Table 3

OR for 6-week mortality by transport delays among paediatric and adult participants in the severe febrile illness social biopsy study, Tanzania, 2015–2016

Transport delayPaediatric (n=160)*Adult (n=156)†
Cases (n=18)‡Controls (n=142)‡OR (95% CI)P valueAF§ (95% CI)Cases (n=34)‡Controls (n=122)‡OR (95% CI)P valueAF§ (95% CI)
Patient reported a delay due to transport or cost of transport at any point3 (16.7)9 (6.3)2.67 (0.66 to 10.76)0.1672 (5.9)7 (5.7)1.01 (0.18 to 5.52)0.995
Patient delayed >1 hour to reach a facility at any point¶7 (38.9)26 (18.4)3.27 (1.11 to 9.66)0.03227.0 (12.9 to 38.8)13 (38.2)20 (16.4)3.03 (1.32 to 6.99)0.00925.6 (14.3 to 35.5)
Transport time to first facility (hours)0.9 (2.0)**0.5 (0.8)**1.28 (0.89 to 1.85)0.1800.7 (0.9)0.5 (1.0)1.20 (0.86 to 1.67)0.286
Transport time to last facility (hours)1.3 (2.4)**0.8 (1.2)**1.23 (0.94 to 1.60)0.1260.8 (1.2)**0.8 (1.6)**1.06 (0.84 to 1.34)0.600
Total number of dichotomous transport delays present0.6 (0.7)**0.2 (0.5)**2.45 (1.12 to 5.33)0.0240.4 (0.6)**0.2 (0.5)**2.16 (1.07 to 4.36)0.031
  • *Paediatric analysis is based on 9:1 nearest-neighbour matching with deduplication based on age and gender.

  • †Adult analysis is based on 6:1 nearest-neighbour matching with deduplication based on age and gender.

  • ‡Data are reported as n (%) unless otherwise noted.

  • §Attributable fraction is reported as a percentage and is only given for the dichotomous delays significantly associated with mortality on conditional logistic regression analysis.

  • ¶We also estimated the OR for this delay at the first facility, the last facility and the first or last facility, none of which were significant.

  • **Data reported as mean (SD).

  • AF, attributable fraction.