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Developing a Community Health Information System. NAPHSIS Conference – 2006 San Diego, CA June 7, 2006 Thomas F. Reynolds, MS St. Luke’s Episcopal Health Charities And University of Texas School of Public Health.
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Developing a Community Health Information System NAPHSIS Conference – 2006 San Diego, CA June 7, 2006 Thomas F. Reynolds, MS St. Luke’s Episcopal Health Charities And University of Texas School of Public Health
We live in an information age that is transforming the ways in which we engage in actions to improve health. -- Institute of Medicine (2003)
Overview and Presentation Goals • Introduction to the St. Luke’s Episcopal Health Charities’ Community Health Information System (CHIS) • Presentation of Available Data • 3. Changing Focus, Collaboration • 4. Challenges (Problems?)
CHIS Region • 57 Counties in Southeast Texas • Approximately 40% of the state’s population • Greatly driven by Harris County needs • Almost 4 million population • Third largest county in population in the US • Population greater than 24 states • Sub-county health data are a must
CHIS Goals • Provide community health data to diverse audiences at small area levels. • Provide numerical, geographical and statistical information about a community’s population and health. • Present data to assist in assessing both community needs and community resources or assets.
GEOGRAPHIC INFORMATION SYSTEMS (GIS) • A powerful computer-based data collection, analysis and mapping technology • Handle large quantities of data within a geographic context – emphasis “graphic” • Can provide points of reference for people seeking data and information • Allows targeting of resources to increase efficiency and effectiveness
Sources of Data for the CHIS (Population and Assets) • Vital Statistics (Birth and Mortality) • Department of State Health Services • Demographic Data • US Bureau of the Census • State Data Center • Commercial • Community Resources and Assets • St. Luke’s Episcopal Health Charities • Texas Gulf Coast United Way Database • Health Agencies and Committees • Department of Family and Protective Services
Sources of Data for the CHIS(Spatial) • City and County, especially Planning Divisions • Other local area agencies – Councils of Government • State Agencies • Federal Government • Commercial Sites
Data to Information • Data – individual, tabular, point, polygon • Geocode – incidents, assets, point data • Aggregate data to meaningful areas • Apply “generally accepted” methods for data analysis – ex., small area estimates • Create Reports • Display on Web
CHIS POPULATION DATA Demographic and Population Health Indicators • Age Distribution • Race and Ethnicity • Income and Poverty • Educational Attainment • Housing Characteristics • Uninsured Estimates
CHIS Vital Statistics Data • Birth Data • Birth Weight • Mother’s Race/Ethnicity • Mother’s Age • Mother’s Educational Attainment • Trimester of Prenatal Care • Mortality Data • Infant Deaths • Child Deaths • Age of Death • Cause of Death
CHIS Assets Data • SLEHC Activity Data • Texas Gulf Coast United Way Agencies • Education and Schools Data • Health Service Providers, Clinics • Project Safety Net
The Future Is Collaboration and New Data, New Focus
Preparing for the Future • Seeking Collaborative Relationships • Developing Capacity for Expansion • Preparing for Data Standards • Standards for transferring data • Standards for storing and maintaining data
Collaboration • Academic and Research Institutions • Statewide community public health assessment • Agreements to share data and teach methods • Local Health Departments • State Agencies • More types of data • Data use agreements
Expanding Capacity • More Relevant Data – Better Assessments • Morbidity data: inpatient and outpatient • Health services availability and use • Survey and trend data • Dissemination and Presentation • Web-based GIS technology • Advanced data query • Secure research-level data
Data Standards • Public Health Information Network (PHIN) • Better Quality, Increased Timeliness • Data Integration from Multiple Sites • Maintaining and Storing Data • Metadata – data about data • Increasing need for security
Challenges for a CHIS • Financial Resources • Range of Skills Needed • Statistical and data management • GIS • Programming • Data Quality and Relevance • Data Security • Maintaining Confidentiality
Security and Confidentiality • Necessary, must be set as policies • Primary Reason Given for not Sharing Data • Data Use Agreements • View Committees for the Protection of Human Subjects (CPHS) and Institutional Review Boards (IRB) in a friendly manner • Standards and Skills • Levels of Data, Levels of Access
Problems? • Lack of Good or Useable Data • Unable to locate – not able to geocode • Poor data set construction • Mistrust or Fear When Sharing Data • Lack of Initiative for Data “Owner” to Assist in Providing the Data • “Not my job” (can be understood) • Bureaucratic history – “We’ve never shared this data before” • Poor or Costly IRB Procedures