Diabetic Eval of 4 Hospital Systems
Executive Summary
Findings from a review of four
primary care clinics in the Northwest with a total sample population size of
1200, reflect A1C levels that are categorized as controlled, pre-diabetic, and
not controlled. The first set of data takes into consideration a total sample
count of 2400 A1C levels that include duplicate patient information captured with
no changes in A1C levels. The second set of data represents the same data
captured less 903 exact duplicate AIC levels to only capture true metrics that
measure changes in A1C levels with a new sample size of 1497. The data
represented in the charts reflect a side by side comparison to analyze patient
changes in A1C levels by location and physician. This data is presented to help
determine most at-risk population for uncontrolled diabetes.
Analysis
Pre-Diabetic Findings for Least At-Risk Patients
By and Most at Risk by Clinic:
1. Northwest
4 (N4) – Overall has the better outcome level as it pertains to all categories.
2. Northwest
1 (N1) – Falls behind as compared to its counterparts and has a more at-risk population as it
pertains to pre-diabetic findings
The overall sample sets taken
without removing the duplicate data is 600. By comparison the pre-diabetic
findings are only 5% of the overall sample size. Whereas, for N4 the
pre-diabetic status is 13%. Given that the sample sizes are the same. Comparing
the new sample sizes less any duplicates provide new values where the
prediabetic status for N1 is now 18%. Also, to take into consideration is the
difference in sample size change for N1, where the new sample size is 410 which
is a 32% difference from 600 and only 21% of the total duplicate record count.
This shows that there where little to no changes for this location reflecting a
higher risk population.
Normal Findings by Location (Low A1C <5.7)
(Where 1 reflects best location to 4 In order of most effective to least):
1. Northwest
4 – Is the location that has the most patients categorized with status of
A1C < 5.7.
2. Northwest
2 (N2) – Is population with next best findings
3. Northwest
3 (N3) & N4 – Both locations are encountering issues with A1C levels and have lower
controlled patients.
Provider with Patients Least at Risk for Diabetes
N4 has provider Dr. Black who seems
to be the most effective of all the physicians with regards to maintaining
patient A1C levels. According to the sample size by comparison to other
physicians Dr. Claus or Dr. Redding, the Dr. Black has overall lower
pre-diabetic patients and non-in-control patients.
Discussion
As outlined in both graphs overall
the Northwest 1 location has the most patients categorized with an A1C level
that meets the pre-diabetic criteria. This is indicative of a more at-risk
population. Compared to its counterpart locations N4 is leading the group in
managing patient diabetes. Overall in all three categories N4 weighs in with
better patient management results.
Recommendation
In order to improve patient
management and decrease the risk of patients moving to a pre-diabetic state or
non-controlled category. I would recommend increasing patient engagement
practices. According to Hagland (2015), in a recent discussion, healthcare
professionals weighed in on patient engagement. According to industry leader
Stephen Odra, M.D. providing additional tools that include information and
technology can help encourage a more engaged patient. As it is today a lot of
the recommendation on healthcare are physician driven with little patient
involvement. The focus should not be engaging the patient in their healthcare
needs and encouraging more communication for better patient management.
Reference:
Hagland,
M. (2015). A Tougher Nut to Crack Than Had Been Expected: The Hard Realities
Around Patient Engagement. Retrieved from: https://www.healthcare-informatics.com/blogs/mark-hagland/harder-nut-crack-had-been-expected-hard-realities-involved-pushing-ahead-patient?utm_campaign=Vertical%20-%20Business%20Management&utm_source=hs_email&utm_medium=email&utm_content=22790201&_hsenc=p2ANqtz--hTfZJAsP1vvB7jrIN8CeLl4dsIB7TWaoE8cO0l3O2WBnFwFF_vyjno9dF0Y7nssyD1d8STwMc2uMDVj5OjS0qPnSHLw&_hsmi=22790201
