Smart Use of State Public Health Data for Health Disparity Assessment: 1st Edition (Hardback) book cover

Smart Use of State Public Health Data for Health Disparity Assessment

1st Edition

By Ge Lin, Ming Qu

Productivity Press

310 pages | 8 Color Illus. | 35 B/W Illus.

Purchasing Options:$ = USD
Hardback: 9781482205312
pub: 2016-03-09
SAVE ~$19.59
$97.95
$78.36
x
eBook (VitalSource) : 9781315372709
pub: 2018-09-03
from $48.98


FREE Standard Shipping!

Description

Health services are often fragmented along organizational lines with limited communication among the public health–related 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 use, their strengths and weaknesses, data management insight, and lessons learned. They propose a bottom-up approach for building an integrated public health data warehouse that includes localized public health data.

The book is divided into three sections: Section I has seven chapters devoted to knowledge and skill preparations for recognizing disparity issues and integrating and analyzing local public health data. Section II provides a systematic surveillance effort by linking census tract poverty to other health disparity dimensions. Section III provides in-depth studies related to Sections I and II. All data used in the book have been geocoded to the census tract level, making it possible to go more local, even down to the neighborhood level.

Table of Contents

Enhanced Public Health Program Collaboration through Data Integration

Introduction

Data Integration at the National and State Levels

Infrastructure Approach to Data Integration

Chapter Highlights

References

Common Population-Based Health Disparity Dimensions

Introduction

Race and Ethnicity

Gender

Socioeconomic Status

Other Dimensions of Health Disparities

Chapter Summary

References

Common Public Health Data in a State Health Department

Introduction

Hospital Discharge Data

Nebraska Cancer Registry Data

Crash Outcome Data Evaluation System

NTR Data

Traumatic Brain and Spinal Cord Injury Registry

Nebraska Parkinson’s Disease Registry

Nebraska State Immunization Information System

Emergency Medical Services

Enhanced HIV/AIDS Reporting System

Nebraska Emergency Room Syndromic Surveillance

Behavioral Risk Factor Surveillance System

Vital Records

Birth Defect Registry

National Electronic Disease Surveillance System

Nebraska Newborn Screening

Pregnancy Risk Assessment Monitoring System

Nebraska Adult Tobacco Survey and Social Climate Survey

Nebraska WIC Program

Pregnancy Nutrition Surveillance System

Pediatric Nutrition Surveillance System

Youth Risk Behavior Survey

Nebraska Youth Tobacco Survey

Nebraska Risk and Protective Factor Student Survey

References

Data Linkage to Gain Additional Information

Introduction

Data Linkage Essentials

Case Study: A Complete Linkage Process

Other Issues in Record Linkage

Chapter Summary

References

Indexing Multiple Datasets: A Bottom-Up Approach to Data Warehousing

Introduction

Top-Down and Bottom-Up Approaches to Data Integration

Piloting Bottom-Up Process to Gain Experience

Developing an Agency-Wide Strategy for MPI for Data Integration

Chapter Summary

References

Using GIS for Data Integration and Surveillance

Introduction

Geocoding-Related Measures in Spatial Analysis

Geocoding Strategies: Toward a Master Address Index

Attaching Census Tract Data to Each Patient

Spatial Visualization and Disease Surveillance

Chapter Summary

References

Methodological Preparation for Health Disparity Assessment

Introduction

Setting the Surveillance Scope

Study Design

Cross-Sectional Measurements

Intertemporal Measurements

Chapter Summary

Appendix

References

SES Disparities in Hospitalization

Introduction

Analytical Approach to Neighborhood SES Disparity Assessments

Surveillance Results

Concluding Remarks

Appendix

References

Sex Disparities in Hospitalization

Introduction

Using Hospital Incidence and Prevalence Data to Revisit the Morbidity–Mortality Paradox

Using Prevalence Data to Assess Diseases More Common among Females

Assessing Hospital Procedure Disparities

Assessing Measurement Consistency

Chapter Summary

References

Rural–Urban Disparities in Hospitalization

Introduction

Our Approach to Model Rural–Urban Difference

Rural–Urban Hospitalization Disparity Surveillance Results

Case Study: Rural–Urban Injury Surveillance

Chapter Summary

Appendix

References

Racial Disparities in Hospitalization

Introduction

Using Multiple Data Sources to Generate the Race Variable for HDD

Patient-Based Assessment for Major Comorbidities

Prevalence, Readmission, and Mortality for Major Hospitalizations

Case Study: Racial Disparity in Rehabilitation among Elderly AMI Patients

Chapter Summary and Concluding Remarks

Appendix A: Race Adjustment Strategies Using the 2010 Census Data

Appendix B: Companion Tables for Tables 11.2 through 11.4

References

Using Emergency Department Data to Conduct Surveillance

Introduction

Influenza and Population Vulnerability

Linking Weather Data to Hospital Data

Chapter Summary and Concluding Remarks

Appendix

References

Linking Cancer Registry Data to Hospital Discharge Data

Introduction

Method

Results

Chapter Summary

References

Mother Index and Its Applications

Birth Certificate Data Linkage: A Brief Review

NMI and Its Applications

Using NMI and Geocoded Data to Construct Residential Mobility Information

Chapter Summary

References

Assessing and Managing Geocoding of Cancer Registry Data

Introduction

Geocoding Assessments

Geocoding Workflow Development

Other Secured Internet Data Sources for Geocoding

Concluding Remarks

References

Sex Difference in Stroke Mortality

Introduction

Methods

Results

Chapter Summary and Discussion

Summary

References

Model Outcomes of Acute Myocardial Infarction (AMI) by Residence and Hospital Locations

Introduction

Method

Results

Concluding Remarks

References

Disparities in Motor Vehicle Crash Injuries: From Race to Neighborhood

Introduction

Phase I Project: MVC Disparity Based on Police-Reported Injury Severity

Phase II Project: Using MAIS for Hospital-Based Surveillance

Phase III Project: Georeferencing MAIS-Based Injury Event to Census Tract for SES Analysis

Chapter Summary and Concluding Remarks

Appendix

References

Linking Cancer Screening and Cancer Registry Data for Outcome Assessments

Introduction

Method

Results

Discussions and Conclusions

References

Linking Environmental Variables to Parkinson’s Disease

Introduction

Environmental and Disease Data Processing

Cluster Detection and Exposure Comparison

Using Case-Control for Exposure Surveillance

Conclusion and Discussion

Appendix: Results from Satscan Test and Associated Pesticides and Herbicides within and outside of the Cluster

References

About the Authors

Ge Lin is a professor of epidemiology in the School of Community Health Sciences, University of Nevada, Las Vegas. He is trained in spatial demography and geographic information systems. He is known for his work in spatial modeling, spatial statistics for count data, and spatial disparities in health. His most recent research focuses on the science of public health data. He uses the infrastructure approach to develop integrated data marts, data analysis utilities, and training modules for public health data specialists. He has been supported by several national and state organizations, including the National Institutes of Health.

Ming Qu is administrator of the Epidemiology and Informatics Unit, Nebraska Department of Health and Human Services (NEDHHS), which provides statistical, epidemiological, and geographic information services that support public health actions and policies. He previously was an injury epidemiologist and Crash Outcome Data Evaluation System administrator for the NDHHS, where he was instrumental in the development of the Nebraska Injury Surveillance System. Dr. Qu supervises functions of professionals and disease and injury surveillance, data collection and quality assurance, data analysis and reporting, data system development and evaluation. He is the author of numerous papers and book chapters.

Subject Categories

BISAC Subject Codes/Headings:
BUS053000
BUSINESS & ECONOMICS / Quality Control
BUS070080
BUSINESS & ECONOMICS / Industries / Service Industries
MAT029000
MATHEMATICS / Probability & Statistics / General
MED002000
MEDICAL / Administration
MED078000
MEDICAL / Public Health