Mild Traumatic Brain Injuries and Risk for Affective and Behavioral Disorders.

OBJECTIVES: Recent studies document an association between mild traumatic brain injuries (mTBIs) in children and postinjury psychiatric disorders. However. these studies were subject to limitations in the design, lack of long-term follow-up, and poorly defined psychiatric outcomes. This study determines the incidence and relative risk of postinjury new affective and behavior disorders 4 years after mTBIs. METHODS: A cohort study of mTBI cases and matched comparisons within an integrated health care system. The mTBI group included patients ≤17 years of age, diagnosed with mTBI from 2000 to 2014 (N = 18 917). Comparisons included 2 unexposed patients (N = 37 834) per each mTBI-exposed patient, randomly selected and matched for age, sex, race/ethnicity, and date of medical visit (reference date to mTBI injury). Outcomes included a diagnosis of affective or behavioral disorders in the 4 years after mTBI or the reference date. RESULTS: Adjusted risks for affective disorders were significantly higher across the first 3 years after injury for the mTBI group, especially during the second year, with a 34% increase in risk. Adjusted risks for behavioral disorders were significant at years 2 and 4, with up to a 37% increase in risk. The age group with the highest risk for postinjury affective and behavioral disorders was 10- to 13-year-old patients. CONCLUSIONS: Sustaining an mTBI significantly increased the risks of having a new affective or behavioral disorder up to 4 years after injury. Initial and ongoing screening for affective and behavior disorders following an mTBI can identify persistent conditions that may pose barriers to recovery.

Prevalence of depression and anxiety disorders following mild traumatic brain injury.

BACKGROUND: Previous studies have identified an association between traumatic brain injuries and the development of psychiatric disorders in general. However, these studies were subject to limitations that demonstrate the need for a study of a large, clearly defined mild traumatic brain injury (mTBI) population within an integrated healthcare system. OBJECTIVE: To determine the prevalence and relative risk of postinjury affective disorders over 4 years following mTBI. DESIGN: Cohort study of mTBI cases and matched controls, over a 4-year period. SETTING: An integrated healthcare delivery system in California. PATIENTS: A total of 9428 adult health plan members diagnosed with mTBI from 2000-2007 and enrolled in the year before injury, during which no TBI was ascertained. Control participants included 18,856 individuals selected based on the following criteria: Two unexposed health plan members per each mTBI-exposed patient were randomly selected and individually matched for age, gender, race/ethnicity, and medical comorbidities. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: A diagnosis of affective disorder (depressive, anxiety, and adjustment disorders) in the 4 years after mTBI or the reference date, determined according to the International Classification of Diseases, Ninth Revision, Clinical Modification as well as the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, Text Revision. RESULTS: Affective disorders were most prominent during the first 12 months with 23% following mTBI and 14% in the control group. Four-year aggregate adjusted odds ratios for having an affective disorder following mTBI were 1.2 (95% CI: 1.1, 1.2; p < .001) and 1.5 (95% CI: 1.5, 1.6; p < .001) for patients with and without prior affective disorders, respectively. CONCLUSION: mTBI was associated with a significantly increased risk of having subsequent affective disorders. Screening for and addressing affective disorders at earlier stages following the injury is an important step to avoid persisting conditions that may pose a barrier to full recovery.

Designing and implementing a system for tracking functional status after stroke: a feasibility study.

OBJECTIVE: To determine the feasibility of tracking stroke patients' functional outcomes in an integrated health system across a care continuum using the computer version of the Activity Measure of Post-Acute Care (AM-PAC). SETTING: A large integrated health care system in northern California. PARTICIPANTS: A total of 222 stroke patients (aged ≥18 years) who were hospitalized after an acute cerebrovascular accident. METHODS: An AM-PAC assessment was made at discharge from sites of care, including acute hospital, inpatient rehabilitation hospital, skilled nursing facility, home during home care, and outpatient settings. Assessments also were completed in the patient's home at 6 months. Data from the AM-PAC program were integrated with the health care system's databases. MAIN OUTCOME MEASUREMENTS: (1) AM-PAC administration time at the various sites of care; (2) assessment of a floor or a ceiling effect; and (3) administrative burden of tracking participants. RESULTS: AM-PAC assessment sessions averaged 7.9 minutes for data acquisition in 3 domains: Basic Mobility, Activities of Daily Living, and Applied Cognition. Participants answered, on average, 27 AM-PAC questions per session. A small ceiling effect was observed at 6 months, and there was a larger ceiling effect when the instrument was administered in an institution, ie, when the AM-PAC institutional item bank was used rather than the community item bank. It was feasible to track patients and to assess their function using the AM-PAC instrument from institutional to community settings. Implementation of the AM-PAC in clinical environments, and the success of the project, were influenced by instrumental, technological, operational, resource, and cultural factors. CONCLUSIONS: This study demonstrates the feasibility of implementing a single functional outcome instrument in clinical and community settings to measure rehabilitation functional outcomes of stroke patients. Integrating the AM-PAC measurement system into clinical workflows and the electronic medical record could provide assistance to clinicians for medical decision making, functional prognostication, and discharge planning.