232068 Surveillance, service and public health science

Tuesday, November 9, 2010 : 9:00 AM - 9:10 AM

Jennifer Bennet , Family Van, Harvard Medical School, Roxbury, MA
Anthony Vavasis, MD , Health Outreach to Teens, Callen-Lorde Community Health Center, New York, NY
Caterina Hill, MSc , Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA
Paul Cote , Family Van, Chestnut Hill, MA
Darien DeLorenzo , Mobile Health Clinics Network, San Francisco, CA
John Brownstein, DPhil , Department of Emergency Medicine/Informatics Program, Children's Hospital Boston, Boston, MA
Nancy Oriol, MD , Office of Student Affairs, Harvard Medical School, Boston, MA
Background: Mobile Health Clinics (MHCs) abound across the United States, often serving patients who are the forefront of emerging disease trends. To date these disparate programs have not been able to aggregate and visualize their data to identify these emerging health trends. By creating a web-based tool to collect MHCs service data we created a community of providers capable of capturing disease trends. Objectives: Set up a surveillance system via MHCs that tracks and maps disease-specific health trends. Methods: Build a web-based tool, with mapping capability that connects the community of MHCs. Invite members of the Mobile Health Clinics Association (MHCA) to participate in the project thereby “putting them on the map". Invite these MHCs to share annual data: service location, patient demographics, number of disease-specific screenings/services delivered. Results: One hundred and eighteen clinics are on the map. Forty-three clinics are connected for ongoing data entry. Nineteen programs entered data about the number of disease-specific services delivered. 3 programs have entered mulityear data. This tool has connected programs across the country, developed an ongoing data collection system capable of geographically displaying disease-specific annual reports. Conclusions: Published literature on the field of mobile health and its surveillance capabilities is none existent. This project has been able to demonstrate the ability to bring together this previously fragmented and unstudied segment of the healthcare sector, aggregate their data for purposes of identifying trends and begin the process of building a real-time data collecting, aggregating and mapping system.

Learning Areas:
Chronic disease management and prevention
Communication and informatics
Conduct evaluation related to programs, research, and other areas of practice
Program planning
Provision of health care to the public
Systems thinking models (conceptual and theoretical models), applications related to public health

Learning Objectives:
Explain the method to turn individual clinic services delivered data into emerging disease surveillance data. Evaluate the usefulness of a webportal for connecting unrelated service providers. Describe the value of mobile clinics to spot emerging disease trends.

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am qualified to present have been directing a mobile health clinic for over eight years. Our program sees high risk hard to serve populations providing access to healthcare, risk assessment for chronic disease and management of chronic disease serving over 5,000 visitors annually.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.