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GP Clinics a new paradigm in managing chronic disease

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Title: GP Clinics a new paradigm in managing chronic disease


1
GP Clinics a new paradigm in managing chronic
disease
  • Terry Rose
  • www.opsun.com.au
  • trose_at_opsun.com.au

2
Who are we?
  • Aberfoyle Park Medical Centre
  • Southern Suburbs of Adelaide, S.A.
  • 3500 patients (WPE Medicare stats)
  • 5 doctors (3 FTE)

3
GP clinics defined
  • A clinic is a group of patients with a common
    diagnosis or problem
  • E.g. cholesterol over 8, gout, eGFR under 60

4
Overview
  • 1 - Creating GP clinics - What surprises lurk
    within our medical records?
  • 2 Using GP clinics - Can we use them to improve
    patient management?
  • 3 Engaging patients in the management of their
    medical conditions
  • 4 Comments on data extraction

5
Creating GP clinics
Open source shareware - download from
www.opsun.com.au
6
Notes on searching the database
  • The examples are from MD2
  • MD3 and Best Practice are essentially the same
    database
  • For this presentation patient names are
    de-identified

7
Search the Measures table
8
GP clinic - last cholesterol gt8
9
GP clinic - last cholesterol gt7
10
Creating GP clinics
31 August 2007 Warning on gout link to heart
disease MEN with gout have a greatly elevated
risk of death from cardiovascular disease,
researchers have found, leading to calls for more
aggressive management of risk factors in these
patients.
11
Search the Past History table
12
GP clinic -gout
13
Creating GP clinics
1 in 7 adults have some sign of CKD Symptoms of
CKD may not appear until kidney function is
severely and irreversibly impaired.
14
GP clinic -CKD
15
GP clinic -Renal Failure
16
Try again
17
Calculate eGFR from creatinine, age and sex
eGFR 186 (Serum Creatinine 88.4)-1.154
(Age)-0.203
18
Search database for eGFR lt 60
19
For eGFR lt 60 exclude old results
20
Interpret data carefully
  • July 2006
    150 patients with coded diabetes
  • Dec 2006
    80 patients with coded diabetes
  • Crude data extraction is fraught with substantial
    errors

21
Using GP clinics
22
Latest measures for the identified group
23
Engaging patients
  • By active feedback
  • By targeted recalls

24
Serial results for Mr R.E.
25
Mr. R. E.These measures are used to help you
better manage your diabetes. Wednesday, 17
January 2007

26
Return rates on mail-outs
  • Diabetes clinic mail out inviting patients to
    attend a clinic 5 return rate
  • Free 45 to 49 health checks (717) 10 return
    rate
  • Latest targeted mail out over 50 return rate

27
How do we do a mail-out?
  • Choose our target group - e.g. last HbA1c over 6
    months ago, or HbA1c over 10
  • Enclose latest results with targets and reasons
    for targets
  • Enclose path request form - Hba1c, cholesterol,
    microalbumin etc
  • A letter specifically asking patients to get the
    test done and see us a week after
  • Personally signed by the doctor

28
Choose according to latest results.This patient
has a HbA1c of 14.8, BP 180/80 and cholesterol of
5.1
29
Create the target group
30
Check last date doctor seen
31
Last date doctor seen
 
 
32
This is our mail-out
33
Comment on data extraction
  • Crude data extraction is fraught with
    systematic errors such as
  • In July 2006 - 150 people with diabetes
  • In Dec 2006 80 people with diabetes
  • The denominator problem

34
HbA1c June 2006 to May 2007
35
IHD BP June 2006 to May 2007
36
Some parameters - average changes
37
Take home pointWe are making a difference
38
Conclusions
  • We can manage chronic diseases more pro-actively
    by using the GP clinics concept
  • We can benefit from software that embraces the
    concept of managing clinics of patients
  • We can provide serial results printouts to engage
    our patients in owning their management

39
Conclusions
  • Recalling targeted patients works
  • For data extraction to be valid, patients will
    need to identify with a single Practice

40
Thank you
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