Katherine E Irimata, Yulei He, Van L Parsons, Hee-Choon Shin, Guangyu Zhang
{"title":"Calibration Weighting Methods for the National Center for Health Statistics Research and Development Survey.","authors":"Katherine E Irimata, Yulei He, Van L Parsons, Hee-Choon Shin, Guangyu Zhang","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objectives The Research and Development Survey (RANDS) is a series of web-based, commercial panel surveys that have been conducted by the National Center for Health Statistics (NCHS) since 2015. RANDS was designed for methodological research purposes,including supplementing NCHS' evaluation of surveys and questionnaires to detect measurement error, and exploring methods to integrate data from commercial survey panels with high-quality data collections to improve survey estimation. The latter goal of improving survey estimation is in response to limitations of web surveys, including coverage and nonresponse bias. To address the potential bias in estimates from RANDS,NCHS has investigated various calibration weighting methods to adjust the RANDS panel weights using one of NCHS' national household surveys, the National Health Interview Survey. This report describes calibration weighting methods and the approaches used to calibrate weights in web-based panel surveys at NCHS.</p>","PeriodicalId":38828,"journal":{"name":"Vital and health statistics. Ser. 1: Programs and collection procedures","volume":" 87","pages":"1-23"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9529488","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}
Makram Talih, Katherine E Irimata, Guangyu Zhang, Jennifer D Parker
{"title":"Evaluation of the National Center for Health Statistics Data Presentation Standards for Rates From Vital Statistics and Sample Surveys.","authors":"Makram Talih, Katherine E Irimata, Guangyu Zhang, Jennifer D Parker","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>For the CIs used in the Standards for rates from vital statistics and complex health surveys, this report evaluates coverage probability, relative width, and the resulting percentage of rates flagged as statistically unreliable when compared with previously used standards. Additionally, the report assesses the impact of design effects and the denominator's sampling variability, when applicable.</p>","PeriodicalId":38828,"journal":{"name":"Vital and health statistics. Ser. 1: Programs and collection procedures","volume":" 198","pages":"1-30"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9318829","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}
Craig M Hales, David S Freedman, Lara Akinbami, Rong Wei, Cynthia L Ogden
{"title":"Evaluation of Alternative Body Mass Index (BMI) Metrics to Monitor Weight Status in Children and Adolescents With Extremely High BMI Using CDC BMI-for-age Growth Charts.","authors":"Craig M Hales, David S Freedman, Lara Akinbami, Rong Wei, Cynthia L Ogden","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>In the United States, obesity and severe obesity in children and adolescents are defined using threshold values from the 2000 Centers for Disease Control and Prevention (CDC) sex-specific body mass index (BMI)- for-age growth charts. BMI z-scores and percentiles from the 2000 CDC BMI-for-age growth charts are also used to monitor children's weight status over time and to evaluate obesity treatments. Parameters to calculate percentiles and corresponding z-scores (BMIz) were derived from selected percentiles between the 3rd and 97th. Use of the BMI-for-age growth charts for children and adolescents with extremely high BMI requires extrapolation beyond the 97th percentile, which leads to compression of BMIz values into a very narrow range and is not recommended. This report evaluates eight alternative BMI metrics for monitoring weight status in children and adolescents with extremely high BMI.</p>","PeriodicalId":38828,"journal":{"name":"Vital and health statistics. Ser. 1: Programs and collection procedures","volume":" 197","pages":"1-42"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10622083","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}
Craig M. Hales, D. Freedman, L. Akinbami, R. Wei, C. Ogden
{"title":"Evaluation of Alternative Body Mass Index (BMI) Metrics to Monitor Weight Status in Children and Adolescents With Extremely High BMI Using CDC BMI-for-age Growth Charts.","authors":"Craig M. Hales, D. Freedman, L. Akinbami, R. Wei, C. Ogden","doi":"10.15620/cdc:121711","DOIUrl":"https://doi.org/10.15620/cdc:121711","url":null,"abstract":"In the United States, obesity and severe obesity in children and adolescents are defined using threshold values from the 2000 Centers for Disease Control and Prevention (CDC) sex-specific body mass index (BMI)- for-age growth charts. BMI z-scores and percentiles from the 2000 CDC BMI-for-age growth charts are also used to monitor children's weight status over time and to evaluate obesity treatments. Parameters to calculate percentiles and corresponding z-scores (BMIz) were derived from selected percentiles between the 3rd and 97th. Use of the BMI-for-age growth charts for children and adolescents with extremely high BMI requires extrapolation beyond the 97th percentile, which leads to compression of BMIz values into a very narrow range and is not recommended. This report evaluates eight alternative BMI metrics for monitoring weight status in children and adolescents with extremely high BMI.","PeriodicalId":38828,"journal":{"name":"Vital and health statistics. Ser. 1: Programs and collection procedures","volume":"197 1","pages":"1-42"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45875609","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}
David T Huang, Bryan A Bassig, Kate Hubbard, Richard J Klein, Makram Talih
{"title":"Examining Progress Toward Elimination of Racial and Ethnic Health Disparities for Healthy People 2020 Objectives Using Three Measures of Overall Disparity.","authors":"David T Huang, Bryan A Bassig, Kate Hubbard, Richard J Klein, Makram Talih","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>This report examines changes in health disparities over time by race and ethnicity for HP2020 objectives using three measures of disparity.</p>","PeriodicalId":38828,"journal":{"name":"Vital and health statistics. Ser. 1: Programs and collection procedures","volume":" 195","pages":"1-30"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40718356","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}
Hee-Choon Shin, J. Parker, V. Parsons, Yulei He, Katherine E. Irimata, Bill Cai, V. Beresovsky
{"title":"Propensity-score Adjusted Estimates for Selected Health Outcomes From the Research and Development Survey.","authors":"Hee-Choon Shin, J. Parker, V. Parsons, Yulei He, Katherine E. Irimata, Bill Cai, V. Beresovsky","doi":"10.15620/cdc:121708","DOIUrl":"https://doi.org/10.15620/cdc:121708","url":null,"abstract":"To evaluate the quality of web surveys, the National Center for Health Statistics' Division of Research and Methodology has been conducting a series of studies with survey data from commercially recruited panels,referred to as the Research and Development Survey (RANDS). This report describes the propensity-score adjusted estimates from the second round of RANDS (RANDS 2) using the 2016 National Health Interview Survey (NHIS).","PeriodicalId":38828,"journal":{"name":"Vital and health statistics. Ser. 1: Programs and collection procedures","volume":"196 1","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41529697","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}
Hee-Choon Shin, Jennifer Parker, Van Parsons, Yulei He, Katherine Irimata, Bill Cai, Vlad Beresovsky
{"title":"Propensity-score Adjusted Estimates for Selected Health Outcomes From the Research and Development Survey.","authors":"Hee-Choon Shin, Jennifer Parker, Van Parsons, Yulei He, Katherine Irimata, Bill Cai, Vlad Beresovsky","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>To evaluate the quality of web surveys, the National Center for Health Statistics' Division of Research and Methodology has been conducting a series of studies with survey data from commercially recruited panels,referred to as the Research and Development Survey (RANDS). This report describes the propensity-score adjusted estimates from the second round of RANDS (RANDS 2) using the 2016 National Health Interview Survey (NHIS).</p>","PeriodicalId":38828,"journal":{"name":"Vital and health statistics. Ser. 1: Programs and collection procedures","volume":" 196","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40718355","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}
Katherine E Irimata, Brigham A Bastian, Tainya C Clarke, Sally C Curtin, Rihem Badwe, Pinyao Rui
{"title":"Guidance for Selecting Model Options in the National Cancer Institute Joinpoint Regression Software.","authors":"Katherine E Irimata, Brigham A Bastian, Tainya C Clarke, Sally C Curtin, Rihem Badwe, Pinyao Rui","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The purpose of this report is to provide guidance to users of NCHS data in the selection of modeling options when using the NCI Joinpoint regression software to analyze trends. This report complements another report, \"National Center for Health Statistics Guidelines for Analysis of Trends.\" Considerations are presented for selecting the modeling options, with examples illustrating the choices. The tradeoffs and consequences of choosing the various modeling options using data from NCHS data systems are discussed.encounters.</p>","PeriodicalId":38828,"journal":{"name":"Vital and health statistics. Ser. 1: Programs and collection procedures","volume":" 194","pages":"1-22"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40337292","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}
Amy M Brown, Donielle G White, Nikki B Adams, Adaeze O'Jiaku-Okorie, Rihem Badwe, Pharm D, Salah Shaikh, Adewumi Adegboye
{"title":"Identifying Co-occurring Disorders Among Patients With an Opioid involved Hospital Encounter Using National Hospital Care Survey Data.","authors":"Amy M Brown, Donielle G White, Nikki B Adams, Adaeze O'Jiaku-Okorie, Rihem Badwe, Pharm D, Salah Shaikh, Adewumi Adegboye","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>This report documents the development of the 2016 National Hospital Care Survey (NHCS) Co-occurring Disorders Algorithm, which can be used to identify patients with an opioid-involved hospital encounter who had lifetime diagnoses of both a substance use disorder and a selected mental health issue. Lifetime diagnoses are defined as diagnoses at any point in the past or during the current encounter. This algorithm was created to complement the earlier NHCS Enhanced Opioid Identification Algorithm designed to improve the classification of patients with opioid-involved hospital encounters.</p>","PeriodicalId":38828,"journal":{"name":"Vital and health statistics. Ser. 1: Programs and collection procedures","volume":" 193","pages":"1-21"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33469974","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}
Amy M Brown, Donielle G White, Nikki B Adams, Adaeze O'Jiaku-Okorie, Rihem Badwe, P. D., Salah Shaikh, Adewumi Adegboye
{"title":"Identifying Co-occurring DisordersAmong Patients With an Opioid involved Hospital Encounter Using National Hospital Care Survey Data.","authors":"Amy M Brown, Donielle G White, Nikki B Adams, Adaeze O'Jiaku-Okorie, Rihem Badwe, P. D., Salah Shaikh, Adewumi Adegboye","doi":"10.15620/cdc:119155","DOIUrl":"https://doi.org/10.15620/cdc:119155","url":null,"abstract":"This report documents the development of the 2016 National Hospital Care Survey (NHCS) Co-occurring Disorders Algorithm, which can be used to identify patients with an opioid-involved hospital encounter who had lifetime diagnoses of both a substance use disorder and a selected mental health issue. Lifetime diagnoses are defined as diagnoses at any point in the past or during the current encounter. This algorithm was created to complement the earlier NHCS Enhanced Opioid Identification Algorithm designed to improve the classification of patients with opioid-involved hospital encounters.","PeriodicalId":38828,"journal":{"name":"Vital and health statistics. Ser. 1: Programs and collection procedures","volume":"193 1","pages":"1-21"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47775960","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}