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. Author manuscript; available in PMC: 2023 Oct 1.
Published in final edited form as: AIDS Behav. 2022 Apr 8:10.1007/s10461-022-03672-y. doi: 10.1007/s10461-022-03672-y

Table 3.

Sensitivity and specificity of different cut-offs for the LR model in comparison to the baseline model for predicting retention in care as defined by 12-month gap and NHAS-outcome measures

Outcome measure for retention in care Model cutoff Sensitivity (%, 95%
CI)
Specificity
(%, 95%
CI)
Twelve-month gap measure LR model (predicted probability × 100)
≥ 80 93 (93, 94) 19 (16, 21)
≥ 86 84 (84, 84) 36 (34, 38)
≥ 89 73 (73, 74) 51 (48, 53)
≥ 91 63 (62, 63) 64 (62, 67)
≥ 92 56 (55, 56) 71 (69, 74)
≥ 94 38 (38, 39) 85 (83, 87)
≥ 95 29 (28, 29) 90 (89, 92)
Baseline model (predicted probability × 100)
≥ 87 90 (89, 90) 21 (19, 23)
≥ 88.8 80 (80, 80) 33 (31, 35)
≥ 90.3 73 (73, 73) 42 (40, 45)
≥ 91.5 64 (64, 65) 52 (50, 55)
≥ 92.2 51 (51, 51) 60 (59, 63)
≥ 92.5 45 (45, 46) 65 (63, 68)
≥ 93.1 33 (33, 34) 77 (75, 79)
NHAS-outcome measure LR model (predicted probability × 100)
≥ 82 80 (80, 80) 32 (32, 33)
≥ 84 70 (69, 70) 44 (43, 45)
≥ 86 60 (60, 60) 53 (52, 54)
≥ 87 56 (56, 57) 57 (56, 57)
≥ 89 41 (41, 42) 70 (69, 71)
≥ 91 28 (28,29) 80 (79, 81)
Baseline model (predicted probability × 100)
≥ 84.2 80 (80, 81) 31 (30, 32)
≥ 86.3 69 (68, 69) 44 (43,45)
≥ 87.5 60 (60, 60) 53 (52, 54)
≥ 88.5 49 (49, 50) 62 (61, 61)
≥ 89.4 40 (39, 40) 70 (69, 71)
≥ 90 34 (34, 34) 74 (73, 75)

Model cut-offs are represented as predicted probabilities × 100

LR logistic regression, CI confidence interval, NHAS National HIV/AIDS Strategy