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Table 4 Average cost-effectiveness results from probabilistic sensitivity analyses

From: Achieving malaria testing and treatment targets for children under five in Mozambique: a cost-effectiveness analysis

Ā 

ICER per life saved

ICER per QALY gained

ICER per DALY averted

Status quo

NA

NA

NA

Scenario 1: 100% testing rate

18 (14ā€“19)

17 (13ā€“22)

13 (12ā€“18)

Scenario 2: Increase testing rate by 10%

13 (10ā€“14)

13 (10ā€“20)

10 (9ā€“13)

Scenario 3: 100% treatment rate

462 (393ā€“754)

640 (626ā€“636)

502 (405ā€“741)

Scenario 4: Increase treatment rate by 10%

81 (75ā€“107)

105 (91ā€“108)

87 (73ā€“100)

Scenario 5: 1 and 3

21 (19ā€“23)

21 (18ā€“26)

30 (25ā€“47)

Scenario 6: 2 and 4

35 (12ā€“56)

36 (9ā€“100)

28 (9ā€“74)

  1. Incremental results are compared to the status quo scenario. 95% credible intervals for the ICERs are in parentheses
  2. DALY, disability-adjusted life year; ICER, incremental cost-effectiveness ratio; NA, not applicable; QALY, quality-adjusted life-year