Pub Date : 2024-04-29DOI: 10.1097/htr.0000000000000944
Jessica Kersey, Hannah Rice, Lisa Tabor Connor, Beth Fields, Joy Hammel
Social support is important for health and functional outcomes after traumatic brain injury (TBI), but many adults with TBI report inadequate social support. Little research has examined the social support priorities of adults with TBI or what an optimal social support network should include. The objective of this study was to describe the social support structures and experiences of adults with TBI.
{"title":"\"They Just Love Me\"-An Examination of Social Support Experiences and Values Among People With TBI.","authors":"Jessica Kersey, Hannah Rice, Lisa Tabor Connor, Beth Fields, Joy Hammel","doi":"10.1097/htr.0000000000000944","DOIUrl":"https://doi.org/10.1097/htr.0000000000000944","url":null,"abstract":"Social support is important for health and functional outcomes after traumatic brain injury (TBI), but many adults with TBI report inadequate social support. Little research has examined the social support priorities of adults with TBI or what an optimal social support network should include. The objective of this study was to describe the social support structures and experiences of adults with TBI.","PeriodicalId":519229,"journal":{"name":"The Journal of Head Trauma Rehabilitation","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140842482","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}
Pub Date : 2024-04-26DOI: 10.1097/HTR.0000000000000907
Chaim M Feigen, Molly F Charney, Simone Glajchen, Cameron Myers, Steven Cherny, Ronni Lipnitsky, Wendy W Yang, Nancy R. Glassman, Michael L Lipton
OBJECTIVE The purpose of this review is to systematically assess primary research publications on known genetic variants, which modify the risk for symptoms or dysfunction persisting 30 days or more following mild traumatic brain injury (mTBI). SUMMARY OF REVIEW A search of PubMed and Embase from inception through June 2022 identified 42 studies that associated genetic variants with the presence of symptoms or cognitive dysfunction 30 days or more following mTBI. Risk of bias was assessed for each publication using the Newcastle Ottawa Scale (NOS). Fifteen of the 22 studies evaluating apolipoprotein E (APOE) ɛ4 concluded that it was associated with worse outcomes and 4 of the 8 studies investigating the brain-derived neurotrophic factor (BDNF) reported the Val66Met allele was associated with poorer outcomes. The review also identified 12 studies associating 28 additional variants with mTBI outcomes. Of these, 8 references associated specific variants with poorer outcomes. Aside from analyses comparing carriers and noncarriers of APOE ɛ4 and BDNF Val66Met, most of the reviewed studies were too dissimilar, particularly in terms of specific outcome measures but also in genes examined, to allow for direct comparisons of their findings. Moreover, these investigations were observational and subject to varying degrees of bias. CONCLUSIONS The most consistent finding across articles was that APOE ɛ4 is associated with persistent post-mTBI impairment (symptoms or cognitive dysfunction) more than 30 days after mTBI. The sparsity of other well-established and consistent findings in the mTBI literature should motivate larger, prospective studies, which characterize the risk for persistent impairment with standardized outcomes in mTBI posed by other genetic variants influencing mTBI recovery.
{"title":"Genetic Variants and Persistent Impairment Following Mild Traumatic Brain Injury: A Systematic Review.","authors":"Chaim M Feigen, Molly F Charney, Simone Glajchen, Cameron Myers, Steven Cherny, Ronni Lipnitsky, Wendy W Yang, Nancy R. Glassman, Michael L Lipton","doi":"10.1097/HTR.0000000000000907","DOIUrl":"https://doi.org/10.1097/HTR.0000000000000907","url":null,"abstract":"OBJECTIVE\u0000The purpose of this review is to systematically assess primary research publications on known genetic variants, which modify the risk for symptoms or dysfunction persisting 30 days or more following mild traumatic brain injury (mTBI).\u0000\u0000\u0000SUMMARY OF REVIEW\u0000A search of PubMed and Embase from inception through June 2022 identified 42 studies that associated genetic variants with the presence of symptoms or cognitive dysfunction 30 days or more following mTBI. Risk of bias was assessed for each publication using the Newcastle Ottawa Scale (NOS). Fifteen of the 22 studies evaluating apolipoprotein E (APOE) ɛ4 concluded that it was associated with worse outcomes and 4 of the 8 studies investigating the brain-derived neurotrophic factor (BDNF) reported the Val66Met allele was associated with poorer outcomes. The review also identified 12 studies associating 28 additional variants with mTBI outcomes. Of these, 8 references associated specific variants with poorer outcomes. Aside from analyses comparing carriers and noncarriers of APOE ɛ4 and BDNF Val66Met, most of the reviewed studies were too dissimilar, particularly in terms of specific outcome measures but also in genes examined, to allow for direct comparisons of their findings. Moreover, these investigations were observational and subject to varying degrees of bias.\u0000\u0000\u0000CONCLUSIONS\u0000The most consistent finding across articles was that APOE ɛ4 is associated with persistent post-mTBI impairment (symptoms or cognitive dysfunction) more than 30 days after mTBI. The sparsity of other well-established and consistent findings in the mTBI literature should motivate larger, prospective studies, which characterize the risk for persistent impairment with standardized outcomes in mTBI posed by other genetic variants influencing mTBI recovery.","PeriodicalId":519229,"journal":{"name":"The Journal of Head Trauma Rehabilitation","volume":"16 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140652010","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}
Pub Date : 2024-04-18DOI: 10.1097/HTR.0000000000000951
Athanasios Tsalatsanis, C. Dismuke-Greer, Ambuj Kumar, Jeanne M. Hoffman, K. Monden, U. Magalang, Daniel J. Schwartz, Aaron M. Martin, R. Nakase-Richardson
OBJECTIVE To assess the cost-effectiveness of alternative approaches to diagnose and treat obstructive sleep apnea (OSA) in patients with traumatic brain injury (TBI) during inpatient rehabilitation. SETTING Data collected during the Comparison of Sleep Apnea Assessment Strategies to Maximize TBI Rehabilitation Participation and Outcome (C-SAS) clinical trial (NCT03033901) on an inpatient rehabilitation TBI cohort were used in this study. STUDY DESIGN Decision tree analysis was used to determine the cost-effectiveness of approaches to diagnosing and treating sleep apnea. Costs were determined using 2021 Centers for Medicare and Medicaid Services reimbursement codes. Effectiveness was defined in terms of the appropriateness of treatment. Costs averted were extracted from the literature. A sensitivity analysis was performed to account for uncertainty. Analyses were performed for all severity levels of OSA and a subgroup of those with moderate to severe OSA. Six inpatient approaches using various phases of screening, testing, and treatment that conform to usual care or guideline-endorsed interventions were evaluated: (1) usual care; (2) portable diagnostic testing followed by laboratory-quality testing; (3) screening with the snoring, tiredness, observed apnea, high BP, BMI, age, neck circumference, and male gender (STOP-Bang) questionnaire; (4) Multivariable Apnea Prediction Index (MAPI) followed by portable diagnostic testing and laboratory-quality testing; (5) laboratory-quality testing for all; and (6) treatment for all patients. MAIN MEASURES Cost, Effectiveness, and Incremental Cost-Effectiveness Ratio (ICER). RESULTS Phased approaches utilizing screening and diagnostic tools were more effective in diagnosing and allocating treatment for OSA than all alternatives in patients with mild to severe and moderate to severe OSA. Usual care was more costly and less effective than all other approaches for mild to severe and moderate to severe OSA. CONCLUSIONS Diagnosing and treating OSA in patients with TBI is a cost-effective strategy when compared with usual care.
目的评估在住院康复期间诊断和治疗创伤性脑损伤（TBI）患者阻塞性睡眠呼吸暂停（OSA）的替代方法的成本效益。研究设计采用决策树分析法确定诊断和治疗睡眠呼吸暂停方法的成本效益。成本使用 2021 年美国医疗保险和医疗补助服务中心的报销代码确定。疗效根据治疗的适当性来定义。从文献中提取了避免的成本。为考虑不确定性因素，进行了敏感性分析。对所有严重程度的 OSA 和中重度 OSA 患者分组进行了分析。对六种住院方法进行了评估，这些方法采用了符合常规护理或指南认可的干预措施的不同阶段的筛查、检测和治疗：(1) 常规护理；(2) 便携式诊断检测，然后进行实验室质量检测；(3) 使用打鼾、疲倦、观察到的呼吸暂停、高血压、体重指数、年龄、颈围和男性性别（STOP-Bang）问卷进行筛查；(4) 多变量呼吸暂停预测指数（MAPI），然后进行便携式诊断检测和实验室质量检测；(5) 对所有患者进行实验室质量检测；以及 (6) 对所有患者进行治疗。结果对于轻度至重度和中度至重度 OSA 患者，利用筛查和诊断工具的分阶段方法在诊断和分配 OSA 治疗方面比所有替代方法更有效。对于轻度至重度和中度至重度 OSA 患者，常规护理比所有其他方法成本更高、效果更差。
{"title":"Cost-Effectiveness of Sleep Apnea Diagnosis and Treatment in Hospitalized Persons With Moderate to Severe Traumatic Brain Injury.","authors":"Athanasios Tsalatsanis, C. Dismuke-Greer, Ambuj Kumar, Jeanne M. Hoffman, K. Monden, U. Magalang, Daniel J. Schwartz, Aaron M. Martin, R. Nakase-Richardson","doi":"10.1097/HTR.0000000000000951","DOIUrl":"https://doi.org/10.1097/HTR.0000000000000951","url":null,"abstract":"OBJECTIVE\u0000To assess the cost-effectiveness of alternative approaches to diagnose and treat obstructive sleep apnea (OSA) in patients with traumatic brain injury (TBI) during inpatient rehabilitation.\u0000\u0000\u0000SETTING\u0000Data collected during the Comparison of Sleep Apnea Assessment Strategies to Maximize TBI Rehabilitation Participation and Outcome (C-SAS) clinical trial (NCT03033901) on an inpatient rehabilitation TBI cohort were used in this study.\u0000\u0000\u0000STUDY DESIGN\u0000Decision tree analysis was used to determine the cost-effectiveness of approaches to diagnosing and treating sleep apnea. Costs were determined using 2021 Centers for Medicare and Medicaid Services reimbursement codes. Effectiveness was defined in terms of the appropriateness of treatment. Costs averted were extracted from the literature. A sensitivity analysis was performed to account for uncertainty. Analyses were performed for all severity levels of OSA and a subgroup of those with moderate to severe OSA. Six inpatient approaches using various phases of screening, testing, and treatment that conform to usual care or guideline-endorsed interventions were evaluated: (1) usual care; (2) portable diagnostic testing followed by laboratory-quality testing; (3) screening with the snoring, tiredness, observed apnea, high BP, BMI, age, neck circumference, and male gender (STOP-Bang) questionnaire; (4) Multivariable Apnea Prediction Index (MAPI) followed by portable diagnostic testing and laboratory-quality testing; (5) laboratory-quality testing for all; and (6) treatment for all patients.\u0000\u0000\u0000MAIN MEASURES\u0000Cost, Effectiveness, and Incremental Cost-Effectiveness Ratio (ICER).\u0000\u0000\u0000RESULTS\u0000Phased approaches utilizing screening and diagnostic tools were more effective in diagnosing and allocating treatment for OSA than all alternatives in patients with mild to severe and moderate to severe OSA. Usual care was more costly and less effective than all other approaches for mild to severe and moderate to severe OSA.\u0000\u0000\u0000CONCLUSIONS\u0000Diagnosing and treating OSA in patients with TBI is a cost-effective strategy when compared with usual care.","PeriodicalId":519229,"journal":{"name":"The Journal of Head Trauma Rehabilitation","volume":" 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140686046","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}
Pub Date : 2024-04-17DOI: 10.1097/HTR.0000000000000955
Laraine Winter, Helene Moriarty, Keith M Robinson, Benjamin E. Leiby, Krista Schmidt, Christina R Whitehouse, R. Swanson
OBJECTIVES Recovery from traumatic brain injury (TBI) is extremely difficult to predict, with TBI severity usually demonstrating weak predictive validity for functional or other outcomes. A possible explanation may lie in the statistical phenomenon called suppression, according to which a third variable masks the true association between predictor and outcome, making it appear weaker than it actually is. Age at injury is a strong candidate as a suppressor because of its well-established main and moderating effects on TBI outcomes. We tested age at injury as a possible suppressor in the predictive chain of effects between TBI severity and functional disability, up to 10 years post-TBI. SETTING Follow-up interviews were conducted during telephone interviews. PARTICIPANTS We used data from the 2020 NDILRR Model Systems National Dataset for 4 successive follow-up interviews: year 1 (n = 10,734), year 2 (n = 9174), year 5 (n = 6,201), and year 10 (n = 3027). DESIGN Successive cross-sectional multiple regression analyses. MAIN MEASURES Injury severity was operationalized using a categorical variable representing duration of posttrauma amnesia. The Glasgow Outcomes Scale-Extended (GOS-E) operationally defined functioning. Sociodemographic characteristics having significant bivariate correlations with GOS-E were included. RESULTS Entry of age at injury into the regression models significantly increases the association between TBI severity and functioning up to 10 years post-TBI. CONCLUSIONS Age at injury is a suppressor variable, masking the true effect of injury severity on functional outcomes. Identifying the mediators of this suppression effect is an important direction for TBI rehabilitation research.
{"title":"Age Suppresses the Association Between Traumatic Brain Injury Severity and Functional Outcomes: A Study Using the NIDILRR TBIMS Dataset.","authors":"Laraine Winter, Helene Moriarty, Keith M Robinson, Benjamin E. Leiby, Krista Schmidt, Christina R Whitehouse, R. Swanson","doi":"10.1097/HTR.0000000000000955","DOIUrl":"https://doi.org/10.1097/HTR.0000000000000955","url":null,"abstract":"OBJECTIVES\u0000Recovery from traumatic brain injury (TBI) is extremely difficult to predict, with TBI severity usually demonstrating weak predictive validity for functional or other outcomes. A possible explanation may lie in the statistical phenomenon called suppression, according to which a third variable masks the true association between predictor and outcome, making it appear weaker than it actually is. Age at injury is a strong candidate as a suppressor because of its well-established main and moderating effects on TBI outcomes. We tested age at injury as a possible suppressor in the predictive chain of effects between TBI severity and functional disability, up to 10 years post-TBI.\u0000\u0000\u0000SETTING\u0000Follow-up interviews were conducted during telephone interviews.\u0000\u0000\u0000PARTICIPANTS\u0000We used data from the 2020 NDILRR Model Systems National Dataset for 4 successive follow-up interviews: year 1 (n = 10,734), year 2 (n = 9174), year 5 (n = 6,201), and year 10 (n = 3027).\u0000\u0000\u0000DESIGN\u0000Successive cross-sectional multiple regression analyses.\u0000\u0000\u0000MAIN MEASURES\u0000Injury severity was operationalized using a categorical variable representing duration of posttrauma amnesia. The Glasgow Outcomes Scale-Extended (GOS-E) operationally defined functioning. Sociodemographic characteristics having significant bivariate correlations with GOS-E were included.\u0000\u0000\u0000RESULTS\u0000Entry of age at injury into the regression models significantly increases the association between TBI severity and functioning up to 10 years post-TBI.\u0000\u0000\u0000CONCLUSIONS\u0000Age at injury is a suppressor variable, masking the true effect of injury severity on functional outcomes. Identifying the mediators of this suppression effect is an important direction for TBI rehabilitation research.","PeriodicalId":519229,"journal":{"name":"The Journal of Head Trauma Rehabilitation","volume":" 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140692738","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}
Pub Date : 2024-04-09DOI: 10.1097/HTR.0000000000000950
Shannon B Juengst, Brittany Wright, Annalyn DeMello, Leia Vos, Fedora Biney, Luis Leon Novelo, Michael Williams
OBJECTIVE To identify neurobehavioral symptom profiles among persons with chronic traumatic brain injury (TBI) using the Behavioral Assessment Screening Tool (BAST) and to consider participant characteristics that differ between profile groups. SETTING Community. PARTICIPANTS Participants (n = 615) were English-speaking adults (≥18) and had a self-reported history of at least one TBI of any severity. DESIGN Secondary analysis of cross-sectional data. MAIN MEASURES The BAST measures neurobehavioral symptoms in the domains of Negative Affect, Fatigue, Executive Dysfunction, Impulsivity, and Substance Misuse. RESULTS Using latent profile analysis (LPA), we identified 3 different neurobehavioral profiles. Overall symptom frequency and differences in the pattern of symptom frequency across domains differentiated the profile groups. Average domain scores differed significantly across the profiles (P < .001) for all domains except Fatigue (P = .076). Those in profile 3 (High-Risk group) reported the most frequent symptoms across all domains (similar Negative Affect frequency as profile 1). Substance Misuse was especially high in this group. Compared to profile 2 (High Negative Affect group), participants in profile 1 (Moderate-Risk group) endorsed significantly more frequent (and more variable) symptoms across all BAST domains, particularly Impulsivity and Substance Misuse. Participants in profile 2 endorsed the least frequent symptoms across all domains. Demographic comparison showed that groups differed based on gender, age, and injury severity (mild vs moderate-severe), with profile 3 composed of the most men and the most persons in early adulthood, and profile 2 composed of the most women and those with mild TBI. CONCLUSIONS We differentiated 3 neurobehavioral symptom profiles among persons with chronic TBI and determined differences in sociodemographic factors between the groups. Future research should focus on validating these profiles in another sample of individuals with chronic TBI. Characterizing persons according to multidimensional symptom profiles could allow for more tailored approaches to predict and prevent long-term negative outcomes.
{"title":"Neurobehavioral Symptom Profiles for the Behavioral Assessment Screening Tool in Chronic Traumatic Brain Injury.","authors":"Shannon B Juengst, Brittany Wright, Annalyn DeMello, Leia Vos, Fedora Biney, Luis Leon Novelo, Michael Williams","doi":"10.1097/HTR.0000000000000950","DOIUrl":"https://doi.org/10.1097/HTR.0000000000000950","url":null,"abstract":"OBJECTIVE\u0000To identify neurobehavioral symptom profiles among persons with chronic traumatic brain injury (TBI) using the Behavioral Assessment Screening Tool (BAST) and to consider participant characteristics that differ between profile groups.\u0000\u0000\u0000SETTING\u0000Community.\u0000\u0000\u0000PARTICIPANTS\u0000Participants (n = 615) were English-speaking adults (≥18) and had a self-reported history of at least one TBI of any severity.\u0000\u0000\u0000DESIGN\u0000Secondary analysis of cross-sectional data.\u0000\u0000\u0000MAIN MEASURES\u0000The BAST measures neurobehavioral symptoms in the domains of Negative Affect, Fatigue, Executive Dysfunction, Impulsivity, and Substance Misuse.\u0000\u0000\u0000RESULTS\u0000Using latent profile analysis (LPA), we identified 3 different neurobehavioral profiles. Overall symptom frequency and differences in the pattern of symptom frequency across domains differentiated the profile groups. Average domain scores differed significantly across the profiles (P < .001) for all domains except Fatigue (P = .076). Those in profile 3 (High-Risk group) reported the most frequent symptoms across all domains (similar Negative Affect frequency as profile 1). Substance Misuse was especially high in this group. Compared to profile 2 (High Negative Affect group), participants in profile 1 (Moderate-Risk group) endorsed significantly more frequent (and more variable) symptoms across all BAST domains, particularly Impulsivity and Substance Misuse. Participants in profile 2 endorsed the least frequent symptoms across all domains. Demographic comparison showed that groups differed based on gender, age, and injury severity (mild vs moderate-severe), with profile 3 composed of the most men and the most persons in early adulthood, and profile 2 composed of the most women and those with mild TBI.\u0000\u0000\u0000CONCLUSIONS\u0000We differentiated 3 neurobehavioral symptom profiles among persons with chronic TBI and determined differences in sociodemographic factors between the groups. Future research should focus on validating these profiles in another sample of individuals with chronic TBI. Characterizing persons according to multidimensional symptom profiles could allow for more tailored approaches to predict and prevent long-term negative outcomes.","PeriodicalId":519229,"journal":{"name":"The Journal of Head Trauma Rehabilitation","volume":"10 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140722336","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}
Pub Date : 2024-04-01DOI: 10.1097/htr.0000000000000954
Raj G Kumar, Emily Evans, Jennifer S Albrecht, Raquel C Gardner, Kristen Dams-O'Connor, Kali S Thomas
The objectives of this study were to characterize and identify correlates of healthy days at home (HDaH) before and after TBI requiring inpatient rehabilitation. Setting: Inpatient hospital, nursing home, and home health services.
{"title":"Healthy Days at Home Among Older Medicare Beneficiaries With Traumatic Brain Injury Requiring Inpatient Rehabilitation.","authors":"Raj G Kumar, Emily Evans, Jennifer S Albrecht, Raquel C Gardner, Kristen Dams-O'Connor, Kali S Thomas","doi":"10.1097/htr.0000000000000954","DOIUrl":"https://doi.org/10.1097/htr.0000000000000954","url":null,"abstract":"The objectives of this study were to characterize and identify correlates of healthy days at home (HDaH) before and after TBI requiring inpatient rehabilitation. Setting: Inpatient hospital, nursing home, and home health services.","PeriodicalId":519229,"journal":{"name":"The Journal of Head Trauma Rehabilitation","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140603487","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}
Pub Date : 2024-04-01DOI: 10.1097/HTR.0000000000000952
G. Whiteneck, William Williams, Emily Almeida, Douglas E. Bidelspach, William Culpepper, Linda M Picon, CB Eagye, David Dr Mellick
OBJECTIVE To describe the background, methodology, and results of the congressionally mandated Department of Veterans Affairs (VA) Traumatic Brain Injury (TBI) Veterans Health Registry. SETTING Veterans Health Administration (VHA) and Veterans Benefit Administration (VBA). PARTICIPANTS A total of 441 639 Veterans of post-9/11 conflicts who exhibited symptoms associated with TBI and sought care or benefits from the VA between September 2001 and September 2021. Design: Retrospective analysis of VHA and VBA administrative records. MAIN MEASURES (1) VA/Department of Defense Identity Repository to identify Veterans with a deployment to the Southwest Asia theater of operations; (2) the VA TBI Screening and Evaluation Program data; (3) Inpatient and Outpatient Encounter data; and (4) an extract of the VBA Corporate Database to identify Veterans filing benefit claims based on TBI. RESULTS An unduplicated total of 441 639 post-9/11 Veterans were identified in the Registry via three different pathways to entry: 369 909 Veterans through a positive TBI Screen, 253 177 Veterans receiving healthcare including a TBI diagnosis, and 108 541 Veterans filing TBI disability claims. Among Veterans reporting current TBI symptoms who completed a clinical evaluation, a diagnosis of TBI was confirmed by a TBI specialist in 68.7% of the cases. The TBI severity of confirmed cases was classified as mild in 86.6% of the cases, moderate in 8.3%, and severe in 4.1%. The TBI Registry Veterans were hospitalized 66 503 times and seen 1 521 898 times as outpatients in VHA facilities with diagnoses including TBI. Among Veterans filing TBI disability claims, 67.3% were adjudicated as service-connected. CONCLUSION The VA TBI Health Registry has identified over 440 000 Veterans of post-9/11 conflicts who presented to the VA for care or benefits with TBI symptomatology. This large number and the volume of TBI health care and benefits provided over the two decades since 9/11 demonstrate the need for the VA's strong ongoing focus on screening, evaluation, and rehabilitation of TBI. Key words:Department of Veterans Affairs, post-9/11, Registry, TBI, traumatic brain injury, VA, VBA, Veterans, Veterans Benefit Administration, Veterans Health Administration, VHA.
{"title":"Two Decades of Department of Veterans Affairs Traumatic Brain Injury Care and Benefits for Veterans of Post-9/11 Conflicts.","authors":"G. Whiteneck, William Williams, Emily Almeida, Douglas E. Bidelspach, William Culpepper, Linda M Picon, CB Eagye, David Dr Mellick","doi":"10.1097/HTR.0000000000000952","DOIUrl":"https://doi.org/10.1097/HTR.0000000000000952","url":null,"abstract":"OBJECTIVE\u0000To describe the background, methodology, and results of the congressionally mandated Department of Veterans Affairs (VA) Traumatic Brain Injury (TBI) Veterans Health Registry.\u0000\u0000\u0000SETTING\u0000Veterans Health Administration (VHA) and Veterans Benefit Administration (VBA).\u0000\u0000\u0000PARTICIPANTS\u0000A total of 441 639 Veterans of post-9/11 conflicts who exhibited symptoms associated with TBI and sought care or benefits from the VA between September 2001 and September 2021. Design: Retrospective analysis of VHA and VBA administrative records.\u0000\u0000\u0000MAIN MEASURES\u0000(1) VA/Department of Defense Identity Repository to identify Veterans with a deployment to the Southwest Asia theater of operations; (2) the VA TBI Screening and Evaluation Program data; (3) Inpatient and Outpatient Encounter data; and (4) an extract of the VBA Corporate Database to identify Veterans filing benefit claims based on TBI.\u0000\u0000\u0000RESULTS\u0000An unduplicated total of 441 639 post-9/11 Veterans were identified in the Registry via three different pathways to entry: 369 909 Veterans through a positive TBI Screen, 253 177 Veterans receiving healthcare including a TBI diagnosis, and 108 541 Veterans filing TBI disability claims. Among Veterans reporting current TBI symptoms who completed a clinical evaluation, a diagnosis of TBI was confirmed by a TBI specialist in 68.7% of the cases. The TBI severity of confirmed cases was classified as mild in 86.6% of the cases, moderate in 8.3%, and severe in 4.1%. The TBI Registry Veterans were hospitalized 66 503 times and seen 1 521 898 times as outpatients in VHA facilities with diagnoses including TBI. Among Veterans filing TBI disability claims, 67.3% were adjudicated as service-connected.\u0000\u0000\u0000CONCLUSION\u0000The VA TBI Health Registry has identified over 440 000 Veterans of post-9/11 conflicts who presented to the VA for care or benefits with TBI symptomatology. This large number and the volume of TBI health care and benefits provided over the two decades since 9/11 demonstrate the need for the VA's strong ongoing focus on screening, evaluation, and rehabilitation of TBI. Key words:Department of Veterans Affairs, post-9/11, Registry, TBI, traumatic brain injury, VA, VBA, Veterans, Veterans Benefit Administration, Veterans Health Administration, VHA.","PeriodicalId":519229,"journal":{"name":"The Journal of Head Trauma Rehabilitation","volume":"93 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140758892","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}
Pub Date : 2024-04-01DOI: 10.1097/htr.0000000000000953
David B Salisbury, Devan Parrott, Irwin M Altman, Vicki Eicher, Daniel M Logan, Claire McGrath, G Joseph Walters, James F Malec
Describe and compare the demographic characteristics and disability profiles of individuals admitted to 6 types of posthospital brain injury rehabilitation (PHBIR) programs.
描述并比较 6 种住院后脑损伤康复（PHBIR）项目收治人员的人口特征和残疾情况。
{"title":"Distinguishing Characteristics of Admissions to Various Types of Posthospital Brain Injury Rehabilitation Programs.","authors":"David B Salisbury, Devan Parrott, Irwin M Altman, Vicki Eicher, Daniel M Logan, Claire McGrath, G Joseph Walters, James F Malec","doi":"10.1097/htr.0000000000000953","DOIUrl":"https://doi.org/10.1097/htr.0000000000000953","url":null,"abstract":"Describe and compare the demographic characteristics and disability profiles of individuals admitted to 6 types of posthospital brain injury rehabilitation (PHBIR) programs.","PeriodicalId":519229,"journal":{"name":"The Journal of Head Trauma Rehabilitation","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140603488","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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