Your Chart Your Chart Review Data Review Data Lara Zisblatt, MA - - PowerPoint PPT Presentation

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Your Chart Your Chart Review Data Review Data Lara Zisblatt, MA - - PowerPoint PPT Presentation

Your Chart Your Chart Review Data Review Data Lara Zisblatt, MA Lara Zisblatt, MA Assistant Director Assistant Director Continuing Medical Education Continuing Medical Education Boston University School of Medicine Boston University


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SLIDE 1

Your Chart Your Chart Review Data Review Data

Lara Zisblatt, MA Lara Zisblatt, MA

Assistant Director Assistant Director Continuing Medical Education Continuing Medical Education Boston University School of Medicine Boston University School of Medicine

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SLIDE 2

Participation Participation

  • 243 registered for the program

243 registered for the program

  • 98 have completed the Practice

98 have completed the Practice Assessment Assessment

  • 17 have completed their baseline chart

17 have completed their baseline chart review review

  • 13 have implemented their action plans

13 have implemented their action plans and are awaiting reassessment and are awaiting reassessment

  • 1 is completing follow

1 is completing follow-

  • up chart review

up chart review

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SLIDE 3

PI Data: Gaps in Performance PI Data: Gaps in Performance

  • 49.57% (n=57) of patients had A1C

49.57% (n=57) of patients had A1C values >7% at the last visit values >7% at the last visit

  • 47.37% (n=27) of patients with

47.37% (n=27) of patients with A1C >7% did not have their therapy A1C >7% did not have their therapy intensified at the last visit intensified at the last visit

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SLIDE 4

PI Data: Gaps in Performance PI Data: Gaps in Performance (cont (cont’ ’d) d)

  • 41.74% (n=48) of patients did not

41.74% (n=48) of patients did not have self have self-

  • monitoring

monitoring fasting fasting glucose levels collected at the last glucose levels collected at the last visit visit

  • 65.22% of patients did not have

65.22% of patients did not have postprandial postprandial glucose levels glucose levels collected at the last visit collected at the last visit

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SLIDE 5

PI Data: Gaps in Performance PI Data: Gaps in Performance (cont (cont’ ’d) d)

  • 31.25% (n=5) of patients with

31.25% (n=5) of patients with A1C >9% are not currently taking A1C >9% are not currently taking more than 2 oral medications more than 2 oral medications

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SLIDE 6

Thank You! Thank You!

  • Please complete chart reviews as soon as

Please complete chart reviews as soon as possible possible

  • If you are having trouble completing the

If you are having trouble completing the chart reviews, please let us know. We can chart reviews, please let us know. We can help! help!

  • If you have any questions, please e

If you have any questions, please e-

  • mail us

mail us at at mentorqi@bu.edu mentorqi@bu.edu or call us at

  • r call us at

800.688.2475 800.688.2475

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SLIDE 7

The Ins and Outs The Ins and Outs

  • f Insulin
  • f Insulin

In Patients With In Patients With Type 2 Diabetes Type 2 Diabetes

John R. White, PA John R. White, PA-

  • C,

C, PharmD PharmD

Professor of Pharmacotherapy Professor of Pharmacotherapy Washington State University Washington State University College of Pharmacy College of Pharmacy Spokane, WA Spokane, WA

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SLIDE 8
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SLIDE 9
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SLIDE 10

Case Study Case Study

58 y.o. Native American female – Type 2 DM for 15 years Medications: – Metformin 1000 mg bid (X 5 years) – Glimepiride 8 mg q AM (X 15 years) – Combination HCTZ 12.5 mg/losartan 100 mg q AM – Atorvastatin 20 mg daily

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SLIDE 11

Case Study Case Study (cont

(cont’ ’d) d)

BP 138/88 mm Hg Height 5’3” Weight 203 lb – BMI 36 – Currently not working – cares for parents who are home-bound – Not involved in any physical activity; poor diet – Gained 8 lb in 6 months Self-monitoring blood glucose values have risen

from 130s mg/dL fasting to always >170 mg/dL over the past year

No PP BG data A1C value today is 9.2%

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SLIDE 12

ADA Standards of Care ADA Standards of Care

  • Glycemia

Glycemia: A1C <7.0%, : A1C <7.0%, FPG 90 FPG 90-

  • 130 mg/dL,

130 mg/dL, PP BG <180 mg/dL PP BG <180 mg/dL

  • Blood pressure:

Blood pressure: <130/80 mm Hg <130/80 mm Hg

  • Lipids: LDL <100 mg/dL;

Lipids: LDL <100 mg/dL; TG <150 mg/dL TG <150 mg/dL

  • Yearly:

Yearly:

– – Dilated eye exam; urinary Dilated eye exam; urinary protein; foot exam; flu shot protein; foot exam; flu shot

  • Other:

Other:

– – Aspirin usage; pneumococcal Aspirin usage; pneumococcal vaccine vaccine

AACE goals – A1C 6.5%, FPG 110 mg/dL, PP 140 mg/dL AACE goals AACE goals – – A1C A1C 6.5%, FPG 110 mg/dL, 6.5%, FPG 110 mg/dL, PP 140 mg/dL PP 140 mg/dL NCEP - LDL ≤70 mg/dL NCEP NCEP -

  • LDL

LDL ≤ ≤70 mg/dL 70 mg/dL

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SLIDE 13

*Percent risk reduction per 0.9% decrease in A1C

  • UKPDS. Lancet. 1998;352:837-853.

Lowering A1C Reduces Risk Lowering A1C Reduces Risk

  • f Complications
  • f Complications

Reduction in risk (%)*

P=.029 P=.0099 P=.052 P=.015 P=.000054

  • 10
  • 20
  • 30
  • 40
  • 50
  • 12
  • 25
  • 16
  • 34
  • 21

Any diabetes-related endpoint Microvascular endpoint MI Retinopathy Albuminuria at 12 years

United Kingdom Prospective United Kingdom Prospective Diabetes Study (UKPDS) Diabetes Study (UKPDS)

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SLIDE 14

Cost of A1C lowering Cost of A1C lowering

241.33 241.33 181.00 181.00 Gliptins Gliptins ( (sitagliptin sitagliptin 100 mg/day) 100 mg/day) 202.66 202.66 152.00 152.00 Incretin Incretin (exenatide 10 mcg bid) (exenatide 10 mcg bid) 196.00 196.00 196.00 196.00 TZD TZD ( (pio pio 45 mg/day) 45 mg/day) 105.60 105.60 132.00 132.00 Glinide Glinide ( (nateglinide nateglinide 120 mg 120 mg tid tid) ) 69.00* 69.00* 138.00 138.00 Insulin Insulin ( (glargine glargine 50 U/day) 50 U/day) 21.33 21.33 32.00 32.00 Metformin Metformin (1000 mg bid) (1000 mg bid)

9.00 9.00

14.00 14.00 SU SU ( (glimepiride glimepiride 4 mg/day) 4 mg/day)

A1C lowering cost, A1C lowering cost, $/mean $/mean-

  • lowering*

lowering* Cost per Cost per month ($)* month ($)* Intervention Intervention

Adapted from White J, Campbell RK, eds, ADA/PDR Medications for the Treatment of Diabetes, 2nd ed., In press. * Cost of supplies not included

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SLIDE 15

Reasons for Inadequate Reasons for Inadequate Diabetes Care Diabetes Care

Many diabetes drugs—generally lower A1C

1%-1.5%

Treatment inertia – “Insulin Resistance” Patient resistance – – Cost, complexity, side effects Cost, complexity, side effects – – “ “I don I don’ ’t want insulin t want insulin” ”

  • Progressive nature of disease

Progressive nature of disease

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SLIDE 16

% of Subjects % of Subjects

Percentage of subjects advancing when A1C >8% Percentage of subjects advancing when A1C >8%

Brown JB, Nichols GA, Perry A. Diabetes Care. 2004;27:1535-1540.

At insulin initiation, the average patient had: At insulin initiation, the average patient had:

  • 5 years with A1C >8%

5 years with A1C >8%

  • 10 years with A1C >7%

10 years with A1C >7%

Clinical Inertia: Failure to Clinical Inertia: Failure to Advance Therapy When Required Advance Therapy When Required

20 20 40 40 60 60 80 80 100 100

Diet Diet 66.6% 66.6% Sulfonylurea Sulfonylurea Metformin Metformin 35.3% 35.3% 44.6% 44.6% Combination Combination 18.6% 18.6%

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SLIDE 17

Advancing Therapy Advancing Therapy-

  • Considerations

Considerations

  • A1C delta needed?

A1C delta needed?

  • Patient acceptance

Patient acceptance

  • Complexity of regimen

Complexity of regimen

  • Cost

Cost

  • Side effects and secondary effects

Side effects and secondary effects

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SLIDE 18

50 100 150 200 250

  • 10
  • 5

5 10 15 20 25 30 50 100 150 200 250 300 350

Years of Diabetes

Insulin Resistance Insulin Level Fasting Glucose

α-cell failure

Post-Meal Glucose

Adapted from RM. Bergenstal, International Diabetes Center

Glucose Relative Insulin Function

The Stages of Type 2 The Stages of Type 2 Diabetes Diabetes

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SLIDE 19

Approach to Combination Therapy Approach to Combination Therapy

Intensifying Therapy

metformin or glitazone + sulfonylurea/glinide

  • r glucosidase inh

sulfonylurea/glinide + metformin or glitazone Continue

FPG <130 mg/dL A1C < 7% FPG >130 mg/dL A1C >7%

AGI, DPP-IV inhib, Exenatide, Pramlintide, Insulin

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SLIDE 20

Failing Sulfonylurea Failing Sulfonylurea and and Metformin Metformin, Add , Add Troglitazone Troglitazone

14% Reached target A1C <7% 43% Reached target A1C <8%

  • 1.3%

A1C reduction from baseline 9.7% Baseline A1C >8.5% 16 clinics in Canada, 200 patients A1C

Yale JF, et al. Ann Intern Med. 2001;134:737-745.

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SLIDE 21

Over time, Over time, most patients will most patients will need insulin need insulin to control glucose to control glucose

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SLIDE 22

Insulin Therapy in Type 2 Diabetes Insulin Therapy in Type 2 Diabetes

More than half of patients with type 2 diabetes

require insulin to reach A1C goal <7%

Insulin doses are usually higher in patients with

type 2 diabetes (~1.2 U/kg) than in type 1 patients

Increasing use of insulin earlier in course of therapy

for type 2 patients

Individualize insulin therapy for each patient: – Oral medications(s) + qd insulin or – Intensive insulin +/- other anti-hyperglycemic medications

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SLIDE 23

Key Decision Points for Key Decision Points for Insulin Therapy in Type 2 Diabetes Insulin Therapy in Type 2 Diabetes

When to start insulin vs adding more

  • ral agents

– Exenatide and sitagliptin

What insulin program to start with:

– Once-daily NPH, glargine, or detemir – Twice-daily pre-mixed

How to start insulin and optimize dosing Continue or discontinue oral agents when

insulin is started?

When to proceed to mealtime insulin

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SLIDE 24

Advantages of Insulin + Oral Agent Advantages of Insulin + Oral Agent vs vs Switching to Insulin Alone Switching to Insulin Alone

Combination therapy reduces dose of insulin

required

– SU: 21%-38% decrease – Metformin: 19%-32% decrease – Metformin + SU: 62% reduction

Glucose control will not deteriorate during the

transition to insulin

Patient learns practical skills needed before

switching to insulin-only regimen

Simple insulin regimens improve patient

compliance

Yki-Jarvinen H. Diabetes Metab Res Rev. 2002;18:S77-S81. Marre M. Int J Obesity. 2002;26:S25-S30.

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SLIDE 25

The Basal/Bolus Insulin Concept The Basal/Bolus Insulin Concept

Basal insulin – Suppresses glucose production between meals and

  • vernight

– 40% to 50% of daily needs Bolus insulin (mealtime) – Limits hyperglycemia after meals – Immediate rise and sharp peak at 1 hour – 10% to 20% of total daily insulin requirement at each meal

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SLIDE 26

4:00 4:00 25 25 50 50 75 75 8:00 8:00 12:00 12:00 16:00 16:00 20:00 20:00 24:00 24:00 4:00 4:00

Breakfast Breakfast Lunch Lunch Dinner Dinner Plasma insulin ( Plasma insulin (µU/ U/mL mL) ) Time Time

8:00 8:00

Physiologic Serum Insulin Physiologic Serum Insulin Secretion Profile Secretion Profile

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SLIDE 27

Profiles: Human Insulin and Analogues Profiles: Human Insulin and Analogues

Plasma insulin levels Hours NPH Glargine Regular Aspart, Lispro, Glulisine Detemir

2 4 6 8 10 12 16 18 20 22 24 14

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SLIDE 28

Tactics for Type 2 Diabetes: Tactics for Type 2 Diabetes: Starting Basal Insulin Starting Basal Insulin

Add single, evening insulin dose

– NPH or detemir (bedtime) – 70/30 (evening meal) – Glargine (bedtime or anytime?)

Dose: 10 units or 10% patient weight in lb

(200 lb=20 units) or 0.15 units per kg

Adjust dose by FBG Increase insulin dose weekly as needed

– Increase by 2 units or 10%-20% if FBG >140 mg/dL

Treat to target (usually <120 mg/dL)

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SLIDE 29

Advancing Basal/Bolus Insulin Advancing Basal/Bolus Insulin

Indicated when FBG is acceptable but – A1C >7% or >6.5% and/or – SMBG before dinner >140 mg/dL Insulin options – To glargine, detemir, or NPH, add mealtime aspart/lispro – To suppertime 70/30, add morning 70/30 Oral agent options – Usually d/c SU or glinides if bolus insulin is added – Continue TZD or metformin?

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SLIDE 30

Combination Oral Agents + Glargine or NPH at bedtime Combination Oral Agents + Glargine or NPH at bedtime

Target FPG: Target FPG: < <100 mg/dL 100 mg/dL Type 2 DM: 756 patients aged 55, BMI 32, A1C Type 2 DM: 756 patients aged 55, BMI 32, A1C 8.6% 8.6% 24 wk of treatment 24 wk of treatment forced titration forced titration Continue OAD + NPH at Continue OAD + NPH at hs hs Continue OAD + glargine at Continue OAD + glargine at hs hs OAD failures OAD failures A1C A1C: 7.5% : 7.5%-

  • 10%

10%

Riddle MC, et al. Diabetes Care. 2003;26:3080-3086.

Treat Treat-

  • to

to-

  • Target Trial

Target Trial

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SLIDE 31

FBS = fasting blood sugar

Protocol Protocol

Start 10 units glargine or NPH at bedtime Forced titration schedule done by weekly

phone calls with study coordinators

Daily FBS - adjust weekly to <100 mg/dL – – > >180 mg/dL - ↑ 8 units – >160 mg/dL - ↑ 6 units – >140 mg/dL - ↑ 4 units – >120 mg/dL - ↑ 0-2 units

Riddle MC, et al. Diabetes Care. 2003;26:3080-3086.

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SLIDE 32

Riddle MC, et al. Diabetes Care. 2003;26:3080-3086.

100 150 200 4 8 12 16 20 24

Weeks of Treatment FBG (mg/dL)

Glargine NPH

6 6.5 7 7.5 8 8.5 9 4 8 12 16 20 24

Weeks of Treatment A1C (%)

Glargine NPH

Treat Treat-

  • to

to-

  • Target Trial:

Target Trial: Efficacy Results Efficacy Results

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SLIDE 33

Symptomatic Symptomatic Hypoglycemia Hypoglycemia by Time of Day by Time of Day

Hypoglycemia Hypoglycemia Episodes (no.) Episodes (no.) (PG (PG ≤ ≤72 mg/dL) 72 mg/dL)

Insulin glargine Insulin glargine NPH insulin NPH insulin 50 50 100 100 150 150 200 200 250 250 300 300 350 350 20 20 22 22 24 24 2 2 4 4 6 6 8 8 10 10 12 12 14 14 16 16 18 18

Time of Day (h) Time of Day (h)

* * * * * * * * * * * *

B L D B L D

Basal Basal insulin insulin

20 20

Treat Treat-

  • to

to-

  • Target Trial: Timing and

Target Trial: Timing and Frequency of Nocturnal Hypoglycemia Frequency of Nocturnal Hypoglycemia

Riddle MC, et al. Diabetes Care. 2003;26:3080-3086.

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SLIDE 34

* *All reported events, including symptoms only.

All reported events, including symptoms only.

Hermansen K, et al. Diabetes Care. 2006;29:1269-1274.

10.0 10.0 9.0 9.0 8.0 8.0 7.0 7.0 6.0 6.0

  • 2

2 0 4 4 8 8 12 12 16 16 20 20 24 24 Detemir Detemir NPH NPH A1C (%) A1C (%)

Study Week Study Week

Hypoglycemic Events* Hypoglycemic Events* 2 2 4 4 8 8 12 12 16 16 20 20 24 24

Study Week Study Week

400 400 350 350 300 300 250 250 200 200 150 150 100 100 50 50 Detemir Detemir NPH NPH

Detemir Detemir vs vs NPH Insulin NPH Insulin in T2DM (n=476) in T2DM (n=476)

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SLIDE 35

Return to Case: Return to Case: 58 58-

  • Year

Year-

  • Old Native American Female

Old Native American Female

Currently treated with metformin/glimepiride A1C 9.2% FBG >170 mg/dL BMI 36 Physically inactive

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SLIDE 36

Case: Case: 58 58-

  • Year

Year-

  • Old Native American Female

Old Native American Female

10 units glargine added to her OHA;

instructed to adjust daily by 2 units every 3 days until FBG <120 mg/dL

Comes back six weeks later taking 32 units Reports that her FBG is 130-140 mg/dL

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SLIDE 37

Raccah D, et al. Diabet Metab Res Rev. 2007;23:257-264.

Diet and Diet and exercise exercise OHA mono OHA mono-

  • r
  • r

combination combination therapy therapy Basal Basal insulin insulin

  • nce daily
  • nce daily

(optimized) (optimized) Basal Plus Basal Plus 1 1 prandial prandial for largest for largest glucose glucose excursion excursion Basal Plus Basal Plus 2 2 prandial prandial for largest for largest glucose glucose excursions excursions Basal Basal— —Bolus Bolus Basal Basal + 3x + 3x prandial prandial

A1C A1C uncontrolled uncontrolled A1C A1C uncontrolled, FBG on target uncontrolled, FBG on target PPBG >8.8 PPBG >8.8 mmol mmol/L (>160 mg/dL) /L (>160 mg/dL)

Time Time

Stepped Insulin Therapy Stepped Insulin Therapy – – Basal Plus Concept Basal Plus Concept

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SLIDE 38

Summary Summary

Be aggressive:

– Follow standards of care – Making frequent adjustments in therapy is the norm – this is a progressive disease

Use insulin in patients who need it Start basal insulin (once daily) along with the

patient’s OHAs

– Use enough insulin—FPG <110-120 mg/dL – Be enthusiastic and positive when discussing with patient

Add mealtime analogue insulin if A1C is not at

goal

– Start with largest meal—try starting with 4 units

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SLIDE 39

Practice Practice-

  • Based Improvements

Based Improvements

Working Toward Working Toward Glycemic Glycemic Control Control Elaine Fleck, MD Elaine Fleck, MD

Associate Clinical Professor of Medicine Associate Clinical Professor of Medicine Department of Internal Medicine Department of Internal Medicine New York Presbyterian Hospital New York Presbyterian Hospital-

  • Columbia University Medical Center

Columbia University Medical Center New York, NY New York, NY

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SLIDE 40

Improving Care Improving Care

  • What gaps do you see between care as it is and care

What gaps do you see between care as it is and care as it as it could and should be could and should be for patients? for patients?

  • Identify goals that you would like to accomplish over

Identify goals that you would like to accomplish over the next 2 weeks to 3 months the next 2 weeks to 3 months

  • Understand and implement techniques that can

Understand and implement techniques that can change the nature of care delivery in your practice change the nature of care delivery in your practice

  • How can you plan, do, study, and act?

How can you plan, do, study, and act?

Institute for Healthcare Improvement. Available at: http://www.ihi.org/IHI/Topics/ChronicConditions/AllConditions/Changes/. Accessed September 29, 2008.

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SLIDE 41

Fundamental Questions Fundamental Questions for Improvement for Improvement

  • What are we trying to accomplish?

What are we trying to accomplish?

  • How will we know that a change is an

How will we know that a change is an improvement? improvement?

  • What changes can we make that will result in

What changes can we make that will result in improvement? improvement?

Institute for Healthcare Improvement. Available at: http://www.ihi.org/IHI/Topics/ChronicConditions/AllConditions/Changes/. Accessed September 29, 2008.

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SLIDE 42

The PDSA Cycle for Learning and Improvement

Act

  • What changes

are to be made?

  • Next cycle?

Plan

  • Objective
  • Questions and

predictions (why)

  • Plan to carry out

the cycle (who, what, where, when)

  • Plan for data collection

Study

  • Complete the

analysis of the data

  • Compare data to

predictions

  • Summarize what

was learned

Do

  • Carry out the plan
  • Document problems

and unexpected

  • bservations
  • Begin analysis
  • f the data
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SLIDE 43

A PDSA Cycle

Will encounter forms facilitate severity classification?

  • Dr. X will try form with

severity class Qs with 3 patients on Thurs

  • Dr. X tried with two
  • patients. Couldn’t find

a form for third patient.

  • Dr. X found the form

helpful for prompting; thought items on form should be in a different order. Need better process for getting form to provider. Revise form. Try new form with 3 patients tomorrow; MA will put form on chart.

Objective: Test the use of encounter forms to facilitate visit

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SLIDE 44

Practice Improvements Practice Improvements Using Evidence Using Evidence-

  • Based Medicine

Based Medicine

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SLIDE 45

Treat Treat-

  • to

to-

  • Target Trial

Target Trial

  • Randomize addition of glargine or human NPH

insulin to oral therapy of type 2 patients with diabetes

  • Titration using simple algorithm to target fasting

plasma glucose

  • Forced weekly titration schedule for target FPG ≤100
  • Results showed:

– 60% of patients reached A1C ≤7 independent of insulin type – Less nocturnal hypoglycemia with glargine

Riddle MC, et al. Diabetes Care. 2003;26:3080-3086.

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SLIDE 46

GOAL A1C Trial GOAL A1C Trial

Examined the influence of “active” titration of

insulin glargine using a simple algorithm

Use of office-based POC A1C testing vs laboratory

A1C testing on glycemic control

Secondary goal: could this be implemented in

a primary-care setting?

Kennedy L, et al. Diabetes Care. 2006;29:1-8.

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SLIDE 47

GOAL A1C Trial: Results GOAL A1C Trial: Results

Percentage of patients with A1C >7.0% at week 24 Percentage of patients with A1C >7.0% at week 24 in each treatment arm, stratified by baseline A1C in each treatment arm, stratified by baseline A1C

Kennedy L, et al. Diabetes Care. 2006;29:1-8.

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SLIDE 48

Goal A1C Trial: Lessons Learned Goal A1C Trial: Lessons Learned

  • With minimal instruction, patients were able to follow

With minimal instruction, patients were able to follow insulin dose titration algorithm and achieve insulin dose titration algorithm and achieve significant A1C reductions, regardless of intensity of significant A1C reductions, regardless of intensity of titration monitoring titration monitoring

  • POC A1C testing results in greater proportion of

POC A1C testing results in greater proportion of patients at goal A1C (<7) patients at goal A1C (<7)

  • Use of less aggressive insulin algorithm still results

Use of less aggressive insulin algorithm still results in better glycemic control in better glycemic control

  • Primary

Primary-

  • care clinical practices can adopt algorithmic

care clinical practices can adopt algorithmic care when instituting insulin care when instituting insulin

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SLIDE 49

Change Ideas Change Ideas vs vs Specific PDSA Changes Specific PDSA Changes

Vague, strategic, Vague, strategic, creative creative Specific, actionable, Specific, actionable, results results

Improve glycemic control in Improve glycemic control in patients patients with diabetes with diabetes Adopt basal insulin algorithm for Adopt basal insulin algorithm for primary primary-

  • care practice

care practice Educate team members in use of Educate team members in use of algorithm algorithm Provider to identify 3 patients with Provider to identify 3 patients with A1C >7.5 for > 3 months to initiate A1C >7.5 for > 3 months to initiate insulin using algorithm insulin using algorithm Revise and expand to use algorithm Revise and expand to use algorithm with 3 other providers with 3 other providers A P S D

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SLIDE 50

Adopting a Basal Insulin Algorithm: Adopting a Basal Insulin Algorithm: Why? Why?

  • Extremely helpful for sites with multiple providers

Extremely helpful for sites with multiple providers and house staff and house staff

  • Concrete guidelines decrease clinical inertia

Concrete guidelines decrease clinical inertia

− Using evidence-based guidelines increases “buy-in” − “Stealing” ideas makes this easier to create

  • Sensitive to patients

Sensitive to patients’ ’ health literacy needs health literacy needs

  • Other team members incorporated into care

Other team members incorporated into care

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SLIDE 51

Initiation and Adjustment Initiation and Adjustment

  • f Basal Insulin Regimens
  • f Basal Insulin Regimens
  • Start with bedtime long-acting insulin at 10 U or 0.15 U/kg

– Glargine or – Detemir or – NPH

  • When switching from daily or BID NPH to glargine and detemir,

consider 20% reduction in initial insulin dose

  • If patient is on oral medications, consider the following:

– Consider decreasing sulfonylurea by 25% – Metformin dose does not need to be adjusted when starting insulin – Reduce thiazolidinedione dose when starting basal insulin due to risk for weight gain and fluid retention

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SLIDE 52

Initiation and Adjustment Initiation and Adjustment

  • f Basal Insulin Regimens
  • f Basal Insulin Regimens (cont

(cont’ ’d) d)

  • Check fasting AM blood glucose daily for 1 week

– Goal: 80-130 at least 3 times/week without symptoms of hypoglycemia – If ≥3 readings are: <70: Call provider 130-160: Increase by 2 U 70-80: Decrease by 4 U 161-199: Increase by 4 U 81-129: No change ≥200: Increase by 6 U

  • Continue to check fasting glucose daily and adjust weekly to

meet goal

  • Check A1C at 3 months if not at goal

Riddle MC, et al. Diabetes Care. 2003;26:3080-3086.

slide-53
SLIDE 53

Change Ideas Change Ideas vs vs Specific PDSA Changes Specific PDSA Changes

Vague, strategic, Vague, strategic, creative creative Specific, actionable, Specific, actionable, results results

Improve glycemic control in Improve glycemic control in patients patients with diabetes with diabetes Adopt basal insulin algorithm for Adopt basal insulin algorithm for primary primary-

  • care practice

care practice Educate team members in use of Educate team members in use of algorithm algorithm Provider to identify 3 patients with Provider to identify 3 patients with A1C >7.5 for > 3 months to initiate A1C >7.5 for > 3 months to initiate insulin using algorithm insulin using algorithm Revise and expand to use algorithm Revise and expand to use algorithm with 3 other providers with 3 other providers A P S D

slide-54
SLIDE 54

Improve glycemic control in patients Improve glycemic control in patients with diabetes with diabetes Adopt basal insulin algorithm for Adopt basal insulin algorithm for primary primary-

  • care practice

care practice Educate team members in use of Educate team members in use of algorithm algorithm Provider to identify 3 patients with Provider to identify 3 patients with A1C >7.5 for >3 months to initiate A1C >7.5 for >3 months to initiate insulin using algorithm insulin using algorithm Revise and expand to use algorithm Revise and expand to use algorithm with 3 other providers with 3 other providers

Vague, strategic, Vague, strategic, creative creative Specific, actionable, Specific, actionable, results results

Change Ideas Change Ideas vs vs Specific PDSA Changes Specific PDSA Changes

A P S D

slide-55
SLIDE 55

Repeated Use of the PDSA Cycle Repeated Use of the PDSA Cycle

Hunches, Theories, Ideas Changes That Result in Improvement

A P S D A P S D

A P S D

D S P A

DATA

Very Small Scale Test Follow-up Tests Wide-Scale Tests

  • f Change

Implementation

  • f Change

What are we trying to accomplish? How will we know that a change is an improvement? What change can we make that will result in improvement?

Model for Improvement

Improve glycemic control Reduced A1C Adopt algorithm

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SLIDE 56

Multiple Cycles to Test Multiple Cycles to Test and Implement Components and Implement Components

Can we institute algorithm for insulin in primary-care practice?

Use of algorithm by all providers/team A P S D

A P S D A P S D D S P A

Learning

D S P A Cycle 1: One provider to identify 3 patients with One provider to identify 3 patients with A1C > 7.5 for >3 months and initiate insulin using A1C > 7.5 for >3 months and initiate insulin using algorithm algorithm

.

Cycle 2: Additional team member to explain Additional team member to explain how to start insulin with plan to call patient in how to start insulin with plan to call patient in

  • ne week
  • ne week

Cycle 3: Revise and try using two Revise and try using two providers and expand team providers and expand team Cycle 4: Trial by all providers Trial by all providers and team and team Cycle 5: Review data Review data and peer feedback and peer feedback

slide-57
SLIDE 57

Tips for Success Tips for Success

  • Improvement occurs in small steps

Improvement occurs in small steps

  • Repeated attempts needed to implement new ideas

Repeated attempts needed to implement new ideas

  • Assess regularly, measure results to improve plan

Assess regularly, measure results to improve plan

  • Failed changes = learning opportunities

Failed changes = learning opportunities

  • Plan communication

Plan communication

  • Engage leadership support

Engage leadership support

slide-58
SLIDE 58

“Negative results on the fish…Let’s try rubbing two sticks together.”

slide-59
SLIDE 59

Additional Resources for Additional Resources for Practice Improvement Practice Improvement

  • Group classes

Group classes

  • Conversation mapping

Conversation mapping

– – http:// http://www.healthyi.com/hcp/diabetes/Default.aspx www.healthyi.com/hcp/diabetes/Default.aspx

  • Nurse case management in underinsured

Nurse case management in underinsured

– Philis-Tsimikas A, et al. Diabetes Care. 2004;27:110-115.

  • POC testing

POC testing

  • Self

Self-

  • management education

management education

– – Sone Sone H, et al. H, et al. Diabetes Care Diabetes Care. 2002;25:2115 . 2002;25:2115-

  • 2116.

2116.

  • Nurse

Nurse-

  • directed diabetes care

directed diabetes care

– – Davidson MB. Davidson MB. Diabetes Care Diabetes Care. . 2003;26:2281 2003;26:2281-

  • 2287

2287. .

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SLIDE 60

Q&A Q&A