Abstract

Patients with traumatic brain injury (TBI) often present with disabilities associated with a high burden of care for caregivers or family members at home. When family members cannot afford to care for patients with TBI, they are often required to find them residence in long-term care institutions. To date, there are no quantitative assessment tools developed to predict institutionalization. Therefore, this study analyzed the accuracy of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) for predicting the institutionalization of patients with TBI. We designed a cross-sectional study using a nationwide disability database. We analyzed the data of 8630 patients with TBI with injury for more than six months from the Taiwan Data Bank of Persons with Disability during July 2012-October 2018. The demographic data and WHODAS 2.0 standardized scores of patients with TBI who resided in community and long-term care institutions were analyzed. Receiver operating characteristic curve (ROC) analysis was performed to investigate the predictive accuracy of WHODAS 2.0 for being institutionalized, and the optimal cut-off point was determined using the Youden index. Binary logistic regression was employed to determine the predictors of the participants being institutionalized. The WHODAS 2.0 scores in each domain were lower in the community group than in the institutionalized group. ROC analysis revealed the highest accuracy for the summary scores of WHODAS 2.0 (area under the curve = 0.769). Binary logistic regression revealed that age, gender, work status, urbanization level, socioeconomic status, severity of impairment, and WHODAS 2.0 domain scores were factors associated with the institutionalization status of patients with TBI. Our results suggest that WHODAS 2.0 may be a feasible assessment tool for predicting the institutionalization of patients with TBI.

Original languageEnglish
Article number1484
Pages (from-to)1484
JournalInternational Journal of Environmental Research and Public Health
Volume16
Issue number9
DOIs
Publication statusPublished - May 1 2019

Fingerprint

Institutionalization
Appointments and Schedules
Long-Term Care
ROC Curve
Logistic Models
Databases
Urbanization
Disabled Persons
Traumatic Brain Injury
Taiwan
Social Class
Caregivers
Area Under Curve
Patient Care
Cross-Sectional Studies
Demography
Wounds and Injuries

Keywords

  • Institutionalization
  • International classification of functioning, disability and health
  • Predictor
  • Taiwan
  • Traumatic brain injury (TBI)
  • World health organization disability assessment schedule 2.0

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis

Cite this

@article{d8dd935988f9430aa84c85b2559946bd,
title = "WHODAS 2.0 Can Predict Institutionalization among Patients with Traumatic Brain Injury",
abstract = "Patients with traumatic brain injury (TBI) often present with disabilities associated with a high burden of care for caregivers or family members at home. When family members cannot afford to care for patients with TBI, they are often required to find them residence in long-term care institutions. To date, there are no quantitative assessment tools developed to predict institutionalization. Therefore, this study analyzed the accuracy of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) for predicting the institutionalization of patients with TBI. We designed a cross-sectional study using a nationwide disability database. We analyzed the data of 8630 patients with TBI with injury for more than six months from the Taiwan Data Bank of Persons with Disability during July 2012-October 2018. The demographic data and WHODAS 2.0 standardized scores of patients with TBI who resided in community and long-term care institutions were analyzed. Receiver operating characteristic curve (ROC) analysis was performed to investigate the predictive accuracy of WHODAS 2.0 for being institutionalized, and the optimal cut-off point was determined using the Youden index. Binary logistic regression was employed to determine the predictors of the participants being institutionalized. The WHODAS 2.0 scores in each domain were lower in the community group than in the institutionalized group. ROC analysis revealed the highest accuracy for the summary scores of WHODAS 2.0 (area under the curve = 0.769). Binary logistic regression revealed that age, gender, work status, urbanization level, socioeconomic status, severity of impairment, and WHODAS 2.0 domain scores were factors associated with the institutionalization status of patients with TBI. Our results suggest that WHODAS 2.0 may be a feasible assessment tool for predicting the institutionalization of patients with TBI.",
keywords = "Institutionalization, International classification of functioning, disability and health, Predictor, Taiwan, Traumatic brain injury (TBI), World health organization disability assessment schedule 2.0",
author = "Shih-Wei Huang and Kwang-Hwa Chang and Reuben Escorpizo and Feng-Hang Chang and Tsan-Hon Liou",
year = "2019",
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language = "English",
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pages = "1484",
journal = "International Journal of Environmental Research and Public Health",
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AU - Huang, Shih-Wei

AU - Chang, Kwang-Hwa

AU - Escorpizo, Reuben

AU - Chang, Feng-Hang

AU - Liou, Tsan-Hon

PY - 2019/5/1

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N2 - Patients with traumatic brain injury (TBI) often present with disabilities associated with a high burden of care for caregivers or family members at home. When family members cannot afford to care for patients with TBI, they are often required to find them residence in long-term care institutions. To date, there are no quantitative assessment tools developed to predict institutionalization. Therefore, this study analyzed the accuracy of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) for predicting the institutionalization of patients with TBI. We designed a cross-sectional study using a nationwide disability database. We analyzed the data of 8630 patients with TBI with injury for more than six months from the Taiwan Data Bank of Persons with Disability during July 2012-October 2018. The demographic data and WHODAS 2.0 standardized scores of patients with TBI who resided in community and long-term care institutions were analyzed. Receiver operating characteristic curve (ROC) analysis was performed to investigate the predictive accuracy of WHODAS 2.0 for being institutionalized, and the optimal cut-off point was determined using the Youden index. Binary logistic regression was employed to determine the predictors of the participants being institutionalized. The WHODAS 2.0 scores in each domain were lower in the community group than in the institutionalized group. ROC analysis revealed the highest accuracy for the summary scores of WHODAS 2.0 (area under the curve = 0.769). Binary logistic regression revealed that age, gender, work status, urbanization level, socioeconomic status, severity of impairment, and WHODAS 2.0 domain scores were factors associated with the institutionalization status of patients with TBI. Our results suggest that WHODAS 2.0 may be a feasible assessment tool for predicting the institutionalization of patients with TBI.

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