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About the Data

Learn more about the information on this site

This information defines terms used throughout the site as well as a description of the methodologies used to determine a PO's comparative results.

This information comes from a neutral, objective source (the Greater Detroit Area Health Council), not the POs or practices themselves, or from health plans. If you can't find your primary care practice on any of the lists, we strongly encourage you to talk to your primary care provider about joining the Michigan Patient Experience of Care initiative (MiPEC).

When were these survey results collected?

These survey results were collected in 2016. Survey responses for 2017 are currently being collected.

What is a Physician Organization?

Many doctors in Michigan belong to groups called Physician Organizations (POs). Physician Organizations help providers share information about best practices for treatment, which helps providers improve the quality of your care. Many POs, including those included in these reports, work with their physicians and other providers to improve patients' experience when they visit the practice. POs also work with their physicians to help keep costs down so that medical care is more affordable. Physician Organizations are made up of providers in many specialties in offices and clinics throughout Michigan. Physician Organizations vary widely in the number of physicians and the location of the physician offices included in each PO.

Why are Physician Organizations important to me?

Providers in Physician Organizations work together to share best practices to make sure that their patients receive high-quality care. Some POs and their providers provide excellent care, while others are still improving. Although there are differences in PO performance, physicians are working to continuously improve and provide high quality care. For example, some POs are working with physicians to implement electronic prescribing and patient tracking systems or "registries" that help physicians better manage care; others have added use of a tool to improve care of high blood pressure in their patients with diabetes; others have helped their physicians to communicate better with patients.

How were comparative results calculated?

Statistical tests were performed to determine whether a particular PO's mean (average) score for a measure is "average" (meaning the same as), "above" or "below" the mean (average) score for the group of 12 POs as a whole, the overall mean. A mean or average score is the result of averaging everyone's responses to the survey questions that relate to the measure—for example, the average of those who responded "never", those who responded "sometimes", those who responded "usually" and those who responded "always"; or the average of those who responded "no" and those who responded "yes".  This mean or average score is not the same as the "% always" or "% yes" scores shown in the reports.

If the report shows that a PO's average score is "Above", it is concluded that the PO's average score is significantly different and higher/better than the overall group's average score for that measure. Likewise, if the report shows that a PO's average score is "Below", it is concluded that the PO's average score is significantly different and lower/worse than the overall group's average score for that measure. Finally, if the report shows that a PO's average score is "Average", it is concluded that the PO's average score is not significantly different than the overall group's average score for that measure, and that any difference is likely due to random chance.

Statistical tests (t-tests) were used to determine whether there was a significant difference between PO means and the overall mean.  For these statistical tests, it was decided to use a significance level of 5% (p value of .05). The p value indicates the likelihood that the difference between means (e.g., a particular PO's average score vs. the overall group's average score) is due to random chance, or due to something else (i.e., an actual difference in performance on that measure). 

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