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Predictors of Missed Follow-up Visits in the National Traumatic Brain Injury Model Systems Cohort Study.
Vos, Leia; Ngan, Esther; Novelo, Luis Leon; Williams, Michael W; Hammond, Flora M; Walker, William C; Clark, Allison N; Lopez, Andrea P Ochoa; Juengst, Shannon B; Sherer, Mark.
Afiliación
  • Vos L; Spectrum Health Medical Group, Neurosciences, Grand Rapids, MI. Electronic address: leia.vos@spectrumhealth.org.
  • Ngan E; Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, Houston, TX.
  • Novelo LL; Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, Houston, TX.
  • Williams MW; Department of Psychology, University of Houston, Houston, TX; Brain Injury Research Center, TIRR Memorial Hermann, Houston, TX.
  • Hammond FM; Physical Medicine and Rehabilitation, Indiana University School of Medicine, Rehabilitation Hospital of Indiana, Indianapolis, IN.
  • Walker WC; Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA.
  • Clark AN; H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX.
  • Lopez APO; Department of Psychology, University of Houston, Houston, TX.
  • Juengst SB; Brain Injury Research Center, TIRR Memorial Hermann, Houston, TX.
  • Sherer M; Brain Injury Research Center, TIRR Memorial Hermann, Houston, TX; H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX.
Arch Phys Med Rehabil ; 103(12): 2325-2337, 2022 12.
Article en En | MEDLINE | ID: mdl-35709982
OBJECTIVE: To identify key variables that could predict risk of loss to follow-up (LTFU) in a nationally funded longitudinal database of persons with traumatic brain injury. DESIGN: Secondary analysis of a prospective longitudinal cohort study. SETTING: Traumatic Brain Injury Model System (TBIMS) Centers in the US. PARTICIPANTS: A total of 17,956 TBIMS participants (N=17,956) with interview status data available were included if eligible for 1-, 2-, 5-, 10-, 15-, or 20-year follow-ups between October 31, 1989, and September 30, 2020. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Follow-up data collection completion status at years 1, 2, 5, 10, 15, and 20. RESULTS: Information relevant to participants' history, injury characteristics, rehabilitation stay, and patterns of follow-up across 20 years were considered using a series of logistic regression models. Overall, LTFU rates were low (consistently <20%). The most robust predictors of LTFU across models were missed earlier follow-ups and demographic factors including Hispanic ethnicity, lower education, and lack of private health insurance. CONCLUSIONS: Efforts to retain participants in such social disadvantaged or minority groups are encouraged given their disproportionate rate of LTFU. Repeated attempts to reach participants after a previously missed assessment are beneficial because many participants that missed 1 or more follow-ups were later recovered.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lesiones Encefálicas / Lesiones Traumáticas del Encéfalo Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Arch Phys Med Rehabil Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lesiones Encefálicas / Lesiones Traumáticas del Encéfalo Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Arch Phys Med Rehabil Año: 2022 Tipo del documento: Article Pais de publicación: Estados Unidos