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Public health practitioners can use Behavior Over Time (BOT) graphs to spur discussion and systems thinking around complex challenges. Multiple large systems, such as health care, the economy, and education, affect chronic disease rates in the United States. System thinking tools can build public health practitioners’ capacity to understand these systems and collaborate within and across sectors to improve population health. BOT graphs show a variable, or variables (y axis) over time (x axis). Although analyzing trends is not new to public health, drawing BOT graphs, annotating the events and systemic forces that are likely to influence the depicted trends, and then discussing the graphs in a diverse group provides an opportunity for public health practitioners to hear each other’s perspectives and creates a more holistic understanding of the key factors that contribute to a trend. We describe how BOT graphs are used in public health, how they can be used to generate group discussion, and how this process can advance systems-level thinking. Then we describe how BOT graphs were used with groups of maternal and child health (MCH) practitioners and partners (N = 101) during a training session to advance their thinking about MCH challenges. Eighty-six percent of the 84 participants who completed an evaluation agreed or strongly agreed that they would use this BOT graph process to engage stakeholders in their home states and jurisdictions. The BOT graph process we describe can be applied to a variety of public health issues and used by practitioners, stakeholders, and researchers.

Objectives. We used a Health in All Policies (HiAP) framework to determine what data, policy, and community efficacy opportunities exist for improving sexual health and reducing sexually transmitted diseases (STDs) in an area surrounding an Army base undergoing redevelopment in Atlanta, Georgia .Methods. We conducted a literature review, consulted with experts, mapped social determinants in the community, conducted key informant interviews with community leaders to explore policy solutions, used Photovoice with community members to identify neighborhood assets, and shared data with all stakeholder groups to solicit engagement for next steps .Results. We identified the following HiAP-relevant determinants of STD inequities in the literature: education, employment, male incarceration, drug and alcohol marketing, and social capital . Quantitative data confirmed challenges in education, employment, and male incarceration in the area . Interviews identified policy opportunities such as educational funding ratios, Community Hire Agreements, code and law enforcement, addiction and mental health resources, lighting for safety, and a nonemergency public safety number . Photovoice participants identified community assets to protect including family-owned businesses, green spaces, gathering places, public transportation resources, historical sites, and architectural elements . Stakeholder feedback provided numerous opportunities for next steps .Conclusions. This study contributes to the HiAP literature by providing an innovative mixed-methods design that locates social determinants of STDs within a geographic context, identifies policy solutions from local leaders, highlights community assets through the lens of place attachment, and engages stakeholders in identifying next steps . Findings from this study could inform other redevelopments, community-based studies of STDs, and HiAP efforts .

Summary Objectives To assess current knowledge of National Heart, Lung and Blood Institutes (NHLBI) and Thalassemia International Federation (TIF) recommendations, blood banking practices and perceived challenges among transfusion services in the management of patients with haemoglobinopathies. Background Previous reports have demonstrated variations in transfusion practices for sickle cell disease (SCD) and thalassemia patients. Recently, NHLBI/TIF have provided transfusion recommendations for patients with haemoglobinopathies. Methods A cross‐sectional survey was conducted of transfusion services from the state of Georgia previously identified as having SCD/thalassemia populations. The survey assessed transfusion service practices in pre‐transfusion testing and blood product selection; awareness/implementation of NHLBI/TIF transfusion‐based recommendations and perceived challenges in transfusing haemoglobinopathy patients. Results Responses were received from 35 of 49 (71%) institutions. Only institutions indicating transfusing SCD or thalassemia patients (32) were included in analysis. Seventy‐one percent of non‐sickle cell treatment centres (SCTCs) and 20% of non‐thalassemia treatment centres follow NHLBI and TIF recommendations to perform a red blood cell phenotype beyond ABO/Rh(D) and provide Rh and Kell prophylactically matched units for SCD and thalassemia patients, respectively. Forty percent of institutions (33% of non‐SCTCs) employ RBC genotyping to evaluate the red cell phenotype for SCD patients. Over 77% of institutions do not utilise a reliable method to identify SCD patients prior to transfusion, such as a required question/answer field on type/screen or crossmatch orders. Conclusion Many healthcare systems' transfusion practices for haemoglobinopathy patients are discordant with NHLBI/TIF recommendations. Efforts are needed to increase awareness and implementation of current recommendations among all transfusion services seeing these patients.

Blood transfusions are indicated for some acute complications of sickle cell disease (SCD). To characterize the SCD population at increased risk of transfusion-associated complications, Georgia hospital discharge data were used to estimate the frequency of intermittent transfusions and the proportion of patients receiving them at multiple institutions. Ten years of data (2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016) showed almost 19% of patients with SCD (1585/8529) received transfusions at more than one hospital. The likelihood of multisite transfusions increased from ages 18 through 40 and with the number of transfusions received. The results support the need to track and share transfusion histories in order to reduce complication risks. K E Y W O R D Sblood transfusions, interoperability, patient safety, sickle cell disease