Leanna P Moron, Katherine E Irimata, Jennifer D Parker
{"title":"Comparison of Mental Health Estimates by Sociodemographic Characteristics in the Research and Development Survey 3 and the 2019 National Health Interview Survey.","authors":"Leanna P Moron, Katherine E Irimata, Jennifer D Parker","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objectives-This report compares national and subgroup estimates of any (mild, moderate, or severe) level of major depressive disorder (depression) and generalized anxiety disorder (GAD) symptoms among the U.S. adult population from two data sources, the 2019 National Health Interview Survey (NHIS) and the third round of the Research and Development Survey (RANDS 3). Methods-Data from the 2019 NHIS (n = 31,997) and RANDS 3 (n = 2,646) were used. The eight-item Patient Health Questionnaire (PHQ-8), scores ranging from 0 to 24, and the seven-item GAD scale (GAD-7), scores ranging from 0 to 21, were used to measure the severity of depression and GAD symptoms, respectively. Binary indicators of exhibiting symptoms were based on scores of 5 to 24 for depression and 5 to 21 for GAD. The estimates were compared by the following sociodemographic characteristics: age, sex, race and Hispanic origin, education, and region. Results-Nearly all of the national and subgroup estimates of adults with depression and GAD symptoms were significantly higher based on RANDS 3 compared with the 2019 NHIS. The only exception was the depression symptoms estimate among adults aged 65 and over, where the estimates were comparable across the two data sources. Both data sources found that depression symptoms were associated with sex, age, race and Hispanic origin, and education, and GAD symptoms were associated with age, race and Hispanic origin, and education. However, NHIS identified a few associations that RANDS did not, including associations between depression symptoms and region and GAD symptoms and sex. Conclusions-Mental health estimates from RANDS, a web-based survey, may be overestimated when compared with a traditional in-person household survey. These results may inform potential strategies to improve the comparability of mental health estimates from RANDS and other surveys like NHIS, such as calibration weights or other model-based methods.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 188","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10192761","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}
{"title":"A Comparison of the Mortality Experience of U.S. Adults Estimated With the 2006-2018 National Health Interview Survey Linked Mortality Files and the Annual U.S. Life Tables.","authors":"J. Keralis, Cindy Zhang, C. Cox, L. Mirel","doi":"10.15620/cdc:126565","DOIUrl":"https://doi.org/10.15620/cdc:126565","url":null,"abstract":"Objective-Linking data is a powerful mechanism to provide policy-relevant information. The National Center for Health Statistics' Data Linkage Program produces linked mortality files (LMFs) for research by linking data from the National Center for Health Statistics' surveys, including the National Health Interview Survey (NHIS), to mortality data from the National Death Index. Assessing the accuracy of the linked data is an important step in ensuring its analytic use. This report compares the cumulative survival probabilities estimated with the 2006-2018 NHIS LMFs to those from the annual U.S. life tables.","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":"186 1","pages":"1-29"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47911806","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}
Jessica M Keralis, Cindy Zhang, Christine S Cox, Lisa B Mirel
{"title":"A Comparison of the Mortality Experience of U.S. Adults Estimated With the 2006-2018 National Health Interview Survey Linked Mortality Files and the Annual U.S. Life Tables.","authors":"Jessica M Keralis, Cindy Zhang, Christine S Cox, Lisa B Mirel","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objective-Linking data is a powerful mechanism to provide policy-relevant information. The National Center for Health Statistics' Data Linkage Program produces linked mortality files (LMFs) for research by linking data from the National Center for Health Statistics' surveys, including the National Health Interview Survey (NHIS), to mortality data from the National Death Index. Assessing the accuracy of the linked data is an important step in ensuring its analytic use. This report compares the cumulative survival probabilities estimated with the 2006-2018 NHIS LMFs to those from the annual U.S. life tables.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 186","pages":"1-29"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9721490","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}
{"title":"National Hospital Care Survey Demonstration Projects:Mortality Following Nonfatal Opioid Overdose Visits to the Emergency Department.","authors":"M. Spencer, Donielle G White, Geoff Jackson","doi":"10.15620/cdc:127054","DOIUrl":"https://doi.org/10.15620/cdc:127054","url":null,"abstract":"Objective-This report provides a descriptive analysis of a sample of adult patients who visited the emergency department (ED) for nonfatal opioid overdose (NOO), using restricted-use 2016 National Hospital Care Survey data linked to the 2016-2017 National Death Index and the 2016-2017 Drug-Involved Mortality data from the National Center for Health Statistics.","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":"187 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43409875","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}
Merianne Rose Spencer, Donielle G White, Geoffrey Jackson
{"title":"National Hospital Care Survey Demonstration Projects:Mortality Following Nonfatal Opioid Overdose Visits to the Emergency Department.","authors":"Merianne Rose Spencer, Donielle G White, Geoffrey Jackson","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objective-This report provides a descriptive analysis of a sample of adult patients who visited the emergency department (ED) for nonfatal opioid overdose (NOO), using restricted-use 2016 National Hospital Care Survey data linked to the 2016-2017 National Death Index and the 2016-2017 Drug-Involved Mortality data from the National Center for Health Statistics.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 187","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9721492","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}
Amanda E Ng, Dzifa Adjaye-Gbewonyo, Anjel Vahratian
{"title":"Health Conditions and Health Care Use Among American Indian and Alaska Native Adults by Tribal Land Residential Status: United States, 2019-2021.","authors":"Amanda E Ng, Dzifa Adjaye-Gbewonyo, Anjel Vahratian","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objective-This report presents estimates for selected health conditions and health care use among American Indian and Alaska Native (AIAN) adults by tribal land residential status.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 185","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9721491","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}
Zachary J Peters, Loredana Santo, Danielle Davis, Carol J DeFrances
{"title":"Emergency Department Visits Related to Mental Health Disorders Among Adults, by Race and Hispanic Ethnicity: United States, 2018-2020.","authors":"Zachary J Peters, Loredana Santo, Danielle Davis, Carol J DeFrances","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objective-This report describes emergency department (ED) visits related to mental health disorders among adults and assesses differences in mental health-related ED visit characteristics by race and Hispanic ethnicity.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 181","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9635813","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}
Z. Peters, Loredana Santo, D. Davis, Carol DeFrances
{"title":"Emergency Department Visits Related to Mental Health Disorders Among Adults, by Race and Hispanic Ethnicity: United States, 2018-2020.","authors":"Z. Peters, Loredana Santo, D. Davis, Carol DeFrances","doi":"10.15620/cdc:123507","DOIUrl":"https://doi.org/10.15620/cdc:123507","url":null,"abstract":"Objective-This report describes emergency department (ED) visits related to mental health disorders among adults and assesses differences in mental health-related ED visit characteristics by race and Hispanic ethnicity.","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":"181 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44644399","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}
{"title":"Financial Burden of Medical Care Among Veterans Aged 25-64, by Health Insurance Coverage:United States, 2019-2021.","authors":"Robin A Cohen, Peter Boersma","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objective-In addition to health insurance coverage options available to the general population, veterans may have access to Tricare, a healthcare program for uniformed services members and retirees, and U.S. Department of Veterans Affairs (VA) health care. This report measures the financial burden of medical care among veterans aged 25-64 and examines how that burden may vary by health insurance coverage.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 182","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9281859","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}
{"title":"Financial Burden of Medical Care Among Veterans Aged 25-64, by Health Insurance Coverage:United States, 2019-2021.","authors":"R. Cohen, Peter Boersma","doi":"10.15620/cdc:124453","DOIUrl":"https://doi.org/10.15620/cdc:124453","url":null,"abstract":"Objective-In addition to health insurance coverage options available to the general population, veterans may have access to Tricare, a healthcare program for uniformed services members and retirees, and U.S. Department of Veterans Affairs (VA) health care. This report measures the financial burden of medical care among veterans aged 25-64 and examines how that burden may vary by health insurance coverage.","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":"182 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41513518","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}