Surveillance methods and interventions implemented in American Indian and Alaska Native communities to increase child restraint device and seat belt use in motor vehicles: a systematic review.

BACKGROUND: American Indian/Alaska Native (AI/AN) children are disproportionately affected by injuries and deaths related to motor vehicle crashes. We aimed to synthesise published evidence on surveillance methods and interventions implemented in AI/AN communities and analyse characteristics that make them successful in increasing child restraint devices and seat belt use. METHODS: Studies were collected from the PubMed, Scopus, and TRID databases and the CDC Tribal Road Safety website, Community Guide, and Indian Health Service registers. Included studies collected primary data on AI/AN children (0-17) and reported morbidity/mortality outcomes related to child restraint devices or seat belt use. Studies with poor methodological quality, published before 2002, whose data were collected outside of the USA, or were non-English, were excluded. Checklists from the Joanna Briggs Institute were used to assess the risk of bias. In the synthesis of results, studies were grouped by whether a surveillance method or intervention was employed. RESULTS: The final review included 9 studies covering 72 381 participants. Studies conducted surveillance methods, interventions involving law enforcement only and multipronged interventions. Multipronged approaches were most effective by using the distribution of child restraint devices combined with at least some of the following components: educational programmes, media campaigns, enactment/enforcement of child passenger restraint laws, incentive programmes and surveillance. DISCUSSION: Although this review was limited by the number and quality of included studies, available resources suggest that we need multipronged, culturally tailored and sustainable interventions fostered by mutually beneficial and trusting partnerships. Continued investment in AI/AN road safety initiatives is necessary.

Applications of Mobile Health Technologies to Address Cardiometabolic Health Disparities in the United States: A Systematic Review.

Introduction: Black and Hispanic adults are disproportionately burdened by cardiometabolic disorders. The aim of this systematic review was to examine the effectiveness of mobile health technologies to promote disease prevention and self-management among US adults in diverse communities. Methods: Potential studies were identified using a comprehensive search of the PubMed and EMBASE databases for recent studies published from December 2018 through 2021. Keywords and search strategies were established to focus on health disparity populations and the application of mobile health technology for cardiovascular disease risk reduction. Titles and abstracts were assessed and, if a study was eligible, 2 independent reviewers completed a full-length review with extraction in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Results: A total of 13 studies met our inclusion criteria. Study sample sizes ranged from 8 to 533 baseline participants. Studies were conducted in diverse communities (eg, North Carolina and California). Most studies used mobile applications (n=11) and a majority used accelerometers or similar technologies (eg, smartwatches) to assess changes in dietary behavior, blood pressure control, and physical activity. Overall, studies reported positive associations between mobile technology use and risk factor reduction actions and behaviors. Long-term adherence varied across studies. Those that prioritized culturally tailored approaches reported more significant impacts than those that did not. Conclusions: Evidence suggests that mobile technology may be useful in promoting disease self-management and risk reduction among populations at higher risk of cardiometabolic diseases. The use of mobile health technologies, particularly when tailored to target populations, may be a practical approach to advancing population health equity.