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. Author manuscript; available in PMC: 2024 Aug 1.
Published in final edited form as: Am J Prev Med. 2023 Feb 28;65(2):221–229. doi: 10.1016/j.amepre.2023.02.009

Table 2.

Difference-in-differences in number of new treatments (DMFTnew) and surfaces (DMFSnew) after Philadelphia beverage tax implementation

Pre-tax Mean (SD)a Post-tax Mean (SD)a
Outcome Philadelphia Control Philadelphia Control Difference-in-differences (95% CI)b
Older children/adults
 DMFTnew
  Panel 0.51 (1.15) 0.49 (1.14) 0.28 (0.79) 0.31 (0.93) −0.02 (−0.08, 0.03)
  Cross-section 0.62 (1.40) 0.64 (1.48) 0.46 (1.20) 0.55 (1.45) −0.05 (−0.11, 0.01)
  Cross-section, ever-Medicaid 0.87 (1.86) 0.77 (1.71) 0.65 (1.48) 0.72 (1.76) −0.18 (−0.34, −0.03)
  Cross-section, never-Medicaid 0.56 (1.26) 0.62 (1.43) 0.40 (1.08) 0.49 (1.33) −0.02 (−0.08, 0.03)
 DMFSnew
  Panel 1.35 (3.46) 1.35 (3.29) 0.91 (2.72) 1.03 (3.44) −0.06 (−0.29, 0.17)
  Cross-section 1.76 (4.66) 1.91 (5.16) 1.38 (4.13) 1.73 (5.26) −0.11 (−0.37, 0.14)
  Cross-section, ever-Medicaid 2.69 (6.86) 2.46 (6.30) 2.02 (5.34) 2.36 (6.91) −0.64 (−1.27, −0.01)
  Cross-section, never-Medicaid 1.54 (3.93) 1.79 (4.90) 1.16 (3.60) 1.53 (4.66) 0.00 (−0.23, 0.22)
Younger children
 DMFTnew
  Panel 0.49 (1.39) 0.52 (1.56) 0.32 (0.94) 0.31 (0.93) 0.07 (−0.08, 0.23)
  Cross-section 0.56 (1.53) 0.76 (1.99) 0.41 (1.20) 0.77 (2.21) −0.16 (−0.33, 0.02)
  Cross-section, ever-Medicaid 0.66 (1.64) 0.89 (2.15) 0.49 (1.29) 0.94 (2.45) −0.22 (−0.46, 0.01)
  Cross-section, never-Medicaid 0.42 (1.36) 0.63 (1.82) 0.27 (1.01) 0.49 (1.62) 0.04 (−0.15, 0.22)
 DMFSnew
  Panel 1.48 (5.08) 1.63 (6.02) 0.99 (3.44) 0.94 (3.45) 0.43 (−0.22, 1.09)
  Cross-section 1.66 (5.69) 2.57 (7.91) 1.31 (4.55) 2.91 (9.43) −0.70 (−1.49, 0.09)
  Cross-section, ever-Medicaid 1.96 (5.99) 3.04 (8.56) 1.56 (4.92) 3.66 (10.65) −1.03 (−2.05, −0.01)
  Cross-section, never-Medicaid 1.23 (5.25) 2.10 (7.16) 0.88 (3.85) 1.68 (6.52) 0.30 (−0.59, 1.18)

Note: Boldface indicates statistical significance (p<0.05).

a

Weighted by inverse probability of treatment weights.

b

Difference-in-differences models were fit with generalized estimating equations weighted by inverse probability of treatment weights with variables for group (Philadelphia=1, control=0), period (pre-tax=0, post-tax=1), and a group

*

period interaction, which estimated the difference-in-differences.