Geospatial analysis of injury severity on major roads in Ghana (2017-2020): implications for targeted injury prevention and control initiatives.

BACKGROUND: Road safety authorities in high-income countries use geospatial motor vehicle collision data for planning hazard reduction and intervention targeting. However, low-income and middle-income countries (LMICs) rarely conduct such geospatial analyses due to a lack of data. Since 1991, Ghana has maintained a database of all collisions and is uniquely positioned to lead data-informed road injury prevention and control initiatives. METHODS: We identified and mapped geospatial patterns of hotspots of collisions, injuries, severe injuries and deaths using a well-known injury severity index with geographic information systems statistical methods (Getis-Ord Gi*). RESULTS: We identified specific areas (4.66% of major roads in urban areas and 6.16% of major roads in rural areas) to target injury control. Key roads, including National Road 1 (from the border of Cote D'Ivoire to the border of Togo) and National Road 6 (from Accra to Kumasi), have a significant concentration of high-risk roads. CONCLUSIONS: A few key road sections are critical to target for injury prevention. We conduct a collaborative geospatial study to demonstrate the importance of addressing data and research gaps in LMICs and call for similar future research on targeting injury control and prevention efforts.

Economic threshold analysis of delivering a task-sharing treatment for common mental disorders at scale: the Friendship Bench, Zimbabwe.

BACKGROUND: Task-sharing treatment approaches offer a pragmatic approach to treating common mental disorders in low-income and middle-income countries (LMICs). The Friendship Bench (FB), developed in Zimbabwe with increasing adoption in other LMICs, is one example of this type of treatment model using lay health workers (LHWs) to deliver treatment. OBJECTIVE: To consider the level of treatment coverage required for a recent scale-up of the FB in Zimbabwe to be considered cost-effective. METHODS: A modelling-based deterministic threshold analysis conducted within a 'cost-utility' framework using a recommended cost-effectiveness threshold. FINDINGS: The FB would need to treat an additional 3413 service users (10 per active LHW per year) for its scale-up to be considered cost-effective. This assumes a level of treatment effect observed under clinical trial conditions. The associated incremental cost-effectiveness ratio was $191 per year lived with disability avoided, assuming treatment coverage levels reported during 2020. The required treatment coverage for a cost-effective outcome is within the level of treatment coverage observed during 2020 and remained so even when assuming significantly compromised levels of treatment effect. CONCLUSIONS: The economic case for a scaled-up delivery of the FB appears convincing in principle and its adoption at scale in LMIC settings should be given serious consideration. CLINICAL IMPLICATIONS: Further evidence on the types of scale-up strategies that are likely to offer an effective and cost-effective means of sustaining required levels of treatment coverage will help focus efforts on approaches to scale-up that optimise resources invested in task-sharing programmes.

Risk and protective factors of posttraumatic stress disorder among African American women living with HIV.

We sought to examine risk and protective factors for Posttraumatic Stress Disorder (PTSD) among African American women living with HIV. This is a cross-sectional analysis of baseline data from a randomized trial of an HIV stigma reduction intervention. We examined data from two-hundred and thirty-nine African American women living with HIV. We examined whether age, marital status, level of education, internalized HIV-related stigma, and social support as potential protective and risk factors for PTSD symptoms using logistic regression. We analyzed bi-variate associations between each variable and PTSD symptoms, and constructed a multivariate logistic regression model adjusting for all variables. We found 67% reported clinically significant PTSD symptoms at baseline. Our results suggest that age, education, and internalized stigma were found to be associated with PTSD symptoms (p < 0.001), with older age and more education as protective factors and stigma as a risk factor for PTSD. Therefore, understanding this relationship may help improve assessment and treatment through evidence- based and trauma-informed strategies.