The role of data-driven planning and coalition development in preventing cardiovascular disease

Abstract

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in the United States. Effective programs for the prevention and control of CVD need to include data-based planning and evaluation at the State and local levels. The authors describe the development of data-driven planning and intervention strategies in Missouri. Statewide planning activities have resulted in the formation of an advisory committee and development of a State plan, a resource directory, and training courses. Analysis of mortality data revealed an unusual concentration of CVD deaths in the southeast portion of the State. Local coalitions are being developed in each of six counties in this region to reduce the prevalence of CVD risk factors. A regional behavioral risk factor survey of 1,006 adults identified key risk factors that will be addressed by the coalitions. These data suggested that physical inactivity, obesity, and hypertension are especially acute problems in the area. Key components of the local coalition development included providing localized data and obtaining the strong commitment of the local health departments. Expanded use of chronic disease surveillance data for planning and evaluation will increase the probability that localities, States, and the nation will achieve Year 2000 Health Objectives. The data-based planning process is described as a possible model for use by other States and localities.