Predictors of Missed Follow-up Visits in the National Traumatic Brain Injury Model Systems Cohort Study.
Arch Phys Med Rehabil
; 103(12): 2325-2337, 2022 12.
Article
em En
| MEDLINE
| ID: mdl-35709982
ABSTRACT
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 OUTCOMEMEASURES:
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.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Lesões Encefálicas
/
Lesões Encefálicas Traumáticas
Tipo de estudo:
Etiology_studies
/
Incidence_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Revista:
Arch Phys Med Rehabil
Ano de publicação:
2022
Tipo de documento:
Article