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Table 2 Impact of interventions to increase medicine use

From: Bridging evidence-practice gaps: improving use of medicines in elderly Australian veterans

Intervention number and topic (number of veterans targeted) Targeted therapy Proportion of veterans on targeted therapy at baseline (%) 24 month pre-intervention trend Intervention effect (%) 20 month post intervention trend Estimated number with changed behaviour from intervention; sustained over two years post intervention
2: Beta-blockers, take the next step for heart failure (n = 12047) Increase beta-blocker use 8.7% Trend increasing 1.7% per month 7% (p < 0.0001) Trend still increasing but reduced to 0.6% per month (p < 0.0001) 642
3: Diabetes triple check (n = 16612) Increase ACE inhibitor use 61.3% Trend increasing 0.3% per month 1.3% (p < 0.0001) Trend still increasing but reduced to 0.1% per month (p < 0.0001) 543
Increase lipid lowering therapy use 47.9% Trend increasing 0.6% per month 1.9% (p < 0.0001) Trend still increasing but reduced to 0.5% per month (p = 0.015) 1573
Increase antiplatelet use 41.9% Trend increasing 0.4% per month 3% (p < 0.0001) Trend still increasing but reduced to 0.1% per month (p < 0. 0.0001) 543
15: Osteoporosis (n = 83110) Increase use in women 9.1% Trend increasing 1.1% per month 2.8% (p < 0.004) Trend still increasing but reduced to 0.4% per month (p < 0.0001) 712
Increase use in men 4.7% Trend increasing 1.5% per month 8.3% (p < 0.0001) Trend still increasing but reduced to 0.2% per month (p < 0.0001) 2522
  1. ACE inhibitor, angiotensin converting enzyme inhibitor.