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. 2023 Nov;29(11):1175–1183. doi: 10.18553/jmcp.2023.29.11.1175

TABLE 3.

Impact of the VBF-e on Medication Use PMPM 1 Year After VBF-e Implementation

Medication use (days supply of medication) With VBF-e (95% CI) Without VBF-ea (95% CI) Estimated change (95% CI)
Overall 26.4 (25.6 to 27.3) 27.4 (26.3 to 28.6) −1.0 (−1.8 to −0.2)
By value-based tier
  1 22.1 (21.4 to 22.9) 22.5 (21.5 to 23.4) −0.3 (−1.0 to 0.3)
  2 1.9 (1.8 to 2.1) 1.9 (1.7 to 2.2) 0.0 (−0.2 to 0.2)
  3 0.1 (0.1 to 0.2) 0.1 (0.0 to 0.1) 0.1 (0.0 to 0.1)c
  4 1.6 (1.5 to 1.8) 2.0 (1.8 to 2.2) −0.3 (−0.5 to −0.1)
  Excludedb 0.1 (0.1 to 0.1) 0.5 (0.4 to 0.6) −0.4 (−0.5 to −0.4)
By change in tier
  Moved into lower tier 0.3 (0.3 to 0.4) 0.4 (0.3 to 0.5) 0.0 (−0.1 to 0.1)
  No change in tier 23.9 (23.1 to 24.7) 24.1 (23.1 to 25.2) −0.2 (−0.9 to 0.5)
  Moved into higher tier 1.7 (1.6 to 1.8) 2.4 (2.2 to 2.6) −0.7 (−0.9 to −0.5)

a The “Without VBF-e” column presents estimates of adjusted mean estimate of the predicted medication use outcome in the exposure group in the post period had VBF-e not been implemented (ie, counterfactual estimate). For example, the 2.4 (2.2 to 2.6) estimate in the “Without VBF-e” column represents the predicted days supply for drugs that were moved into a higher tier in the VBF-e if those same drugs had not actually been moved into a higher tier.

b Members could be granted access to excluded drugs based on an appeals process, therefore use of excluded drugs “with VBF-e” is greater than 0.

c 95% CI crosses 0.

PMPM = per member per month; VBF-e = Value-Based Formulary-essentials.