Table 1

Access and utilisation by selected demographics among study participants (n=280), Foundation for Innovative New Diagnostics Accelerator Project, 2022, Cambodia

CharacteristicsStudy participants (n=280)Access to Ag-RDT
(n=95)
Utilisation of Ag-RDT
(n=77)
N (%)N (%*)%† (95% CI)N (%*)%† (95% CI)
Gender
Male89 (31.8)36 (40.4)40.4 (30.2 to 50.6)31 (34.8)34.4 (21.6 to 47.2)
Female191 (68.2)59 (30.9)31.7 (23 to 40.3)46 (24.1)24.7 (16.6 to 32.7)
Age (mean, SD)(40.2 to 13.0)(37.7 to 11.7)(35.2 to 9.6)
18–27 years49 (17.5)19 (38.8)38.8 (25.1 to 52.4)17 (34.7)34.7 (21.4 to 48)
28–37 years76 (27.1)28 (36.8)36.9 (25.4 to 48.4)29 (38.2)40 (26.7 to 53.3)
38–47 years66 (23.6)27 (40.9)40.3 (24.6 to 56)22 (33.3)33.3 (21.9 to 44.7)
48 years and above89 (31.8)21 (23.6)23.6 (14.8 to 32.4)9 (10.1)10.1 (3.8 to 16.4)
Education
None to less than primary62 (22.1)13 (21.0)21 (10.8 to 31.1)3 (4.8)4.7 (0 to 10.4)
Secondary or less113 (40.4)32 (28.3)29.7 (17.8 to 41.7)22 (19.5)19.9 (12 to 27.8)
Completed high school or higher105 (37.5)50 (47.6)47.6 (38.1 to 57.2)52 (49.5)49.5 (39.9 to 59.1)
Occupation
Government/law enforcements24 (8.6)16 (66.7)66.7 (47.8 to 85.5)8 (33.3)27.2 (3 to 51.5)
Private company/NGO33 (11.8)21 (63.6)62.9 (45.4 to 80.3)20 (60.6)60.6 (43.9 to 77.3)
Housewife73 (26.1)15 (20.5)20.5 (11.3 to 29.8)16 (21.9)21.9 (12.4 to 31.4)
Unemployed/student23 (8.2)10 (43.5)43.5 (23.2 to 63.7)9 (39.1)39.1 (19.2 to 59.1)
Service/sale121 (43.2)31 (25.6)27.7 (15.1 to 40.3)23 (19.0)19 (12 to 25.9)
Others6 (2.1)2 (33.3)33.3 (0 to 71)1 (16.7)16.7 (0 to 46.5)
  • Note: Some categories might not add up to 100% due to rounding from mixed model.

  • *Row percentages reported here are raw percentages (not accounting for clustering effect of villages).

  • †Percentages reported here are linear model estimates (accounting for clustering effect of villages).

  • Ag-RDT, antigen rapid diagnostic test.