ABSTRACT
Life expectancy at birth has increased from 74 years in 1980 to 78 years in 2006. Older adults (aged 65 years and older) are living longer with cardiovascular conditions, which are leading causes of death and disability and thus an important public health concern. We describe several major issues, including the impact of comorbidities, the role of cognitive health, prevention and intervention approaches, and opportunities for collaboration to strengthen the public health system. Prevention can be effective at any age, including for older adults. Public health models focusing on policy, systems, and environmental change approaches have the goal of providing social and physical environments and promoting healthy choices.
Subject(s)
Cardiovascular Diseases/prevention & control , Health Promotion/methods , Public Health/methods , Aged , Aged, 80 and over , Cardiovascular Diseases/epidemiology , Cognition Disorders , Community-Based Participatory Research , Data Collection , Female , Health Status Disparities , Humans , Male , Public-Private Sector PartnershipsABSTRACT
BACKGROUND: While increasing attention is placed on using evidence-based decision making (EBDM) to improve public health, there is little research assessing the current EBDM capacity of the public health workforce. Public health agencies serve a wide range of populations with varying levels of resources. Our survey tool allows an individual agency to collect data that reflects its unique workforce. METHODS: Health department leaders and academic researchers collaboratively developed and conducted cross-sectional surveys in Kansas and Mississippi (USA) to assess EBDM capacity. Surveys were delivered to state- and local-level practitioners and community partners working in chronic disease control and prevention. The core component of the surveys was adopted from a previously tested instrument and measured gaps (importance versus availability) in competencies for EBDM in chronic disease. Other survey questions addressed expectations and incentives for using EBDM, self-efficacy in three EBDM skills, and estimates of EBDM within the agency. RESULTS: In both states, participants identified communication with policymakers, use of economic evaluation, and translation of research to practice as top competency gaps. Self-efficacy in developing evidence-based chronic disease control programs was lower than in finding or using data. Public health practitioners estimated that approximately two-thirds of programs in their agency were evidence-based. Mississippi participants indicated that health department leaders' expectations for the use of EBDM was approximately twice that of co-workers' expectations and that the use of EBDM could be increased with training and leadership prioritization. CONCLUSIONS: The assessment of EBDM capacity in Kansas and Mississippi built upon previous nationwide findings to identify top gaps in core competencies for EBDM in chronic disease and to estimate a percentage of programs in U.S. health departments that are evidence-based. The survey can serve as a valuable tool for other health departments and non-governmental organizations to assess EBDM capacity within their own workforce and to assist in the identification of approaches that will enhance the uptake of EBDM processes in public health programming and policymaking. Localized survey findings can provide direction for focusing workforce training programs and can indicate the types of incentives and policies that could affect the culture of EBDM in the workplace.