Understanding loss to follow-up in a longitudinal study of people with traumatic brain injury

Understanding the Sociocognitive Determinants Underlying Intentions to Exercise for Postconcussion Symptom Relief: An Application of the Theory of Planned Behavior

CONTEXT

This study investigated individual sociocognitive factors from the theory of planned behavior and their relationship to exercise for postconcussion recovery.

DESIGN AND METHODS

Four hundred and fifty-nine Australian adults, two-thirds of whom had no concussion history (66%), completed an online survey of their beliefs and attitudes toward exercise for postconcussion recovery. Secondary questions evaluated program design features that could affect engagement (eg, session frequency).

RESULTS

Structured equation modeling found that subjective norms were the strongest significant predictor of intention to participate in exercise for postconcussion recovery. Perceived behavioral control was also a significant predictor of intention to participate but to a lesser extent. Attitude did not predict participation intention. The design features identified as key were personalization and being supervised during the program.

CONCLUSIONS

This study found that people's intention to participate in a program of exercise postconcussion recovery is shaped by individual psychological factors and identified program design features that could be adjusted for increased engagement. Program success could be maximized through strategies such as supporting individuals to have a stronger sense of control over their participation through the choice of session timing or frequency and harnessing the influence of significant others via supportive messaging from key professionals.

Predictors of High School and College Graduation After Sustaining a Moderate-to-Severe Traumatic Brain Injury

OBJECTIVE

To identify early predictors of US high school and college graduation after moderate-to-severe traumatic brain injury (TBI).

SETTING

Inpatient rehabilitation and community.

PARTICIPANTS

TBI Model Systems participants, aged 16 to 24 years, enrolled as high school or college students at time of injury.

DESIGN

Prospective cohort study.

MAIN MEASURES

Successful graduation was defined as having a diploma (high school) or an associate/bachelor's degree (college) at 1-, 2-, or 5-year follow-up. Predictors were sex, race/ethnicity, urbanicity, preinjury substance abuse, primary rehabilitation payer, and functional independence at inpatient rehabilitation discharge.

METHOD

We descriptively characterized differences between those who did and did not graduate high school and college within the first 5 years postinjury and identified early predictors of successful high school and college graduation using 2 binomial logistic regressions.

RESULTS

Of those with known graduation status, 81.2% of high school and 41.8% of college students successfully graduated. Graduates in both groups were more often White than Black and had more functional independence at discharge. Among high school students, preinjury substance abuse was also a risk factor for not graduating, as was identifying as Hispanic or "other" race.

CONCLUSIONS

Sociodemographic factors and disability influence graduation outcomes, requiring structural, institutional, and personal interventions for success.

Relationship Between Neighborhood Disadvantage and Mild Traumatic Brain Injury Symptoms

OBJECTIVE

To test the hypotheses that (1) higher neighborhood disadvantage is associated with greater injury-related symptom severity in civilians with mild traumatic brain injury (mTBI) and (2) neighborhood disadvantage remains predictive after controlling for other established predictors.

SETTING

Level 1 trauma center and affiliated academic medical center.

PARTICIPANTS

N = 171 individuals with mTBI.

DESIGN

Prospective cohort study.

MAIN MEASURES

Rivermead Post Concussion Symptoms Questionnaire (RPQ) total score assessed less than 24 hours and at 2 weeks, 3 months, and 6 months postinjury. Linear mixed-effects models were used to assess the relationship between predictor variables and mTBI-related symptom burden (RPQ score). Neighborhood disadvantage was quantified by the Area Deprivation Index (ADI), a composite of 17 markers of socioeconomic position (SEP) scored at the census block group level.

RESULTS

Individuals in the upper ADI quartile of the national distribution displayed higher RPQ symptoms than those in the lower 3 quartiles ( P < .001), with a nonsignificant ADI × visit interaction ( P = .903). In a multivariable model, the effect of ADI remained significant ( P = .034) after adjusting for demographics, individual SEP, and injury factors. Other unique predictors in the multivariable model were gender (gender × visit P = .035), health insurance type ( P = .017), and injury-related litigation ( P = .012).

CONCLUSION

Neighborhood disadvantage as quantified by the ADI is robustly associated with greater mTBI-related symptom burden throughout the first 6 months postinjury. That the effect of ADI remained after controlling for demographics, individual SEP, and injury characteristics implies that neighborhood disadvantage is an important, understudied factor contributing to clinical recovery from mTBI.

Predictors of Missed Follow-up Visits in the National Traumatic Brain Injury Model Systems Cohort Study

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.