Showing posts with label Data. Show all posts
Showing posts with label Data. Show all posts

Wednesday, October 28, 2015

What Counts? Data Forum Focuses on Innovations in Population Health

How do we move from data to action? I’m excited to be joined by a series of speakers this Thursday (October 29th) at Data! Fostering Health Innovation in Kentucky and Ohio in Erlanger, KY, where we will be exploring this question and presenting recent innovations in improving population health.

As part of a panel focusing on the validity and use of data to address social determinants, I’ll be presenting HealthLandscape’s most recent work on Community Vital Signs, an approach for incorporating community indicators into electronic health records.  Also joining me on the panel are Katie Bachmeyer from Starfire, and Dr. Robert Kahn from Cincinnati’s Children’s Hospital.
Keynote speakers for the conference include Niall Brennan, the Chief Data Officer of the Centers for Medicare and Medicaid Services, and Naomi Cytron, Senior Research Associate in the Community Development Department for the Federal Reserve Bank of San Francisco.
 
Michael Topmiller
Health GIS Research Specialist 
HealthLandscape 
 

Thursday, October 31, 2013

Agenda Announced for Data! Fostering Health Innovation in Kentucky and Ohio Conference




Data! Fostering Health Innovation in Kentucky and Ohio

Tuesday, November 19, 2013, 9:30 am to 4:00 pm ET

Northern Kentucky University METS Center

FREE


Have you registered yet? You can still get in, but we need your reservation by November 9.

The Data! Fostering Health Innovation in Kentucky and Ohio conference will showcase novel and effective uses of health data in the Kentucky-Ohio region. We'll welcome keynote speakers Dwayne Spradlin (CEO of the Health Data Consortium) and Damon Davis (Director of the Health Data Initiative of the U.S. Department of Health and Human Services).

The conference is organized around Thomas R. Frieden's Health Impact Pyramid. The Health Impact Pyramid is a framework that describes different types of public health interventions. Interventions at the base of the pyramid (socioeconomic factors) have potential to impact the greatest number of people; interventions at the top of the framework (counseling and education) require more work on an individual level. (Click here to read a great blog post by Jennifer Chubinski, Director of Community Research at Interact for Health, which presents readers' suggestions on how to apply the pyramid.)

Panel sessions will address three of the five tiers of the Health Impact Pyramid.

Socioeconomic Factors Panel: moderated by Ross Meyer, Vice President, Community Impact, United Way of Greater Cincinnati
  • Simplifying Data to Drive Health and Productivity Strategies: Craig Osterhues, Manager, Health Services, GE Aviation
  • UDS Mapper: Jennifer Rankin, Geospatial Informatics Senior Analyst, Robert Graham Center
  • Exploring the Facts Matter Data Portal: Eric Rademacher, Co-Director, Institute for Policy Research, University of Cincinnati
Changing the Context Panel: moderated by Gabriela Alcalde, Health Policy Director, The Foundation for a Healthy Kentucky
  • Mapping Louisville's Urban Trees: Collecting Baseline Data for a Healthier Community: Pat Smith, Community Planner and Evaluation Researcher with REACH Evaluation and Director, City Collaborative
  • Food Deserts in Hamilton County: Chris Auffrey, Associate Professor, School of Planning, University of Cincinnati
  • Exploring Access to Walking and Biking Trails Using Sidewalk Audits and Participatory Mapping: Michael Topmiller, Doctoral Candidate, Department of Geography, University of Cincinnati and GIS Data Specialist, HealthLandscape, LLC
  • The Cincinnati Bike Flash Map Campaign: Using a Crowd Source Strategy to Map Bike Routes in Cincinnati: Gayle Foster, Project Administrator, Ohio-Kentucky-Indiana Regional Council of Governments
Long-Lasting Protective and Clinical Interventions: moderated by Karen Bankston, Associate Dean of Clinical Practice, Partnership, and Community Engagement, University of Cincinnati College of Nursing
  • Louisville Asthmapolis Project, Civic Health Data: Citizen as Sensors: Ted Smith, Chief of Economic Growth and Innovation, Louisville Metro Government
  • M2M Online Delivery: Healthcare's Next Megatrend: Chuck Thornbury, Founder, meVisit Technologies
  • Overview of the Health Benefit Exchange, KyNect: Carrie Banahan, Executive Director, and Bill Nold, Deputy Executive Director, Kentucky Office of the Health Benefit Exchange
And we'll announce the winner of our infographic competition!

We invite your participation on November 19. Lunch is provided, and you'll have an opportunity for roundtable discussions with the panelists.

Only a few spots remain, so register today!


Please note: The conference is co-sponsored by HealthLandscape, Interact for Health, and the Foundation for a Healthy Kentucky. Registration is free, but we must assess a $75 cancellation charge for any guest who cancels after November 9.

Monday, October 28, 2013

When Do I Use QuickThemes? When Do I Use QuickGeocodes?


Have you ever tried plugging your own data into HealthLandscape and not gotten the results you expected? This happened to one of our users recently. After a quick phone call, we realized we needed to offer some clarification on using QuickThemes and QuickGeocodes.

QuickThemes and QuickGeocodes are two of HealthLandscape's most powerful and popular tools. Both tools:
  • Enable you to upload your own data and create your own maps.
  • Require no GIS expertise to use them.
  • Are free for small data sets. Simply log in to www.HealthLandscape.org to get started and select either QuickThemes or QuickGeocodes from the Tools menu.
There is one major difference between the two tools:
  • QuickThemes requires aggregate data.
  • QuickGeocodes requires address (a.k.a. point-level) data.
This is important, because if you upload the wrong kind of data into the tool, the tool will not work.

Aggregate data "rolls up" individual pieces of data into one collection--a summary, if you will. You see information that applies to a geographical area (sometimes called a geography) rather than to individuals within the geography. It's impossible to garner person- or site-specific information from aggregate data.

Address data (a.k.a. point-level data) is very specific. In GIS terms, it can be displayed as a single point on a map. The point could represent the address of a school, the address of a farmer's market, or even the address of a specific person. Because of that specific address, anyone who views the map can figure out a lot about that person or site. You have to be careful about how you use point-level data. You don't want to inadvertently invade someone's privacy or misuse their data.

Here's a scenario that might further clarify the difference. Perhaps you work for a community health agency that provides on-site clinic care, but also offers in-home support to selected patients. You have a spreadsheet that contains the addresses for every patient you have served over the past year. When would it make sense to use QuickThemes, and when would it be better to use QuickGeocodes?

You might use QuickThemes when you want to see which Zip codes or counties most of your clients come from, or if you're trying to figure out where to locate a new clinic site. Take the spreadsheet, total the number of patients from each county, and map those totals against the corresponding county. You could also tally other demographic information, such as race, insurance status, employment status, or other data variables you collect.

The map might look something like this:

QuickThemes maps aggregate data
Map created using HealthLandscape's QuickThemes tool.
QuickThemes creates maps of aggregate data.
You might use QuickGeocodes when you are trying to understand where patients with asthma or diabetes are located. You could display those addresses on a map, and send a diabetes educator to visit homes of patients' whose glucose levels exceed a certain threshold.
The map might look something like this:

QuickGeocodes maps point-level data
Map created using HealthLandscape's QuickGeocodes tool.
QuickGeocodes creates maps of point-level data.


Twice a month, we offer free "Introduction to HealthLandscape" webinars to help you use HealthLandscape effectively in your context. All of our webinars are live, so they are perfect opportunities to get clarification and ask questions.

Register today!


Introduction to HealthLandscape
In-depth instruction on using HealthLandscape, our free online mapping tool and data library
Tuesday, October 29, 2:00 pm ET
The Community Data Portal
In-depth demonstration of our award-winning data dissemination tool
Thursday, November 7, 2:00 pm EST
Visualizing Data with HealthLandscape
Overview of all of our data visualization tools, including the Site Performance Explorer
Wednesday, November 20, 2:00 pm ET


Monday, September 9, 2013

You're Invited: Data! Fostering Health Innovation in Kentucky and Ohio




Data! Fostering Health Innovation in Kentucky and Ohio

Tuesday, November 19, 2013, 9:30 am to 4:00 pm ET

Northern Kentucky University METS Center

FREE


Mark your calendars for this free, day-long event!

HealthLandscape is proud to co-sponsor the upcoming Data! Fostering Health Innovation in Kentucky and Ohio conference. Join us for a day of fast-moving presentations that will showcase novel and effective uses of health data in the Kentucky–Ohio region.
Damon Davis
Director, Health Data Initiative
U.S. Department of
Health and Human Services
Dwayne Spradlin
CEO, Health Data Consortium

Keynote speakers Dwayne Spradlin and Damon Davis will give national and federal context for health innovation. Other presenters will address:
  • Contextual data for community benefit planning and local asset mapping
  • Built environment strategies to help make the healthy choice the easy choice
  • Novel approaches to chronic disease management and increased access to care
Lunch is provided, and will offer an opportunity for topical roundtable discussion.

Space is limited to the first 250 who register, so register today!

We look forward to seeing you on November 19!

Please note: The conference is co-sponsored by HealthLandscape, Interact for Health, and the Foundation for a Healthy Kentucky. Registration is free, but we must assess a $75 cancellation charge for any guests who cancel after November 9.

Wednesday, August 21, 2013

7 Ways Data Sharing Can Make Your Organization Stronger


Sharing data with your community
can provide tangible benefits for your organization.

Photo ©iStockphoto.com/Peter Booth and Alexandra Booth

We hear a lot about data these days: big data, open data, proprietary data, market data, metadata.

But we don't hear a lot about data sharing. At least not in business or nonprofit circles.

Data sharing is fairly common among university and research institutions who see their data as a public asset. Federal, state, and local governments have begun to step up and release useful data sets. But beyond institutional walls, there is still widespread reticence against letting anyone outside the organization have access to "our" data.

So why would you, as a private company or nonprofit, want to share your data?


1. It makes your data more valuable. 


Your data is just that: your data. By adding your data to others', a fuller picture emerges of what is really happening in your market, industry, or community. This is true whether you formally "pool" your data into a data portal, or simply compare your data against other data sets.


2. It promotes collaboration.


Data sharing helps you choose partners wisely. You're a business owner, and until you sought out that specific data set, you did not realize that Company X had the potential to be an excellent strategic partner. You're a nonprofit executive director just beginning to realize the power of collective impact. By opening up your data, you can more easily answer the question, "Who else is working in this field?"


3. It promotes innovation.


Building 20 at MIT became well-known as an incubator for innovation. Educators and researchers from disparate fields occupied the space, and in the natural course of their workday, they bumped into each other. Through conversations and generally taking an interest in one another, new ideas sprang forth, ideas which may not have come about otherwise.

The same can occur when you share your data. You may inadvertently generate a new app, a new insight, or a new way of looking at the world because you generously made your data available to all.


4. It demonstrates your organization's transparency. 


Every organization has a level of accountability. Businesses must be accountable to their shareholders and consumers; nonprofits must be accountable to their donors and constituents. All must be accountable to their community.

By willingly sharing your data with the community at large, you demonstrate that you are willing to be accountable for your organization's strengths, you are willing to accept responsibility for areas that need improvement, and you are open to being vulnerable to both praise and criticism. All of these actions help to build trust.


5. It enlarges your worldview. 


When you're the only one looking at your data, you can only see things from your point of view. By exposing your data to the rest of the world, you invite comment--and insight. Viewers outside your organization bring their own experience to your data, and may be able to give you a new perspective that might never have been realized had the data been kept internal.


6. It's a two-way street.


Data sharing begets data sharing.Your courage in stepping out will invite others to do the same.


7. It makes things happen.


Data sharing doesn't have to be passive. Host a hackathon to build that elusive app you've been putting off for months. Sponsor a data visualization contest around your data. Tell the data viz team the concept you're trying to express, and let them have a go at it. Design an event that matches creativity to a legitimate need and see what emerges. If nothing else, you've built goodwill and had fun in the process.

We're not suggesting that you release all of your data. Or confidential data. Just data that could benefit the community as a whole. And of course you must employ some safeguards. In a future post, we'll give you some guidelines on how to cleanse and de-identify your data, so that you can share your data with confidence.

Have a specific question about making your data accessible? Contact us at info@healthlandscape.org.

Or visit www.HealthLandscape.org to sign up for a Community Data Portal webinar. (Next one is tomorrow, August 22 at 3:00 pm ET. Click here to register.)

Thursday, June 28, 2012

Data Focus: The American Community Survey


A map generated from HealthLandscape's ACS QuickMaps tool showing percent of persons under 18 below poverty in the Greater Cincinnati region.


HealthLandscape's ACS QuickMaps tool was developed specifically to help you take advantage of the rich data available within the American Community Survey (ACS), the Census Bureau's newest product. Listed below are some FAQs about the survey, and how HealthLandscape makes this data available to you.


Is the American Community Survey the same as the ten-year census?


No. In fact, the ACS replaced the long form of the census in 2010. In simplest terms, the census is conducted every ten years, and is designed primarily to get a "head count," a count of the number of people in the United States and their general characteristics. The ACS is conducted every year and generates 1-year, 3-year, and 5-year data.

What kind of data does the American Community Survey collect?


The ACS collects demographic, social, economic, and housing data such as age, disability, poverty, education levels, race and ethnicity, and employment. (For a full list of topics, click here.)

What is the difference between 1-year, 3-year, and 5-year data?


Refer to the Census Bureau's chart for a detailed explanation. In general:
  • One-year data is 12 months of collected data, and describes areas with populations of 65,000 or more. It is the most current data, but it is also based on the smallest sample size, so it is less reliable than 3-year or 5-year data. One-year data is not available for small geographies.
  • Three-year data is 36 months of collected data, and describes areas with populations of 20,000 or more. It is less current than 1-year data, but more current than 5-year data. Three-year data is available for small geographies.
  • Five-year data is 60 months of collected data, and describes areas with populations of all sizes. It is the least current, but is based on the largest sample size and is therefore the most reliable. Five-year data is available down to the census tract level.
The data is updated every year. So, for example, in December 2011, 2006-2010 5-year estimates were released. At the end of 2012, 2007-2011 5-year estimates will be released.

HealthLandscape uses 5-year ACS data in our QuickMaps tool, and 5-year, 3-year, and 1-year data in our Community HealthView tool.

Where can I get more information about the ACS data sets included in HealthLandscape?


We publish metadata (data about the data) for each data set.

If you're using QuickMaps, look at the bottom center of the screen. You'll find general information about the data set, and a link to the Census Bureau for more information.

If you're using the Community HealthView tool, enter "American Community Survey" in the search box to locate ACS data. Then click the "about" link next to the data set. You'll see detailed metadata, including an abstract, type of data (1-year, 3-year, or 5-year), whether it's state, county, or tract-level data, what fields are included in the data set, and other useful information.


All ACS data is downloadable from the Census Bureau's web site. Our goal at HealthLandscape is to do some of that hard work for you, to make public data sets available in a way that's immediately useful to you and your organization. We want to help you show the need, tell your story, and explore alternatives.

Sign up for an Intro to HealthLandscape webinar to see ACS QuickMaps and Community HealthView in action. If you have specific questions about HealthLandscape or the American Community Survey, contact us at info@healthlandscape.org, or call 513-458-6674.