A Clinical Care Monitoring and Data Collection Tool (H3 Tracker) to Assess Uptake and Engagement in Mental Health Care Services in a Community-Based Pediatric Integrated Care Model: Longitudinal Cohort Study

Digital and Mobile Health Technology in Collaborative Behavioral Health Care: Scoping Review

BACKGROUND

The collaborative care model (CoCM) is a well-established system of behavioral health care in primary care settings. There is potential for digital and mobile technology to augment the CoCM to improve access, scalability, efficiency, and clinical outcomes.

OBJECTIVE

This study aims to conduct a scoping review to synthesize the evidence available on digital and mobile health technology in collaborative care settings.

METHODS

This review included cohort and experimental studies of digital and mobile technologies used to augment the CoCM. Studies examining primary care without collaborative care were excluded. A literature search was conducted using 4 electronic databases (MEDLINE, Embase, Web of Science, and Google Scholar). The search results were screened in 2 stages (title and abstract screening, followed by full-text review) by 2 reviewers.

RESULTS

A total of 3982 nonduplicate reports were identified, of which 20 (0.5%) were included in the analysis. Most studies used a combination of novel technologies. The range of digital and mobile health technologies used included mobile apps, websites, web-based platforms, telephone-based interactive voice recordings, and mobile sensor data. None of the identified studies used social media or wearable devices. Studies that measured patient and provider satisfaction reported positive results, although some types of interventions increased provider workload, and engagement was variable. In studies where clinical outcomes were measured (7/20, 35%), there were no differences between groups, or the differences were modest.

CONCLUSIONS

The use of digital and mobile health technologies in CoCM is still limited. This study found that technology was most successful when it was integrated into the existing workflow without relying on patient or provider initiative. However, the effect of digital and mobile health on clinical outcomes in CoCM remains unclear and requires additional clinical trials.

The Impact of Attachment-Disrupting Adverse Childhood Experiences on Child Behavioral Health

OBJECTIVES

To describe patterns of overall, within-household, and community adverse childhood experiences (ACEs) among children in vulnerable neighborhoods and to identify which individual ACEs, over and above overall ACE level, predict need for behavioral health services.

STUDY DESIGN

This was a cross-sectional study that used a sample of 257 children ages 3-16 years who were seeking primary care services with co-located mental healthcare services at 1 of 2 clinics in Chicago, Illinois. The outcome variable was need for behavioral health services (Pediatric Symptom Checklist score ≥28). The independent variables were ACEs, measured with an adapted, 28-item version of the Traumatic Events Screening Inventory.

RESULTS

Six ACE items were individually predictive of a clinical-range Pediatric Symptom Checklist score after adjusting for sociodemographic covariates: emotional abuse or neglect (OR 2.93, 95% CI 1.32-6.52, P < .01), natural disaster (OR 3.89, 95% CI 1.18-12.76, P = .02), forced separation from a parent or caregiver (OR 2.95, 95% CI 1.50-5.83, P < .01), incarceration of a family member (OR 2.43, 95% CI 1.20-4.93, P = .01), physical attack (OR 2.84, 95% CI 1.32-6.11, P < .01), and community violence (OR 2.35, 95% CI 1.18-4.65, P = .01). After adjusting for overall ACE level, only 1 item remained statistically significant: forced separation from a parent or caregiver (OR 2.44, 95% CI 1.19-5.01, P = .02).

CONCLUSIONS

ACEs that disrupt attachment relationships between children and their caregivers are a significant predictor of risk for child emotional or behavioral problems.