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Panel 6: STRATEGIES TO IMPROVE THE USE OF VTE PROPHYLAXIS

Surgeon General's Workshop on Deep Vein Thrombosis

1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12

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 SLIDE 1: STRATEGIES TO IMPROVE THE USE OF VTE PROPHYLAXIS

Samuel Z. Goldhaber, MD
Cardiovascular Division
Brigham and Women’s Hospital
Professor of Medicine
Harvard Medical School
May 9, 2006

 

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 SLIDE 2: CHANGING MD BEHAVIOR

  • Guidelines alone do not suffice
  • Strategies for change
    • Surgeon General’s DVT Workshop
    • Physician champions
    • Registries
    • Coalitions (Coalition to Prevent DVT)
    • Litigation
    • Electronic alerts

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 SLIDE 3: QUALITY IMPROVEMENT INITIATIVE TO IMPROVE CLINICAL PRACTICE

  • Randomized controlled trial to issue or withhold electronic alerts to MDs whose high-risk patients were not receiving DVT prophylaxis

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 SLIDE 4: COMPUTER PROGRAM

  • We developed a computer program linked to the patient database that screened the system daily to identify high-risk patients.
  • We included consecutive high-risk patients on medical and surgical services who were not receiving DVT prophylaxis.

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 SLIDE 5: DEFINITION: “HIGH RISK”

VTE risk score > points:

  • Cancer 3 (ICD codes)
  • Prior VTE 3 (ICD codes)
  • Hypercoagulability 3 (Leiden, ACLA)
  • Major surgery 2 (> 60 minutes)
  • Bed rest 1 (“bed rest” order)
  • Advanced age 1 (> 70 years)
  • Obesity 1 (BMI > 29 kg/m2)
  • HRT/OC 1 (order entry)

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 SLIDE 6: RANDOMIZATION
 

VTE risk score > 4 No prophylaxis N = 2506

with arrows pointing to:

  • INTERVENTION Single alert n = 1255
  • CONTROL No alert n = 1251

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 SLIDE 7: ALERT MESSAGE

Screen shot of an alert indicating patient is at high risk for deep vein thrombosis, according to the BWH guidelines.

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 SLIDE 8: BASELINE CHARACTERISTICS
 

  • Median age: 62.5 years
  • Medical services: 83%
  • Surgical services: 17%
  • Comorbidities
    • Cancer: 80%
    • Hypertension: 34%
    • Infection: 30%
    • Prior VTE: 20%

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 SLIDE 9: ORDERS: DVT PROPHYLAXIS

 
Intervention
n = 1255
Control
n = 1251
 
P value
Overall
421 (33.5)
182 (14.5)
< 0.001
Mechanical
125 (10.0)
19 (1.5)
< 0.001
GCS
52 (4.1)
7 (0.6)
< 0.001
IPC
73 (5.8)
12 (1.0)
< 0.001
Pharmacologic
296 (23.6)
163 (13.0)
< 0.001
Heparin
213 (17.0)
81 (6.5)
< 0.001
Warfarin
28 (2.2)
41 (3.3)
0.11
Enoxaparin
55 (4.4)
41 (3.3)
0.18
(Kucher N, et al. NEJM 2005;352:969-977)

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 SLIDE 10: PRIMARY END POINT: 90 DAYS

 Intervention
(n = 1255)
 
Control
(n = 1251)
Hazard ratio
(95% CI)
P
Total VTE61 (4.9)103 (8.2)0.59 (0.43–0.81)0.001
Acute PE14 (1.1)35 (2.8)0.40 (0.21–0.74)0.004
Prox. DVT10 (0.8)23 (1.8)0.47 (0.20–1.09)0.08
Distal DVT5 (0.4)12 (1.0)
0.42 (0.15–1.18)
0.10
UE DVT32 (2.5)33 (2.6)0.97 (0.60–1.58)0.90

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 SLIDE 11: PRIMARY END POINT
 

Line chart showing intervention and control primary end points. The primary end point of symptomatic and imaging-confirmed DVT or pulmonary embolism occurred in 61 intervention-group and 103 control-group patients. At 90 days, the intervention strategy reduced the risk of DVT or pulmonary embolism by 41%

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 SLIDE 12: RISK SCORE AND PROPHYLAXIS

 
Present Cohort n(%)
Historical Intervention n(%)
p
Patients at risk of VTE with alert sent411 (7%)1255 (18%)p <0.001
Services
Medical330 (80)1038 (82)p=0.30
Surgical81 (19)217 (17)p=0.30
Cumulative Risk Score
4266 (64)792 (63)p=0.60
5101 (24)327 (26)p=0.60
637 (9)110 (9)p=0.96
77 (1)22 (2)p=0.88
80 (0)4 (0.3)p=0.57
Prophylaxis Prescribed166 (40%)421 (34%)p=0.01

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 SLIDE 13: VTE PROPHYLAXIS: THE FUTURE

  1. Can a 3-screen alert improve physician response (34% in RCT and 40% in cohort)?
  2. Should we use an “opt in” vs. “opt out” strategy for alerts?
  3. Can human alerts function as well or better than electronic alerts?

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