Roselyn Peterson

Technology-Enhanced Stepped Collaborative Care Targeting Posttraumatic Stress Disorder and Comorbidity After Injury: A Randomized Controlled Trial

Posttraumatic stress disorder (PTSD) and its comorbidities are endemic among injured trauma survivors. Previous collaborative care trials targeting PTSD after injury have been effective, but they have required intensive clinical resources. The present pragmatic clinical trial randomized acutely injured trauma survivors who screened positive on an automated electronic medical record PTSD assessment to collaborative care intervention (n = 60) and usual care control (n = 61) conditions. The stepped measurement-based intervention included care management, psychopharmacology, and psychotherapy elements. Embedded within the intervention were a series of information technology (IT) components. PTSD symptoms were assessed with the PTSD Checklist at baseline prerandomization and again, 1-, 3-, and 6-months postinjury. IT utilization was also assessed. The technology-assisted intervention required a median of 2.25 hours (interquartile range = 1.57 hours) per patient. The intervention was associated with modest symptom reductions, but beyond the margin of statistical significance in the unadjusted model: F(2, 204) = 2.95, p = .055. The covariate adjusted regression was significant: F(2, 204) = 3.06, p = .049. The PTSD intervention effect was greatest at the 3-month (Cohens effect size d = 0.35, F(1, 204) = 4.11, p = .044) and 6-month (d = 0.38, F(1, 204) = 4.10, p = .044) time points. IT-enhanced collaborative care was associated with modest PTSD symptom reductions and reduced delivery times; the intervention model could potentially facilitate efficient PTSD treatment after injury.

Correlates of Suicidal Ideation in Physically Injured Trauma Survivors

Epidemiologic studies have documented that injury survivors are at increased risk for suicide. We evaluated 206 trauma survivors to examine demographic, clinical, and injury characteristics associated with suicidal ideation during hospitalization and across 1 year. Results indicate that mental health functioning, depression symptoms, and history of mental health services were associated with suicidal ideation in the hospital; being a parent was a protective factor. Pre-injury posttraumatic stress disorder symptoms, assaultive injury mechanism, injury-related legal proceedings, and physical pain were significantly associated with suicidal ideation across 1 year. Readily identifiable risk factors early after traumatic injury may inform hospital-based screening and intervention procedures.

A nationwide survey of trauma center information technology leverage capacity for mental health comorbidity screening.

BACKGROUND Despite evidence that electronic medical record (EMR) information technology innovations can enhance the quality of trauma center care, few investigations have systematically assessed United States (US) trauma center EMR capacity, particularly for screening of mental health comorbidities. STUDY DESIGN Trauma programs at all US level I and II trauma centers were contacted and asked to complete a survey regarding health information technology (IT) and EMR capacity. RESULTS Three hundred ninety-one of 525 (74%) US level I and II trauma centers responded to the survey. More than 90% of trauma centers reported the ability to create custom patient tracking lists in their EMR. Forty-seven percent of centers were interested in automating a blood alcohol content screening process; only 14% reported successfully using their EMR to perform this task. Marked variation was observed across trauma center sites with regard to the types of EMR systems used as well as rates of adoption and turnover of EMR systems. CONCLUSIONS Most US level I and II trauma centers have installed EMR systems; however, marked heterogeneity exists with regard to EMR type, available features, and turnover. A minority of centers have leveraged their EMR for screening of mental health comorbidities among trauma inpatients. Greater attention to effective EMR use is warranted from trauma accreditation organizations.

Factors Associated With Follow-Up Attendance Among Rape Victims Seen in Acute Medical Care

Objective: Rape is associated with posttraumatic stress disorder (PTSD) and related comorbidities. Most victims do not obtain treatment for these conditions. Acute care medical settings are well positioned to link patients to services; however, difficulty engaging victims and low attendance at provided follow-up appointments is well documented. Identifying factors associated with follow-up can inform engagement and linkage strategies. Method: Administrative, patient self-report, and provider observational data from Harborview Medical Center were combined for the analysis. Using logistic regression, we examined factors associated with follow-up health service utilization after seeking services for rape in the emergency department. Results: Of the 521 diverse female (n = 476) and male (n = 45) rape victims, 28% attended the recommended medical/counseling follow-up appointment. In the final (adjusted) logistic regression model, having a developmental or other disability (OR = 0.40, 95% CI = 0.21–0.77), having a current mental illness (OR = 0.25, 95% CI = 0.13–0.49), and being assaulted in public (OR = 0.50, 95% CI = 0.28–0.87) were uniquely associated with reduced odds of attending the follow-up. Having a prior mental health condition (OR = 3.02, 95% CI = 1.86–4.91), a completed Sexual Assault Nurse Examiner’s (SANE) examination (OR = 2.97, 95% CI = 1.84–4.81), and social support available to help cope with the assault (OR = 3.54, 95% CI = 1.76–7.11) were associated with an increased odds of attending the follow-up. Conclusions: Findings point to relevant characteristics ascertained at the acute care medical visit for rape that may be used to identify victims less likely to obtain posttraumatic medical and mental health services. Efforts to improve service linkage for these patients is warranted and may require alternative service delivery models that engage rape survivors and support posttraumatic recovery.

Traumatic Life Events Prior to Alcohol-Related Admission of Injured Acute Care Inpatients: A Brief Report

Objective: Approximately 30 million Americans present to acute care medical settings annually after incurring traumatic injuries. Posttraumatic stress disorder (PTSD) and depressive symptoms are endemic among injury survivors. Our article is a replication and extension of a previous report documenting a pattern of multiple traumatic life events across patients admitted to Level I trauma centers for an alcohol-related injury. Method: This study is a secondary analysis of a nationwide 20-site randomized trial of an alcohol brief intervention with 660 traumatically injured inpatients. Pre-injury trauma history was assessed using the National Comorbidity Survey trauma history screen at the six-month time point. Results: Most common traumatic events experienced by our population of alcohol-positive trauma survivors were having had someone close unexpectedly die, followed by having seen someone badly beaten or injured. Of particular note, there is high reported prevalence of rape/sexual assault, and childhood abuse and neglect among physically injured trauma survivors. Additional trauma histories are increasingly common among alcohol-positive patients admitted for a traumatic injury. Conclusions: Due to the high rate of experienced multiple traumatic events among acutely injured inpatients, the trauma history screen could be productively integrated into screening and brief intervention procedures developed for acute care settings.

Technology-Enhanced Stepped Collaborative Care Targeting Posttraumatic Stress Disorder and Comorbidity After Injury

Posttraumatic stress disorder (PTSD) and its comorbidities are endemic among injured trauma survivors. Previous collaborative care trials targeting PTSD after injury have been effective, but they have required intensive clinical resources. The present pragmatic clinical trial randomized acutely injured trauma survivors who screened positive on an automated electronic medical record PTSD assessment to collaborative care intervention (n = 60) and usual care control (n = 61) conditions. The stepped measurement-based intervention included care management, psychopharmacology, and psychotherapy elements. Embedded within the intervention were a series of information technology (IT) components. PTSD symptoms were assessed with the PTSD Checklist at baseline prerandomization and again, 1-, 3-, and 6-months postinjury. IT utilization was also assessed. The technology-assisted intervention required a median of 2.25 hours (interquartile range = 1.57 hours) per patient. The intervention was associated with modest symptom reductions, but beyond the margin of statistical significance in the unadjusted model: F(2, 204) = 2.95, p = .055. The covariate adjusted regression was significant: F(2, 204) = 3.06, p = .049. The PTSD intervention effect was greatest at the 3-month (Cohens effect size d = 0.35, F(1, 204) = 4.11, p = .044) and 6-month (d = 0.38, F(1, 204) = 4.10, p = .044) time points. IT-enhanced collaborative care was associated with modest PTSD symptom reductions and reduced delivery times; the intervention model could potentially facilitate efficient PTSD treatment after injury.

Technology-Enhanced Stepped Collaborative Care Targeting Posttraumatic Stress Disorder and Comorbidity After Injury: A Randomized Controlled Trial: Technology-Enhanced Stepped Care PTSD

Posttraumatic stress disorder (PTSD) and its comorbidities are endemic among injured trauma survivors. Previous collaborative care trials targeting PTSD after injury have been effective, but they have required intensive clinical resources. The present pragmatic clinical trial randomized acutely injured trauma survivors who screened positive on an automated electronic medical record PTSD assessment to collaborative care intervention (n = 60) and usual care control (n = 61) conditions. The stepped measurement-based intervention included care management, psychopharmacology, and psychotherapy elements. Embedded within the intervention were a series of information technology (IT) components. PTSD symptoms were assessed with the PTSD Checklist at baseline prerandomization and again, 1-, 3-, and 6-months postinjury. IT utilization was also assessed. The technology-assisted intervention required a median of 2.25 hours (interquartile range = 1.57 hours) per patient. The intervention was associated with modest symptom reductions, but beyond the margin of statistical significance in the unadjusted model: F(2, 204) = 2.95, p = .055. The covariate adjusted regression was significant: F(2, 204) = 3.06, p = .049. The PTSD intervention effect was greatest at the 3-month (Cohens effect size d = 0.35, F(1, 204) = 4.11, p = .044) and 6-month (d = 0.38, F(1, 204) = 4.10, p = .044) time points. IT-enhanced collaborative care was associated with modest PTSD symptom reductions and reduced delivery times; the intervention model could potentially facilitate efficient PTSD treatment after injury.