Blood Pressure Medication Nonadherence and Proximity to Medication Therapy Management (MTM) Services, Aged 65+

Chronic Disease Map Gallery

Key points

This map highlights disparities in blood pressure medication nonadherence across Minnesota communities. Pharmacists credentialed to provide medication therapy management (MTM) services are also shown, highlighting key non-physician providers who are uniquely prepared to support people in taking their medications as prescribed.

Map

This map displays the percentage of Minnesotans aged 65 and older who are nonadherent to their blood pressure medications. In 2013, the highest levels of nonadherence--21.8 percent to 38.1 percent--are scattered throughout the state, with clusters in the inner Twin Cities, rural and exurban areas to the north of the Twin Cities, and scattered pockets in rural sections of southwestern, west central, and northwestern Minnesota. The lowest levels of nonadherence--13.3 percent to 17.2 percent--are scattered throughout rural parts of Minnesota. Retail and clinic-based pharmacies with at least one pharmacist credentialed to provide medication therapy management services are denoted with green dots.
Blood Pressure Medication Nonadherence and Proximity to Medication Therapy Management (MTM) Services, Aged 65+

Data sources

Major Findings

Minnesota counties with the highest transport times for stroke in 2014 did not have a designated stroke hospital.

How the map will be used, or has been used

Understanding transport times by EMS is important for targeting strategies to improve patient outcomes for stroke based on the prehospital phase of treatment and transport.

ArcGIS 10.5

Minnesota Stroke Registry and MNSTAR ambulance data, 2014.

Ambulance services in Minnesota submit data on their transport activity. These transports were linked with confirmed stroke cases in the Minnesota Stroke Registry using SAS 9.4. The stroke scene locations and the hospital were mapped as point locations in ArcGIS. A network analysis linked the stroke scene location to the hospital destination. EMS transport times were calculated in SAS 9.4 from the ambulance run report. Median transport times per county were calculated from all linked stroke–EMS records.

Julie Hoffer, Research Scientist, Minnesota Department of Health
651-201-4527
julie.hoffer@state.mn.us

Julie Hoffer, Minnesota Department of Health. Accessed from the Centers for Disease Control and Prevention's Chronic Disease Map Gallery.