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. 2018 Feb 21;3(1):e000507. doi: 10.1136/bmjgh-2017-000507

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 delay Paediatric (n=160)* Adult (n=156)†
Cases (n=18)‡ Controls (n=142)‡ OR (95% CI) P value AF§ (95% CI) Cases (n=34)‡ Controls (n=122)‡ OR (95% CI) P value AF§ (95% CI)
Patient reported a delay due to transport or cost of transport at any point 3 (16.7) 9 (6.3) 2.67 (0.66 to 10.76) 0.167 2 (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) 0.032 27.0 (12.9 to 38.8) 13 (38.2) 20 (16.4) 3.03 (1.32 to 6.99) 0.009 25.6 (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) 0.180 0.7 (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) 0.126 0.8 (1.2)** 0.8 (1.6)** 1.06 (0.84 to 1.34) 0.600
Total number of dichotomous transport delays present 0.6 (0.7)** 0.2 (0.5)** 2.45 (1.12 to 5.33) 0.024 0.4 (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.