eHealth Tools That Assess and Track Health and Well-being in Children and Young People: Systematic Review.

BACKGROUND: eHealth tools that assess and track health outcomes in children or young people are an emerging type of technology that has the potential to reform health service delivery and facilitate integrated, interdisciplinary care. OBJECTIVE: The aim of this review is to summarize eHealth tools that have assessed and tracked health in children or young people to provide greater clarity around the populations and settings in which they have been used, characteristics of digital devices (eg, health domains, respondents, presence of tracking, and connection to care), primary outcomes, and risks and challenges of implementation. METHODS: A search was conducted in PsycINFO, PubMed or MEDLINE, and Embase in April 2020. Studies were included if they evaluated a digital device whose primary purpose was to assess and track health, focused on children or young people (birth to the age of 24 years), reported original research, and were published in peer-reviewed journals in English. RESULTS: A total of 39 papers were included in this review. The sample sizes ranged from 7 to 149,329 participants (median 163, mean 5155). More studies were conducted in urban (18/39, 46%) regions than in rural (3/39, 8%) regions or a combination of urban and rural areas (8/39, 21%). Devices were implemented in three main settings: outpatient health clinics (12/39, 31%), hospitals (14/39, 36%), community outreach (10/39, 26%), or a combination of these settings (3/39, 8%). Mental and general health were the most common health domains assessed, with a single study assessing multiple health domains. Just under half of the devices tracked children's health over time (16/39, 41%), and two-thirds (25/39, 64%) connected children or young people to clinical care. It was more common for information to be collected from a single informant (ie, the child or young person, trained health worker, clinician, and parent or caregiver) than from multiple informants. The health of children or young people was assessed as a primary or secondary outcome in 36% (14/39) of studies; however, only 3% (1/39) of studies assessed whether using the digital tool improved the health of users. Most papers reported early phase research (formative or process evaluations), with fewer outcome evaluations and only 3 randomized controlled trials. Identified challenges or risks were related to accessibility, clinical utility and safety, uptake, data quality, user interface or design aspects of the device, language proficiency or literacy, sociocultural barriers, and privacy or confidentiality concerns; ways to address these barriers were not thoroughly explored. CONCLUSIONS: eHealth tools that assess and track health in children or young people have the potential to enhance health service delivery; however, a strong evidence base validating the clinical utility, efficacy, and safety of tools is lacking, and more thorough investigation is needed to address the risks and challenges of using these emerging technologies in clinical care. At present, there is greater potential for the tools to facilitate multi-informant, multidomain assessments and longitudinally track health over time and room for further implementation in rural or remote regions and community settings around the world.

Substance of choice, impact of heroin or opium on treatment retention in a multicentre randomised controlled trial in Iran.

INTRODUCTION: In the Middle East and Asia, illicit opioid use exists across a spectrum between heroin and opium. The impact of primary opioid of choice on opioid agonist treatment retention has not been well evaluated previously, especially for opium tincture, an increasingly popular form of opioid agonist treatment in Iran. This study investigates the relationship between primary opioid of choice, namely heroin or opium, and retention in opium tincture and methadone treatment. METHODS: Participants with opioid use disorder (n = 204) were randomised to receive opium tincture or methadone. All participants were categorised as mainly using opium or heroin. Bivariate analyses between treatment retention and primary opioid of choice (P < 0.05) and logistic regression were conducted. RESULTS: Among the 191 participants included in this analysis, heroin was the primary substance of choice for 135 participants (70.7%) and opium for 56 (29.3%). Bivariate analysis showed that the opium group was more likely to be satisfied with family situation, employed and retained in treatment than the heroin group while less likely to experience incarceration and use multiple substances. When adjusting for covariates, primary opioid of choice was not significantly associated with retention in either methadone or opium tincture treatment arm. DISCUSSION AND CONCLUSIONS: Positive factors, such as employment, housing and family support, seem to collectively explain the higher retention in treatment among those who primarily use opium compared to those who use heroin. To optimise retention in opioid agonist treatment, biopsychosocial care models should be further evaluated to improve psychosocial functioning.

Understanding eHealth Cognitive Behavioral Therapy Targeting Substance Use: Realist Review.

BACKGROUND: There is a growing body of evidence regarding eHealth interventions that target substance use disorders. Development and funding decisions in this area have been challenging, due to a lack of understanding of what parts of an intervention work in which context. OBJECTIVE: We conducted a realist review of the literature on electronic cognitive behavioral therapy (eCBT) programs for substance use with the goal of answering the following realist question: "How do different eCBT interventions for substance use interact with different contexts to produce certain outcomes?" METHODS: A literature search of published and gray literature on eHealth programs targeting substance use was conducted. After data extraction, in order to conduct a feasible realist review in a timely manner, the scope had to be refined further and, ultimately, only included literature focusing on eCBT programs targeting substance use. We synthesized the available evidence from the literature into Context-Mechanism-Outcome configurations (CMOcs) in order to better understand when and how programs work. RESULTS: A total of 54 papers reporting on 24 programs were reviewed. Our final results identified eight CMOcs from five unique programs that met criteria for relevance and rigor. CONCLUSIONS: Five strategies that may be applied to future eCBT programs for substance use are discussed; these strategies may contribute to a better understanding of mechanisms and, ultimately, may help design more effective solutions in the future. Future research on eCBT programs should try to understand the mechanisms of program strategies and how they lead to outcomes in different contexts.

A Process Evaluation of a Web-Based Mental Health Portal (WalkAlong) Using Google Analytics.

BACKGROUND: Despite the increasing amount of research on Web-based mental health interventions with proven efficacy, high attrition rates decrease their effectiveness. Continued process evaluations should be performed to maximize the target population's engagement. Google Analytics has been used to evaluate various health-related Web-based programs and may also be useful for Web-based mental health programs. OBJECTIVE: The objective of our study was to evaluate WalkAlong.ca, a youth-oriented mental health web-portal, using Google Analytics to inform the improvement strategy for the platform and to demonstrate the use of Google Analytics as a tool for process evaluation of Web-based mental health interventions. METHODS: Google Analytics was used to monitor user activity during WalkAlong's first year of operation (Nov 13, 2013-Nov 13, 2014). Selected Google Analytic variables were overall website engagement including pages visited per session, utilization rate of specific features, and user access mode and location. RESULTS: The results included data from 3076 users viewing 29,299 pages. Users spent less average time on Mindsteps (0 minute 35 seconds) and self-exercises (1 minute 08 seconds), which are important self-help tools, compared with that on the Screener tool (3 minutes 4 seconds). Of all visitors, 82.3% (4378/5318) were desktop users, followed by 12.7 % (677/5318) mobile phone and 5.0% (263/5318) tablet users. Both direct traffic (access via URL) and referrals by email had more than 7 pages viewed per session and longer than average time of 6 minutes per session. The majority of users (67%) accessed the platform from Canada. CONCLUSIONS: Engagement and feature utilization rates are higher among people who receive personal invitations to visit the site. Low utilization rates with specific features offer a starting place for further exploration of users in order to identify the root cause. The data provided by Google Analytics, although informative, can be supplemented by other evaluation methods (ie, qualitative methods) in order to better determine the modifications required to improve user engagement. Google Analytics can play a vital role in highlighting the preferences of those using Web-based mental health tools.

Childhood Trauma and Lifetime Traumatic Brain Injury Among Individuals Who Are Homeless.

OBJECTIVES: To study the association of childhood trauma and lifetime prevalence of traumatic brain injury (TBI) among individuals who are homeless. DESIGN: Cross-sectional survey. SETTING: Three cities in British Columbia, Canada. PARTICIPANTS: Five hundred individuals who are homeless and 19 years of age or older in 2009. MEASUREMENTS: Traumatic brain injury was identified with National Survey of Homeless Assistance Providers and Clients (NSHAPC) and childhood trauma using the Childhood Trauma Questionnaire-Short Form (CTQ-SF). The relationship between childhood trauma and TBI was explored using multivariable logistic regression approach, adjusting for age, gender, any psychiatric diagnosis (anxiety disorder, mood disorder, psychosis), alcohol dependence, and substance dependence. The effect of number of childhood trauma types on TBI was also explored using multiple variables logistic regression approach adjusting for the same covariates. RESULTS: The prevalence of TBI was 63.6% and childhood maltreatment was 87.7% among the sample population. During childhood of 487 participants included in the analysis, 57.7% experienced physical abuse, 62.8% physical neglect, 45.8% sexual abuse, 62.4% emotional abuse, and 55.2% emotional neglect. After adjustment, childhood trauma (adjusted odds ratio [aOR] = 2.26; 95% confidence interval [CI], 1.04-5.02), childhood physical abuse (aOR = 2.13; 95% CI, 1.19-3.87; n = 487), and childhood emotional abuse (aOR = 1.95; 95% CI, 1.09-3.51; n = 487) were significantly associated with history of TBI. After adjustment, having 4 different types of childhood trauma (aOR = 2.81; 95% CI, 1.11-7.31) was significantly associated with higher odds of reporting TBI history. CONCLUSIONS: Childhood trauma is significantly associated with lifetime prevalence of TBI in homeless populations in British Columbia, Canada, indicating an added level of vulnerability in this population. In addition, these findings suggest a potential role for childhood trauma prevention strategies and services mindful of the patients' history of trauma for this particularly vulnerable population.