Addressing Childhood Adversity and Social Determinants inPediatric Primary Care:Recommendations for New Hampshire

Research has clearly demonstrated the significant short- and long-term impacts of adverse childhood experiences (ACEs) and the social determinants of health (SDOH) on child health and well-being.1 Identifying and addressing ACEs and SDOH will require a coordinated and systems-based approach. Pediatric primary care* plays a critical role in this system, and there is a growing emphasis on these issues that may be impacting a family. As awareness of ACEs and SDOH grows, so too does the response effort within the State of New Hampshire. Efforts to address ACEs and the SDOH have been initiated by a variety of stakeholders, including non-profit organizations, community-based providers, and school districts. In late 2017, the Endowment for Health and SPARK NH funded the NH Pediatric Improvement Partnership (NHPIP) to develop a set of recommendations to address identifying and responding to ACEs and SDOH in NH primary care settings caring for children. Methods included conducting a review of literature and Key Informant Interviews (KII). Themes from these were identified and the findings are summarized in this report

TURF for Teams: Considering Both the Team and I in the Work-Centered Design of Systems

Teams are an inherent part of many work domains, especially in the healthcare environment. Yet, most systems are often built with only the individual user in mind. How can we better incorporate the team, as a user, into the design of a system? By better understanding the team, through their user, task, representational, and functional needs, we can create more useful and helpful systems that match their work domain. For this research project, we utilize the TURF framework and expanded it further by also considering teams as a user, thus, creating the TURF for Teams framework. In addition, we chose to examine teams in the emergency department environment. We believe that designing a system with the team also fully incorporated and acknowledged in the work domain will be beneficial for supporting necessary team activities. Using TURF for Teams, we first conducted an observational field study in the emergency department to get a better understanding of the users, teams, tasks, workload, and interactions. We then identified the need for team communications to be better supported, especially in the management of interruptions, and further categorized the interruptions by their function in order to design a team tool that could help team members better manage their interruptions by focusing on the necessary, or domain, types of interruptions and more easily disregarding the unnecessary, or overhead, types of interruptions. We then administered some surveys and conducted a card sort and cognitive walkthrough with emergency clinician participants to help us better identify how to design interfaces for the team tool and simulation that would better match the needs of team communication behaviors observed and reported by emergency clinicians. After designing and developing the team tool and simulation, we conducted an evaluation of this system by having emergency medicine, medicine, and informatics graduate student teams go through the system and utilize the team tool and simulation as a team. Though we had a small sample size, we found that emergency medicine teams found the team tool and simulation to be very usable and they reacted favorably to its potential in helping them better understand and manage their team communications. In summary, we were able to utilize the TURF framework for incorporating teams into the design of systems, in this case a team communication tool and microworld simulation for the emergency department. Our findings suggest that TURF for Teams is a viable framework for designing useful and helpful team based systems for all work domains

Implications of transforming the Patient Record into a Knowledge Management System

In this paper I theorize about how transforming the interpretative scheme for what a patient record is might restructure a health care setting. The observations presented here were obtained when I during three years followed implications of constructing and computerizing a patient record at three different hospitals. The results were then analyzed and interpreted within a framework combining theories about knowledge management with concepts from structuration theory and cognitive theories about schema-use, representations and sense-making. The findings indicate that thinking about the patient record as a knowledge management system might start a horizontal and vertical movement, a movement of coordination and enhancement. I propose that what the employees want to achieve with the knowledge management system depends on what strategy they have for it.interpretative schemes; anesthesia patient record; knowledge management system; knowledge management; structuration theory

Family at the Center

To better understand how family engagement supports school readiness in Los Angeles County, The David and Lucile Packard Foundation and the LA Partnership for Early Childhood Investment convened an advisory group of early childhood leaders and stakeholders to provide advice and explore opportunities to strengthen parent engagement. This report summarizes key insights and recommendations that emerged through these discussions and additional research about parent engagement programs and practices

Smart hospital emergency system via mobile-based requesting services

In recent years, the UK’s emergency call and response has shown elements of great strain as of today. The strain on emergency call systems estimated by a 9 million calls (including both landline and mobile) made in 2014 alone. Coupled with an increasing population and cuts in government funding, this has resulted in lower percentages of emergency response vehicles at hand and longer response times. In this paper, we highlight the main challenges of emergency services and overview of previous solutions. In addition, we propose a new system call Smart Hospital Emergency System (SHES). The main aim of SHES is to save lives through improving communications between patient and emergency services. Utilising the latest of technologies and algorithms within SHES is aiming to increase emergency communication throughput, while reducing emergency call systems issues and making the process of emergency response more efficient. Utilising health data held within a personal smartphone, and internal tracked data (GPU, Accelerometer, Gyroscope etc.), SHES aims to process the mentioned data efficiently, and securely, through automatic communications with emergency services, ultimately reducing communication bottlenecks. Live video-streaming through real-time video communication protocols is also a focus of SHES to improve initial communications between emergency services and patients. A prototype of this system has been developed. The system has been evaluated by a preliminary usability, reliability, and communication performance study