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. 2024 Feb 15;30(4):1191–1198. doi: 10.1038/s41591-024-02834-w

Table 2.

Rate of effectiveness and safety according to the characteristics of the sample, derived from complete case and multiple imputation analyses

Characteristics Effectiveness Safety
Unadjusted complete case rate Adjusted imputed rate Unadjusted complete case rate Adjusted imputed rate
n = 4,454 P n = 6,034 P n = 4,454 P n = 6,034 P
% (95% CI) % (95% CI) % (95% CI) % (95% CI)
Overall 97.7 (97.2–98.1) 97.7 (97.2–98.1) 99.7 (99.5–99.8) 99.8 (99.6–99.9)
Asynchronous care
 Synchronous (ref) 98.3 (97.6–99.0) Ref 98.3 (97.7–99.0) Ref 99.7 (99.4–100.0) Ref 99.8 (99.5–100.0) Ref
 Asynchronous 97.4 (96.8–98.0) 0.062 97.4 (96.9–98.0) 0.071 99.6 (99.4–99.9) 0.668 99.7 (99.6–99.9) 0.926
Patient age at abortion intake
 16–19 years (ref)a 98.5 (96.7–100.0) Ref 98.4 (96.7–100.0) Ref 99.5 (98.5–100.0) Ref 99.6 (98.9–100.0) Ref
 16–17 years 100.0 (100.0–100.0) 100.0 (100.0–100.0)
 18–19 years 98.2 (96.3–100.0) 99.4 (98.3–100.0)
 20–24 years 98.2 (97.3–99.0) 0.780 98.1 (97.2–99.0) 0.789 99.6 (99.1–100.0) 0.876 99.7 (99.3–100.0) 0.932
 25–29 years 97.4 (96.5–98.3) 0.382 97.5 (96.6–98.3) 0.408 99.7 (99.4–100.0) 0.575 99.8 (99.6–100.0) 0.604
 30–34 years 97.4 (96.4–98.3) 0.370 97.4 (96.5–98.3) 0.398 99.7 (99.3–100.0) 0.711 99.7 (99.5–100.0) 0.745
 >34 years 97.8 (96.9–98.7) 0.569 97.7 (96.7–98.6) 0.534 99.7 (99.4–100.0) 0.608 99.8 (99.6–100.0) 0.627
Race, ethnicity or ethnic grouping
 American Indian, Alaska Native, Middle Eastern, North African or Multiracialb 97.3 (95.6–98.9) 0.932 97.8 (96.6–99.0) 0.733 99.0 (97.5–100.0) 0.413 99.7 (99.3–100.0) 0.474
 Asian, Native Hawaiian or Pacific Islander 97.4 (95.1–99.6) 0.89 97.9 (96.2–99.5) 0.716 99.9 (99.7–100.0) 0.108 99.5 (98.8–100.0) 0.185
 Black or African American 96.3 (94.1–98.4) 0.37 97.1 (95.5–98.7) 0.590 98.6 (97.3–100.0) 0.017 99.3 (98.7–100.0) 0.037
 Hispanic or Latinx 99.0 (97.8–100.0) 0.089 98.7 (97.5–100.0) 0.206 100.0 (100.0–100.0) N/A 100.0 (100.0–100.0) N/A
 White (ref) 97.2 (96.5–98.0) Ref 97.6 (97.0–98.2) Ref 99.7 (99.5–100.0) Ref 99.8 (99.7–100.0) Ref
Urbanicity
 Suburban or rural (ref) 97.5 (96.0–99.0) Ref 97.4 (95.9–98.9) Ref 99.8 (99.3–100.0) Ref 99.8 (99.5–100.0) Ref
 Urban 97.7 (97.2–98.2) 0.777 97.7 (97.2–98.2) 0.728 99.7 (99.5–99.8) 0.68 99.7 (99.6–99.9) 0.674
Previous abortion
 No previous abortion (ref) 97.8 (97.2–98.4) Ref 97.9 (97.3–98.4) Ref 99.7 (99.5–99.9) Ref 99.8 (99.7–99.9) Ref
 One or more previous abortions 96.9 (95.9–97.9) 0.140 97.3 (96.4–98.1) 0.247 99.4 (98.9–99.8) 0.204 99.6 (99.4–99.9) 0.188
Previous births
 No previous birth (ref) 97.6 (96.9–98.3) Ref 97.6 (96.9–98.3) Ref 99.5 (99.2–99.9) Ref 99.7 (99.5–99.9) Ref
 One or more previous births 97.8 (97.1–98.6) 0.671 97.8 (97.1–98.5) 0.696 99.8 (99.6–100.0) 0.215 99.8 (99.7–100.0) 0.292
Pregnancy duration at abortion intake
 <35 days (ref) 98.0 (97.2–98.8) Ref 97.9 (97.1–98.7) Ref 99.8 (99.6–100.0) Ref 99.9 (99.7–100.0) Ref
 35–49 days 97.6 (97.0–98.2) 0.465 97.6 (97.0–98.2) 0.619 99.6 (99.3–99.8) 0.169 99.7 (99.5–99.9) 0.174
 50–56 days 98.3 (97.1–99.6) 0.663 98.2 (97.0–99.5) 0.610 99.5 (98.9–100.0) 0.259 99.7 (99.2–100.0) 0.276
 57–63 days 95.4 (92.3–98.5) 0.037 96.6 (94.3–99.0) 0.277 100.0 (100.0–100.0) . 100.0 (100.0–100.0) .
 64–70 days 95.5 (90.6–100.0) 0.182 96.7 (93.1–100.0) 0.493 100.0 (100.0–100.0) . 100.0 (100.0–100.0) .
Had confirmatory pre-abortion ultrasonography
 No pre-abortion ultrasonography (ref) 97.8 (97.4–98.3) Ref 97.8 (97.4–98.3) Ref 99.7 (99.5–99.8) Ref 99.7 (99.6–99.9) Ref
 Had pre-abortion ultrasonography 96.2 (94.2–98.1) 0.046 96.2 (94.1–98.2) 0.063 99.7 (99.2–100.0) 0.829 99.8 (99.4–100.0) 0.844

aThe two youngest age categories (16–17 and 18–19 years) were collapsed in the multivariable models to facilitate model convergence. bAmerican Indian, Alaska Native, Middle Eastern, North African, and Multiracial groups were collapsed in the multivariable models to facilitate model convergence.

Estimates were derived from marginal estimates from logistic regressions. Estimates were not adjusted for multiple comparisons. Imputation models included patient age, urbanicity, whether the patient obtained screening ultrasonography, whether the patient obtained synchronous or asynchronous telehealth care, whether the patient participated in CHAT surveys or a virtual clinic, and whether the patient used an abortion fund to pay for any portion of their abortion.