents in NLMS. To evaluate change over time, these results were compared with those of a study based on an earlier version of NLMS that evaluated the quality of race and ethnicity classification on death certificates for 1979–1989 and 1990–1998. NLMS consists of a series of annual Current Population Survey files (1973 and 1978–2011) and a sample of the 1980 decennial census linked to death certificates for 1979–2011. Pooled 2009–2011 vital statistics mortality data and 2010 decennial census population data were used to estimate and compare observed and corrected race- and Hispanic origin-specific death rates.\u0000\u0000Results\u0000Race and ethnicity reporting on death certificates continued to be highly accurate for both white and black populations during the 1999–2011 period. Misclassification remained high at 40% for the American Indian or Alaska Native (AIAN) population. It improved, from 5% to 3%, for the Hispanic population, and from 7% to 3% for the Asian or Pacific Islander (API) population. Decedent characteristics such as place of residence and nativity affected the quality of reporting on the death certificate. Effects of misclassification on death rates were large for the AIAN population but not significant for the Hispanic or API populations.","PeriodicalId":23577,"journal":{"name":"Vital and health statistics. Series 2, Data evaluation and methods research","volume":" 172","pages":"1-21"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34936352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Nonresponse Bias in Estimates From the 2012 National Ambulatory Medical Care Survey. 2012年全国门诊医疗调查估计的无反应偏倚

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2016-02-01

Esther Hing, Iris M Shimizu, Anjali Talwalkar

{"title":"Nonresponse Bias in Estimates From the 2012 National Ambulatory Medical Care Survey.","authors":"Esther Hing, Iris M Shimizu, Anjali Talwalkar","doi":"","DOIUrl":"","url":null,"abstract":"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).Objectives: This report presents an analysis of potential nonresponse bias in 2012 NAMCS estimates of physicians and visits to physicians. This analysis used two sets of physician-based estimates: one measuring the completion of the physician induction interview and another based on completing any PRF. Evaluation of visit response was measured by the percentage of expected PRFs completed. For each type of physician estimate, response was evaluated by (a) comparing percent distributions of respondents and nonrespondents by physician characteristics available for all in-scope sample physicians, (b) comparing response rates by physician characteristics with the national response rate, and (c) analyzing nonresponse bias after adjustments for nonresponse were applied in survey weights. For visit estimates, response was evaluated by (a) comparing the percent distributions of expected visits and completed visits, (b) comparing visit response rates by physician characteristics with the national visit response rate, and (c) analyzing visit-level nonresponse bias after adjustments for nonresponse were applied in visit survey weights. Finally, potential bias in the two physician-level estimates was computed by comparing them with those from an external survey.","PeriodicalId":23577,"journal":{"name":"Vital and health statistics. Series 2, Data evaluation and methods research","volume":" 171","pages":"1-42"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34575856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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National Health and Nutrition Examination Survey Biospecimen Program: NHANES III (1988-1994) and NHANES 1999-2014. 国家健康与营养检查调查生物标本计划:NHANES III(1988-1994)和NHANES 1999-2014。

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2015-07-01

Geraldine M McQuillan, Jody E McLean, Michele Chiappa, Harris Corporation, Susan L Lukacs

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Sexual orientation in the 2013 national health interview survey: a quality assessment. 2013年全国健康访谈调查中的性取向:质量评估。

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2014-12-01

James M Dahlhamer, Adena M Galinsky, Sarah S Joestl, Brian W Ward

{"title":"Sexual orientation in the 2013 national health interview survey: a quality assessment.","authors":"James M Dahlhamer, Adena M Galinsky, Sarah S Joestl, Brian W Ward","doi":"","DOIUrl":"","url":null,"abstract":"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. Methods-NHIS is a multipurpose health survey conducted continuously throughout the year by the Centers for Disease Control and Prevention's National Center for Health Statistics. Analyses in this report were based on NHIS data collected in 2013 from 34,557 adults aged 18 and over. Sampling weights were used to produce national estimates that are representative of the civilian noninstitutionalized U.S. adult population. Data from the 2006-2010 NSFG and 2009-2012 NHANES were used for the comparisons. Results-Based on the 2013 NHIS data, 96.6% of adults identified as straight, 1.6% identified as gay/lesbian, and 0.7% identified as bisexual. The remaining 1.1% of adults identified as ''something else,'' stated ''I don't know the answer,'' or refused to answer. Responses to follow-up questions suggest that the sexual orientation question is producing little classification error. In addition, largely similar patterns of association between sexual orientation and health were observed for NHIS and NSFG. Analyses of item nonresponse rates revealed few data quality issues, although item response times suggest possible shortcutting of the question and comprehension problems for select respondents. ","PeriodicalId":23577,"journal":{"name":"Vital and health statistics. Series 2, Data evaluation and methods research","volume":" 169","pages":"1-32"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32908980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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National Health and Nutrition Examination Survey: National Youth Fitness Survey Estimation Procedures, 2012. 全国健康与营养调查:全国青少年健康调查估算程序，2012。

Vital and health statistics. Series 2, Data evaluation and methods research Pub Date : 2014-11-01

Clifford L Johnson, Sylvia M Dohrmann, Van de Kerckove, Mamadou S Diallo, Jason Clark, Leyla K Mohadjer, Vicki L Burt

{"title":"National Health and Nutrition Examination Survey: National Youth Fitness Survey Estimation Procedures, 2012.","authors":"Clifford L Johnson, Sylvia M Dohrmann, Van de Kerckove, Mamadou S Diallo, Jason Clark, Leyla K Mohadjer, Vicki L Burt","doi":"","DOIUrl":"","url":null,"abstract":"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. The screener's primary objective was to determine whether any children in the household were eligible for the interview and examination. Eligibility was determined by preset selection probabilities for desired sex-age subdomains. After selection, the in-home personal interview collected demographic, health, physical activity, and nutrition information about the child as well as information about the household. The examination included physical measurements and fitness tests.Objectives: This report provides background on the NNYFS program and summarizes the survey's sample design specifications. The report presents NNYFS estimation procedures, including the methods used to calculate survey weights for the full sample as well as a combined NHANES/NNYFS sample for 2012 (accessible only through the NCHS Research Data Center). The report also describes appropriate variance estimation methods. Documentation of the sample selection methods, survey content, data collection procedures, and methods to assess nonsampling errors are reported elsewhere.","PeriodicalId":23577,"journal":{"name":"Vital and health statistics. Series 2, Data evaluation and methods research","volume":" 168","pages":"1-25"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32958839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0