Amanda E Ng, Dzifa Adjaye-Gbewonyo, James M Dahlhamer
Objective: Nonfinancial access barriers to care describe various reasons why adults may delay or not get medical care, beyond cost. This report focuses on five access barriers to care and describes the percentage of U.S. adults who delayed or did not get medical care in the past 12 months because of 1) being too busy with work or other commitments; 2) an appointment not being available when needed; 3) not being able to get to the doctor's office or clinic when open; 4) difficulty finding a doctor, clinic, or hospital that would accept their health insurance; and 5) it taking too long to get to the doctor's office or clinic from their house or work.
Methods: Data from the 2022 National Health Interview Survey were used to produce estimates of the percentage of adults who delayed or did not get medical care in the past 12 months because of those access barriers to care, overall and by selected sociodemographic characteristics.
Results: Among U.S. adults in 2022, 12.5% delayed or did not get medical care in the past 12 months because they were too busy to go to a provider, 10.6% could not find an available appointment when needed, 4.6% were unable to get to a provider when open, 4.4% had difficulty finding a doctor compatible with their health insurance, and 2.4% responded that it takes too long to get to a provider. Percentages varied by sociodemographic characteristics.
Conclusion: This study provides nationally representative estimates of selected nonfinancial access barriers to medical care, both overall and for selected sociodemographic groups. Findings suggest that nonfinancial access barriers to care are widespread in the United States, and ongoing monitoring may help to address inequities in access to care.
{"title":"Sociodemographic Differences in Nonfinancial Access Barriers to Health Care Among Adults: United States, 2022.","authors":"Amanda E Ng, Dzifa Adjaye-Gbewonyo, James M Dahlhamer","doi":"10.15620/cdc/158782","DOIUrl":"10.15620/cdc/158782","url":null,"abstract":"<p><strong>Objective: </strong>Nonfinancial access barriers to care describe various reasons why adults may delay or not get medical care, beyond cost. This report focuses on five access barriers to care and describes the percentage of U.S. adults who delayed or did not get medical care in the past 12 months because of 1) being too busy with work or other commitments; 2) an appointment not being available when needed; 3) not being able to get to the doctor's office or clinic when open; 4) difficulty finding a doctor, clinic, or hospital that would accept their health insurance; and 5) it taking too long to get to the doctor's office or clinic from their house or work.</p><p><strong>Methods: </strong>Data from the 2022 National Health Interview Survey were used to produce estimates of the percentage of adults who delayed or did not get medical care in the past 12 months because of those access barriers to care, overall and by selected sociodemographic characteristics.</p><p><strong>Results: </strong>Among U.S. adults in 2022, 12.5% delayed or did not get medical care in the past 12 months because they were too busy to go to a provider, 10.6% could not find an available appointment when needed, 4.6% were unable to get to a provider when open, 4.4% had difficulty finding a doctor compatible with their health insurance, and 2.4% responded that it takes too long to get to a provider. Percentages varied by sociodemographic characteristics.</p><p><strong>Conclusion: </strong>This study provides nationally representative estimates of selected nonfinancial access barriers to medical care, both overall and for selected sociodemographic groups. Findings suggest that nonfinancial access barriers to care are widespread in the United States, and ongoing monitoring may help to address inequities in access to care.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 207","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11513743/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142470289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Benjamin Zablotsky, Amanda E Ng, Lindsey I Black, Jonaki Bose, Jessica R Jones, Aaron K Maitland, Stephen J Blumberg
Objective: This report uses data from the National Health Interview Survey and National Health Interview Survey-Teen to estimate the prevalence of self-reported social and emotional support among teenagers ages 12-17 years, describe differences in health and well-being outcomes by level of support received, and compare teen- and parent-reported estimates for social and emotional support overall and by selected teen and family characteristics.
Methods: The percentage of teenagers who self-reported always or usually receiving social and emotional support by selected demographic characteristics, and potential differences in health outcomes by level of support, were estimated using data from the National Health Interview Survey-Teen collected from July 2021 through December 2022. In addition, data from the same time period from the National Health Interview Survey were used to compare parent-reported estimates of their teenager's social and emotional supports with the teenager's self-reported estimates.
Results: In 2021-2022, 58.5% of teenagers reported always or usually receiving the social and emotional support they needed. Differences were seen by several demographic characteristics including sex, race and Hispanic origin, sexual or gender minority status, highest parental education level, and family income level. Teenagers who always or usually received support were less likely to report poor or fair health, anxiety or depression symptoms, very low life satisfaction, and poor sleep quality. Parents consistently reported higher perceived levels of their teenager's social and emotional support compared with the teenager's self-report.
{"title":"Perceived Social and Emotional Support Among Teenagers: United States, July 2021-December 2022.","authors":"Benjamin Zablotsky, Amanda E Ng, Lindsey I Black, Jonaki Bose, Jessica R Jones, Aaron K Maitland, Stephen J Blumberg","doi":"10.15620/cdc/156514","DOIUrl":"10.15620/cdc/156514","url":null,"abstract":"<p><strong>Objective: </strong>This report uses data from the National Health Interview Survey and National Health Interview Survey-Teen to estimate the prevalence of self-reported social and emotional support among teenagers ages 12-17 years, describe differences in health and well-being outcomes by level of support received, and compare teen- and parent-reported estimates for social and emotional support overall and by selected teen and family characteristics.</p><p><strong>Methods: </strong>The percentage of teenagers who self-reported always or usually receiving social and emotional support by selected demographic characteristics, and potential differences in health outcomes by level of support, were estimated using data from the National Health Interview Survey-Teen collected from July 2021 through December 2022. In addition, data from the same time period from the National Health Interview Survey were used to compare parent-reported estimates of their teenager's social and emotional supports with the teenager's self-reported estimates.</p><p><strong>Results: </strong>In 2021-2022, 58.5% of teenagers reported always or usually receiving the social and emotional support they needed. Differences were seen by several demographic characteristics including sex, race and Hispanic origin, sexual or gender minority status, highest parental education level, and family income level. Teenagers who always or usually received support were less likely to report poor or fair health, anxiety or depression symptoms, very low life satisfaction, and poor sleep quality. Parents consistently reported higher perceived levels of their teenager's social and emotional support compared with the teenager's self-report.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 206","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11513745/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142391910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objectives-This report describes emergency department (ED) visits by homeless status and sex. Methods-Nationally representative estimates were calculated from data collected in the 2016-2021 National Hospital Ambulatory Medical Care Survey, an annual national probability sample survey of ED visits in the United States. Visits by people experiencing homelessness were defined using data on patient residence from medical records. Visits by males and females experiencing homelessness are compared with each other and with visits by males and females not experiencing homelessness. Results-During 2016-2021, approximately 981,000 and 460,000 ED visits were made annually by males and females experiencing homelessness, respectively. Significant differences by sex were found for this population for many ED visit characteristics, including arrival by ambulance, diagnoses, and chronic conditions. ED visits by males and females experiencing homelessness also differed significantly from ED visits by males and females not experiencing homelessness based on age, geographic region, expected source of payment, primary diagnosis, chronic conditions, and other characteristics. Conclusion-This report highlights certain differences by sex among the population experiencing homelessness who visited the ED and compares them with people who visited the ED but were not experiencing homelessness.
目标--本报告介绍了按无家可归者身份和性别分列的急诊科(ED)就诊情况。方法--根据 2016-2021 年全美医院非住院医疗护理调查(National Hospital Ambulatory Medical Care Survey)收集的数据计算出具有全国代表性的估计值,该调查是一项针对美国急诊科就诊情况的年度全国概率抽样调查。无家可归者的就诊是根据医疗记录中的患者居住地数据定义的。无家可归的男性和女性就诊者之间以及无家可归的男性和女性就诊者之间进行了比较。结果--2016-2021 年间,无家可归的男性和女性每年的急诊就诊人次分别约为 98.1 万和 46 万。在许多急诊室就诊特征(包括救护车到达、诊断和慢性病)方面,该人群的性别差异显著。在年龄、地理区域、预期付款来源、主要诊断、慢性病和其他特征方面,无家可归的男性和女性在急诊室就诊也与非无家可归的男性和女性有显著差异。结论--本报告强调了就诊于急诊室的无家可归者在性别上的某些差异,并将其与就诊于急诊室但并非无家可归者的人群进行了比较。
{"title":"Emergency Department Visits by Homeless Status and Sex: United States, 2016-2021.","authors":"Susan M Schappert, Loredana Santo","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objectives-This report describes emergency department (ED) visits by homeless status and sex. Methods-Nationally representative estimates were calculated from data collected in the 2016-2021 National Hospital Ambulatory Medical Care Survey, an annual national probability sample survey of ED visits in the United States. Visits by people experiencing homelessness were defined using data on patient residence from medical records. Visits by males and females experiencing homelessness are compared with each other and with visits by males and females not experiencing homelessness. Results-During 2016-2021, approximately 981,000 and 460,000 ED visits were made annually by males and females experiencing homelessness, respectively. Significant differences by sex were found for this population for many ED visit characteristics, including arrival by ambulance, diagnoses, and chronic conditions. ED visits by males and females experiencing homelessness also differed significantly from ED visits by males and females not experiencing homelessness based on age, geographic region, expected source of payment, primary diagnosis, chronic conditions, and other characteristics. Conclusion-This report highlights certain differences by sex among the population experiencing homelessness who visited the ED and compares them with people who visited the ED but were not experiencing homelessness.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 204","pages":"1-21"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141443031","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}
Objectives-This report examines changes in telemedicine use among U.S. adults between 2021 and 2022 by selected sociodemographic and geographic characteristics. Methods-Data from the 2021 and 2022 National Health Interview Survey were used to assess changes between these 2 years in the percentage of adults who used telemedicine in the previous 12 months, by sex, age, race and Hispanic origin, family income, education, region of residence, urbanization level, and health insurance coverage. Results-Overall, the percentage of adults who used telemedicine in the past 12 months decreased from 37.0% in 2021 to 30.1% in 2022. This pattern was observed across several sociodemographic and geographic characteristics, such as sex, family income, education, region, and urbanization level. Women, adults with a college degree or higher, and adults living in more urban areas were all more likely to use telemedicine in 2022. In 2021 and 2022, uninsured adults ages 18-64 were less likely to use telemedicine compared with those who had private or public insurance, while adults age 65 and older who had Medicare only were less likely to use telemedicine compared with those with other types of insurance. However, for both age groups, telemedicine use decreased from 2021 to 2022 for all insurance types except public coverage for adults ages 18-64. Summary-National Health Interview Survey data may be used to monitor national trends and understand patterns of telemedicine use by sociodemographic and geographic characteristics as the transition forward from the global COVID-19 pandemic continues.
{"title":"Declines in Telemedicine Use Among Adults: United States, 2021 and 2022.","authors":"Jacqueline W Lucas, Xun Wang","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objectives-This report examines changes in telemedicine use among U.S. adults between 2021 and 2022 by selected sociodemographic and geographic characteristics. Methods-Data from the 2021 and 2022 National Health Interview Survey were used to assess changes between these 2 years in the percentage of adults who used telemedicine in the previous 12 months, by sex, age, race and Hispanic origin, family income, education, region of residence, urbanization level, and health insurance coverage. Results-Overall, the percentage of adults who used telemedicine in the past 12 months decreased from 37.0% in 2021 to 30.1% in 2022. This pattern was observed across several sociodemographic and geographic characteristics, such as sex, family income, education, region, and urbanization level. Women, adults with a college degree or higher, and adults living in more urban areas were all more likely to use telemedicine in 2022. In 2021 and 2022, uninsured adults ages 18-64 were less likely to use telemedicine compared with those who had private or public insurance, while adults age 65 and older who had Medicare only were less likely to use telemedicine compared with those with other types of insurance. However, for both age groups, telemedicine use decreased from 2021 to 2022 for all insurance types except public coverage for adults ages 18-64. Summary-National Health Interview Survey data may be used to monitor national trends and understand patterns of telemedicine use by sociodemographic and geographic characteristics as the transition forward from the global COVID-19 pandemic continues.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 205","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141443077","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}
Objectives-This report presents estimates of diagnosed dementia in the U.S. civilian noninstitutionalized population age 65 and older by selected sociodemographic characteristics. Methods-Data from the 2022 National Health Interview Survey were used to estimate the percentage of noninstitutionalized older adults with a dementia diagnosis. Information was self-reported unless a knowledgeable proxy responded to questions when the respondent was physically or mentally unable to answer. Prevalence of diagnosed dementia among older adults is presented by age, sex, race and Hispanic origin, veteran status, education, family income as a percentage of the federal poverty level, urbanization, and region. Estimates of dementia reporting by proxy respondent status and interview mode also are presented. Results-In 2022, 4.0% of adults age 65 and older reported ever having received a dementia diagnosis. The percentage of adults with a dementia diagnosis was similar for men (3.8%) and women (4.2%). The percentage of adults with a dementia diagnosis increased with age, from 1.7% in those ages 65-74 to 13.1% in those age 85 and older, and decreased with rising education level, from 7.9% in adults age 65 and older with less than a high school diploma to 2.2% in those with a college degree or higher. Overall levels of older adults with a dementia diagnosis did not vary significantly by mode of interview (telephone or in person).
{"title":"Diagnosed Dementia in Adults Age 65 and Older:United States, 2022.","authors":"Ellen A Kramarow","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objectives-This report presents estimates of diagnosed dementia in the U.S. civilian noninstitutionalized population age 65 and older by selected sociodemographic characteristics. Methods-Data from the 2022 National Health Interview Survey were used to estimate the percentage of noninstitutionalized older adults with a dementia diagnosis. Information was self-reported unless a knowledgeable proxy responded to questions when the respondent was physically or mentally unable to answer. Prevalence of diagnosed dementia among older adults is presented by age, sex, race and Hispanic origin, veteran status, education, family income as a percentage of the federal poverty level, urbanization, and region. Estimates of dementia reporting by proxy respondent status and interview mode also are presented. Results-In 2022, 4.0% of adults age 65 and older reported ever having received a dementia diagnosis. The percentage of adults with a dementia diagnosis was similar for men (3.8%) and women (4.2%). The percentage of adults with a dementia diagnosis increased with age, from 1.7% in those ages 65-74 to 13.1% in those age 85 and older, and decreased with rising education level, from 7.9% in adults age 65 and older with less than a high school diploma to 2.2% in those with a college degree or higher. Overall levels of older adults with a dementia diagnosis did not vary significantly by mode of interview (telephone or in person).</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 203","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141443030","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}
Objectives-Using National Survey of Family Growth data from 2015-2019, this report presents updated national estimates of infertility in U.S. women and men and estimates of impaired fecundity (physical ability to have children) in U.S. women. Detailed demographic breakdowns are also presented, and overall estimates for 2015-2019 are compared with those for 2011-2015. Methods-Data for this report come primarily from the 2015-2019 National Survey of Family Growth, which consisted of 21,441 interviews with men and women ages 15-49, conducted from September 2015 through September 2019. The response rate was 65.9% for women and 62.4% for men. Results-The percentage of women ages 15-44 who had impaired fecundity did not change between 2011-2015 and 2015-2019. The percentage of married women with impaired fecundity also remained stable over this time period. Among all women, 13.4% of women ages 15-49 and 15.4% of women ages 25-49 had impaired fecundity in 2015-2019. The percentage of married women ages 15-44 who were infertile rose from 2011-2015 (6.7%) to 2015-2019 (8.7%). Among married and cohabiting women ages 15-49 in 2015-2019, 7.8% had infertility. Both infertility and impaired fecundity were associated with age for nulliparous (never had a live birth) women after adjusting for other factors. Some form of infertility (either subfertility or nonsurgical sterility) was seen in 11.4% of men ages 15-49 and 12.8% of men ages 25-49 in 2015-2019. . Conclusion-Although these findings are not nationally representative, this report illustrates how linked NHCS-HUD data may provide insight into maternal health outcomes of patients who received housing assistance compared with those who did not.
{"title":"Infertility and Impaired Fecundity in Women and Men in the United States, 2015-2019.","authors":"Colleen N Nugent, Anjani Chandra","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objectives-Using National Survey of Family Growth data from 2015-2019, this report presents updated national estimates of infertility in U.S. women and men and estimates of impaired fecundity (physical ability to have children) in U.S. women. Detailed demographic breakdowns are also presented, and overall estimates for 2015-2019 are compared with those for 2011-2015. Methods-Data for this report come primarily from the 2015-2019 National Survey of Family Growth, which consisted of 21,441 interviews with men and women ages 15-49, conducted from September 2015 through September 2019. The response rate was 65.9% for women and 62.4% for men. Results-The percentage of women ages 15-44 who had impaired fecundity did not change between 2011-2015 and 2015-2019. The percentage of married women with impaired fecundity also remained stable over this time period. Among all women, 13.4% of women ages 15-49 and 15.4% of women ages 25-49 had impaired fecundity in 2015-2019. The percentage of married women ages 15-44 who were infertile rose from 2011-2015 (6.7%) to 2015-2019 (8.7%). Among married and cohabiting women ages 15-49 in 2015-2019, 7.8% had infertility. Both infertility and impaired fecundity were associated with age for nulliparous (never had a live birth) women after adjusting for other factors. Some form of infertility (either subfertility or nonsurgical sterility) was seen in 11.4% of men ages 15-49 and 12.8% of men ages 25-49 in 2015-2019. . Conclusion-Although these findings are not nationally representative, this report illustrates how linked NHCS-HUD data may provide insight into maternal health outcomes of patients who received housing assistance compared with those who did not.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 202","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140896175","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}
Josephine M Alford, Lello Guluma, Doreen M Gidali, Geoffrey Jackson
Objectives-Objective-This report demonstrates the use of linked National Hospital Care Survey (NHCS) and U.S. Department of Housing and Urban Development (HUD) administrative data to examine demographic characteristics and maternal health outcomes among both patients who received and did not receive housing assistance. Methods-Administrative claims data and electronic health records data from the 2016 NHCS were linked to 2015-2017 HUD administrative data using patient identifiers. HUD administrative data for Housing Choice Voucher, Public Housing, and Multifamily housing program participation were used to identify patients who received housing assistance before, during, or after their delivery hospitalization. Exploratory analyses were conducted for patients who had a delivery hospitalization in 2016 and were eligible for linkage to HUD administrative data. Demographic characteristics and maternal health outcomes were compared by housing assistance status. The linked NHCS-HUD data are unweighted and not nationally representative. Results-In the 2016 NHCS, 146,672 patients had a delivery hospitalization and were eligible for linkage to 2015-2017 HUD administrative data (95.6% had a live birth, 1.0% had a stillbirth, and 3.4% were unspecified). Among this study population, 9,559 patients (6.5%) received housing assistance from 2015 to 2017. Among those who received housing assistance, 66.5% visited large metropolitan hospitals, 71.8% were insured by Medicaid, and 3.0% experienced severe maternal morbidity. Among patients who did not receive housing assistance, 74.0% visited large metropolitan hospitals, 35.6% were insured by Medicaid, and 1.9% experienced severe maternal morbidity. Nearly two-thirds of patients who received housing assistance from 2015 to 2017 were receiving housing assistance at the time of their delivery hospitalization (63.6%). Conclusion-Although these findings are not nationally representative, this report illustrates how linked NHCS-HUD data may provide insight into maternal health outcomes of patients who received housing assistance compared with those who did not.
{"title":"National Hospital Care Survey Demonstration Projects: Examination of Maternal Health Outcomes by Housing Assistance Status.","authors":"Josephine M Alford, Lello Guluma, Doreen M Gidali, Geoffrey Jackson","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objectives-Objective-This report demonstrates the use of linked National Hospital Care Survey (NHCS) and U.S. Department of Housing and Urban Development (HUD) administrative data to examine demographic characteristics and maternal health outcomes among both patients who received and did not receive housing assistance. Methods-Administrative claims data and electronic health records data from the 2016 NHCS were linked to 2015-2017 HUD administrative data using patient identifiers. HUD administrative data for Housing Choice Voucher, Public Housing, and Multifamily housing program participation were used to identify patients who received housing assistance before, during, or after their delivery hospitalization. Exploratory analyses were conducted for patients who had a delivery hospitalization in 2016 and were eligible for linkage to HUD administrative data. Demographic characteristics and maternal health outcomes were compared by housing assistance status. The linked NHCS-HUD data are unweighted and not nationally representative. Results-In the 2016 NHCS, 146,672 patients had a delivery hospitalization and were eligible for linkage to 2015-2017 HUD administrative data (95.6% had a live birth, 1.0% had a stillbirth, and 3.4% were unspecified). Among this study population, 9,559 patients (6.5%) received housing assistance from 2015 to 2017. Among those who received housing assistance, 66.5% visited large metropolitan hospitals, 71.8% were insured by Medicaid, and 3.0% experienced severe maternal morbidity. Among patients who did not receive housing assistance, 74.0% visited large metropolitan hospitals, 35.6% were insured by Medicaid, and 1.9% experienced severe maternal morbidity. Nearly two-thirds of patients who received housing assistance from 2015 to 2017 were receiving housing assistance at the time of their delivery hospitalization (63.6%). Conclusion-Although these findings are not nationally representative, this report illustrates how linked NHCS-HUD data may provide insight into maternal health outcomes of patients who received housing assistance compared with those who did not.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 201","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140336204","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}
Josephine Alford, Lello Guluma, Doreen Gidali, Geoffrey Jackson
Objectives-Objective-This report demonstrates the use of linked National Hospital Care Survey (NHCS) and U.S. Department of Housing and Urban Development (HUD) administrative data to examine demographic characteristics and maternal health outcomes among both patients who received and did not receive housing assistance. Methods-Administrative claims data and electronic health records data from the 2016 NHCS were linked to 2015-2017 HUD administrative data using patient identifiers. HUD administrative data for Housing Choice Voucher, Public Housing, and Multifamily housing program participation were used to identify patients who received housing assistance before, during, or after their delivery hospitalization. Exploratory analyses were conducted for patients who had a delivery hospitalization in 2016 and were eligible for linkage to HUD administrative data. Demographic characteristics and maternal health outcomes were compared by housing assistance status. The linked NHCS-HUD data are unweighted and not nationally representative. Results-In the 2016 NHCS, 146,672 patients had a delivery hospitalization and were eligible for linkage to 2015-2017 HUD administrative data (95.6% had a live birth, 1.0% had a stillbirth, and 3.4% were unspecified). Among this study population, 9,559 patients (6.5%) received housing assistance from 2015 to 2017. Among those who received housing assistance, 66.5% visited large metropolitan hospitals, 71.8% were insured by Medicaid, and 3.0% experienced severe maternal morbidity. Among patients who did not receive housing assistance, 74.0% visited large metropolitan hospitals, 35.6% were insured by Medicaid, and 1.9% experienced severe maternal morbidity. Nearly two-thirds of patients who received housing assistance from 2015 to 2017 were receiving housing assistance at the time of their delivery hospitalization (63.6%). Conclusion-Although these findings are not nationally representative, this report illustrates how linked NHCS-HUD data may provide insight into maternal health outcomes of patients who received housing assistance compared with those who did not.
{"title":"National Hospital Care Survey Demonstration Projects: Examination of Maternal Health Outcomes by Housing Assistance Status.","authors":"Josephine Alford, Lello Guluma, Doreen Gidali, Geoffrey Jackson","doi":"10.15620/cdc:147100","DOIUrl":"https://doi.org/10.15620/cdc:147100","url":null,"abstract":"Objectives-Objective-This report demonstrates the use of linked National Hospital Care Survey (NHCS) and U.S. Department of Housing and Urban Development (HUD) administrative data to examine demographic characteristics and maternal health outcomes among both patients who received and did not receive housing assistance. Methods-Administrative claims data and electronic health records data from the 2016 NHCS were linked to 2015-2017 HUD administrative data using patient identifiers. HUD administrative data for Housing Choice Voucher, Public Housing, and Multifamily housing program participation were used to identify patients who received housing assistance before, during, or after their delivery hospitalization. Exploratory analyses were conducted for patients who had a delivery hospitalization in 2016 and were eligible for linkage to HUD administrative data. Demographic characteristics and maternal health outcomes were compared by housing assistance status. The linked NHCS-HUD data are unweighted and not nationally representative. Results-In the 2016 NHCS, 146,672 patients had a delivery hospitalization and were eligible for linkage to 2015-2017 HUD administrative data (95.6% had a live birth, 1.0% had a stillbirth, and 3.4% were unspecified). Among this study population, 9,559 patients (6.5%) received housing assistance from 2015 to 2017. Among those who received housing assistance, 66.5% visited large metropolitan hospitals, 71.8% were insured by Medicaid, and 3.0% experienced severe maternal morbidity. Among patients who did not receive housing assistance, 74.0% visited large metropolitan hospitals, 35.6% were insured by Medicaid, and 1.9% experienced severe maternal morbidity. Nearly two-thirds of patients who received housing assistance from 2015 to 2017 were receiving housing assistance at the time of their delivery hospitalization (63.6%). Conclusion-Although these findings are not nationally representative, this report illustrates how linked NHCS-HUD data may provide insight into maternal health outcomes of patients who received housing assistance compared with those who did not.","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":"331 6","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140402273","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}
Objectives-This report presents national estimates of self-reported feelings of depression among adults by whether they lived alone or with others. Methods-Data from the 2021 National Health Interview Survey were used to describe differences in self-reported feelings of depression and living arrangement by selected sociodemographic characteristics and social and emotional support among adults age 18 and older. The measure of living arrangement was categorized as living alone or living with others. Results-Overall, 16.0% of adults lived alone in 2021. Reported feelings of depression were higher among adults living alone (6.4%) compared with adults living with others (4.1%), for both men and women, across most race and Hispanic-origin groups, and by family income. Adults who reported never or rarely receiving social and emotional support and living alone were almost twice as likely to report feelings of depression than those never or rarely receiving social and emotional support and living with others (19.6% compared with 11.6%, respectively). Yet no significant difference was seen in reported feelings of depression among those who reported sometimes, usually, or always receiving social and emotional support by whether they were living alone or living with others. Conclusion-Adults living alone had higher reported feelings of depression than adults living with others. Differences in feelings of depression by living arrangement were observed for most of the characteristics examined.
{"title":"Living Alone and Feelings of Depression Among Adults Age 18 and Older.","authors":"Laryssa Mykyta","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objectives-This report presents national estimates of self-reported feelings of depression among adults by whether they lived alone or with others. Methods-Data from the 2021 National Health Interview Survey were used to describe differences in self-reported feelings of depression and living arrangement by selected sociodemographic characteristics and social and emotional support among adults age 18 and older. The measure of living arrangement was categorized as living alone or living with others. Results-Overall, 16.0% of adults lived alone in 2021. Reported feelings of depression were higher among adults living alone (6.4%) compared with adults living with others (4.1%), for both men and women, across most race and Hispanic-origin groups, and by family income. Adults who reported never or rarely receiving social and emotional support and living alone were almost twice as likely to report feelings of depression than those never or rarely receiving social and emotional support and living with others (19.6% compared with 11.6%, respectively). Yet no significant difference was seen in reported feelings of depression among those who reported sometimes, usually, or always receiving social and emotional support by whether they were living alone or living with others. Conclusion-Adults living alone had higher reported feelings of depression than adults living with others. Differences in feelings of depression by living arrangement were observed for most of the characteristics examined.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 199","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139972736","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}
Objectives-Emergency operations plans that are specific to or include response to pandemics, approaches to implement the plans, and related infection control policies and practices vary among residential care communities (RCCs). This report presents nationally representative percentages of RCCs with infection control programs by selected characteristics. Methods-Data are from the RCC component of the 2020 National Post-acute and Long-term Care Study, conducted biennially by the National Center for Health Statistics. The study asked four binary questions, including whether the RCC had a written Emergency Operations Plan that was specific to or included pandemic response, had a designated staff member or consultant responsible for coordinating the infection control program, offered annual influenza vaccination to residents, and offered annual influenza vaccination to all employees or contract staff. RCC characteristics presented in this report are bed size, chain affiliation, ownership status, and provision of dementia-specific care (RCCs that only served residents with dementia or had a dementia wing). Metropolitan statistical area (MSA) was used to characterize geographic location. Results-Most RCCs reported having a written Emergency Operations Plan that was specific to or included pandemic response. A higher percentage of RCCs with more than 26 beds and those with a designated space for dementia care reported having a written Emergency Operations Plan and a designated staff to coordinate an infection control program. The largest differences were observed in the provision of annual influenza vaccination to residents and to all employees or contract staff by MSA status, bed size, and presence of a designated space for dementia care. A higher percentage of RCCs in non-MSAs (83.4%), RCCs with a designated space for dementia care (95.0%), those with more than 50 beds (93.9%), those with 26-50 beds (93.3%), and those with nonprofit ownership (85.8%) offered annual influenza vaccination to all employees or contract staff.
{"title":"Infection Control Policies and Practices in Residential Care Communities by Selected Organizational and Geographic Characteristics: United States, 2020.","authors":"Amanuel Melekin, Manisha Sengupta","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Objectives-Emergency operations plans that are specific to or include response to pandemics, approaches to implement the plans, and related infection control policies and practices vary among residential care communities (RCCs). This report presents nationally representative percentages of RCCs with infection control programs by selected characteristics. Methods-Data are from the RCC component of the 2020 National Post-acute and Long-term Care Study, conducted biennially by the National Center for Health Statistics. The study asked four binary questions, including whether the RCC had a written Emergency Operations Plan that was specific to or included pandemic response, had a designated staff member or consultant responsible for coordinating the infection control program, offered annual influenza vaccination to residents, and offered annual influenza vaccination to all employees or contract staff. RCC characteristics presented in this report are bed size, chain affiliation, ownership status, and provision of dementia-specific care (RCCs that only served residents with dementia or had a dementia wing). Metropolitan statistical area (MSA) was used to characterize geographic location. Results-Most RCCs reported having a written Emergency Operations Plan that was specific to or included pandemic response. A higher percentage of RCCs with more than 26 beds and those with a designated space for dementia care reported having a written Emergency Operations Plan and a designated staff to coordinate an infection control program. The largest differences were observed in the provision of annual influenza vaccination to residents and to all employees or contract staff by MSA status, bed size, and presence of a designated space for dementia care. A higher percentage of RCCs in non-MSAs (83.4%), RCCs with a designated space for dementia care (95.0%), those with more than 50 beds (93.9%), those with 26-50 beds (93.3%), and those with nonprofit ownership (85.8%) offered annual influenza vaccination to all employees or contract staff.</p>","PeriodicalId":18840,"journal":{"name":"National health statistics reports","volume":" 200","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139972737","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}