Description
Book SynopsisHealth services are often fragmented along organizational lines with limited communication among the public healthrelated programs or organizations, such as mental health, social services, and public health services. This can result in disjointed decision making without necessary data and knowledge, organizational fragmentation, and disparate knowledge development across the full array of public health needs. When new questions or challenges arise that require collaboration, individual public health practitioners (e.g., surveillance specialists and epidemiologists) often do not have the time and energy to spend on them.
Smart Use of State Public Health Data for Health Disparity Assessment promotes data integration to aid crosscutting program collaboration. It explains how to maximize the use of various datasets from state health departments for assessing health disparity and for disease prevention. The authors offer practical advice on state public health data us
Table of Contents
Enhanced Public Health Program Collaboration through Data Integration. Common Population-Based Health Disparity Dimensions. Common Public Health Data in a State Health Department. Data Linkage to Gain Additional Information. Indexing Multiple Datasets: A Bottom-Up Approach to Data Warehousing. Using GIS for Data Integration and Surveillance. Methodological Preparation for Health Disparity Assessment. SES Disparities in Hospitalization. Sex Disparities in Hospitalization. Rural–Urban Disparities in Hospitalization. Racial Disparities in Hospitalization. Using Emergency Department Data to Conduct Surveillance. Linking Cancer Registry Data to Hospital Discharge Data. Mother Index and Its Applications. Assessing and Managing Geocoding of Cancer Registry Data. Sex Difference in Stroke Mortality. Model Outcomes of Acute Myocardial Infarction (AMI) by Residence and Hospital Locations. Disparities in Motor Vehicle Crash Injuries: From Race to Neighborhood. Linking Cancer Screening and Cancer Registry Data for Outcome Assessments. Linking Environmental Variables to Parkinson’s Disease.
