On January 24th, James Schwab joined The Health Foundation of Greater Cincinnati as the new director, president, and chief executive officer.
Schwab, who previously announced his retirement as the Cincinnati market president for U.S. Bank, has long been deeply involved with Cincinnati’s non-profit community. He is chairman of the board of TriHealth and serves on the board of the Health Improvement Collaborative. Schwab also serves as trustee of The University of Cincinnati Foundation; The Cincinnati Symphony Orchestra; Hoxworth Blood Center; The Children’s Home; The Cincinnati Zoo; the Research and Education Committee of Cincinnati’s Children’s Research Foundation; and the Southwest Ohio Region Workforce Investment Board. Schwab is also a trustee of the Cincinnati USA Regional Chamber.
Jim Schwab is a lifelong Cincinnati resident and has held many positions with companies that dot Cincinnati’s skyline including Great American Holding Company, Xtec, General Cable Corporation, American Financial Corporation, Corporex and The Baldwin-United Corporation. Schwab graduated from the University of Cincinnati and the University of Michigan Law School.
HealthLandscape welcomes Mr. Schwab to the Health Foundation. We look forward to working together.
Thursday, January 27, 2011
Wednesday, January 12, 2011
Looking for More Data?
Visit OASIS - the Online Analysis and Statistical Information System. OASIS is a project funded by The Health Foundation of Greater Cincinnati as a way to make the results of research more accessible to its grantees and the general public.
OASIS now has a blog and a Facebook page, so check it out if you're interested in more data. You can also follow OASIS on Twitter.
OASIS now has a blog and a Facebook page, so check it out if you're interested in more data. You can also follow OASIS on Twitter.
Thursday, December 9, 2010
Small Area Income and Poverty Estimates, 2009
New data available in HealthLandscape!
Yesterday, the U.S. Census Bureau released their 2009 Small Area Income and Poverty Estimates. According to their analysis, the poverty rate for children ages 5 to 17 in families rose in 295 counties and declined in 19 counties between 2007 and 2009. Most counties saw no statistically significant change between these years.
The U.S. Census Bureau, with support from other Federal agencies, created the Small Area Income and Poverty Estimates (SAIPE) program to provide more current estimates of selected income and poverty statistics than those from the most recent decennial census.
The U.S. Census Bureau's Small Area Income and Poverty Estimates (SAIPE) program provides annual estimates of income and poverty statistics for all states, counties, and school districts. The main objective of the program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, there are hundreds of state and local programs that depend on income and poverty estimates for distributing funds and managing programs.
The SAIPE program produces the following county estimates:
• total number of people in poverty
• number of related children ages 5 to 17 in families in poverty
• number of children under age 18 in poverty
• median household income
The estimates are not direct counts from enumerations or administrative records, nor direct estimates from sample surveys. Instead, income and poverty estimates are modeled by combining survey data with population estimates and administrative records. Beginning with the SAIPE program's estimates for 2005, data from the American Community Survey (ACS) are used in the estimation procedure; all prior years used data from the Annual Social and Economic Supplements of the Current Population Survey. Further details are given in a 2007 SAIPE report, Use of ACS Data to Produce SAIPE Model-Based Estimates of Poverty for Counties [PDF 3.4M]. For more information, see Small Area Income & Poverty Estimates.
Figure 1. Percent of Population in Poverty by County, 2009
Figure 2. Percent of Population Under 18 Years of Age in Poverty by County, 2009
Yesterday, the U.S. Census Bureau released their 2009 Small Area Income and Poverty Estimates. According to their analysis, the poverty rate for children ages 5 to 17 in families rose in 295 counties and declined in 19 counties between 2007 and 2009. Most counties saw no statistically significant change between these years.
The U.S. Census Bureau, with support from other Federal agencies, created the Small Area Income and Poverty Estimates (SAIPE) program to provide more current estimates of selected income and poverty statistics than those from the most recent decennial census.
The U.S. Census Bureau's Small Area Income and Poverty Estimates (SAIPE) program provides annual estimates of income and poverty statistics for all states, counties, and school districts. The main objective of the program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, there are hundreds of state and local programs that depend on income and poverty estimates for distributing funds and managing programs.
The SAIPE program produces the following county estimates:
• total number of people in poverty
• number of related children ages 5 to 17 in families in poverty
• number of children under age 18 in poverty
• median household income
The estimates are not direct counts from enumerations or administrative records, nor direct estimates from sample surveys. Instead, income and poverty estimates are modeled by combining survey data with population estimates and administrative records. Beginning with the SAIPE program's estimates for 2005, data from the American Community Survey (ACS) are used in the estimation procedure; all prior years used data from the Annual Social and Economic Supplements of the Current Population Survey. Further details are given in a 2007 SAIPE report, Use of ACS Data to Produce SAIPE Model-Based Estimates of Poverty for Counties [PDF 3.4M]. For more information, see Small Area Income & Poverty Estimates.
Figure 1. Percent of Population in Poverty by County, 2009
Figure 2. Percent of Population Under 18 Years of Age in Poverty by County, 2009
Wednesday, November 17, 2010
Happy GIS Day!
What a great fall season so far - October brought us World Statistics Day, and November brings us GIS Day. For those of you who aren't well-acquainted with the term, GIS stands for Geographic Information System. GIS brings together technology and data to create a unique way to capture and display information. We use GIS to visualize data in a way that's often more meaningful than simple tables of numbers, where the real story often gets lost in the rows and columns. Displaying the data in geographic context makes it easier to spot patterns, trends, and relationships.
HealthLandscape uses GIS technology to map community data, including health, socio-economic and environmental information. The power behind the HealthLandscape platform is that all of the data are freely available in one central location.
Figure 1. Rate of High Cost Conventional Loans - Cincinnati Region - 2008 (Tract Level)
Figure 2. Ohio Self-Sufficiency Standard 2008: One Adult, One Infant, One Preschooler
Figure 3. County-Level Counts of H1N1 Cases
Other groups and agencies use GIS for in variety of applications, including mapping the ground motion and shaking intensity after an earthquake, the environmental consequences of natural and man-caused disasters, estimated carbon emission patterns, and crime rates. There is even an entire project dedicated to the mapping of historical Census data - GIS For History.
Figure 4. Pacific Northwest Shakemap, U.S. Geological Survey
Figure 5. Guimaras Oil Spill, Philippines, WWF Philippines
Figure 6. Total Emissions of Fossil Fuel Carbon Dioxide, The Vulcan Project
Figure 7. Rutgers Crime Log, Rutgers University
Figure 8. The First Census: America in 1790, GIS For History
For more information on GIS, visit GIS.com.
Show the need.
Paint a portrait.
Tell the story.
HealthLandscape uses GIS technology to map community data, including health, socio-economic and environmental information. The power behind the HealthLandscape platform is that all of the data are freely available in one central location.
Figure 1. Rate of High Cost Conventional Loans - Cincinnati Region - 2008 (Tract Level)
Figure 2. Ohio Self-Sufficiency Standard 2008: One Adult, One Infant, One Preschooler
Figure 3. County-Level Counts of H1N1 Cases
Other groups and agencies use GIS for in variety of applications, including mapping the ground motion and shaking intensity after an earthquake, the environmental consequences of natural and man-caused disasters, estimated carbon emission patterns, and crime rates. There is even an entire project dedicated to the mapping of historical Census data - GIS For History.
Figure 4. Pacific Northwest Shakemap, U.S. Geological Survey
Figure 5. Guimaras Oil Spill, Philippines, WWF Philippines
Figure 6. Total Emissions of Fossil Fuel Carbon Dioxide, The Vulcan Project
Figure 7. Rutgers Crime Log, Rutgers University
Figure 8. The First Census: America in 1790, GIS For History
For more information on GIS, visit GIS.com.
Show the need.
Paint a portrait.
Tell the story.
Monday, November 15, 2010
Robert Graham Center Unveils Med School Mapper
The American Academy of Family Physicians’ Robert Graham Center for Policy Studies in Family Medicine and Primary Care publicly launched the Med School Mapper project on November 1, 2010, with funding provided by the Josiah Macy, Jr. Foundation.
Amidst American Association of Medical Colleges (AAMC) and Council on Graduate Medical Education (COGME) recommended expansion of medical education, principally through expansion of existing training sites, there is little mention or measurement of how the large investments of public dollars meet the needs of the citizens. In response to this, the Macy Foundation funds the Medical Education Futures Study (MEFS), whose main mission is “to highlight the social mission of medical education during the current period of medical school expansion and potential major health care reform. ” This ranking of schools by social accountability is a novel step in understanding their social impact on a national scale. However, as state policymakers attempt to direct expansion funding in terms of accountability to their own regional, social and health care access needs, they have few tools for understanding the local and regional impact of schools. Neither national rankings nor workforce models can capture the regional impact of training sites.
The Robert Graham Center has been studying means of demonstrating such an impact, using geographic and policy analyses of individual medical schools’ graduates (both allopathic and osteopathic). Using novel approaches to analyzing and displaying regional impact, the Med School Mapper will give planners essential information for directing and evaluating medical school expansion and its impact on access and other social aims. This tool utilizes American Medical Association (AMA) data, and ranks states and their medical schools on various areas of practice and the number and percent of graduates retained in state. The Mapper tracks the graduate footprint from a state, or medical school within that state, to provide a clear visualization of the practice locations of graduates by county, their penetration rates within counties, and information about the types of areas and specialties in which these graduates practice in order to provide data detailing how well a particular state or school meets its mission of social accountability.
Figure 1. State Footprint
Figure 2. School Footprint
Amidst American Association of Medical Colleges (AAMC) and Council on Graduate Medical Education (COGME) recommended expansion of medical education, principally through expansion of existing training sites, there is little mention or measurement of how the large investments of public dollars meet the needs of the citizens. In response to this, the Macy Foundation funds the Medical Education Futures Study (MEFS), whose main mission is “to highlight the social mission of medical education during the current period of medical school expansion and potential major health care reform. ” This ranking of schools by social accountability is a novel step in understanding their social impact on a national scale. However, as state policymakers attempt to direct expansion funding in terms of accountability to their own regional, social and health care access needs, they have few tools for understanding the local and regional impact of schools. Neither national rankings nor workforce models can capture the regional impact of training sites.
The Robert Graham Center has been studying means of demonstrating such an impact, using geographic and policy analyses of individual medical schools’ graduates (both allopathic and osteopathic). Using novel approaches to analyzing and displaying regional impact, the Med School Mapper will give planners essential information for directing and evaluating medical school expansion and its impact on access and other social aims. This tool utilizes American Medical Association (AMA) data, and ranks states and their medical schools on various areas of practice and the number and percent of graduates retained in state. The Mapper tracks the graduate footprint from a state, or medical school within that state, to provide a clear visualization of the practice locations of graduates by county, their penetration rates within counties, and information about the types of areas and specialties in which these graduates practice in order to provide data detailing how well a particular state or school meets its mission of social accountability.
Figure 1. State Footprint
Figure 2. School Footprint
Thursday, November 11, 2010
HealthLandscape Version 3.0 - Coming Soon!
The HealthLandscape team is in Washington, DC this week finishing up the development of HealthLandscape Version 3.0. We've been putting in long hours with our friends at Blue Raster and the Robert Graham Center making improvements to the current HealthLandscape. When HealthLandscape V3 is released, users will have access to a number of new tools including quick geocodes, quick maps, drawing tools, improved printing capabilities, and easy data exports, just to name a few.
We're very excited about the new developments. Many more details and final release date coming soon!
We're very excited about the new developments. Many more details and final release date coming soon!
Friday, October 29, 2010
Halloween Mapping with HealthLandscape
The US Census Bureau just released their Halloween Special Feature. According to their research, in 2009 there were 36 million potential trick-or-treaters, or children between the ages of 5 and 13. These trick-or-treaters had 111.3 million occupied housing units to canvas for the annual haul of candy.
HealthLandscape can help you with your Halloween planning. If your county has a high number of trick-or-treaters, then you'd better have a few extra bowls of candy standing by.
Figure 1. Number of Children Ages 5 to 13, 2009 (Population Estimates)
Speaking of candy, in 2009 Americans had a per capital candy consumption of 24.3 pounds! Where did it all come from? California has the largest number of confectionary establishments, with 193. Pennsylvania is second, with 143, and New York is third, with 120.
Figure 2. Number of Confectionary Manufacturing Establishments (Chocolate and Non-Chocolate), 2008 (County Business Patterns)
Happy Halloween!
HealthLandscape can help you with your Halloween planning. If your county has a high number of trick-or-treaters, then you'd better have a few extra bowls of candy standing by.
Figure 1. Number of Children Ages 5 to 13, 2009 (Population Estimates)
Speaking of candy, in 2009 Americans had a per capital candy consumption of 24.3 pounds! Where did it all come from? California has the largest number of confectionary establishments, with 193. Pennsylvania is second, with 143, and New York is third, with 120.
Figure 2. Number of Confectionary Manufacturing Establishments (Chocolate and Non-Chocolate), 2008 (County Business Patterns)
Happy Halloween!
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