TY - JOUR
T1 - Predictors for 30-day readmissions after traumatic brain injury
AU - Pollifrone, Maria
AU - Callender, Librada
AU - Bennett, Monica
AU - Driver, Simon
AU - Petrey, Laura
AU - Hamilton, Rita
AU - Dubiel, Rosemary
N1 - Publisher Copyright:
© 2020 Wolters Kluwer Health, Inc. All rights reserved.
PY - 2021/5
Y1 - 2021/5
N2 - Objective: To examine predictors for 30-day readmission post-onset of traumatic brain injury (TBI) after initial trauma hospitalization. Design: Retrospective cohort. Participants: In total, 5284 patients with an acute TBI admitted from January 1, 2006, through December 31, 2015. Methods: Demographic and clinical data after initial TBI onset were extracted from the local trauma registry and matched with the Dallas-Fort Worth Hospital Council registry. Multiple logistic regression analysis was used to determine factors significantly associated with 30-day readmission. Top diagnosis codes for 30-day readmission were also described. Results: Patients were primarily male (64.6%), non-Hispanic White (47.6%), uninsured (35.4%), and aged 46.1 ± 23.3 years. In total, 448 patients (8.5%) had a 30-day readmission. Median cumulative charges for each readmitted subject was $34 313. Factors significantly associated with 30-day readmission were falling as the cause of injury, having increased Charlson Comorbidity Index and Injury Severity Score, and discharging to a skilled nursing facility or long-term acute care. Being uninsured was associated with decreased odds of a 30-day readmission. Top diagnosis codes among the readmission visits included cardiac codes (57.7%), fluid and acid-base disorders (54.8%), and hypertension (50.1%). Conclusion: These data highlight those at risk for 30-day readmission across a diverse population of TBI at a large medical center. Interventions such as health literacy education or patient navigation may help mitigate 30-day readmission for at-risk patients.
AB - Objective: To examine predictors for 30-day readmission post-onset of traumatic brain injury (TBI) after initial trauma hospitalization. Design: Retrospective cohort. Participants: In total, 5284 patients with an acute TBI admitted from January 1, 2006, through December 31, 2015. Methods: Demographic and clinical data after initial TBI onset were extracted from the local trauma registry and matched with the Dallas-Fort Worth Hospital Council registry. Multiple logistic regression analysis was used to determine factors significantly associated with 30-day readmission. Top diagnosis codes for 30-day readmission were also described. Results: Patients were primarily male (64.6%), non-Hispanic White (47.6%), uninsured (35.4%), and aged 46.1 ± 23.3 years. In total, 448 patients (8.5%) had a 30-day readmission. Median cumulative charges for each readmitted subject was $34 313. Factors significantly associated with 30-day readmission were falling as the cause of injury, having increased Charlson Comorbidity Index and Injury Severity Score, and discharging to a skilled nursing facility or long-term acute care. Being uninsured was associated with decreased odds of a 30-day readmission. Top diagnosis codes among the readmission visits included cardiac codes (57.7%), fluid and acid-base disorders (54.8%), and hypertension (50.1%). Conclusion: These data highlight those at risk for 30-day readmission across a diverse population of TBI at a large medical center. Interventions such as health literacy education or patient navigation may help mitigate 30-day readmission for at-risk patients.
KW - 30-day readmissions
KW - Healthcare utilization
KW - Traumatic brain injury
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U2 - 10.1097/HTR.0000000000000630
DO - 10.1097/HTR.0000000000000630
M3 - Article
C2 - 33201037
AN - SCOPUS:85106069572
SN - 0885-9701
VL - 36
SP - E178-E185
JO - Journal of Head Trauma Rehabilitation
JF - Journal of Head Trauma Rehabilitation
IS - 3
ER -