Hypertension and diabetes mellitus are leading health concerns in the United States. Despite a disproportionate burden of both conditions among African Americans, it is estimated that 44% of diabetes cases and one quarter of hypertension cases within this population are undiagnosed. Lack of awareness of the risk of these conditions may hinder preventive efforts and the adoption of positive lifestyle changes. Based on the findings from a pilot study to develop and standardize uniform screening forms for hypertension and diabetes, this article reports on the perceived risk versus actual risk of developing these conditions among primarily African American participants using a community-based screening tool. Each form assessed both perceived and actual risk of diabetes and hypertension, respectively. A total of 265 hypertension and 225 diabetes screening forms were randomly selected from eight sites across the country. The risk perception of the overall study sample was similar to its actual risk for developing either condition. However, a significant proportion of individuals who scored at high risk for diabetes or hypertension were unaware of their risk for these conditions. These results suggest the need for developing culturally relevant interventions, public health education, and policies that address the risk misperceptions among this group.
The article highlights the Telehealth EcoSystem™ model, a holistic
cross-sector approach for socioeconomic revitalization, connectivity,
interoperability and technology infrastructure development to address health
equity for rural underserved communities. Two guiding frameworks, Community
& Economic Development (CED) and Collective Impact, provided the foundation
for the Telehealth EcoSystem™ model. Public and private organizational
capacities are addressed by comprehensive healthcare and social service delivery
through stakeholder engagement and collaborative decision-making processes. A
focus is maintained on economic recovery and policy reforms that enhance
population health outcomes for individuals and families who have economic
challenges.The Telehealth EcoSystem™ utilizes an intranet mechanism that enables a
range of technologies and electronic devices for health informatics and
telemedicine initiatives. The relevance of the intranet to the advancement of
health informatics is highlighted. Best practices in digital connectivity, HIPAA
requirements, electronic health records (EHRs), and eHealth applications, such
as patient portals and mobile devices, are emphasized. Collateral considerations
include technology applications that expand public health services.The ongoing collaboration between a social science research corporation, a
regional community foundation and an open access telecommunications carrier is a
pivotal element in the sequential development and implementation of the
Telehealth EcoSystem™ model in the rural southeastern region
community.
Adaptation, adoption, and implementation of HELP and MyRx demonstrated important postintervention changes among racial/ethnic participants in Chicago and Houston. The communities faced similar implementation challenges across settings, targets of change, and cities. Available resources were insufficient to sustain benefits with measurable impact on racial/ethnic disparities beyond the study period. Results suggest the need for implementation studies of longer duration, greater power, and salience to policies and programs that can sustain longterm interventions on a community-wide scale.
Introduction:The Pathways Community HUB Model provides a unique strategy to effectively supplement health care services with social services needed to overcome barriers for those most at risk of poor health outcomes. Pathways are standardized measurement tools used to define and track health and social issues from identification through to a measurable completion point. The HUB use Pathways to coordinate agencies and service providers in the community to eliminate the inefficiencies and duplication that exist among them.Pathways Community HUB Model and Formalization:Experience with the Model has brought out the need for better information technology solutions to support implementation of the Pathways themselves through decision-support tools for care coordinators and other users to track activities and outcomes, and to facilitate reporting. Here we provide a basis for discussing recommendations for such a data infrastructure by developing a conceptual model that formalizes the Pathway concept underlying current implementations.Requirements for Data Architecture to Support the Pathways Community HUB Model:The main contribution is a set of core recommendations as a framework for developing and implementing a data architecture to support implementation of the Pathways Community HUB Model. The objective is to present a tool for communities interested in adopting the Model to learn from and to adapt in their own development and implementation efforts.Problems with Quality of Data Extracted from the CHAP Database:Experience with the Community Health Access Project (CHAP) data base system (the core implementation of the Model) has identified several issues and remedies that have been developed to address these issues. Based on analysis of issues and remedies, we present several key features for a data architecture meeting the just mentioned recommendations.Implementation of Features:Presentation of features is followed by a practical guide to their implementation allowing an organization to consider either tailoring off-the-shelf generic systems to meet the requirements or offerings that are specialized for community-based care coordination.Discussion:Looking to future extensions, we discuss the utility and prospects for an ontology to include care coordination in the Unified Medical Language System (UMLS) of the National Library of Medicine and other existing medical and nursing taxonomies.Conclusions and Recommendations:Pathways structures are an important principle, not only for organizing the care coordination activities, but also for structuring the data stored in electronic form in the conduct of such care. We showed how the proposed architecture encourages design of effective decision support systems for coordinated care and suggested how interested organizations can set about acquiring such systems. Although the presentation focuses on the Pathways Community HUB Model, the principles for data architecture are stated in generic form and are applicable to any health information system for improving care coordinati...
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