Raj G Kumar, Andrew Delgado, John D Corrigan, C B Eagye, Gale G Whiteneck, Shannon B Juengst, Librada Callender, Jennifer A Bogner, Shanti M Pinto, Amanda R Rabinowitz, Paul B Perrin, Umesh M Venkatesan, Amanda L Botticello, Anthony H Lequerica, Shameeke Taylor, Ross D Zafonte, Kristen Dams-O'Connor
{"title":"TBI 模型系统邻里社会经济劣势指数(TBIMS-NSDI):开发及与个人社会经济特征的比较。","authors":"Raj G Kumar, Andrew Delgado, John D Corrigan, C B Eagye, Gale G Whiteneck, Shannon B Juengst, Librada Callender, Jennifer A Bogner, Shanti M Pinto, Amanda R Rabinowitz, Paul B Perrin, Umesh M Venkatesan, Amanda L Botticello, Anthony H Lequerica, Shameeke Taylor, Ross D Zafonte, Kristen Dams-O'Connor","doi":"10.1097/HTR.0000000000000968","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To create a census-based composite neighborhood socioeconomic deprivation index (NSDI) from geocoded residential addresses and to quantify how NSDI aligns with individual-level socioeconomic factors among people with traumatic brain injury (TBI).</p><p><strong>Setting: </strong>Community.</p><p><strong>Participants: </strong>People enrolled in the TBI Model Systems National Database (TBIMS NDB).</p><p><strong>Design: </strong>Secondary analysis of a longitudinal cohort study.</p><p><strong>Main measures: </strong>The TBIMS-NSDI was calculated at the census tract level for the United States population based on a principal components analysis of eight census tract-level variables from the American Community Survey. Individual socioeconomic characteristics from the TBIMS NDB were personal household income, education (years), and unemployment status. Neighborhood:Individual NSDI residuals represent the difference between predicted neighborhood disadvantage based on individual socioeconomic characteristics versus observed neighborhood disadvantage based on the TBIMS-NSDI.</p><p><strong>Results: </strong>A single principal component was found to encompass the eight socioeconomic neighborhood-level variables. It was normally distributed across follow-up years 2, 5, and 10 post-injury in the TBIMS NDB. In all years, the TBIMS-NDSI was significantly associated with individual-level measures of household income and education but not unemployment status. Males, persons of Black and Hispanic background, Medicaid recipients, persons with TBI caused by violence, and those living in urban areas, as well as in the Northeast or Southern regions of the United States, were more likely to have greater neighborhood disadvantage than predicted based on their individual socioeconomic characteristics.</p><p><strong>Conclusions: </strong>The TBIMS-NSDI provides a neighborhood-level indicator of socioeconomic disadvantage, an important social determinant of outcomes from TBI. The Neighborhood:Individual NSDI residual adds another dimension to the TBIMS-NSDI by summarizing how a person's socioeconomic status aligns with their neighborhood socioeconomics. Future studies should evaluate how both measures affect TBI recovery and life quality. Research studying neighborhood socioeconomic disadvantage may improve our understanding of how systemic adversity influences outcomes after TBI.</p>","PeriodicalId":15901,"journal":{"name":"Journal of Head Trauma Rehabilitation","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The TBI Model Systems Neighborhood Socioeconomic Disadvantage Index (TBIMS-NSDI): Development and Comparison to Individual Socioeconomic Characteristics.\",\"authors\":\"Raj G Kumar, Andrew Delgado, John D Corrigan, C B Eagye, Gale G Whiteneck, Shannon B Juengst, Librada Callender, Jennifer A Bogner, Shanti M Pinto, Amanda R Rabinowitz, Paul B Perrin, Umesh M Venkatesan, Amanda L Botticello, Anthony H Lequerica, Shameeke Taylor, Ross D Zafonte, Kristen Dams-O'Connor\",\"doi\":\"10.1097/HTR.0000000000000968\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To create a census-based composite neighborhood socioeconomic deprivation index (NSDI) from geocoded residential addresses and to quantify how NSDI aligns with individual-level socioeconomic factors among people with traumatic brain injury (TBI).</p><p><strong>Setting: </strong>Community.</p><p><strong>Participants: </strong>People enrolled in the TBI Model Systems National Database (TBIMS NDB).</p><p><strong>Design: </strong>Secondary analysis of a longitudinal cohort study.</p><p><strong>Main measures: </strong>The TBIMS-NSDI was calculated at the census tract level for the United States population based on a principal components analysis of eight census tract-level variables from the American Community Survey. Individual socioeconomic characteristics from the TBIMS NDB were personal household income, education (years), and unemployment status. Neighborhood:Individual NSDI residuals represent the difference between predicted neighborhood disadvantage based on individual socioeconomic characteristics versus observed neighborhood disadvantage based on the TBIMS-NSDI.</p><p><strong>Results: </strong>A single principal component was found to encompass the eight socioeconomic neighborhood-level variables. It was normally distributed across follow-up years 2, 5, and 10 post-injury in the TBIMS NDB. In all years, the TBIMS-NDSI was significantly associated with individual-level measures of household income and education but not unemployment status. Males, persons of Black and Hispanic background, Medicaid recipients, persons with TBI caused by violence, and those living in urban areas, as well as in the Northeast or Southern regions of the United States, were more likely to have greater neighborhood disadvantage than predicted based on their individual socioeconomic characteristics.</p><p><strong>Conclusions: </strong>The TBIMS-NSDI provides a neighborhood-level indicator of socioeconomic disadvantage, an important social determinant of outcomes from TBI. The Neighborhood:Individual NSDI residual adds another dimension to the TBIMS-NSDI by summarizing how a person's socioeconomic status aligns with their neighborhood socioeconomics. Future studies should evaluate how both measures affect TBI recovery and life quality. Research studying neighborhood socioeconomic disadvantage may improve our understanding of how systemic adversity influences outcomes after TBI.</p>\",\"PeriodicalId\":15901,\"journal\":{\"name\":\"Journal of Head Trauma Rehabilitation\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Head Trauma Rehabilitation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/HTR.0000000000000968\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Head Trauma Rehabilitation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/HTR.0000000000000968","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
The TBI Model Systems Neighborhood Socioeconomic Disadvantage Index (TBIMS-NSDI): Development and Comparison to Individual Socioeconomic Characteristics.
Objective: To create a census-based composite neighborhood socioeconomic deprivation index (NSDI) from geocoded residential addresses and to quantify how NSDI aligns with individual-level socioeconomic factors among people with traumatic brain injury (TBI).
Setting: Community.
Participants: People enrolled in the TBI Model Systems National Database (TBIMS NDB).
Design: Secondary analysis of a longitudinal cohort study.
Main measures: The TBIMS-NSDI was calculated at the census tract level for the United States population based on a principal components analysis of eight census tract-level variables from the American Community Survey. Individual socioeconomic characteristics from the TBIMS NDB were personal household income, education (years), and unemployment status. Neighborhood:Individual NSDI residuals represent the difference between predicted neighborhood disadvantage based on individual socioeconomic characteristics versus observed neighborhood disadvantage based on the TBIMS-NSDI.
Results: A single principal component was found to encompass the eight socioeconomic neighborhood-level variables. It was normally distributed across follow-up years 2, 5, and 10 post-injury in the TBIMS NDB. In all years, the TBIMS-NDSI was significantly associated with individual-level measures of household income and education but not unemployment status. Males, persons of Black and Hispanic background, Medicaid recipients, persons with TBI caused by violence, and those living in urban areas, as well as in the Northeast or Southern regions of the United States, were more likely to have greater neighborhood disadvantage than predicted based on their individual socioeconomic characteristics.
Conclusions: The TBIMS-NSDI provides a neighborhood-level indicator of socioeconomic disadvantage, an important social determinant of outcomes from TBI. The Neighborhood:Individual NSDI residual adds another dimension to the TBIMS-NSDI by summarizing how a person's socioeconomic status aligns with their neighborhood socioeconomics. Future studies should evaluate how both measures affect TBI recovery and life quality. Research studying neighborhood socioeconomic disadvantage may improve our understanding of how systemic adversity influences outcomes after TBI.
期刊介绍:
The Journal of Head Trauma Rehabilitation is a leading, peer-reviewed resource that provides up-to-date information on the clinical management and rehabilitation of persons with traumatic brain injuries. Six issues each year aspire to the vision of “knowledge informing care” and include a wide range of articles, topical issues, commentaries and special features. It is the official journal of the Brain Injury Association of America (BIAA).