Putting diabetes on the map: What does population health really look like at the local level?

Jennifer L. Ridgeway, Choon Chern Lim, Juliette T. Liesinger, Steven A. Smith, Nilay D. Shah, Victor M. Montori, Jeanette Y. Ziegenfuss

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Population health data are used to profile local conditions, call attention to areas of need, and evaluate health-related programs.Demand for data to inform health care decision making has spurred development of data sources and online systems, but these are often poorly integrated or limited in scope.Our objective was to identify existing data about diabetes mellitus-related conditions in Minnesota, build an online data resource, and identify what data are currently missing that, if available, would better inform assessment of health conditions in the state.A Web site was developed and populated with existing data and data not available elsewhere.It features functionality identified as most important by users, such as maps and county profiles.The site could serve as a flexible tool for stakeholder engagement, but issues were identified during development, including concerns about interpreting map data and open questions about sustainability, that need to be addressed.

Original languageEnglish (US)
Pages (from-to)411-419
Number of pages9
JournalJournal of Public Health Management and Practice
Volume20
Issue number4
DOIs
StatePublished - 2014

Keywords

  • diabetes
  • geographic mapping
  • health information systems
  • population health
  • public health

ASJC Scopus subject areas

  • Health Policy
  • Public Health, Environmental and Occupational Health

Fingerprint Dive into the research topics of 'Putting diabetes on the map: What does population health really look like at the local level?'. Together they form a unique fingerprint.

  • Cite this